FROM node:22-slim # ========= 1. 安装系统依赖 + Chromium 浏览器 ========= RUN apt-get update && apt-get install -y --no-install-recommends \ git ca-certificates build-essential python3 python3-pip curl \ chromium \ libnss3 libatk-bridge2.0-0 libdrm2 libxkbcommon0 libgbm1 libasound2 \ && rm -rf /var/lib/apt/lists/* ENV PUPPETEER_EXECUTABLE_PATH=/usr/bin/chromium RUN pip3 install --no-cache-dir huggingface_hub --break-system-packages RUN npm install -g openclaw@latest --unsafe-perm # 安装微信插件(若不需要可注释) RUN npx -y @tencent-weixin/openclaw-weixin-cli@latest install ENV PORT=7860 \ OPENCLAW_GATEWAY_MODE=local \ HOME=/root # 防止自动启用 Telegram ENV OPENCLAW_DISABLE_TELEGRAM=1 # ========= 2. 改进的 sync.py 备份恢复脚本 ========= RUN cat > /usr/local/bin/sync.py << 'SYNC_EOF' import os, sys, tarfile, subprocess, time from huggingface_hub import HfApi, hf_hub_download from datetime import datetime, timedelta api = HfApi() repo_id = os.getenv("HF_DATASET") token = os.getenv("HF_TOKEN") DATA_DIR = "/root/.openclaw" def restore(): try: print(f"--- [SYNC] 启动恢复流程, 目标仓库: {repo_id} ---") if not repo_id or not token: print("--- [SYNC] 跳过恢复: 未配置 HF_DATASET 或 HF_TOKEN ---") return False files = api.list_repo_files(repo_id=repo_id, repo_type="dataset", token=token) now = datetime.now() for i in range(5): day = (now - timedelta(days=i)).strftime("%Y-%m-%d") name = f"backup_{day}.tar.gz" if name in files: print(f"--- [SYNC] 发现备份文件: {name}, 正在下载... ---") path = hf_hub_download(repo_id=repo_id, filename=name, repo_type="dataset", token=token) # 使用 extractall 前确保目标目录存在 os.makedirs(DATA_DIR, exist_ok=True) with tarfile.open(path, "r:gz") as tar: tar.extractall(path=DATA_DIR) print(f"--- [SYNC] 恢复成功! 数据已覆盖至 {DATA_DIR} ---") return True print("--- [SYNC] 未找到最近 5 天的备份包 ---") except Exception as e: print(f"--- [SYNC] 恢复异常: {e} ---") return False def backup(): try: day = datetime.now().strftime("%Y-%m-%d") name = f"backup_{day}.tar.gz" print(f"--- [SYNC] 正在执行全量备份: {name} ---") with tarfile.open(name, "w:gz") as tar: for target in ["sessions", "workspace", "agents", "memory", "openclaw.json", "wechat-data"]: full_path = os.path.join(DATA_DIR, target) if os.path.exists(full_path): tar.add(full_path, arcname=target) api.upload_file(path_or_fileobj=name, path_in_repo=name, repo_id=repo_id, repo_type="dataset", token=token) print(f"--- [SYNC] 备份上传成功! ---") # 可选:发送微信通知(需确保微信通道可用) for _ in range(3): try: result = subprocess.run(["openclaw", "wechat", "send", "--to=me", f"备份成功: {name}"], capture_output=True, timeout=10) if result.returncode == 0: break except Exception: pass time.sleep(5) except Exception as e: print(f"--- [SYNC] 备份失败: {e} ---") if __name__ == "__main__": if len(sys.argv) > 1 and sys.argv[1] == "backup": backup() else: restore() SYNC_EOF RUN chmod +x /usr/local/bin/sync.py # ========= 3. 启动脚本 start-openclaw ========= RUN cat > /usr/local/bin/start-openclaw << 'EOF' #!/bin/bash set -e echo "Starting OpenClaw gateway..." # 恢复备份数据(在创建新文件之前执行) python3 /usr/local/bin/sync.py restore # 清理 Telegram 残留(若需要) rm -rf /root/.openclaw/agents/main/agent/channels/telegram* rm -rf /root/.openclaw/credentials/telegram* rm -f /root/.openclaw/agents/main/agent/auth-profiles.json find /root/.openclaw -name "*telegram*" -exec rm -rf {} + 2>/dev/null || true # 确保必要目录存在(不会覆盖已恢复的数据) mkdir -p /root/.openclaw/sessions mkdir -p /root/.openclaw/workspace mkdir -p /root/.openclaw/workspace/memory mkdir -p /root/.openclaw/wechat-data touch /root/.openclaw/workspace/MEMORY.md DATE=$(date +%Y-%m-%d) touch /root/.openclaw/workspace/memory/$DATE.md # 更健壮的 API Base 处理:通过环境变量直接指定,不在脚本中做字符串替换 # 你需要在 openclaw.json 中使用正确的 baseUrl,这里只做兜底 echo "当前配置的环境变量:" echo "OPENAI_API_BASE=$OPENAI_API_BASE" echo "GEMINI_API_KEY=$GEMINI_API_KEY" echo "MODEL=$MODEL" echo "=== openclaw.json content ===" cat /root/.openclaw/openclaw.json echo "=== end ===" openclaw doctor --fix # 启动定时备份(后台,每30分钟) (while true; do sleep 1800; python3 /usr/local/bin/sync.py backup; done) & # 前台运行 gateway exec openclaw gateway run --port $PORT EOF RUN chmod +x /usr/local/bin/start-openclaw # ========= 4. 导入配置文件(关键步骤) ========= # ⚠️ 重要安全提醒: # 请将你本地配置好的 openclaw.json(包含模型和通道设置,但建议使用占位符密钥) # 放到与 Dockerfile 同一目录下,然后取消下面这行的注释。 # 切勿将包含真实 API Key 的 openclaw.json 提交到公开仓库! # ------------------------------------------------ # RUN mkdir -p /root/.openclaw # COPY openclaw.json /root/.openclaw/openclaw.json # ------------------------------------------------ # 你可以改用环境变量动态生成配置文件,或者在 Hugging Face Spaces 的 Settings 中 # 通过 Repository secrets 注入完整的 openclaw.json 内容(需要额外脚本处理)。 EXPOSE 7860 CMD ["/usr/local/bin/start-openclaw"]