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"""
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An implementation of JSON Schema for Python
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The main functionality is provided by the validator classes for each of the
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supported JSON Schema versions.
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Most commonly, the :function:`validate` function is the quickest way to simply
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validate a given instance under a schema, and will create a validator for you.
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"""
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from __future__ import division, unicode_literals
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import collections
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import itertools
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import operator
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import re
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import sys
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import warnings
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__version__ = "0.7"
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FLOAT_TOLERANCE = 10 ** -15
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PY3 = sys.version_info[0] >= 3
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if PY3:
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basestring = unicode = str
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iteritems = operator.methodcaller("items")
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from urllib.parse import unquote
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else:
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from itertools import izip as zip
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iteritems = operator.methodcaller("iteritems")
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from urllib import unquote
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class UnknownType(Exception):
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"""
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An unknown type was given.
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"""
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class InvalidRef(Exception):
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"""
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An invalid reference was given.
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"""
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class SchemaError(Exception):
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"""
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The provided schema is malformed.
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The same attributes exist for ``SchemaError``s as for ``ValidationError``s.
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"""
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validator = None
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def __init__(self, message):
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super(SchemaError, self).__init__(message)
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self.message = message
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self.path = []
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class ValidationError(Exception):
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"""
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The instance didn't properly validate with the provided schema.
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Relevant attributes are:
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* ``message`` : a human readable message explaining the error
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* ``path`` : a list containing the path to the offending element (or []
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if the error happened globally) in *reverse* order (i.e.
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deepest index first).
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"""
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# the failing validator will be set externally at whatever recursion level
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# is immediately above the validation failure
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validator = None
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def __init__(self, message):
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super(ValidationError, self).__init__(message)
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self.message = message
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# Any validator that recurses must append to the ValidationError's
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# path (e.g., properties and items)
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self.path = []
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class Draft3Validator(object):
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"""
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A validator for JSON Schema draft 3.
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"""
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DEFAULT_TYPES = {
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"array" : list, "boolean" : bool, "integer" : int, "null" : type(None),
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"number" : (int, float), "object" : dict, "string" : basestring,
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}
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def __init__(self, schema, types=()):
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"""
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Initialize a validator.
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``schema`` should be a *valid* JSON Schema object already converted to
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a native Python object (typically a dict via ``json.load``).
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``types`` is a mapping (or iterable of 2-tuples) containing additional
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types or alternate types to verify via the 'type' property. For
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instance, the default types for the 'number' JSON Schema type are
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``int`` and ``float``. To override this behavior (e.g. for also
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allowing ``decimal.Decimal``), pass ``types={"number" : (int, float,
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decimal.Decimal)} *including* the default types if so desired, which
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are fairly obvious but can be accessed via the ``DEFAULT_TYPES``
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attribute on this class if necessary.
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"""
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self._types = dict(self.DEFAULT_TYPES)
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self._types.update(types)
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self._types["any"] = tuple(self._types.values())
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self.schema = schema
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def is_type(self, instance, type):
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"""
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Check if an ``instance`` is of the provided (JSON Schema) ``type``.
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"""
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if type not in self._types:
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raise UnknownType(type)
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type = self._types[type]
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# bool inherits from int, so ensure bools aren't reported as integers
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if isinstance(instance, bool):
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type = _flatten(type)
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if int in type and bool not in type:
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return False
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return isinstance(instance, type)
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def is_valid(self, instance, _schema=None):
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"""
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Check if the ``instance`` is valid under the current schema.
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Returns a bool indicating whether validation succeeded.
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"""
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error = next(self.iter_errors(instance, _schema), None)
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return error is None
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@classmethod
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def check_schema(cls, schema):
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"""
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Validate a ``schema`` against the meta-schema to see if it is valid.
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"""
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for error in cls(cls.META_SCHEMA).iter_errors(schema):
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s = SchemaError(error.message)
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s.path = error.path
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s.validator = error.validator
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# I think we're safer raising these always, not yielding them
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raise s
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def iter_errors(self, instance, _schema=None):
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"""
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Lazily yield each of the errors in the given ``instance``.
