/usr/lib/python2.7/dist-packages/sqlalchemy/processors.py is in python-sqlalchemy 0.9.8+dfsg-0.1.
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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 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 | # sqlalchemy/processors.py
# Copyright (C) 2010-2014 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: http://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.
"""
import codecs
import re
import datetime
from . import util
def str_to_datetime_processor_factory(regexp, type_):
rmatch = regexp.match
# Even on python2.6 datetime.strptime is both slower than this code
# and it does not support microseconds.
has_named_groups = bool(regexp.groupindex)
def process(value):
if value is None:
return None
else:
try:
m = rmatch(value)
except TypeError:
raise ValueError("Couldn't parse %s string '%r' "
"- value is not a string." %
(type_.__name__, value))
if m is None:
raise ValueError("Couldn't parse %s string: "
"'%s'" % (type_.__name__, value))
if has_named_groups:
groups = m.groupdict(0)
return type_(**dict(list(zip(
iter(groups.keys()),
list(map(int, iter(groups.values())))
))))
else:
return type_(*list(map(int, m.groups(0))))
return process
def boolean_to_int(value):
if value is None:
return None
else:
return int(value)
def py_fallback():
def to_unicode_processor_factory(encoding, errors=None):
decoder = codecs.getdecoder(encoding)
def process(value):
if value is None:
return None
else:
# decoder returns a tuple: (value, len). Simply dropping the
# len part is safe: it is done that way in the normal
# 'xx'.decode(encoding) code path.
return decoder(value, errors)[0]
return process
def to_conditional_unicode_processor_factory(encoding, errors=None):
decoder = codecs.getdecoder(encoding)
def process(value):
if value is None:
return None
elif isinstance(value, util.text_type):
return value
else:
# decoder returns a tuple: (value, len). Simply dropping the
# len part is safe: it is done that way in the normal
# 'xx'.decode(encoding) code path.
return decoder(value, errors)[0]
return process
def to_decimal_processor_factory(target_class, scale):
fstring = "%%.%df" % scale
def process(value):
if value is None:
return None
else:
return target_class(fstring % value)
return process
def to_float(value):
if value is None:
return None
else:
return float(value)
def to_str(value):
if value is None:
return None
else:
return str(value)
def int_to_boolean(value):
if value is None:
return None
else:
return value and True or False
DATETIME_RE = re.compile(
"(\d+)-(\d+)-(\d+) (\d+):(\d+):(\d+)(?:\.(\d+))?")
TIME_RE = re.compile("(\d+):(\d+):(\d+)(?:\.(\d+))?")
DATE_RE = re.compile("(\d+)-(\d+)-(\d+)")
str_to_datetime = str_to_datetime_processor_factory(DATETIME_RE,
datetime.datetime)
str_to_time = str_to_datetime_processor_factory(TIME_RE, datetime.time)
str_to_date = str_to_datetime_processor_factory(DATE_RE, datetime.date)
return locals()
try:
from sqlalchemy.cprocessors import UnicodeResultProcessor, \
DecimalResultProcessor, \
to_float, to_str, int_to_boolean, \
str_to_datetime, str_to_time, \
str_to_date
def to_unicode_processor_factory(encoding, errors=None):
if errors is not None:
return UnicodeResultProcessor(encoding, errors).process
else:
return UnicodeResultProcessor(encoding).process
def to_conditional_unicode_processor_factory(encoding, errors=None):
if errors is not None:
return UnicodeResultProcessor(encoding, errors).conditional_process
else:
return UnicodeResultProcessor(encoding).conditional_process
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
except ImportError:
globals().update(py_fallback())
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