hyperion.ng/test/jsonchecks/jsonschema.py

1470 lines
45 KiB
Python

"""
An implementation of JSON Schema for Python
The main functionality is provided by the validator classes for each of the
supported JSON Schema versions.
Most commonly, :func:`validate` is the quickest way to simply validate a given
instance under a schema, and will create a validator for you.
"""
from __future__ import division, unicode_literals
import contextlib
import datetime
import itertools
import json
import numbers
import operator
import pprint
import re
import socket
import sys
import textwrap
try:
from collections import MutableMapping
except ImportError:
from collections.abc import MutableMapping
try:
import requests
except ImportError:
requests = None
__version__ = "1.3.0"
PY3 = sys.version_info[0] >= 3
if PY3:
from urllib import parse as urlparse
from urllib.parse import unquote
from urllib.request import urlopen
basestring = unicode = str
long = int
iteritems = operator.methodcaller("items")
else:
from itertools import izip as zip
from urllib import unquote
from urllib2 import urlopen
import urlparse
iteritems = operator.methodcaller("iteritems")
FLOAT_TOLERANCE = 10 ** -15
validators = {}
class _Unset(object):
"""
An as-of-yet unset attribute.
"""
def __repr__(self):
return "<unset>"
_unset = _Unset()
class _Error(Exception):
def __init__(
self, message, validator=_unset, path=(), cause=None, context=(),
validator_value=_unset, instance=_unset, schema=_unset, schema_path=(),
):
self.message = message
self.path = collections.deque(path)
self.schema_path = collections.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
@classmethod
def create_from(cls, other):
return cls(
message=other.message,
cause=other.cause,
context=other.context,
path=other.path,
schema_path=other.schema_path,
validator=other.validator,
validator_value=other.validator_value,
instance=other.instance,
schema=other.schema,
)
def _set(self, **kwargs):
for k, v in iteritems(kwargs):
if getattr(self, k) is _unset:
setattr(self, k, v)
def __repr__(self):
return "<%s: %r>" % (self.__class__.__name__, self.message)
def __str__(self):
return unicode(self).encode("utf-8")
def __unicode__(self):
if _unset in (
self.validator, self.validator_value, self.instance, self.schema,
):
return self.message
path = _format_as_index(self.path)
schema_path = _format_as_index(list(self.schema_path)[:-1])
pschema = pprint.pformat(self.schema, width=72)
pinstance = pprint.pformat(self.instance, width=72)
return self.message + textwrap.dedent("""
Failed validating %r in schema%s:
%s
On instance%s:
%s
""".rstrip()
) % (
self.validator,
schema_path,
_indent(pschema),
path,
_indent(pinstance),
)
if PY3:
__str__ = __unicode__
class FormatError(Exception):
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.encode("utf-8")
def __unicode__(self):
return self.message
if PY3:
__str__ = __unicode__
class SchemaError(_Error): pass
class ValidationError(_Error): pass
class RefResolutionError(Exception): pass
class UnknownType(Exception): pass
class _URIDict(MutableMapping):
"""
Dictionary which uses normalized URIs as keys.
"""
def normalize(self, uri):
return urlparse.urlsplit(uri).geturl()
def __init__(self, *args, **kwargs):
self.store = dict()
self.store.update(*args, **kwargs)
def __getitem__(self, uri):
return self.store[self.normalize(uri)]
def __setitem__(self, uri, value):
self.store[self.normalize(uri)] = value
def __delitem__(self, uri):
del self.store[self.normalize(uri)]
def __iter__(self):
return iter(self.store)
def __len__(self):
return len(self.store)
def __repr__(self):
return repr(self.store)
meta_schemas = _URIDict()
def validates(version):
"""
Register the decorated validator for a ``version`` of the specification.
Registered validators and their meta schemas will be considered when
parsing ``$schema`` properties' URIs.
:argument str version: an identifier to use as the version's name
:returns: a class decorator to decorate the validator with the version
"""
def _validates(cls):
validators[version] = cls
if "id" in cls.META_SCHEMA:
meta_schemas[cls.META_SCHEMA["id"]] = cls
return cls
return _validates
class ValidatorMixin(object):
"""
Concrete implementation of :class:`IValidator`.
