Create sync_data.sh

sync_data.sh

@@ -0,0 +1,115 @@
+#!/bin/sh
+
+
+# 检查环境变量
+if [ -z "$HF_TOKEN" ] || [ -z "$DATASET_ID" ]; then
+    echo "Starting without backup functionality - missing HF_TOKEN or DATASET_ID"
+    exit 1
+fi
+
+# 激活虚拟环境
+. /home/app/venv/bin/activate
+
+# 创建Python脚本
+cat > /home/app/uptime-kuma/hf_sync.py << 'EOL'
+from huggingface_hub import HfApi
+import sys
+import os
+import tarfile
+import tempfile
+
+def upload_backup(file_path, file_name, token, repo_id):
+    api = HfApi(token=token)
+    try:
+        api.upload_file(
+            path_or_fileobj=file_path,
+            path_in_repo=file_name,
+            repo_id=repo_id,
+            repo_type="dataset"
+        )
+        print(f"Successfully uploaded {file_name}")
+    except Exception as e:
+        print(f"Error uploading file: {str(e)}")
+
+def download_latest_backup(token, repo_id):
+    try:
+        api = HfApi(token=token)
+        files = api.list_repo_files(repo_id=repo_id, repo_type="dataset")
+        backup_files = [f for f in files if f.startswith('backup_') and f.endswith('.tar.gz')]
+        
+        if not backup_files:
+            print("No backup files found")
+            return
+            
+        latest_backup = sorted(backup_files)[-1]
+        
+        with tempfile.TemporaryDirectory() as temp_dir:
+            filepath = api.hf_hub_download(
+                repo_id=repo_id,
+                filename=latest_backup,
+                repo_type="dataset",
+                local_dir=temp_dir
+            )
+            
+            if filepath and os.path.exists(filepath):
+                with tarfile.open(filepath, 'r:gz') as tar:
+                    tar.extractall('/home/app/uptime-kuma/')
+                print(f"Successfully restored backup from {latest_backup}")
+                
+    except Exception as e:
+        print(f"Error downloading backup: {str(e)}")
+
+if __name__ == "__main__":
+    action = sys.argv[1]
+    token = sys.argv[2]
+    repo_id = sys.argv[3]
+    
+    if action == "upload":
+        file_path = sys.argv[4]
+        file_name = sys.argv[5]
+        upload_backup(file_path, file_name, token, repo_id)
+    elif action == "download":
+        download_latest_backup(token, repo_id)
+EOL
+
+# 首次启动时从HuggingFace下载最新备份
+echo "Downloading latest backup from HuggingFace..."
+python hf_sync.py download "${HF_TOKEN}" "${DATASET_ID}"
+
+# 同步函数
+sync_data() {
+    while true; do
+        echo "Starting sync process at $(date)"
+        
+        # 确保数据目录存在
+        if [ -d "/home/app/uptime-kuma/data" ]; then
+            # 创建备份
+            cd /home/app/uptime-kuma
+            timestamp=$(date +%Y%m%d_%H%M%S)
+            backup_file="backup_${timestamp}.tar.gz"
+            
+            # 压缩数据目录
+            tar -czf "/tmp/${backup_file}" data/
+            
+            # 上传到HuggingFace
+            echo "Uploading backup to HuggingFace..."
+            python hf_sync.py upload "${HF_TOKEN}" "${DATASET_ID}" "/tmp/${backup_file}" "${backup_file}"
+            
+            # 清理临时文件
+            rm -f "/tmp/${backup_file}"
+        else
+            echo "Data directory does not exist yet, waiting for next sync..."
+        fi
+        
+        # 同步间隔
+        SYNC_INTERVAL=${SYNC_INTERVAL:-7200}
+        echo "Next sync in ${SYNC_INTERVAL} seconds..."
+        sleep $SYNC_INTERVAL
+    done
+}
+
+# 启动同步进程
+sync_data &
+
+# 启动主应用
+exec node server/server.js