优化日志加载时间戳的处理逻辑，修正时间范围过滤条件

logging_helper.py

@@ -10,7 +10,6 @@ from huggingface_hub import HfApi
 import pandas as pd
 from datetime import datetime, date, timedelta
 from zoneinfo import ZoneInfo
-import glob
 
 hf = HfApi()
 hf.token = os.environ.get("hf_token")
@@ -209,15 +208,15 @@ class LoggingHelper:
 
             start_timestamp = self.cutoff_timestamp()
             end_timestamp = (
-                beijing()
-                .replace(hour=23, minute=59, second=59, microsecond=999999)
+                (beijing() + timedelta(days=1))
+                .replace(hour=0, minute=0, second=0, microsecond=0)
                 .isoformat(timespec="microseconds")
             )
             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():
-                if timestamp < from_timestamp or timestamp >= to_timestamp:
+                if timestamp < from_timestamp or timestamp > to_timestamp:
                     continue
                 localpath = "/".join([self.local_dir, remotepath])
                 print(f"[load_logs] Loading file {localpath}")
@@ -349,7 +348,9 @@ class LoggingHelper:
             ) + timedelta(days=1)
             to_timestamp = to_datetime.isoformat(timespec="microseconds")
 
-        print(f"[refresh] Starting to load logs from {from_date} to {to_date}")
+        print(
+            f"[refresh] Starting to load logs from {from_timestamp} to {to_timestamp}"
+        )
         # 如果查询范围超出缓存范围，则加载相应的日志文件
         self.load_logs(from_timestamp=from_timestamp, to_timestamp=to_timestamp)
         if self.dataframe_refresh_needed: