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📁 ..
📄 __init__.py(2.17 KB)
📄 __init__.pyc(3.61 KB)
📄 __init__.pyo(3.61 KB)
📁 connectors
📄 cprocessors.so(12.01 KB)
📄 cresultproxy.so(15.83 KB)
📄 cutils.so(6.63 KB)
📁 databases
📁 dialects
📁 engine
📁 event
📄 events.py(46.54 KB)
📄 events.pyc(51.8 KB)
📄 events.pyo(51.8 KB)
📄 exc.py(11.75 KB)
📄 exc.pyc(17.97 KB)
📄 exc.pyo(17.97 KB)
📁 ext
📄 inspection.py(3.02 KB)
📄 inspection.pyc(3.31 KB)
📄 inspection.pyo(3.31 KB)
📄 interfaces.py(10.71 KB)
📄 interfaces.pyc(12.35 KB)
📄 interfaces.pyo(12.35 KB)
📄 log.py(6.55 KB)
📄 log.pyc(8.08 KB)
📄 log.pyo(8.08 KB)
📁 orm
📄 pool.py(48.65 KB)
📄 pool.pyc(52.77 KB)
📄 pool.pyo(52.71 KB)
📄 processors.py(5.09 KB)
📄 processors.pyc(5.35 KB)
📄 processors.pyo(5.35 KB)
📄 schema.py(1.17 KB)
📄 schema.pyc(1.55 KB)
📄 schema.pyo(1.55 KB)
📁 sql
📁 testing
📄 types.py(1.67 KB)
📄 types.pyc(1.97 KB)
📄 types.pyo(1.97 KB)
📁 util

Editing: processors.py

# sqlalchemy/processors.py
# Copyright (C) 2010-2017 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(bool(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 bool(value)

DATETIME_RE = re.compile(
        r"(\d+)-(\d+)-(\d+) (\d+):(\d+):(\d+)(?:\.(\d+))?")
    TIME_RE = re.compile(r"(\d+):(\d+):(\d+)(?:\.(\d+))?")
    DATE_RE = re.compile(r"(\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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