cfc/cfc-langgraph/Dockerfile

# ── 运行镜像 ──
FROM python:3.12-slim

ENV TZ=Asia/Shanghai
RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone

WORKDIR /app

# 使用本地 .venv 的 site-packages（已验证包含 gunicorn 26.0.0 / fastapi 0.139.2，
# 避免构建时从 pypi 重新下载导致版本漂移或网络失败）
COPY .venv/lib/python3.12/site-packages/ /usr/local/lib/python3.12/site-packages/

COPY app/ app/
COPY src/ src/
COPY data/ data/

# 预下载 faster-whisper base 模型（避免启动时慢下载）
ENV HF_ENDPOINT=https://hf-mirror.com
RUN python3 -c "from faster_whisper import WhisperModel; WhisperModel('base', device='cpu', compute_type='int8')" 2>/dev/null; \
    chmod -R u+rwX /root/.cache || true

RUN useradd -m -u 1000 appuser && \
    chown -R appuser:appuser /app && \
    mkdir -p /data/chroma_db && \
    chown -R appuser:appuser /data

# 预置 DeepFace 情绪识别模型（避开 GitHub 下载限速）
RUN mkdir -p /home/appuser/.deepface/weights && \
    cp /app/data/deepface-weights/*.h5 /home/appuser/.deepface/weights/ 2>/dev/null || true && \
    chown -R appuser:appuser /home/appuser/.deepface

USER appuser

EXPOSE 9000

CMD ["python3", "-m", "gunicorn", "app.main:app", \
     "--worker-class", "uvicorn.workers.UvicornWorker", \
     "--bind", "0.0.0.0:9000", \
     "--workers", "1", \
     "--timeout", "600", \
     "--keep-alive", "10", \
     "--access-logfile", "-", \
     "--error-logfile", "-"]