Backend: - Add PostgreSQL service to docker-compose with health checks - Add SQLAlchemy async models for all entities (Agency, User, Campaign, Proof, ProofVersion, FlaggedItem, ResolvedItem, ErrorItem) - Add Alembic migration framework with initial schema migration - Add repository layer for CRUD operations - Add REST API endpoints for campaigns, proofs, and audit items - Add file storage service for proof uploads - Update WebSocket handler to optionally persist analysis results Frontend: - Add apiService.ts for REST API communication - Update geminiService.ts to support database persistence options Deployment: - Update deploy.sh to handle database migrations (6-step process) - Update Dockerfile to include alembic configuration - Add PostgreSQL environment variables to .env templates 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
31 lines
1,023 B
Text
31 lines
1,023 B
Text
# Gemini API Configuration
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# Get your API key from: https://aistudio.google.com/app/apikey
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GEMINI_API_KEY=your_gemini_api_key_here
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# Reference Documents Path (optional)
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# Defaults to ../reference_docs relative to backend/
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# REFERENCE_DOCS_PATH=/path/to/reference_docs
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# CORS Configuration
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# Comma-separated list of allowed origins
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CORS_ORIGINS=http://localhost:3000
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# Server Configuration
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HOST=0.0.0.0
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PORT=8000
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# Azure AD Configuration (for Microsoft SSO token verification)
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# Get these from your Azure AD app registration
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AZURE_TENANT_ID=your_azure_tenant_id_here
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AZURE_CLIENT_ID=your_azure_client_id_here
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# Development only - set to "true" to disable authentication (NOT for production)
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DISABLE_AUTH=false
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# Database Configuration (PostgreSQL)
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# Format: postgresql+asyncpg://user:password@host:port/database
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DATABASE_URL=postgresql+asyncpg://modcomms:modcomms_dev@localhost:5432/modcomms
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# File Storage Path (for uploaded proofs)
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# Defaults to ../storage relative to backend/
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# FILE_STORAGE_PATH=/path/to/storage
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