Current File : //lib/python3/dist-packages/jsonschema/__pycache__/protocols.cpython-312.pyc
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typing.Protocol classes for jsonschema interfaces.
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TYPE_CHECKING�Any�ClassVar�IteratorN)� � )�Protocol�runtime_checkable)�ValidationError)� RefResolverc � � e Zd ZU dZded< ded< ded< ded< d ed
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The protocol to which all validator classes should adhere.
:argument schema: the schema that the validator object
will validate with. It is assumed to be valid, and providing
an invalid schema can lead to undefined behavior. See
`Validator.check_schema` to validate a schema first.
:argument resolver: an instance of `jsonschema.RefResolver` that will be
used to resolve :kw:`$ref` properties (JSON references). If
unprovided, one will be created.
:argument format_checker: an instance of `jsonschema.FormatChecker`
whose `jsonschema.FormatChecker.conforms` method will be called to
check and see if instances conform to each :kw:`format`
property present in the schema. If unprovided, no validation
will be done for :kw:`format`. Certain formats require
additional packages to be installed (ipv5, uri, color, date-time).
The required packages can be found at the bottom of this page.
zClassVar[dict]� META_SCHEMA�
VALIDATORSz ClassVar[jsonschema.TypeChecker]� TYPE_CHECKERz"ClassVar[jsonschema.FormatChecker]�FORMAT_CHECKER� dict | bool�schemaNc � � y )N� )�selfr �resolver�format_checkers �6/usr/lib/python3/dist-packages/jsonschema/protocols.py�__init__zValidator.__init__Y s � � � c � � y)z�
Validate the given schema against the validator's `META_SCHEMA`.
:raises: `jsonschema.exceptions.SchemaError` if the schema
is invalid
Nr )�clsr s r � check_schemazValidator.check_schemaa � � r c � � y)z�
Check if the instance is of the given (JSON Schema) type.
:type type: str
:rtype: bool
:raises: `jsonschema.exceptions.UnknownType` if ``type``
is not a known type.
Nr )r �instance�types r �is_typezValidator.is_typej r! r c � � y)z�
Check if the instance is valid under the current `schema`.
:rtype: bool
>>> schema = {"maxItems" : 2}
>>> Draft202012Validator(schema).is_valid([2, 3, 4])
False
Nr �r r# s r �is_validzValidator.is_validt r! r c � � y)a)
Lazily yield each of the validation errors in the given instance.
:rtype: an `collections.abc.Iterable` of
`jsonschema.exceptions.ValidationError`\s
>>> schema = {
... "type" : "array",
... "items" : {"enum" : [1, 2, 3]},
... "maxItems" : 2,
... }
>>> v = Draft202012Validator(schema)
>>> for error in sorted(v.iter_errors([2, 3, 4]), key=str):
... print(error.message)
4 is not one of [1, 2, 3]
[2, 3, 4] is too long
Nr r' s r � iter_errorszValidator.iter_errors r! r c � � y)a{
Check if the instance is valid under the current `schema`.
:raises: `jsonschema.exceptions.ValidationError` if the
instance is invalid
>>> schema = {"maxItems" : 2}
>>> Draft202012Validator(schema).validate([2, 3, 4])
Traceback (most recent call last):
...
ValidationError: [2, 3, 4] is too long
Nr r' s r �validatezValidator.validate� r! r c � � y)al
Create a new validator like this one, but with given changes.
Preserves all other attributes, so can be used to e.g. create a
validator with a different schema but with the same :kw:`$ref`
resolution behavior.
>>> validator = Draft202012Validator({})
>>> validator.evolve(schema={"type": "number"})
Draft202012Validator(schema={'type': 'number'}, format_checker=None)
The returned object satisfies the validator protocol, but may not
be of the same concrete class! In particular this occurs
when a :kw:`$ref` occurs to a schema with a different
:kw:`$schema` than this one (i.e. for a different draft).
>>> validator.evolve(
... schema={"$schema": Draft7Validator.META_SCHEMA["$id"]}
... )
Draft7Validator(schema=..., format_checker=None)
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