Add unit tests for connectors configuration, logger, workflows, and predictions batch - Implement tests for MLflow, OPC, and Postgres configuration builders to validate environment variable handling and default values. - Create tests for the logger to ensure default settings and handler configurations are correct. - Add comprehensive tests for the FormatAndExportPrediction and PredictionProcess workflows, covering various scenarios including path flags and activity execution. - Introduce tests for the PredictionsBatch workflow to verify the execution of local activities and child workflows. - Include a values.yaml file for Kubernetes deployment configuration, specifying image details, service account settings, environment variables, and resource limits.
23 lines
494 B
Python
23 lines
494 B
Python
from os import getenv
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import logging
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import sys
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def get_logger(name: str):
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log_level = getenv('LOG_LEVEL', 'INFO').upper()
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logger = logging.getLogger(name)
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logger.setLevel(log_level)
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stream_handler = logging.StreamHandler(sys.stdout)
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stream_handler.setLevel(log_level)
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stream_handler.setFormatter(
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logging.Formatter(
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'%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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)
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)
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logger.addHandler(stream_handler)
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return logger
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