#!/bin/sh set -e # 必须设置的环境变量 if [ -z "$HF_TOKEN" ] || [ -z "$DATASET_ID" ]; then echo "请设置环境变量 HF_TOKEN 和 DATASET_ID" exit 1 fi # 激活 Python 虚拟环境(请根据实际路径修改) . "$HOME/venv/bin/activate" STORAGE_PATH="$HOME/app/data" FLAG_FILE="$HOME/.hf_backup_first_done" # 生成 hf_sync.py 脚本 cat > hf_sync.py << 'EOL' from huggingface_hub import HfApi import sys, os, tarfile, tempfile 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('backup_') and f.endswith('.tar.gz')] backup_files.sort() if len(backup_files) >= max_files: for file_to_delete in backup_files[:(len(backup_files) - max_files + 1)]: 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"上传文件出错: {str(e)}") def download_latest_backup(token, repo_id, extract_path): 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("未找到任何备份文件") 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(extract_path) print(f"已成功恢复备份: {latest_backup}") except Exception as e: print(f"下载备份出错: {str(e)}") def super_squash_history(token, repo_id): try: api = HfApi(token=token) api.super_squash_history(repo_id=repo_id, repo_type="dataset") print("历史合并完成。") except Exception as e: print(f"合并历史出错: {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": extract_path = sys.argv[4] if len(sys.argv) > 4 else '.' download_latest_backup(token, repo_id, extract_path) elif action == "super_squash": super_squash_history(token, repo_id) EOL upload_backup() { if [ -d "${STORAGE_PATH}" ]; then echo "上传备份数据..." timestamp=$(date +%Y%m%d_%H%M%S) backup_file="backup_${timestamp}.tar.gz" tar -czf "/tmp/${backup_file}" -C "$(dirname "${STORAGE_PATH}")" "$(basename "${STORAGE_PATH}")" python hf_sync.py upload "${HF_TOKEN}" "${DATASET_ID}" "/tmp/${backup_file}" "${backup_file}" rm -f "/tmp/${backup_file}" else echo "数据目录不存在,无法上传备份" fi } download_restore() { echo "从 HuggingFace 下载最新备份并恢复..." python hf_sync.py download "${HF_TOKEN}" "${DATASET_ID}" "$HOME/app" } if [ ! -f "$FLAG_FILE" ]; then echo "首次运行,开始上传备份..." upload_backup touch "$FLAG_FILE" echo "首次备份完成,程序退出。" exit 0 fi sync_data() { while true; do echo "同步进程启动于 $(date)" upload_backup download_restore SQUASH_FLAG_FILE="/tmp/last_squash_time" NOW=$(date +%s) SEVEN_DAYS=$((7*24*60*60)) if [ ! -f "$SQUASH_FLAG_FILE" ]; then echo $NOW > "$SQUASH_FLAG_FILE" echo "首次合并历史提交..." python hf_sync.py super_squash "${HF_TOKEN}" "${DATASET_ID}" else LAST=$(cat "$SQUASH_FLAG_FILE") DIFF=$((NOW - LAST)) if [ $DIFF -ge $SEVEN_DAYS ]; then echo $NOW > "$SQUASH_FLAG_FILE" echo "超过7天,合并历史提交..." python hf_sync.py super_squash "${HF_TOKEN}" "${DATASET_ID}" else echo "未满7天,跳过合并历史提交。" fi fi SYNC_INTERVAL=${SYNC_INTERVAL:-7200} echo "下次同步将在 ${SYNC_INTERVAL} 秒后进行..." sleep $SYNC_INTERVAL done } sync_data &