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+# SPDX-License-Identifier: MIT
+
+"""
+Commonly useful validators.
+"""
+
+
+import operator
+import re
+
+from contextlib import contextmanager
+from re import Pattern
+
+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
+
+
+__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 "<instance_of validator for type {type!r}>".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 "<matches_re validator for pattern {pattern!r}>".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 "<provides validator for interface {interface!r}>".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
+ <https://zopeinterface.readthedocs.io/en/latest/>`_).
+
+ :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.
+
+ .. deprecated:: 23.1.0
+ """
+ import warnings
+
+ warnings.warn(
+ "attrs's zope-interface support is deprecated and will be removed in, "
+ "or after, April 2024.",
+ DeprecationWarning,
+ stacklevel=2,
+ )
+ 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 "<optional validator for {what} or None>".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 Callable | tuple[Callable] | list[Callable] validator: A validator
+ (or validators) that is used for non-``None`` values.
+
+ .. versionadded:: 15.1.0
+ .. versionchanged:: 17.1.0 *validator* can be a list of validators.
+ .. versionchanged:: 23.1.0 *validator* can also be a tuple of validators.
+ """
+ if isinstance(validator, (list, tuple)):
+ 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 "<in_ validator with options {options!r}>".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 "<is_callable validator>"
+
+
+def is_callable():
+ """
+ A validator that raises a `attrs.exceptions.NotCallableError` if the
+ initializer is called with a value for this particular attribute
+ that is not callable.
+
+ .. versionadded:: 19.1.0
+
+ :raises attrs.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 (
+ "<deep_iterable validator for{iterable_identifier}"
+ " iterables of {member!r}>"
+ ).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 (
+ "<deep_mapping validator for objects mapping {key!r} to {value!r}>"
+ ).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 "<Validator for x {op} {bound}>".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"<max_len validator for {self.max_length}>"
+
+
+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"<min_len validator for {self.min_length}>"
+
+
+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 "<subclass_of validator for type {type!r}>".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 (
+ "<not_ validator wrapping {what!r}, " "capturing {exc_types!r}>"
+ ).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)