issue #687 rename log_error to show_error logs

openeo/rest/datacube.py

@@ -2477,7 +2477,7 @@ def execute_batch(
         job_options: Optional[dict] = None,
         validate: Optional[bool] = None,
         auto_add_save_result: bool = True,
-        log_error=True,
+        show_error_logs: bool = True,
         # TODO: deprecate `format_options` as keyword arguments
         **format_options,
     ) -> BatchJob:
@@ -2495,7 +2495,7 @@ def execute_batch(
         :param validate: Optional toggle to enable/prevent validation of the process graphs before execution
             (overruling the connection's ``auto_validate`` setting).
         :param auto_add_save_result: Automatically add a ``save_result`` node to the process graph if there is none yet.
-        :param log_error: whether to print error logs
+        :param show_error_logs: whether to automatically print error logs when the batch job failed.
 
         .. versionchanged:: 0.32.0
             Added ``auto_add_save_result`` option
@@ -2532,7 +2532,7 @@ def execute_batch(
         return job.run_synchronous(
             outputfile=outputfile,
             print=print, max_poll_interval=max_poll_interval, connection_retry_interval=connection_retry_interval,
-            log_error=log_error
+            show_error_logs=show_error_logs
         )
 
     def create_job(

openeo/rest/job.py

@@ -236,7 +236,7 @@ def logs(
 
     def run_synchronous(
             self, outputfile: Union[str, Path, None] = None,
-            print=print, max_poll_interval=60, connection_retry_interval=30, log_error=True
+            print=print, max_poll_interval=60, connection_retry_interval=30, show_error_logs: bool = True
     ) -> BatchJob:
         """
         Start the job, wait for it to finish and download result
@@ -245,12 +245,12 @@ def run_synchronous(
         :param print: print/logging function to show progress/status
         :param max_poll_interval: maximum number of seconds to sleep between status polls
         :param connection_retry_interval: how long to wait when status poll failed due to connection issue
-        :param log_error: whether to print error logs
+        :param show_error_logs: whether to automatically print error logs when the batch job failed.
         :return:
         """
         self.start_and_wait(
             print=print, max_poll_interval=max_poll_interval, connection_retry_interval=connection_retry_interval,
-            log_error=log_error
+            show_error_logs=show_error_logs
         )
         # TODO #135 support multi file result sets too?
         if outputfile is not None:
@@ -259,7 +259,7 @@ def run_synchronous(
 
     def start_and_wait(
             self, print=print, max_poll_interval: int = 60, connection_retry_interval: int = 30, soft_error_max=10,
-            log_error=True
+            show_error_logs: bool = True
     ) -> BatchJob:
         """
         Start the batch job, poll its status and wait till it finishes (or fails)
@@ -268,7 +268,7 @@ def start_and_wait(
         :param max_poll_interval: maximum number of seconds to sleep between status polls
         :param connection_retry_interval: how long to wait when status poll failed due to connection issue
         :param soft_error_max: maximum number of soft errors (e.g. temporary connection glitches) to allow
-        :param log_error: whether to print error logs
+        :param show_error_logs: whether to automatically print error logs when the batch job failed.
         :return:
         """
         # TODO rename `connection_retry_interval` to something more generic?
@@ -327,7 +327,7 @@ def soft_error(message: str):
 
         if status != "finished":
             # TODO: render logs jupyter-aware in a notebook context?
-            if log_error:
+            if show_error_logs:
                 print(f"Your batch job {self.job_id!r} failed. Error logs:")
                 print(self.logs(level=logging.ERROR))
                 print(

tests/rest/test_job.py

@@ -182,7 +182,7 @@ def test_execute_batch_with_error_with_error_logs_disabled(con100, requests_mock
         with fake_time():
             con100.load_collection("SENTINEL2").execute_batch(
                 outputfile=path, out_format="GTIFF",
-                max_poll_interval=.1, print=log.append, log_error=False
+                max_poll_interval=.1, print=log.append, show_error_logs=False
             )
         pytest.fail("execute_batch should fail")
     except JobFailedException as e: