- Eliminate TaskQueue.ExecutionStatus NamedTuple in favor of generated TaskExecutionStatus Pydantic model
- Remove manual conversion logic between NamedTuple and Pydantic model
- Use single source of truth for task execution status
- Clean up unused imports (Literal, NamedTuple)
- Maintain consistent data model usage throughout TaskQueue
- Replace deprecated openapi-spec-validator with @redocly/cli
- Remove fragile custom regex-based route alignment script
- Use industry-standard OpenAPI validation tooling
- Switch from Python to Node.js for validation pipeline
- New validation catches 41 errors and 141 warnings that old validator missed
- Updated all POST endpoints to use proper Pydantic model validation:
- `/v2/manager/queue/task` - validates QueueTaskItem
- `/v2/manager/queue/install_model` - validates ModelMetadata
- `/v2/manager/queue/reinstall` - validates InstallPackParams
- `/v2/customnode/import_fail_info` - validates cnr_id/url fields
- Added proper error handling with ValidationError for detailed error messages
- Updated TaskQueue.put() to handle both dict and Pydantic model inputs
- Added missing imports: InstallPackParams, ModelMetadata, ValidationError
Benefits:
- Early validation catches invalid data at API boundaries
- Better error messages for clients with specific validation failures
- Type safety throughout the request processing pipeline
- Consistent validation behavior across all endpoints
All ruff checks pass and validation is now enabled by default.
Enhances ComfyUI Manager with robust batch execution tracking and unified data model architecture:
- Implemented automatic batch history serialization with before/after system state snapshots
- Added comprehensive state management capturing installed nodes, models, and ComfyUI version info
- Enhanced task queue with proper client ID handling and WebSocket notifications
- Migrated all data models to OpenAPI-generated Pydantic models for consistency
- Added documentation for new TaskQueue methods (done_count, total_count, finalize)
- Fixed 64 linting errors with proper imports and code cleanup
Technical improvements:
- All models now auto-generated from openapi.yaml ensuring API/implementation consistency
- Batch tracking captures complete system state at operation start and completion
- Enhanced REST endpoints with comprehensive documentation
- Removed manual model files in favor of single source of truth
- Added helper methods for system state capture and batch lifecycle management
- Add client_id field to QueueTaskItem and TaskHistoryItem models
- Implement client-specific WebSocket message routing
- Add client filtering to queue status and history endpoints
- Follow ComfyUI patterns for session management
- Create data_models package for better code organization
Add a custom node to quickly create empty latents in common resolutions and aspect ratios for SD 1.5, SDXL, Flux, Chroma, and HiDream. Choose from curated presets or generate by axis and aspect ratio. Appears in the 'latent' node group.
bymyself