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"""
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if _schema is None:
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_schema = self.schema
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for k, v in iteritems(_schema):
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validator = getattr(self, "validate_%s" % (k.lstrip("$"),), None)
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if validator is None:
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continue
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errors = validator(v, instance, _schema) or ()
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for error in errors:
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# if the validator hasn't already been set (due to recursion)
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# make sure to set it
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error.validator = error.validator or k
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yield error
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def validate(self, *args, **kwargs):
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"""
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Validate an ``instance`` under the given ``schema``.
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"""
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for error in self.iter_errors(*args, **kwargs):
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raise error
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def validate_type(self, types, instance, schema):
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types = _list(types)
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for type in types:
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# Ouch. Brain hurts. Two paths here, either we have a schema, then
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# check if the instance is valid under it
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if ((
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self.is_type(type, "object") and
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self.is_valid(instance, type)
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# Or we have a type as a string, just check if the instance is that
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# type. Also, HACK: we can reach the `or` here if skip_types is
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# something other than error. If so, bail out.
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) or (
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self.is_type(type, "string") and
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(self.is_type(instance, type) or type not in self._types)
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)):
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return
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else:
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yield ValidationError(_types_msg(instance, types))
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def validate_properties(self, properties, instance, schema):
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if not self.is_type(instance, "object"):
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return
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for property, subschema in iteritems(properties):
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if property in instance:
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for error in self.iter_errors(instance[property], subschema):
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error.path.append(property)
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yield error
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elif subschema.get("required", False):
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error = ValidationError(
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"%r is a required property" % (property,)
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)
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error.path.append(property)
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error.validator = "required"
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yield error
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def validate_patternProperties(self, patternProperties, instance, schema):
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for pattern, subschema in iteritems(patternProperties):
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for k, v in iteritems(instance):
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if re.match(pattern, k):
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for error in self.iter_errors(v, subschema):
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yield error
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def validate_additionalProperties(self, aP, instance, schema):
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if not self.is_type(instance, "object"):
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return
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extras = set(_find_additional_properties(instance, schema))
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if self.is_type(aP, "object"):
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for extra in extras:
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for error in self.iter_errors(instance[extra], aP):
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yield error
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elif not aP and extras:
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error = "Additional properties are not allowed (%s %s unexpected)"
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yield ValidationError(error % _extras_msg(extras))
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def validate_dependencies(self, dependencies, instance, schema):
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if not self.is_type(instance, "object"):
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return
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for property, dependency in iteritems(dependencies):
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if property not in instance:
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continue
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if self.is_type(dependency, "object"):
