SIENTIAPDE-1646 Refactor MLFlow tests and update artifact handling
- Enhanced test cases for MLFlow to improve clarity and accuracy in data handling.
- Updated references in tests to use 'evaluation_data.csv' and 'test_data.csv' instead of 'retrain_input.csv' and 'train_data.csv'.
- Introduced a new helper function for creating prediction frames to streamline test setup.
SIENTIAPDE-1646 Update prediction data handling in MLFlow
- Renamed the prediction column in the MLFlow retraining process to improve clarity and consistency in the output data.
SIENTIAPDE-1646 Enhance MLFlow retraining process and evaluation data handling
- Updated the MLFlow class to merge prediction data with retrain data for improved evaluation.
- Renamed target column to "target" and added a timestamp column to the evaluation data.
- Logged both retrain input and evaluation data as artifacts in MLFlow.
Enhance MLFlow reference data handling and testing
- Updated the artifact handling in MLFlow to prioritize 'retrain_input.csv' over 'train_data.csv' when resolving reference data.
- Introduced new methods for resolving artifact names and locating downloaded CSV files.
- Modified the `get_reference_data` method to improve artifact resolution and error handling.
- Expanded unit tests to cover scenarios for missing artifacts and preference logic between retrain and train data CSVs.
Update values.yaml to add MLFLOW environment variables
- Added MLFLOW_HOST and MLFLOW_PORT environment variables to values.yaml for tracking configuration.
Update values.yaml and connectors_config.py for runtime and environment variable changes
- Renamed the runtime entry from "single" to "legacy" in values.yaml for clarity.
- Updated the helm upgrade command comment in values.yaml to reflect the correct path for deployment.
- Changed the environment variable name from "MLFLOW_HOST" and "MLFLOW_PORT" to "MLFLOW_URL" in connectors_config.py for consistency.
Update values.yaml and worker.py for runtime installation logic
- Updated helm upgrade command version in values.yaml from 0.6.1 to 0.6.5 for deployment reference.
- Modified worker.py to adjust runtime installation logic, ensuring 'legacy' runtime is set to 'single' for compatibility.
Update values.yaml to change runtime configurations and GitHub branch
- Renamed runtime entries from list format to key-value pairs for "basic" and "single".
- Updated the GITHUB_BRANCH environment variable from "feature/SIENTIAPDE-1646-legacy-laborious-worker" to "main".
- Added a helm upgrade command comment for deployment reference.
Enhance MLFlow run ID resolution with error handling for missing and invalid source URIs
- Added checks in `get_model_run_id` method to raise exceptions for models with missing or invalid source URIs.
- Introduced new test cases to validate error handling for these scenarios.
- Updated `requirements-light.txt` to include `mlflow` as a dependency.
Update requirements and enhance OPC communication handling
- Updated `requirements-local.txt` to use the latest versions of `sientia-dataops-library` (1.12.1) and `sientia-model-library` (0.10.0).
- Improved documentation in `opc-communication.md` to clarify the transition from async to sync implementation and added details on error classification and reconnection behavior.
- Refactored `init_opc` method in `opc.py` to enhance connection handling and logging, ensuring independent server initialization.
- Enhanced validation and writing methods in `opc.py` to provide better feedback and error handling for OPC server operations.
- Updated `opc_repository.py` to improve error payload construction and session management metrics.
SIENTIAPDE-1646 Enhance OPC integration and E2E testing framework
- Updated .gitignore to exclude '.cursor/*' for better file management.
- Added new marker in pyproject.toml for E2E tests using OPC.
- Introduced async OPC server fixtures and improved connection handling in conftest.py.
- Enhanced error handling in OPC activities and added metrics for session management in metrics.py.
- Updated E2E tests to cover new OPC scenarios, including session errors and reconnect handling.
- Refactored helper functions to improve prediction assertion logic in helpers.py.
- Documented new OPC scenarios in scenarios.md for clarity on expected outcomes.
Refactor ModelMetrics to utilize DriftAnalysis for drift detection
- Replaced ModelAnalysis with DriftAnalysis in the ModelMetrics class to enhance drift detection capabilities.
- Updated method signatures and documentation to reflect the changes in target_name and return values.
- Adjusted data handling to ensure compatibility with the new analysis methods and improved clarity in the drift metrics dataframe preparation.
Update README, requirements, and E2E tests for improved configuration and functionality
- Enhanced the README with updated model configuration examples, including the addition of an alias for production.
- Removed the `requirements-light.txt` file and updated `requirements-local.txt` and `requirements.txt` to replace `asyncua` with `opcua`.
- Refactored E2E test scenarios to utilize scenario input files for better maintainability and clarity.
- Improved test coverage for MinIO offload functionality and added new helper functions for loading scenario inputs.
- Updated `values.yaml` to reflect new global configurations and environment variables for the laborious worker.
Update .gitignore, requirements, and enhance OPC UA error handling
- Added new entries to .gitignore for openspec and cursor directories.
- Updated sientia-dataops-library dependency version in requirements-light.txt from 1.10.4 to 1.12.0.
- Enhanced OPC UA communication by refining reconnect logic and error handling in opc_repository.py, including the introduction of a reconnect flag and improved session management.
- Updated tests to cover new reconnect scenarios and ensure robust error handling for protocol states.
Update values.yaml to rename worker references and adjust GitHub branch for SIENTIAPDE-1811. Changed nameOverride, fullnameOverride, and service account name to "sientia-laborious-legacy-worker" and updated the GITHUB_BRANCH value to "fix/SIENTIAPDE-1811".
Enhance OPC UA communication and metrics tracking
- Updated README.md to include new OPC UA Communication section and detailed metrics for session and write diagnostics.
- Added new metrics in laborious/metrics.py for tracking OPC UA session states and write attempts.
- Refactored OPC activity in laborious/activities/opc.py to handle session errors and improve error reporting.
- Updated e2e tests to cover new scenarios for OPC session/channel errors and reconnect handling.
- Modified .gitignore to include relatorio files and mlruns directory.
- Added ipykernel to requirements-dev.txt for Jupyter notebook support.
SIENTIAPDE-1646 Add new runtime configuration for single environment in values.yaml
- Introduced a new runtime named "single" with a replica count of 1.
- Added an environment variable "GITHUB_BRANCH" set to "0.4.2" for the new runtime.
Update .gitignore, requirements, and enhance OPC UA error handling
- Added new entries to .gitignore for openspec and cursor directories.
- Updated sientia-dataops-library dependency version in requirements-light.txt from 1.10.4 to 1.12.0.
- Enhanced OPC UA communication by refining reconnect logic and error handling in opc_repository.py, including the introduction of a reconnect flag and improved session management.
- Updated tests to cover new reconnect scenarios and ensure robust error handling for protocol states.
SIENTIAPDE-1646 Enhance OPC integration and E2E testing framework
- Updated .gitignore to exclude '.cursor/*' for better file management.
- Added new marker in pyproject.toml for E2E tests using OPC.
- Introduced async OPC server fixtures and improved connection handling in conftest.py.
- Enhanced error handling in OPC activities and added metrics for session management in metrics.py.
- Updated E2E tests to cover new OPC scenarios, including session errors and reconnect handling.
- Refactored helper functions to improve prediction assertion logic in helpers.py.
- Documented new OPC scenarios in scenarios.md for clarity on expected outcomes.
Update .gitignore and input_sample.json for improved configuration management
- Added new patterns to .gitignore to exclude 'mlruns/', 'relatorio*', and 'openspec/*' directories from version control.
- Updated the 'updated_at' date in input_sample.json to reflect a new timestamp for better tracking of schedule states.
SIENTIAPDE-1811 Implement OPC write error handling and refactor tag writing logic
- Introduced a new function `_apply_opc_write_error` to manage session and reconnect flags based on OPC write error responses.
- Refactored the `_write_tags_from_config` method to streamline the writing of OPC tags for both prediction and confidence data.
- Enhanced unit tests to cover various scenarios for OPC write errors, including session bad and reconnect in progress cases.
- Updated existing tests to validate the new logic and ensure robust error handling.
Update values.yaml to rename worker references and adjust GitHub branch for SIENTIAPDE-1811. Changed nameOverride, fullnameOverride, and service account name to "sientia-laborious-legacy-worker" and updated the GITHUB_BRANCH value to "fix/SIENTIAPDE-1811".
Enhance OPC UA testing framework and documentation
- Added a new marker in pyproject.toml for tests using the in-process OPC UA server.
- Updated opc-communication.md to clarify E2E test scenarios involving the real OPC server and mock server.
- Introduced an in-process asyncua OPC UA server fixture in conftest.py for E2E tests.
- Created a new fixture for activities using the real OpcRepository connected to the in-process server.
- Updated scenarios.md to include instructions for running OPC real-server tests.
Enhance OPC UA communication and metrics tracking
- Updated README.md to include new OPC UA Communication section and detailed metrics for session and write diagnostics.
- Added new metrics in laborious/metrics.py for tracking OPC UA session states and write attempts.
- Refactored OPC activity in laborious/activities/opc.py to handle session errors and improve error reporting.
- Updated e2e tests to cover new scenarios for OPC session/channel errors and reconnect handling.
- Modified .gitignore to include relatorio files and mlruns directory.
- Added ipykernel to requirements-dev.txt for Jupyter notebook support.
Refactor OPC and OpcRepository classes to remove logger dependency and streamline logging calls
- Removed logger attribute from OPC and OpcRepository classes, replacing direct logger calls with class methods for logging.
- Updated write_data method signatures to eliminate logger parameter, simplifying the interface.
- Adjusted related tests to reflect changes in method signatures and logging behavior.
