myclawd / Dockerfile
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# 核心镜像:Node 22 slim 保证了环境的现代性与轻量化
FROM node:22-slim
# 1. 安装系统依赖
# 包含:git (拉取依赖), openssh-client (解决构建报错), build-essential/g++/make (编译原生模块), python3 (运行同步脚本)
RUN apt-get update && apt-get install -y --no-install-recommends \
git openssh-client build-essential python3 python3-pip \
g++ make ca-certificates \
&& rm -rf /var/lib/apt/lists/*
# 2. 安装 Hugging Face 命令行工具
RUN pip3 install --no-cache-dir huggingface_hub --break-system-packages
# 3. 构建环境优化
# 修复 Git 证书问题并将所有 SSH 协议重定向为 HTTPS
RUN update-ca-certificates && \
git config --global http.sslVerify false && \
git config --global url."https://github.com/".insteadOf ssh://git@github.com/
# 4. 全局安装 OpenClaw
RUN npm install -g openclaw@latest --unsafe-perm
# 5. 设置环境变量
ENV PORT=7860 \
OPENCLAW_GATEWAY_MODE=local \
HOME=/root
# 6. 核心同步引擎 (sync.py)
# 针对 OpenClaw 新版 MEMORY.md 机制进行了全路径覆盖
RUN echo 'import os, sys, tarfile\n\
from huggingface_hub import HfApi, hf_hub_download\n\
from datetime import datetime, timedelta\n\
api = HfApi()\n\
repo_id = os.getenv("HF_DATASET")\n\
token = os.getenv("HF_TOKEN")\n\
\n\
def restore():\n\
try:\n\
print(f"--- [SYNC] 启动恢复流程, 目标仓库: {repo_id} ---")\n\
if not repo_id or not token:\n\
print("--- [SYNC] 跳过恢复: 未配置 HF_DATASET 或 HF_TOKEN ---")\n\
return False\n\
files = api.list_repo_files(repo_id=repo_id, repo_type="dataset", token=token)\n\
now = datetime.now()\n\
for i in range(5):\n\
day = (now - timedelta(days=i)).strftime("%Y-%m-%d")\n\
name = f"backup_{day}.tar.gz"\n\
if name in files:\n\
print(f"--- [SYNC] 发现备份文件: {name}, 正在下载... ---")\n\
path = hf_hub_download(repo_id=repo_id, filename=name, repo_type="dataset", token=token)\n\
with tarfile.open(path, "r:gz") as tar:\n\
tar.extractall(path="/root/.openclaw/")\n\
print(f"--- [SYNC] 恢复成功! 数据已覆盖至 /root/.openclaw/ ---")\n\
return True\n\
print("--- [SYNC] 未找到最近 5 天的备份包 ---")\n\
except Exception as e:\n\
print(f"--- [SYNC] 恢复异常: {e} ---")\n\
\n\
def backup():\n\
try:\n\
day = datetime.now().strftime("%Y-%m-%d")\n\
name = f"backup_{day}.tar.gz"\n\
print(f"--- [SYNC] 正在执行全量备份: {name} ---")\n\
with tarfile.open(name, "w:gz") as tar:\n\
# 路径说明:sessions(网关历史), workspace(记忆文件), agents(配置), memory(旧版目录)\n\
for target in ["sessions", "workspace", "agents", "memory", "openclaw.json"]:\n\
full_path = f"/root/.openclaw/{target}"\n\
if os.path.exists(full_path):\n\
tar.add(full_path, arcname=target)\n\
api.upload_file(path_or_fileobj=name, path_in_repo=name, repo_id=repo_id, repo_type="dataset", token=token)\n\
print(f"--- [SYNC] 备份上传成功! ---")\n\
except Exception as e:\n\
print(f"--- [SYNC] 备份失败: {e} ---")\n\
\n\
if __name__ == "__main__":\n\
if len(sys.argv) > 1 and sys.argv[1] == "backup":\n\
backup()\n\
else:\n\
restore()' > /usr/local/bin/sync.py
# 7. 容器入口脚本 (start-openclaw)
# 负责恢复数据 -> 生成配置 -> 启动网关 -> 定时备份
RUN echo '#!/bin/bash\n\
set -e\n\
mkdir -p /root/.openclaw/sessions\n\
mkdir -p /root/.openclaw/workspace\n\
\n\
# 启动前执行数据恢复\n\
python3 /usr/local/bin/sync.py restore\n\
\n\
# 清理 API Base 地址\n\
CLEAN_BASE=$(echo "$OPENAI_API_BASE" | sed "s|/chat/completions||g" | sed "s|/v1/|/v1|g" | sed "s|/v1$|/v1|g")\n\
\n\
# 生成 openclaw.json 配置文件\n\
cat > /root/.openclaw/openclaw.json <<EOF\n\
{\n\
"models": {\n\
"providers": {\n\
"siliconflow": {\n\
"baseUrl": "$CLEAN_BASE",\n\
"apiKey": "$OPENAI_API_KEY",\n\
"api": "openai-completions",\n\
"models": [{ "id": "$MODEL", "name": "DeepSeek", "contextWindow": 128000 }]\n\
}\n\
}\n\
},\n\
"agents": { "defaults": { "model": { "primary": "siliconflow/$MODEL" } } },\n\
"gateway": {\n\
"mode": "local", "bind": "lan", "port": $PORT,\n\
"trustedProxies": ["0.0.0.0/0", "10.0.0.0/8", "172.16.0.0/12", "192.168.0.0/16"],\n\
"auth": { "mode": "token", "token": "$OPENCLAW_GATEWAY_PASSWORD" },\n\
"controlUi": { "allowInsecureAuth": true }\n\
}\n\
}\n\
EOF\n\
\n\
# 启动定时备份进程 (每 3 小时执行一次,增强安全性)\n\
(while true; do\n\
sleep 10800\n\
python3 /usr/local/bin/sync.py backup\n\
done) &\n\
\n\
# 启动 OpenClaw 网关\n\
openclaw doctor --fix\n\
exec openclaw gateway run --port $PORT\n\
' > /usr/local/bin/start-openclaw && chmod +x /usr/local/bin/start-openclaw
EXPOSE 7860
CMD ["/usr/local/bin/start-openclaw"]