2025-12-10 17:16:02,131 - log_config.py - error_task_logger - ERROR - NGV更新数据执行时发生异常: name 'data_NGV_j' is not defined
Traceback (most recent call last):
  File "D:\Idea Project\SaaS_V1.7\back_ground_module\update_all_NGV_data_daily.py", line 106, in main
    prepared_data = self._prepare_data_for_sync(changed_data, staff_id_map)
  File "D:\Idea Project\SaaS_V1.7\back_ground_module\update_all_NGV_data_daily.py", line 561, in _prepare_data_for_sync
    prepared_df['g_month_percentage'] = (pd.to_numeric(data_NGV_j['g_month_percentage'], errors='coerce')
                                                       ^^^^^^^^^^
NameError: name 'data_NGV_j' is not defined
2025-12-15 10:53:08,519 - log_config.py - error_task_logger - ERROR - 经销商新签服务单转BI任务执行失败: '业务人员'
Traceback (most recent call last):
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\indexes\base.py", line 3812, in get_loc
    return self._engine.get_loc(casted_key)
           ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^
  File "pandas/_libs/index.pyx", line 167, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 196, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 7088, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 7096, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: '业务人员'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "D:\Idea Project\SaaS_V1.7\back_ground_module\new_dealer_service_order_to_bi.py", line 198, in main
    df = self.data_process()
  File "D:\Idea Project\SaaS_V1.7\back_ground_module\new_dealer_service_order_to_bi.py", line 83, in data_process
    df[col] = df[col].map(lambda x: x.get("name", "") if isinstance(x, dict) else "")
              ~~^^^^^
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\frame.py", line 4107, in __getitem__
    indexer = self.columns.get_loc(key)
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\indexes\base.py", line 3819, in get_loc
    raise KeyError(key) from err
KeyError: '业务人员'
2025-12-25 14:47:59,066 - log_config.py - error_task_logger - ERROR - 合伙人结算登记同步到BI发生错误："None of [Index(['订单支付时间'], dtype='object')] are in the [columns]"
Traceback (most recent call last):
  File "D:\Idea Project\SaaS_V1.7\back_ground_module\partner_settlement_to_BI.py", line 297, in main
    df = self.data_process()
  File "D:\Idea Project\SaaS_V1.7\back_ground_module\partner_settlement_to_BI.py", line 165, in data_process
    df[time_columns] = df[time_columns].apply(
                       ~~^^^^^^^^^^^^^^
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\frame.py", line 4113, in __getitem__
    indexer = self.columns._get_indexer_strict(key, "columns")[1]
              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\indexes\base.py", line 6212, in _get_indexer_strict
    self._raise_if_missing(keyarr, indexer, axis_name)
    ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\indexes\base.py", line 6261, in _raise_if_missing
    raise KeyError(f"None of [{key}] are in the [{axis_name}]")
KeyError: "None of [Index(['订单支付时间'], dtype='object')] are in the [columns]"
2025-12-25 14:48:41,241 - log_config.py - error_task_logger - ERROR - 合伙人结算登记同步到BI发生错误："None of [Index(['订单登记表.订单支付时间'], dtype='object')] are in the [columns]"
Traceback (most recent call last):
  File "D:\Idea Project\SaaS_V1.7\back_ground_module\partner_settlement_to_BI.py", line 297, in main
    df = self.data_process()
  File "D:\Idea Project\SaaS_V1.7\back_ground_module\partner_settlement_to_BI.py", line 165, in data_process
    df[time_columns] = df[time_columns].apply(
                       ~~^^^^^^^^^^^^^^
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\frame.py", line 4113, in __getitem__
    indexer = self.columns._get_indexer_strict(key, "columns")[1]
              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\indexes\base.py", line 6212, in _get_indexer_strict
    self._raise_if_missing(keyarr, indexer, axis_name)
    ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\indexes\base.py", line 6261, in _raise_if_missing
    raise KeyError(f"None of [{key}] are in the [{axis_name}]")
KeyError: "None of [Index(['订单登记表.订单支付时间'], dtype='object')] are in the [columns]"
2025-12-25 15:31:38,149 - log_config.py - error_task_logger - ERROR - 非标业绩提报转BI发生错误Already tz-aware, use tz_convert to convert.
Traceback (most recent call last):
  File "D:\Idea Project\SaaS_V1.7\back_ground_module\non_standar_performance_to_BI.py", line 287, in main
    df = self.data_process()
  File "D:\Idea Project\SaaS_V1.7\back_ground_module\non_standar_performance_to_BI.py", line 148, in data_process
    df[time_columns] = df[time_columns].apply(
                       ~~~~~~~~~~~~~~~~~~~~~~^
        lambda col: pd.to_datetime(col, errors='coerce')
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        .dt.tz_localize('Asia/Shanghai')
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        .dt.strftime('%Y-%m-%d %H:%M:%S')
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\frame.py", line 10381, in apply
    return op.apply().__finalize__(self, method="apply")
           ~~~~~~~~^^
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\apply.py", line 916, in apply
    return self.apply_standard()
           ~~~~~~~~~~~~~~~~~~~^^
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\apply.py", line 1063, in apply_standard
    results, res_index = self.apply_series_generator()
                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\apply.py", line 1081, in apply_series_generator
    results[i] = self.func(v, *self.args, **self.kwargs)
                 ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Idea Project\SaaS_V1.7\back_ground_module\non_standar_performance_to_BI.py", line 150, in <lambda>
    .dt.tz_localize('Asia/Shanghai')
        ~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\accessor.py", line 112, in f
    return self._delegate_method(name, *args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\indexes\accessors.py", line 132, in _delegate_method
    result = method(*args, **kwargs)
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\indexes\datetimes.py", line 293, in tz_localize
    arr = self._data.tz_localize(tz, ambiguous, nonexistent)
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\arrays\_mixins.py", line 81, in method
    return meth(self, *args, **kwargs)
  File "D:\ProgramTools\anaconda3\envs\saas\Lib\site-packages\pandas\core\arrays\datetimes.py", line 1085, in tz_localize
    raise TypeError("Already tz-aware, use tz_convert to convert.")
TypeError: Already tz-aware, use tz_convert to convert.