ci: add automated Gitea Actions deployment workflow for Synology NAS
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- Add Gitea Actions workflow for automated build and deployment - Add deployment script for Synology NAS - Add Docker Compose configurations for production deployment - Add Gitea runner setup - Add comprehensive documentation for CI/CD setup - Add health check endpoint for deployment verification - Update .gitignore for CI/CD artifacts
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version: "3.9"
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# Gitea Runner für automatische CI/CD Deployments
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# Dieses Compose-File wird auf der Synology NAS deployed
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services:
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gitea-runner:
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image: gitea/act_runner:latest
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container_name: gitea-runner
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restart: unless-stopped
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environment:
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# Gitea Instance URL - Passe dies an deine Gitea-Installation an
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- GITEA_INSTANCE_URL=${GITEA_URL:-http://gitea:3000}
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# Runner Registration Token - Wird aus Gitea UI generiert
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- GITEA_RUNNER_REGISTRATION_TOKEN=${RUNNER_TOKEN}
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# Runner Name - Wird in Gitea angezeigt
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- GITEA_RUNNER_NAME=${RUNNER_NAME:-synology-runner}
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# Runner Labels - Definiert welche Workflows dieser Runner ausführen kann
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# Format: label:docker://image
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- GITEA_RUNNER_LABELS=ubuntu-latest:docker://catthehacker/ubuntu:act-latest,ubuntu-22.04:docker://catthehacker/ubuntu:act-22.04,ubuntu-20.04:docker://catthehacker/ubuntu:act-20.04
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# Runner Capacity - Maximale Anzahl gleichzeitiger Jobs
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- GITEA_RUNNER_CAPACITY=${RUNNER_CAPACITY:-1}
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# Log Level
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- GITEA_RUNNER_LOG_LEVEL=${LOG_LEVEL:-info}
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volumes:
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# Runner Daten (Config, Cache, etc.)
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- runner-data:/data
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# Docker Socket - Ermöglicht dem Runner Docker-Container zu starten
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- /var/run/docker.sock:/var/run/docker.sock
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# Optional: Workspace für Job-Artefakte
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- runner-workspace:/workspace
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networks:
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- gitea-network
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# Health Check
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healthcheck:
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test: ["CMD", "pgrep", "-f", "act_runner"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 40s
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# Resource Limits (optional, aber empfohlen)
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deploy:
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resources:
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limits:
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cpus: '2'
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memory: 2G
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reservations:
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cpus: '1'
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memory: 512M
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volumes:
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runner-data:
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driver: local
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runner-workspace:
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driver: local
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networks:
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gitea-network:
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# Wenn Gitea in einem separaten Netzwerk läuft, verwende:
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# external: true
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# Ansonsten:
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driver: bridge
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