Source code for jsonschema.exceptions

"""
Validation errors, and some surrounding helpers.
"""
from __future__ import annotations

from collections import defaultdict, deque
from pprint import pformat
from textwrap import dedent, indent
from typing import ClassVar
import heapq
import itertools

import attr

from jsonschema import _utils

WEAK_MATCHES: frozenset[str] = frozenset(["anyOf", "oneOf"])
STRONG_MATCHES: frozenset[str] = frozenset()

_unset = _utils.Unset()


class _Error(Exception):

    _word_for_schema_in_error_message: ClassVar[str]
    _word_for_instance_in_error_message: ClassVar[str]

    def __init__(
        self,
        message: str,
        validator=_unset,
        path=(),
        cause=None,
        context=(),
        validator_value=_unset,
        instance=_unset,
        schema=_unset,
        schema_path=(),
        parent=None,
        type_checker=_unset,
    ):
        super(_Error, self).__init__(
            message,
            validator,
            path,
            cause,
            context,
            validator_value,
            instance,
            schema,
            schema_path,
            parent,
        )
        self.message = message
        self.path = self.relative_path = deque(path)
        self.schema_path = self.relative_schema_path = deque(schema_path)
        self.context = list(context)
        self.cause = self.__cause__ = cause
        self.validator = validator
        self.validator_value = validator_value
        self.instance = instance
        self.schema = schema
        self.parent = parent
        self._type_checker = type_checker

        for error in context:
            error.parent = self

    def __repr__(self):
        return f"<{self.__class__.__name__}: {self.message!r}>"

    def __str__(self):
        essential_for_verbose = (
            self.validator, self.validator_value, self.instance, self.schema,
        )
        if any(m is _unset for m in essential_for_verbose):
            return self.message

        schema_path = _utils.format_as_index(
            container=self._word_for_schema_in_error_message,
            indices=list(self.relative_schema_path)[:-1],
        )
        instance_path = _utils.format_as_index(
            container=self._word_for_instance_in_error_message,
            indices=self.relative_path,
        )
        prefix = 16 * " "

        return dedent(
            f"""\
            {self.message}

            Failed validating {self.validator!r} in {schema_path}:
                {indent(pformat(self.schema, width=72), prefix).lstrip()}

            On {instance_path}:
                {indent(pformat(self.instance, width=72), prefix).lstrip()}
            """.rstrip(),
        )

    @classmethod
    def create_from(cls, other):
        return cls(**other._contents())

    @property
    def absolute_path(self):
        parent = self.parent
        if parent is None:
            return self.relative_path

        path = deque(self.relative_path)
        path.extendleft(reversed(parent.absolute_path))
        return path

    @property
    def absolute_schema_path(self):
        parent = self.parent
        if parent is None:
            return self.relative_schema_path

        path = deque(self.relative_schema_path)
        path.extendleft(reversed(parent.absolute_schema_path))
        return path

    @property
    def json_path(self):
        path = "$"
        for elem in self.absolute_path:
            if isinstance(elem, int):
                path += "[" + str(elem) + "]"
            else:
                path += "." + elem
        return path

    def _set(self, type_checker=None, **kwargs):
        if type_checker is not None and self._type_checker is _unset:
            self._type_checker = type_checker

        for k, v in kwargs.items():
            if getattr(self, k) is _unset:
                setattr(self, k, v)

    def _contents(self):
        attrs = (
            "message", "cause", "context", "validator", "validator_value",
            "path", "schema_path", "instance", "schema", "parent",
        )
        return dict((attr, getattr(self, attr)) for attr in attrs)

    def _matches_type(self):
        try:
            expected = self.schema["type"]
        except (KeyError, TypeError):
            return False

        if isinstance(expected, str):
            return self._type_checker.is_type(self.instance, expected)

        return any(
            self._type_checker.is_type(self.instance, expected_type)
            for expected_type in expected
        )