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for error in self.iter_errors(instance, dependency):
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yield error
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else:
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dependencies = _list(dependency)
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for dependency in dependencies:
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if dependency not in instance:
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yield ValidationError(
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"%r is a dependency of %r" % (dependency, property)
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)
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def validate_items(self, items, instance, schema):
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if not self.is_type(instance, "array"):
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return
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if self.is_type(items, "object"):
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for index, item in enumerate(instance):
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for error in self.iter_errors(item, items):
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error.path.append(index)
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yield error
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else:
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for (index, item), subschema in zip(enumerate(instance), items):
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for error in self.iter_errors(item, subschema):
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error.path.append(index)
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yield error
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def validate_additionalItems(self, aI, instance, schema):
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if not self.is_type(instance, "array"):
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return
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if not self.is_type(schema.get("items"), "array"):
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return
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if self.is_type(aI, "object"):
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for item in instance[len(schema):]:
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for error in self.iter_errors(item, aI):
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yield error
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elif not aI and len(instance) > len(schema.get("items", [])):
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error = "Additional items are not allowed (%s %s unexpected)"
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yield ValidationError(
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error % _extras_msg(instance[len(schema.get("items", [])):])
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)
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def validate_minimum(self, minimum, instance, schema):
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if not self.is_type(instance, "number"):
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return
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instance = float(instance)
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|
if schema.get("exclusiveMinimum", False):
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failed = instance <= minimum
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cmp = "less than or equal to"
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else:
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failed = instance < minimum
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cmp = "less than"
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|
if failed:
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yield ValidationError(
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"%r is %s the minimum of %r" % (instance, cmp, minimum)
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)
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def validate_maximum(self, maximum, instance, schema):
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if not self.is_type(instance, "number"):
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return
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instance = float(instance)
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|
if schema.get("exclusiveMaximum", False):
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failed = instance >= maximum
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cmp = "greater than or equal to"
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else:
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failed = instance > maximum
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cmp = "greater than"
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if failed:
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yield ValidationError(
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"%r is %s the maximum of %r" % (instance, cmp, maximum)
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)
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def validate_minItems(self, mI, instance, schema):
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if self.is_type(instance, "array") and len(instance) < mI:
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yield ValidationError("%r is too short" % (instance,))
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def validate_maxItems(self, mI, instance, schema):
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if self.is_type(instance, "array") and len(instance) > mI:
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yield ValidationError("%r is too long" % (instance,))
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def validate_uniqueItems(self, uI, instance, schema):
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if uI and self.is_type(instance, "array") and not _uniq(instance):
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yield ValidationError("%r has non-unique elements" % instance)
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def validate_pattern(self, patrn, instance, schema):
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if self.is_type(instance, "string") and not re.match(patrn, instance):
