- Changed search attribute key from "Orchestrated" to "orchestrated" in temporal_manager.py and test cases.
- Enhanced logging for schedule creation and updates in temporal_manager.py.
- Updated schedule creation to use workflow_type directly instead of a hardcoded string.
- Modified gather_read_tags function to use server_id instead of server_name for tag identification.
- Adjusted test cases to reflect changes in server_id usage and ensure consistency across tests.
- Fixed model_name retrieval in common_config to access nested models dictionary.
- Updated test cases to align with new data structures and ensure accurate assertions.
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.
