evaluation_results_wo_pipeline.csv

q_idx,variant,query,data_services,pipeline,output,output_json,example_query,example_pipeline
q0,0,Give me the serial number of camera 1 and camera 2 of all the diecutters in the factory.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecuttersIdOfFactory, GetSerialCamera1IdFromDiecutterId, GetSerialCamera2IdFromDiecutterId

def pipeline_function():
    # Retrieve all diecutter IDs from the factory
    diecutters_id = GetDiecuttersIdOfFactory.call()
    
    # Prepare a list to store the results
    results = []
    
    # Iterate over each diecutter ID to get the serial numbers of camera1 and camera2
    for diecutter_id in diecutters_id:
        # Get the serial number of camera1 installed on the current diecutter
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Get the serial number of camera2 installed on the current diecutter
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Append the result as a dictionary to the results list
        results.append({
            ""diecutter_id"": diecutter_id,
            ""serial_camera1"": serial_camera1,
            ""serial_camera2"": serial_camera2
        })
    
    return results","+----+----------------+------------------+------------------+
|    |   diecutter_id |   serial_camera1 |   serial_camera2 |
|----+----------------+------------------+------------------|
|  0 |          60494 |           659422 |           228852 |
|  1 |          65125 |           452726 |           169015 |
|  2 |          15306 |           762265 |           217913 |
|  3 |          43936 |           120083 |           855200 |
|  4 |          77013 |           284217 |           681195 |
|  5 |          73691 |           622256 |           483483 |
+----+----------------+------------------+------------------+","[{'diecutter_id': 60494, 'serial_camera1': 659422, 'serial_camera2': 228852}, {'diecutter_id': 65125, 'serial_camera1': 452726, 'serial_camera2': 169015}, {'diecutter_id': 15306, 'serial_camera1': 762265, 'serial_camera2': 217913}, {'diecutter_id': 43936, 'serial_camera1': 120083, 'serial_camera2': 855200}, {'diecutter_id': 77013, 'serial_camera1': 284217, 'serial_camera2': 681195}, {'diecutter_id': 73691, 'serial_camera1': 622256, 'serial_camera2': 483483}]",Given 88888404 serial number tell me the type of camera and the diecutter it is installed on.,"from data_services.database import GetSerialCamera1IdFromDiecutterId
from data_services.database import GetSerialCamera2IdFromDiecutterId
from data_services.database import GetDiecuttersIdOfFactory

def pipeline_function():
    serial_number = 88888404

    results = []

    diecutters_ids = GetDiecuttersIdOfFactory.call()
    for diecutter_id in diecutters_ids:
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        if serial_camera1 == serial_number:
            camera_type = ""camera1""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
        elif serial_camera2 == serial_number:
            camera_type = ""camera2""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
    
    return results"
q0,1,Provide a list of serial numbers for camera 1 and camera 2 from every diecutter within the factory.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecuttersIdOfFactory, GetSerialCamera1IdFromDiecutterId, GetSerialCamera2IdFromDiecutterId

def pipeline_function():
    # Retrieve all diecutter IDs from the factory
    diecutters_id = GetDiecuttersIdOfFactory.call()
    
    # Prepare a list to store the results
    results = []
    
    # Iterate over each diecutter ID to get the serial numbers of camera1 and camera2
    for diecutter_id in diecutters_id:
        # Get the serial number of camera1 installed in the current diecutter
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Get the serial number of camera2 installed in the current diecutter
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Append the result as a dictionary to the results list
        results.append({
            ""diecutter_id"": diecutter_id,
            ""serial_camera1"": serial_camera1,
            ""serial_camera2"": serial_camera2
        })
    
    return results","+----+----------------+------------------+------------------+
|    |   diecutter_id |   serial_camera1 |   serial_camera2 |
|----+----------------+------------------+------------------|
|  0 |          60494 |           659422 |           228852 |
|  1 |          65125 |           452726 |           169015 |
|  2 |          15306 |           762265 |           217913 |
|  3 |          43936 |           120083 |           855200 |
|  4 |          77013 |           284217 |           681195 |
|  5 |          73691 |           622256 |           483483 |
+----+----------------+------------------+------------------+","[{'diecutter_id': 60494, 'serial_camera1': 659422, 'serial_camera2': 228852}, {'diecutter_id': 65125, 'serial_camera1': 452726, 'serial_camera2': 169015}, {'diecutter_id': 15306, 'serial_camera1': 762265, 'serial_camera2': 217913}, {'diecutter_id': 43936, 'serial_camera1': 120083, 'serial_camera2': 855200}, {'diecutter_id': 77013, 'serial_camera1': 284217, 'serial_camera2': 681195}, {'diecutter_id': 73691, 'serial_camera1': 622256, 'serial_camera2': 483483}]",Given 88888404 serial number tell me the type of camera and the diecutter it is installed on.,"from data_services.database import GetSerialCamera1IdFromDiecutterId
from data_services.database import GetSerialCamera2IdFromDiecutterId
from data_services.database import GetDiecuttersIdOfFactory

def pipeline_function():
    serial_number = 88888404

    results = []

    diecutters_ids = GetDiecuttersIdOfFactory.call()
    for diecutter_id in diecutters_ids:
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        if serial_camera1 == serial_number:
            camera_type = ""camera1""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
        elif serial_camera2 == serial_number:
            camera_type = ""camera2""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
    
    return results"
q0,2,Provide the serial numbers for camera 1 and camera 2 from every diecutter within the factory.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecuttersIdOfFactory, GetSerialCamera1IdFromDiecutterId, GetSerialCamera2IdFromDiecutterId

def pipeline_function():
    # Retrieve all diecutter IDs from the factory
    diecutters_id = GetDiecuttersIdOfFactory.call()
    
    # Prepare a list to store the results
    results = []
    
    # Iterate over each diecutter ID to get the serial numbers of camera1 and camera2
    for diecutter_id in diecutters_id:
        # Get the serial number of camera1 installed in the diecutter
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Get the serial number of camera2 installed in the diecutter
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Append the result as a dictionary to the results list
        results.append({
            ""diecutter_id"": diecutter_id,
            ""serial_camera1"": serial_camera1,
            ""serial_camera2"": serial_camera2
        })
    
    return results","+----+----------------+------------------+------------------+
|    |   diecutter_id |   serial_camera1 |   serial_camera2 |
|----+----------------+------------------+------------------|
|  0 |          60494 |           659422 |           228852 |
|  1 |          65125 |           452726 |           169015 |
|  2 |          15306 |           762265 |           217913 |
|  3 |          43936 |           120083 |           855200 |
|  4 |          77013 |           284217 |           681195 |
|  5 |          73691 |           622256 |           483483 |
+----+----------------+------------------+------------------+","[{'diecutter_id': 60494, 'serial_camera1': 659422, 'serial_camera2': 228852}, {'diecutter_id': 65125, 'serial_camera1': 452726, 'serial_camera2': 169015}, {'diecutter_id': 15306, 'serial_camera1': 762265, 'serial_camera2': 217913}, {'diecutter_id': 43936, 'serial_camera1': 120083, 'serial_camera2': 855200}, {'diecutter_id': 77013, 'serial_camera1': 284217, 'serial_camera2': 681195}, {'diecutter_id': 73691, 'serial_camera1': 622256, 'serial_camera2': 483483}]",Given 88888404 serial number tell me the type of camera and the diecutter it is installed on.,"from data_services.database import GetSerialCamera1IdFromDiecutterId
from data_services.database import GetSerialCamera2IdFromDiecutterId
from data_services.database import GetDiecuttersIdOfFactory

def pipeline_function():
    serial_number = 88888404

    results = []

    diecutters_ids = GetDiecuttersIdOfFactory.call()
    for diecutter_id in diecutters_ids:
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        if serial_camera1 == serial_number:
            camera_type = ""camera1""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
        elif serial_camera2 == serial_number:
            camera_type = ""camera2""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
    
    return results"
q0,3,Provide the serial numbers for both camera one and camera two from every diecutter within the plant.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecuttersIdOfFactory, GetSerialCamera1IdFromDiecutterId, GetSerialCamera2IdFromDiecutterId

def pipeline_function():
    # Retrieve all diecutter IDs from the factory
    diecutters_id = GetDiecuttersIdOfFactory.call()
    
    # Prepare a list to store the results
    results = []
    
    # Iterate over each diecutter ID to get the serial numbers of camera1 and camera2
    for diecutter_id in diecutters_id:
        # Get the serial number of camera1 installed in the diecutter
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Get the serial number of camera2 installed in the diecutter
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Append the result for this diecutter to the results list
        results.append({
            ""diecutter_id"": diecutter_id,
            ""serial_camera1"": serial_camera1,
            ""serial_camera2"": serial_camera2
        })
    
    return results","+----+----------------+------------------+------------------+
|    |   diecutter_id |   serial_camera1 |   serial_camera2 |
|----+----------------+------------------+------------------|
|  0 |          60494 |           659422 |           228852 |
|  1 |          65125 |           452726 |           169015 |
|  2 |          15306 |           762265 |           217913 |
|  3 |          43936 |           120083 |           855200 |
|  4 |          77013 |           284217 |           681195 |
|  5 |          73691 |           622256 |           483483 |
+----+----------------+------------------+------------------+","[{'diecutter_id': 60494, 'serial_camera1': 659422, 'serial_camera2': 228852}, {'diecutter_id': 65125, 'serial_camera1': 452726, 'serial_camera2': 169015}, {'diecutter_id': 15306, 'serial_camera1': 762265, 'serial_camera2': 217913}, {'diecutter_id': 43936, 'serial_camera1': 120083, 'serial_camera2': 855200}, {'diecutter_id': 77013, 'serial_camera1': 284217, 'serial_camera2': 681195}, {'diecutter_id': 73691, 'serial_camera1': 622256, 'serial_camera2': 483483}]",Given 88888404 serial number tell me the type of camera and the diecutter it is installed on.,"from data_services.database import GetSerialCamera1IdFromDiecutterId
from data_services.database import GetSerialCamera2IdFromDiecutterId
from data_services.database import GetDiecuttersIdOfFactory

def pipeline_function():
    serial_number = 88888404

    results = []

    diecutters_ids = GetDiecuttersIdOfFactory.call()
    for diecutter_id in diecutters_ids:
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        if serial_camera1 == serial_number:
            camera_type = ""camera1""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
        elif serial_camera2 == serial_number:
            camera_type = ""camera2""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
    
    return results"
q0,4,List the serial numbers for camera 1 and camera 2 associated with each diecutter throughout the factory.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecuttersIdOfFactory, GetSerialCamera1IdFromDiecutterId, GetSerialCamera2IdFromDiecutterId

def pipeline_function():
    # Retrieve all diecutter IDs from the factory
    diecutters_id = GetDiecuttersIdOfFactory.call()
    
    # Prepare a list to hold the results
    results = []
    
    # Iterate over each diecutter ID to get the serial numbers of camera1 and camera2
    for diecutter_id in diecutters_id:
        # Get the serial number of camera1 associated with the current diecutter
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Get the serial number of camera2 associated with the current diecutter
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Append the result as a dictionary to the results list
        results.append({
            ""diecutter_id"": diecutter_id,
            ""serial_camera1"": serial_camera1,
            ""serial_camera2"": serial_camera2
        })
    
    return results","+----+----------------+------------------+------------------+
|    |   diecutter_id |   serial_camera1 |   serial_camera2 |
|----+----------------+------------------+------------------|
|  0 |          60494 |           659422 |           228852 |
|  1 |          65125 |           452726 |           169015 |
|  2 |          15306 |           762265 |           217913 |
|  3 |          43936 |           120083 |           855200 |
|  4 |          77013 |           284217 |           681195 |
|  5 |          73691 |           622256 |           483483 |
+----+----------------+------------------+------------------+","[{'diecutter_id': 60494, 'serial_camera1': 659422, 'serial_camera2': 228852}, {'diecutter_id': 65125, 'serial_camera1': 452726, 'serial_camera2': 169015}, {'diecutter_id': 15306, 'serial_camera1': 762265, 'serial_camera2': 217913}, {'diecutter_id': 43936, 'serial_camera1': 120083, 'serial_camera2': 855200}, {'diecutter_id': 77013, 'serial_camera1': 284217, 'serial_camera2': 681195}, {'diecutter_id': 73691, 'serial_camera1': 622256, 'serial_camera2': 483483}]",Given 88888404 serial number tell me the type of camera and the diecutter it is installed on.,"from data_services.database import GetSerialCamera1IdFromDiecutterId
from data_services.database import GetSerialCamera2IdFromDiecutterId
from data_services.database import GetDiecuttersIdOfFactory

def pipeline_function():
    serial_number = 88888404

    results = []

    diecutters_ids = GetDiecuttersIdOfFactory.call()
    for diecutter_id in diecutters_ids:
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        if serial_camera1 == serial_number:
            camera_type = ""camera1""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
        elif serial_camera2 == serial_number:
            camera_type = ""camera2""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
    
    return results"
q0,5,Provide a list showing the serial numbers for camera 1 and camera 2 associated with every diecutter within the factory.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecuttersIdOfFactory, GetSerialCamera1IdFromDiecutterId, GetSerialCamera2IdFromDiecutterId

def pipeline_function():
    # Retrieve the list of all diecutters in the factory
    diecutters_id = GetDiecuttersIdOfFactory.call()
    
    # Prepare a list to store the results
    results = []
    
    # Iterate over each diecutter ID to get the serial numbers of camera1 and camera2
    for diecutter_id in diecutters_id:
        # Get the serial number of camera1 associated with the current diecutter
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Get the serial number of camera2 associated with the current diecutter
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Append the result as a dictionary to the results list
        results.append({
            ""diecutter_id"": diecutter_id,
            ""serial_camera1"": serial_camera1,
            ""serial_camera2"": serial_camera2
        })
    
    return results","+----+----------------+------------------+------------------+
|    |   diecutter_id |   serial_camera1 |   serial_camera2 |
|----+----------------+------------------+------------------|
|  0 |          60494 |           659422 |           228852 |
|  1 |          65125 |           452726 |           169015 |
|  2 |          15306 |           762265 |           217913 |
|  3 |          43936 |           120083 |           855200 |
|  4 |          77013 |           284217 |           681195 |
|  5 |          73691 |           622256 |           483483 |
+----+----------------+------------------+------------------+","[{'diecutter_id': 60494, 'serial_camera1': 659422, 'serial_camera2': 228852}, {'diecutter_id': 65125, 'serial_camera1': 452726, 'serial_camera2': 169015}, {'diecutter_id': 15306, 'serial_camera1': 762265, 'serial_camera2': 217913}, {'diecutter_id': 43936, 'serial_camera1': 120083, 'serial_camera2': 855200}, {'diecutter_id': 77013, 'serial_camera1': 284217, 'serial_camera2': 681195}, {'diecutter_id': 73691, 'serial_camera1': 622256, 'serial_camera2': 483483}]",Given 88888404 serial number tell me the type of camera and the diecutter it is installed on.,"from data_services.database import GetSerialCamera1IdFromDiecutterId
from data_services.database import GetSerialCamera2IdFromDiecutterId
from data_services.database import GetDiecuttersIdOfFactory

def pipeline_function():
    serial_number = 88888404

    results = []

    diecutters_ids = GetDiecuttersIdOfFactory.call()
    for diecutter_id in diecutters_ids:
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        if serial_camera1 == serial_number:
            camera_type = ""camera1""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
        elif serial_camera2 == serial_number:
            camera_type = ""camera2""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
    
    return results"
q0,6,Provide the serial numbers for cameras one and two from every diecutter in the plant.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecuttersIdOfFactory, GetSerialCamera1IdFromDiecutterId, GetSerialCamera2IdFromDiecutterId

def pipeline_function():
    # Retrieve all diecutter IDs from the factory
    diecutters_id = GetDiecuttersIdOfFactory.call()
    
    # Prepare a list to store the results
    results = []
    
    # Iterate over each diecutter ID to get the serial numbers of camera1 and camera2
    for diecutter_id in diecutters_id:
        # Get the serial number of camera1 installed on the current diecutter
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Get the serial number of camera2 installed on the current diecutter
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Append the result for the current diecutter to the results list
        results.append({
            ""diecutter_id"": diecutter_id,
            ""serial_camera1"": serial_camera1,
            ""serial_camera2"": serial_camera2
        })
    
    return results","+----+----------------+------------------+------------------+
|    |   diecutter_id |   serial_camera1 |   serial_camera2 |
|----+----------------+------------------+------------------|
|  0 |          60494 |           659422 |           228852 |
|  1 |          65125 |           452726 |           169015 |
|  2 |          15306 |           762265 |           217913 |
|  3 |          43936 |           120083 |           855200 |
|  4 |          77013 |           284217 |           681195 |
|  5 |          73691 |           622256 |           483483 |
+----+----------------+------------------+------------------+","[{'diecutter_id': 60494, 'serial_camera1': 659422, 'serial_camera2': 228852}, {'diecutter_id': 65125, 'serial_camera1': 452726, 'serial_camera2': 169015}, {'diecutter_id': 15306, 'serial_camera1': 762265, 'serial_camera2': 217913}, {'diecutter_id': 43936, 'serial_camera1': 120083, 'serial_camera2': 855200}, {'diecutter_id': 77013, 'serial_camera1': 284217, 'serial_camera2': 681195}, {'diecutter_id': 73691, 'serial_camera1': 622256, 'serial_camera2': 483483}]",Given 88888404 serial number tell me the type of camera and the diecutter it is installed on.,"from data_services.database import GetSerialCamera1IdFromDiecutterId
from data_services.database import GetSerialCamera2IdFromDiecutterId
from data_services.database import GetDiecuttersIdOfFactory

def pipeline_function():
    serial_number = 88888404

    results = []

    diecutters_ids = GetDiecuttersIdOfFactory.call()
    for diecutter_id in diecutters_ids:
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        if serial_camera1 == serial_number:
            camera_type = ""camera1""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
        elif serial_camera2 == serial_number:
            camera_type = ""camera2""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
    
    return results"
q0,7,Retrieve the serial numbers for camera 1 and camera 2 from every diecutter within the plant.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecuttersIdOfFactory, GetSerialCamera1IdFromDiecutterId, GetSerialCamera2IdFromDiecutterId

def pipeline_function():
    # Retrieve all diecutter IDs from the factory
    diecutters_id = GetDiecuttersIdOfFactory.call()
    
    # Prepare a list to store the results
    results = []
    
    # Iterate over each diecutter ID to get the serial numbers of camera1 and camera2
    for diecutter_id in diecutters_id:
        # Get the serial number of camera1 installed in the diecutter
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Get the serial number of camera2 installed in the diecutter
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Append the result as a dictionary to the results list
        results.append({
            ""diecutter_id"": diecutter_id,
            ""serial_camera1"": serial_camera1,
            ""serial_camera2"": serial_camera2
        })
    
    return results","+----+----------------+------------------+------------------+
|    |   diecutter_id |   serial_camera1 |   serial_camera2 |
|----+----------------+------------------+------------------|
|  0 |          60494 |           659422 |           228852 |
|  1 |          65125 |           452726 |           169015 |
|  2 |          15306 |           762265 |           217913 |
|  3 |          43936 |           120083 |           855200 |
|  4 |          77013 |           284217 |           681195 |
|  5 |          73691 |           622256 |           483483 |
+----+----------------+------------------+------------------+","[{'diecutter_id': 60494, 'serial_camera1': 659422, 'serial_camera2': 228852}, {'diecutter_id': 65125, 'serial_camera1': 452726, 'serial_camera2': 169015}, {'diecutter_id': 15306, 'serial_camera1': 762265, 'serial_camera2': 217913}, {'diecutter_id': 43936, 'serial_camera1': 120083, 'serial_camera2': 855200}, {'diecutter_id': 77013, 'serial_camera1': 284217, 'serial_camera2': 681195}, {'diecutter_id': 73691, 'serial_camera1': 622256, 'serial_camera2': 483483}]",Given 88888404 serial number tell me the type of camera and the diecutter it is installed on.,"from data_services.database import GetSerialCamera1IdFromDiecutterId
from data_services.database import GetSerialCamera2IdFromDiecutterId
from data_services.database import GetDiecuttersIdOfFactory

def pipeline_function():
    serial_number = 88888404

    results = []

    diecutters_ids = GetDiecuttersIdOfFactory.call()
    for diecutter_id in diecutters_ids:
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        if serial_camera1 == serial_number:
            camera_type = ""camera1""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
        elif serial_camera2 == serial_number:
            camera_type = ""camera2""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
    
    return results"
q0,8,Provide the serial numbers for cameras 1 and 2 from each diecutter throughout the factory.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecuttersIdOfFactory, GetSerialCamera1IdFromDiecutterId, GetSerialCamera2IdFromDiecutterId

def pipeline_function():
    # Retrieve all diecutter IDs from the factory
    diecutters_id = GetDiecuttersIdOfFactory.call()
    
    # Prepare a list to store the results
    results = []
    
    # Iterate over each diecutter ID to get the serial numbers of camera1 and camera2
    for diecutter_id in diecutters_id:
        # Get the serial number of camera1 installed on the current diecutter
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Get the serial number of camera2 installed on the current diecutter
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        
        # Append the result for the current diecutter to the results list
        results.append({
            ""diecutter_id"": diecutter_id,
            ""serial_camera1"": serial_camera1,
            ""serial_camera2"": serial_camera2
        })
    
    return results","+----+----------------+------------------+------------------+
|    |   diecutter_id |   serial_camera1 |   serial_camera2 |
|----+----------------+------------------+------------------|
|  0 |          60494 |           659422 |           228852 |
|  1 |          65125 |           452726 |           169015 |
|  2 |          15306 |           762265 |           217913 |
|  3 |          43936 |           120083 |           855200 |
|  4 |          77013 |           284217 |           681195 |
|  5 |          73691 |           622256 |           483483 |
+----+----------------+------------------+------------------+","[{'diecutter_id': 60494, 'serial_camera1': 659422, 'serial_camera2': 228852}, {'diecutter_id': 65125, 'serial_camera1': 452726, 'serial_camera2': 169015}, {'diecutter_id': 15306, 'serial_camera1': 762265, 'serial_camera2': 217913}, {'diecutter_id': 43936, 'serial_camera1': 120083, 'serial_camera2': 855200}, {'diecutter_id': 77013, 'serial_camera1': 284217, 'serial_camera2': 681195}, {'diecutter_id': 73691, 'serial_camera1': 622256, 'serial_camera2': 483483}]",Given 88888404 serial number tell me the type of camera and the diecutter it is installed on.,"from data_services.database import GetSerialCamera1IdFromDiecutterId
from data_services.database import GetSerialCamera2IdFromDiecutterId
from data_services.database import GetDiecuttersIdOfFactory

def pipeline_function():
    serial_number = 88888404

    results = []

    diecutters_ids = GetDiecuttersIdOfFactory.call()
    for diecutter_id in diecutters_ids:
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        if serial_camera1 == serial_number:
            camera_type = ""camera1""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
        elif serial_camera2 == serial_number:
            camera_type = ""camera2""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
    
    return results"
q0,9,Provide the serial numbers for cameras 1 and 2 from every diecutter in the plant.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecuttersIdOfFactory, GetSerialCamera1IdFromDiecutterId, GetSerialCamera2IdFromDiecutterId
import threading

def pipeline_function():
    # Retrieve all diecutter IDs from the factory
    diecutters_id = GetDiecuttersIdOfFactory.call()
    
    # Prepare to collect camera serials for each diecutter
    results = []
    
    def collect_serials(diecutter_id):
        # Retrieve serial numbers for camera1 and camera2 for each diecutter
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        results.append({
            ""diecutter_id"": diecutter_id,
            ""serial_camera1"": serial_camera1,
            ""serial_camera2"": serial_camera2
        })
    
    # Create threads for each diecutter to parallelize the data retrieval
    threads = []
    for diecutter_id in diecutters_id:
        thread = threading.Thread(target=collect_serials, args=(diecutter_id,))
        threads.append(thread)
        thread.start()
    
    # Wait for all threads to complete
    for thread in threads:
        thread.join()
    
    return results","+----+----------------+------------------+------------------+
|    |   diecutter_id |   serial_camera1 |   serial_camera2 |
|----+----------------+------------------+------------------|
|  0 |          60494 |           659422 |           228852 |
|  1 |          65125 |           452726 |           169015 |
|  2 |          15306 |           762265 |           217913 |
|  3 |          43936 |           120083 |           855200 |
|  4 |          77013 |           284217 |           681195 |
|  5 |          73691 |           622256 |           483483 |
+----+----------------+------------------+------------------+","[{'diecutter_id': 60494, 'serial_camera1': 659422, 'serial_camera2': 228852}, {'diecutter_id': 65125, 'serial_camera1': 452726, 'serial_camera2': 169015}, {'diecutter_id': 15306, 'serial_camera1': 762265, 'serial_camera2': 217913}, {'diecutter_id': 43936, 'serial_camera1': 120083, 'serial_camera2': 855200}, {'diecutter_id': 77013, 'serial_camera1': 284217, 'serial_camera2': 681195}, {'diecutter_id': 73691, 'serial_camera1': 622256, 'serial_camera2': 483483}]",Given 88888404 serial number tell me the type of camera and the diecutter it is installed on.,"from data_services.database import GetSerialCamera1IdFromDiecutterId
from data_services.database import GetSerialCamera2IdFromDiecutterId
from data_services.database import GetDiecuttersIdOfFactory

def pipeline_function():
    serial_number = 88888404

    results = []

    diecutters_ids = GetDiecuttersIdOfFactory.call()
    for diecutter_id in diecutters_ids:
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
        if serial_camera1 == serial_number:
            camera_type = ""camera1""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
        elif serial_camera2 == serial_number:
            camera_type = ""camera2""
            results.append({
                'serial number': serial_number,
                'diecutter_id': diecutter_id,
                'type': camera_type
            })
            break
    
    return results"
q1,0,Generate a table containing the max speed of the diecutter with id 25 over a time span of 30 seconds.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecutterChipIdFromDiecutterId, GetCurrentDataFromChip
import time

def pipeline_function():
    # Get the chip ID from the diecutter ID
    diecutter_id = 25
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Collect data over a time span of 30 seconds
    max_speed = 0
    start_time = time.time()
    while time.time() - start_time < 30:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        current_speed = current_data[""speed""]
        if current_speed > max_speed:
            max_speed = current_speed
        time.sleep(1)  # Sleep to ensure we only collect data once per second

    # Return the result as a list of dictionaries
    return [{""max_speed"": max_speed}]",The pipeline did not run successfully,"[{'diecutter_id': 60494, 'serial_camera1': 659422, 'serial_camera2': 228852}, {'diecutter_id': 65125, 'serial_camera1': 452726, 'serial_camera2': 169015}, {'diecutter_id': 15306, 'serial_camera1': 762265, 'serial_camera2': 217913}, {'diecutter_id': 43936, 'serial_camera1': 120083, 'serial_camera2': 855200}, {'diecutter_id': 77013, 'serial_camera1': 284217, 'serial_camera2': 681195}, {'diecutter_id': 73691, 'serial_camera1': 622256, 'serial_camera2': 483483}]","Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q1,1,Construct a table displaying the highest speed of the diecutter identified by id 25 during a 30-second interval.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecutterChipIdFromDiecutterId, GetCurrentDataFromChip

def pipeline_function():
    # Get the chip ID for the diecutter with ID 25
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=25)
    
    # Initialize a list to store the highest speed observed
    highest_speed = 0
    
    # Collect data over a 30-second interval
    for _ in range(30):
        # Get the current data from the chip
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        
        # Update the highest speed if the current speed is greater
        if current_data['speed'] > highest_speed:
            highest_speed = current_data['speed']
    
    # Return the result as a list containing a single dictionary
    return [{'highest_speed': highest_speed}]",The pipeline did not run successfully,"[{'diecutter_id': 60494, 'serial_camera1': 659422, 'serial_camera2': 228852}, {'diecutter_id': 65125, 'serial_camera1': 452726, 'serial_camera2': 169015}, {'diecutter_id': 15306, 'serial_camera1': 762265, 'serial_camera2': 217913}, {'diecutter_id': 43936, 'serial_camera1': 120083, 'serial_camera2': 855200}, {'diecutter_id': 77013, 'serial_camera1': 284217, 'serial_camera2': 681195}, {'diecutter_id': 73691, 'serial_camera1': 622256, 'serial_camera2': 483483}]","Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q1,2,Create a table showing the highest speed reached by the diecutter identified by ID 25 in a duration of 30 seconds.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
import time

def pipeline_function():
    # Get the chip ID for the diecutter with ID 25
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=25)
    
    # Initialize variables to track the highest speed
    highest_speed = 0
    
    # Collect data for 30 seconds
    start_time = time.time()
    while time.time() - start_time < 30:
        # Get the current data from the chip
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        
        # Update the highest speed if the current speed is greater
        if current_data['speed'] > highest_speed:
            highest_speed = current_data['speed']
        
        # Wait for 1 second before the next data fetch
        time.sleep(1)
    
    # Return the result as a list containing a single dictionary
    return [{'highest_speed': highest_speed}]","+----+-----------------+
|    |   highest_speed |
|----+-----------------|
|  0 |               9 |
+----+-----------------+",[{'highest_speed': 9}],"Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q1,3,Produce a table showing the maximum speed of the diecutter identified by id 25 within a 30-second interval.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
import threading
import time

def pipeline_function():
    # Get the chip ID from the diecutter ID
    diecutter_id = 25
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Function to get current data from the chip
    def get_current_data():
        return GetCurrentDataFromChip.call(chip_id=chip_id)
    
    # Collect data for 30 seconds
    max_speed = 0
    start_time = time.time()
    while time.time() - start_time < 30:
        current_data = get_current_data()
        max_speed = max(max_speed, current_data[""speed""])
        time.sleep(1)  # Sleep to ensure we only collect once per second
    
    # Return the result as a list of dictionaries
    return [{""max_speed"": max_speed}]","+----+-------------+
|    |   max_speed |
|----+-------------|
|  0 |           9 |
+----+-------------+",[{'max_speed': 9}],"Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q1,4,Create a table showing the highest speed reached by the diecutter identified by id 25 within a 30-second interval.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
import time

def pipeline_function():
    # Get the chip ID for the diecutter with ID 25
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=25)
    
    # Initialize a list to store the maximum speeds
    max_speeds = []
    
    # Collect data for 30 seconds
    start_time = time.time()
    max_speed = 0
    while time.time() - start_time < 30:
        # Get the current data from the chip
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        current_speed = current_data[""speed""]
        
        # Update the maximum speed if the current speed is higher
        if current_speed > max_speed:
            max_speed = current_speed
        
        # Sleep for 1 second to match the refresh rate of the data
        time.sleep(1)
    
    # Append the maximum speed found in the 30-second interval
    max_speeds.append({""max_speed"": max_speed})
    
    return max_speeds","+----+-------------+
|    |   max_speed |
|----+-------------|
|  0 |           9 |
+----+-------------+",[{'max_speed': 9}],"Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q1,5,Create a table that shows the maximum speed of the diecutter identified by id 25 during a 30-second interval.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
import threading

def pipeline_function():
    # Get the chip ID for the diecutter with ID 25
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=25)
    
