codekingpro/portable-devtools

1# engine/processors.py
2# Copyright (C) 2010-2026 the SQLAlchemy authors and contributors
3# <see AUTHORS file>
4# Copyright (C) 2010 Gaetan de Menten gdementen@gmail.com
5#
6# This module is part of SQLAlchemy and is released under
7# the MIT License: https://www.opensource.org/licenses/mit-license.php
8
9"""defines generic type conversion functions, as used in bind and result
10processors.
11
12They all share one common characteristic: None is passed through unchanged.
13
14"""
15from __future__ import annotations
16
17import typing
18
19from ._py_processors import str_to_datetime_processor_factory  # noqa
20from ..util._has_cy import HAS_CYEXTENSION
21
22if typing.TYPE_CHECKING or not HAS_CYEXTENSION:
23    from ._py_processors import int_to_boolean as int_to_boolean
24    from ._py_processors import str_to_date as str_to_date
25    from ._py_processors import str_to_datetime as str_to_datetime
26    from ._py_processors import str_to_time as str_to_time
27    from ._py_processors import (
28        to_decimal_processor_factory as to_decimal_processor_factory,
29    )
30    from ._py_processors import to_float as to_float
31    from ._py_processors import to_str as to_str
32else:
33    from sqlalchemy.cyextension.processors import (
34        DecimalResultProcessor,
35    )
36    from sqlalchemy.cyextension.processors import (  # noqa: F401
37        int_to_boolean as int_to_boolean,
38    )
39    from sqlalchemy.cyextension.processors import (  # noqa: F401,E501
40        str_to_date as str_to_date,
41    )
42    from sqlalchemy.cyextension.processors import (  # noqa: F401
43        str_to_datetime as str_to_datetime,
44    )
45    from sqlalchemy.cyextension.processors import (  # noqa: F401,E501
46        str_to_time as str_to_time,
47    )
48    from sqlalchemy.cyextension.processors import (  # noqa: F401,E501
49        to_float as to_float,
50    )
51    from sqlalchemy.cyextension.processors import (  # noqa: F401,E501
52        to_str as to_str,
53    )
54
55    def to_decimal_processor_factory(target_class, scale):
56        # Note that the scale argument is not taken into account for integer
57        # values in the C implementation while it is in the Python one.
58        # For example, the Python implementation might return
59        # Decimal('5.00000') whereas the C implementation will
60        # return Decimal('5'). These are equivalent of course.
61        return DecimalResultProcessor(target_class, "%%.%df" % scale).process
62