Provides default implementations of each method. Validation of schema
properties is dispatched to ``validate_property`` methods. E.g., to
implement a validator for a ``maximum`` property, create a
``validate_maximum`` method. Validator methods should yield zero or more
:exc:`ValidationError``\s to signal failed validation.
"""
DEFAULT_TYPES = {
"array" : list, "boolean" : bool, "integer" : (int, long),
"null" : type(None), "number" : numbers.Number, "object" : dict,
"string" : basestring,
}
def __init__(self, schema, types=(), resolver=None, format_checker=None):
self._types = dict(self.DEFAULT_TYPES)
self._types.update(types)
if resolver is None:
resolver = RefResolver.from_schema(schema)
self.resolver = resolver
self.format_checker = format_checker
self.schema = schema
def is_type(self, instance, type):
if type not in self._types:
raise UnknownType(type)
pytypes = self._types[type]
# bool inherits from int, so ensure bools aren't reported as integers
if isinstance(instance, bool):
pytypes = _flatten(pytypes)
num = any(issubclass(pytype, numbers.Number) for pytype in pytypes)
if num and bool not in pytypes:
return False
return isinstance(instance, pytypes)
def is_valid(self, instance, _schema=None):
error = next(self.iter_errors(instance, _schema), None)
return error is None
@classmethod
def check_schema(cls, schema):
for error in cls(cls.META_SCHEMA).iter_errors(schema):
raise SchemaError.create_from(error)
def iter_errors(self, instance, _schema=None):
if _schema is None:
_schema = self.schema
with self.resolver.in_scope(_schema.get("id", "")):
ref = _schema.get("$ref")
if ref is not None:
validators = [("$ref", ref)]
else:
validators = iteritems(_schema)
for k, v in validators:
validator_attr = "validate_%s" % (k.lstrip("$"),)
validator = getattr(self, validator_attr, None)
if validator is None:
continue
errors = validator(v, instance, _schema) or ()
for error in errors:
# set details if they weren't already set by the called fn
error._set(
validator=k,
validator_value=v,
instance=instance,
schema=_schema,
)
if k != "$ref":
error.schema_path.appendleft(k)
yield error
def descend(self, instance, schema, path=None, schema_path=None):
for error in self.iter_errors(instance, schema):
if path is not None:
error.path.appendleft(path)
if schema_path is not None:
error.schema_path.appendleft(schema_path)
yield error
def validate(self, *args, **kwargs):
for error in self.iter_errors(*args, **kwargs):
raise error
class _Draft34CommonMixin(object):
"""
Contains the validator methods common to both JSON schema drafts.
"""
def validate_patternProperties(self, patternProperties, instance, schema):
if not self.is_type(instance, "object"):
return
for pattern, subschema in iteritems(patternProperties):
for k, v in iteritems(instance):
if re.search(pattern, k):
for error in self.descend(
v, subschema, path=k, schema_path=pattern
):
yield error
def validate_additionalProperties(self, aP, instance, schema):
if not self.is_type(instance, "object"):
return
extras = set(_find_additional_properties(instance, schema))
if self.is_type(aP, "object"):
for extra in extras:
for error in self.descend(instance[extra], aP, path=extra):
yield error
elif not aP and extras:
error = "Additional properties are not allowed (%s %s unexpected)"
yield ValidationError(error % _extras_msg(extras))
def validate_items(self, items, instance, schema):
if not self.is_type(instance, "array"):
return
if self.is_type(items, "object"):
for index, item in enumerate(instance):
for error in self.descend(item, items, path=index):
yield error
else:
for (index, item), subschema in zip(enumerate(instance), items):
for error in self.descend(
item, subschema, path=index, schema_path=index
):
yield error
def validate_additionalItems(self, aI, instance, schema):
if (
not self.is_type(instance, "array") or
self.is_type(schema.get("items", {}), "object")
):
return
if self.is_type(aI, "object"):
for index, item in enumerate(
instance[len(schema.get("items", [])):]):
for error in self.descend(item, aI, path=index):
yield error
elif not aI and len(instance) > len(schema.get("items", [])):
error = "Additional items are not allowed (%s %s unexpected)"
yield ValidationError(
error % _extras_msg(instance[len(schema.get("items", [])):])
)
def validate_minimum(self, minimum, instance, schema):
if not self.is_type(instance, "number"):
return
instance = float(instance)
if schema.get("exclusiveMinimum", False):
failed = instance <= minimum
cmp = "less than or equal to"
else:
failed = instance < minimum
cmp = "less than"
if failed:
yield ValidationError(
"%r is %s the minimum of %r" % (instance, cmp, minimum)
)
def validate_maximum(self, maximum, instance, schema):
