Update tests.ipynb and prepare_worker.py
- Reset execution counts in tests.ipynb for reproducibility.
- Removed error outputs and added new tags in TAG_NAMES for enhanced data retrieval.
- Introduced JSON export of web_ids to 'web_ids.json' for better data management.
- Added comments in prepare_worker.py to clarify worker configuration parameters.
Update tests.ipynb to improve execution count management and enhance data handling
- Adjusted execution counts for various code cells to maintain consistent state.
- Added error handling for KeyError in API response processing.
- Updated data processing logic to include timestamp formatting and CSV export functionality.
Update requirements and enhance tests.ipynb functionality
- Changed the dependency path for sientia-dataops-library in requirements.txt to a local directory.
- Updated execution counts in tests.ipynb for better state management and added new code cells for retrieving web IDs from the PI Web API, improving data handling capabilities.
Enhance PI Web API integration and update test configurations
- Adjusted execution counts in tests.ipynb for better notebook state management.
- Introduced a new pi_web_api_query structure in tests.ipynb for improved API configuration.
- Updated API class to format timestamps using DATETIME_FORMAT_WITH_TZ.
- Refactored PIWebAPIClient to ensure correct web ID retrieval and emit metrics accurately.
- Streamlined workflow parameters in pi_web_api_scouter.py for clarity and flexibility.
SIENTIAPDE-1445 Add PI Web API configuration to .env.example and enhance worker setup
- Introduced new environment variables for PI Web API configuration in .env.example.
- Updated prepare_worker.py to utilize a camelCase to kebab-case conversion function for queue naming.
- Enhanced logging in prepare_worker to provide better insights during worker preparation.
- Adjusted execution counts in tests.ipynb for improved notebook state management.
Refactor workflow parameters in tests.ipynb and prepare_worker.py to enhance clarity and flexibility. Updated workflow_id and task_queue to accept dynamic values, and standardized timeout parameters for improved configuration.
