anthropic-skills/docker/Dockerfile.backend

69 lines
1.5 KiB
Docker

# ============================================
# Multi-stage build for production backend
# ============================================
# Stage 1: Build dependencies
FROM python:3.11-slim AS builder
ARG PYTHON_VERSION=3.11
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y \
gcc \
g++ \
libsndfile1 \
ffmpeg \
&& rm -rf /var/lib/apt/lists/*
# Install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir --user -r requirements.txt
# Stage 2: Production runtime
FROM python:3.11-slim AS production
WORKDIR /app
# Install runtime dependencies only
RUN apt-get update && apt-get install -y \
libsndfile1 \
ffmpeg \
curl \
&& rm -rf /var/lib/apt/lists/*
# Copy Python dependencies from builder
COPY --from=builder /root/.local /root/.local
# Make sure scripts in .local are usable
ENV PATH=/root/.local/bin:$PATH
# Copy application code
COPY . .
# Create non-root user
RUN useradd -m -u 1000 appuser && \
chown -R appuser:appuser /app
# Switch to non-root user
USER appuser
# Expose port
EXPOSE 8000
# Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=10s --retries=3 \
CMD curl -f http://localhost:8000/health || exit 1
# Run application with gunicorn
CMD ["gunicorn", "app.main:app", \
"--workers", "4", \
"--worker-class", "uvicorn.workers.UvicornWorker", \
"--bind", "0.0.0.0:8000", \
"--timeout", "120", \
"--keep-alive", "5", \
"--access-logfile", "-", \
"--error-logfile", "-", \
"--log-level", "info"]