if not self.is_type(instance, "number"):
return
instance = float(instance)
if schema.get("exclusiveMaximum", False):
failed = instance >= maximum
cmp = "greater than or equal to"
else:
failed = instance > maximum
cmp = "greater than"
if failed:
yield ValidationError(
"%r is %s the maximum of %r" % (instance, cmp, maximum)
)
def _validate_multipleOf(self, dB, instance, schema):
if not self.is_type(instance, "number"):
return
if isinstance(dB, float):
mod = instance % dB
failed = (mod > FLOAT_TOLERANCE) and (dB - mod) > FLOAT_TOLERANCE
else:
failed = instance % dB
if failed:
yield ValidationError(
"%r is not a multiple of %r" % (instance, dB)
)
def validate_minItems(self, mI, instance, schema):
if self.is_type(instance, "array") and len(instance) < mI:
yield ValidationError("%r is too short" % (instance,))
def validate_maxItems(self, mI, instance, schema):
if self.is_type(instance, "array") and len(instance) > mI:
yield ValidationError("%r is too long" % (instance,))
def validate_uniqueItems(self, uI, instance, schema):
if uI and self.is_type(instance, "array") and not _uniq(instance):
yield ValidationError("%r has non-unique elements" % instance)
def validate_pattern(self, patrn, instance, schema):
if self.is_type(instance, "string") and not re.search(patrn, instance):
yield ValidationError("%r does not match %r" % (instance, patrn))
def validate_format(self, format, instance, schema):
if (
self.format_checker is not None and
self.is_type(instance, "string")
):
try:
self.format_checker.check(instance, format)
except FormatError as error:
yield ValidationError(error.message, cause=error.cause)
def validate_minLength(self, mL, instance, schema):
if self.is_type(instance, "string") and len(instance) < mL:
yield ValidationError("%r is too short" % (instance,))
def validate_maxLength(self, mL, instance, schema):
if self.is_type(instance, "string") and len(instance) > mL:
yield ValidationError("%r is too long" % (instance,))
def validate_dependencies(self, dependencies, instance, schema):
if not self.is_type(instance, "object"):
return
for property, dependency in iteritems(dependencies):
if property not in instance:
continue
if self.is_type(dependency, "object"):
for error in self.descend(
instance, dependency, schema_path=property
):
yield error
else:
dependencies = _list(dependency)
for depend in dependencies:
if depend not in instance:
yield ValidationError(
"%r is a dependency of %r" % (depend, property)
)
def validate_enum(self, enums, instance, schema):
if instance not in enums:
yield ValidationError("%r is not one of %r" % (instance, enums))
def validate_ref(self, ref, instance, schema):
with self.resolver.resolving(ref) as resolved:
for error in self.descend(instance, resolved):
yield error
@validates("draft3")
class Draft3Validator(ValidatorMixin, _Draft34CommonMixin, object):
"""
A validator for JSON Schema draft 3.
"""
def validate_type(self, types, instance, schema):
types = _list(types)
all_errors = []
for index, type in enumerate(types):
if type == "any":
return
if self.is_type(type, "object"):
errors = list(self.descend(instance, type, schema_path=index))
if not errors:
return
all_errors.extend(errors)
elif self.is_type(type, "string"):
if self.is_type(instance, type):
return
else:
yield ValidationError(
_types_msg(instance, types), context=all_errors,
)
def validate_properties(self, properties, instance, schema):
if not self.is_type(instance, "object"):
return
for property, subschema in iteritems(properties):
if property in instance:
for error in self.descend(
instance[property],
subschema,
path=property,
schema_path=property,
):
yield error
elif subschema.get("required", False):
error = ValidationError("%r is a required property" % property)
error._set(
validator="required",
validator_value=subschema["required"],
instance=instance,
schema=schema,
)
error.path.appendleft(property)
error.schema_path.extend([property, "required"])
yield error
def validate_disallow(self, disallow, instance, schema):
for disallowed in _list(disallow):
if self.is_valid(instance, {"type" : [disallowed]}):
yield ValidationError(
"%r is disallowed for %r" % (disallowed, instance)
)
def validate_extends(self, extends, instance, schema):
if self.is_type(extends, "object"):
for error in self.descend(instance, extends):
yield error
return
for index, subschema in enumerate(extends):
for error in self.descend(instance, subschema, schema_path=index):
yield error
validate_divisibleBy = _Draft34CommonMixin._validate_multipleOf
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"
},
}
@validates("draft4")
class Draft4Validator(ValidatorMixin, _Draft34CommonMixin, object):
"""
A validator for JSON Schema draft 4.
