# TODO: Refactoring Legal Position AI Analyzer ## Status: Phase 2 COMPLETED ✅ + Prompt Editing Feature ✅ **Останнє оновлення:** 2025-12-28 --- ## ✨ НОВЕ: Prompt Editing Feature (COMPLETED ✅) ### Реалізовано 2025-12-28: - [x] Розширено UserSessionState з полем custom_prompts - [x] Додано методи get_prompt(), set_prompt(), reset_prompts() - [x] Оновлено серіалізацію (to_dict/from_dict) - [x] Інтегровано Session Manager з Gradio інтерфейсом - [x] Додано вкладку "⚙️ Налаштування" з редакторами промптів - [x] Реалізовано save_custom_prompts() для збереження - [x] Реалізовано reset_prompts_to_default() для скидання - [x] Реалізовано load_session_prompts() для завантаження - [x] Оновлено generate_legal_position() для підтримки кастомних промптів - [x] Оновлено всі AI провайдери (OpenAI, Anthropic, Gemini, DeepSeek) - [x] Написано повну документацію (PROMPT_EDITING.md) - [x] Написано швидкий старт (QUICK_START_PROMPTS.md) - [x] Створено архітектурну схему (ARCHITECTURE.md) - [x] Оновлено README.md з детальною інформацією - [x] Створено CHANGES.md з повним changelog ### Можливі покращення в майбутньому: - [ ] Експорт/імпорт промптів у JSON/YAML формат - [ ] Бібліотека готових шаблонів промптів - [ ] Версіонування промптів (історія змін) - [ ] A/B тестування різних промптів з метриками - [ ] Адміністративна панель для глобальних промптів - [ ] Можливість шерингу промптів між користувачами - [ ] Автоматичне збереження вдалих промптів - [ ] Рекомендації по покращенню промптів на основі AI --- ## Phase 1: YAML Configuration (HIGH PRIORITY) ### 1.1 Create configuration structure - [x] Create config/ directory - [x] Create config/__init__.py - [x] Create config/environments/ directory - [x] Create config/environments/default.yaml - [x] Create config/environments/development.yaml - [x] Create config/environments/production.yaml ### 1.2 Pydantic models - [x] Create config/settings.py with Pydantic models - [x] AppConfig - general app settings - [x] AWSConfig - AWS/S3 settings - [x] LlamaIndexConfig - LlamaIndex settings - [x] ModelConfig - models configuration - [x] SessionConfig - session settings - [x] LoggingConfig - logging settings - [x] Settings - main configuration class ### 1.3 Configuration loader - [ ] Create config/loader.py - [ ] ConfigLoader class with load_yaml() method - [ ] merge_configs() method (default + environment) - [ ] validate_config() method - [ ] Support environment variables in YAML ### 1.4 Validator - [x] Create config/validator.py - [x] Validate required fields - [x] Validate API keys - [x] Validate file paths - [x] Validate models ### 1.5 Refactor config.py - [ ] Remove hardcoded values - [ ] Keep only Enum classes - [ ] Add get_settings() function - [ ] Update validate_environment() - [ ] Update imports in other files --- ## Phase 2: Session Management (HIGH PRIORITY) ### 2.1 Create session structure - [ ] Create src/ directory - [ ] Create src/session/ directory - [ ] Create src/session/__init__.py ### 2.2 Session manager - [x] Create src/session/manager.py - [x] SessionManager class with get_session() method - [x] cleanup_session() method - [x] cleanup_expired_sessions() background task - [x] Thread-safe operations with asyncio.Lock ### 2.3 Session state - [ ] Create src/session/state.py - [ ] UserSessionState dataclass - [ ] Fields: session_id, legal_position_json, search_nodes - [ ] Timestamps: created_at, last_activity - [ ] update_activity() method ### 2.4 Session storage - [x] Create src/session/storage.py - [x] BaseStorage abstract class - [x] MemoryStorage implementation - [x] RedisStorage implementation (optional) - [x] Storage factory ### 2.5 Update interface.py - [ ] Add SessionManager initialization - [ ] Add session_id State for each user - [ ] Update all handlers to use session-based state - [ ] Remove global state variables - [ ] Add session cleanup on disconnect --- ## Phase 3: Refactor main.py ### 3.1 Create