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yield ValidationError("%r does not match %r" % (instance, patrn))
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def validate_minLength(self, mL, instance, schema):
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if self.is_type(instance, "string") and len(instance) < mL:
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yield ValidationError("%r is too short" % (instance,))
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def validate_maxLength(self, mL, instance, schema):
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if self.is_type(instance, "string") and len(instance) > mL:
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yield ValidationError("%r is too long" % (instance,))
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|
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def validate_enum(self, enums, instance, schema):
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|
if instance not in enums:
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yield ValidationError("%r is not one of %r" % (instance, enums))
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|
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def validate_divisibleBy(self, dB, instance, schema):
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|
if not self.is_type(instance, "number"):
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|
return
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|
|
|
if isinstance(dB, float):
|
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|
mod = instance % dB
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|
failed = (mod > FLOAT_TOLERANCE) and (dB - mod) > FLOAT_TOLERANCE
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|
else:
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|
failed = instance % dB
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|
|
|
if failed:
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|
yield ValidationError("%r is not divisible by %r" % (instance, dB))
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|
|
|
def validate_disallow(self, disallow, instance, schema):
|
|
|
for disallowed in _list(disallow):
|
|
|
if self.is_valid(instance, {"type" : [disallowed]}):
|
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|
yield ValidationError(
|
|
|
"%r is disallowed for %r" % (disallowed, instance)
|
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|
)
|
|
|
|
|
|
def validate_extends(self, extends, instance, schema):
|
|
|
if self.is_type(extends, "object"):
|
|
|
extends = [extends]
|
|
|
for subschema in extends:
|
|
|
for error in self.iter_errors(instance, subschema):
|
|
|
yield error
|
|
|
|
|
|
def validate_ref(self, ref, instance, schema):
|
|
|
if ref != "#" and not ref.startswith("#/"):
|
|
|
warnings.warn("jsonschema only supports json-pointer $refs")
|
|
|
return
|
|
|
|
|
|
resolved = resolve_json_pointer(self.schema, ref)
|
|
|
for error in self.iter_errors(instance, resolved):
|
|
|
yield error
|
|
|
|
|
|
|
|
|
Draft3Validator.META_SCHEMA = {
|
|
|
"$schema" : "http://json-schema.org/draft-03/schema#",
|
|
|
"id" : "http://json-schema.org/draft-03/schema#",
|
|
|
"type" : "object",
|
|
|
|
|
|
"properties" : {
|
|
|
"type" : {
|
|
|
"type" : ["string", "array"],
|
|
|
"items" : {"type" : ["string", {"$ref" : "#"}]},
|
|
|
"uniqueItems" : True,
|
|
|
"default" : "any"
|
|
|
},
|
|
|
"properties" : {
|
|
|
"type" : "object",
|
|
|
"additionalProperties" : {"$ref" : "#", "type": "object"},
|
|
|
"default" : {}
|
|
|
},
|
|
|
"patternProperties" : {
|
|
|
"type" : "object",
|
|
|
"additionalProperties" : {"$ref" : "#"},
|
|
|
"default" : {}
|
|
|
},
|
|
|
"additionalProperties" : {
|
|
|
"type" : [{"$ref" : "#"}, "boolean"], "default" : {}
|
|
|
},
|
|
|
"items" : {
|
|
|
"type" : [{"$ref" : "#"}, "array"],
|
|
|
"items" : {"$ref" : "#"},
|
|
|
"default" : {}
|
|
|
},
|
|
|
"additionalItems" : {
|
|
|
"type" : [{"$ref" : "#"}, "boolean"], "default" : {}
|
|
|
},
|
|
|
"required" : {"type" : "boolean", "default" : False},
|
|
|
"dependencies" : {
|
|
|
"type" : ["string", "array", "object"],
|
|
|
"additionalProperties" : {
|
|
|
"type" : ["string", "array", {"$ref" : "#"}],
|
|
|
"items" : {"type" : "string"}
|
|
|
},
|
|
|
"default" : {}
|
|
|
},
|
|
|
"minimum" : {"type" : "number"},
|
|
|
"maximum" : {"type" : "number"},
|
|
|
"exclusiveMinimum" : {"type" : "boolean", "default" : False},
|
|
|
"exclusiveMaximum" : {"type" : "boolean", "default" : False},
|
|
|
"minItems" : {"type" : "integer", "minimum" : 0, "default" : 0},
|
|
|
"maxItems" : {"type" : "integer", "minimum" : 0},
|
|
|
"uniqueItems" : {"type" : "boolean", "default" : False},
|
|
|
"pattern" : {"type" : "string", "format" : "regex"},
|
|
|
"minLength" : {"type" : "integer", "minimum" : 0, "default" : 0},
|
|
|
"maxLength" : {"type" : "integer"},
|
|
|
"enum" : {"type" : "array", "minItems" : 1, "uniqueItems" : True},
|
|
|
"default" : {"type" : "any"},
|
|
|
"title" : {"type" : "string"},
|
|
|
"description" : {"type" : "string"},
|
|
|
"format" : {"type" : "string"},
|
|
|
"maxDecimal" : {"type" : "number", "minimum" : 0},
|
|
|
"divisibleBy" : {
|
|
|
"type" : "number",
|
|
|
"minimum" : 0,
|
|
|
"exclusiveMinimum" : True,
|
|
|
"default" : 1
|
|
|
},
|
|
|
"disallow" : {
|
|
|
"type" : ["string", "array"],
|
|
|
"items" : {"type" : ["string", {"$ref" : "#"}]},
|
|
|
"uniqueItems" : True
|
|
|
},
|
|
|
"extends" : {
|
|
|
"type" : [{"$ref" : "#"}, "array"],
|
|
|
"items" : {"$ref" : "#"},
|
|
|
"default" : {}
|
|
|
},
|
|
|
"id" : {"type" : "string", "format" : "uri"},
|
|
|
"$ref" : {"type" : "string", "format" : "uri"},
|
|
|
"$schema" : {"type" : "string", "format" : "uri"},
|
|
|
},
|
|
|
"dependencies" : {
|
|
|
"exclusiveMinimum" : "minimum", "exclusiveMaximum" : "maximum"
|
|
|
},
|
|
|
}
|
|
|
|
|
|
|
|
|
class Validator(Draft3Validator):
|
|
|
"""
|
|
|
Deprecated: Use :class:`Draft3Validator` instead.
|
|
|
|
|
|
"""
|
|
|
|
|
|
def __init__(
|
|
|
self, version=None, unknown_type="skip", unknown_property="skip",
|
|
|
*args, **kwargs
|
|
|
):
|
|
|
super(Validator, self).__init__({}, *args, **kwargs)
|
|
|
warnings.warn(
|
|
|
"Validator is deprecated and will be removed. "
|
|
|
"Use Draft3Validator instead.",
|
|
|
DeprecationWarning, stacklevel=2,
|
|
|
)
|
|
|
|
|
|
|
|
|
class ErrorTree(object):
|
|
|
"""
|
|
|
ErrorTrees make it easier to check which validations failed.