    # Function to get data from the chip
    def get_chip_data():
        return GetCurrentDataFromChip.call(chip_id=chip_id)
    
    # Collect data over 30 seconds
    max_speed = 0
    threads = []
    results = []
    
    # Create a thread for each second to collect data
    for _ in range(30):
        thread = threading.Thread(target=lambda: results.append(get_chip_data()))
        threads.append(thread)
        thread.start()
    
    # Wait for all threads to complete
    for thread in threads:
        thread.join()
    
    # Extract the maximum speed from the collected data
    for result in results:
        if result['speed'] > max_speed:
            max_speed = result['speed']
    
    # Return the result as a list containing a single dictionary
    return [{'max_speed': max_speed}]","+----+-------------+
|    |   max_speed |
|----+-------------|
|  0 |           8 |
+----+-------------+",[{'max_speed': 8}],"Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q1,6,Create a table showing the maximum speed reached by the diecutter identified by id 25 during a period of 30 seconds.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
import threading

def pipeline_function():
    # Get the chip ID for the diecutter with ID 25
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=25)
    
    # Function to get current data from the chip
    def get_current_data():
        return GetCurrentDataFromChip.call(chip_id=chip_id)
    
    # Collect data for 30 seconds
    max_speed = 0
    threads = []
    results = []
    
    # Start threads to collect data every second
    for _ in range(30):
        thread = threading.Thread(target=lambda: results.append(get_current_data()))
        threads.append(thread)
        thread.start()
    
    # Wait for all threads to complete
    for thread in threads:
        thread.join()
    
    # Extract maximum speed from the results
    for result in results:
        if result['speed'] > max_speed:
            max_speed = result['speed']
    
    # Return the result as a list of dictionaries
    return [{'max_speed': max_speed}]","+----+-------------+
|    |   max_speed |
|----+-------------|
|  0 |           8 |
+----+-------------+",[{'max_speed': 8}],"Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q1,7,Create a table showing the highest speed of the diecutter identified by id 25 over a period of 30 seconds.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
import time

def pipeline_function():
    # Get the chip ID from the diecutter ID
    diecutter_id = 25
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Collect speed data over 30 seconds
    speeds = []
    start_time = time.time()
    while time.time() - start_time < 30:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        speeds.append(current_data['speed'])
        time.sleep(1)  # Sleep to ensure data is collected once every second
    
    # Find the highest speed
    highest_speed = max(speeds)
    
    # Return the result as a list of dictionaries
    return [{'highest_speed': highest_speed}]","+----+-----------------+
|    |   highest_speed |
|----+-----------------|
|  0 |               9 |
+----+-----------------+",[{'highest_speed': 9}],"Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q1,8,Create a table displaying the highest speed of the diecutter identified by id 25 during a period of 30 seconds.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecutterChipIdFromDiecutterId, GetCurrentDataFromChip

def pipeline_function():
    # Get the chip ID from the diecutter ID
    diecutter_id = 25
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Initialize variables to track the highest speed
    highest_speed = 0
    
    # Collect data for 30 seconds
    for _ in range(30):
        # Get the current data from the chip
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        
        # Update the highest speed if the current speed is greater
        if current_data['speed'] > highest_speed:
            highest_speed = current_data['speed']
    
    # Return the result as a list containing a single dictionary
    return [{'highest_speed': highest_speed}]",The pipeline did not run successfully,[{'highest_speed': 9}],"Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q1,9,Create a table showing the maximum speed for the diecutter identified by ID 25 over a duration of 30 seconds.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
import time

def pipeline_function():
    # Get the chip ID from the diecutter ID
    diecutter_id = 25
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Collect data over 30 seconds
    max_speed = 0
    start_time = time.time()
    while time.time() - start_time < 30:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        max_speed = max(max_speed, current_data[""speed""])
        time.sleep(1)  # Sleep to ensure we only collect once per second

    # Return the result as a list containing a single dictionary
    return [{""max_speed"": max_speed}]","+----+-------------+
|    |   max_speed |
|----+-------------|
|  0 |           9 |
+----+-------------+",[{'max_speed': 9}],"Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q2,0,"Generate a list of average speed values for the current session of the diecutter 7, where each average value is computed over 10 consecutive, non-overlapping time windows of 10 seconds.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import time
from data_services.database import GetCurrentSessionIdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip

def pipeline_function():
    diecutter_id = 7  # Specific diecutter ID as per the query
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Collect data over 10 consecutive, non-overlapping time windows of 10 seconds each
    average_speeds = []
    for _ in range(10):
        speeds = []
        start_time = time.time()
        while time.time() - start_time < 10:
            current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
            speeds.append(current_data['speed'])
            time.sleep(1)  # Ensure data is collected once every second
        
        # Calculate average speed for the current 10-second window
        if speeds:
            average_speed = sum(speeds) / len(speeds)
            average_speeds.append({'session_id': session_id, 'average_speed': average_speed})
    
    return average_speeds","+----+--------------+-----------------+
|    |   session_id |   average_speed |
|----+--------------+-----------------|
|  0 |           47 |             5.7 |
|  1 |           47 |             4.3 |
|  2 |           47 |             6.1 |
|  3 |           47 |             4.8 |
|  4 |           47 |             5.1 |
|  5 |           47 |             4.6 |
|  6 |           47 |             4.2 |
|  7 |           47 |             3.8 |
|  8 |           47 |             4.4 |
|  9 |           47 |             5.5 |
+----+--------------+-----------------+","[{'session_id': 47, 'average_speed': 5.7}, {'session_id': 47, 'average_speed': 4.3}, {'session_id': 47, 'average_speed': 6.1}, {'session_id': 47, 'average_speed': 4.8}, {'session_id': 47, 'average_speed': 5.1}, {'session_id': 47, 'average_speed': 4.6}, {'session_id': 47, 'average_speed': 4.2}, {'session_id': 47, 'average_speed': 3.8}, {'session_id': 47, 'average_speed': 4.4}, {'session_id': 47, 'average_speed': 5.5}]","Generate a list of average temperature and total rotations values for the current session of the diecutter 25, where each value is computed over 3 consecutive, non-overlapping time windows of 30 seconds.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 25
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    results = []
    for window in range(3):
        temperatures = []
        rotations = 0
        start_time = time.time()
        while time.time() - start_time < 30:
            current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
            temperatures.append(current_data['temperature'])
            rotations = current_data['rotations']
            time.sleep(1)
        end_time = time.time()
        
        average_temperature = sum(temperatures)/len(temperatures)
        results.append({
            'window': window + 1,
            'rotations': rotations,
            'average_temperature': average_temperature,
            'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
            'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time))
        })
    
    return results"
q2,1,"Produce a table showing the mean speeds for the present session of diecutter 7, with each mean calculated across 10 distinct, consecutive time intervals of 10 seconds each.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetCurrentSessionIdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
import time
import threading

def pipeline_function():
    diecutter_id = 7  # As specified in the query for diecutter 7
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # To store the mean speeds for each interval
    mean_speeds = []
    
    # Helper function to fetch speed data
    def fetch_speed_data(interval_index):
        # Collect data for 10 seconds
        speeds = []
        for _ in range(10):
            current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
            speeds.append(current_data['speed'])
            time.sleep(1)  # Wait for 1 second to get the next data point
        # Calculate mean speed for this interval
        mean_speed = sum(speeds) / len(speeds)
        mean_speeds.append({'interval': interval_index + 1, 'mean_speed': mean_speed})
    
    # Create threads for each 10-second interval
    threads = []
    for i in range(10):  # 10 distinct intervals
        thread = threading.Thread(target=fetch_speed_data, args=(i,))
        threads.append(thread)
        thread.start()
        time.sleep(10)  # Ensure consecutive intervals do not overlap
    
    # Wait for all threads to complete
    for thread in threads:
        thread.join()
    
    return mean_speeds","+----+------------+--------------+
|    |   interval |   mean_speed |
|----+------------+--------------|
|  0 |          1 |          5.7 |
|  1 |          2 |          4.4 |
|  2 |          3 |          6.1 |
|  3 |          4 |          5.6 |
|  4 |          5 |          4.1 |
|  5 |          6 |          4.7 |
|  6 |          7 |          3.9 |
|  7 |          8 |          3.5 |
|  8 |          9 |          4.2 |
|  9 |         10 |          4.8 |
+----+------------+--------------+","[{'interval': 1, 'mean_speed': 5.7}, {'interval': 2, 'mean_speed': 4.4}, {'interval': 3, 'mean_speed': 6.1}, {'interval': 4, 'mean_speed': 5.6}, {'interval': 5, 'mean_speed': 4.1}, {'interval': 6, 'mean_speed': 4.7}, {'interval': 7, 'mean_speed': 3.9}, {'interval': 8, 'mean_speed': 3.5}, {'interval': 9, 'mean_speed': 4.2}, {'interval': 10, 'mean_speed': 4.8}]","Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q2,2,"Produce a table showing average speed for diecutter 7 during the current session, calculated across ten sequential, non-overlapping intervals of 10 seconds each.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetCurrentSessionIdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
import time
import threading

def pipeline_function():
    diecutter_id = 7  # Specific diecutter ID as per the query
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # To store the average speeds
    average_speeds = []
    
    # Function to fetch speed data
    def fetch_speed_data(interval_index):
        # Sleep to ensure the interval timing
        time.sleep(interval_index * 10)
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        return current_data['speed']
    
    # Create threads for each 10-second interval
    threads = []
    speeds = [None] * 10  # List to hold speeds for each interval
    
    for i in range(10):
        thread = threading.Thread(target=lambda index: speeds.__setitem__(index, fetch_speed_data(index)), args=(i,))
        threads.append(thread)
        thread.start()
    
    # Wait for all threads to complete
    for thread in threads:
        thread.join()
    
    # Calculate average speed
    average_speed = sum(speeds) / len(speeds)
    average_speeds.append({'session_id': session_id, 'average_speed': average_speed})
    
    return average_speeds","+----+--------------+-----------------+
|    |   session_id |   average_speed |
|----+--------------+-----------------|
|  0 |           47 |             5.7 |
+----+--------------+-----------------+","[{'session_id': 47, 'average_speed': 5.7}]","Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q2,3,"Create a table of mean speed figures for the ongoing session of diecutter 7, each calculated over ten distinct, consecutive time intervals of 10 seconds.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import time
from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip

def pipeline_function():
    diecutter_id = 7  # Specific diecutter ID as per the query
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    results = []
    for interval in range(10):  # Ten distinct, consecutive time intervals
        time.sleep(10)  # Wait for 10 seconds between each data collection
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        results.append({
            ""interval"": interval + 1,
            ""mean_speed"": current_data[""speed""]
        })
    
    return results","+----+------------+--------------+
|    |   interval |   mean_speed |
|----+------------+--------------|
|  0 |          1 |            8 |
|  1 |          2 |            1 |
|  2 |          3 |            9 |
|  3 |          4 |            1 |
|  4 |          5 |            6 |
|  5 |          6 |            6 |
|  6 |          7 |            6 |
|  7 |          8 |            6 |
|  8 |          9 |            8 |
|  9 |         10 |            6 |
+----+------------+--------------+","[{'interval': 1, 'mean_speed': 8}, {'interval': 2, 'mean_speed': 1}, {'interval': 3, 'mean_speed': 9}, {'interval': 4, 'mean_speed': 1}, {'interval': 5, 'mean_speed': 6}, {'interval': 6, 'mean_speed': 6}, {'interval': 7, 'mean_speed': 6}, {'interval': 8, 'mean_speed': 6}, {'interval': 9, 'mean_speed': 8}, {'interval': 10, 'mean_speed': 6}]","Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q2,4,"Produce a table outlining the mean speed values for the ongoing session of diecutter 7, calculated over ten successive, distinct time intervals of 10 seconds each.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetCurrentSessionIdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
import time
import threading

def pipeline_function():
    diecutter_id = 7  # As specified, we are focusing on diecutter 7
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # We need to collect data over 10 successive intervals of 10 seconds each
    interval_duration = 10  # seconds
    num_intervals = 10
    mean_speeds = []

    def collect_data():
        for _ in range(num_intervals):
            start_time = time.time()
            current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
            mean_speeds.append({'session_id': session_id, 'mean_speed': current_data['speed']})
            time_to_sleep = interval_duration - (time.time() - start_time)
            if time_to_sleep > 0:
                time.sleep(time_to_sleep)

    data_thread = threading.Thread(target=collect_data)
    data_thread.start()
    data_thread.join()

    return mean_speeds","+----+--------------+--------------+
|    |   session_id |   mean_speed |
|----+--------------+--------------|
|  0 |           47 |            8 |
|  1 |           47 |            1 |
|  2 |           47 |            9 |
|  3 |           47 |            1 |
|  4 |           47 |            6 |
|  5 |           47 |            6 |
|  6 |           47 |            6 |
|  7 |           47 |            6 |
|  8 |           47 |            8 |
|  9 |           47 |            6 |
+----+--------------+--------------+","[{'session_id': 47, 'mean_speed': 8}, {'session_id': 47, 'mean_speed': 1}, {'session_id': 47, 'mean_speed': 9}, {'session_id': 47, 'mean_speed': 1}, {'session_id': 47, 'mean_speed': 6}, {'session_id': 47, 'mean_speed': 6}, {'session_id': 47, 'mean_speed': 6}, {'session_id': 47, 'mean_speed': 6}, {'session_id': 47, 'mean_speed': 8}, {'session_id': 47, 'mean_speed': 6}]","Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q2,5,"Create a table of mean speeds for the ongoing session of diecutter 7, calculated across 10 successive, distinct time intervals of 10 seconds each.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import time
from data_services.database import GetCurrentSessionIdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip

def pipeline_function():
    diecutter_id = 7
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    interval_duration = 10  # seconds
    num_intervals = 10
    mean_speeds = []
    
    for _ in range(num_intervals):
        start_time = time.time()
        speeds = []
        
        while time.time() - start_time < interval_duration:
            current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
            speeds.append(current_data['speed'])
            time.sleep(1)  # wait for the next second to get fresh data
        
        if speeds:
            mean_speed = sum(speeds) / len(speeds)
        else:
            mean_speed = 0
        
        mean_speeds.append({'interval': _, 'mean_speed': mean_speed})
    
    return mean_speeds","+----+------------+--------------+
|    |   interval |   mean_speed |
|----+------------+--------------|
|  0 |          0 |          5.7 |
|  1 |          1 |          4.3 |
|  2 |          2 |          6.1 |
|  3 |          3 |          4.8 |
|  4 |          4 |          5.1 |
|  5 |          5 |          4.6 |
|  6 |          6 |          4.2 |
|  7 |          7 |          3.8 |
|  8 |          8 |          4.4 |
|  9 |          9 |          5.5 |
+----+------------+--------------+","[{'interval': 0, 'mean_speed': 5.7}, {'interval': 1, 'mean_speed': 4.3}, {'interval': 2, 'mean_speed': 6.1}, {'interval': 3, 'mean_speed': 4.8}, {'interval': 4, 'mean_speed': 5.1}, {'interval': 5, 'mean_speed': 4.6}, {'interval': 6, 'mean_speed': 4.2}, {'interval': 7, 'mean_speed': 3.8}, {'interval': 8, 'mean_speed': 4.4}, {'interval': 9, 'mean_speed': 5.5}]","Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q2,6,"Produce a table showing the mean speeds for the active session of diecutter 7, calculated over ten sequential, distinct 10-second intervals.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import time
from data_services.database import GetCurrentSessionIdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip

def pipeline_function():
    diecutter_id = 7
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    results = []
    for _ in range(10):
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        results.append({
            ""session_id"": session_id,
            ""interval_speed"": current_data[""speed""]
        })
        time.sleep(10)  # Wait for the next 10-second interval
    
    return results","+----+--------------+------------------+
|    |   session_id |   interval_speed |
|----+--------------+------------------|
|  0 |           47 |                8 |
|  1 |           47 |                1 |
|  2 |           47 |                9 |
|  3 |           47 |                1 |
|  4 |           47 |                6 |
|  5 |           47 |                6 |
|  6 |           47 |                6 |
|  7 |           47 |                6 |
|  8 |           47 |                8 |
|  9 |           47 |                6 |
+----+--------------+------------------+","[{'session_id': 47, 'interval_speed': 8}, {'session_id': 47, 'interval_speed': 1}, {'session_id': 47, 'interval_speed': 9}, {'session_id': 47, 'interval_speed': 1}, {'session_id': 47, 'interval_speed': 6}, {'session_id': 47, 'interval_speed': 6}, {'session_id': 47, 'interval_speed': 6}, {'session_id': 47, 'interval_speed': 6}, {'session_id': 47, 'interval_speed': 8}, {'session_id': 47, 'interval_speed': 6}]","Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q2,7,"Produce a table of mean velocity for the ongoing session of diecutter 7, each mean computed across ten successive, distinct time intervals of ten seconds each.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetCurrentSessionIdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
import time
import threading

def pipeline_function():
    diecutter_id = 7  # Specific diecutter ID as per the query
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    def collect_data(interval_index):
        # Collect data at the start of each interval
        time.sleep(interval_index * 10)  # wait for the interval index * 10 seconds
        data = GetCurrentDataFromChip.call(chip_id=chip_id)
        return {""interval"": interval_index + 1, ""mean_velocity"": data[""speed""]}
    
