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""" from __future__ import absolute_import, division, print_function import re from ._make import _AndValidator, and_, attrib, attrs from .exceptions import NotCallableError __all__ = [ "and_", "deep_iterable", "deep_mapping", "in_", "instance_of", "is_callable", "matches_re", "optional", "provides", ] @attrs(repr=False, slots=True, hash=True) class _InstanceOfValidator(object): type = attrib() def __call__(self, inst, attr, value): """ We use a callable class to be able to change the ``__repr__``. """ if not isinstance(value, self.type): raise TypeError( "'{name}' must be {type!r} (got {value!r} that is a " "{actual!r}).".format( name=attr.name, type=self.type, actual=value.__class__, value=value, ), attr, self.type, value, ) def __repr__(self): return "".format( type=self.type ) def instance_of(type): """ A validator that raises a `TypeError` if the initializer is called with a wrong type for this particular attribute (checks are performed using `isinstance` therefore it's also valid to pass a tuple of types). :param type: The type to check for. :type type: type or tuple of types :raises TypeError: With a human readable error message, the attribute (of type `attr.Attribute`), the expected type, and the value it got. """ return _InstanceOfValidator(type) @attrs(repr=False, frozen=True) class _MatchesReValidator(object): regex = attrib() flags = attrib() match_func = attrib() def __call__(self, inst, attr, value): """ We use a callable class to be able to change the ``__repr__``. """ if not self.match_func(value): raise ValueError( "'{name}' must match regex {regex!r}" " ({value!r} doesn't)".format( name=attr.name, regex=self.regex.pattern, value=value ), attr, self.regex, value, ) def __repr__(self): return "".format( regex=self.regex ) def matches_re(regex, flags=0, func=None): r""" A validator that raises `ValueError` if the initializer is called with a string that doesn't match *regex*. :param str regex: a regex string to match against :param int flags: flags that will be passed to the underlying re function (default 0) :param callable func: which underlying `re` function to call (options are `re.fullmatch`, `re.search`, `re.match`, default is ``None`` which means either `re.fullmatch` or an emulation of it on Python 2). For performance reasons, they won't be used directly but on a pre-`re.compile`\ ed pattern. .. versionadded:: 19.2.0 """ fullmatch = getattr(re, "fullmatch", None) valid_funcs = (fullmatch, None, re.search, re.match) if func not in valid_funcs: raise ValueError( "'func' must be one of %s." % ( ", ".join( sorted( e and e.__name__ or "None" for e in set(valid_funcs) ) ), ) ) pattern = re.compile(regex, flags) if func is re.match: match_func = pattern.match elif func is re.search: match_func = pattern.search else: if fullmatch: match_func = pattern.fullmatch else: pattern = re.compile(r"(?:{})\Z".format(regex), flags) match_func = pattern.match return _MatchesReValidator(pattern, flags, match_func) @attrs(repr=False, slots=True, hash=True) class _ProvidesValidator(object): interface = attrib() def __call__(self, inst, attr, value): """ We use a callable class to be able to change the ``__repr__``. """ if not self.interface.providedBy(value): raise TypeError( "'{name}' must provide {interface!r} which {value!r} " "doesn't.".format( name=attr.name, interface=self.interface, value=value ), attr, self.interface, value, ) def __repr__(self): return "".format( interface=self.interface ) def provides(interface): """ A validator that raises a `TypeError` if the initializer is called with an object that does not provide the requested *interface* (checks are performed using ``interface.providedBy(value)`` (see `zope.interface `_). :param zope.interface.Interface interface: The interface to check for. :raises TypeError: With a human readable error message, the attribute (of type `attr.Attribute`), the expected interface, and the value it got. """ return _ProvidesValidator(interface) @attrs(repr=False, slots=True, hash=True) class _OptionalValidator(object): validator = attrib() def __call__(self, inst, attr, value): if value is None: return self.validator(inst, attr, value) def __repr__(self): return "".format( what=repr(self.validator) ) def optional(validator): """ A validator that makes an attribute optional. An optional attribute is one which can be set