Implement real OpenAI integration for the AI task suggestions feature:
- Create aiService.js with GPT-3.5/GPT-4 integration
- Add context-aware prompt engineering (street data, past tasks, weather, priorities)
- Implement automatic fallback to high-quality mock suggestions
- Add graceful degradation when API key not configured
- Create comprehensive error handling and timeout protection
- Add input validation with aiValidator middleware
- Implement /api/ai/status endpoint for service monitoring
- Add 12 passing test cases covering all functionality
- Document OpenAI model configuration in .env.example
- Create detailed AI_SERVICE.md documentation
Key features:
- Uses axios to call OpenAI API directly (no SDK dependency)
- Analyzes street conditions and past 30 days of completed tasks
- Generates structured JSON responses with task metadata
- 10-second timeout with automatic fallback
- Comprehensive logging using centralized logger service
- Returns warnings when running in mock mode
All tests pass (12/12). Ready for production use with or without API key.
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- Add COUCHDB_USER and COUCHDB_PASSWORD to .env.example
- Document default admin credentials for CouchDB setup
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- Add production-ready CouchDB service with connection management
- Implement design documents with views and Mango indexes
- Create CRUD operations with proper error handling
- Add specialized helper methods for all document types
- Include batch operations and conflict resolution
- Create comprehensive migration script from MongoDB to CouchDB
- Add test suite with graceful handling when CouchDB unavailable
- Include detailed documentation and usage guide
- Update environment configuration for CouchDB support
- Follow existing code patterns and conventions
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