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processors.py
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# engine/processors.py # Copyright (C) 2010-2024 the SQLAlchemy authors and contributors # <see AUTHORS file> # Copyright (C) 2010 Gaetan de Menten gdementen@gmail.com # # This module is part of SQLAlchemy and is released under # the MIT License: https://www.opensource.org/licenses/mit-license.php """defines generic type conversion functions, as used in bind and result processors. They all share one common characteristic: None is passed through unchanged. """ from __future__ import annotations import typing from ._py_processors import str_to_datetime_processor_factory # noqa from ..util._has_cy import HAS_CYEXTENSION if typing.TYPE_CHECKING or not HAS_CYEXTENSION: from ._py_processors import int_to_boolean as int_to_boolean from ._py_processors import str_to_date as str_to_date from ._py_processors import str_to_datetime as str_to_datetime from ._py_processors import str_to_time as str_to_time from ._py_processors import ( to_decimal_processor_factory as to_decimal_processor_factory, ) from ._py_processors import to_float as to_float from ._py_processors import to_str as to_str else: from sqlalchemy.cyextension.processors import ( DecimalResultProcessor, ) from sqlalchemy.cyextension.processors import ( # noqa: F401 int_to_boolean as int_to_boolean, ) from sqlalchemy.cyextension.processors import ( # noqa: F401,E501 str_to_date as str_to_date, ) from sqlalchemy.cyextension.processors import ( # noqa: F401 str_to_datetime as str_to_datetime, ) from sqlalchemy.cyextension.processors import ( # noqa: F401,E501 str_to_time as str_to_time, ) from sqlalchemy.cyextension.processors import ( # noqa: F401,E501 to_float as to_float, ) from sqlalchemy.cyextension.processors import ( # noqa: F401,E501 to_str as to_str, ) def to_decimal_processor_factory(target_class, scale): # Note that the scale argument is not taken into account for integer # values in the C implementation while it is in the Python one. # For example, the Python implementation might return # Decimal('5.00000') whereas the C implementation will # return Decimal('5'). These are equivalent of course. return DecimalResultProcessor(target_class, "%%.%df" % scale).process