93 lines
4.6 KiB
Docker
93 lines
4.6 KiB
Docker
# Per-user sandbox base image (DESIGN §7.5).
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# 长驻 per-user 容器,工具调用走 `docker exec --user 1000:1000 --workdir /workspace/<wd> setsid <cmd>`(Step 3 接入)。
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#
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# 启动协议:tini(PID 1,reap 僵尸) → init.sh(root,跑 iptables 配 blocklist) → sleep infinity。
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# `docker exec` 进来的进程由 --user flag 决定身份 ── 应用层(DockerExecutor)硬编 --user 1000,
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# 不继承 PID 1 的 root 上下文。
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#
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# 构建上下文 = repo 根(用 -f 指定 Dockerfile 路径):
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# docker build -f deploy/sandbox/Dockerfile -t zcbot-sandbox \
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# --build-arg HOST_UID=$(id -u zcbot) --build-arg HOST_GID=$(id -g zcbot) .
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FROM python:3.11-slim
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# - iptables / ip6tables: init.sh 配 blocklist 需要(NET_ADMIN cap 在 docker run 处加)
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# - iproute2: ip 命令(调试 / 排查)
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# - netbase: /etc/protocols /etc/services(curl / 多数网络库依赖)
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# - ca-certificates: HTTPS 出网(经 proxy 也要,Step 4)
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# - tini: PID 1 信号转发 + 僵尸 reaper(setsid 包出的进程组结束时 PID 1 兜底回收)
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RUN apt-get update && apt-get install -y --no-install-recommends \
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iptables iproute2 netbase ca-certificates tini \
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&& rm -rf /var/lib/apt/lists/*
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# 容器内非 root 用户的 uid/gid 必须与 host 上 `zcbot` 用户对齐(bind mount 保 host owner;
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# 错配会导致 exec 进来后 write /workspace 时 EACCES)。build-arg 默认 1000,部署时按
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# `id -u zcbot` 实际值显式传(详 RUN.md "sandbox 部署"段)。
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ARG HOST_UID=1000
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ARG HOST_GID=1000
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RUN groupadd -g ${HOST_GID} zcbot && useradd -u ${HOST_UID} -g ${HOST_GID} -m -s /bin/bash zcbot
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# 装全套 requirements ── 模型在 run_python 里写的脚本可能用 fastapi / sqlalchemy / litellm
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# 等,装齐免 "ModuleNotFoundError" 摩擦。镜像偏大(~1G)是接受成本。
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#
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# pip 源可配(境内访问 files.pythonhosted.org 慢 / ReadTimeout):
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# --build-arg PIP_INDEX_URL=https://mirrors.cloud.tencent.com/pypi/simple/ # 腾讯云内网
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# --build-arg PIP_INDEX_URL=https://mirrors.aliyun.com/pypi/simple/ # 阿里云
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# --build-arg PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple/ # 清华
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# 默 PyPI 官方;timeout 拉到 60s 兜底抖动。
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ARG PIP_INDEX_URL=https://pypi.org/simple/
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ARG PIP_TRUSTED_HOST=
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COPY requirements.txt /tmp/requirements.txt
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RUN pip install --no-cache-dir \
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--index-url ${PIP_INDEX_URL} \
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${PIP_TRUSTED_HOST:+--trusted-host ${PIP_TRUSTED_HOST}} \
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--timeout 60 \
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-r /tmp/requirements.txt \
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&& rm /tmp/requirements.txt
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# Node + mermaid-cli + Chromium ── proposal / patent skill 渲 mermaid 图必备
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# 镜像膨胀约 +400MB,接受成本(ASCII fallback 出 docx 没图不能用)
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# Debian bookworm 自带 nodejs 18.x + chromium,够新;不走 NodeSource repo 减一步外网
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RUN apt-get update && apt-get install -y --no-install-recommends \
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chromium nodejs npm \
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&& rm -rf /var/lib/apt/lists/*
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# npm 源可配(同 pip 一样,境内访问 registry.npmjs.org 慢):
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# --build-arg NPM_REGISTRY=https://mirrors.cloud.tencent.com/npm/ # 腾讯云
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# --build-arg NPM_REGISTRY=https://registry.npmmirror.com/ # 阿里
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ARG NPM_REGISTRY=https://registry.npmjs.org/
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# Puppeteer 用容器内已装的 chromium 而非自带下载(省 ~300MB + 避免下载失败)
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ENV PUPPETEER_SKIP_DOWNLOAD=true
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ENV PUPPETEER_EXECUTABLE_PATH=/usr/bin/chromium
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ENV MERMAID_PUPPETEER_CONFIG=/sandbox/puppeteer-config.json
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RUN npm config set registry ${NPM_REGISTRY} \
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&& npm install -g @mermaid-js/mermaid-cli@latest \
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&& npm cache clean --force
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# 容器内 puppeteer 启动 chromium 必备:no-sandbox(容器已 hardening 不需要 chromium 自家
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# sandbox 再叠一层 setuid)、disable-setuid-sandbox(同上)、disable-dev-shm-usage
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# (容器 /dev/shm 默 64MB 不够 chromium,让它走 /tmp)
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RUN mkdir -p /sandbox && cat > /sandbox/puppeteer-config.json <<'EOF'
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{
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"executablePath": "/usr/bin/chromium",
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"args": ["--no-sandbox", "--disable-setuid-sandbox", "--disable-dev-shm-usage"]
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}
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EOF
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# fs 工具进容器(§7.5 #6,2026-05-26 修正)── tool_runner.py 在容器内通过
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# `python /sandbox/tool_runner.py <name>` 调用 tools/fs.py 的 Tool 子类,read/write/
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# edit/glob/grep 全在容器内执行,物理边界替代代码护栏。tools/ 目录与 host 同步
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# (build 时 COPY,不挂 mount ── 容器内代码不应跟随 host repo 修改重启)。
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COPY tools/ /sandbox/tools/
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COPY core/sandbox/tool_runner.py /sandbox/tool_runner.py
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COPY deploy/sandbox/init.sh /init.sh
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RUN chmod +x /init.sh
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# 默认 cwd /workspace ── 但每次 `docker exec --workdir /workspace/<wd>` 会覆盖
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WORKDIR /workspace
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ENTRYPOINT ["/usr/bin/tini", "--"]
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CMD ["/init.sh"]
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