Updated Release Notes for v0.2.0 #10
Description
Release v0.2.0
Major Architectural Changes
1. Distributed Task Processing with Celery
- Implemented a robust Celery-based task processing system
- Added a custom DatabaseScheduler for reliable task scheduling
- Integrated Redis as the message broker and result backend
- Enhanced scheduler reliability with database-backed persistence
- Added worker management with foreground execution mode
- Implemented retry mechanisms and error handling for tasks
2. Multi-Source LangFlow Integration
- Added comprehensive workflow source management
- Support for multiple LangFlow instances
- New API endpoints for managing workflow sources
- Enhanced remote flows API integration
- Improved workflow synchronization across sources
3. Workflow Management
- Complete refactor from flows to workflows architecture
- Added LangFlowManager for workflow execution
- Enhanced workflow scheduling with one-time and recurring schedules
- Improved workflow input handling and validation
- Added workflow component management
- Enhanced workflow deletion with proper cleanup of related objects
Infrastructure & Performance
- Integrated Redis for improved task queue management
- Consolidated timezone configuration (AUTOMAGIK_TIMEZONE)
- Enhanced database initialization and migrations
- Improved setup process with Docker integration
- Better error handling and logging throughout the system
API Enhancements
- New endpoints for workflow source management
- Enhanced workflow management endpoints
- Improved task management and monitoring
- Better error handling for invalid component responses
CLI Improvements
- Added worker logs command for better debugging
- Enhanced schedule list command
- Improved workflow sync command with source name support
- Better task management commands
- Enhanced error reporting and user feedback
Bug Fixes
- Fixed scheduling one-time creation issues
- Improved workflow deletion functionality
- Fixed workflow sync and execution issues
- Resolved greenlet errors in workflow sync
- Fixed various task execution and scheduling issues
Code Quality & Testing
- Extensive test coverage for new features
- Improved test structure and organization
- Enhanced error handling and logging
- Better code organization and modularity
- Consolidated version management
Breaking Changes
The transition from flows to workflows architecture introduces some breaking changes:
- Workflow API endpoints have changed
- Task execution model has been updated
- Configuration structure has been modified
Migration Guide
- Update your configurations to use the new AUTOMAGIK_TIMEZONE setting
- Migrate your existing flows to the new workflow structure
- Update any custom integrations to use the new API endpoints
- Configure Redis for Celery integration
Dependencies
Added new required dependencies:
- Celery for distributed task processing
- Redis for message broker and result backend
- Additional Python packages for enhanced functionality
See pyproject.toml for the complete list of dependencies.