Create sync_data.sh

sync_data.sh

@@ -0,0 +1,113 @@
+#!/bin/sh
+
+# 检查环境变量
+if [ -z "$HF_TOKEN" ] || [ -z "$DATASET_ID" ]; then
+    echo "缺少必要的环境变量 HF_TOKEN 或 DATASET_ID"
+    exit 1
+fi
+
+# 创建 Python 脚本用于与 Hugging Face 交互
+cat > /tmp/hf_sync.py << 'EOL'
+from huggingface_hub import HfApi
+import sys
+import os
+
+def manage_backups(api, repo_id, max_files=50):
+    files = api.list_repo_files(repo_id=repo_id, repo_type="dataset")
+    backup_files = [f for f in files if f.startswith('pandora_backup_') and f.endswith('.db')]
+    backup_files.sort()
+    
+    if len(backup_files) >= max_files:
+        files_to_delete = backup_files[:(len(backup_files) - max_files + 1)]
+        for file_to_delete in files_to_delete:
+            try:
+                api.delete_file(path_in_repo=file_to_delete, repo_id=repo_id, repo_type="dataset")
+                print(f'已删除旧备份: {file_to_delete}')
+            except Exception as e:
+                print(f'删除 {file_to_delete} 时出错: {str(e)}')
+
+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"成功上传 {file_name}")
+        manage_backups(api, repo_id)
+    except Exception as e:
+        print(f"文件上传出错: {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('pandora_backup_') and f.endswith('.db')]
+        
+        if not backup_files:
+            print("未找到备份文件")
+            return
+            
+        latest_backup = sorted(backup_files)[-1]
+        
+        filepath = api.hf_hub_download(
+            repo_id=repo_id,
+            filename=latest_backup,
+            repo_type="dataset"
+        )
+        
+        if filepath and os.path.exists(filepath):
+            os.makedirs('/app/db', exist_ok=True)
+            os.system(f'cp "{filepath}" /app/db/pandora.db')
+            print(f"成功从 {latest_backup} 恢复备份")
+                
+    except Exception as e:
+        print(f"下载备份时出错: {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
+
+# 首次启动时下载最新备份
+echo "正在从 Hugging Face 下载最新备份..."
+python3 /tmp/hf_sync.py download "${HF_TOKEN}" "${DATASET_ID}"
+
+# 同步函数
+sync_data() {
+    while true; do
+        echo "开始同步进程 $(date)"
+        
+        if [ -f "/app/db/pandora.db" ]; then
+            timestamp=$(date +%Y%m%d_%H%M%S)
+            backup_file="pandora_backup_${timestamp}.db"
+            
+            # 复制数据库文件
+            cp /app/db/pandora.db "/tmp/${backup_file}"
+            
+            echo "正在上传备份到 Hugging Face..."
+            python3 /tmp/hf_sync.py upload "${HF_TOKEN}" "${DATASET_ID}" "/tmp/${backup_file}" "${backup_file}"
+            
+            rm -f "/tmp/${backup_file}"
+        else
+            echo "数据库文件不存在，等待下次同步..."
+        fi
+        
+        SYNC_INTERVAL=${SYNC_INTERVAL:-7200}
+        echo "下次同步将在 ${SYNC_INTERVAL} 秒后进行..."
+        sleep $SYNC_INTERVAL
+    done
+}
+
+# 后台启动同步进程
+sync_data &