xiaoxia
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- 拆分 requirements.txt: 稳定大包放 requirements-base.txt（numpy/scipy/opencv/Pillow/sqlalchemy 等），业务依赖留 requirements.txt - 优化 Dockerfile: 分两层安装依赖，基础层缓存命中率高 - CI 改用 docker buildx build，缓存存 Gitea Container Registry - 启用 Gitea Packages/Container Registry（git.xiaoxiajianji.com） - 镜像仍推内网 Registry（172.30.18.198:5000），缓存独立存 Gitea Registry
57 lines
2.0 KiB
Docker
Executable File
57 lines
2.0 KiB
Docker
Executable File
# ============================================================
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# Worker Dockerfile - 专门用于 Celery Worker
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# 优化：依赖分层缓存，基础大包和业务依赖分开
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# ============================================================
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# 基础镜像：Python 3.12 + ffmpeg
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FROM python:3.12-slim-bookworm
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# 使用阿里云镜像加速
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RUN sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources 2>/dev/null || \
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sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list 2>/dev/null || true
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# 安装系统依赖
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ffmpeg \
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libsm6 \
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libxext6 \
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libgl1-mesa-glx \
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&& rm -rf /var/lib/apt/lists/*
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# 设置工作目录
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WORKDIR /app
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# ---- 依赖分层：基础依赖（变化少，缓存命中率高）----
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COPY requirements-base.txt /tmp/requirements-base.txt
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RUN pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com -r /tmp/requirements-base.txt \
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&& rm /tmp/requirements-base.txt
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# ---- 依赖分层：业务依赖（变化频繁）----
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COPY requirements.txt /tmp/requirements.txt
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RUN pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com -r /tmp/requirements.txt \
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&& rm /tmp/requirements.txt
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# 复制应用代码
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COPY apps/worker/ /app/apps/worker/
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COPY apps/api/app/config.py /app/apps/api/app/config.py
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COPY apps/api/app/core/ /app/apps/api/app/core/
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COPY packages/ /app/packages/
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COPY alembic.ini /app/alembic.ini
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COPY migrations/ /app/migrations/
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# 设置 Python 路径
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ENV PYTHONPATH=/app
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ENV PYTHONUNBUFFERED=1
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# 创建非 root 用户运行 Worker
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RUN groupadd -r celery && useradd -r -g celery -d /app -s /sbin/nologin celery \
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&& mkdir -p /app/generated && chown celery:celery /app/generated
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USER celery
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# Worker 入口点
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WORKDIR /app/apps/worker
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CMD ["celery", "-A", "worker_app.celery_app", "worker", "--loglevel=info", "--concurrency=2"]
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