[docs]class ValidationError(_Error): """ An instance was invalid under a provided schema. """ _word_for_schema_in_error_message = "schema" _word_for_instance_in_error_message = "instance"
[docs]class SchemaError(_Error): """ A schema was invalid under its corresponding metaschema. """ _word_for_schema_in_error_message = "metaschema" _word_for_instance_in_error_message = "schema"
[docs]@attr.s(hash=True) class RefResolutionError(Exception): """ A ref could not be resolved. """ _cause = attr.ib() def __str__(self): return str(self._cause)
[docs]class UndefinedTypeCheck(Exception): """ A type checker was asked to check a type it did not have registered. """ def __init__(self, type): self.type = type def __str__(self): return f"Type {self.type!r} is unknown to this type checker"
[docs]class UnknownType(Exception): """ A validator was asked to validate an instance against an unknown type. """ def __init__(self, type, instance, schema): self.type = type self.instance = instance self.schema = schema def __str__(self): prefix = 16 * " " return dedent( f"""\ Unknown type {self.type!r} for validator with schema: {indent(pformat(self.schema, width=72), prefix).lstrip()} While checking instance: {indent(pformat(self.instance, width=72), prefix).lstrip()} """.rstrip(), )
[docs]class FormatError(Exception): """ Validating a format failed. """ def __init__(self, message, cause=None): super(FormatError, self).__init__(message, cause) self.message = message self.cause = self.__cause__ = cause def __str__(self): return self.message
[docs]class ErrorTree: """ ErrorTrees make it easier to check which validations failed. """ _instance = _unset
[docs] def __init__(self, errors=()): self.errors = {} self._contents = defaultdict(self.__class__) for error in errors: container = self for element in error.path: container = container[element] container.errors[error.validator] = error container._instance = error.instance
[docs] def __contains__(self, index): """ Check whether ``instance[index]`` has any errors. """ return index in self._contents
[docs] def __getitem__(self, index): """ Retrieve the child tree one level down at the given ``index``. If the index is not in the instance that this tree corresponds to and is not known by this tree, whatever error would be raised by ``instance.__getitem__`` will be propagated (usually this is some subclass of `LookupError`. """ if self._instance is not _unset and index not in self: self._instance[index] return self._contents[index]
[docs] def __setitem__(self, index, value): """ Add an error to the tree at the given ``index``. """ self._contents[index] = value
[docs] def __iter__(self): """ Iterate (non-recursively) over the indices in the instance with errors. """ return iter(self._contents)
[docs] def __len__(self): """ Return the `total_errors`. """ return self.total_errors
[docs] def __repr__(self): total = len(self) errors = "error" if total == 1 else "errors" return f"<{self.__class__.__name__} ({total} total {errors})>"
@property def total_errors(self): """ The total number of errors in the entire tree, including children. """ child_errors = sum(len(tree) for _, tree in self._contents.items()) return len(self.errors) + child_errors
[docs]def by_relevance(weak=WEAK_MATCHES, strong=STRONG_MATCHES): """ Create a key function that can be used to sort errors by relevance. Arguments: weak (set): a collection of validation keywords to consider to be "weak". If there are two errors at the same level of the instance and one is in the set of weak validation keywords, the other error will take priority. By default, :kw:`anyOf` and :kw:`oneOf` are considered weak keywords and will be superseded by other same-level validation errors. strong (set): a collection of validation keywords to consider to be "strong" """ def relevance(error): validator = error.validator return ( -len(error.path), validator not in weak, validator in strong, not error._matches_type(), ) return relevance
relevance = by_relevance() """ A key function (e.g. to use with `sorted`) which sorts errors by relevance. Example: .. code:: python sorted(validator.iter_errors(12), key=jsonschema.exceptions.relevance) """
[docs]def best_match(errors, key=relevance): """ Try to find an error that appears to be the best match among given errors. In general, errors that are higher up in the instance (i.e. for which `ValidationError.path` is shorter) are considered better matches, since they indicate "more" is wrong with the instance. If the resulting match is either :kw:`oneOf` or :kw:`anyOf`, the *opposite* assumption is made -- i.e. the deepest error is picked, since these keywords only need to match once, and any other errors may not be relevant. Arguments: errors (collections.abc.Iterable): the errors to select from. Do not provide a mixture of errors from different validation attempts (i.e. from different instances or schemas), since it won't produce sensical output. key (collections.abc.Callable): the key to use when sorting errors. See `relevance` and transitively `by_relevance` for more details (the default is to sort with the defaults of that function). Changing the default is only useful if you want to change the function that rates errors but still want the error context descent done by this function. Returns: the best matching error, or ``None`` if the iterable was empty .. note:: This function is a heuristic. Its return value may change for a given set of inputs from version to version if better heuristics are added. """ errors = iter(errors) best = next(errors, None) if best is None: return best = max(itertools.chain([best], errors), key=key) while best.context: # Calculate the minimum via nsmallest, because we don't recurse if # all nested errors have the same relevance (i.e. if min == max == all) smallest = heapq.nsmallest(2, best.context, key=key) if len(smallest) == 2 and key(smallest[0]) == key(smallest[1]): return best best = smallest[0] return best