Refine Docker config and env sample
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@@ -1,180 +1,219 @@
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#
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# APP DOCKER COMPOSE
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#
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# This file defines the application services for avaaz.ai. It is designed
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# to work in both development and production environments, controlled by the
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# `COMPOSE_PROFILES` environment variable.
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#
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# Profiles:
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# - `dev`: For local development. Exposes ports to localhost, mounts local
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# code for hot-reloading, and uses development-specific commands.
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# - `prod`: For production. Does not expose ports directly (relies on the
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# `proxy` network), uses production-ready commands, and enables
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# restarts.
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#
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# To run in development:
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# > COMPOSE_PROFILES=dev docker compose up --build
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#
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# To run in production:
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# > COMPOSE_PROFILES=prod docker compose up --build -d
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#
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# For more details, see: ./docs/architecture.md
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#
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version: "3.9"
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# COMPOSE_PROFILES controls which services start:
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# - dev : laptop-friendly; mounts source, exposes localhost ports, enables reloaders
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# - prod : VPS-friendly; no host ports for app containers, joins proxy network for Caddy
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x-service-defaults: &service-defaults
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env_file: .env
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restart: ${DOCKER_RESTART_POLICY:-unless-stopped}
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networks:
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- app
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logging:
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driver: "json-file"
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options:
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max-size: "10m"
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max-file: "3"
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x-backend-common: &backend-common
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<<: *service-defaults
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depends_on:
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postgres:
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condition: service_healthy
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services:
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# --------------------------------------------------------------------------
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# Next.js Frontend
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# --------------------------------------------------------------------------
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frontend:
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# Service name matches the Caddyfile reverse_proxy directive.
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<<: *service-defaults
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profiles: [prod]
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container_name: frontend
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build:
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context: ./frontend
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# The Dockerfile is expected to handle multi-stage builds for both
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# development and production.
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dockerfile: Dockerfile
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# The application is stateless, so no volume is needed for the container
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# itself. A bind mount is used in development for hot-reloading.
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target: runner
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environment:
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NODE_ENV: production
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NEXT_TELEMETRY_DISABLED: 1
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PORT: 3000
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expose:
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- "3000"
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depends_on:
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backend:
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condition: service_healthy
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healthcheck:
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test:
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[
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"CMD-SHELL",
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"node -e \"require('http').get('http://127.0.0.1:3000', (res) => { process.exit(res.statusCode < 500 ? 0 : 1); }).on('error', () => process.exit(1));\"",
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]
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interval: 30s
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timeout: 5s
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retries: 5
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start_period: 10s
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networks:
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- app
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- proxy
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# Caddy from the infra stack reverse-proxies to this container on the proxy network.
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frontend-dev:
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<<: *service-defaults
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profiles: [dev]
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container_name: frontend-dev
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build:
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context: ./frontend
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dockerfile: Dockerfile
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target: dev
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command: ["npm", "run", "dev", "--", "--hostname", "0.0.0.0", "--port", "3000"]
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environment:
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NODE_ENV: development
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NEXT_TELEMETRY_DISABLED: 1
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ports:
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- "3000:3000" # Localhost access during development
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volumes:
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# Mounts the local frontend source code into the container for
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# hot-reloading during development.
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- if:
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- COMPOSE_PROFILES=dev
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type: bind
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source: ./frontend
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target: /app
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# Environment variables are loaded from the shared .env file.
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env_file: .env
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# Restart policy is only applied in production. In development, we
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# typically want the container to stop on errors for debugging.
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restart: ${DOCKER_RESTART_POLICY:-unless-stopped}
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profiles:
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- dev
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- prod
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- ./frontend:/app
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- frontend-node_modules:/app/node_modules
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depends_on:
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backend-dev:
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condition: service_healthy
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networks:
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app:
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aliases:
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- frontend
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# --------------------------------------------------------------------------
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# FastAPI Backend
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# --------------------------------------------------------------------------
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backend:
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# Service name matches the Caddyfile reverse_proxy directive.
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<<: *backend-common
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profiles: [prod]
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container_name: backend
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build:
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context: ./backend
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# The Dockerfile should contain stages for both development (with
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# debugging tools) and production (a lean, optimized image).
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dockerfile: Dockerfile
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# The application is stateless. A bind mount is used in development.
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volumes:
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# Mounts the local backend source code for hot-reloading with uvicorn.
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- if:
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- COMPOSE_PROFILES=dev
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type: bind
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source: ./backend
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target: /app
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# Environment variables provide configuration for database connections,
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# API keys, and other secrets.
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env_file: .env
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# Explicitly depend on postgres to ensure it starts first.
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depends_on:
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postgres:
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condition: service_healthy
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# Use development-specific command for auto-reloading.
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target: production
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environment:
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ENVIRONMENT: production
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command:
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- if:
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- COMPOSE_PROFILES=dev
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# Uvicorn with --reload watches for file changes.
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content: uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload
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- else:
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# Gunicorn is a battle-tested WSGI server for production.
