优化日志加载过程，使用进度条显示加载状态，并注释掉不必要的打印信息

logging_helper.py

@@ -8,6 +8,7 @@ from apscheduler.schedulers.background import BackgroundScheduler
 from utils import beijing, md5, json_to_str
 from huggingface_hub import HfApi
 import pandas as pd
+from tqdm import tqdm
 from datetime import datetime, date, timedelta
 from zoneinfo import ZoneInfo
 
@@ -201,22 +202,22 @@ class LoggingHelper:
             from_timestamp = from_timestamp or start_timestamp
             to_timestamp = to_timestamp or end_timestamp
             total_files_loaded = 0
-            for remotepath, timestamp in self.timestamps.items():
+            for remotepath, timestamp in tqdm(self.timestamps.items()):
                 if timestamp < from_timestamp or timestamp > to_timestamp:
                     continue
                 localpath = "/".join([self.local_dir, remotepath])
-                print(f"[load_logs] Loading file {localpath}")
+                # print(f"[load_logs] Loading file {localpath}")
                 # 检查该文件是否存在
                 if not os.path.exists(localpath):
-                    print(f"[load_logs] File not found: {localpath}")
+                    # print(f"[load_logs] File not found: {localpath}")
                     continue
                 try:
                     # 检查文件是否为空
                     if os.path.getsize(localpath) == 0:
-                        print(f"[load_logs] Skipping empty file: {remotepath}")
+                        # print(f"[load_logs] Skipping empty file: {remotepath}")
                         continue
                     if remotepath in self.buffer:
-                        print(f"[load_logs] File already loaded: {remotepath}")
+                        # print(f"[load_logs] File already loaded: {remotepath}")
                         continue
                     # 加载JSON数据到Dataset
                     dataset = ds.Dataset.from_json(localpath)