life-echo/api/Dockerfile

# Life Echo API Dockerfile
FROM python:3.13-slim

# 安装系统依赖 + uv
RUN apt-get update && apt-get install -y --no-install-recommends \
    gcc \
    g++ \
    libc6-dev \
    libffi-dev \
    libxml2-dev \
    libxslt1-dev \
    libjpeg-dev \
    zlib1g-dev \
    libpng-dev \
    libfreetype6-dev \
    && rm -rf /var/lib/apt/lists/*

COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv

WORKDIR /app

# 先复制依赖清单，利用 Docker 缓存
COPY pyproject.toml uv.lock ./
RUN uv sync --frozen --no-dev --no-install-project

# 复制应用代码
COPY . .

# 构建时预下载 faster-whisper 模型
ARG ASR_MODEL_SIZE=small
RUN uv run python -c "from faster_whisper import WhisperModel; WhisperModel('${ASR_MODEL_SIZE}', device='cpu', compute_type='int8', download_root='/app/models/whisper')"

# 非 root 用户
RUN useradd -m -u 1000 appuser && chown -R appuser:appuser /app
USER appuser

EXPOSE 8000

HEALTHCHECK --interval=30s --timeout=10s --start-period=10s --retries=3 \
    CMD python -c "import http.client; conn = http.client.HTTPConnection('localhost', 8000); conn.request('GET', '/health'); r = conn.getresponse(); exit(0 if r.status == 200 else 1)" || exit 1

# 启动前执行 Alembic 迁移，再启动 uvicorn
CMD ["sh", "-c", "uv run alembic upgrade head && uv run uvicorn main:app --host 0.0.0.0 --port 8000"]