Measurement Backend

This is a backend service for handling and processing measurements like flow, temperature, pressure, etc. The backend is built using Python and uses Docker for deployment.

Prerequisites

• Git
• Docker
• Docker Compose
• Python 3.10+

Getting Started

1. Clone the Repository

To get started, clone the repository from Git:

git clone [email protected]:pokopt/fuer_assignment.git
cd fuer_assignment

2. Set Up Environment Variables

Make sure to set up the required environment variables for the app to run. You can create a .env file in the root of the project:

POSTGRES_DB=your_db_name
POSTGRES_USER=your_db_user
POSTGRES_PASSWORD=your_db_password
POSTGRES_HOST=db

3. Run with Docker

You can run the entire application, including the PostgreSQL database, with Docker Compose.

Steps:

1. Build and start the Docker containers:

   docker-compose --build

2. Run the container with measurements that backend should process (e.g. power and flow).

   docker-compose run -p 0.0.0.0:8080:8080 fuer_backend power flow

3. The backend should now be running on http://localhost:8080.

4. You can stop the containers with:

   docker-compose down

4. Running Locally (Without Docker)

To run the app locally without Docker:

1. Install the dependencies (preferably in a virtual environment):

   pip install -r requirements.txt

2. Set up environment variables (or create a .env file as described above).

3. Start the application (handling measurements of flow and power):

   PYTHONPATH=. python app/main.py power flow

4. The app will be running on http://localhost:8080.

5. Running Tests

You can run tests locally to verify that the backend is working as expected.

1. Install test dependencies (if any):

   pip install -r requirements_dev.txt

2. Run tests:

   PYTHONPATH=. pytest

---