[feat] Implement comprehensive batch tracking and OpenAPI-driven data models

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

comfyui_manager/data_models/README.md

@@ -0,0 +1,67 @@
+# Data Models
+
+This directory contains Pydantic models for ComfyUI Manager, providing type safety, validation, and serialization for the API and internal data structures.
+
+## Overview
+
+- `generated_models.py` - All models auto-generated from OpenAPI spec
+- `__init__.py` - Package exports for all models
+
+**Note**: All models are now auto-generated from the OpenAPI specification. Manual model files (`task_queue.py`, `state_management.py`) have been deprecated in favor of a single source of truth.
+
+## Generating Types from OpenAPI
+
+The state management models are automatically generated from the OpenAPI specification using `datamodel-codegen`. This ensures type safety and consistency between the API specification and the Python code.
+
+### Prerequisites
+
+Install the code generator:
+```bash
+pipx install datamodel-code-generator
+```
+
+### Generation Command
+
+To regenerate all models after updating the OpenAPI spec:
+
+```bash
+datamodel-codegen \
+  --use-subclass-enum \
+  --field-constraints \
+  --strict-types bytes \
+  --input openapi.yaml \
+  --output comfyui_manager/data_models/generated_models.py \
+  --output-model-type pydantic_v2.BaseModel
+```
+
+### When to Regenerate
+
+You should regenerate the models when:
+
+1. **Adding new API endpoints** that return new data structures
+2. **Modifying existing schemas** in the OpenAPI specification  
+3. **Adding new state management features** that require new models
+
+### Important Notes
+
+- **Single source of truth**: All models are now generated from `openapi.yaml`
+- **No manual models**: All previously manual models have been migrated to the OpenAPI spec
+- **OpenAPI requirements**: New schemas must be referenced in API paths to be generated by datamodel-codegen
+- **Validation**: Always validate the OpenAPI spec before generation:
+  ```bash
+  python3 -c "import yaml; yaml.safe_load(open('openapi.yaml'))"
+  ```
+
+### Example: Adding New State Models
+
+1. Add your schema to `openapi.yaml` under `components/schemas/`
+2. Reference the schema in an API endpoint response
+3. Run the generation command above
+4. Update `__init__.py` to export the new models
+5. Import and use the models in your code
+
+### Troubleshooting
+
+- **Models not generated**: Ensure schemas are under `components/schemas/` (not `parameters/`)
+- **Missing models**: Verify schemas are referenced in at least one API path
+- **Import errors**: Check that new models are added to `__init__.py` exports