Jon
df079713c4
🌐 Cloud-Native Architecture: - Firebase Functions deployment (no Docker) - Supabase database (replacing local PostgreSQL) - Google Cloud Storage integration - Document AI + Agentic RAG processing pipeline - Claude-3.5-Sonnet LLM integration ✅ Full BPCP CIM Review Template (7 sections): - Deal Overview - Business Description - Market & Industry Analysis - Financial Summary (with historical financials table) - Management Team Overview - Preliminary Investment Thesis - Key Questions & Next Steps 🔧 Cloud Migration Improvements: - PostgreSQL → Supabase migration complete - Local storage → Google Cloud Storage - Docker deployment → Firebase Functions - Schema mapping fixes (camelCase/snake_case) - Enhanced error handling and logging - Vector database with fallback mechanisms 📄 Complete End-to-End Cloud Workflow: 1. Upload PDF → Document AI extraction 2. Agentic RAG processing → Structured CIM data 3. Store in Supabase → Vector embeddings 4. Auto-generate PDF → Full BPCP template 5. Download complete CIM review 🚀 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
85 lines
2.5 KiB
Bash
Executable File
85 lines
2.5 KiB
Bash
Executable File
#!/bin/bash
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# CIM Document Processor Backend Environment Setup
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echo "Setting up environment variables for CIM Document Processor Backend..."
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# Create .env file if it doesn't exist
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if [ ! -f .env ]; then
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echo "Creating .env file..."
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cat > .env << EOF
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# Environment Configuration for CIM Document Processor Backend
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# Node Environment
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NODE_ENV=development
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PORT=5000
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# Supabase Configuration (Cloud Database)
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SUPABASE_URL=https://your-project.supabase.co
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SUPABASE_ANON_KEY=your-supabase-anon-key-here
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SUPABASE_SERVICE_KEY=your-supabase-service-role-key-here
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# Firebase Configuration (Cloud Storage & Auth)
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FIREBASE_PROJECT_ID=your-firebase-project-id
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FIREBASE_STORAGE_BUCKET=your-firebase-project-id.appspot.com
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FIREBASE_API_KEY=your-firebase-api-key
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FIREBASE_AUTH_DOMAIN=your-firebase-project-id.firebaseapp.com
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# Google Cloud Configuration (Document AI)
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GCLOUD_PROJECT_ID=your-google-cloud-project-id
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DOCUMENT_AI_LOCATION=us
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DOCUMENT_AI_PROCESSOR_ID=your-document-ai-processor-id
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GCS_BUCKET_NAME=your-gcs-bucket-name
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DOCUMENT_AI_OUTPUT_BUCKET_NAME=your-output-bucket-name
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GOOGLE_APPLICATION_CREDENTIALS=./serviceAccountKey.json
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# JWT Configuration
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JWT_SECRET=your-super-secret-jwt-key-change-this-in-production
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JWT_EXPIRES_IN=1h
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JWT_REFRESH_SECRET=your-super-secret-refresh-key-change-this-in-production
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JWT_REFRESH_EXPIRES_IN=7d
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# File Upload Configuration
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MAX_FILE_SIZE=52428800
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UPLOAD_DIR=uploads
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ALLOWED_FILE_TYPES=application/pdf,application/msword,application/vnd.openxmlformats-officedocument.wordprocessingml.document
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# LLM Configuration
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LLM_PROVIDER=openai
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OPENAI_API_KEY=your-openai-api-key-here
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ANTHROPIC_API_KEY=your-anthropic-api-key-here
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LLM_MODEL=gpt-4
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LLM_MAX_TOKENS=4000
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LLM_TEMPERATURE=0.1
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# Storage Configuration (Local by default)
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STORAGE_TYPE=local
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# Security Configuration
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BCRYPT_ROUNDS=12
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RATE_LIMIT_WINDOW_MS=900000
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RATE_LIMIT_MAX_REQUESTS=100
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# Logging Configuration
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LOG_LEVEL=info
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LOG_FILE=logs/app.log
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# Frontend URL (for CORS)
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FRONTEND_URL=http://localhost:3000
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EOF
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echo "✅ .env file created successfully!"
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else
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echo "⚠️ .env file already exists. Skipping creation."
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fi
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echo ""
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echo "📋 Next steps:"
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echo "1. Edit the .env file with your actual database credentials"
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echo "2. Add your OpenAI and/or Anthropic API keys"
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echo "3. Update the JWT secrets for production"
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echo "4. Run: npm run db:migrate (after setting up PostgreSQL)"
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echo "5. Run: npm run dev"
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echo ""
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echo "🔧 Required services:"
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echo "- PostgreSQL database"
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echo "- Redis server"
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echo "- OpenAI API key (or Anthropic API key)" |