feat: add TTL index functionality to MongoDB activities and update requirements
- Updated MongoDB class to accept TTL index duration in seconds.
- Implemented create_collection_with_ttl_index method to create collections with TTL indexes.
- Added environment variable for TTL index duration in connectors_config.
- Updated tests to cover new TTL index functionality and ensure proper behavior.
- Bumped sientia-dataops-library version to 1.3.4 in requirements.txt.
refactor: update notification handler imports to use CoreNotificationHandler across activities and worker, enhancing consistency in notification management
refactor: restructure services in values.yaml to separate API and OPC configurations; update mongo_db.py to import datetime correctly and enhance readability
SIENTIAPDE-1150: enhance MongoDB activities to filter successful pipelines; update orchestration workflow to include timestamp management for updated, created, and deleted pipelines; adjust tests to reflect new success criteria
chore: update image tag to 0.2.4 in values.yaml; refactor logging in slot_manager and temporal_manager for improved readability; modify MongoDB and Redis configurations for better defaults; enhance worker.py with new activities and error handling
Refactor predictions_batch to use server_id instead of server_name; update values.yaml to set GITHUB_BRANCH to main; add new laborious pipeline configuration in samples.json
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.
