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Þ'¯°ÌME[YéïĵÂCå½ Ué©Áû'Ê9%eÔðNU”ë‘ÌsD3/®+UI˜9h.WC”빓$#:pz:YÓ ¿xž* ³$Í +$kñAŠ‹†¢ Uê>¸)_š¬÷©ßAÂÔb9ÇU ¯¾á•9¯ÏÏ÷O÷¼¼Fähal1‰3Ì[Ïr•´UCksNÐ] R‘¸¥H+§Šé†c©vÖÞ0iÓ76s†î!§=ß ¼~Ô'°Ãmäoäš³ªøi1úÉ)³yV8 CLÄØÁ‘WYïi€H6ÖÑiámø^ÈY´°Ñ7¥Û*—Ñ©L«Qƒï—Ùrÿ ›£Ð*š¸ˆL©ˆ$ˆ ÷¾D§9È®«qbqC)–ˆïv´çñsÑVT­Ø, <àïºÀO«Jý·õ àfPìð .wFšir´þ’2_Y *Æ€x\« ì€9š@ Ž|F⇥ˆkZ@hÖÄ0t¿-<“‹qµ¾*ZL¤Ú)&BJpÓF5=$„at*Zš$’ÑtdûÝRI1 2Ž‰$€$I$#‰SÞ’Hë¬ï;Á$¡t$’`<(ñÇt)$‡Ð.Êf¢X’Kt=Éé$‚ˆªè¢oÝëòI%Rgcª÷ŠyI%¡‰ÿ !ñ)´õ $¤ Ô’IIGÿÙ# SPDX-License-Identifier: MIT """ Commonly useful validators. """ import operator import re from contextlib import contextmanager from ._config import get_run_validators, set_run_validators from ._make import _AndValidator, and_, attrib, attrs from .converters import default_if_none from .exceptions import NotCallableError try: Pattern = re.Pattern except AttributeError: # Python <3.7 lacks a Pattern type. Pattern = type(re.compile("")) __all__ = [ "and_", "deep_iterable", "deep_mapping", "disabled", "ge", "get_disabled", "gt", "in_", "instance_of", "is_callable", "le", "lt", "matches_re", "max_len", "min_len", "not_", "optional", "provides", "set_disabled", ] def set_disabled(disabled): """ Globally disable or enable running validators. By default, they are run. :param disabled: If ``True``, disable running all validators. :type disabled: bool .. warning:: This function is not thread-safe! .. versionadded:: 21.3.0 """ set_run_validators(not disabled) def get_disabled(): """ Return a bool indicating whether validators are currently disabled or not. :return: ``True`` if validators are currently disabled. :rtype: bool .. versionadded:: 21.3.0 """ return not get_run_validators() @contextmanager def disabled(): """ Context manager that disables running validators within its context. .. warning:: This context manager is not thread-safe! .. versionadded:: 21.3.0 """ set_run_validators(False) try: yield finally: set_run_validators(True) @attrs(repr=False, slots=True, hash=True) class _InstanceOfValidator: 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 type :raises TypeError: With a human readable error message, the attribute (of type `attrs.Attribute`), the expected type, and the value it got. """ return _InstanceOfValidator(type) @attrs(repr=False, frozen=True, slots=True) class _MatchesReValidator: pattern = 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 {pattern!r}" " ({value!r} doesn't)".format( name=attr.name, pattern=self.pattern.pattern, value=value ), attr, self.pattern, value, ) def __repr__(self): return "".format( pattern=self.pattern ) 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 regex: a regex string or precompiled pattern 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. Valid options are `re.fullmatch`, `re.search`, and `re.match`; the default ``None`` means `re.fullmatch`. For performance reasons, the pattern is always precompiled using `re.compile`. .. versionadded:: 19.2.0 .. versionchanged:: 21.3.0 *regex* can be a pre-compiled pattern. """ valid_funcs = (re.fullmatch, None, re.search, re.match) if func not in valid_funcs: raise ValueError( "'func' must be one of {}.".format( ", ".join( sorted( e and e.__name__ or "None" for e in set(valid_funcs) ) ) ) ) if isinstance(regex, Pattern): if flags: raise TypeError( "'flags' can only be used with a string pattern; " "pass flags to re.compile() instead" ) pattern = regex else: pattern = re.compile(regex, flags) if func is re.match: match_func = pattern.match elif func is re.search: match_func = pattern.search else: match_func = pattern.fullmatch return _MatchesReValidator(pattern, match_func) @attrs(repr=False, slots=True, hash=True) class _ProvidesValidator: 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 interface: The interface to check for. :type interface: ``zope.interface.Interface`` :raises TypeError: With a human readable error message, the attribute (of type `attrs.Attribute`), the expected interface, and the value it got. """ return _ProvidesValidator(interface) @attrs(repr=False, slots=True, hash=True) class _OptionalValidator: 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: 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 ), attr, self.options, 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 `attrs.Attribute`), the expected options, and the value it got. .. versionadded:: 17.1.0 .. versionchanged:: 22.1.0 The ValueError was incomplete until now and only contained the human readable error message. Now it contains all the information that has been promised since 17.1.0. """ return _InValidator(options) @attrs(repr=False, slots=False, hash=True) class _IsCallableValidator: 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 (`attrs.Attribute`) name, and the value it got. """ return _IsCallableValidator() @attrs(repr=False, slots=True, hash=True) class _DeepIterable: 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 f" {self.iterable_validator!r}" ) 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(s) 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 """ if isinstance(member_validator, (list, tuple)): member_validator = and_(*member_validator) return _DeepIterable(member_validator, iterable_validator) @attrs(repr=False, slots=True, hash=True) class _DeepMapping: 