138 lines
4.5 KiB
Markdown
138 lines
4.5 KiB
Markdown
# Story Writer Backend Migration - Complete ✅
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## Summary
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Successfully migrated story generation code from `ToBeMigrated/ai_writers/ai_story_writer/` to production backend structure with minimal rewriting. All code has been adapted to use `main_text_generation` and subscription system.
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## What Was Created
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### 1. Service Layer (`backend/services/story_writer/`)
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- ✅ `story_service.py` - Core story generation logic
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- Migrated from `ai_story_generator.py`
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- Updated imports to use `main_text_generation`
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- Added `user_id` parameter for subscription support
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- Removed Streamlit dependencies
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- Modular methods: `generate_premise`, `generate_outline`, `generate_story_start`, `continue_story`, `generate_full_story`
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### 2. API Layer (`backend/api/story_writer/`)
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- ✅ `router.py` - RESTful API endpoints
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- Synchronous endpoints for premise, outline, start, continue
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- Asynchronous endpoint for full story generation with task management
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- Task status and result endpoints
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- Cache management endpoints
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- ✅ `task_manager.py` - Async task execution and tracking
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- Background task execution
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- Progress tracking
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- Status management
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- ✅ `cache_manager.py` - Result caching
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- Cache key generation
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- Cache statistics
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- Cache clearing
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### 3. Models (`backend/models/story_models.py`)
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- ✅ Pydantic models for all requests and responses
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- ✅ Type-safe API contracts
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### 4. Router Registration
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- ✅ Added to `alwrity_utils/router_manager.py` in optional routers section
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- ✅ Automatic registration on app startup
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## Key Changes Made
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### Import Updates
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```python
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# Before (Legacy)
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from ...gpt_providers.text_generation.main_text_generation import llm_text_gen
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# After (Production)
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from services.llm_providers.main_text_generation import llm_text_gen
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```
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### Subscription Integration
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```python
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# Before
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def generate_with_retry(prompt, system_prompt=None):
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return llm_text_gen(prompt, system_prompt)
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# After
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def generate_with_retry(prompt, system_prompt=None, user_id: str = None):
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if not user_id:
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raise RuntimeError("user_id is required")
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return llm_text_gen(prompt=prompt, system_prompt=system_prompt, user_id=user_id)
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```
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### Error Handling
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- Added HTTPException handling for subscription limits (429)
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- Proper error propagation
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- Comprehensive logging
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### Removed Dependencies
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- Removed Streamlit (`st.info`, `st.error`, etc.)
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- Removed UI-specific code
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- Kept core business logic intact
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## API Endpoints Available
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### Story Generation
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- `POST /api/story/generate-premise` - Generate premise
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- `POST /api/story/generate-outline` - Generate outline
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- `POST /api/story/generate-start` - Generate story start
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- `POST /api/story/continue` - Continue story
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- `POST /api/story/generate-full` - Full story (async)
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### Task Management
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- `GET /api/story/task/{task_id}/status` - Task status
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- `GET /api/story/task/{task_id}/result` - Task result
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### Cache
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- `GET /api/story/cache/stats` - Cache statistics
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- `POST /api/story/cache/clear` - Clear cache
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## Project Structure
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```
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backend/
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├── services/
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│ └── story_writer/
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│ ├── __init__.py
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│ ├── story_service.py ✅ Core logic (migrated)
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│ └── README.md
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├── api/
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│ └── story_writer/
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│ ├── __init__.py
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│ ├── router.py ✅ API endpoints
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│ ├── task_manager.py ✅ Async tasks
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│ └── cache_manager.py ✅ Caching
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├── models/
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│ └── story_models.py ✅ Pydantic models
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└── alwrity_utils/
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└── router_manager.py ✅ Router registration
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```
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## Testing Checklist
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- [ ] Test premise generation endpoint
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- [ ] Test outline generation endpoint
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- [ ] Test story start generation endpoint
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- [ ] Test story continuation endpoint
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- [ ] Test full story generation (async)
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- [ ] Test task status polling
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- [ ] Test subscription limits (429 errors)
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- [ ] Test with both Gemini and HuggingFace providers
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- [ ] Test cache functionality
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- [ ] Verify error handling
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## Next Steps
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1. **Frontend Implementation** - Build React UI with CopilotKit integration
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2. **Testing** - Add unit and integration tests
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3. **Documentation** - API documentation and usage examples
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4. **Illustration Support** - Migrate story illustrator (Phase 2)
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## Notes
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- All existing logic preserved - only imports and subscription integration changed
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- No breaking changes to story generation algorithm
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- Follows same patterns as Blog Writer for consistency
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- Ready for frontend integration
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