Enhance end-to-end tests for PredictionsBatch workflow scenarios
- Updated scenario descriptions and assertions for error handling in prediction exports.
- Introduced new test cases for handling exports with only OPC or PI Web API.
- Refactored existing tests to improve clarity and maintainability, including dynamic data insertion.
- Adjusted workflow input configurations to better reflect expected behaviors for various error scenarios.
Refactor end-to-end tests for PredictionsBatch workflow
- Updated the `assert_continue` function to accept dynamic prediction confidence and comments.
- Simplified test scenarios by introducing helper functions for data insertion.
- Enhanced test cases to verify behavior for CONTINUE, STOP, and REPEAT policies at transform gates.
- Improved clarity and maintainability of test structure.
SIENTIAPDE-1478
Enhance end-to-end tests for PredictionsBatch workflow
- Added new test scenarios for input and transform gates handling CONTINUE, STOP, and REPEAT policies.
- Implemented sample data insertion functions for testing various prediction outcomes.
- Updated existing tests to verify behavior under different input conditions and response validations.
- Refactored test structure for clarity and maintainability.
Update coverage source in pyproject.toml, add testcontainers for PostgreSQL in requirements-dev.txt, increment image tag and adjust probe delays in values.yaml, and refine condition checks in format_and_export_prediction.py and mlflow.py. Additionally, enhance test coverage in test_gates.py.
