mirror of
https://github.com/CCOSTAN/Home-AssistantConfig.git
synced 2025-08-19 11:38:30 +00:00
Initial Configuration Push
This commit is contained in:
155
deps/sqlalchemy/processors.py
vendored
Normal file
155
deps/sqlalchemy/processors.py
vendored
Normal file
@@ -0,0 +1,155 @@
|
||||
# sqlalchemy/processors.py
|
||||
# Copyright (C) 2010-2016 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())
|
Reference in New Issue
Block a user