# CI/CD Implementation Summary

## 🎯 Overview

This document summarizes the comprehensive CI/CD pipeline implementation for the KGraph-MCP project, including the shift to a develop-based workflow and multi-environment deployment strategy.

## 📝 Key Changes Implemented

### 1. **Cursor Rules Updates**

#### Updated Files:
- `.cursor/rules/project_management.mdc`
  - Added rule: All PRs should target `develop` branch, not `main`
  - Main branch is reserved for production-ready releases only

### 2. **Justfile Updates**

#### Modified Recipes:
- Renamed `pr-to-main` to `pr-to-develop`
- Updated PR creation to target `develop` branch by default
- Added alias for backward compatibility

### 3. **Git Flow Strategy**

Implemented standard Git Flow with:
- **`main`** - Production releases only
- **`develop`** - Integration branch for features
- **`release/*`** - Release candidates
- **`feature/*`** - Feature development
- **`hotfix/*`** - Emergency fixes

### 4. **CI/CD Pipeline Files Created**

#### Core Files:
1. **`CI_CD_DEPLOYMENT_PLAN.md`** - Comprehensive deployment strategy
2. **`scripts/deploy.sh`** - Universal deployment script
3. **`Dockerfile`** - Multi-stage build for all environments

#### Docker Compose Files:
- `deployments/docker-compose.dev.yml` - Development environment
- `deployments/docker-compose.staging.yml` - Staging environment  
- `deployments/docker-compose.prod.yml` - Production environment with monitoring

#### GitHub Actions Workflows:
- `.github/workflows/ci.yml` - Continuous Integration
- `.github/workflows/deploy-dev.yml` - Auto-deploy to dev
- `.github/workflows/deploy-staging.yml` - Deploy to staging
- `.github/workflows/deploy-prod.yml` - Production deployment with rollback

## 🚀 Environment Architecture

### Development
- **Trigger**: Push to `develop`
- **Features**: Auto-deploy, debug mode, test data
- **URL**: `dev.kgraph-mcp.example.com`

### Staging
- **Trigger**: Push to `release/*` branches
- **Features**: Production-like, integration tests
- **URL**: `staging.kgraph-mcp.example.com`

### Production
- **Trigger**: Tagged releases (`v*`)
- **Features**: HA, monitoring, automated backups
- **URL**: `api.kgraph-mcp.example.com`

## 🔧 Key Features Implemented

### 1. **Automated Testing**
- Linting (Ruff, Black)
- Type checking (mypy)
- Unit tests with coverage
- Security scanning (Trivy)
- Multi-Python version testing

### 2. **Docker Integration**
- Multi-stage builds
- Environment-specific configurations
- GitHub Container Registry
- Layer caching for faster builds

### 3. **Deployment Safety**
- Health checks before/after deployment
- Automated rollback on failure
- Database backups before production deploys
- Smoke tests post-deployment

### 4. **Monitoring & Observability**
- Prometheus metrics collection
- Grafana dashboards
- Sentry error tracking
- Slack notifications

### 5. **Security**
- Container vulnerability scanning
- Non-root user in containers
- Environment-specific secrets
- SSH key-based deployments

## 📋 Required GitHub Secrets

### Development Environment:
- `DEV_HOST` - Development server hostname
- `DEV_USER` - Deployment user
- `DEV_DEPLOY_KEY` - SSH private key

### Staging Environment:
- `STAGING_HOST` - Staging server hostname
- `STAGING_USER` - Deployment user
- `STAGING_DEPLOY_KEY` - SSH private key

### Production Environment:
- `PROD_HOST` - Production server hostname
- `PROD_USER` - Deployment user
- `PROD_DEPLOY_KEY` - SSH private key

### Common:
- `SLACK_WEBHOOK` - Slack notifications
- `SENTRY_DSN` - Error tracking

## 🔄 Deployment Workflow

### Feature Development:
1. Create feature branch from `develop`
2. Develop and test locally
3. Create PR to `develop`
4. CI runs tests and checks
5. Merge triggers auto-deploy to dev

### Release Process:
1. Create `release/v1.2.0` from `develop`
2. Deploy to staging automatically
3. Run acceptance tests
4. Create PR to `main`
5. Merge and tag triggers production deploy

### Hotfix Process:
1. Create `hotfix/critical-fix` from `main`
2. Fix and test
3. PR to both `main` and `develop`
4. Deploy to production immediately

## 🎯 Next Steps

1. **Infrastructure Setup**:
   - Provision dev/staging/prod servers
   - Configure DNS for environments
   - Set up SSL certificates

2. **GitHub Configuration**:
   - Add all required secrets
   - Configure branch protection rules
   - Set up environments in GitHub

3. **Monitoring Setup**:
   - Deploy Prometheus/Grafana stack
   - Configure alerts and dashboards
   - Set up Sentry project

4. **Documentation**:
   - Update README with deployment info
   - Create runbooks for common tasks
   - Document rollback procedures

## 📚 Related Documents

- [CI/CD Deployment Plan](./CI_CD_DEPLOYMENT_PLAN.md)
- [Deployment Script](./scripts/deploy.sh)
- [Docker Configuration](./Dockerfile)
- [Environment Configs](./deployments/)

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*This implementation provides a robust, scalable CI/CD pipeline with proper environment separation and deployment safety measures.*