docs/prd/technical-constraints-and-integration-requirements.md

# Technical Constraints and Integration Requirements

### Existing Technology Stack

**Languages**: Python 3.8+, JavaScript/TypeScript
**Frameworks**: Flask (backend), React with Vite (frontend), Redux Toolkit for state management
**Database**: Supabase (PostgreSQL)
**Infrastructure**: Docker support with docker-compose, Redis for Celery task queue
**External Dependencies**: 
- Supabase client library
- Gradio client for AI interactions
- LinkedIn API for social media integration
- Tailwind CSS for styling
- Hugging Face API for AI content generation

### Integration Approach

**Database Integration Strategy**: New keyword analysis data will be stored in temporary tables or cached in Redis to avoid schema changes. The existing Supabase schema will remain unchanged to maintain compatibility.

**API Integration Strategy**: 
- New endpoints will be added to the existing backend API in backend/api/posts.py to handle keyword trend analysis
- The FLUX.1-dev image generation will be integrated into the existing content_service.py
- All new API endpoints will follow the existing authentication patterns using JWT tokens

**Frontend Integration Strategy**: 
- New React components will be added to the existing component structure in frontend/src/components/
- The keyword analysis feature will be integrated into the Posts page (frontend/src/pages/Posts.jsx)
- Redux store will be updated with new slices to handle keyword analysis state

**Testing Integration Strategy**: 
- New unit tests will be added following the existing testing patterns in backend/tests/
- Integration tests will be created to verify the keyword analysis functionality
- Frontend component tests will be added following existing patterns

### Code Organization and Standards

**File Structure Approach**: New files will follow the existing organization pattern:
- Backend: New modules in backend/services/ and new API endpoints in backend/api/
- Frontend: New components in frontend/src/components/ and new services in frontend/src/services/

**Naming Conventions**: Will follow existing Python (snake_case) and JavaScript (camelCase) conventions

**Coding Standards**: Will adhere to existing linting standards (ESLint for frontend, flake8 for backend)

**Documentation Standards**: Will follow existing documentation patterns with JSDoc-style comments for JavaScript and Python docstrings

### Deployment and Operations

**Build Process Integration**: The new features will integrate with the existing Vite build process for the frontend and standard Python packaging for the backend

**Deployment Strategy**: Features will be deployed using the existing Docker and docker-compose setup without requiring additional infrastructure changes

**Monitoring and Logging**: Will use existing logging mechanisms in both frontend and backend following current patterns

**Configuration Management**: New environment variables will be added to existing .env files following the current pattern

### Risk Assessment and Mitigation

**Technical Risks**: 
- API rate limits for keyword analysis from news sources
- Performance impact of keyword trend analysis on the user experience
- Integration complexity with the FLUX.1-dev image generation service

**Integration Risks**: 
- Maintaining backward compatibility with existing features
- Ensuring the new keyword analysis doesn't disrupt existing content generation workflows
- Proper authentication and authorization for new API endpoints

**Deployment Risks**: 
- Ensuring the new image generation service is reliable
- Managing dependencies for the new FLUX.1-dev client

**Mitigation Strategies**: 
- Implement caching for keyword analysis results to reduce API calls
- Add timeout handling and fallback mechanisms for external API calls
- Create comprehensive tests to ensure existing functionality remains intact
- Use feature flags to gradually roll out new functionality
- Implement proper error handling and user feedback for failed operations