- Add ReadyQueueState TypedDict for type-safe queue serialization
- Add ready_queue attribute to GraphRuntimeState for initializing with pre-existing queue state
- Update GraphEngine to load ready_queue from GraphRuntimeState on initialization
- Implement proper type hints using ReadyQueueState for better type safety
- Add comprehensive tests for ready_queue loading functionality
The ready_queue is read-only after initialization and allows resuming workflow
execution with a pre-populated queue of nodes ready to execute.
Remove max_execution_time and max_execution_steps from ExecutionContext and GraphEngine since these limits are now handled by ExecutionLimitsLayer. This follows the separation of concerns principle by keeping execution limits as a cross-cutting concern handled by layers rather than embedded in core engine components.
Changes:
- Remove max_execution_time and max_execution_steps from ExecutionContext
- Remove these parameters from GraphEngine.__init__()
- Remove max_execution_time from Dispatcher
- Update workflow_entry.py to no longer pass these parameters
- Update all tests to remove these parameters
- Extract iterator variable retrieval and validation logic
- Separate empty iteration handling
- Create dedicated methods for iteration execution and result handling
- Improve type hints and use modern Python syntax
- Enhance code readability and maintainability
- Replace ValueError catch with generic Exception
- Use logger.exception for automatic traceback logging
- Abort on node creation failure instead of continuing
- Fixed isinstance() checks to properly handle None values by checking None separately
- Fixed typo in STRING type validation where 'output_name' was hardcoded as string instead of variable
- Updated error message format to be consistent and more informative
- Updated test assertion to match new error message format
Remove worker idle/active callbacks that caused severe lock contention.
Instead, use sampling-based monitoring where worker states are queried
on-demand during scaling decisions. This eliminates the performance
bottleneck caused by workers acquiring locks 10+ times per second.
Changes:
- Remove callback parameters from Worker class
- Add properties to expose worker idle state directly
- Update WorkerPool to query worker states without callbacks
- Maintain scaling functionality with better performance
-LAN-