"""
typing.Protocol classes for jsonschema interfaces.
"""

# for reference material on Protocols, see
#   https://www.python.org/dev/peps/pep-0544/

from __future__ import annotations

from typing import TYPE_CHECKING, Any, ClassVar, Iterator
import sys

# doing these imports with `try ... except ImportError` doesn't pass mypy
# checking because mypy sees `typing._SpecialForm` and
# `typing_extensions._SpecialForm` as incompatible
#
# see:
# https://mypy.readthedocs.io/en/stable/runtime_troubles.html#using-new-additions-to-the-typing-module
# https://github.com/python/mypy/issues/4427
if sys.version_info >= (3, 8):
    from typing import Protocol, runtime_checkable
else:
    from typing_extensions import Protocol, runtime_checkable

# in order for Sphinx to resolve references accurately from type annotations,
# it needs to see names like `jsonschema.TypeChecker`
# therefore, only import at type-checking time (to avoid circular references),
# but use `jsonschema` for any types which will otherwise not be resolvable
if TYPE_CHECKING:
    import jsonschema

from jsonschema.exceptions import ValidationError
from jsonschema.validators import RefResolver

# For code authors working on the validator protocol, these are the three
# use-cases which should be kept in mind:
#
# 1. As a protocol class, it can be used in type annotations to describe the
#    available methods and attributes of a validator
# 2. It is the source of autodoc for the validator documentation
# 3. It is runtime_checkable, meaning that it can be used in isinstance()
#    checks.
#
# Since protocols are not base classes, isinstance() checking is limited in
# its capabilities. See docs on runtime_checkable for detail


@runtime_checkable
class Validator(Protocol):
    """
    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 :validator:`$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 :validator:`format`
        property present in the schema. If unprovided, no validation
        will be done for :validator:`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.
    """

    #: An object representing the validator's meta schema (the schema that
    #: describes valid schemas in the given version).
    META_SCHEMA: ClassVar[dict]

    #: A mapping of validator names (`str`\s) to functions
    #: that validate the validator property with that name. For more
    #: information see `creating-validators`.
    VALIDATORS: ClassVar[dict]

    #: A `jsonschema.TypeChecker` that will be used when validating
    #: :validator:`type` properties in JSON schemas.
    TYPE_CHECKER: ClassVar[jsonschema.TypeChecker]

    #: The schema that was passed in when initializing the object.
    schema: dict | bool

    def __init__(
        self,
        schema: dict | bool,
        resolver: RefResolver | None = None,
        format_checker: jsonschema.FormatChecker | None = None,
    ) -> None:
        ...

    @classmethod
    def check_schema(cls, schema: dict) -> None:
        """
        Validate the given schema against the validator's `META_SCHEMA`.

        :raises: `jsonschema.exceptions.SchemaError` if the schema
            is invalid
        """

    def is_type(self, instance: Any, type: str) -> bool:
        """
        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.
        """

    def is_valid(self, instance: dict) -> bool:
        """
        Check if the instance is valid under the current `schema`.

        :rtype: bool

        >>> schema = {"maxItems" : 2}
        >>> Draft3Validator(schema).is_valid([2, 3, 4])
        False
        """

    def iter_errors(self, instance: dict) -> Iterator[ValidationError]:
        r"""
        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 = Draft3Validator(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
        """

    def validate(self, instance: dict) -> None:
        """
        Check if the instance is valid under the current `schema`.

        :raises: `jsonschema.exceptions.ValidationError` if the
            instance is invalid

        >>> schema = {"maxItems" : 2}
        >>> Draft3Validator(schema).validate([2, 3, 4])
        Traceback (most recent call last):
            ...
        ValidationError: [2, 3, 4] is too long
        """

    def evolve(self, **kwargs) -> "Validator":
        """
        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 :validator:`$ref`
        resolution behavior.

        >>> validator = Draft202012Validator({})
        >>> validator.evolve(schema={"type": "number"})
        Draft202012Validator(schema={'type': 'number'}, format_checker=None)
        """
