ALwrity/docs/STORY_WRITER_BACKEND_MIGRATION_COMPLETE.md

Story Writer Backend Migration - Complete ✅

Summary

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.

What Was Created

1. Service Layer (backend/services/story_writer/)

• ✅ story_service.py - Core story generation logic
  • Migrated from ai_story_generator.py
  • Updated imports to use main_text_generation
  • Added user_id parameter for subscription support
  • Removed Streamlit dependencies
  • Modular methods: generate_premise, generate_outline, generate_story_start, continue_story, generate_full_story

2. API Layer (backend/api/story_writer/)

• ✅ router.py - RESTful API endpoints
  • Synchronous endpoints for premise, outline, start, continue
  • Asynchronous endpoint for full story generation with task management
  • Task status and result endpoints
  • Cache management endpoints
• ✅ task_manager.py - Async task execution and tracking
  • Background task execution
  • Progress tracking
  • Status management
• ✅ cache_manager.py - Result caching
  • Cache key generation
  • Cache statistics
  • Cache clearing

3. Models (backend/models/story_models.py)

• ✅ Pydantic models for all requests and responses
• ✅ Type-safe API contracts

4. Router Registration

• ✅ Added to alwrity_utils/router_manager.py in optional routers section
• ✅ Automatic registration on app startup

Key Changes Made

Import Updates

# Before (Legacy)
from ...gpt_providers.text_generation.main_text_generation import llm_text_gen

# After (Production)
from services.llm_providers.main_text_generation import llm_text_gen

Subscription Integration

# Before
def generate_with_retry(prompt, system_prompt=None):
    return llm_text_gen(prompt, system_prompt)

# After
def generate_with_retry(prompt, system_prompt=None, user_id: str = None):
    if not user_id:
        raise RuntimeError("user_id is required")
    return llm_text_gen(prompt=prompt, system_prompt=system_prompt, user_id=user_id)

Error Handling

• Added HTTPException handling for subscription limits (429)
• Proper error propagation
• Comprehensive logging

Removed Dependencies

• Removed Streamlit (st.info, st.error, etc.)
• Removed UI-specific code
• Kept core business logic intact

API Endpoints Available

Story Generation

• POST /api/story/generate-premise - Generate premise
• POST /api/story/generate-outline - Generate outline
• POST /api/story/generate-start - Generate story start
• POST /api/story/continue - Continue story
• POST /api/story/generate-full - Full story (async)

Task Management

• GET /api/story/task/{task_id}/status - Task status
• GET /api/story/task/{task_id}/result - Task result

Cache

• GET /api/story/cache/stats - Cache statistics
• POST /api/story/cache/clear - Clear cache

Project Structure

backend/
├── services/
│   └── story_writer/
│       ├── __init__.py
│       ├── story_service.py      ✅ Core logic (migrated)
│       └── README.md
├── api/
│   └── story_writer/
│       ├── __init__.py
│       ├── router.py              ✅ API endpoints
│       ├── task_manager.py        ✅ Async tasks
│       └── cache_manager.py       ✅ Caching
├── models/
│   └── story_models.py            ✅ Pydantic models
└── alwrity_utils/
    └── router_manager.py          ✅ Router registration

Testing Checklist

• Test premise generation endpoint
• Test outline generation endpoint
• Test story start generation endpoint
• Test story continuation endpoint
• Test full story generation (async)
• Test task status polling
• Test subscription limits (429 errors)
• Test with both Gemini and HuggingFace providers
• Test cache functionality
• Verify error handling

Next Steps

1. Frontend Implementation - Build React UI with CopilotKit integration
2. Testing - Add unit and integration tests
3. Documentation - API documentation and usage examples
4. Illustration Support - Migrate story illustrator (Phase 2)

Notes

• All existing logic preserved - only imports and subscription integration changed
• No breaking changes to story generation algorithm
• Follows same patterns as Blog Writer for consistency
• Ready for frontend integration