"""
def validate_type(self, types, instance, schema):
types = _list(types)
if not any(self.is_type(instance, type) for type in types):
yield ValidationError(_types_msg(instance, types))
def validate_properties(self, properties, instance, schema):
if not self.is_type(instance, "object"):
return
for property, subschema in iteritems(properties):
if property in instance:
for error in self.descend(
instance[property],
subschema,
path=property,
schema_path=property,
):
yield error
def validate_required(self, required, instance, schema):
if not self.is_type(instance, "object"):
return
for property in required:
if property not in instance:
yield ValidationError("%r is a required property" % property)
def validate_minProperties(self, mP, instance, schema):
if self.is_type(instance, "object") and len(instance) < mP:
yield ValidationError("%r is too short" % (instance,))
def validate_maxProperties(self, mP, instance, schema):
if not self.is_type(instance, "object"):
return
if self.is_type(instance, "object") and len(instance) > mP:
yield ValidationError("%r is too short" % (instance,))
def validate_allOf(self, allOf, instance, schema):
for index, subschema in enumerate(allOf):
for error in self.descend(instance, subschema, schema_path=index):
yield error
def validate_oneOf(self, oneOf, instance, schema):
first_valid = ""
subschemas = enumerate(oneOf)
all_errors = []
for index, subschema in subschemas:
errors = list(self.descend(instance, subschema, schema_path=index))
if not errors:
first_valid = subschema
break
all_errors.extend(errors)
else:
yield ValidationError(
"%r is not valid under any of the given schemas" % (instance,),
context=all_errors,
)
more_valid = [s for i, s in subschemas if self.is_valid(instance, s)]
if more_valid:
more_valid.append(first_valid)
reprs = ", ".join(repr(schema) for schema in more_valid)
yield ValidationError(
"%r is valid under each of %s" % (instance, reprs)
)
def validate_anyOf(self, anyOf, instance, schema):
all_errors = []
for index, subschema in enumerate(anyOf):
errors = list(self.descend(instance, subschema, schema_path=index))
if not errors:
break
all_errors.extend(errors)
else:
yield ValidationError(
"%r is not valid under any of the given schemas" % (instance,),
context=all_errors,
)
def validate_not(self, not_schema, instance, schema):
if self.is_valid(instance, not_schema):
yield ValidationError(
"%r is not allowed for %r" % (not_schema, instance)
)
validate_multipleOf = _Draft34CommonMixin._validate_multipleOf
META_SCHEMA = {
"id": "http://json-schema.org/draft-04/schema#",
"$schema": "http://json-schema.org/draft-04/schema#",
"description": "Core schema meta-schema",
"definitions": {
"schemaArray": {
"type": "array",
"minItems": 1,
"items": {"$ref": "#"}
},
"positiveInteger": {
"type": "integer",
"minimum": 0
},
"positiveIntegerDefault0": {
"allOf": [
{"$ref": "#/definitions/positiveInteger"}, {"default": 0}
]
},
"simpleTypes": {
"enum": [
"array",
"boolean",
"integer",
"null",
"number",
"object",
"string",
]
},
"stringArray": {
"type": "array",
"items": {"type": "string"},
"minItems": 1,
"uniqueItems": True
}
},
"type": "object",
"properties": {
"id": {
"type": "string",
"format": "uri"
},
"$schema": {
"type": "string",
"format": "uri"
},
"title": {
"type": "string"
},
"description": {
"type": "string"
},
"default": {},
"multipleOf": {
"type": "number",
"minimum": 0,
"exclusiveMinimum": True
},
"maximum": {
"type": "number"
},
"exclusiveMaximum": {
"type": "boolean",
"default": False
},
"minimum": {
"type": "number"
},
"exclusiveMinimum": {
"type": "boolean",
"default": False
},
"maxLength": {"$ref": "#/definitions/positiveInteger"},
"minLength": {"$ref": "#/definitions/positiveIntegerDefault0"},