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) @attrs(repr=False, frozen=True, slots=True) class _NumberValidator: bound = attrib() compare_op = attrib() compare_func = attrib() def __call__(self, inst, attr, value): """ We use a callable class to be able to change the ``__repr__``. """ if not self.compare_func(value, self.bound): raise ValueError( "'{name}' must be {op} {bound}: {value}".format( name=attr.name, op=self.compare_op, bound=self.bound, value=value, ) ) def __repr__(self): return "".format( op=self.compare_op, bound=self.bound ) def lt(val): """ A validator that raises `ValueError` if the initializer is called with a number larger or equal to *val*. :param val: Exclusive upper bound for values .. versionadded:: 21.3.0 """ return _NumberValidator(val, "<", operator.lt) def le(val): """ A validator that raises `ValueError` if the initializer is called with a number greater than *val*. :param val: Inclusive upper bound for values .. versionadded:: 21.3.0 """ return _NumberValidator(val, "<=", operator.le) def ge(val): """ A validator that raises `ValueError` if the initializer is called with a number smaller than *val*. :param val: Inclusive lower bound for values .. versionadded:: 21.3.0 """ return _NumberValidator(val, ">=", operator.ge) def gt(val): """ A validator that raises `ValueError` if the initializer is called with a number smaller or equal to *val*. :param val: Exclusive lower bound for values .. versionadded:: 21.3.0 """ return _NumberValidator(val, ">", operator.gt) @attrs(repr=False, frozen=True, slots=True) class _MaxLengthValidator: max_length = attrib() def __call__(self, inst, attr, value): """ We use a callable class to be able to change the ``__repr__``. """ if len(value) > self.max_length: raise ValueError( "Length of '{name}' must be <= {max}: {len}".format( name=attr.name, max=self.max_length, len=len(value) ) ) def __repr__(self): return f"" def max_len(length): """ A validator that raises `ValueError` if the initializer is called with a string or iterable that is longer than *length*. :param int length: Maximum length of the string or iterable .. versionadded:: 21.3.0 """ return _MaxLengthValidator(length) @attrs(repr=False, frozen=True, slots=True) class _MinLengthValidator: min_length = attrib() def __call__(self, inst, attr, value): """ We use a callable class to be able to change the ``__repr__``. """ if len(value) < self.min_length: raise ValueError( "Length of '{name}' must be => {min}: {len}".format( name=attr.name, min=self.min_length, len=len(value) ) ) def __repr__(self): return f"" def min_len(length): """ A validator that raises `ValueError` if the initializer is called with a string or iterable that is shorter than *length*. :param int length: Minimum length of the string or iterable .. versionadded:: 22.1.0 """ return _MinLengthValidator(length) @attrs(repr=False, slots=True, hash=True) class _SubclassOfValidator: type = attrib() def __call__(self, inst, attr, value): """ We use a callable class to be able to change the ``__repr__``. """ if not issubclass(value, self.type): raise TypeError( "'{name}' must be a subclass of {type!r} " "(got {value!r}).".format( name=attr.name, type=self.type, value=value, ), attr, self.type, value, ) def __repr__(self): return "".format( type=self.type ) def _subclass_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 `issubclass` 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 `attrs.Attribute`), the expected type, and the value it got. """ return _SubclassOfValidator(type) @attrs(repr=False, slots=True, hash=True) class _NotValidator: validator = attrib() msg = attrib( converter=default_if_none( "not_ validator child '{validator!r}' " "did not raise a captured error" ) ) exc_types = attrib( validator=deep_iterable( member_validator=_subclass_of(Exception), iterable_validator=instance_of(tuple), ), ) def __call__(self, inst, attr, value): try: self.validator(inst, attr, value) except self.exc_types: pass # suppress error to invert validity else: raise ValueError( self.msg.format( validator=self.validator, exc_types=self.exc_types, ), attr, self.validator, value, self.exc_types, ) def __repr__(self): return ( "" ).format( what=self.validator, exc_types=self.exc_types, ) def not_(validator, *, msg=None, exc_types=(ValueError, TypeError)): """ A validator that wraps and logically 'inverts' the validator passed to it. It will raise a `ValueError` if the provided validator *doesn't* raise a `ValueError` or `TypeError` (by default), and will suppress the exception if the provided validator *does*. Intended to be used with existing validators to compose logic without needing to create inverted variants, for example, ``not_(in_(...))``. :param validator: A validator to be logically inverted. :param msg: Message to raise if validator fails. Formatted with keys ``exc_types`` and ``validator``. :type msg: str :param exc_types: Exception type(s) to capture. Other types raised by child validators will not be intercepted and pass through. :raises ValueError: With a human readable error message, the attribute (of type `attrs.Attribute`), the validator that failed to raise an exception, the value it got, and the expected exception types. .. versionadded:: 22.2.0 """ try: exc_types = tuple(exc_types) except TypeError: exc_types = (exc_types,) return _NotValidator(validator, msg, exc_types)