    # Create threads for each 10-second interval
    threads = []
    results = []
    for i in range(10):
        thread = threading.Thread(target=lambda idx=i: results.append(collect_data(idx)))
        threads.append(thread)
        thread.start()
    
    # Wait for all threads to complete
    for thread in threads:
        thread.join()
    
    # Sort results by interval
    results.sort(key=lambda x: x[""interval""])
    return results","+----+------------+-----------------+
|    |   interval |   mean_velocity |
|----+------------+-----------------|
|  0 |          1 |               8 |
|  1 |          2 |               1 |
|  2 |          3 |               9 |
|  3 |          4 |               1 |
|  4 |          5 |               6 |
|  5 |          6 |               6 |
|  6 |          7 |               6 |
|  7 |          8 |               6 |
|  8 |          9 |               8 |
|  9 |         10 |               6 |
+----+------------+-----------------+","[{'interval': 1, 'mean_velocity': 8}, {'interval': 2, 'mean_velocity': 1}, {'interval': 3, 'mean_velocity': 9}, {'interval': 4, 'mean_velocity': 1}, {'interval': 5, 'mean_velocity': 6}, {'interval': 6, 'mean_velocity': 6}, {'interval': 7, 'mean_velocity': 6}, {'interval': 8, 'mean_velocity': 6}, {'interval': 9, 'mean_velocity': 8}, {'interval': 10, 'mean_velocity': 6}]","Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q2,8,"Produce a table of mean speed metrics for the ongoing session of diecutter 7, with each mean speed calculated across 10 successive, distinct 10-second intervals.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import time
from data_services.database import GetDiecutterChipIdFromDiecutterId, GetCurrentSessionIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip

def pipeline_function():
    diecutter_id = 7  # Specific diecutter ID as per the query
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Collect speed data over 10 successive 10-second intervals
    speed_data = []
    for _ in range(10):
        start_time = time.time()
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        speed_data.append(current_data['speed'])
        time_to_sleep = 10 - (time.time() - start_time)
        if time_to_sleep > 0:
            time.sleep(time_to_sleep)  # Ensure each interval is approximately 10 seconds
    
    # Calculate mean speed
    mean_speed = sum(speed_data) / len(speed_data)
    
    # Prepare the output as a list of dictionaries
    result = [{
        ""session_id"": session_id,
        ""mean_speed"": mean_speed
    }]
    
    return result","+----+--------------+--------------+
|    |   session_id |   mean_speed |
|----+--------------+--------------|
|  0 |           47 |          5.7 |
+----+--------------+--------------+","[{'session_id': 47, 'mean_speed': 5.7}]","Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q2,9,"Create a table of mean speed values for the ongoing session of diecutter 7, with each mean calculated across 10 distinct, successive 10-second intervals.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import time
from data_services.database import GetCurrentSessionIdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip

def pipeline_function():
    diecutter_id = 7  # Specific diecutter ID as per the query
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    mean_speeds = []
    for interval in range(10):  # 10 distinct, successive 10-second intervals
        time.sleep(10)  # Wait for the next 10-second interval
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        mean_speeds.append({
            'session_id': session_id,
            'interval': interval + 1,
            'mean_speed': current_data['speed']
        })
    
    return mean_speeds","+----+--------------+------------+--------------+
|    |   session_id |   interval |   mean_speed |
|----+--------------+------------+--------------|
|  0 |           47 |          1 |            8 |
|  1 |           47 |          2 |            1 |
|  2 |           47 |          3 |            9 |
|  3 |           47 |          4 |            1 |
|  4 |           47 |          5 |            6 |
|  5 |           47 |          6 |            6 |
|  6 |           47 |          7 |            6 |
|  7 |           47 |          8 |            6 |
|  8 |           47 |          9 |            8 |
|  9 |           47 |         10 |            6 |
+----+--------------+------------+--------------+","[{'session_id': 47, 'interval': 1, 'mean_speed': 8}, {'session_id': 47, 'interval': 2, 'mean_speed': 1}, {'session_id': 47, 'interval': 3, 'mean_speed': 9}, {'session_id': 47, 'interval': 4, 'mean_speed': 1}, {'session_id': 47, 'interval': 5, 'mean_speed': 6}, {'session_id': 47, 'interval': 6, 'mean_speed': 6}, {'session_id': 47, 'interval': 7, 'mean_speed': 6}, {'session_id': 47, 'interval': 8, 'mean_speed': 6}, {'session_id': 47, 'interval': 9, 'mean_speed': 8}, {'session_id': 47, 'interval': 10, 'mean_speed': 6}]","Consider the diecutter with id 6, generate a table containing the average temperature computed over a time span of 1 minute.","from data_services.diecutter import GetCurrentDataFromChip
from data_services.database import GetDiecutterChipIdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 6
    
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
        
    temperatures = []
    start_time = time.time()
    end_time = start_time + 60
    while time.time() <= end_time:
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        temperatures.append(current_data[""temperature""])
        time.sleep(1)
    average_temperature = sum(temperatures)/len(temperatures)
    results = {
        'start_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(start_time)),
        'end_timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(end_time)),
        'average_temperature': average_temperature
    }
    return [results]"
q3,0,Consider the next 30 cardboard of the diecutter with id 7. Generate a table containing (i) the number of cardboards with no defects and (ii) those with errors.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import time
from data_services.camera1 import GetFrameFromCamera1, DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 7
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    num_no_defects = 0
    num_with_errors = 0
    
    for _ in range(30):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        contains_errors, error_type = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        
        if contains_errors:
            num_with_errors += 1
        else:
            num_no_defects += 1
        
        time.sleep(1)  # Ensure we get a new frame in the next iteration
    
    result = [{
        ""number_of_cardboards_with_no_defects"": num_no_defects,
        ""number_of_cardboards_with_errors"": num_with_errors
    }]
    
    return result","+----+----------------------------------------+------------------------------------+
|    |   number_of_cardboards_with_no_defects |   number_of_cardboards_with_errors |
|----+----------------------------------------+------------------------------------|
|  0 |                                     17 |                                 13 |
+----+----------------------------------------+------------------------------------+","[{'number_of_cardboards_with_no_defects': 17, 'number_of_cardboards_with_errors': 13}]","Consider the next 5 carboard of the first diecutter. Generate a table containing: (i) the number of cardboards with no defects, (ii) those with errors, (iii) how many fold errors, and (iv) how many hole errors.","from data_services.camera1 import GetFrameFromCamera1
from data_services.camera1 import DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 1
    num_cardboards = 5
    no_defects_count = 0
    with_errors_count = 0
    hole_errors_count = 0
    fold_errors_count = 0
    
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    for _ in range(num_cardboards):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        has_error, type_error = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        if has_error:
            if type_error == 1:
                hole_errors_count += 1
            elif type_error == 2:
                fold_errors_count += 1
            with_errors_count += 1
        else:
            no_defects_count += 1
    
    results = [{
        'no_defects_count': no_defects_count,
        'with_errors_count': with_errors_count,
        'hole_errors_count': hole_errors_count,
        'fold_errors_count': fold_errors_count
    }]
    return results"
q3,1,"For the upcoming 30 cardboards processed by diecutter with id 7, compile a table listing (i) the count of defect-free cardboards and (ii) the count of cardboards containing defects.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import time
from data_services.camera1 import GetFrameFromCamera1, DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 7
    num_cardboards = 30
    defect_free_count = 0
    defect_count = 0
    
    # Get the camera1 ID associated with the diecutter
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    for _ in range(num_cardboards):
        # Capture a frame from the camera
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        
        # Detect errors in the captured frame
        contains_errors, error_type = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        
        if contains_errors:
            defect_count += 1
        else:
            defect_free_count += 1
        
        # Wait for 1 second to get the next frame
        time.sleep(1)
    
    # Compile the results into a list of dictionaries
    result = [
        {
            ""count_defect_free_cardboards"": defect_free_count,
            ""count_defect_cardboards"": defect_count
        }
    ]
    
    return result","+----+--------------------------------+---------------------------+
|    |   count_defect_free_cardboards |   count_defect_cardboards |
|----+--------------------------------+---------------------------|
|  0 |                             17 |                        13 |
+----+--------------------------------+---------------------------+","[{'count_defect_free_cardboards': 17, 'count_defect_cardboards': 13}]","Consider the next 5 carboard of the first diecutter. Generate a table containing: (i) the number of cardboards with no defects, (ii) those with errors, (iii) how many fold errors, and (iv) how many hole errors.","from data_services.camera1 import GetFrameFromCamera1
from data_services.camera1 import DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 1
    num_cardboards = 5
    no_defects_count = 0
    with_errors_count = 0
    hole_errors_count = 0
    fold_errors_count = 0
    
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    for _ in range(num_cardboards):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        has_error, type_error = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        if has_error:
            if type_error == 1:
                hole_errors_count += 1
            elif type_error == 2:
                fold_errors_count += 1
            with_errors_count += 1
        else:
            no_defects_count += 1
    
    results = [{
        'no_defects_count': no_defects_count,
        'with_errors_count': with_errors_count,
        'hole_errors_count': hole_errors_count,
        'fold_errors_count': fold_errors_count
    }]
    return results"
q3,2,Consider the upcoming 30 cardboard processed by diecutter with id 7. Construct a table displaying (i) the count of defect-free cardboards and (ii) the count of cardboards with defects.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import numpy as np
import time
from data_services.camera1 import GetFrameFromCamera1, DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 7
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    defect_free_count = 0
    defect_count = 0
    
    for _ in range(30):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        contains_errors, error_type = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        
        if contains_errors:
            defect_count += 1
        else:
            defect_free_count += 1
        
        time.sleep(1)  # Wait for the next frame update
    
    result = [{
        ""count_defect_free_cardboards"": defect_free_count,
        ""count_cardboards_with_defects"": defect_count
    }]
    
    return result","+----+--------------------------------+---------------------------------+
|    |   count_defect_free_cardboards |   count_cardboards_with_defects |
|----+--------------------------------+---------------------------------|
|  0 |                             17 |                              13 |
+----+--------------------------------+---------------------------------+","[{'count_defect_free_cardboards': 17, 'count_cardboards_with_defects': 13}]","Consider the next 5 carboard of the first diecutter. Generate a table containing: (i) the number of cardboards with no defects, (ii) those with errors, (iii) how many fold errors, and (iv) how many hole errors.","from data_services.camera1 import GetFrameFromCamera1
from data_services.camera1 import DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 1
    num_cardboards = 5
    no_defects_count = 0
    with_errors_count = 0
    hole_errors_count = 0
    fold_errors_count = 0
    
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    for _ in range(num_cardboards):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        has_error, type_error = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        if has_error:
            if type_error == 1:
                hole_errors_count += 1
            elif type_error == 2:
                fold_errors_count += 1
            with_errors_count += 1
        else:
            no_defects_count += 1
    
    results = [{
        'no_defects_count': no_defects_count,
        'with_errors_count': with_errors_count,
        'hole_errors_count': hole_errors_count,
        'fold_errors_count': fold_errors_count
    }]
    return results"
q3,3,"For the upcoming 30 cardboards processed by the diecutter with id 7, produce a table listing (i) the count of defect-free cardboards and (ii) the count of defective cardboards.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import time
from data_services.camera1 import GetFrameFromCamera1, DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 7
    num_cardboards = 30
    defect_free_count = 0
    defective_count = 0
    
    # Get the camera1 ID associated with the diecutter
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    for _ in range(num_cardboards):
        # Capture a frame from the camera
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        
        # Detect errors in the captured cardboard frame
        contains_errors, _ = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        
        if contains_errors:
            defective_count += 1
        else:
            defect_free_count += 1
        
        # Wait for 1 second to get the next frame
        time.sleep(1)
    
    # Prepare the result as a list of dictionaries
    result = [
        {
            ""count_of_defect_free_cardboards"": defect_free_count,
            ""count_of_defective_cardboards"": defective_count
        }
    ]
    
    return result","+----+-----------------------------------+---------------------------------+
|    |   count_of_defect_free_cardboards |   count_of_defective_cardboards |
|----+-----------------------------------+---------------------------------|
|  0 |                                17 |                              13 |
+----+-----------------------------------+---------------------------------+","[{'count_of_defect_free_cardboards': 17, 'count_of_defective_cardboards': 13}]","Consider the next 5 carboard of the first diecutter. Generate a table containing: (i) the number of cardboards with no defects, (ii) those with errors, (iii) how many fold errors, and (iv) how many hole errors.","from data_services.camera1 import GetFrameFromCamera1
from data_services.camera1 import DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 1
    num_cardboards = 5
    no_defects_count = 0
    with_errors_count = 0
    hole_errors_count = 0
    fold_errors_count = 0
    
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    for _ in range(num_cardboards):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        has_error, type_error = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        if has_error:
            if type_error == 1:
                hole_errors_count += 1
            elif type_error == 2:
                fold_errors_count += 1
            with_errors_count += 1
        else:
            no_defects_count += 1
    
    results = [{
        'no_defects_count': no_defects_count,
        'with_errors_count': with_errors_count,
        'hole_errors_count': hole_errors_count,
        'fold_errors_count': fold_errors_count
    }]
    return results"
q3,4,Assess the upcoming 30 cardboards processed by diecutter id 7. Create a table displaying (i) the count of defect-free cardboards and (ii) the count of cardboards with defects.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import time
from data_services.camera1 import GetFrameFromCamera1, DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 7
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    defect_free_count = 0
    defect_count = 0
    
    for _ in range(30):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        contains_errors, error_type = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        
        if contains_errors:
            defect_count += 1
        else:
            defect_free_count += 1
        
