SIENTIAPDE-1214: Enhance MLFlow and tests with datetime index handling and logging improvements
- Added a new method in MLFlow to detect and parse datetime indices in DataFrames, ensuring proper format and raising errors for invalid types.
- Updated prediction workflows to utilize the new datetime index handling, improving data integrity during transformations.
- Enhanced logging in model_repository to include detailed data outputs for better traceability.
- Adjusted timeout settings in prediction workflows for improved execution time management.
- Updated tests.ipynb to include additional checks for index types and outputs for better validation of functionality.
SIENTIAPDE-1214: Update requirements.txt to clarify dependencies and improve project setup
- Commented out the previous sientia-mlops-library dependency for better clarity.
- Ensured that the requirements.txt reflects the current state of dependencies for easier management.
SIENTIAPDE-1214: Refactor MLFlow and model repository methods to use model_config dictionary
- Updated MLFlow class methods to accept model_config instead of model_retention for improved flexibility.
- Modified model_repository methods to handle model_config, extracting necessary parameters for transformation and prediction.
- Adjusted predictions_batch and prediction_process workflows to utilize model_config for better configuration management.
- Commented out the previous sientia-mlops-library dependency in requirements.txt for clarity.
Refactor OPC and model repository for improved functionality and clarity
- Updated OPC server logging to handle missing prediction and confidence tags gracefully.
- Corrected documentation for OPC reconnection interval from milliseconds to seconds.
- Enhanced MLFlowRepository with new methods for model retrieval, caching, and transformation, improving model management and retraining workflows.
Update tests.ipynb and gates.py for enhanced functionality and clarity
- Adjusted execution count in tests.ipynb for reproducibility.
- Modified DataFrame creation in tests.ipynb to dynamically set size and update timestamp frequency.
- Added a new filter function for empty data in gates.py to improve data handling.
Refactor test data structure in gates.py and model_repository.py for improved clarity and consistency
- Updated test cases in test_gates.py to use dictionaries for prediction and response_time, associating values with timestamps.
- Modified test_predict_success in test_model_repository.py to create a DataFrame with named indices for better readability in assertions.
Enhance tests.ipynb and gates.py for improved logging and output clarity
- Set execution count to null in tests.ipynb for reproducibility.
- Added stdout output to tests.ipynb for better visibility of results.
- Updated DataFrame display logic in tests.ipynb to include additional print statements for length and size.
- Improved debug logging in gates.py to log prediction data as a string for better traceability.
- Changed info log in gates.py to use len() instead of size for consistency.
Update tests.ipynb and values.yaml for improved functionality and versioning
- Updated execution count in tests.ipynb for reproducibility.
- Modified DataFrame creation in tests.ipynb to include a timestamp column and save to CSV.
- Changed image tag in values.yaml from "0.4.4" to "0.4.5" for versioning.
- Updated GITHUB_BRANCH in values.yaml to reflect the latest branch adjustments.
Refactor connectors_config.py and conditional_filters.py for improved configuration management and data filtering
- Updated PostgreSQL and MLFlow configuration functions to enhance default values and environment variable handling.
- Simplified OPC server configuration logic and improved MongoDB connection string construction.
- Refactored conditional filters to streamline null value checks and empty data validation, removing unnecessary comments and examples for clarity.
- Removed extensive module docstrings to enhance code readability.
Update README.md to enhance installation instructions and refactor MLFlow filters
- Added steps for installing GitHub CLI and authenticating with GitHub.
- Updated the `api_error_filter` and `nan_values_filter` functions to improve parameter handling and streamline logic.
Update quality-gate.yml to configure Git for OAuth2 authentication
- Added global Git configuration to replace SSH and HTTPS URLs with OAuth2 token-based authentication for GitHub access.
Remove all module docstrings and the versioning information from the Laborious package, activities, utils, and workflows. This cleanup enhances code readability and reduces unnecessary comments in the codebase.
Update README.md to enhance architecture documentation
- Removed detailed system overview diagram to streamline content.
- Added architecture diagrams for key workflows: PredictionsBatch, PredictionProcess, FormatAndExportPrediction, and MinimalRetrain.
- Improved clarity and structure of the architecture principles section.
Update README.md to reflect changes in prediction workflow configuration
- Revised input parameters for the prediction process, including updates to schedule name, model ID, and workflow name.
- Enhanced structure of input filters and MLflow filter policies for improved clarity and functionality.