|
|
|
|
|
|
"""
|
|
|
|
|
|
def __init__(self, errors=()):
|
|
|
self.errors = {}
|
|
|
self._contents = collections.defaultdict(self.__class__)
|
|
|
|
|
|
for error in errors:
|
|
|
container = self
|
|
|
for element in reversed(error.path):
|
|
|
container = container[element]
|
|
|
container.errors[error.validator] = error
|
|
|
|
|
|
def __contains__(self, k):
|
|
|
return k in self._contents
|
|
|
|
|
|
def __getitem__(self, k):
|
|
|
return self._contents[k]
|
|
|
|
|
|
def __setitem__(self, k, v):
|
|
|
self._contents[k] = v
|
|
|
|
|
|
def __iter__(self):
|
|
|
return iter(self._contents)
|
|
|
|
|
|
def __len__(self):
|
|
|
child_errors = sum(len(tree) for _, tree in iteritems(self._contents))
|
|
|
return len(self.errors) + child_errors
|
|
|
|
|
|
def __repr__(self):
|
|
|
return "<%s (%s errors)>" % (self.__class__.__name__, len(self))
|
|
|
|
|
|
|
|
|
def resolve_json_pointer(schema, ref):
|
|
|
"""
|
|
|
Resolve a local reference ``ref`` within the given root ``schema``.
|
|
|
|
|
|
``ref`` should be a local ref whose ``#`` is still present.
|
|
|
|
|
|
"""
|
|
|
|
|
|
if ref == "#":
|
|
|
return schema
|
|
|
|
|
|
parts = ref.lstrip("#/").split("/")
|
|
|
|
|
|
parts = map(unquote, parts)
|
|
|
parts = [part.replace('~1', '/').replace('~0', '~') for part in parts]
|
|
|
|
|
|
try:
|
|
|
for part in parts:
|
|
|
schema = schema[part]
|
|
|
except KeyError:
|
|
|
raise InvalidRef("Unresolvable json-pointer %r" % ref)
|
|
|
else:
|
|
|
return schema
|
|
|
|
|
|
|
|
|
def _find_additional_properties(instance, schema):
|
|
|
"""
|
|
|
Return the set of additional properties for the given ``instance``.
|
|
|
|
|
|
Weeds out properties that should have been validated by ``properties`` and
|
|
|
/ or ``patternProperties``.
|
|
|
|
|
|
Assumes ``instance`` is dict-like already.
|
|
|
|
|
|
"""
|
|
|
|
|
|
properties = schema.get("properties", {})
|
|
|
patterns = "|".join(schema.get("patternProperties", {}))
|
|
|
for property in instance:
|
|
|
if property not in properties:
|
|
|
if patterns and re.search(patterns, property):
|
|
|
continue
|
|
|
yield property
|
|
|
|
|
|
|
|
|
def _extras_msg(extras):
|
|
|
"""
|
|
|
Create an error message for extra items or properties.
|
|
|
|
|
|
"""
|
|
|
|
|
|
if len(extras) == 1:
|
|
|
verb = "was"
|
|
|
else:
|
|
|
verb = "were"
|
|
|
return ", ".join(repr(extra) for extra in extras), verb
|
|
|
|
|
|
|
|
|
def _types_msg(instance, types):
|
|
|
"""
|
|
|
Create an error message for a failure to match the given types.
|
|
|
|
|
|
If the ``instance`` is an object and contains a ``name`` property, it will
|
|
|
be considered to be a description of that object and used as its type.
|
|
|
|
|
|
Otherwise the message is simply the reprs of the given ``types``.
|
|
|
|
|
|
"""
|
|
|
|
|
|
reprs = []
|
|
|
for type in types:
|
|
|
try:
|
|
|
reprs.append(repr(type["name"]))
|
|
|
except Exception:
|
|
|
reprs.append(repr(type))
|
|
|
return "%r is not of type %s" % (instance, ", ".join(reprs))
|
|
|
|
|
|
|
|
|
def _flatten(suitable_for_isinstance):
|
|
|
"""
|
|
|
isinstance() can accept a bunch of really annoying different types:
|
|
|
* a single type
|
|
|
* a tuple of types
|
|
|
* an arbitrary nested tree of tuples
|
|
|
|
|
|
Return a flattened tuple of the given argument.
