Lukas
825a67f13a
- Add _check_single_worker_mode() to startup.py that detects and rejects multi-worker configurations, raising a clear RuntimeError with instructions - Set BANGUI_WORKERS=1 as default in Dockerfile.backend - Document single-worker requirement in compose.prod.yml - Add 'Deployment Constraints' section to Architekture.md explaining why single-worker mode is required and detailing future multi-worker support - Add '9.1 Background Tasks and Scheduler Architecture' section to Backend-Development.md documenting task structure and single-worker requirement - Add comprehensive test suite (test_startup.py) covering all scenarios: allows single worker, rejects multi-worker, validates config format, and verifies informative error messages This fix addresses TASK-002 which identified that in-process APScheduler is unsafe in multi-worker deployments due to each worker creating independent scheduler instances, causing duplicate background job execution. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
111 lines
3.6 KiB
YAML
111 lines
3.6 KiB
YAML
# ──────────────────────────────────────────────────────────────
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# BanGUI — Production Compose
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#
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# Compatible with:
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# docker compose -f Docker/compose.prod.yml up -d
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# podman compose -f Docker/compose.prod.yml up -d
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# podman-compose -f Docker/compose.prod.yml up -d
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#
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# Prerequisites:
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# Create a .env file at the project root (or pass --env-file):
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# BANGUI_SESSION_SECRET=<random-secret>
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# ──────────────────────────────────────────────────────────────
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name: bangui
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services:
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# ── fail2ban ─────────────────────────────────────────────────
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fail2ban:
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image: lscr.io/linuxserver/fail2ban:latest
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container_name: bangui-fail2ban
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restart: unless-stopped
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cap_add:
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- NET_ADMIN
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- NET_RAW
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network_mode: host
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environment:
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TZ: "${BANGUI_TIMEZONE:-UTC}"
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PUID: 0
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PGID: 0
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volumes:
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- fail2ban-config:/config
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- fail2ban-run:/var/run/fail2ban
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- /var/log:/var/log:ro
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healthcheck:
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test: ["CMD", "fail2ban-client", "ping"]
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interval: 30s
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timeout: 5s
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start_period: 15s
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retries: 3
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# NOTE: The fail2ban-config volume must be pre-populated with the following files:
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# • fail2ban/jail.conf (or jail.d/*.conf) with the DEFAULT section containing:
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# banaction = iptables-allports[lockingopt="-w 5"]
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# This prevents xtables lock contention errors when multiple jails start in parallel.
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# See https://fail2ban.readthedocs.io/en/latest/development/environment.html
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# ── Backend (FastAPI + uvicorn) ─────────────────────────────
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backend:
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build:
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context: ..
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dockerfile: Docker/Dockerfile.backend
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container_name: bangui-backend
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restart: unless-stopped
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depends_on:
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fail2ban:
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condition: service_healthy
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environment:
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BANGUI_DATABASE_PATH: "/data/bangui.db"
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BANGUI_FAIL2BAN_SOCKET: "/var/run/fail2ban/fail2ban.sock"
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BANGUI_FAIL2BAN_CONFIG_DIR: "/config/fail2ban"
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BANGUI_LOG_LEVEL: "info"
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BANGUI_WORKERS: "1" # APScheduler requires single worker — do not change
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BANGUI_SESSION_SECRET: "${BANGUI_SESSION_SECRET:?Set BANGUI_SESSION_SECRET}"
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BANGUI_TIMEZONE: "${BANGUI_TIMEZONE:-UTC}"
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volumes:
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- bangui-data:/data
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- fail2ban-run:/var/run/fail2ban:ro
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- fail2ban-config:/config:rw
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expose:
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- "8000"
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healthcheck:
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test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/health')"]
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interval: 30s
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timeout: 5s
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start_period: 10s
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retries: 3
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networks:
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- bangui-net
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# ── Frontend (nginx serving built SPA + API proxy) ──────────
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frontend:
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build:
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context: ..
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dockerfile: Docker/Dockerfile.frontend
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container_name: bangui-frontend
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restart: unless-stopped
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ports:
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- "${BANGUI_PORT:-8080}:80"
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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: ["CMD", "wget", "-qO", "/dev/null", "http://localhost:80/"]
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interval: 30s
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timeout: 5s
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start_period: 5s
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retries: 3
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networks:
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- bangui-net
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volumes:
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bangui-data:
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driver: local
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fail2ban-config:
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driver: local
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fail2ban-run:
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driver: local
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networks:
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bangui-net:
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driver: bridge
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