"pattern": {
"type": "string",
"format": "regex"
},
"additionalItems": {
"anyOf": [
{"type": "boolean"},
{"$ref": "#"}
],
"default": {}
},
"items": {
"anyOf": [
{"$ref": "#"},
{"$ref": "#/definitions/schemaArray"}
],
"default": {}
},
"maxItems": {"$ref": "#/definitions/positiveInteger"},
"minItems": {"$ref": "#/definitions/positiveIntegerDefault0"},
"uniqueItems": {
"type": "boolean",
"default": False
},
"maxProperties": {"$ref": "#/definitions/positiveInteger"},
"minProperties": {"$ref": "#/definitions/positiveIntegerDefault0"},
"required": {"$ref": "#/definitions/stringArray"},
"additionalProperties": {
"anyOf": [
{"type": "boolean"},
{"$ref": "#"}
],
"default": {}
},
"definitions": {
"type": "object",
"additionalProperties": {"$ref": "#"},
"default": {}
},
"properties": {
"type": "object",
"additionalProperties": {"$ref": "#"},
"default": {}
},
"patternProperties": {
"type": "object",
"additionalProperties": {"$ref": "#"},
"default": {}
},
"dependencies": {
"type": "object",
"additionalProperties": {
"anyOf": [
{"$ref": "#"},
{"$ref": "#/definitions/stringArray"}
]
}
},
"enum": {
"type": "array",
"minItems": 1,
"uniqueItems": True
},
"type": {
"anyOf": [
{"$ref": "#/definitions/simpleTypes"},
{
"type": "array",
"items": {"$ref": "#/definitions/simpleTypes"},
"minItems": 1,
"uniqueItems": True
}
]
},
"allOf": {"$ref": "#/definitions/schemaArray"},
"anyOf": {"$ref": "#/definitions/schemaArray"},
"oneOf": {"$ref": "#/definitions/schemaArray"},
"not": {"$ref": "#"}
},
"dependencies": {
"exclusiveMaximum": ["maximum"],
"exclusiveMinimum": ["minimum"]
},
"default": {}
}
class FormatChecker(object):
"""
A ``format`` property checker.
JSON Schema does not mandate that the ``format`` property actually do any
validation. If validation is desired however, instances of this class can
be hooked into validators to enable format validation.
:class:`FormatChecker` objects always return ``True`` when asked about
formats that they do not know how to validate.
To check a custom format using a function that takes an instance and
returns a ``bool``, use the :meth:`FormatChecker.checks` or
:meth:`FormatChecker.cls_checks` decorators.
:argument iterable formats: the known formats to validate. This argument
can be used to limit which formats will be used
during validation.
>>> checker = FormatChecker(formats=("date-time", "regex"))
"""
checkers = {}
def __init__(self, formats=None):
if formats is None:
self.checkers = self.checkers.copy()
else:
self.checkers = dict((k, self.checkers[k]) for k in formats)
def checks(self, format, raises=()):
"""
Register a decorated function as validating a new format.
:argument str format: the format that the decorated function will check
:argument Exception raises: the exception(s) raised by the decorated
function when an invalid instance is found. The exception object
will be accessible as the :attr:`ValidationError.cause` attribute
of the resulting validation error.
"""
def _checks(func):
self.checkers[format] = (func, raises)
return func
return _checks
cls_checks = classmethod(checks)
def check(self, instance, format):
"""
Check whether the instance conforms to the given format.
:argument instance: the instance to check
:type: any primitive type (str, number, bool)
:argument str format: the format that instance should conform to
:raises: :exc:`FormatError` if instance does not conform to format
"""
if format in self.checkers:
func, raises = self.checkers[format]
result, cause = None, None
try:
result = func(instance)
except raises as e:
cause = e
if not result:
raise FormatError(
"%r is not a %r" % (instance, format), cause=cause,
)
def conforms(self, instance, format):
"""
Check whether the instance conforms to the given format.
