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Complete implementation of core MVP components: CLI Tool (src/datacenter_docs/cli.py): - 11 commands for system management (serve, worker, init-db, generate, etc.) - Auto-remediation policy management (enable/disable/status) - System statistics and monitoring - Rich formatted output with tables and panels Celery Workers (src/datacenter_docs/workers/): - celery_app.py with 4 specialized queues (documentation, auto_remediation, data_collection, maintenance) - tasks.py with 8 async tasks integrated with MongoDB/Beanie - Celery Beat scheduling (6h docs, 1h data collection, 15m metrics, 2am cleanup) - Rate limiting (10 auto-remediation/h) and timeout configuration - Task lifecycle signals and comprehensive logging VMware Collector (src/datacenter_docs/collectors/): - BaseCollector abstract class with full workflow (connect/collect/validate/store/disconnect) - VMwareCollector for vSphere infrastructure data collection - Collects VMs, ESXi hosts, clusters, datastores, networks with statistics - MCP client integration with mock data fallback for development - MongoDB storage via AuditLog and data validation Documentation & Configuration: - Updated README.md with CLI commands and Workers sections - Updated TODO.md with project status (55% completion) - Added CLAUDE.md with comprehensive project instructions - Added Docker compose setup for development environment Project Status: - Completion: 50% -> 55% - MVP Milestone: 80% complete (only Infrastructure Generator remaining) - Estimated time to MVP: 1-2 days 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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
- API Documentation: http://localhost:8000/docs
- API Health: http://localhost:8000/health
- Frontend: http://localhost
- Flower (Celery Monitor): http://localhost:5555
- MongoDB:
mongodb://admin:admin123@localhost:27017 - Redis:
localhost:6379
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
- Code changes are mounted as volumes, so changes to
src/are reflected immediately - Restart services after dependency changes:
docker-compose -f docker-compose.dev.yml restart api - Rebuild after pyproject.toml changes:
docker-compose -f docker-compose.dev.yml up --build -d api
Files
Dockerfile.api- FastAPI serviceDockerfile.chat- Chat service (not yet implemented)Dockerfile.worker- Celery worker (not yet implemented)Dockerfile.frontend- React frontend with Nginxdocker-compose.dev.yml- Development orchestrationnginx.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