def test_validates_registers_meta_schema_draft6_id(self):
meta_schema_key = "meta schema $id"
my_meta_schema = {u"$id": meta_schema_key}
validators.create(
meta_schema=my_meta_schema,
version="my version",
)
self.assertIn(meta_schema_key, validators.meta_schemas)
def test_validates_registers_meta_schema_id(self):
meta_schema_key = "meta schema id"
my_meta_schema = {u"id": meta_schema_key}
validators.create(
meta_schema=my_meta_schema,
version="my version",
id_of=lambda s: s.get("id", ""),
)
self.assertIn(meta_schema_key, validators.meta_schemas)
def test_providing_default_types_with_type_checker_errors(self):
with self.assertRaises(TypeError) as e:
validators.create(
meta_schema={},
validators={},
default_types={"foo": object},
type_checker=TypeChecker(),
)
self.assertIn(
"Do not specify default_types when providing a type checker",
str(e.exception),
)
self.assertFalse(self.flushWarnings())
def test_providing_default_types_with_type_checker_errors(self):
with self.assertRaises(TypeError) as e:
validators.create(
meta_schema={},
validators={},
default_types={"foo": object},
type_checker=TypeChecker(),
)
self.assertIn(
"Do not specify default_types when providing a type checker",
str(e.exception),
)
self.assertFalse(self.flushWarnings())
def get_jsonschema_validator():
"""Get metaschema validator and format checker
Older versions of jsonschema require some compatibility changes.
@returns: Tuple: (jsonschema.Validator, FormatChecker)
@raises: ImportError when jsonschema is not present
"""
from jsonschema import Draft4Validator, FormatChecker
from jsonschema.validators import create
# Allow for bytes to be presented as an acceptable valid value for string
# type jsonschema attributes in cloud-init's schema.
# This allows #cloud-config to provide valid yaml "content: !!binary | ..."
strict_metaschema = deepcopy(Draft4Validator.META_SCHEMA)
strict_metaschema["additionalProperties"] = False
# This additional label allows us to specify a different name
# than the property key when generating docs.
# This is especially useful when using a "patternProperties" regex,
# otherwise the property label in the generated docs will be a
# regular expression.
# http://json-schema.org/understanding-json-schema/reference/object.html#pattern-properties
strict_metaschema["properties"]["label"] = {"type": "string"}
if hasattr(Draft4Validator, "TYPE_CHECKER"): # jsonschema 3.0+
type_checker = Draft4Validator.TYPE_CHECKER.redefine(
"string", is_schema_byte_string
)
cloudinitValidator = create(
meta_schema=strict_metaschema,
validators=Draft4Validator.VALIDATORS,
version="draft4",
type_checker=type_checker,
)
else: # jsonschema 2.6 workaround
types = Draft4Validator.DEFAULT_TYPES # pylint: disable=E1101
# Allow bytes as well as string (and disable a spurious unsupported
# assignment-operation pylint warning which appears because this
# code path isn't written against the latest jsonschema).
types["string"] = (str, bytes) # pylint: disable=E1137
cloudinitValidator = create( # pylint: disable=E1123
meta_schema=strict_metaschema,
validators=Draft4Validator.VALIDATORS,
version="draft4",
default_types=types,
)
return (cloudinitValidator, FormatChecker)
def check_schema(schema):
"""
Check a given schema to make sure it is valid YAML schema.
"""
