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llm-automation-docs-and-rem…/deploy/docker
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feat: implement automatic ChromaDB indexing and loop-based documentation generation
- Add automatic ChromaDB indexing after documentation generation
- Implement loop-based section generation for individual VM and container documentation
- Fix Celery anti-pattern in generate_proxmox_docs task (removed blocking .get() call)
- Share ChromaDB vector store volume between worker and chat services
- Add documentation management UI to frontend with manual job triggering and log viewing
- Fix frontend Socket.IO connection URL to point to correct chat service port
- Enhance DocumentationAgent.index_documentation() with automatic cleanup of old documents
- Update Proxmox template to generate individual files for each VM and container

This enables the RAG system to properly respond with infrastructure-specific information from the generated documentation.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-21 03:00:50 +02:00
..

Docker Development Environment

This directory contains Docker configurations for running the Datacenter Documentation System in development mode.

Prerequisites

  • Docker Engine 20.10+
  • Docker Compose V2
  • At least 4GB RAM available for Docker

Quick Start

# Start all services
cd deploy/docker
docker-compose -f docker-compose.dev.yml up -d

# View logs
docker-compose -f docker-compose.dev.yml logs -f

# Stop all services
docker-compose -f docker-compose.dev.yml down

Environment Variables

Create a .env file in the project root with:

ANTHROPIC_API_KEY=your_api_key_here
MCP_SERVER_URL=http://localhost:8001

Services

Running Services

Service Port Description Status
API 8000 FastAPI documentation server Healthy
MongoDB 27017 Database Healthy
Redis 6379 Cache & message broker Healthy
Frontend 80 React web interface ⚠️ Running
Flower 5555 Celery monitoring Running

Not Implemented Yet

  • Chat Service (port 8001) - WebSocket chat interface
  • Worker Service - Celery background workers

These services are commented out in docker-compose.dev.yml and will be enabled when implemented.

Access Points

Build Individual Services

# Rebuild a specific service
docker-compose -f docker-compose.dev.yml up --build -d api

# View logs for a specific service
docker-compose -f docker-compose.dev.yml logs -f api

Troubleshooting

API not starting

Check logs:

docker-compose -f docker-compose.dev.yml logs api

MongoDB connection issues

Ensure MongoDB is healthy:

docker-compose -f docker-compose.dev.yml ps mongodb

Clear volumes and restart

docker-compose -f docker-compose.dev.yml down -v
docker-compose -f docker-compose.dev.yml up --build -d

Development Workflow

  1. Code changes are mounted as volumes, so changes to src/ are reflected immediately
  2. Restart services after dependency changes:
    docker-compose -f docker-compose.dev.yml restart api
    
  3. Rebuild after pyproject.toml changes:
    docker-compose -f docker-compose.dev.yml up --build -d api
    

Files

  • Dockerfile.api - FastAPI service
  • Dockerfile.chat - Chat service (not yet implemented)
  • Dockerfile.worker - Celery worker (not yet implemented)
  • Dockerfile.frontend - React frontend with Nginx
  • docker-compose.dev.yml - Development orchestration
  • nginx.conf - Nginx configuration for frontend

Notes

  • Python version: 3.12
  • Black formatter uses Python 3.12 target
  • Services use Poetry for dependency management
  • Frontend uses Vite for building