to ``None`` in addition to satisfying the requirements of the sub-validator. :param validator: A validator (or a list of validators) that is used for non-``None`` values. :type validator: callable or `list` of callables. .. versionadded:: 15.1.0 .. versionchanged:: 17.1.0 *validator* can be a list of validators. """ if isinstance(validator, list): return _OptionalValidator(_AndValidator(validator)) return _OptionalValidator(validator) @attrs(repr=False, slots=True, hash=True) class _InValidator(object): options = attrib() def __call__(self, inst, attr, value): try: in_options = value in self.options except TypeError: # e.g. `1 in "abc"` in_options = False if not in_options: raise ValueError( "'{name}' must be in {options!r} (got {value!r})".format( name=attr.name, options=self.options, value=value ) ) def __repr__(self): return "".format( options=self.options ) def in_(options): """ A validator that raises a `ValueError` if the initializer is called with a value that does not belong in the options provided. The check is performed using ``value in options``. :param options: Allowed options. :type options: list, tuple, `enum.Enum`, ... :raises ValueError: With a human readable error message, the attribute (of type `attr.Attribute`), the expected options, and the value it got. .. versionadded:: 17.1.0 """ return _InValidator(options) @attrs(repr=False, slots=False, hash=True) class _IsCallableValidator(object): def __call__(self, inst, attr, value): """ We use a callable class to be able to change the ``__repr__``. """ if not callable(value): message = ( "'{name}' must be callable " "(got {value!r} that is a {actual!r})." ) raise NotCallableError( msg=message.format( name=attr.name, value=value, actual=value.__class__ ), value=value, ) def __repr__(self): return "" def is_callable(): """ A validator that raises a `attr.exceptions.NotCallableError` if the initializer is called with a value for this particular attribute that is not callable. .. versionadded:: 19.1.0 :raises `attr.exceptions.NotCallableError`: With a human readable error message containing the attribute (`attr.Attribute`) name, and the value it got. """ return _IsCallableValidator() @attrs(repr=False, slots=True, hash=True) class _DeepIterable(object): member_validator = attrib(validator=is_callable()) iterable_validator = attrib( default=None, validator=optional(is_callable()) ) def __call__(self, inst, attr, value): """ We use a callable class to be able to change the ``__repr__``. """ if self.iterable_validator is not None: self.iterable_validator(inst, attr, value) for member in value: self.member_validator(inst, attr, member) def __repr__(self): iterable_identifier = ( "" if self.iterable_validator is None else " {iterable!r}".format(iterable=self.iterable_validator) ) return ( "" ).format( iterable_identifier=iterable_identifier, member=self.member_validator, ) def deep_iterable(member_validator, iterable_validator=None): """ A validator that performs deep validation of an iterable. :param member_validator: Validator to apply to iterable members :param iterable_validator: Validator to apply to iterable itself (optional) .. versionadded:: 19.1.0 :raises TypeError: if any sub-validators fail """ return _DeepIterable(member_validator, iterable_validator) @attrs(repr=False, slots=True, hash=True) class _DeepMapping(object): key_validator = attrib(validator=is_callable()) value_validator = attrib(validator=is_callable()) mapping_validator = attrib(default=None, validator=optional(is_callable())) def __call__(self, inst, attr, value): """ We use a callable class to be able to change the ``__repr__``. """ if self.mapping_validator is not None: self.mapping_validator(inst, attr, value) for key in value: self.key_validator(inst, attr, key) self.value_validator(inst, attr, value[key]) def __repr__(self): return ( "" ).format(key=self.key_validator, value=self.value_validator) def deep_mapping(key_validator, value_validator, mapping_validator=None): """ A validator that performs deep validation of a dictionary. :param key_validator: Validator to apply to dictionary keys :param value_validator: Validator to apply to dictionary values :param mapping_validator: Validator to apply to top-level mapping attribute (optional) .. versionadded:: 19.1.0 :raises TypeError: if any sub-validators fail """ return _DeepMapping(key_validator, value_validator, mapping_validator)