432aa63e36
- Add Woodpecker pipeline with base image support - Separate base image build (.woodpecker-base.yml) from app build (.woodpecker.yml) - Implement build/push separation in application pipeline - Create Docker base image with Python 3.11, Node.js 20, and bun - Update Dockerfile to use pre-built base image for faster builds - Remove GitHub Actions (not needed, using Woodpecker) - Fix Docker contexts and paths for new structure - Update docker-compose.yml build contexts - Fix rxconfig.py DB path for container environment - Add ArgoCD application manifests for staging/production - Create comprehensive documentation: - docs/WOODPECKER_CI_CD.md (CI/CD guide) - docs/BASE_IMAGE_MANAGEMENT.md (Base image management) - helm/peikarband/argocd/README.md (ArgoCD deployment) Benefits: - Build time: 8-10min → 2-3min (60-70% faster) - Better reliability (no repeated npm/bun downloads) - Separation of concerns (base vs application builds) - Full pipeline: check → build → push → verify → notify - Complete deployment automation with Helm + ArgoCD Pipeline stages: 1. check-base-image: Verify base image availability 2. build-image: Build application (no push) 3. push-image: Push with multi-tags (latest, sha, branch) 4. verify-push: Verify successful push 5. notify: Success/failure notifications Base image can be rebuilt via: - Manual trigger in Woodpecker UI - Auto trigger when Dockerfile.base changes
99 lines
2.3 KiB
YAML
99 lines
2.3 KiB
YAML
version: '3.8'
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services:
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# PostgreSQL Database
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postgres:
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image: postgres:14-alpine
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container_name: peikarband-db
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environment:
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POSTGRES_USER: ${DB_USER:-peikarband}
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POSTGRES_PASSWORD: ${DB_PASSWORD:-peikarband}
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POSTGRES_DB: ${DB_NAME:-peikarband}
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ports:
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- "5432:5432"
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volumes:
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- postgres_data:/var/lib/postgresql/data
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U peikarband"]
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interval: 10s
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timeout: 5s
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retries: 5
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# Redis Cache
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redis:
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image: redis:7-alpine
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container_name: peikarband-redis
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ports:
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- "6379:6379"
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volumes:
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- redis_data:/data
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 10s
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timeout: 5s
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retries: 5
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# Peikarband Application
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app:
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build:
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context: ..
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dockerfile: docker/Dockerfile
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container_name: peikarband-app
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depends_on:
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- postgres
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- redis
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ports:
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- "3000:3000"
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- "8000:8000"
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environment:
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- DATABASE_URL=postgresql://peikarband:peikarband@postgres:5432/peikarband
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- REDIS_URL=redis://redis:6379/0
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- CELERY_BROKER_URL=redis://redis:6379/1
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- CELERY_RESULT_BACKEND=redis://redis:6379/2
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- SECRET_KEY=${SECRET_KEY}
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- JWT_SECRET_KEY=${JWT_SECRET_KEY}
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- ENVIRONMENT=production
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volumes:
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- ./:/app
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restart: unless-stopped
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# Celery Worker
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celery:
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build:
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context: ..
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dockerfile: docker/Dockerfile
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container_name: peikarband-celery
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command: celery -A src.infrastructure.tasks.celery_app worker -l info
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depends_on:
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- postgres
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- redis
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environment:
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- DATABASE_URL=postgresql://peikarband:peikarband@postgres:5432/peikarband
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- REDIS_URL=redis://redis:6379/0
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- CELERY_BROKER_URL=redis://redis:6379/1
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- CELERY_RESULT_BACKEND=redis://redis:6379/2
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volumes:
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- ./:/app
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restart: unless-stopped
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# Flower (Celery Monitoring)
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flower:
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build:
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context: ..
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dockerfile: docker/Dockerfile
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container_name: peikarband-flower
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command: celery -A src.infrastructure.tasks.celery_app flower
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depends_on:
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- redis
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- celery
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ports:
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- "5555:5555"
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environment:
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- CELERY_BROKER_URL=redis://redis:6379/1
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restart: unless-stopped
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volumes:
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postgres_data:
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redis_data:
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