数据质量检查定期发送

BaseDataMaintenance/maintenance/dataflow.py

@@ -4311,30 +4311,35 @@ class Dataflow_dumplicate(Dataflow):
         ObjectName = object_path + csv_name
         url = get_download_url(self.bucket,ObjectName,file_timeout)
         if url:
+            url = url.replace("-internal", "")
             msg += "\n文件名：\"%s\"，链接:%s"%(csv_name,url)
 
         csv_name = "公告重复量大的编号.csv"
         ObjectName = object_path + csv_name
         url = get_download_url(self.bucket, ObjectName, file_timeout)
         if url:
+            url = url.replace("-internal", "")
             msg += "\n文件名：\"%s\"，链接:%s" % (csv_name, url)
 
         csv_name = "公告附件重复量大的编号.csv"
         ObjectName = object_path + csv_name
         url = get_download_url(self.bucket, ObjectName, file_timeout)
         if url:
+            url = url.replace("-internal", "")
             msg += "\n文件名：\"%s\"，链接:%s" % (csv_name, url)
 
         csv_name = "附件识别异常的站源.csv"
         ObjectName = object_path + csv_name
         url = get_download_url(self.bucket, ObjectName, file_timeout)
         if url:
+            url = url.replace("-internal", "")
             msg += "\n文件名：\"%s\"，链接:%s" % (csv_name, url)
 
         csv_name = "报名时间，截止时间在发布时间之前的公告.csv"
         ObjectName = object_path + csv_name
         url = get_download_url(self.bucket, ObjectName, file_timeout)
         if url:
+            url = url.replace("-internal", "")
             msg += "\n文件名：\"%s\"，链接:%s" % (csv_name, url)
 
         atMobiles = ['18813973429'] # 维阵