Implement new scheduling configurations for model retraining and drift analysis in input_sample.json
- Added three new schedule configurations: `minimal-retrain-test-runtime`, `drift-test-runtime`, and `simple-metrics-test-runtime`.
- Each configuration includes parameters such as model ID, workflow type, frequency, and specific queries for data retrieval.
- Enhanced the structure to support active status and updated timestamps for better tracking of schedule states.
SIENTIAPDE-1646 Add new scheduling configurations and remove outdated documentation
- Introduced new scheduling configurations for minimal retrain, drift analysis, and simple metrics in `input_sample.json`.
- Removed obsolete documentation files related to drift analysis and E2E test reports to streamline project resources.
- Updated E2E tests for minimal retrain to enhance reporting and error handling during model retraining processes.
Refactor MLflow configuration to use environment variable for tracking URL
- Removed the `_build_mlflow_tracking_url` function and replaced its usage with `getenv` to directly retrieve the `MLFLOW_URL` environment variable.
- This change simplifies the configuration process by allowing users to specify the tracking URL directly through an environment variable.
SIENTIAPDE-1646 Update dependencies and refactor OPC integration
- Replaced `opcua` with `asyncua` in `requirements-local.txt` and `requirements.txt` to utilize the async capabilities.
- Updated `values.yaml` to change the GitHub branch from `feature/SIENTIAPDE-1646` to `release/SIENTIAPDE-1646`.
- Refactored `opc.py` and `opc_repository.py` to accommodate the new `asyncua` library, ensuring compatibility with the synchronous API.
- Adjusted tests in `test_opc_repository.py` to reflect changes in the client implementation and maintain functionality.
Update E2E test report and enhance drift analysis handling
- Updated the E2E test report metrics to reflect the latest test results, showing 47 collected tests with all passing.
- Removed outdated sections related to failed tests and their causes, streamlining the report.
- Implemented a regression fix in the drift analysis to handle empty merged frames, ensuring workflows skip export when no drift metrics are available.
- Enhanced the `insert_sample_data` and `insert_sample_prediction` functions to allow customizable timestamps for better test accuracy.
- Refactored E2E tests to improve clarity and maintainability, particularly in handling repeat scenarios with distinct timestamps.
Refactor ModelMetrics to utilize DriftAnalysis for drift detection
- Replaced ModelAnalysis with DriftAnalysis in the ModelMetrics class to enhance drift detection capabilities.
- Updated method signatures and documentation to reflect the changes in target_name and return values.
- Adjusted data handling to ensure compatibility with the new analysis methods and improved clarity in the drift metrics dataframe preparation.
Update README, requirements, and E2E tests for improved configuration and functionality
- Enhanced the README with updated model configuration examples, including the addition of an alias for production.
- Removed the `requirements-light.txt` file and updated `requirements-local.txt` and `requirements.txt` to replace `asyncua` with `opcua`.
- Refactored E2E test scenarios to utilize scenario input files for better maintainability and clarity.
- Improved test coverage for MinIO offload functionality and added new helper functions for loading scenario inputs.
- Updated `values.yaml` to reflect new global configurations and environment variables for the laborious worker.
Refactor MLFlow retraining logic to always use retrain method
- Removed the conditional logic for full retraining, ensuring the `retrain` method is always called.
- Updated the documentation in the `retrain_model` method to reflect the changes in retraining flow.
- Adjusted tests to verify that the `retrain` method is invoked correctly, while ensuring `train` is not called when the full retrain flag is set.
Update dependencies and refactor MLFlow activities
- Replaced direct GitHub dependencies in `requirements.txt` with specific versioned packages for `sientia_do` and `sientia_model`.
- Refactored imports in `activities.py` to streamline the code structure.
- Enhanced the `MLFlow` class in `mlflow.py` by introducing a method to resolve model aliases, improving flexibility in model lookups.
- Simplified shutdown logic in `worker.py` for better readability.
- Added new tests for MLFlow activities and improved existing test coverage for data handling and model retraining processes.
Enhance environment configuration and update dependencies
- Added new environment variables for PluginStore and MLflow configuration in `.env.example`, including `RUNTIME`, `STORE_BASE_URL`, `STORE_OWNER`, `STORE_REPO`, `STORE_BRANCH`, `STORE_USERNAME`, `STORE_PASSWORD`, `STORE_CACHE_TTL_SECONDS`, `PYPI_SERVER`, `PYPI_USERNAME`, and `PYPI_PASSWORD`.
- Updated `git-requirements-mapping.txt` to reflect changes in repository names.
- Modified `requirements-light.txt` and `requirements.txt` to upgrade `sientia-dataops-library` to version 1.12.0 and `sientia-mlops-library` to version 0.8.1.
- Updated `values.yaml` to include new environment variables for worker runtime and PluginStore configuration.
- Refactored E2E tests to utilize new MLflow repository stubs and PluginStore mocks for improved testing accuracy.
