Upload 4 files

Dockerfile

@@ -0,0 +1,89 @@
+FROM node:22-slim
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    git ca-certificates build-essential python3 python3-pip curl \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN npm install -g openclaw@latest --unsafe-perm
+
+# 安装微信插件
+RUN npx -y @tencent-weixin/openclaw-weixin-cli@latest install
+
+ENV PORT=7860 \
+    OPENCLAW_GATEWAY_MODE=local \
+    HOME=/root
+
+RUN echo '#!/bin/bash\n\
+set -e\n\
+mkdir -p /root/.openclaw/sessions\n\
+mkdir -p /root/.openclaw/workspace\n\
+mkdir -p /root/.openclaw/workspace/memory\n\
+mkdir -p /root/.openclaw/wechat-data\n\
+touch /root/.openclaw/workspace/MEMORY.md\n\
+DATE=$(date +%Y-%m-%d)\n\
+touch /root/.openclaw/workspace/memory/$DATE.md\n\
+\n\
+CLEAN_BASE=$(echo "$OPENAI_API_BASE" | sed "s|/chat/completions||g" | sed "s|/v1/|/v1|g" | sed "s|/v1$|/v1|g")\n\
+\n\
+if [ -n "$GEMINI_API_KEY" ]; then\n\
+  PROVIDER="google"\n\
+  API_KEY_VAR="$GEMINI_API_KEY"\n\
+  BASE_URL_VAR="https://generativelanguage.googleapis.com/v1beta"\n\
+  MODEL_VAR="$MODEL"\n\
+  PRIMARY_MODEL="google/$MODEL_VAR"\n\
+  API_TYPE="google-generative-ai"\n\
+else\n\
+  PROVIDER="openai"\n\
+  API_KEY_VAR="$OPENAI_API_KEY"\n\
+  BASE_URL_VAR="$CLEAN_BASE"\n\
+  MODEL_VAR="$MODEL"\n\
+  PRIMARY_MODEL="openai/$MODEL_VAR"\n\
+  API_TYPE="openai-completions"\n\
+fi\n\
+\n\
+cat > /root/.openclaw/openclaw.json <<EOF\n\
+{\n\
+  "models": {\n\
+    "providers": {\n\
+      "$PROVIDER": {\n\
+        "baseUrl": "$BASE_URL_VAR",\n\
+        "apiKey": "$API_KEY_VAR",\n\
+        "api": "$API_TYPE",\n\
+        "models": [{ "id": "$MODEL_VAR", "name": "$MODEL_VAR", "contextWindow": 128000 }]\n\
+      }\n\
+    }\n\
+  },\n\
+  "agents": { "defaults": { "model": { "primary": "$PRIMARY_MODEL" } } },\n\
+  "gateway": {\n\
+    "mode": "local",\n\
+    "bind": "lan",\n\
+    "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, "allowedOrigins": ["*"] }\n\
+  },\n\
+  "plugins": {\n\
+    "allow": ["openclaw-weixin"]\n\
+  },\n\
+  "channels": {\n\
+    "openclaw-weixin": {\n\
+      "enabled": true,\n\
+      "dataDir": "/root/.openclaw/wechat-data",\n\
+      "autoLogin": true\n\
+    }\n\
+  }\n\
+}\n\
+EOF\n\
+\n\
+echo "=== openclaw.json content ==="\n\
+cat /root/.openclaw/openclaw.json\n\
+echo "=== end ==="\n\
+\n\
+openclaw doctor --fix\n\
+\n\
+# 启动网关（前台运行，保持容器活跃）\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"]

README.md

@@ -1,12 +1,9 @@
 ---
 title: Openclaw
-emoji: 🌍
-colorFrom: blue
-colorTo: yellow
+emoji: 🦞
+colorFrom: pink
+colorTo: red
 sdk: docker
+port: 18789
 pinned: false
-license: mit
-short_description: openclaw
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---

