Refactor MongoDB, Redis, and Gates classes to extend SientiaMonitoring instead of BaseActivity. Update requirements to point to local dataops library path. Implement repository pattern for MongoDB and Redis operations, enhancing code organization and maintainability.
Implement tag value registration in Gates activity and update related tests. Enhanced the write_metrics method to process and register tag values, improving metrics tracking. Adjusted tests to validate new functionality.
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.
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.
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.
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.
Update sientia-dataops-library version to 1.2.0 in requirements.txt; refactor logging in activities to use a unified Logger instance and include metadata in log messages across various activities.
Update environment configuration and refactor activity imports
- Changed Kafka, Redis, and Temporal host configurations to use localhost.
- Updated the version reference for the sientia-dataops-library in requirements.txt.
- Refactored import paths for activities to align with new module structure.
- Removed unused base.py and postgres.py files.
- Updated logger and policies imports to reflect new module locations.
- Adjusted values.yaml for branch and log level settings.
Implement workflows for fake data generation, scouter processing, and core scouter operations
- Added `FakeData` workflow to generate random data and send it to a Kafka topic.
- Implemented `Scouter` workflow to load data from Kafka and trigger the core scouter workflow.
- Created `CoreScouter` workflow to process data through quality gates, aggregation, and export to PostgreSQL.
- Developed comprehensive unit tests for activities and workflows, ensuring proper functionality and error handling.
- Enhanced Redis and Postgres activities with robust testing for data handling and error notifications.
- Introduced quality filters for data validation and implemented tests to verify their functionality.
