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Docker 优化： - Dockerfile 层缓存（requirements/lockfile 先复制再安装） - ARG 可配置镜像源，国际用户可覆盖为默认源 - 前端 Dockerfile 改用 corepack + frozen-lockfile - 精简 .dockerignore，排除 .git 和 Tauri 构建产物 CI/CD 优化： - docker-build 自动推送到 GHCR，支持 amd64/arm64 双架构 - 桌面端 CI 增加 pip/pnpm/cargo 缓存，升级 actions 版本 - Python 版本对齐为 3.11，增加 Linux 构建矩阵 - build.sh 加 -y 覆盖标志 文档更新： - README Docker 部署简化为 docker pull + docker run Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
28 lines
1.1 KiB
Docker
28 lines
1.1 KiB
Docker
FROM nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04
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ARG APT_MIRROR=mirrors.tuna.tsinghua.edu.cn
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ARG PIP_INDEX=https://pypi.tuna.tsinghua.edu.cn/simple
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RUN rm -f /etc/apt/sources.list && \
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rm -rf /etc/apt/sources.list.d/* && \
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echo "deb https://${APT_MIRROR}/ubuntu jammy main restricted universe multiverse" > /etc/apt/sources.list && \
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echo "deb https://${APT_MIRROR}/ubuntu jammy-updates main restricted universe multiverse" >> /etc/apt/sources.list && \
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echo "deb https://${APT_MIRROR}/ubuntu jammy-security main restricted universe multiverse" >> /etc/apt/sources.list && \
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apt-get update && \
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apt-get install -y --no-install-recommends ffmpeg python3-pip curl && \
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rm -rf /var/lib/apt/lists/*
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ENV HF_ENDPOINT=https://hf-mirror.com
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WORKDIR /app
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# 先复制 requirements.txt 利用层缓存
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COPY ./backend/requirements.txt /app/requirements.txt
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RUN pip install --no-cache-dir -i ${PIP_INDEX} -r requirements.txt && \
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pip install --no-cache-dir -i ${PIP_INDEX} 'transformers[torch]>=4.23'
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# 再复制应用代码
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COPY ./backend /app
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CMD ["python3", "main.py"]
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