Refactor PIWebAPIClient and Update Configuration Imports
- Removed outdated PostgreSQL, Redis, MongoDB, and API configuration functions from connectors_config.py.
- Deleted the pi_web_api_client.py file as part of the refactor.
- Updated imports in worker.py and api.py to use the new repository structure.
- Cleaned up scenarios.md by removing obsolete scenarios related to unique constraint violations.
- Commented out the specific version of the sientia-dataops-library in requirements.txt for flexibility.
Invert startTime and endTime parameters in PIWebAPIClient to ensure descending order results. Update tests to verify parameter handling and use pytest.approx for floating-point comparisons.
Refactor imports and enhance timestamp handling in API and test files
- Removed redundant import statements in api.py and prepare_worker.py for cleaner code.
- Updated timestamp format in test cases to include timezone information for consistency.
- Adjusted test configurations to align with new API structure for improved accuracy in data handling.
Enhance Activities and API Integration
- Updated Activities class to include API operations for external data ingestion.
- Added API configuration builder to connectors_config.py for environment variable management.
- Integrated API configuration into worker setup.
- Expanded unit tests to cover new API functionality and configuration handling.
- Updated requirements.txt to include pycurl and prometheus-client for enhanced metrics support.
Refactor initialization of Activities, Gates, and MongoDB classes for improved readability by using multi-line argument formatting. Update related tests to match the new initialization style.
Update environment configuration and refactor activities to include metrics controller. Remove Kafka settings and adjust Redis and MongoDB initialization. Update tests to reflect changes in initialization and metrics tracking.
Update .gitignore and refactor metrics.py, activities.py, and gates.py for improved clarity and consistency. Added coverage.xml and cache directories to .gitignore. Standardized string formatting and parameter handling in metrics and activities classes, enhancing code readability. Removed the deprecated faker.py file and adjusted related tests accordingly.
Enhance Gates and Redis activities by adding metadata parameter to apply_aggregation and notification methods. Refactor notification handling to use send_notification for improved consistency. Update tests to reflect changes in notification method calls and ensure proper functionality with new metadata integration.
Implement workflows for fake data generation, scouter processing, and core scouter operations
- Added `FakeData` workflow to generate random data and send it to a Kafka topic.
- Implemented `Scouter` workflow to load data from Kafka and trigger the core scouter workflow.
- Created `CoreScouter` workflow to process data through quality gates, aggregation, and export to PostgreSQL.
- Developed comprehensive unit tests for activities and workflows, ensuring proper functionality and error handling.
- Enhanced Redis and Postgres activities with robust testing for data handling and error notifications.
- Introduced quality filters for data validation and implemented tests to verify their functionality.