        # Wait for 1 second to get the next frame
        time.sleep(1)
    
    result = [
        {
            ""count_defect_free_cardboards"": defect_free_count,
            ""count_cardboards_with_defects"": defect_count
        }
    ]
    
    return result","+----+--------------------------------+---------------------------------+
|    |   count_defect_free_cardboards |   count_cardboards_with_defects |
|----+--------------------------------+---------------------------------|
|  0 |                             17 |                              13 |
+----+--------------------------------+---------------------------------+","[{'count_defect_free_cardboards': 17, 'count_cardboards_with_defects': 13}]","Consider the next 5 carboard of the first diecutter. Generate a table containing: (i) the number of cardboards with no defects, (ii) those with errors, (iii) how many fold errors, and (iv) how many hole errors.","from data_services.camera1 import GetFrameFromCamera1
from data_services.camera1 import DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 1
    num_cardboards = 5
    no_defects_count = 0
    with_errors_count = 0
    hole_errors_count = 0
    fold_errors_count = 0
    
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    for _ in range(num_cardboards):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        has_error, type_error = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        if has_error:
            if type_error == 1:
                hole_errors_count += 1
            elif type_error == 2:
                fold_errors_count += 1
            with_errors_count += 1
        else:
            no_defects_count += 1
    
    results = [{
        'no_defects_count': no_defects_count,
        'with_errors_count': with_errors_count,
        'hole_errors_count': hole_errors_count,
        'fold_errors_count': fold_errors_count
    }]
    return results"
q3,5,Examine the upcoming 30 units of cardboard processed by the diecutter assigned id 7. Construct a table detailing (i) the count of defect-free cardboards and (ii) the number exhibiting defects.,"brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.camera1 import GetFrameFromCamera1, DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 7
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    defect_free_count = 0
    defects_count = 0
    
    for _ in range(30):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        contains_errors, error_type = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        
        if contains_errors:
            defects_count += 1
        else:
            defect_free_count += 1
        
        time.sleep(1)  # Ensure that we are getting a new frame each second
    
    result = [
        {
            ""count_defect_free_cardboards"": defect_free_count,
            ""count_defective_cardboards"": defects_count
        }
    ]
    
    return result","+----+--------------------------------+------------------------------+
|    |   count_defect_free_cardboards |   count_defective_cardboards |
|----+--------------------------------+------------------------------|
|  0 |                             17 |                           13 |
+----+--------------------------------+------------------------------+","[{'count_defect_free_cardboards': 17, 'count_defective_cardboards': 13}]","Consider the next 5 carboard of the first diecutter. Generate a table containing: (i) the number of cardboards with no defects, (ii) those with errors, (iii) how many fold errors, and (iv) how many hole errors.","from data_services.camera1 import GetFrameFromCamera1
from data_services.camera1 import DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 1
    num_cardboards = 5
    no_defects_count = 0
    with_errors_count = 0
    hole_errors_count = 0
    fold_errors_count = 0
    
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    for _ in range(num_cardboards):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        has_error, type_error = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        if has_error:
            if type_error == 1:
                hole_errors_count += 1
            elif type_error == 2:
                fold_errors_count += 1
            with_errors_count += 1
        else:
            no_defects_count += 1
    
    results = [{
        'no_defects_count': no_defects_count,
        'with_errors_count': with_errors_count,
        'hole_errors_count': hole_errors_count,
        'fold_errors_count': fold_errors_count
    }]
    return results"
q3,6,"Generate a table for the forthcoming 30 cardboard units processed by diecutter number 7, detailing (i) the count of defect-free cardboards and (ii) the count of cardboards with defects.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import numpy as np
from data_services.camera1 import GetFrameFromCamera1, DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId
import time
import threading

def pipeline_function():
    diecutter_id = 7
    num_cardboards = 30
    defect_free_count = 0
    defect_count = 0
    
    # Get the camera1 ID for the specified diecutter
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Function to process each cardboard
    def process_cardboard():
        nonlocal defect_free_count, defect_count
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        contains_errors, error_type = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        if contains_errors:
            defect_count += 1
        else:
            defect_free_count += 1
    
    # Create threads for each cardboard processing to simulate real-time processing
    threads = []
    for _ in range(num_cardboards):
        thread = threading.Thread(target=process_cardboard)
        threads.append(thread)
        thread.start()
        time.sleep(1)  # Ensure frames are captured at different times (1-second refresh rate)
    
    # Wait for all threads to complete
    for thread in threads:
        thread.join()
    
    # Prepare the result
    result = [
        {
            ""defect_free_count"": defect_free_count,
            ""defect_count"": defect_count
        }
    ]
    return result","+----+---------------------+----------------+
|    |   defect_free_count |   defect_count |
|----+---------------------+----------------|
|  0 |                  17 |             13 |
+----+---------------------+----------------+","[{'defect_free_count': 17, 'defect_count': 13}]","Consider the next 5 carboard of the first diecutter. Generate a table containing: (i) the number of cardboards with no defects, (ii) those with errors, (iii) how many fold errors, and (iv) how many hole errors.","from data_services.camera1 import GetFrameFromCamera1
from data_services.camera1 import DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 1
    num_cardboards = 5
    no_defects_count = 0
    with_errors_count = 0
    hole_errors_count = 0
    fold_errors_count = 0
    
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    for _ in range(num_cardboards):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        has_error, type_error = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        if has_error:
            if type_error == 1:
                hole_errors_count += 1
            elif type_error == 2:
                fold_errors_count += 1
            with_errors_count += 1
        else:
            no_defects_count += 1
    
    results = [{
        'no_defects_count': no_defects_count,
        'with_errors_count': with_errors_count,
        'hole_errors_count': hole_errors_count,
        'fold_errors_count': fold_errors_count
    }]
    return results"
q3,7,"For the upcoming 30 cardboard units processed by diecutter with ID 7, produce a table showing (i) the count of defect-free cardboards and (ii) the count of cardboards that contain defects.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import numpy as np
from data_services.camera1 import GetFrameFromCamera1, DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId
import time

def pipeline_function():
    diecutter_id = 7
    num_cardboards = 30
    defect_free_count = 0
    defect_count = 0
    
    # Get the camera1 ID associated with the diecutter
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    for _ in range(num_cardboards):
        # Capture a frame from the camera
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        
        # Detect errors in the captured cardboard
        contains_errors, error_type = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        
        if contains_errors:
            defect_count += 1
        else:
            defect_free_count += 1
        
        # Wait for 1 second to get the next frame
        time.sleep(1)
    
    # Prepare the result
    result = [
        {
            ""count_defect_free_cardboards"": defect_free_count,
            ""count_defective_cardboards"": defect_count
        }
    ]
    
    return result","+----+--------------------------------+------------------------------+
|    |   count_defect_free_cardboards |   count_defective_cardboards |
|----+--------------------------------+------------------------------|
|  0 |                             17 |                           13 |
+----+--------------------------------+------------------------------+","[{'count_defect_free_cardboards': 17, 'count_defective_cardboards': 13}]","Consider the next 5 carboard of the first diecutter. Generate a table containing: (i) the number of cardboards with no defects, (ii) those with errors, (iii) how many fold errors, and (iv) how many hole errors.","from data_services.camera1 import GetFrameFromCamera1
from data_services.camera1 import DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 1
    num_cardboards = 5
    no_defects_count = 0
    with_errors_count = 0
    hole_errors_count = 0
    fold_errors_count = 0
    
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    for _ in range(num_cardboards):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        has_error, type_error = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        if has_error:
            if type_error == 1:
                hole_errors_count += 1
            elif type_error == 2:
                fold_errors_count += 1
            with_errors_count += 1
        else:
            no_defects_count += 1
    
    results = [{
        'no_defects_count': no_defects_count,
        'with_errors_count': with_errors_count,
        'hole_errors_count': hole_errors_count,
        'fold_errors_count': fold_errors_count
    }]
    return results"
q3,8,"For the forthcoming 30 cardboard units processed by the diecutter, identified by id 7, construct a table displaying the count of defect-free cardboards and the number with defects.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import time
from data_services.camera1 import GetFrameFromCamera1, DetectErrorsInCardboardUsingCamera1
from data_services.database import GetSerialCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 7
    camera1_id = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    defect_free_count = 0
    defect_count = 0
    
    for _ in range(30):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        contains_errors, error_type = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        
        if contains_errors:
            defect_count += 1
        else:
            defect_free_count += 1
        
        # Wait for 1 second to get the next frame
        time.sleep(1)
    
    result = [{
        ""defect_free_count"": defect_free_count,
        ""defect_count"": defect_count
    }]
    
    return result","+----+---------------------+----------------+
|    |   defect_free_count |   defect_count |
|----+---------------------+----------------|
|  0 |                  17 |             13 |
+----+---------------------+----------------+","[{'defect_free_count': 17, 'defect_count': 13}]","Consider the next 5 carboard of the first diecutter. Generate a table containing: (i) the number of cardboards with no defects, (ii) those with errors, (iii) how many fold errors, and (iv) how many hole errors.","from data_services.camera1 import GetFrameFromCamera1
from data_services.camera1 import DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 1
    num_cardboards = 5
    no_defects_count = 0
    with_errors_count = 0
    hole_errors_count = 0
    fold_errors_count = 0
    
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    for _ in range(num_cardboards):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        has_error, type_error = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        if has_error:
            if type_error == 1:
                hole_errors_count += 1
            elif type_error == 2:
                fold_errors_count += 1
            with_errors_count += 1
        else:
            no_defects_count += 1
    
    results = [{
        'no_defects_count': no_defects_count,
        'with_errors_count': with_errors_count,
        'hole_errors_count': hole_errors_count,
        'fold_errors_count': fold_errors_count
    }]
    return results"
q3,9,"Please provide a table for the upcoming 30 cardboard pieces processed by the diecutter with ID 7, detailing (i) how many cardboard pieces are defect-free and (ii) how many contain defects.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import numpy as np
import time
from data_services.camera1 import GetFrameFromCamera1, DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 7
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    defect_free_count = 0
    defect_count = 0
    
    for _ in range(30):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        contains_errors, _ = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        
        if contains_errors:
            defect_count += 1
        else:
            defect_free_count += 1
        
        time.sleep(1)  # Ensure we get a new frame in the next iteration
    
    result = [{
        ""defect_free_count"": defect_free_count,
        ""defect_count"": defect_count
    }]
    
    return result","+----+---------------------+----------------+
|    |   defect_free_count |   defect_count |
|----+---------------------+----------------|
|  0 |                  17 |             13 |
+----+---------------------+----------------+","[{'defect_free_count': 17, 'defect_count': 13}]","Consider the next 5 carboard of the first diecutter. Generate a table containing: (i) the number of cardboards with no defects, (ii) those with errors, (iii) how many fold errors, and (iv) how many hole errors.","from data_services.camera1 import GetFrameFromCamera1
from data_services.camera1 import DetectErrorsInCardboardUsingCamera1
from data_services.database import GetCamera1IdFromDiecutterId

def pipeline_function():
    diecutter_id = 1
    num_cardboards = 5
    no_defects_count = 0
    with_errors_count = 0
    hole_errors_count = 0
    fold_errors_count = 0
    
    camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    for _ in range(num_cardboards):
        frame = GetFrameFromCamera1.call(camera1_id=camera1_id)
        has_error, type_error = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame)
        if has_error:
            if type_error == 1:
                hole_errors_count += 1
            elif type_error == 2:
                fold_errors_count += 1
            with_errors_count += 1
        else:
            no_defects_count += 1
    
    results = [{
        'no_defects_count': no_defects_count,
        'with_errors_count': with_errors_count,
        'hole_errors_count': hole_errors_count,
        'fold_errors_count': fold_errors_count
    }]
    return results"
q4,0,"Compute a table that gives some information about the current session of diecutter 14. For each stack produced, the table should tell me (i) if the stack contains errors, (ii) if it contains errors, the type of error, (iii) the current speed of the diecutter, and (iii) the current temperature of the diecutter. The table should contain data for the next 10 stacks.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecutterChipIdFromDiecutterId, GetCurrentDataFromChip
from data_services.camera2 import GetFrameFromCamera2, DetectErrorsInCardboardStackUsingCamera2
import time
import threading

def pipeline_function():
    diecutter_id = 14
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
    
    current_speed = current_data[""speed""]
    current_temperature = current_data[""temperature""]
    
    results = []
    
    def process_stack(camera2_id):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        contains_errors = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        stack_info = {
            ""contains_errors"": contains_errors,
            ""current_speed"": current_speed,
            ""current_temperature"": current_temperature
        }
        results.append(stack_info)
    
    camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    threads = []
    for _ in range(10):
        thread = threading.Thread(target=process_stack, args=(camera2_id,))
        threads.append(thread)
        thread.start()
        time.sleep(1)  # Ensure each frame is captured at different times (1-second apart)
    
    for thread in threads:
        thread.join()
    
    return results",The pipeline did not run successfully,"[{'defect_free_count': 17, 'defect_count': 13}]","Compute a table that gives some information about the current session of diecutter 14. For each erroneous stack produced, the table should tell me (i) the type of error, (ii) the current session of the diecutter, (iii) the current speed of the diecutter, (iii) the current temperature of the diecutter and (iv) the total number of rotations until now. The table should contain data for the next 30 stacks.","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.database import GetCamera2IdFromDiecutterId
from data_services.database import GetCurrentSessionIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
from data_services.camera2 import GetFrameFromCamera2
from data_services.camera2 import DetectErrorsInCardboardStackUsingCamera2
import threading
import time

def pipeline_function():
    diecutter_id = 14
    n_stacks = 30

    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)

    def check_error(camera2_id, frame, card_errors_res):
        has_error, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        card_errors_res['has_error'] = has_error
        card_errors_res['error_type'] = error_type
    
    def retrieve_diecutter_data(chip_id, diecutter_info_res):
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        diecutter_info_res.update(current_data)

    results = []
    for _ in range(n_stacks):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        timestamp = time.time()
        card_errors_res = {}
        card_errors = threading.Thread(target=check_error, args=(camera2_id, frame, card_errors_res))
        diecutter_info_res = {}
        diecutter_info = threading.Thread(target=retrieve_diecutter_data, args=(chip_id, diecutter_info_res))
        card_errors.start()
        diecutter_info.start()
        card_errors.join()
        diecutter_info.join()
        if card_errors_res['has_error']:
            result_row = {
                'timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(timestamp)),
                'session_id': session_id,
                'error_type': card_errors_res['error_type'],
                'speed': diecutter_info_res['speed'],
                'temperature': diecutter_info_res['temperature'],
                'rotations': diecutter_info_res['rotations']
            }
            results.append(result_row)

    return results
"
q4,1,"Generate a table displaying details concerning the current operation of diecutter 14. For each of the next 10 stacks produced, the table should include (i) whether the stack has errors, (ii) the error type if applicable, (iii) the running speed of the diecutter, and (iv) the current temperature of the diecutter.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import time
from data_services.camera2 import GetFrameFromCamera2, DetectErrorsInCardboardStackUsingCamera2
from data_services.database import GetSerialCamera2IdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip

def pipeline_function(diecutter_id):
    # Get the camera2 serial ID for the specified diecutter
    camera2_id = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Get the chip ID for the specified diecutter
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Prepare to collect data for the next 10 stacks
    results = []
    for _ in range(10):
        # Capture a frame from camera2
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        
        # Detect errors in the captured stack
        contains_errors, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        
        # Get current data from the chip
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        
        # Prepare the dictionary for this stack
        result = {
            ""has_errors"": contains_errors,
            ""error_type"": error_type,
            ""running_speed"": current_data[""speed""],
            ""current_temperature"": current_data[""temperature""]
        }
        results.append(result)
        