LLM providers structure - [ ] Create src/llm/ directory - [ ] Create src/llm/__init__.py ### 3.2 Base LLM provider - [ ] Create src/llm/base.py - [ ] BaseLLMProvider abstract class - [ ] analyze() abstract method - [ ] generate() abstract method - [ ] Common error handling ### 3.3 Specific providers - [ ] Create src/llm/openai.py - OpenAIProvider - [ ] Create src/llm/anthropic.py - AnthropicProvider - [ ] Create src/llm/gemini.py - GeminiProvider - [ ] Create src/llm/deepseek.py - DeepSeekProvider ### 3.4 LLM factory - [ ] Create src/llm/factory.py - [ ] LLMFactory class - [ ] create_provider() method - [ ] Provider registry ### 3.5 Create services - [ ] Create src/services/ directory - [ ] Create src/services/__init__.py - [ ] Create src/services/generation.py - GenerationService - [ ] Create src/services/search.py - SearchService - [ ] Create src/services/analysis.py - AnalysisService ### 3.6 Create workflows - [ ] Create src/workflows/ directory - [ ] Create src/workflows/__init__.py - [ ] Move PrecedentAnalysisWorkflow to src/workflows/precedent_analysis.py ### 3.7 Create storage - [ ] Create src/storage/ directory - [ ] Create src/storage/__init__.py - [ ] Create src/storage/s3.py - S3Storage - [ ] Create src/storage/local.py - LocalStorage ### 3.8 Update main.py - [ ] Remove LLMAnalyzer class (moved to providers) - [ ] Remove PrecedentAnalysisWorkflow (moved to workflows) - [ ] Remove generate_legal_position (moved to services) - [ ] Remove search functions (moved to services) - [ ] Remove analyze_action (moved to services) - [ ] Keep only initialization and app launch --- ## Phase 4: Error Handling and Logging ### 4.1 Custom exceptions - [ ] Create src/exceptions.py - [ ] LegalPositionError base exception - [ ] ConfigurationError - [ ] LLMProviderError - [ ] SearchError - [ ] SessionError ### 4.2 Logging configuration - [ ] Create src/logging_config.py - [ ] Setup logging from YAML config - [ ] Add file and console handlers - [ ] Add log rotation ### 4.3 Middleware - [ ] Create src/middleware/ directory - [ ] Create src/middleware/__init__.py - [ ] Create src/middleware/error_handler.py - [ ] Create src/middleware/rate_limiter.py ### 4.4 Update all modules - [ ] Add logging to all services - [ ] Add proper error handling - [ ] Add try-except blocks with custom exceptions --- ## Phase 5: Additional Improvements ### 5.1 Validation - [ ] Add Pydantic models for input validation - [ ] Validate user inputs in interface.py - [ ] Sanitize outputs ### 5.2 Testing - [ ] Create tests/ directory - [ ] Add pytest configuration - [ ] Write unit tests for services - [ ] Write integration tests - [ ] Add test coverage reporting ### 5.3 Documentation - [ ] Update README.md with new structure - [ ] Add docstrings to all classes and methods - [ ] Create API documentation - [ ] Add usage examples ### 5.4 Hugging Face optimization - [ ] Add health check endpoint - [ ] Optimize memory usage - [ ] Add graceful shutdown - [ ] Add performance monitoring - [ ] Test on Hugging Face Spaces ### 5.5 CI/CD - [ ] Create .github/workflows/ directory - [ ] Add GitHub Actions for testing - [ ] Add linting (flake8, mypy) - [ ] Add automatic deployment to Hugging Face --- ## Dependencies to add - [ ] pyyaml - for YAML configuration - [ ] pydantic - for configuration validation - [ ] pydantic-settings - for settings management - [ ] redis (optional) - for session storage - [ ] pytest - for testing - [ ] pytest-asyncio - for async tests - [ ] pytest-cov - for coverage - [ ] mypy - for type checking - [ ] flake8 - for linting --- ## Notes - Start with Phase 1 (YAML Configuration) - Then Phase 2 (Session Management) - critical for Hugging Face - Phase 3 can be done incrementally - Phases 4-5 are lower priority but important for production --- ## Current Progress - [x] Project analysis completed - [x] Refactoring plan created - [x] Phase 1: YAML Configuration - COMPLETED ✅