#!/bin/sh # 设置默认值 : ${APP_HOME:=/OpenList} : ${VIRTUAL_ENV:=${APP_HOME}/venv} : ${STORAGE_PATH:=$APP_HOME/data} : ${SYNC_INTERVAL:=7200} : ${MAX_BACKUPS:=50} # 检查必要环境变量 if [ -z "$HF_TOKEN" ] || [ -z "$DATASET_ID" ]; then echo "警告: 未检测到 HF_TOKEN 或 DATASET_ID,备份功能不可用" if [ "$REQUIRE_BACKUP" = "true" ]; then echo "错误: 备份为必需功能,但缺少必要环境变量" exit 1 fi # 在没有备份功能的情况下直接运行服务 exec ./openlist server fi # 激活虚拟环境 . ${APP_HOME}/venv/bin/activate # 生成同步脚本 cat > hf_sync.py << 'EOL' from huggingface_hub import HfApi import sys import os import tarfile import tempfile import time from datetime import datetime def manage_backups(api, repo_id, max_files): try: 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: 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)}') except Exception as e: print(f'管理备份时出错: {str(e)}') def upload_backup(file_path, file_name, token, repo_id, max_files): api = HfApi(token=token) try: print(f"正在上传备份 {file_name}...") start_time = time.time() api.upload_file( path_or_fileobj=file_path, path_in_repo=file_name, repo_id=repo_id, repo_type="dataset" ) upload_time = time.time() - start_time print(f"成功上传 {file_name} (耗时 {upload_time:.2f}秒)") manage_backups(api, repo_id, max_files) return True except Exception as e: print(f"上传文件出错: {str(e)}") return False def download_latest_backup(token, repo_id, extract_path, max_retries=3): for attempt in range(max_retries): 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 False latest_backup = sorted(backup_files)[-1] print(f"正在下载最新备份: {latest_backup}") 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): print("正在解压备份文件...") with tarfile.open(filepath, 'r:gz') as tar: tar.extractall(extract_path) print(f"已成功恢复备份: {latest_backup}") return True except Exception as e: print(f"下载备份出错 (尝试 {attempt + 1}/${max_retries}): {str(e)}") if attempt < max_retries - 1: wait_time = (attempt + 1) * 10 print(f"等待 {wait_time}秒后重试...") time.sleep(wait_time) return False def super_squash_history(token, repo_id): try: api = HfApi(token=token) print("正在合并历史提交...") 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] max_files = int(sys.argv[6]) if len(sys.argv) > 6 else 50 upload_backup(file_path, file_name, token, repo_id, max_files) 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 # 首次启动时从 HuggingFace 下载最新备份 if [ "$SKIP_INITIAL_DOWNLOAD" != "true" ]; then echo "正在尝试从 HuggingFace 下载最新备份..." if ! python hf_sync.py download "${HF_TOKEN}" "${DATASET_ID}" "${STORAGE_PATH}"; then echo "警告: 初始备份下载失败,继续使用空数据目录" mkdir -p "${STORAGE_PATH}" fi fi # 同步函数 sync_data() { while true; do echo "[$(date '+%Y-%m-%d %H:%M:%S')] 开始同步流程" # 检查数据目录 if [ ! -d "${STORAGE_PATH}" ]; then echo "错误: 存储目录 ${STORAGE_PATH} 不存在" sleep 60 continue fi # 创建备份 timestamp=$(date +%Y%m%d_%H%M%S) backup_file="backup_${timestamp}.tar.gz" temp_backup="/tmp/${backup_file}" echo "正在创建备份: ${backup_file}" start_time=$(date +%s) # 压缩目录 if ! tar -czf "${temp_backup}" -C "$(dirname "${STORAGE_PATH}")" "$(basename "${STORAGE_PATH}")"; then echo "错误: 创建备份文件失败" rm -f "${temp_backup}" sleep ${SYNC_INTERVAL} continue fi # 检查备份文件 if [ ! -f "${temp_backup}" ]; then echo "错误: 备份文件未创建成功" sleep ${SYNC_INTERVAL} continue fi # 上传备份 echo "正在上传备份到 HuggingFace..." if python hf_sync.py upload "${HF_TOKEN}" "${DATASET_ID}" "${temp_backup}" "${backup_file}" "${MAX_BACKUPS}"; then echo "备份上传成功" else echo "警告: 备份上传失败" fi # 清理临时文件 rm -f "${temp_backup}" # 每周合并历史 SQUASH_FLAG_FILE="/tmp/last_squash_time" NOW=$(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 "距离上次合并已超过7天,正在合并历史提交..." python hf_sync.py super_squash "${HF_TOKEN}" "${DATASET_ID}" else remaining_days=$(( (SEVEN_DAYS - DIFF) / 86400 )) echo "距离下次历史合并还有约 ${remaining_days} 天" fi fi # 计算下次同步时间 end_time=$(date +%s) duration=$((end_time - start_time)) next_sync=$((SYNC_INTERVAL - duration)) if [ $next_sync -gt 0 ]; then echo "同步完成,耗时 ${duration} 秒,下次同步将在 ${next_sync} 秒后 ($(date -d "@$(($(date +%s) + next_sync))" '+%Y-%m-%d %H:%M:%S'))" sleep $next_sync else echo "同步完成,耗时 ${duration} 秒 (超过同步间隔),立即开始下次同步" fi done } # 启动OpenList服务 ./openlist server & SERVER_PID=$! # 启动同步进程 if [ "$DISABLE_SYNC" != "true" ]; then sync_data & SYNC_PID=$! fi # 等待进程结束 wait $SERVER_PID # 清理 if [ -n "$SYNC_PID" ]; then kill $SYNC_PID fi exit 0