:argument instance: the instance to check
:type: any primitive type (str, number, bool)
:argument str format: the format that instance should conform to
:rtype: bool
"""
try:
self.check(instance, format)
except FormatError:
return False
else:
return True
_draft_checkers = {"draft3": [], "draft4": []}
def _checks_drafts(both=None, draft3=None, draft4=None, raises=()):
draft3 = draft3 or both
draft4 = draft4 or both
def wrap(func):
if draft3:
_draft_checkers["draft3"].append(draft3)
func = FormatChecker.cls_checks(draft3, raises)(func)
if draft4:
_draft_checkers["draft4"].append(draft4)
func = FormatChecker.cls_checks(draft4, raises)(func)
return func
return wrap
@_checks_drafts("email")
def is_email(instance):
return "@" in instance
_checks_drafts(draft3="ip-address", draft4="ipv4", raises=socket.error)(
socket.inet_aton
)
if hasattr(socket, "inet_pton"):
@_checks_drafts("ipv6", raises=socket.error)
def is_ipv6(instance):
return socket.inet_pton(socket.AF_INET6, instance)
@_checks_drafts(draft3="host-name", draft4="hostname")
def is_host_name(instance):
pattern = "^[A-Za-z0-9][A-Za-z0-9\.\-]{1,255}$"
if not re.match(pattern, instance):
return False
components = instance.split(".")
for component in components:
if len(component) > 63:
return False
return True
try:
import rfc3987
except ImportError:
pass
else:
@_checks_drafts("uri", raises=ValueError)
def is_uri(instance):
return rfc3987.parse(instance, rule="URI_reference")
try:
import isodate
except ImportError:
pass
else:
_err = (ValueError, isodate.ISO8601Error)
_checks_drafts("date-time", raises=_err)(isodate.parse_datetime)
_checks_drafts("regex", raises=re.error)(re.compile)
@_checks_drafts(draft3="date", raises=ValueError)
def is_date(instance):
return datetime.datetime.strptime(instance, "%Y-%m-%d")
@_checks_drafts(draft3="time", raises=ValueError)
def is_time(instance):
return datetime.datetime.strptime(instance, "%H:%M:%S")
try:
import webcolors
except ImportError:
pass
else:
def is_css_color_code(instance):
return webcolors.normalize_hex(instance)
@_checks_drafts(draft3="color", raises=(ValueError, TypeError))
def is_css21_color(instance):
if instance.lower() in webcolors.css21_names_to_hex:
return True
return is_css_color_code(instance)
def is_css3_color(instance):
if instance.lower() in webcolors.css3_names_to_hex:
return True
return is_css_color_code(instance)
draft3_format_checker = FormatChecker(_draft_checkers["draft3"])
draft4_format_checker = FormatChecker(_draft_checkers["draft4"])
class RefResolver(object):
"""
Resolve JSON References.
:argument str base_uri: URI of the referring document
:argument referrer: the actual referring document
:argument dict store: a mapping from URIs to documents to cache
:argument bool cache_remote: whether remote refs should be cached after
first resolution
:argument dict handlers: a mapping from URI schemes to functions that
should be used to retrieve them
"""
def __init__(
self, base_uri, referrer, store=(), cache_remote=True, handlers=(),
):
self.base_uri = base_uri
self.resolution_scope = base_uri
self.referrer = referrer
self.cache_remote = cache_remote
self.handlers = dict(handlers)
self.store = _URIDict(
(id, validator.META_SCHEMA)
for id, validator in iteritems(meta_schemas)
)
self.store.update(store)
@classmethod
def from_schema(cls, schema, *args, **kwargs):
"""
Construct a resolver from a JSON schema object.
:argument schema schema: the referring schema
:rtype: :class:`RefResolver`
"""
return cls(schema.get("id", ""), schema, *args, **kwargs)
@contextlib.contextmanager
def in_scope(self, scope):
old_scope = self.resolution_scope
self.resolution_scope = urlparse.urljoin(old_scope, scope)
try:
yield
finally:
self.resolution_scope = old_scope
@contextlib.contextmanager
def resolving(self, ref):
"""
Context manager which resolves a JSON ``ref`` and enters the
resolution scope of this ref.