|
|
|
|
|
|
"""
|
|
|
|
|
|
types = set()
|
|
|
|
|
|
if not isinstance(suitable_for_isinstance, tuple):
|
|
|
suitable_for_isinstance = (suitable_for_isinstance,)
|
|
|
for thing in suitable_for_isinstance:
|
|
|
if isinstance(thing, tuple):
|
|
|
types.update(_flatten(thing))
|
|
|
else:
|
|
|
types.add(thing)
|
|
|
return tuple(types)
|
|
|
|
|
|
|
|
|
def _list(thing):
|
|
|
"""
|
|
|
Wrap ``thing`` in a list if it's a single str.
|
|
|
|
|
|
Otherwise, return it unchanged.
|
|
|
|
|
|
"""
|
|
|
|
|
|
if isinstance(thing, basestring):
|
|
|
return [thing]
|
|
|
return thing
|
|
|
|
|
|
|
|
|
def _delist(thing):
|
|
|
"""
|
|
|
Unwrap ``thing`` to a single element if its a single str in a list.
|
|
|
|
|
|
Otherwise, return it unchanged.
|
|
|
|
|
|
"""
|
|
|
|
|
|
if (
|
|
|
isinstance(thing, list) and
|
|
|
len(thing) == 1
|
|
|
and isinstance(thing[0], basestring)
|
|
|
):
|
|
|
return thing[0]
|
|
|
return thing
|
|
|
|
|
|
|
|
|
def _uniq(container):
|
|
|
"""
|
|
|
Check if all of a container's elements are unique.
|
|
|
|
|
|
Successively tries first to rely that the elements are hashable, then
|
|
|
falls back on them being sortable, and finally falls back on brute
|
|
|
force.
|
|
|
|
|
|
"""
|
|
|
|
|
|
try:
|
|
|
return len(set(container)) == len(container)
|
|
|
except TypeError:
|
|
|
try:
|
|
|
sort = sorted(container)
|
|
|
sliced = itertools.islice(container, 1, None)
|
|
|
for i, j in zip(container, sliced):
|
|
|
if i == j:
|
|
|
return False
|
|
|
except (NotImplementedError, TypeError):
|
|
|
seen = []
|
|
|
for e in container:
|
|
|
if e in seen:
|
|
|
return False
|
|
|
seen.append(e)
|
|
|
return True
|
|
|
|
|
|
|
|
|
def validate(instance, schema, cls=Draft3Validator, *args, **kwargs):
|
|
|
"""
|
|
|
Validate an ``instance`` under the given ``schema``.
|
|
|
|
|
|
First verifies that the provided schema is itself valid, since not doing so
|
|
|
can lead to less obvious failures when validating. If you know it is or
|
|
|
don't care, use ``YourValidator(schema).validate(instance)`` directly
|
|
|
instead (e.g. ``Draft3Validator``).
|
|
|
|
|
|
``cls`` is a validator class that will be used to validate the instance.
|
|
|
By default this is a draft 3 validator. Any other provided positional and
|
|
|
keyword arguments will be provided to this class when constructing a
|
|
|
validator.
|
|
|
|
|
|
"""
|
|
|
|
|
|
|
|
|
meta_validate = kwargs.pop("meta_validate", None)
|
|
|
|
|
|
if meta_validate is not None:
|
|
|
warnings.warn(
|
|
|
"meta_validate is deprecated and will be removed. If you do not "
|
|
|
"want to validate a schema, use Draft3Validator.validate instead.",
|
|
|
DeprecationWarning, stacklevel=2,
|
|
|
)
|
|
|
|
|
|
if meta_validate is not False: # yes this is needed since True was default
|
|
|
cls.check_schema(schema)
|
|
|
cls(schema, *args, **kwargs).validate(instance)
|
|
|
|