        # Wait for 1 second to get the next stack
        time.sleep(1)
    
    return results",The pipeline did not run successfully,"[{'defect_free_count': 17, 'defect_count': 13}]","Compute a table that gives some information about the current session of diecutter 14. For each erroneous stack produced, the table should tell me (i) the type of error, (ii) the current session of the diecutter, (iii) the current speed of the diecutter, (iii) the current temperature of the diecutter and (iv) the total number of rotations until now. The table should contain data for the next 30 stacks.","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.database import GetCamera2IdFromDiecutterId
from data_services.database import GetCurrentSessionIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
from data_services.camera2 import GetFrameFromCamera2
from data_services.camera2 import DetectErrorsInCardboardStackUsingCamera2
import threading
import time

def pipeline_function():
    diecutter_id = 14
    n_stacks = 30

    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)

    def check_error(camera2_id, frame, card_errors_res):
        has_error, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        card_errors_res['has_error'] = has_error
        card_errors_res['error_type'] = error_type
    
    def retrieve_diecutter_data(chip_id, diecutter_info_res):
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        diecutter_info_res.update(current_data)

    results = []
    for _ in range(n_stacks):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        timestamp = time.time()
        card_errors_res = {}
        card_errors = threading.Thread(target=check_error, args=(camera2_id, frame, card_errors_res))
        diecutter_info_res = {}
        diecutter_info = threading.Thread(target=retrieve_diecutter_data, args=(chip_id, diecutter_info_res))
        card_errors.start()
        diecutter_info.start()
        card_errors.join()
        diecutter_info.join()
        if card_errors_res['has_error']:
            result_row = {
                'timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(timestamp)),
                'session_id': session_id,
                'error_type': card_errors_res['error_type'],
                'speed': diecutter_info_res['speed'],
                'temperature': diecutter_info_res['temperature'],
                'rotations': diecutter_info_res['rotations']
            }
            results.append(result_row)

    return results
"
q4,2,"Generate a table displaying details for the upcoming ten stacks from diecutter 14, including (i) presence of errors in each stack, (ii) types of errors if any exist, (iii) current operational speed of diecutter 14, and (iv) current operating temperature of diecutter 14.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetSerialCamera2IdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.camera2 import GetFrameFromCamera2, DetectErrorsInCardboardStackUsingCamera2
from data_services.diecutter import GetCurrentDataFromChip
import threading

def pipeline_function():
    diecutter_id = 14
    serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
    
    def get_stack_details(index):
        frame = GetFrameFromCamera2.call(camera2_id=serial_camera2)
        contains_errors = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=serial_camera2, frame=frame)
        return {
            ""stack_index"": index,
            ""presence_of_errors"": contains_errors,
            ""current_operational_speed"": current_data[""speed""],
            ""current_operating_temperature"": current_data[""temperature""]
        }
    
    threads = []
    results = []
    
    for i in range(10):
        thread = threading.Thread(target=lambda idx=i: results.append(get_stack_details(idx)))
        threads.append(thread)
        thread.start()
    
    for thread in threads:
        thread.join()
    
    return results","+----+---------------+----------------------+-----------------------------+---------------------------------+
|    |   stack_index | presence_of_errors   |   current_operational_speed |   current_operating_temperature |
|----+---------------+----------------------+-----------------------------+---------------------------------|
|  0 |             1 | [False, 0]           |                           9 |                               0 |
|  1 |             9 | [False, 0]           |                           9 |                               0 |
|  2 |             4 | [False, 0]           |                           9 |                               0 |
|  3 |             8 | [False, 0]           |                           9 |                               0 |
|  4 |             2 | [True, 1]            |                           9 |                               0 |
|  5 |             3 | [False, 0]           |                           9 |                               0 |
|  6 |             5 | [False, 0]           |                           9 |                               0 |
|  7 |             0 | [True, 2]            |                           9 |                               0 |
|  8 |             6 | [True, 1]            |                           9 |                               0 |
|  9 |             7 | [True, 2]            |                           9 |                               0 |
+----+---------------+----------------------+-----------------------------+---------------------------------+","[{'stack_index': 1, 'presence_of_errors': [False, 0], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 9, 'presence_of_errors': [False, 0], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 4, 'presence_of_errors': [False, 0], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 8, 'presence_of_errors': [False, 0], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 2, 'presence_of_errors': [True, 1], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 3, 'presence_of_errors': [False, 0], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 5, 'presence_of_errors': [False, 0], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 0, 'presence_of_errors': [True, 2], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 6, 'presence_of_errors': [True, 1], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 7, 'presence_of_errors': [True, 2], 'current_operational_speed': 9, 'current_operating_temperature': 0}]","Compute a table that gives some information about the current session of diecutter 14. For each erroneous stack produced, the table should tell me (i) the type of error, (ii) the current session of the diecutter, (iii) the current speed of the diecutter, (iii) the current temperature of the diecutter and (iv) the total number of rotations until now. The table should contain data for the next 30 stacks.","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.database import GetCamera2IdFromDiecutterId
from data_services.database import GetCurrentSessionIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
from data_services.camera2 import GetFrameFromCamera2
from data_services.camera2 import DetectErrorsInCardboardStackUsingCamera2
import threading
import time

def pipeline_function():
    diecutter_id = 14
    n_stacks = 30

    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)

    def check_error(camera2_id, frame, card_errors_res):
        has_error, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        card_errors_res['has_error'] = has_error
        card_errors_res['error_type'] = error_type
    
    def retrieve_diecutter_data(chip_id, diecutter_info_res):
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        diecutter_info_res.update(current_data)

    results = []
    for _ in range(n_stacks):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        timestamp = time.time()
        card_errors_res = {}
        card_errors = threading.Thread(target=check_error, args=(camera2_id, frame, card_errors_res))
        diecutter_info_res = {}
        diecutter_info = threading.Thread(target=retrieve_diecutter_data, args=(chip_id, diecutter_info_res))
        card_errors.start()
        diecutter_info.start()
        card_errors.join()
        diecutter_info.join()
        if card_errors_res['has_error']:
            result_row = {
                'timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(timestamp)),
                'session_id': session_id,
                'error_type': card_errors_res['error_type'],
                'speed': diecutter_info_res['speed'],
                'temperature': diecutter_info_res['temperature'],
                'rotations': diecutter_info_res['rotations']
            }
            results.append(result_row)

    return results
"
q4,3,"Create a table detailing key aspects of the current operating session for diecutter 14. For each of the next 10 stacks processed, the table should include: (i) presence of any errors in the stack, (ii) the specific type of error if present, (iii) the operational speed of the diecutter at the time, and (iv) the diecutters temperature during production.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetCamera2IdFromDiecutterId, GetCurrentSessionIdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.camera2 import GetFrameFromCamera2, DetectErrorsInCardboardStackUsingCamera2
from data_services.diecutter import GetCurrentDataFromChip
import threading

def pipeline_function(diecutter_id):
    # Retrieve the camera2 ID and chip ID for the specified diecutter
    camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Retrieve operational data from the chip
    operational_data = GetCurrentDataFromChip.call(chip_id=chip_id)
    
    # Function to capture and analyze a frame for errors
    def capture_and_analyze(stack_index):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        contains_errors = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        return {
            ""stack_index"": stack_index,
            ""presence_of_errors"": contains_errors,
            ""operational_speed"": operational_data[""speed""],
            ""temperature"": operational_data[""temperature""]
        }
    
    # Use threading to handle multiple stacks processing
    threads = []
    results = [None] * 10  # Prepare a list to store results for 10 stacks
    
    for i in range(10):
        thread = threading.Thread(target=lambda idx: results.__setitem__(idx, capture_and_analyze(idx)), args=(i,))
        threads.append(thread)
        thread.start()
    
    # Wait for all threads to complete
    for thread in threads:
        thread.join()
    
    return results",The pipeline did not run successfully,"[{'stack_index': 1, 'presence_of_errors': [False, 0], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 9, 'presence_of_errors': [False, 0], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 4, 'presence_of_errors': [False, 0], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 8, 'presence_of_errors': [False, 0], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 2, 'presence_of_errors': [True, 1], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 3, 'presence_of_errors': [False, 0], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 5, 'presence_of_errors': [False, 0], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 0, 'presence_of_errors': [True, 2], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 6, 'presence_of_errors': [True, 1], 'current_operational_speed': 9, 'current_operating_temperature': 0}, {'stack_index': 7, 'presence_of_errors': [True, 2], 'current_operational_speed': 9, 'current_operating_temperature': 0}]","Compute a table that gives some information about the current session of diecutter 14. For each erroneous stack produced, the table should tell me (i) the type of error, (ii) the current session of the diecutter, (iii) the current speed of the diecutter, (iii) the current temperature of the diecutter and (iv) the total number of rotations until now. The table should contain data for the next 30 stacks.","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.database import GetCamera2IdFromDiecutterId
from data_services.database import GetCurrentSessionIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
from data_services.camera2 import GetFrameFromCamera2
from data_services.camera2 import DetectErrorsInCardboardStackUsingCamera2
import threading
import time

def pipeline_function():
    diecutter_id = 14
    n_stacks = 30

    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)

    def check_error(camera2_id, frame, card_errors_res):
        has_error, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        card_errors_res['has_error'] = has_error
        card_errors_res['error_type'] = error_type
    
    def retrieve_diecutter_data(chip_id, diecutter_info_res):
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        diecutter_info_res.update(current_data)

    results = []
    for _ in range(n_stacks):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        timestamp = time.time()
        card_errors_res = {}
        card_errors = threading.Thread(target=check_error, args=(camera2_id, frame, card_errors_res))
        diecutter_info_res = {}
        diecutter_info = threading.Thread(target=retrieve_diecutter_data, args=(chip_id, diecutter_info_res))
        card_errors.start()
        diecutter_info.start()
        card_errors.join()
        diecutter_info.join()
        if card_errors_res['has_error']:
            result_row = {
                'timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(timestamp)),
                'session_id': session_id,
                'error_type': card_errors_res['error_type'],
                'speed': diecutter_info_res['speed'],
                'temperature': diecutter_info_res['temperature'],
                'rotations': diecutter_info_res['rotations']
            }
            results.append(result_row)

    return results
"
q4,4,"Generate a table detailing specifics for the ongoing session of diecutter 14, including the following for the upcoming ten stacks: (i) presence of errors in each stack, (ii) error type if applicable, (iii) the operating speed of the diecutter, and (iv) the diecutter's current temperature.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecuttersIdOfFactory, GetSerialCamera1IdFromDiecutterId, GetSerialCamera2IdFromDiecutterId, GetCurrentSessionIdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.camera1 import GetFrameFromCamera1, DetectErrorsInCardboardUsingCamera1
from data_services.camera2 import GetFrameFromCamera2, DetectErrorsInCardboardStackUsingCamera2
from data_services.diecutter import GetCurrentDataFromChip
import threading

def pipeline_function():
    # Get the list of diecutters
    diecutters_id = GetDiecuttersIdOfFactory.call()
    
    # Check if diecutter 14 is in the list
    if 14 not in diecutters_id:
        return [{""error"": ""Diecutter 14 not found""}]
    
    # Get the serial IDs for cameras and chip ID
    serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=14)
    serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=14)
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=14)
    
    # Get current session ID
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=14)
    
    # Get current data from the chip
    current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
    
    # Prepare to collect data for 10 stacks
    results = []
    
    def collect_data_for_stack(camera2_id):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        contains_errors, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        error_description = ""none"" if error_type == 0 else ""hole"" if error_type == 1 else ""fold""
        stack_info = {
            ""presence_of_errors"": contains_errors,
            ""error_type"": error_description,
            ""operating_speed"": current_data[""speed""],
            ""current_temperature"": current_data[""temperature""]
        }
        results.append(stack_info)
    
    # Use threading to handle multiple stacks simultaneously
    threads = []
    for _ in range(10):
        thread = threading.Thread(target=collect_data_for_stack, args=(serial_camera2,))
        threads.append(thread)
        thread.start()
    
    for thread in threads:
        thread.join()
    
    return results","+----+------------------------+
|    | error                  |
|----+------------------------|
|  0 | Diecutter 14 not found |
+----+------------------------+",[{'error': 'Diecutter 14 not found'}],"Compute a table that gives some information about the current session of diecutter 14. For each erroneous stack produced, the table should tell me (i) the type of error, (ii) the current session of the diecutter, (iii) the current speed of the diecutter, (iii) the current temperature of the diecutter and (iv) the total number of rotations until now. The table should contain data for the next 30 stacks.","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.database import GetCamera2IdFromDiecutterId
from data_services.database import GetCurrentSessionIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
from data_services.camera2 import GetFrameFromCamera2
from data_services.camera2 import DetectErrorsInCardboardStackUsingCamera2
import threading
import time

def pipeline_function():
    diecutter_id = 14
    n_stacks = 30

    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)

    def check_error(camera2_id, frame, card_errors_res):
        has_error, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        card_errors_res['has_error'] = has_error
        card_errors_res['error_type'] = error_type
    
    def retrieve_diecutter_data(chip_id, diecutter_info_res):
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        diecutter_info_res.update(current_data)

    results = []
    for _ in range(n_stacks):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        timestamp = time.time()
        card_errors_res = {}
        card_errors = threading.Thread(target=check_error, args=(camera2_id, frame, card_errors_res))
        diecutter_info_res = {}
        diecutter_info = threading.Thread(target=retrieve_diecutter_data, args=(chip_id, diecutter_info_res))
        card_errors.start()
        diecutter_info.start()
        card_errors.join()
        diecutter_info.join()
        if card_errors_res['has_error']:
            result_row = {
                'timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(timestamp)),
                'session_id': session_id,
                'error_type': card_errors_res['error_type'],
                'speed': diecutter_info_res['speed'],
                'temperature': diecutter_info_res['temperature'],
                'rotations': diecutter_info_res['rotations']
            }
            results.append(result_row)

    return results
"
q4,5,"Generate a table that displays details for the ongoing session of diecutter 14. For each of the next 10 stacks produced, the table should include: (i) whether the stack has errors, (ii) the error type if there are errors, (iii) the operating speed of the diecutter, and (iv) the operating temperature of the diecutter.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetCamera2IdFromDiecutterId, GetCurrentSessionIdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.camera2 import GetFrameFromCamera2, DetectErrorsInCardboardStackUsingCamera2
from data_services.diecutter import GetCurrentDataFromChip
import time

def pipeline_function():
    diecutter_id = 14
    camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    results = []
    for _ in range(10):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        contains_errors, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        
        result = {
            ""session_id"": session_id,
            ""has_errors"": contains_errors,
            ""error_type"": error_type,
            ""operating_speed"": current_data[""speed""],
            ""operating_temperature"": current_data[""temperature""]
        }
        results.append(result)
        time.sleep(1)  # Ensure we get a new frame for each iteration
    
