mirror of
https://github.com/fsecada01/Pygentic-AI.git
synced 2026-05-11 19:54:59 +00:00
Francis Secada
b129cd4f0c
Production Deployment Improvements: - Added .env.example template for secure credential management - Modernized Docker build workflow with branch sanitization - Created Komodo deployment trigger workflow - Updated compose.yaml with environment variable substitution GitHub Workflows: - Updated docker-image.yml: - Add branch name sanitization (replace / with -) - Generate both date-tagged and -latest Docker tags - Upgrade to actions/checkout@v4 - Add pull: true for layer caching - New komodo-deploy.yml: - Triggers after successful Docker Image CI - Sends signed webhook to Komodo service - Extracts and sanitizes branch names - Requires secrets: KOMODO_HOST, KOMODO_STACK_ID_OR_NAME, KOMODO_WEBHOOK_SECRET Docker Compose Modernization: - Dynamic IMAGE_TAG with sensible defaults (main-latest) - Configurable memory limits and reservations - Environment variable substitution for all configs - Added container names and restart policies - Improved healthcheck with Host header - Updated Traefik labels with Let's Encrypt cert resolver - Added loadbalancer server URL configuration - Explicit command paths for reliability Security: - .env.example provides safe template (no credentials) - Actual .env remains in .gitignore (not tracked) Pattern based on proven Formana deployment architecture. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
69 lines
2.2 KiB
YAML
69 lines
2.2 KiB
YAML
services:
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web:
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image: s3docker.francissecada.com/pygentic_ai:${IMAGE_TAG:-main-latest}
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container_name: pygentic_ai
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restart: unless-stopped
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deploy:
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resources:
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limits:
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memory: ${MEMORY_LIMIT:-1024mb}
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reservations:
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memory: ${MEMORY_RESERVATION:-512mb}
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ports:
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- "0.0.0.0:${PORT:-5051}:${INTERNAL_PORT:-5051}"
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env_file:
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- ./stack.env
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environment:
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- PORT=${INTERNAL_PORT:-5051}
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- SERVER_ENV=${SERVER_ENV:-prod}
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volumes:
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- ./src/proxy_urls.db:/opt/pygentic_ai/src/proxy_urls.db
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command: bash -c "/opt/pygentic_ai/docker/pygentic_ai/python_start.sh"
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healthcheck:
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test: ["CMD", "curl", "-f", "-H", "Host: pygenticai.francissecada.com", "http://localhost:${INTERNAL_PORT:-5051}/"]
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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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labels:
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- traefik.enable=true
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- traefik.http.routers.pygentic_ai.rule=Host(`pygenticai.francissecada.com`)
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- traefik.http.routers.pygentic_ai.entrypoints=websecure
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- traefik.http.routers.pygentic_ai.tls.certresolver=letsencrypt
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- traefik.http.services.pygentic_ai.loadbalancer.server.url=http://${DOCKER_HOST_IP:-192.168.99.85}:${PORT:-5051}
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networks:
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- proxy
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celery_service:
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image: s3docker.francissecada.com/pygentic_ai:${IMAGE_TAG:-main-latest}
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container_name: pygentic_ai_celery
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restart: unless-stopped
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deploy:
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resources:
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limits:
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memory: ${CELERY_MEMORY_LIMIT:-512mb}
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reservations:
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memory: ${CELERY_MEMORY_RESERVATION:-256mb}
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command: bash -c "/opt/pygentic_ai/docker/celery/start.sh"
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env_file:
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- ./stack.env
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environment:
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- PORT=${CELERY_PORT:-5052}
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- SERVER_ENV=${SERVER_ENV:-prod}
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- C_FORCE_ROOT=true
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ports:
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- "0.0.0.0:${CELERY_PORT:-5052}:${CELERY_PORT:-5052}"
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labels:
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- traefik.enable=true
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- traefik.http.routers.celery_pygentic_ai.entrypoints=websecure
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- traefik.http.routers.celery_pygentic_ai.rule=Host(`celery.pygenticai.francissecada.com`)
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- traefik.http.routers.celery_pygentic_ai.tls.certresolver=letsencrypt
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networks:
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- proxy
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depends_on:
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- web
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networks:
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proxy:
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external: true
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