# ============================================================
# Worker Dockerfile - 专门用于 Celery Worker
# 优化：仅包含 worker 任务所需的依赖，减小镜像体积
# ============================================================

# 基础镜像：Python 3.12 + ffmpeg
FROM python:3.12-slim-bookworm

# 安装系统依赖
RUN apt-get update && apt-get install -y --no-install-recommends \
    ffmpeg \
    libsm6 \
    libxext6 \
    libgl1-mesa-glx \
    && rm -rf /var/lib/apt/lists/*

# 设置工作目录
WORKDIR /app

# 安装 Python 依赖（优化顺序以利用 Docker 缓存）
# 先安装无变化的依赖
COPY requirements.txt /tmp/requirements.txt

# 安装 Python 包
RUN pip install --no-cache-dir -r /tmp/requirements.txt

# 复制应用代码
COPY apps/worker/ /app/apps/worker/
COPY apps/api/app/config.py /app/apps/api/app/config.py
COPY apps/api/app/core/ /app/apps/api/app/core/
COPY packages/ /app/packages/
COPY alembic.ini /app/alembic.ini
COPY migrations/ /app/migrations/

# 设置 Python 路径
ENV PYTHONPATH=/app
ENV PYTHONUNBUFFERED=1

# Worker 入口点
WORKDIR /app/apps/worker
CMD ["celery", "-A", "celery_app", "worker", "--loglevel=info", "--concurrency=2"]