# 美家卡智影 API - Docker 镜像 (使用 uv 优化)
# ===========================================

FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim AS builder

# 设置 uv 环境变量
ENV UV_COMPILE_BYTECODE=1 \
    UV_LINK_MODE=copy \
    UV_PYTHON_DOWNLOADS=never

WORKDIR /app

# 先复制锁定文件，利用 Docker 缓存层
COPY requirements.lock pyproject.toml ./

# 创建虚拟环境并安装依赖（利用 uv 的速度优势）
RUN uv venv /opt/venv && \
    uv pip sync --python /opt/venv/bin/python requirements.lock

# 复制应用代码
COPY app/ ./app/

# 安装应用本身（不安装 dev 依赖）
RUN uv pip install --python /opt/venv/bin/python --no-deps -e .

# ===== 生产镜像 =====
FROM python:3.13-slim AS production

ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PATH="/opt/venv/bin:$PATH"

# 从 builder 复制虚拟环境
COPY --from=builder /opt/venv /opt/venv

WORKDIR /app

# 复制应用代码
COPY app/ ./app/
COPY pyproject.toml .

EXPOSE 8000

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]