# We also want to validate the "default" values in the schema
# against the schema itself. jsonschema as a library doesn't do
# this on its own.
def validate_default(validator, default, instance, schema):
if not validator.is_type(instance, "object"):
return
if "default" in instance:
with instance_validator.resolver.in_scope(scope):
for err in instance_validator.iter_errors(instance["default"], instance):
yield err
VALIDATORS = util.HashableDict(mvalidators.Draft4Validator.VALIDATORS.copy())
VALIDATORS.update({"default": validate_default})
meta_schema = load_schema(YAML_SCHEMA_METASCHEMA_ID, mresolver.default_url_mapping)
resolver = _make_resolver(mresolver.default_url_mapping)
cls = mvalidators.create(meta_schema=meta_schema, validators=VALIDATORS)
validator = cls(meta_schema, resolver=resolver)
instance_validator = mvalidators.Draft4Validator(schema, resolver=resolver)
scope = schema.get("id", "")
validator.validate(schema, _schema=meta_schema)
def create_validator():
global _created_validator
if _created_validator:
return
validator = validators.create(
meta_schema=load_schema(
'http://stsci.edu/schemas/yaml-schema/draft-01',
mresolver.UrlMapping()),
validators=YAML_VALIDATORS,
version=str('yaml schema draft 1'))
validator.orig_iter_errors = validator.iter_errors
# We can't validate anything that looks like an external
# reference, since we don't have the actual content, so we
# just have to defer it for now. If the user cares about
# complete validation, they can call
# `AsdfFile.resolve_references`.
def iter_errors(self, instance, _schema=None):
if ((isinstance(instance, dict) and '$ref' in instance) or
isinstance(instance, reference.Reference)):
return
for x in self.orig_iter_errors(instance, _schema=_schema):
yield x
validator.iter_errors = iter_errors
_created_validator = True
def setUp(self):
all_validators = dict(validators.Draft7Validator.VALIDATORS)
all_validators['async_valid'] = async_validator
self.validator = validators.create(
meta_schema=validators.Draft7Validator.META_SCHEMA,
validators=all_validators,
)({})
def create_validator():
global _created_validator
if _created_validator:
return
validator = validators.create(meta_schema=load_schema(
'http://stsci.edu/schemas/yaml-schema/draft-01',
mresolver.UrlMapping()),
validators=YAML_VALIDATORS,
version=str('yaml schema draft 1'))
validator.orig_iter_errors = validator.iter_errors
# We can't validate anything that looks like an external
# reference, since we don't have the actual content, so we
# just have to defer it for now. If the user cares about
# complete validation, they can call
# `AsdfFile.resolve_references`.
def iter_errors(self, instance, _schema=None):
if ((isinstance(instance, dict) and '$ref' in instance)
or isinstance(instance, reference.Reference)):
return
for x in self.orig_iter_errors(instance, _schema=_schema):
yield x
validator.iter_errors = iter_errors
_created_validator = True
def check_schema(schema):
"""
Check a given schema to make sure it is valid YAML schema.
"""
# We also want to validate the "default" values in the schema
# against the schema itself. jsonschema as a library doesn't do
# this on its own.
def validate_default(validator, default, instance, schema):
if not validator.is_type(instance, 'object'):
return
if 'default' in instance:
with instance_validator.resolver.in_scope(scope):
for err in instance_validator.iter_errors(
instance['default'], instance):
yield err
VALIDATORS = util.HashableDict(
mvalidators.Draft4Validator.VALIDATORS.copy())
VALIDATORS.update({'default': validate_default})
meta_schema = load_schema(YAML_SCHEMA_METASCHEMA_ID,
mresolver.default_resolver)
resolver = _make_resolver(mresolver.default_resolver)
cls = mvalidators.create(meta_schema=meta_schema, validators=VALIDATORS)
validator = cls(meta_schema, resolver=resolver)
instance_validator = mvalidators.Draft4Validator(schema, resolver=resolver)
scope = schema.get('id', '')
validator.validate(schema, _schema=meta_schema)
def _create_validator():
global _validator
if _validator is not None:
return _validator
validator = validators.create(
meta_schema=load_schema(
'http://stsci.edu/schemas/yaml-schema/draft-01',
mresolver.default_url_mapping),
validators=YAML_VALIDATORS)
