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分子分母归属月份字段更新

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panda
2026-01-06 16:24:35 +08:00
parent cf3814b3c2
commit 923c035fd5
9 changed files with 171 additions and 39 deletions
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back_ground_module/logs/error_task.log
+29
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@@ -141,3 +141,32 @@ Traceback (most recent call last):
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