Update Redis and CoreScouter to incorporate 'fill_missing_tags' parameter in data processing. Adjusted related tests to ensure proper handling of missing tags, enhancing overall functionality and consistency across workflows.
SIENTIAPDE-1318: Add 'fill_missing_tags' parameter to CoreScouter for enhanced tag handling in data processing. This update allows for the specification of missing tags during workflow execution.
SIENTIAPDE-1318: Add support for filling missing tags in Redis data processing. Enhanced the Redis class to include a new parameter for handling missing tags, ensuring that absent tags are filled with None in the data package.
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.
SIENTIAPDE-1084: Refactor apply_aggregation method in Gates class for improved performance and clarity. Changed parameter name from 'group' to 'values', optimized aggregation logic, and enhanced error handling for invalid functions. Streamlined data processing by reducing unnecessary operations and added batch debug logging.
Remove deprecated files and configurations, including .env, Dockerfile, docker-compose.yml, and client-schedule.py. Update README.md to reflect new architecture and features, enhancing clarity on system capabilities and workflows. Adjust values.yaml for image tag and replica count, and improve code documentation across various modules for better maintainability.
Refactor timestamp handling in CoreScouter workflow by updating to DATETIME_FORMAT_WITH_TZ, ensuring consistency with recent changes in datetime management.
Enhance timestamp handling in Redis and CoreScouter workflows by updating to DATETIME_FORMAT_MS_WITH_TZ. Modify tests to reflect new timestamp format, ensuring consistency across data structures and improving overall datetime management.
Refactor Redis activity to utilize the new 'now' function for timestamp generation, ensuring consistency with updated datetime handling. This change replaces the direct use of 'datetime.now()' with 'now()' from the temporal constants.
Update sientia-dataops-library version to 1.4.3 and refactor timestamp handling in MongoDB and Redis activities to use DATETIME_FORMAT constants for improved consistency. Enhance unit tests to reflect these changes.
Update requirements and core scouter workflow: comment out old dataops library dependency, change default namespace in worker.py, and enhance timestamp handling in core_scouter.py with DATETIME_FORMAT.
Refactor logging in worker.py to use custom_info and custom_error methods, enhancing log metadata with pod and workflow details for improved observability.
Enhance logging in Gates, MongoDB, and Redis activities by replacing debug statements with info level logs, improving observability of data processing steps. Update worker configuration to adjust concurrency settings and enable autoscaling for task polling.
Update dependencies and improve observability by changing logger imports. Bump sientia-dataops-library version to 1.4.1 and update image tag to 0.4.2 in values.yaml.
Enable SDK metrics service in values.yaml and update worker.py to initialize SDK metrics server with Prometheus configuration, enhancing observability of the application.
Update image tag to 0.4.0 in values.yaml, modify GITHUB_BRANCH for SIENTIAPDE-1169, and enhance Redis activity to handle model tags for improved data retention.
Update requirements for sientia-dataops-library to version 1.3.7, add ServiceMonitor configuration for Prometheus in values.yaml, and refactor pod_id usage in Gates and Redis activities for improved consistency in metric tracking.
SIENTIAPDE-1174 Add pod_id initialization in Activities class and update Scouter to reference it for improved consistency in environment variable handling.
Update replica count in values.yaml, add application status metrics in metrics.py, and implement Prometheus server in worker.py for enhanced observability.
Update sonar-project.properties to exclude worker.py from coverage, enhance error handling in worker.py, and add new tests for error scenarios in test_redis.py and test_mongo.py.
Implement store_data_package method in Redis activity for debug data storage. Update CoreScouter workflow to conditionally call store_data_package based on debug flag. Enhance tests for store_data_package functionality and error handling.
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.
Refactor Activities class to remove Kafka and Druid dependencies, simplifying initialization. Update values.yaml to set replica count to 1 for reduced resource usage. Adjust Redis activity to set TTL to None for better data retention. Remove unused Kafka and Druid activity files and their associated tests, streamlining the codebase.
Refactor Scouter workflow to update data loading method, changing from load_latest_druid_data to load_latest_data. Adjusted parameters for consistency in collection naming and improved clarity in data retrieval process.
Update Druid configuration in values.yaml to change port from 8081 to 8888. Refactor pydruid.py to use druid_engine for SQLAlchemy connections, enhancing clarity and consistency in data loading operations.
Update Druid activity to handle None values for last data timestamp, ensuring default timestamp is set to epoch start. Enhance data loading debug logging for improved traceability.
Enhance Druid activity by adding configuration for Druid host and port in values.yaml. Refactor data loading logic to utilize SQLAlchemy for querying Druid, improving query efficiency and readability. Update timestamp handling to streamline data retrieval process.