android-mcp

# Android TRD Generation Feature - Technical Requirements Document Generation **Feature Version**: v1.0 (Planned) **Status**: ✅ COMPLETE **Priority**: High **Target Platform**: Android ## 📋 Feature Overview The Android TRD (Technical Requirements Document) Generation feature extends the existing PRD workflow to automatically generate comprehensive technical specifications for Android applications. This feature transforms business requirements captured in PRDs into detailed technical implementation guides. ### Current Workflow Enhancement ``` Audio File → Transcription → Key Points → PRD → **Android TRD** → Download TRD (.md) ``` ## 🎯 Feature Requirements ### Functional Requirements - **FR-1**: Generate Android TRD from existing PRD content - **FR-2**: Support 7-section standard TRD template structure - **FR-3**: Provide moderate technical detail level (high-level architecture + component overview) - **FR-4**: Integrate seamlessly with existing PRD workflow - **FR-5**: Export TRD as downloadable markdown file - **FR-6**: Validate TRD content completeness and quality ### Non-Functional Requirements - **NFR-1**: Response time < 30 seconds for TRD generation - **NFR-2**: Support PRD inputs up to 10,000 characters - **NFR-3**: Maintain 95% uptime for TRD generation service - **NFR-4**: Generate TRDs with consistent formatting and structure ## 🏗️ Technical Architecture ### Service Layer Extensions #### OpenAI Service (`services/openai_service.py`) ```python class OpenAIService: def generate_android_trd_from_prd(self, prd_content: str) -> str: """ Generate Android TRD from PRD content using OpenAI GPT. Args: prd_content (str): Complete PRD markdown content Returns: str: Generated Android TRD in markdown format """ ``` #### File Service (`services/file_service.py`) ```python class FileService: def create_trd_download_file(self, trd_content: str) -> str: """Create downloadable TRD file with proper naming.""" def validate_trd_content(self, trd_content: str) -> tuple[bool, str]: """Validate TRD content completeness and structure.""" ``` ### Configuration Extensions #### Environment Variables ```env # TRD Generation Configuration ENABLE_TRD_GENERATION=true TRD_OPENAI_MODEL=gpt-4 TRD_MAX_TOKENS=3000 TRD_TEMPERATURE=0.2 TRD_FILE_PREFIX=TRD_Android_ ``` #### Constants (`config/constants.py`) ```python TRD_SECTIONS = [ "Architecture Overview", "UI/UX Specifications", "API Requirements", "Database Schema", "Security Requirements", "Performance Requirements", "Testing Strategy" ] ``` ## 📋 Android TRD Template Structure ### 1. Architecture Overview **Purpose**: Define the high-level system architecture and core components **Content Includes**: - **App Architecture Pattern** (MVVM, MVP, Clean Architecture) - **Core Components** (Activities, Fragments, Services, Repositories) - **Data Flow** (User interactions → ViewModels → Repositories → APIs/Database) - **Third-party Libraries** (Retrofit, Room, Dagger/Hilt, etc.) - **Module Structure** (Feature modules, shared modules) **Example Output**: ```markdown ## Architecture Overview ### App Architecture Pattern - **Pattern**: MVVM (Model-View-ViewModel) with Clean Architecture principles - **Rationale**: Separation of concerns, testability, maintainability ### Core Components - **Activities**: Main container activities for feature modules - **Fragments**: Individual screen implementations - **ViewModels**: Business logic and state management - **Repositories**: Data access abstraction layer - **Use Cases**: Business logic encapsulation ``` ### 2. UI/UX Specifications **Purpose**: Define user interface components and user experience flows **Content Includes**: - **Screen Hierarchy** (Main screens and navigation flow) - **UI Components** (Custom views, layouts, themes) - **User Interactions** (Touch events, gestures, input handling) - **Responsive Design** (Different screen sizes, orientations) - **Material Design** (Components, theming, accessibility) ### 3. API Requirements **Purpose**: Specify backend integration and network communication **Content Includes**: - **REST Endpoints** (CRUD operations, authentication endpoints) - **Data Models** (Request/Response objects, serialization) - **Network Layer** (HTTP client configuration, error handling) - **Authentication** (Token management, refresh mechanisms) - **Error Handling** (Network failures, timeout strategies) ### 4. Database Schema **Purpose**: Define local data storage and management **Content Includes**: - **Local Database** (Room entities, DAOs, database structure) - **Data Relationships** (One-to-many, many-to-many relationships) - **Caching Strategy** (Offline support, data synchronization) - **Migration Strategy** (Database version management) - **Data Models** (Entity definitions, type converters) ### 5. Security Requirements **Purpose**: Specify security measures and data protection **Content Includes**: - **Data Encryption** (Local storage, network communication) - **Authentication Flow** (Login, logout, session management) - **Permission Handling** (Runtime permissions, security policies) - **Code Obfuscation** (ProGuard/R8 configuration) - **API Security** (Token validation, request signing) ### 6. Performance Requirements **Purpose**: Define performance targets and optimization strategies **Content Includes**: - **Response Times** (API calls, UI interactions, startup time) - **Memory Management** (Heap usage, garbage collection optimization) - **Battery Optimization** (Background tasks, wake locks) - **Network Efficiency** (Request batching, caching strategies) - **UI Performance** (60fps target, smooth animations) ### 7. Testing Strategy **Purpose**: Define comprehensive testing approach **Content Includes**: - **Unit Testing** (Business