Update requirements and values for SIENTIAPDE-1193
- Bump sientia-dataops-library version from 1.4.1 to 1.4.2 in requirements.txt.
- Change GITHUB_BRANCH in values.yaml to reflect the new task SIENTIAPDE-1193 regarding datetime writing in temporal.
Update dependencies in requirements.txt and increment image tag in values.yaml
- Updated sientia-dataops-library dependency version from 1.4.0 to 1.4.1 in requirements.txt.
- Incremented image tag in values.yaml from 0.4.1 to 0.4.2.
Update dependencies and refactor logging imports for observability
- Updated the sientia-dataops-library dependency version to 1.4.0 in requirements.txt.
- Changed image tag in values.yaml from 0.3.2 to 0.4.1.
- Refactored logging imports across multiple files to use the new observability module instead of the temporal.utils.logger.
- Updated retry policy imports in workflow files to reflect the new module structure.
Update helm chart version in values.yaml and modify logging in worker.py
- Updated helm upgrade command in values.yaml to version 0.5.0-uat.
- Changed log message in worker.py to indicate the start of the SDK Metrics Server, while retaining the original log for the Temporal Client.
SIENTIAPDE-1174 Add SDK metrics configuration and update worker for telemetry
- Introduced sdk-metrics service in values.yaml with ClusterIP configuration.
- Updated worker.py to integrate SDK metrics telemetry using the new HTTP_SDK_METRICS_PORT environment variable.
- Enhanced Prometheus configuration to bind SDK metrics to the specified port.
Update dependencies and configuration for improved functionality
- Updated sientia-dataops-library version from 1.3.7 to 1.3.8 in requirements.txt.
- Changed GITHUB_BRANCH in values.yaml to reflect new testing focus: SIENTIAPDE-1169.
- Modified notification level in gates.py from WARNING to ERROR for better error handling.
SIENTIAPDE-1174 Update replica count and image tag in values.yaml
- Increased replicaCount from 1 to 3 for improved availability.
- Updated image tag from 0.3.1 to 0.3.2 for the latest features and fixes.
SIENTIAPDE-1174 Update tests.ipynb to normalize counter and rollout values, and fix MLFlowRepository initialization error
- Changed execution_count for a cell to null for consistency.
- Updated normalization logic for counter and rollout values to scale between -100 and 100.
- Fixed TypeError in MLFlowRepository initialization by ensuring the logger argument is provided.
SIENTIAPDE-1174 Update replica count and enhance logging in MLFlow
- Changed replicaCount in values.yaml from 3 to 1 for reduced resource usage.
- Added debug logging for prediction response data in MLFlow to improve traceability.
Update dependencies, modify replica count, and implement metrics tracking
- Updated sientia-dataops-library version from 1.3.5 to 1.3.7 in requirements.txt.
- Changed replicaCount in values.yaml from 5 to 3 and incremented image tag from 0.2.7 to 0.3.1.
- Added Prometheus metrics tracking in gates.py and worker.py, including a new write_metrics method.
- Configured Prometheus service and ServiceMonitor in values.yaml for metrics collection.
Update dependencies in requirements.txt and increment image tag in values.yaml
- Updated sientia-dataops-library version from 1.3.4 to 1.3.5 in requirements.txt.
- Incremented image tag in values.yaml from 0.2.5 to 0.2.7.
Update GITHUB_BRANCH in values.yaml and enhance error notification handling in MLFlow
- Changed GITHUB_BRANCH in values.yaml to reflect the new pipeline for alerts orchestration.
- Added NotificationLevel.ERROR to error notifications in MLFlow for retraining and production model updates.
- Updated tests to verify error notification levels for model management workflows.
Update GITHUB_BRANCH in values.yaml and refactor MLFlowRepository for model retraining
- Changed GITHUB_BRANCH in values.yaml to reflect the new pipeline for retraining.
- Refactored MLFlowRepository by introducing create_model_experiment and perform_model_retrain methods to streamline model retraining processes.
- Updated test cases to cover new functionalities and ensure proper error handling in model management workflows.
Update dependencies and enhance ML model retraining functionality
- Updated sientia-dataops-library version in requirements.txt from 1.3.3 to 1.3.4.
- Incremented image tag in values.yaml from 0.2.4 to 0.2.5 and added a new environment variable MONGODB_TTL_INDEX_HOURS.
- Introduced new methods in MLFlowRepository for model retraining and production model updates, including error handling and logging.
- Added retrain_model and update_production_model activities in mlflow.py to support model management workflows.
- Modified MongoDB connection settings in connectors_config.py for improved security and configuration flexibility.
Update GITHUB_BRANCH in values.yaml to reflect new stress testing branch and modify OPC error handling to set success flag instead of continuing on error.
Refactor OPC connection handling to improve error notifications and update GITHUB_BRANCH in values.yaml for MongoDB integration. Change requirements.txt to point to local dataops library path.
Update notification handler references to use CoreNotificationHandler and add MongoDB configuration to connectors. Update GITHUB_BRANCH in values.yaml for optimization tasks.
Update values.yaml to increase replicaCount to 5, change GITHUB_BRANCH to SIENTIAPDE-1141-criar-testes-de-carga, and adjust POSTGRES_MAX_CONNECTIONS to 30 for improved performance and testing.
SIENTIAPDE-1110 Refactor OPC activity to use server IDs instead of names, update values.yaml for OPC_ID, and enhance OpcRepository initialization for improved clarity and consistency.