start-openclaw

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+#!/bin/bash
+set -e
+
+rm -f /root/.openclaw/openclaw.json
+
+mkdir -p /root/.openclaw/sessions
+mkdir -p /root/.openclaw/workspace
+
+# 根据 Secrets 自动选择 provider
+if [ -n "$GEMINI_API_KEY" ]; then
+  PROVIDER="google"
+  API_KEY_VAR="$GEMINI_API_KEY"
+  BASE_URL_VAR="https://generativelanguage.googleapis.com/v1beta"
+  MODEL_VAR="$MODEL"
+  PRIMARY_MODEL="google/$MODEL_VAR"
+  API_TYPE="google-generative-ai"
+else
+  PROVIDER="openai"
+  API_KEY_VAR="$OPENAI_API_KEY"
+  CLEAN_BASE=$(echo "$OPENAI_API_BASE" | sed "s|/chat/completions||g" | sed "s|/v1/|/v1|g" | sed "s|/v1$|/v1|g")
+  BASE_URL_VAR="$CLEAN_BASE"
+  MODEL_VAR="$MODEL"
+  PRIMARY_MODEL="openai/$MODEL_VAR"
+  API_TYPE="openai-completions"
+fi
+
+cat > /root/.openclaw/openclaw.json <<EOF
+{
+  "models": {
+    "providers": {
+      "$PROVIDER": {
+        "baseUrl": "$BASE_URL_VAR",
+        "apiKey": "$API_KEY_VAR",
+        "api": "$API_TYPE",
+        "models": [{ "id": "$MODEL_VAR", "name": "$MODEL_VAR", "contextWindow": 128000 }]
+      }
+    }
+  },
+  "agents": {
+    "defaults": {
+      "model": {
+        "primary": "$PRIMARY_MODEL"
+      }
+    }
+  },
+  "gateway": {
+    "mode": "local",
+    "bind": "lan",
+    "port": $PORT,
+    "trustedProxies": ["0.0.0.0/0", "10.0.0.0/8", "172.16.0.0/12", "192.168.0.0/16"],
+    "auth": {
+      "mode": "token",
+      "token": "$OPENCLAW_GATEWAY_PASSWORD"
+    },
+    "controlUi": {
+      "allowInsecureAuth": true,
+      "allowedOrigins": ["*"]
+    }
+  },
+  "channels": {
+    "telegram": {
+      "enabled": true,
+      "botToken": "$TELEGRAM_BOT_TOKEN"
+    }
+  }
+}
+EOF
+
+echo "=== openclaw.json content ==="
+cat /root/.openclaw/openclaw.json
+echo "=== end ==="
+
+# 启动网关（后台运行）
+openclaw gateway run --port $PORT &
+GATEWAY_PID=$!
+
+# 等待网关完全启动
+sleep 8
+
+# 自动批准 Telegram 配对（支持表格和旧格式）
+echo "Starting Telegram auto-pairing..."
+for i in {1..10}; do
+    PAIR_OUTPUT=$(openclaw pairing list 2>/dev/null || true)
+    echo "Attempt $i: pairing list output:"
+    echo "$PAIR_OUTPUT"
+
+    CODE=""
+    CODE=$(echo "$PAIR_OUTPUT" | grep -oP 'Pairing code: \K[A-Z0-9]{7,}' | head -1)
+    if [ -z "$CODE" ]; then
+        CODE=$(echo "$PAIR_OUTPUT" | awk '/^│ Code/ {getline; split($0, a, "│"); gsub(/^ +| +$/, "", a[2]); if (a[2] ~ /^[A-Z0-9]{7,}$/) print a[2]}' | head -1)
+    fi
+    if [ -z "$CODE" ]; then
+        CODE=$(echo "$PAIR_OUTPUT" | grep -oE '[A-Z0-9]{7,}' | grep -v "PAIRING" | grep -v "REQUEST" | head -1)
+    fi
+
+    if [ -n "$CODE" ]; then
+        echo "Found pairing code: $CODE"
+        openclaw pairing approve telegram "$CODE"
+        echo "Approval sent. Bot should now respond."
+        break
+    else
+        echo "No pending pairing code found (attempt $i/10). Waiting 5 seconds..."
+        sleep 5
+    fi
+done
+
+wait $GATEWAY_PID

sync.py

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+import os, sys, tarfile
+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")
+
+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)
+                with tarfile.open(path, "r:gz") as tar:
+                    tar.extractall(path="/root/.openclaw/")
+                print(f"--- [SYNC] 恢复成功! 数据已覆盖至 /root/.openclaw/ ---")
+                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} ---")
+
+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"]:
+                full_path = f"/root/.openclaw/{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! ---")
+    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()