- Introduced new fields for model retention and output configuration, while maintaining backward compatibility with existing parameters.
Update README.md to reflect new prediction workflow configuration
- Revised input parameters for the prediction process, including changes to schedule name, model ID, and workflow type.
- Introduced new fields for workflow execution frequency, maximum retry policy, and query for data retrieval.
- Updated input and MLflow filter structures to enhance clarity and functionality.
- Added support for datetime columns and updated retention time for models.
Remove Docker configuration files and refactor project structure
- Deleted docker-compose.yml and Dockerfile as part of the project restructuring.
- Updated README.md to reflect changes in project setup and configuration.
- Introduced a new __init__.py file in the laborious package to provide an overview of the system.
- Enhanced documentation across various modules, including metrics, activities, and workflows, to improve clarity and usability.
- Added comprehensive docstrings and comments to key classes and methods for better maintainability.
Implement prediction store policy handling in Gates activity
- Added a new method `get_prediction_store_policy` to validate and parse the prediction store policy.
- Updated `format_prediction` method to utilize the new policy handling, allowing for sorting of predictions based on the specified policy.
- Enhanced test coverage for the new policy handling, including various scenarios for valid and invalid policies.
- Removed the obsolete `coverage.sh` script.
Refactor OpcRepository and update tests for async handling
- Removed the shutdown method from OpcRepository and adjusted the disconnect logic.
- Updated tests in test_activities.py and test_opc.py to support async shutdown functionality.
- Enhanced test cases in test_opc_repository.py to ensure proper async behavior and error handling in OpcRepository methods.
Revert image tag in values.yaml to 0.4.4 and rename shutdown method in OpcRepository class
- Changed image tag in values.yaml from 0.4.5 back to 0.4.4.
- Renamed __del__ method to shutdown in OpcRepository for clarity.
- Enhanced connection validation logic in OpcRepository to improve error handling and logging.
Update values.yaml and enhance logging in OPC activity
- Change replicaCount from 5 to 1 for reduced resource allocation.
- Update image tag in values.yaml to 0.4.5 for the latest version.
- Modify GITHUB_BRANCH environment variable for improved async handling.
- Add logging statements in OPC class to track server initialization and connection status.
- Expanded the .env file with configurations for MongoDB, Postgres, MlFlow, and Temporal.
- Refactored OPC class methods to be asynchronous, including init_opc, write_data, manage_output_tags, and shutdown.
- Updated the worker to initialize OPC asynchronously and adjusted shutdown handling for activities.
Refactor OpcRepository and update tests for async handling
- Removed the shutdown method from OpcRepository and adjusted the disconnect logic.
- Updated tests in test_activities.py and test_opc.py to support async shutdown functionality.
- Enhanced test cases in test_opc_repository.py to ensure proper async behavior and error handling in OpcRepository methods.
Revert image tag in values.yaml to 0.4.4 and rename shutdown method in OpcRepository class
- Changed image tag in values.yaml from 0.4.5 back to 0.4.4.
- Renamed __del__ method to shutdown in OpcRepository for clarity.
- Enhanced connection validation logic in OpcRepository to improve error handling and logging.
Update values.yaml and enhance logging in OPC activity
- Change replicaCount from 5 to 1 for reduced resource allocation.
- Update image tag in values.yaml to 0.4.5 for the latest version.
- Modify GITHUB_BRANCH environment variable for improved async handling.
- Add logging statements in OPC class to track server initialization and connection status.
- Expanded the .env file with configurations for MongoDB, Postgres, MlFlow, and Temporal.
- Refactored OPC class methods to be asynchronous, including init_opc, write_data, manage_output_tags, and shutdown.
- Updated the worker to initialize OPC asynchronously and adjusted shutdown handling for activities.
Update requirements and modify MLFlow activity
- Bump sientia-mlops-library version in requirements.txt from 0.38.5 to 0.38.8.
- Comment out the reset_index call in the MLFlow activity to prevent unintended data manipulation.
Enhance test cases by adding 'datetime_columns' to input data for MinimalRetrain and PredictionsBatch workflows. This improves metadata handling in asynchronous tests.
Update dependencies and enhance datetime handling
- Bump sientia-dataops-library version in requirements.txt to 1.4.4.
- Update image tag in values.yaml to 0.4.4.
- Add 'datetime_columns' to metadata in MinimalRetrain and PredictionsBatch workflows for improved data handling.
