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 .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. 2025-12-30 16:06:56,642 - log_config.py - error_task_logger - ERROR - 写入数据库时发生错误: No module named 'numpy.rec' Traceback (most recent call last): File "D:\Idea Project\SaaS_V1.7\back_ground_module\non_standar_performance_to_BI.py", line 204, in write_to_bi df = df.replace([None, np.nan, pd.NA, 'nan', 'NaN', 'NAN', ''], None) File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\generic.py", line 8125, in replace new_data = self._mgr.replace_list( src_list=to_replace, ...<2 lines>... regex=regex, ) File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\internals\base.py", line 278, in replace_list bm = self.apply_with_block( "replace_list", ...<5 lines>... already_warned=_AlreadyWarned(), ) File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\internals\managers.py", line 363, in apply applied = getattr(b, f)(**kwargs) File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\internals\blocks.py", line 1160, in replace_list for i, ((src, dest), mask) in enumerate(zip(pairs, masks)): ~~~~~~~~~^^^^^^^^^^^^^^^^^^^ File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\internals\blocks.py", line 1132, in masks = (missing.mask_missing(values, s[0]) for s in pairs) ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^ File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\missing.py", line 99, in mask_missing na_mask = isna(values_to_mask) File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\dtypes\missing.py", line 178, in isna return _isna(obj) File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\dtypes\missing.py", line 207, in _isna return _isna_array(obj, inf_as_na=inf_as_na) File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\dtypes\missing.py", line 288, in _isna_array elif isinstance(values, np.rec.recarray): ^^^^^^ File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\numpy\__init__.py", line 758, in __getattr__ import numpy.typing as typing ^^^^^^^^^^^^^^^^^^^^^^^ ModuleNotFoundError: No module named 'numpy.rec' 2026-01-06 16:04:19,673 - log_config.py - error_task_logger - ERROR - 任务执行失败: Can only use .dt accessor with datetimelike values Traceback (most recent call last): File "D:\Idea Project\SaaS_V1.7\back_ground_module\update_molecule_reporting_adjustment_to_bi.py", line 207, in main df['归属月份'] = df['归属月份'].dt.tz_localize(None).dt.strftime('%Y-%m-%d %H:%M:%S') ^^^^^^^^^^^^^^^^^ File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\generic.py", line 6321, in __getattr__ return object.__getattribute__(self, name) ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^ File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\accessor.py", line 224, in __get__ accessor_obj = self._accessor(obj) File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\indexes\accessors.py", line 643, in __new__ raise AttributeError("Can only use .dt accessor with datetimelike values") AttributeError: Can only use .dt accessor with datetimelike values. Did you mean: 'at'? 2026-01-06 16:14:24,812 - log_config.py - error_task_logger - ERROR - 写入数据时发生错误: overflow encountered in multiply Traceback (most recent call last): File "D:\Idea Project\SaaS_V1.7\back_ground_module\update_denominator_reporting_adjustment_to_bi.py", line 157, in write_to_bi dt_utc = pd.to_datetime(timestamp_ms, unit='ms', utc=True) File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\tools\datetimes.py", line 1072, in to_datetime values = convert_listlike(arg._values, format) File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\tools\datetimes.py", line 409, in _convert_listlike_datetimes return _to_datetime_with_unit(arg, unit, name, utc, errors) File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\pandas\core\tools\datetimes.py", line 517, in _to_datetime_with_unit arr = cast_from_unit_vectorized(arg, unit=unit) File "pandas/_libs/tslibs/conversion.pyx", line 149, in pandas._libs.tslibs.conversion.cast_from_unit_vectorized File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\numpy\_core\fromnumeric.py", line 3674, in round return _wrapfunc(a, 'round', decimals=decimals, out=out) File "D:\Program Files\anaconda3\envs\SaaS\Lib\site-packages\numpy\_core\fromnumeric.py", line 54, in _wrapfunc return bound(*args, **kwds) FloatingPointError: overflow encountered in multiply