    return results","+----+--------------+--------------+--------------+-------------------+-------------------------+
|    |   session_id | has_errors   |   error_type |   operating_speed |   operating_temperature |
|----+--------------+--------------+--------------+-------------------+-------------------------|
|  0 |           88 | True         |            1 |                 9 |                       0 |
|  1 |           88 | False        |            0 |                 4 |                       4 |
|  2 |           88 | False        |            0 |                 3 |                       3 |
|  3 |           88 | True         |            1 |                 3 |                      14 |
|  4 |           88 | True         |            1 |                 4 |                      18 |
|  5 |           88 | False        |            0 |                 6 |                      27 |
|  6 |           88 | False        |            0 |                 3 |                       0 |
|  7 |           88 | True         |            2 |                 7 |                       9 |
|  8 |           88 | True         |            1 |                 5 |                      26 |
|  9 |           88 | True         |            2 |                 4 |                       9 |
+----+--------------+--------------+--------------+-------------------+-------------------------+","[{'session_id': 88, 'has_errors': True, 'error_type': 1, 'operating_speed': 9, 'operating_temperature': 0}, {'session_id': 88, 'has_errors': False, 'error_type': 0, 'operating_speed': 4, 'operating_temperature': 4}, {'session_id': 88, 'has_errors': False, 'error_type': 0, 'operating_speed': 3, 'operating_temperature': 3}, {'session_id': 88, 'has_errors': True, 'error_type': 1, 'operating_speed': 3, 'operating_temperature': 14}, {'session_id': 88, 'has_errors': True, 'error_type': 1, 'operating_speed': 4, 'operating_temperature': 18}, {'session_id': 88, 'has_errors': False, 'error_type': 0, 'operating_speed': 6, 'operating_temperature': 27}, {'session_id': 88, 'has_errors': False, 'error_type': 0, 'operating_speed': 3, 'operating_temperature': 0}, {'session_id': 88, 'has_errors': True, 'error_type': 2, 'operating_speed': 7, 'operating_temperature': 9}, {'session_id': 88, 'has_errors': True, 'error_type': 1, 'operating_speed': 5, 'operating_temperature': 26}, {'session_id': 88, 'has_errors': True, 'error_type': 2, 'operating_speed': 4, 'operating_temperature': 9}]","Compute a table that gives some information about the current session of diecutter 14. For each erroneous stack produced, the table should tell me (i) the type of error, (ii) the current session of the diecutter, (iii) the current speed of the diecutter, (iii) the current temperature of the diecutter and (iv) the total number of rotations until now. The table should contain data for the next 30 stacks.","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.database import GetCamera2IdFromDiecutterId
from data_services.database import GetCurrentSessionIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
from data_services.camera2 import GetFrameFromCamera2
from data_services.camera2 import DetectErrorsInCardboardStackUsingCamera2
import threading
import time

def pipeline_function():
    diecutter_id = 14
    n_stacks = 30

    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)

    def check_error(camera2_id, frame, card_errors_res):
        has_error, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        card_errors_res['has_error'] = has_error
        card_errors_res['error_type'] = error_type
    
    def retrieve_diecutter_data(chip_id, diecutter_info_res):
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        diecutter_info_res.update(current_data)

    results = []
    for _ in range(n_stacks):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        timestamp = time.time()
        card_errors_res = {}
        card_errors = threading.Thread(target=check_error, args=(camera2_id, frame, card_errors_res))
        diecutter_info_res = {}
        diecutter_info = threading.Thread(target=retrieve_diecutter_data, args=(chip_id, diecutter_info_res))
        card_errors.start()
        diecutter_info.start()
        card_errors.join()
        diecutter_info.join()
        if card_errors_res['has_error']:
            result_row = {
                'timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(timestamp)),
                'session_id': session_id,
                'error_type': card_errors_res['error_type'],
                'speed': diecutter_info_res['speed'],
                'temperature': diecutter_info_res['temperature'],
                'rotations': diecutter_info_res['rotations']
            }
            results.append(result_row)

    return results
"
q4,6,"Generate a table detailing the ongoing session of diecutter 14. For each of the next 10 stacks, the table should display: (i) presence of errors in the stack, (ii) type of error if applicable, (iii) current operational speed of diecutter 14, and (iv) present temperature of the diecutter.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetSerialCamera2IdFromDiecutterId, GetCurrentSessionIdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.camera2 import GetFrameFromCamera2, DetectErrorsInCardboardStackUsingCamera2
from data_services.diecutter import GetCurrentDataFromChip
import threading

def pipeline_function(diecutter_id=14):
    # Retrieve the camera2 serial and chip id for the specified diecutter
    serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Retrieve the current session id (not used in the output but might be relevant for context)
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Function to fetch and process data for each stack
    def fetch_stack_data(index):
        frame = GetFrameFromCamera2.call(camera2_id=serial_camera2)
        contains_errors, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=serial_camera2, frame=frame)
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        
        error_type_description = ""none"" if error_type == 0 else (""hole"" if error_type == 1 else ""fold"")
        return {
            ""stack_index"": index,
            ""presence_of_errors"": contains_errors,
            ""type_of_error"": error_type_description,
            ""current_operational_speed"": current_data[""speed""],
            ""present_temperature"": current_data[""temperature""]
        }
    
    # Using threading to handle multiple stacks concurrently
    threads = []
    results = [None] * 10  # Pre-allocate list for results
    
    for i in range(10):
        thread = threading.Thread(target=lambda idx: results.__setitem__(idx, fetch_stack_data(idx)), args=(i,))
        threads.append(thread)
        thread.start()
    
    for thread in threads:
        thread.join()
    
    return results","+----+---------------+----------------------+-----------------+-----------------------------+-----------------------+
|    |   stack_index | presence_of_errors   | type_of_error   |   current_operational_speed |   present_temperature |
|----+---------------+----------------------+-----------------+-----------------------------+-----------------------|
|  0 |             0 | True                 | hole            |                           9 |                     0 |
|  1 |             1 | False                | none            |                           9 |                     0 |
|  2 |             2 | False                | none            |                           9 |                     0 |
|  3 |             3 | False                | none            |                           9 |                     0 |
|  4 |             4 | False                | none            |                           9 |                     0 |
|  5 |             5 | False                | none            |                           9 |                     0 |
|  6 |             6 | False                | none            |                           9 |                     0 |
|  7 |             7 | True                 | hole            |                           9 |                     0 |
|  8 |             8 | True                 | fold            |                           9 |                     0 |
|  9 |             9 | False                | none            |                           9 |                     0 |
+----+---------------+----------------------+-----------------+-----------------------------+-----------------------+","[{'stack_index': 0, 'presence_of_errors': True, 'type_of_error': 'hole', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 1, 'presence_of_errors': False, 'type_of_error': 'none', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 2, 'presence_of_errors': False, 'type_of_error': 'none', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 3, 'presence_of_errors': False, 'type_of_error': 'none', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 4, 'presence_of_errors': False, 'type_of_error': 'none', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 5, 'presence_of_errors': False, 'type_of_error': 'none', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 6, 'presence_of_errors': False, 'type_of_error': 'none', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 7, 'presence_of_errors': True, 'type_of_error': 'hole', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 8, 'presence_of_errors': True, 'type_of_error': 'fold', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 9, 'presence_of_errors': False, 'type_of_error': 'none', 'current_operational_speed': 9, 'present_temperature': 0}]","Compute a table that gives some information about the current session of diecutter 14. For each erroneous stack produced, the table should tell me (i) the type of error, (ii) the current session of the diecutter, (iii) the current speed of the diecutter, (iii) the current temperature of the diecutter and (iv) the total number of rotations until now. The table should contain data for the next 30 stacks.","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.database import GetCamera2IdFromDiecutterId
from data_services.database import GetCurrentSessionIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
from data_services.camera2 import GetFrameFromCamera2
from data_services.camera2 import DetectErrorsInCardboardStackUsingCamera2
import threading
import time

def pipeline_function():
    diecutter_id = 14
    n_stacks = 30

    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)

    def check_error(camera2_id, frame, card_errors_res):
        has_error, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        card_errors_res['has_error'] = has_error
        card_errors_res['error_type'] = error_type
    
    def retrieve_diecutter_data(chip_id, diecutter_info_res):
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        diecutter_info_res.update(current_data)

    results = []
    for _ in range(n_stacks):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        timestamp = time.time()
        card_errors_res = {}
        card_errors = threading.Thread(target=check_error, args=(camera2_id, frame, card_errors_res))
        diecutter_info_res = {}
        diecutter_info = threading.Thread(target=retrieve_diecutter_data, args=(chip_id, diecutter_info_res))
        card_errors.start()
        diecutter_info.start()
        card_errors.join()
        diecutter_info.join()
        if card_errors_res['has_error']:
            result_row = {
                'timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(timestamp)),
                'session_id': session_id,
                'error_type': card_errors_res['error_type'],
                'speed': diecutter_info_res['speed'],
                'temperature': diecutter_info_res['temperature'],
                'rotations': diecutter_info_res['rotations']
            }
            results.append(result_row)

    return results
"
q4,7,"Generate a table detailing information on the current session for diecutter 14. For each of the upcoming 10 stacks, the table should provide (i) whether the stack has any errors, (ii) the specific type of error if present, (iii) the operating speed of the diecutter, and (iv) the present temperature of the diecutter.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","from data_services.database import GetDiecutterChipIdFromDiecutterId, GetCurrentSessionIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
from data_services.camera2 import GetSerialCamera2IdFromDiecutterId, GetFrameFromCamera2, DetectErrorsInCardboardStackUsingCamera2
import threading

def pipeline_function(diecutter_id=14):
    # Retrieve the chip ID and session ID for the diecutter
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Retrieve the current data from the chip
    current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
    current_speed = current_data[""speed""]
    current_temperature = current_data[""temperature""]
    
    # Retrieve the camera2 serial ID
    camera2_id = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Function to get stack data
    def get_stack_data(index):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        contains_errors, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        error_description = ""None"" if error_type == 0 else ""Hole"" if error_type == 1 else ""Fold""
        return {
            ""stack_index"": index,
            ""has_errors"": contains_errors,
            ""error_type"": error_description,
            ""operating_speed"": current_speed,
            ""temperature"": current_temperature
        }
    
    # Collect data for 10 upcoming stacks
    results = []
    threads = []
    for i in range(10):
        thread = threading.Thread(target=lambda idx: results.append(get_stack_data(idx)), args=(i,))
        threads.append(thread)
        thread.start()
    
    # Wait for all threads to complete
    for thread in threads:
        thread.join()
    
    # Sort results by stack index
    results.sort(key=lambda x: x[""stack_index""])
    return results",The pipeline did not run successfully,"[{'stack_index': 0, 'presence_of_errors': True, 'type_of_error': 'hole', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 1, 'presence_of_errors': False, 'type_of_error': 'none', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 2, 'presence_of_errors': False, 'type_of_error': 'none', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 3, 'presence_of_errors': False, 'type_of_error': 'none', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 4, 'presence_of_errors': False, 'type_of_error': 'none', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 5, 'presence_of_errors': False, 'type_of_error': 'none', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 6, 'presence_of_errors': False, 'type_of_error': 'none', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 7, 'presence_of_errors': True, 'type_of_error': 'hole', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 8, 'presence_of_errors': True, 'type_of_error': 'fold', 'current_operational_speed': 9, 'present_temperature': 0}, {'stack_index': 9, 'presence_of_errors': False, 'type_of_error': 'none', 'current_operational_speed': 9, 'present_temperature': 0}]","Compute a table that gives some information about the current session of diecutter 14. For each erroneous stack produced, the table should tell me (i) the type of error, (ii) the current session of the diecutter, (iii) the current speed of the diecutter, (iii) the current temperature of the diecutter and (iv) the total number of rotations until now. The table should contain data for the next 30 stacks.","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.database import GetCamera2IdFromDiecutterId
from data_services.database import GetCurrentSessionIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
from data_services.camera2 import GetFrameFromCamera2
from data_services.camera2 import DetectErrorsInCardboardStackUsingCamera2
import threading
import time

def pipeline_function():
    diecutter_id = 14
    n_stacks = 30

    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)

    def check_error(camera2_id, frame, card_errors_res):
        has_error, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        card_errors_res['has_error'] = has_error
        card_errors_res['error_type'] = error_type
    
    def retrieve_diecutter_data(chip_id, diecutter_info_res):
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        diecutter_info_res.update(current_data)

    results = []
    for _ in range(n_stacks):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        timestamp = time.time()
        card_errors_res = {}
        card_errors = threading.Thread(target=check_error, args=(camera2_id, frame, card_errors_res))
        diecutter_info_res = {}
        diecutter_info = threading.Thread(target=retrieve_diecutter_data, args=(chip_id, diecutter_info_res))
        card_errors.start()
        diecutter_info.start()
        card_errors.join()
        diecutter_info.join()
        if card_errors_res['has_error']:
            result_row = {
                'timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(timestamp)),
                'session_id': session_id,
                'error_type': card_errors_res['error_type'],
                'speed': diecutter_info_res['speed'],
                'temperature': diecutter_info_res['temperature'],
                'rotations': diecutter_info_res['rotations']
            }
            results.append(result_row)

    return results
"
q4,8,"Generate a table displaying details for the upcoming 10 stacks from diecutter 14. The table should include: (i) whether any stack has errors, (ii) the specific error type if present, (iii) the current operating speed of diecutter 14, and (iv) the present operating temperature of diecutter 14.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import numpy as np
from data_services.camera2 import GetFrameFromCamera2, DetectErrorsInCardboardStackUsingCamera2
from data_services.database import GetSerialCamera2IdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip

def pipeline_function():
    diecutter_id = 14
    camera2_serial = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
    
    stacks_details = []
    for _ in range(10):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_serial)
        contains_errors = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_serial, frame=frame)
        
        stack_detail = {
            ""has_errors"": contains_errors,
            ""current_speed"": current_data[""speed""],
            ""current_temperature"": current_data[""temperature""]
        }
        stacks_details.append(stack_detail)
    
    return stacks_details","+----+--------------+-----------------+-----------------------+
|    | has_errors   |   current_speed |   current_temperature |
|----+--------------+-----------------+-----------------------|
|  0 | [False, 0]   |               9 |                     0 |
|  1 | [True, 2]    |               9 |                     0 |
|  2 | [False, 0]   |               9 |                     0 |
|  3 | [False, 0]   |               9 |                     0 |
|  4 | [True, 1]    |               9 |                     0 |
|  5 | [True, 1]    |               9 |                     0 |
|  6 | [False, 0]   |               9 |                     0 |
|  7 | [True, 1]    |               9 |                     0 |
|  8 | [False, 0]   |               9 |                     0 |
|  9 | [False, 0]   |               9 |                     0 |
+----+--------------+-----------------+-----------------------+","[{'has_errors': [False, 0], 'current_speed': 9, 'current_temperature': 0}, {'has_errors': [True, 2], 'current_speed': 9, 'current_temperature': 0}, {'has_errors': [False, 0], 'current_speed': 9, 'current_temperature': 0}, {'has_errors': [False, 0], 'current_speed': 9, 'current_temperature': 0}, {'has_errors': [True, 1], 'current_speed': 9, 'current_temperature': 0}, {'has_errors': [True, 1], 'current_speed': 9, 'current_temperature': 0}, {'has_errors': [False, 0], 'current_speed': 9, 'current_temperature': 0}, {'has_errors': [True, 1], 'current_speed': 9, 'current_temperature': 0}, {'has_errors': [False, 0], 'current_speed': 9, 'current_temperature': 0}, {'has_errors': [False, 0], 'current_speed': 9, 'current_temperature': 0}]","Compute a table that gives some information about the current session of diecutter 14. For each erroneous stack produced, the table should tell me (i) the type of error, (ii) the current session of the diecutter, (iii) the current speed of the diecutter, (iii) the current temperature of the diecutter and (iv) the total number of rotations until now. The table should contain data for the next 30 stacks.","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.database import GetCamera2IdFromDiecutterId
from data_services.database import GetCurrentSessionIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
from data_services.camera2 import GetFrameFromCamera2
from data_services.camera2 import DetectErrorsInCardboardStackUsingCamera2
import threading
import time

def pipeline_function():
    diecutter_id = 14
    n_stacks = 30

    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)

    def check_error(camera2_id, frame, card_errors_res):
        has_error, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        card_errors_res['has_error'] = has_error
        card_errors_res['error_type'] = error_type
    
    def retrieve_diecutter_data(chip_id, diecutter_info_res):
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        diecutter_info_res.update(current_data)

    results = []
    for _ in range(n_stacks):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        timestamp = time.time()
        card_errors_res = {}
        card_errors = threading.Thread(target=check_error, args=(camera2_id, frame, card_errors_res))
        diecutter_info_res = {}
        diecutter_info = threading.Thread(target=retrieve_diecutter_data, args=(chip_id, diecutter_info_res))
        card_errors.start()
        diecutter_info.start()
        card_errors.join()
        diecutter_info.join()
        if card_errors_res['has_error']:
            result_row = {
                'timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(timestamp)),
                'session_id': session_id,
                'error_type': card_errors_res['error_type'],
                'speed': diecutter_info_res['speed'],
                'temperature': diecutter_info_res['temperature'],
                'rotations': diecutter_info_res['rotations']
            }
            results.append(result_row)

    return results
"
q4,9,"Generate a table presenting details on the ongoing operation of diecutter 14. The table should include for each of the next 10 stacks: (i) error presence, (ii) specific error types if applicable, (iii) present operating speed, and (iv) current operating temperature of the diecutter.","brief_description: Data service that, given the id of a camera1, provides a frame captured from that camera1. - detailed_description: Data service that, given the id of a camera1, provides a frame captured from that camera1.
        In general instances of camera1 point downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera1 (an integer) and returns a frame captured from that camera1 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera1 is 123, then the data service would be called as follows:
        camera1_id = 123
        frame = GetFrameFromCamera1.call(camera1_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int'] - output_values: ['frame:np.matrix'] - module: camera1 - class_name: GetFrameFromCamera1brief_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors and provide the type of error. - detailed_description: Data service that, given a frame captured from a specific camera1 and the identifier of that camera1, detects whether the frame contains a cardboard with errors.
        Recall that a camera1 is a camera device that points downwards to a conveyor belt of a specific production line that trasports single cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera1 to use and the frame captured from that camera1.
        It returns a boolean value, True if the frame contains a cardboard with errors, False otherwise.
        Also it returns a integer value, 0 if the frame does not contain errors, 1 if the errors are of type hole and 2 if the errors are of type fold. 

        Example usage:
        - If frame is a variable containing the frame captured from the camera1 with id 123, then the data service would be called as follows:
        camera1_id = 123
        contains_errors, type_errors = DetectErrorsInCardboardUsingCamera1.call(camera1_id=123, frame=frame)

        Things to keep in mind:
        - The output is a tuple of boolean and integer, so avoid trying to access it as a dictionary. - input_parameters: ['camera1_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool', 'error_type:int'] - module: camera1 - class_name: DetectErrorsInCardboardUsingCamera1brief_description: Data service that, given the id of a camera2, provides a frame captured from that camera2. - detailed_description: Data service that, given the id of a camera2, provides a frame captured from that camera2.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        The data service takes a single parameter, namely the id of the camera2 (an integer) and returns a frame captured from that camera2 as a numpy matrix.
        The matrix is a 2D array having a shape of (1080, 1920, 3) where 1080 is the height, 1920 is the width and 3 is the number of channels (RGB).

        Example usage:
        - If the id of the camera2 is 123, then the data service would be called as follows:
        camera2_id = 123
        frame = GetFrameFromCamera2.call(camera2_id=123)
        # assuming the frame is a numpy matrix
        print(frame.shape)  # (1080, 1920, 3)

        Things to keep in mind:
        - The refresh rate of the camera is 1 second, i.e. the frame is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - The frame is a numpy matrix, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int'] - output_values: ['frame:np.matrix'] - module: camera2 - class_name: GetFrameFromCamera2brief_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors. - detailed_description: Data service that, given a frame captured from a specific camera2 and the identifier of that camera2, detects whether the frame contains a stack of cardboards with errors.
        Recall that a camera2 is a camera device that points downwards to a conveyor belt of a specific production line that trasports stack of cutout cardboards produced by a specific diecutter.
        It takes two parameters, the id of the camera2 to use and the frame captured from that camera2 that contains a stack of cardboards.
        It returns a boolean value, True if the frame contains a stack of cardboards with errors, False otherwise.

        Example usage:
        - If frame is a variable containing the frame captured from the camera2 with id 123, then the data service would be called as follows:
        camera2_id = 123
        contains_errors, error_type = DetectErrorsInCardboardStack.call(camera2_id=123, frame=frame)

        Things to keep in mind:
        - The output value is a boolean, so avoid trying to access it as a dictionary. - input_parameters: ['camera2_id:int', 'frame:np.matrix'] - output_values: ['contains_errors:bool'] - module: camera2 - class_name: DetectErrorsInCardboardStackUsingCamera2brief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera1 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera1.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera1 = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera1)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera1:int'] - module: database - class_name: GetSerialCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed. - detailed_description: Data service that, given the id of a diecutter, provides the serial of the camera1 installed.
        The data service relies on the management database of the cardboard factory to provide the camera2 serial.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the serial of the camera2.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        serial_camera2 = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the serial is 4561245
        print(serial_camera2)  # 4561245

        Things to keep in mind:
        - The serial is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['serial_camera2:int'] - module: database - class_name: GetSerialCamera2IdFromDiecutterIdbrief_description: Data service that provides the list of id of the diecutters installed in the factory. - detailed_description: Data service that provides the id of the diecutter installed in the factory.
        The data service relies on the management database of the cardboard factory to provide the list of diecutter id.
        The data service takes no parameter and returns a list of integers, which are the id of the diecutters installed in the factory.

        Example usage:
        - The data service would be called as follows:
        diecutters_id = GetDiecuttersIdOfFactory.call()
        # assuming the diecutters id are [1, 2, 3]
        print(diecutters_id)  # [1, 2, 3]

        Things to keep in mind:
        - The diecutters id is a list of integers, so avoid trying to access it as a dictionary. - input_parameters: [] - output_values: ['diecutters_id:list'] - module: database - class_name: GetDiecuttersIdOfFactorybrief_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the chip embedded into that diecutter.
        The data service relies on the management database of the cardboard factory to provide the chip id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the chip id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=123)
        # assuming the chip id is 456
        print(chip_id)  # 456

        Things to keep in mind:
        - The chip id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['chip_id:int'] - module: database - class_name: GetDiecutterChipIdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera1 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera1 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera1_id = GetCamera1IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera1 id is 456
        print(camera1_id)  # 456

        Things to keep in mind:
        - The camera1 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera1_id:int'] - module: database - class_name: GetCamera1IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.
        The data service relies on the management database of the cardboard factory to provide the camera2 id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the id of the camera2 used to capture the frames of the cardboard cutouts produced by that diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=123)
        # assuming the camera2 id is 456
        print(camera2_id)  # 456

        Things to keep in mind:
        - The camera2 id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['camera2_id:int'] - module: database - class_name: GetCamera2IdFromDiecutterIdbrief_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter. - detailed_description: Data service that, given the id of a diecutter, provides the current session id of that diecutter.
        The data service relies on the management database of the cardboard factory to provide the session id.
        The data service takes a single parameter, namely the id of the diecutter (an integer) and returns a single integer, which is the current session id of the diecutter.

        Example usage:
        - If the id of the diecutter is 123, then the data service would be called as follows:
        diecutter_id = 123
        session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=123)
        # assuming the session id is 456
        print(session_id)  # 456

        Things to keep in mind:
        - The session id is an integer, so avoid trying to access it as a dictionary. - input_parameters: ['diecutter_id:int'] - output_values: ['session_id:int'] - module: database - class_name: GetCurrentSessionIdFromDiecutterIdbrief_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip. - detailed_description: Data service that, given a chip id of a chip embedded into a diecutter, provides the current speed, temperature and number of rotations measured by that chip.
        In general each diecutter has exactly one chip embedded into it, and each chip is uniquely identified by an integer id. 
        This means that the chip id has a one-to-one correspondence with the id of the diecutter, but those two ids may not be the same.
        This data service takes a single parameter, namely the id of the chip (an integer) and returns a single dictionary containing the current speed, temperature and number of rotations of the diecutter it is attached to.
        The keys of the dictionary are ""speed"", ""temperature"" and ""rotations"". 
        
        Example usage:
        - If the id of the chip is 123, then the data service would be called as follows:
        chip_id = 123
        current_data = GetCurrentData.call(chip_id=123)
        # get the current speed, temperature and number of rotations
        current_speed = data[""speed""]
        current_temperature = data[""temperature""]
        current_rotations = data[""rotations""]
    
        Things to keep in mind:
        - The refresh rate of the data is 1 second, i.e. the data is updated every second, so if the data service is called multiple times within a second, it will return the same value.
        - Note that the values in the dictionary represents the current values of the speed, etc. of the diecutter, they are not aggregated values.
        - Remember that the output value is a dictionary with the above specified keys, so avoid trying to access it using keys not in the above example. - input_parameters: ['chip_id:int'] - output_values: ['diecutter_current_data:dict'] - module: diecutter - class_name: GetCurrentDataFromChip","import numpy as np
import time
from data_services.camera1 import GetFrameFromCamera1, DetectErrorsInCardboardUsingCamera1
from data_services.camera2 import GetFrameFromCamera2, DetectErrorsInCardboardStackUsingCamera2
from data_services.database import GetSerialCamera1IdFromDiecutterId, GetSerialCamera2IdFromDiecutterId, GetDiecutterChipIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip

def pipeline_function(diecutter_id=14):
    # Get camera IDs from diecutter ID
    camera1_id = GetSerialCamera1IdFromDiecutterId.call(diecutter_id=diecutter_id)
    camera2_id = GetSerialCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Get chip ID from diecutter ID
    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    
    # Initialize the list to store the results
    results = []
    
    # Collect data for the next 10 stacks
    for _ in range(10):
        # Get frames from both cameras
        frame_camera1 = GetFrameFromCamera1.call(camera1_id=camera1_id)
        frame_camera2 = GetFrameFromCamera2.call(camera2_id=camera2_id)
        
        # Detect errors in the cardboard and stack
        contains_errors, error_type = DetectErrorsInCardboardUsingCamera1.call(camera1_id=camera1_id, frame=frame_camera1)
        stack_contains_errors = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame_camera2)
        
        # Get current operating data from the chip
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        
        # Map error type to string description
        error_description = {0: ""No error"", 1: ""Hole"", 2: ""Fold""}
        error_type_str = error_description[error_type] if contains_errors else ""No error""
        
        # Append the result for this stack
        results.append({
            ""error_presence"": contains_errors or stack_contains_errors,
            ""specific_error_types"": error_type_str,
            ""present_operating_speed"": current_data[""speed""],
            ""current_operating_temperature"": current_data[""temperature""]
        })
        
        # Wait for 1 second to get the next frame
        time.sleep(1)
    
    return results","+----+------------------+------------------------+---------------------------+---------------------------------+
|    | error_presence   | specific_error_types   |   present_operating_speed |   current_operating_temperature |
|----+------------------+------------------------+---------------------------+---------------------------------|
|  0 | [False, 0]       | No error               |                         9 |                               0 |
|  1 | [True, 2]        | No error               |                         4 |                               4 |
|  2 | True             | Hole                   |                         3 |                               3 |
|  3 | True             | Hole                   |                         3 |                              14 |
|  4 | True             | Fold                   |                         4 |                              18 |
|  5 | True             | Hole                   |                         6 |                              27 |
|  6 | True             | Hole                   |                         3 |                               0 |
|  7 | [True, 1]        | No error               |                         7 |                               9 |
|  8 | True             | Hole                   |                         5 |                              26 |
|  9 | [False, 0]       | No error               |                         4 |                               9 |
+----+------------------+------------------------+---------------------------+---------------------------------+","[{'error_presence': [False, 0], 'specific_error_types': 'No error', 'present_operating_speed': 9, 'current_operating_temperature': 0}, {'error_presence': [True, 2], 'specific_error_types': 'No error', 'present_operating_speed': 4, 'current_operating_temperature': 4}, {'error_presence': True, 'specific_error_types': 'Hole', 'present_operating_speed': 3, 'current_operating_temperature': 3}, {'error_presence': True, 'specific_error_types': 'Hole', 'present_operating_speed': 3, 'current_operating_temperature': 14}, {'error_presence': True, 'specific_error_types': 'Fold', 'present_operating_speed': 4, 'current_operating_temperature': 18}, {'error_presence': True, 'specific_error_types': 'Hole', 'present_operating_speed': 6, 'current_operating_temperature': 27}, {'error_presence': True, 'specific_error_types': 'Hole', 'present_operating_speed': 3, 'current_operating_temperature': 0}, {'error_presence': [True, 1], 'specific_error_types': 'No error', 'present_operating_speed': 7, 'current_operating_temperature': 9}, {'error_presence': True, 'specific_error_types': 'Hole', 'present_operating_speed': 5, 'current_operating_temperature': 26}, {'error_presence': [False, 0], 'specific_error_types': 'No error', 'present_operating_speed': 4, 'current_operating_temperature': 9}]","Compute a table that gives some information about the current session of diecutter 14. For each erroneous stack produced, the table should tell me (i) the type of error, (ii) the current session of the diecutter, (iii) the current speed of the diecutter, (iii) the current temperature of the diecutter and (iv) the total number of rotations until now. The table should contain data for the next 30 stacks.","from data_services.database import GetDiecutterChipIdFromDiecutterId
from data_services.database import GetCamera2IdFromDiecutterId
from data_services.database import GetCurrentSessionIdFromDiecutterId
from data_services.diecutter import GetCurrentDataFromChip
from data_services.camera2 import GetFrameFromCamera2
from data_services.camera2 import DetectErrorsInCardboardStackUsingCamera2
import threading
import time

def pipeline_function():
    diecutter_id = 14
    n_stacks = 30

    chip_id = GetDiecutterChipIdFromDiecutterId.call(diecutter_id=diecutter_id)
    session_id = GetCurrentSessionIdFromDiecutterId.call(diecutter_id=diecutter_id)
    camera2_id = GetCamera2IdFromDiecutterId.call(diecutter_id=diecutter_id)

    def check_error(camera2_id, frame, card_errors_res):
        has_error, error_type = DetectErrorsInCardboardStackUsingCamera2.call(camera2_id=camera2_id, frame=frame)
        card_errors_res['has_error'] = has_error
        card_errors_res['error_type'] = error_type
    
    def retrieve_diecutter_data(chip_id, diecutter_info_res):
        current_data = GetCurrentDataFromChip.call(chip_id=chip_id)
        diecutter_info_res.update(current_data)

    results = []
    for _ in range(n_stacks):
        frame = GetFrameFromCamera2.call(camera2_id=camera2_id)
        timestamp = time.time()
        card_errors_res = {}
        card_errors = threading.Thread(target=check_error, args=(camera2_id, frame, card_errors_res))
        diecutter_info_res = {}
        diecutter_info = threading.Thread(target=retrieve_diecutter_data, args=(chip_id, diecutter_info_res))
        card_errors.start()
        diecutter_info.start()
        card_errors.join()
        diecutter_info.join()
        if card_errors_res['has_error']:
            result_row = {
                'timestamp': time.strftime(""%Y-%m-%d %H:%M:%S"", time.gmtime(timestamp)),
                'session_id': session_id,
                'error_type': card_errors_res['error_type'],
                'speed': diecutter_info_res['speed'],
                'temperature': diecutter_info_res['temperature'],
                'rotations': diecutter_info_res['rotations']
            }
            results.append(result_row)

    return results
"