logic, ViewModels, Repositories) - **Integration Testing** (API integration, database operations) - **UI Testing** (Espresso tests, user flow validation) - **Performance Testing** (Memory leaks, ANR detection) - **Test Coverage** (Minimum coverage requirements) ## 🔧 Implementation Plan ### Phase 1: Core TRD Service Implementation (2-3 days) #### 1.1 OpenAI Service Extension - [x] Add `generate_android_trd_from_prd()` method - [x] Create Android-specific TRD prompt template - [x] Implement 7-section TRD structure generation - [x] Add error handling and validation - [x] Test with sample PRD inputs #### 1.2 File Service Extension - [x] Add `create_trd_download_file()` method - [x] Add `validate_trd_content()` method - [x] Implement TRD file naming convention - [x] Add TRD-specific file operations - [x] Test file creation and validation #### 1.3 Configuration Updates - [x] Add TRD environment variables - [x] Update constants with TRD sections - [x] Add configuration validation - [x] Update settings documentation ### Phase 2: UI Integration (2-3 days) #### 2.1 UI Components - [x] Create `create_trd_output()` component - [x] Create `create_generate_trd_button()` component - [x] Update ComponentFactory with TRD components - [x] Add TRD download functionality - [x] Test component rendering and interactions #### 2.2 Interface Updates - [x] Update Standard interface with TRD workflow - [x] Add TRD generation event handlers - [x] Implement PRD → TRD conversion flow - [x] Add comprehensive error handling - [x] Test complete workflow integration ### Phase 3: Testing & Validation (1-2 days) #### 3.1 Test Suite - [x] Create `test_trd_services.py` - [x] Create `test_trd_ui.py` - [x] Add TRD validation tests - [x] Add integration tests for PRD → TRD workflow - [x] Test error scenarios and edge cases #### 3.2 Demo Scripts - [x] Update `services_demo.py` with TRD examples - [x] Update `ui_demo.py` with TRD components - [x] Update `test_runner.py` with TRD tests - [x] Create comprehensive demo scenarios ### Phase 4: Documentation & Polish (1 day) #### 4.1 Documentation - [x] Update README.md with TRD feature - [x] Add TRD examples to usage section - [x] Update architecture documentation - [x] Create TRD template documentation #### 4.2 Final Polish - [x] Finalize configuration settings - [x] Add comprehensive error messages - [x] Update feature flags and validation - [x] Performance optimization ## 🎯 Success Criteria ### Functional Success Criteria - [x] **SC-1**: Successfully generate Android TRD from any valid PRD - [x] **SC-2**: All 7 TRD sections are consistently generated - [x] **SC-3**: TRD content is technically accurate and actionable - [x] **SC-4**: Seamless integration with existing PRD workflow - [x] **SC-5**: TRD files are properly formatted and downloadable ### Technical Success Criteria - [x] **SC-6**: TRD generation completes within 30 seconds - [x] **SC-7**: 95% success rate for TRD generation - [x] **SC-8**: Comprehensive test coverage (>80%) - [x] **SC-9**: No regression in existing PRD functionality - [x] **SC-10**: Clean, maintainable code following project patterns ### User Experience Success Criteria - [x] **SC-11**: Intuitive workflow from PRD to TRD - [x] **SC-12**: Clear error messages and user feedback - [x] **SC-13**: Consistent UI/UX with existing interface - [x] **SC-14**: Fast and responsive user interactions ## 🔍 Quality Assurance ### Testing Strategy 1. **Unit Tests**: Test individual service methods and components 2. **Integration Tests**: Test complete PRD → TRD workflow 3. **UI Tests**: Test user interface components and interactions 4. **Performance Tests**: Validate response times and resource usage 5. **Error Handling Tests**: Test various failure scenarios ### Code Quality Standards - Follow existing project architecture patterns - Maintain consistent code style and documentation - Implement comprehensive error handling - Add detailed logging for debugging - Follow security best practices ## 📊 Metrics & Monitoring ### Key Performance Indicators - **TRD Generation Success Rate**: Target 95% - **Average Generation Time**: Target <30 seconds - **User Adoption Rate**: Track TRD feature usage - **Content Quality Score**: User feedback on TRD usefulness ### Monitoring Points - OpenAI API response times and errors - File generation and download success rates - User interface interaction metrics - System resource usage during TRD generation ## 🚀 Future Enhancements (v2.0+) ### Potential Extensions - **Multi-Platform Support**: iOS and Web TRD generation - **Custom Templates**: User-defined TRD section templates - **Advanced Formatting**: PDF and DOCX export options - **Template Customization**: Industry-specific TRD templates - **Integration APIs**: Direct integration with development tools ### Scalability Considerations - **Caching**: Cache generated TRDs for similar PRDs - **Batch Processing**: Generate multiple TRDs simultaneously - **Template Engine**: Pluggable template system for different platforms - **API Integration**: Connect with project management tools ## 📝 Notes & Considerations ### Technical Considerations - **OpenAI Token Limits**: Monitor token usage for large PRDs - **Content Quality**: Implement validation for generated content - **Error Recovery**: Graceful handling of partial generation failures - **Performance**: Optimize for large PRD inputs ### Business Considerations - **User Training**: Provide documentation and examples - **Feedback Loop**: Collect user feedback for continuous improvement - **Cost Management**: Monitor OpenAI API usage and costs - **Feature Adoption**: Track usage metrics and user satisfaction --- **Document Version**: 1.0 **Last Updated**: July 2025 **Next Review**: After Phase 4.2 completion **Owner**: Development Team