Create sync_data.sh

sync_data.sh

@@ -0,0 +1,123 @@
+#!/bin/bash
+
+# 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 0
+fi
+
+# 激活虚拟环境
+source /opt/venv/bin/activate
+
+# 上传备份
+upload_backup() {
+    file_path="$1"
+    file_name="$2"
+    token="$HF_TOKEN"
+    repo_id="$DATASET_ID"
+
+    python3 -c "
+from huggingface_hub import HfApi
+import sys
+import os
+def manage_backups(api, repo_id, max_files=50):
+    files = api.list_repo_files(repo_id=repo_id, repo_type='dataset')
+    backup_files = [f for f in files if f.startswith('qinglong_backup_') and f.endswith('.tar.gz')]
+    backup_files.sort()
+    
+    if len(backup_files) >= max_files:
+        files_to_delete = backup_files[:(len(backup_files) - max_files + 1)]
+        for file_to_delete in files_to_delete:
+            try:
+                api.delete_file(path_in_repo=file_to_delete, repo_id=repo_id, repo_type='dataset')
+                print(f'Deleted old backup: {file_to_delete}')
+            except Exception as e:
+                print(f'Error deleting {file_to_delete}: {str(e)}')
+api = HfApi(token='$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 $file_name')
+    
+    manage_backups(api, '$repo_id')
+except Exception as e:
+    print(f'Error uploading file: {str(e)}')
+"
+}
+
+# 下载最新备份
+download_latest_backup() {
+    token="$HF_TOKEN"
+    repo_id="$DATASET_ID"
+
+    python3 -c "
+from huggingface_hub import HfApi
+import sys
+import os
+import tarfile
+import tempfile
+api = HfApi(token='$token')
+try:
+    files = api.list_repo_files(repo_id='$repo_id', repo_type='dataset')
+    backup_files = [f for f in files if f.startswith('qinglong_backup_') and f.endswith('.tar.gz')]
+    
+    if not backup_files:
+        print('No backup files found')
+        sys.exit()
+        
+    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('/ql/data')
+            print(f'Successfully restored backup from {latest_backup}')
+        
+except Exception as e:
+    print(f'Error downloading backup: {str(e)}')
+"
+}
+
+# 首次启动时下载最新备份
+echo "Downloading latest backup from HuggingFace..."
+download_latest_backup
+
+# 同步函数
+sync_data() {
+    while true; do
+        echo "Starting sync process at $(date)"
+        
+        if [ -d /ql/data ]; then
+            timestamp=$(date +%Y%m%d_%H%M%S)
+            backup_file="qinglong_backup_${timestamp}.tar.gz"
+            
+            # 压缩数据目录
+            tar -czf "/tmp/${backup_file}" -C /ql/data .
+            
+            echo "Uploading backup to HuggingFace..."
+            upload_backup "/tmp/${backup_file}" "${backup_file}"
+            
+            rm -f "/tmp/${backup_file}"
+        else
+            echo "Data directory does not exist yet, waiting for next sync..."
+        fi
+        
+        SYNC_INTERVAL=${SYNC_INTERVAL:-7200}
+        echo "Next sync in ${SYNC_INTERVAL} seconds..."
+        sleep $SYNC_INTERVAL
+    done
+}
+
+# 启动同步进程
+sync_data