1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
|
# 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
|
