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Edit File: processors.py
# sqlalchemy/processors.py # Copyright (C) 2010-2023 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. """ import codecs import datetime import re 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 as err: util.raise_( ValueError( "Couldn't parse %s string '%r' " "- value is not a string." % (type_.__name__, value) ), from_=err, ) 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 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): # noqa if value is None: return None else: return float(value) def to_str(value): # noqa if value is None: return None else: return str(value) def int_to_boolean(value): # noqa 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( # noqa DATETIME_RE, datetime.datetime ) str_to_time = str_to_datetime_processor_factory( # noqa TIME_RE, datetime.time ) # noqa str_to_date = str_to_datetime_processor_factory( # noqa DATE_RE, datetime.date ) # noqa return locals() try: from sqlalchemy.cprocessors import DecimalResultProcessor # noqa from sqlalchemy.cprocessors import int_to_boolean # noqa from sqlalchemy.cprocessors import str_to_date # noqa from sqlalchemy.cprocessors import str_to_datetime # noqa from sqlalchemy.cprocessors import str_to_time # noqa from sqlalchemy.cprocessors import to_float # noqa from sqlalchemy.cprocessors import to_str # noqa from sqlalchemy.cprocessors import UnicodeResultProcessor # noqa 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())