:argument str ref: reference to resolve
"""
full_uri = urlparse.urljoin(self.resolution_scope, ref)
uri, fragment = urlparse.urldefrag(full_uri)
if uri in self.store:
document = self.store[uri]
elif not uri or uri == self.base_uri:
document = self.referrer
else:
try:
document = self.resolve_remote(uri)
except Exception as exc:
raise RefResolutionError(exc)
old_base_uri, old_referrer = self.base_uri, self.referrer
self.base_uri, self.referrer = uri, document
try:
with self.in_scope(uri):
yield self.resolve_fragment(document, fragment)
finally:
self.base_uri, self.referrer = old_base_uri, old_referrer
def resolve_fragment(self, document, fragment):
"""
Resolve a ``fragment`` within the referenced ``document``.
:argument document: the referrant document
:argument str fragment: a URI fragment to resolve within it
"""
fragment = fragment.lstrip("/")
parts = unquote(fragment).split("/") if fragment else []
for part in parts:
part = part.replace("~1", "/").replace("~0", "~")
if part not in document:
raise RefResolutionError(
"Unresolvable JSON pointer: %r" % fragment
)
document = document[part]
return document
def resolve_remote(self, uri):
"""
Resolve a remote ``uri``.
Does not check the store first, but stores the retrieved document in
the store if :attr:`RefResolver.cache_remote` is True.
.. note::
If the requests_ library is present, ``jsonschema`` will use it to
request the remote ``uri``, so that the correct encoding is
detected and used.
If it isn't, or if the scheme of the ``uri`` is not ``http`` or
``https``, UTF-8 is assumed.
:argument str uri: the URI to resolve
:returns: the retrieved document
.. _requests: http://pypi.python.org/pypi/requests/
"""
scheme = urlparse.urlsplit(uri).scheme
if scheme in self.handlers:
result = self.handlers[scheme](uri)
elif (
scheme in ["http", "https"] and
requests and
getattr(requests.Response, "json", None) is not None
):
# Requests has support for detecting the correct encoding of
# json over http
if callable(requests.Response.json):
result = requests.get(uri).json()
else:
result = requests.get(uri).json
else:
# Otherwise, pass off to urllib and assume utf-8
result = json.loads(urlopen(uri).read().decode("utf-8"))
if self.cache_remote:
self.store[uri] = result
return result
class ErrorTree(object):
"""
ErrorTrees make it easier to check which validations failed.
"""
_instance = _unset
def __init__(self, errors=()):
self.errors = {}
self._contents = collections.defaultdict(self.__class__)
for error in errors:
container = self
for element in error.path:
container = container[element]
container.errors[error.validator] = error
self._instance = error.instance
def __contains__(self, k):
return k in self._contents
def __getitem__(self, k):
"""
Retrieve the child tree with key ``k``.
If the key 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 :class:`LookupError`.
"""
if self._instance is not _unset and k not in self:
self._instance[k]
return self._contents[k]
def __setitem__(self, k, v):
self._contents[k] = v
def __iter__(self):
return iter(self._contents)
def __len__(self):
return self.total_errors
def __repr__(self):
return "<%s (%s total errors)>" % (self.__class__.__name__, len(self))
@property
def total_errors(self):
"""
The total number of errors in the entire tree, including children.
"""
child_errors = sum(len(tree) for _, tree in iteritems(self._contents))
return len(self.errors) + child_errors
def _indent(string, times=1):
"""
A dumb version of :func:`textwrap.indent` from Python 3.3.
"""
return "\n".join(" " * (4 * times) + line for line in string.splitlines())
def _format_as_index(indices):
"""
Construct a single string containing indexing operations for the indices.
For example, [1, 2, "foo"] -> [1][2]["foo"]
:type indices: sequence
"""
if not indices:
return ""
return "[%s]" % "][".join(repr(index) for index in indices)
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 _unbool(element, true=object(), false=object()):
"""
A hack to make True and 1 and False and 0 unique for _uniq.
"""
if element is True:
return true
elif element is False:
return false
return element
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(_unbool(i) for i in container)) == len(container)
except TypeError:
try:
sort = sorted(_unbool(i) for i in container)
sliced = itertools.islice(sort, 1, None)
for i, j in zip(sort, sliced):
if i == j:
return False
except (NotImplementedError, TypeError):
seen = []
for e in container:
e = _unbool(e)
if e in seen:
return False
seen.append(e)
return True
def validate(instance, schema, cls=None, *args, **kwargs):
if cls is None:
cls = meta_schemas.get(schema.get("$schema", ""), Draft4Validator)
cls.check_schema(schema)
cls(schema, *args, **kwargs).validate(instance)