Files
llm-automation-docs-and-rem…/deploy/docker
dnviti d6d44270ee
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refactor: reorganize CI/CD pipelines into separate workflow files
BREAKING CHANGE: Monolithic ci.yml split into focused pipeline files

## Pipeline Reorganization

Split single CI/CD pipeline into 7 specialized workflows:

1. **lint.yml** - Code quality checks (Black, Ruff, MyPy)
2. **test.yml** - Test suite with coverage reporting
3. **security.yml** - Security scanning (Bandit)
4. **build.yml** - Docker image builds and registry push
5. **deploy-staging.yml** - Staging environment deployment
6. **deploy-production.yml** - Production deployment (tags only)
7. **docs-generation.yml** - Scheduled documentation generation

## Benefits

- **Modularity**: Each pipeline has single responsibility
- **Performance**: Workflows run independently, faster feedback
- **Clarity**: Easier to understand and maintain
- **Flexibility**: Trigger pipelines independently
- **Debugging**: Isolated failures easier to diagnose

## Dockerfile Improvements

- Fix FROM AS casing (was 'as', now 'AS') in all Dockerfiles
- Resolves Docker build warnings
- Improves consistency across build files

## Documentation

- Added .gitea/workflows/README.md with:
  - Workflow descriptions and triggers
  - Dependency diagram
  - Environment variables reference
  - Troubleshooting guide
  - Best practices

## Migration Notes

- Old monolithic pipeline backed up as ci.yml.old
- All triggers preserved from original pipeline
- No changes to build or deploy logic
- Same environment variables and secrets required

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-21 13:37:21 +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