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content: gunicorn -w 4 -k uvicorn.workers.UvicornWorker app.main:app --bind 0.0.0.0:8000
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restart: ${DOCKER_RESTART_POLICY:-unless-stopped}
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[
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"gunicorn",
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"app.main:app",
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"-k",
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"uvicorn.workers.UvicornWorker",
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"-w",
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"${GUNICORN_WORKERS:-4}",
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"--bind",
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"0.0.0.0:8000",
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"--access-logfile",
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"-",
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"--error-logfile",
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"-",
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"--timeout",
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"${GUNICORN_TIMEOUT:-120}",
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]
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expose:
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- "8000"
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healthcheck:
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test:
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[
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"CMD-SHELL",
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"python -c \"import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/health').close()\"",
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]
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interval: 30s
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timeout: 5s
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retries: 5
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start_period: 10s
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networks:
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- app
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- proxy
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backend-dev:
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<<: *backend-common
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profiles: [dev]
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container_name: backend-dev
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build:
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context: ./backend
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dockerfile: Dockerfile
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target: development
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environment:
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ENVIRONMENT: development
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PYTHONPATH: /app
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command: ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]
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ports:
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- "8000:8000" # Localhost access during development
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volumes:
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- ./backend:/app
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- backend-venv:/app/.venv
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healthcheck:
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test:
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[
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"CMD-SHELL",
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"python -c \"import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/health').close()\"",
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]
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interval: 15s
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timeout: 5s
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retries: 5
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start_period: 10s
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networks:
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app:
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aliases:
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- backend
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# --------------------------------------------------------------------------
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# PostgreSQL + pgvector
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# --------------------------------------------------------------------------
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postgres:
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<<: *service-defaults
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container_name: postgres
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image: pgvector/pgvector:pg16
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profiles:
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- dev
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- prod
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# --------------------------------------------------------------------------
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# PostgreSQL Database
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# --------------------------------------------------------------------------
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postgres:
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# Standard service name for a PostgreSQL database.
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container_name: postgres
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# Use the latest official Postgres image with pgvector support.
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image: pgvector/pgvector:pg16
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# A volume is essential to persist database data across container
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# restarts and deployments.
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volumes:
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- postgres-data:/var/lib/postgresql/data
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env_file: .env
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# The healthcheck ensures that other services don't start until the
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# database is ready to accept connections.
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ports:
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- "127.0.0.1:${POSTGRES_PORT:-5432}:5432" # Local-only binding keeps DB off the public interface
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-postgres} -d ${POSTGRES_DB:-postgres}"]
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interval: 10s
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timeout: 5s
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retries: 5
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restart: ${DOCKER_RESTART_POLICY:-unless-stopped}
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profiles:
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- dev
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- prod
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# --------------------------------------------------------------------------
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# LiveKit Real-Time Server
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# --------------------------------------------------------------------------
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livekit:
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# Service name matches the Caddyfile reverse_proxy directive.
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<<: *service-defaults
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container_name: livekit
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# Use the latest official LiveKit server image.
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image: livekit/livekit-server:latest
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# The command starts the server with a configuration file. The file is
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# generated on startup based on environment variables.
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command: --config /etc/livekit.yaml
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# In development, ports are exposed for direct connection. In production,
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# Caddy handles this.
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ports:
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# WebRTC signaling (TCP/WS)
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- target: 7880
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published: 7880
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protocol: tcp
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mode: host
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# WebRTC media (UDP)
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- target: 50000-60000
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published: 50000-60000
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protocol: udp
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mode: host
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environment:
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# The livekit.yaml is generated from environment variables.
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# This allows easy configuration without managing a separate file.
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LIVEKIT_KEYS: "${LIVEKIT_API_KEY}:${LIVEKIT_API_SECRET}"
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LIVEKIT_PORT: 7880
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LIVEKIT_LOG_LEVEL: info
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LIVEKIT_RTC_UDP_PORT: 7881
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LIVEKIT_RTC_TCP_PORT: 7881
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LIVEKIT_TURN_ENABLED: "true"
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LIVEKIT_TURN_PORT: 3478
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env_file: .env
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restart: ${DOCKER_RESTART_POLICY:-unless-stopped}
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profiles:
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- dev
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- prod
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# UDP/TCP ports remain published in prod so external clients can complete WebRTC/TURN;
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# Caddy still proxies signaling over the shared proxy network.
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environment:
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LIVEKIT_KEYS: "${LIVEKIT_API_KEY}:${LIVEKIT_API_SECRET}"
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LIVEKIT_PORT: 7880
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LIVEKIT_LOG_LEVEL: ${LIVEKIT_LOG_LEVEL:-info}
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ports:
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- "7880:7880" # HTTP/WS signaling (Caddy terminates TLS)
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- "7881:7881" # TCP fallback for WebRTC
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- "3478:3478/udp" # TURN
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- "5349:5349/tcp" # TURN over TLS
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- "50000-60000:50000-60000/udp" # WebRTC media plane
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networks:
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- app
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- proxy
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# ----------------------------------------------------------------------------
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# Volumes
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# ----------------------------------------------------------------------------
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# Defines the named volume for persisting PostgreSQL data.
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volumes:
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postgres-data:
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driver: local
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backend-venv:
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frontend-node_modules:
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# ----------------------------------------------------------------------------
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# Networks
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# ----------------------------------------------------------------------------
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# Defines the networks used by the services.
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networks:
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default:
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# The default network for internal communication between app services.
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app:
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name: app_network
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proxy:
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# This external network connects services to the Caddy reverse proxy
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# defined in `infra/docker-compose.yml`.
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name: proxy
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external: true
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