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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",
+ "or_",
+ "set_disabled",
+]
+
+
+def set_disabled(disabled):
+ """
+ Globally disable or enable running validators.
+
+ By default, they are run.
+
+ Args:
+ disabled (bool): If `True`, disable running all validators.
+
+ .. 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.
+
+ Returns:
+ bool:`True` if validators are currently disabled.
+
+ .. 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, unsafe_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):
+ msg = f"'{attr.name}' must be {self.type!r} (got {value!r} that is a {value.__class__!r})."
+ raise TypeError(
+ msg,
+ attr,
+ self.type,
+ value,
+ )
+
+ def __repr__(self):
+ return f"<instance_of validator for type {self.type!r}>"
+
+
+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).
+
+ Args:
+ type (type | tuple[type]): The type to check for.
+
+ 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):
+ msg = f"'{attr.name}' must match regex {self.pattern.pattern!r} ({value!r} doesn't)"
+ raise ValueError(
+ msg,
+ attr,
+ self.pattern,
+ value,
+ )
+
+ def __repr__(self):
+ return f"<matches_re validator for pattern {self.pattern!r}>"
+
+
+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*.
+
+ Args:
+ regex (str, re.Pattern):
+ A regex string or precompiled pattern to match against
+
+ flags (int):
+ Flags that will be passed to the underlying re function (default 0)
+
+ func (typing.Callable):
+ 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:
+ msg = "'func' must be one of {}.".format(
+ ", ".join(
+ sorted((e and e.__name__) or "None" for e in set(valid_funcs))
+ )
+ )
+ raise ValueError(msg)
+
+ if isinstance(regex, Pattern):
+ if flags:
+ msg = "'flags' can only be used with a string pattern; pass flags to re.compile() instead"
+ raise TypeError(msg)
+ 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, unsafe_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 f"<optional validator for {self.validator!r} or None>"
+
+
+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.
+
+ Args:
+ validator
+ (typing.Callable | tuple[typing.Callable] | list[typing.Callable]):
+ 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, unsafe_hash=True)
+class _InValidator:
+ options = attrib()
+ _original_options = attrib(hash=False)
+
+ 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:
+ msg = f"'{attr.name}' must be in {self._original_options!r} (got {value!r})"
+ raise ValueError(
+ msg,
+ attr,
+ self._original_options,
+ value,
+ )
+
+ def __repr__(self):
+ return f"<in_ validator with options {self._original_options!r}>"
+
+
+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``, so *options* has to
+ support that operation.
+
+ To keep the validator hashable, dicts, lists, and sets are transparently
+ transformed into a `tuple`.
+
+ Args:
+ options: Allowed options.
+
+ 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.
+ .. versionchanged:: 24.1.0
+ *options* that are a list, dict, or a set are now transformed into a
+ tuple to keep the validator hashable.
+ """
+ repr_options = options
+ if isinstance(options, (list, dict, set)):
+ options = tuple(options)
+
+ return _InValidator(options, repr_options)
+
+
+@attrs(repr=False, slots=False, unsafe_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, unsafe_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 (
+ f"<deep_iterable validator for{iterable_identifier}"
+ f" iterables of {self.member_validator!r}>"
+ )
+
+
+def deep_iterable(member_validator, iterable_validator=None):
+ """
+ A validator that performs deep validation of an iterable.
+
+ Args:
+ member_validator: Validator to apply to iterable members.
+
+ iterable_validator:
+ Validator to apply to iterable itself (optional).
+
+ Raises
+ TypeError: if any sub-validators fail
+
+ .. versionadded:: 19.1.0
+ """
+ if isinstance(member_validator, (list, tuple)):
+ member_validator = and_(*member_validator)
+ return _DeepIterable(member_validator, iterable_validator)
+
+
+@attrs(repr=False, slots=True, unsafe_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 f"<deep_mapping validator for objects mapping {self.key_validator!r} to {self.value_validator!r}>"
+
+
+def deep_mapping(key_validator, value_validator, mapping_validator=None):
+ """
+ A validator that performs deep validation of a dictionary.
+
+ Args:
+ key_validator: Validator to apply to dictionary keys.
+
+ value_validator: Validator to apply to dictionary values.
+
+ 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):
+ msg = f"'{attr.name}' must be {self.compare_op} {self.bound}: {value}"
+ raise ValueError(msg)
+
+ def __repr__(self):
+ return f"<Validator for x {self.compare_op} {self.bound}>"
+
+
+def lt(val):
+ """
+ A validator that raises `ValueError` if the initializer is called with a
+ number larger or equal to *val*.
+
+ The validator uses `operator.lt` to compare the values.
+
+ Args:
+ 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*.
+
+ The validator uses `operator.le` to compare the values.
+
+ Args:
+ 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*.
+
+ The validator uses `operator.ge` to compare the values.
+
+ Args:
+ 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*.
+
+ The validator uses `operator.ge` to compare the values.
+
+ Args:
+ 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:
+ msg = f"Length of '{attr.name}' must be <= {self.max_length}: {len(value)}"
+ raise ValueError(msg)
+
+ 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*.
+
+ Args:
+ length (int): 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:
+ msg = f"Length of '{attr.name}' must be >= {self.min_length}: {len(value)}"
+ raise ValueError(msg)
+
+ 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*.
+
+ Args:
+ length (int): Minimum length of the string or iterable
+
+ .. versionadded:: 22.1.0
+ """
+ return _MinLengthValidator(length)
+
+
+@attrs(repr=False, slots=True, unsafe_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):
+ msg = f"'{attr.name}' must be a subclass of {self.type!r} (got {value!r})."
+ raise TypeError(
+ msg,
+ attr,
+ self.type,
+ value,
+ )
+
+ def __repr__(self):
+ return f"<subclass_of validator for type {self.type!r}>"
+
+
+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).
+
+ Args:
+ type (type | tuple[type, ...]): The type(s) to check for.
+
+ 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, unsafe_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 f"<not_ validator wrapping {self.validator!r}, capturing {self.exc_types!r}>"
+
+
+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_(...))``.
+
+ Args:
+ validator: A validator to be logically inverted.
+
+ msg (str):
+ Message to raise if validator fails. Formatted with keys
+ ``exc_types`` and ``validator``.
+
+ exc_types (tuple[type, ...]):
+ 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)
+
+
+@attrs(repr=False, slots=True, unsafe_hash=True)
+class _OrValidator:
+ validators = attrib()
+
+ def __call__(self, inst, attr, value):
+ for v in self.validators:
+ try:
+ v(inst, attr, value)
+ except Exception: # noqa: BLE001, PERF203, S112
+ continue
+ else:
+ return
+
+ msg = f"None of {self.validators!r} satisfied for value {value!r}"
+ raise ValueError(msg)
+
+ def __repr__(self):
+ return f"<or validator wrapping {self.validators!r}>"
+
+
+def or_(*validators):
+ """
+ A validator that composes multiple validators into one.
+
+ When called on a value, it runs all wrapped validators until one of them is
+ satisfied.
+
+ Args:
+ validators (~collections.abc.Iterable[typing.Callable]):
+ Arbitrary number of validators.
+
+ Raises:
+ ValueError:
+ If no validator is satisfied. Raised with a human-readable error
+ message listing all the wrapped validators and the value that
+ failed all of them.
+
+ .. versionadded:: 24.1.0
+ """
+ vals = []
+ for v in validators:
+ vals.extend(v.validators if isinstance(v, _OrValidator) else [v])
+
+ return _OrValidator(tuple(vals))