Files
BanGUI/Docker/Dockerfile.backend
Lukas b631c1c546 feat(backend): implement graceful shutdown for container stop
Graceful shutdown ensures in-flight operations complete before process exits:
- Lifespan shutdown handler drains pending tasks with 25s timeout
- Scheduler stops accepting new jobs immediately
- HTTP session, external logging, scheduler lock, DB conn closed cleanly
- 25s Python timeout leaves 5s margin before Docker's 30s SIGKILL

Files changed:
- backend/app/main.py: enhanced _lifespan shutdown with task drain
- Docker/Dockerfile.backend: documented signal handling in header
- Docker/docker-compose.yml: added stop_grace_period: 30s
- Docker/compose.prod.yml: added stop_grace_period: 30s
- Docs/Deployment.md: new Graceful Shutdown section with sequence table
- Docs/TROUBLESHOOTING.md: new Graceful Shutdown Issues section

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-02 22:47:10 +02:00

98 lines
3.8 KiB
Docker

# ──────────────────────────────────────────────────────────────
# BanGUI — Backend image (Python / FastAPI)
#
# Compatible with Docker and Podman.
# Build context must be the project root.
#
# Usage:
# docker build -t bangui-backend -f Docker/Dockerfile.backend .
# podman build -t bangui-backend -f Docker/Dockerfile.backend .
#
# Signal handling:
# - STOPSIGNAL defaults to SIGTERM (handled by uvicorn → lifespan shutdown)
# - stop_grace_period in docker-compose.yml controls Docker's kill timeout
# - Python code allows 25s for in-flight tasks to drain before hard kill
# ──────────────────────────────────────────────────────────────
# ── Stage 1: build dependencies ──────────────────────────────
FROM docker.io/library/python:3.12-slim AS builder
WORKDIR /build
# Install build-time system dependencies
RUN apt-get update \
&& apt-get install -y --no-install-recommends gcc libffi-dev \
&& rm -rf /var/lib/apt/lists/*
COPY backend/pyproject.toml /build/
# Install Python dependencies into a virtual-env so we can copy it cleanly
RUN python -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
RUN pip install --no-cache-dir --upgrade pip \
&& pip install --no-cache-dir .
# ── Stage 2: runtime image ───────────────────────────────────
FROM docker.io/library/python:3.12-slim AS runtime
LABEL maintainer="BanGUI" \
description="BanGUI backend — fail2ban web management API"
# Install curl for healthcheck (used by Docker HEALTHCHECK and Compose healthcheck)
RUN apt-get update \
&& apt-get install -y --no-install-recommends curl \
&& rm -rf /var/lib/apt/lists/*
# Non-root user for security
RUN groupadd --gid 1000 bangui \
&& useradd --uid 1000 --gid bangui --shell /bin/bash --create-home bangui
WORKDIR /app
# Copy the pre-built virtual-env
COPY --from=builder /opt/venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH" \
PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1
# Copy application source
COPY backend/app /app/app
COPY fail2ban-master /app/fail2ban-master
# Data directory for the SQLite database
RUN mkdir -p /data && chown bangui:bangui /data
VOLUME ["/data"]
# Default environment values (override at runtime)
ENV BANGUI_DATABASE_PATH="/data/bangui.db" \
BANGUI_FAIL2BAN_SOCKET="/var/run/fail2ban/fail2ban.sock" \
BANGUI_LOG_LEVEL="info" \
BANGUI_WORKERS="1"
EXPOSE 8000
USER bangui
# Health-check using the built-in health endpoint
# Returns exit 0 (success) for HTTP 200 (fail2ban online)
# Returns exit 1 (failure) for HTTP 503 (fail2ban offline)
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
CMD curl -f http://localhost:8000/api/health || exit 1
# ⚠️ IMPORTANT: Single-Worker Requirement
# BanGUI must always run as a single worker process:
# - Do NOT pass --workers or --worker-class to uvicorn
# - Do NOT use gunicorn with -w 4 or similar
# - Do NOT override BANGUI_WORKERS to > 1
#
# Why? The session cache is process-local. Multiple workers would cause:
# - Random user logouts (sessions not shared between workers)
# - Duplicate background jobs (each worker runs the scheduler)
# - SQLite lock contention and timeouts
#
# For high availability, use container orchestration (Kubernetes, Docker Swarm)
# to run multiple instances, not multiple workers in a single process.
#
# See Docs/Architekture.md § Deployment Constraints for details.
CMD ["uvicorn", "app.main:create_app", "--factory", "--host", "0.0.0.0", "--port", "8000"]