validator.orig_iter_errors = validator.iter_errors
# We can't validate anything that looks like an external
# reference, since we don't have the actual content, so we
# just have to defer it for now. If the user cares about
# complete validation, they can call
# `AsdfFile.resolve_references`.
def iter_errors(self, instance, _schema=None, _seen=set()):
if id(instance) in _seen:
return
if _schema is None:
schema = self.schema
else:
schema = _schema
if ((isinstance(instance, dict) and '$ref' in instance) or
isinstance(instance, reference.Reference)):
return
if _schema is None:
tag = tagged.get_tag(instance)
if tag is not None:
schema_path = self.ctx.tag_to_schema_resolver(tag)
if schema_path != tag:
s = load_schema(schema_path, self.ctx.url_mapping)
if s:
with self.resolver.in_scope(schema_path):
for x in self.orig_iter_errors(instance, s):
yield x
if isinstance(instance, dict):
new_seen = _seen | set([id(instance)])
for val in six.itervalues(instance):
for x in self.iter_errors(val, _seen=new_seen):
yield x
elif isinstance(instance, list):
new_seen = _seen | set([id(instance)])
for val in instance:
for x in self.iter_errors(val, _seen=new_seen):
yield x
else:
for x in self.orig_iter_errors(instance, _schema=schema):
yield x
validator.iter_errors = iter_errors
_validator = validator
return validator
def test_if_a_version_is_provided_it_is_registered(self):
Validator = validators.create(
meta_schema={u"$id": "something"},
version="my version",
)
self.addCleanup(validators.meta_schemas.pop, "something")
self.assertEqual(Validator.__name__, "MyVersionValidator")
def validate_homology_inputs(cromwell_inputs):
with pkg_resources.path("validation", "homology.schema.json") as schema_file:
with open(schema_file, 'r') as schema:
schema = json.load(schema)
all_validators = dict(Draft7Validator.VALIDATORS)
reat_validator = validators.create(meta_schema=schema, validators=all_validators)
reat_validator(schema).validate(cromwell_inputs)
def validate(data, schema):
from jsonschema import RefResolver, validators, FormatChecker, Draft4Validator
from urllib.parse import urljoin
from snakemake.io import _load_configfile
schemafile = schema
schema = _load_configfile(schema, filetype="Schema")
resolver = RefResolver(
urljoin('file:', schemafile),
schema,
handlers={
'file': lambda uri: _load_configfile(re.sub("^file://", "", uri))
})
format_checker = FormatChecker()
def path_exists(validator, properties, instance, schema):
if properties and not Path(instance).expanduser().exists():
yield jsonschema.exceptions.ValidationError(
"{} does not exist".format(instance))
@format_checker.checks('file')
def check_filepath(value):
path = Path(value)
return path.is_file() if path.exists() else True
@format_checker.checks('directory')
def check_directory(value):
path = Path(value)
return path.is_dir() if path.exists() else True
all_validators = dict(Draft4Validator.VALIDATORS)
all_validators['must_exist'] = path_exists
Validator = validators.create(meta_schema=Draft4Validator.META_SCHEMA,
validators=all_validators)
validator = Validator(schema,
resolver=resolver,
format_checker=format_checker)
errors = []
if not isinstance(data, dict):
for row in data.to_dict('records'):
print(row)
for ve in validator.iter_errors(row):
key = ve.relative_path.pop() if len(
ve.relative_path) > 0 else None
errors.append(MarsValidationError(ve.instance, key,
ve.message))
else:
for ve in validator.iter_errors(data):
key = ve.relative_path.pop() if len(ve.relative_path) > 0 else None
errors.append(MarsValidationError(ve.instance, key, ve.message))
return errors
def _create_validator(validators=YAML_VALIDATORS):
meta_schema = load_schema(YAML_SCHEMA_METASCHEMA_ID, default_ext_resolver)
base_cls = mvalidators.create(meta_schema=meta_schema, validators=validators)
class ASDFValidator(base_cls):
DEFAULT_TYPES = base_cls.DEFAULT_TYPES.copy()
DEFAULT_TYPES['array'] = (list, tuple)
def iter_errors(self, instance, _schema=None, _seen=set()):
# We can't validate anything that looks like an external reference,
# since we don't have the actual content, so we just have to defer
# it for now. If the user cares about complete validation, they
# can call `AsdfFile.resolve_references`.
if id(instance) in _seen:
return
if _schema is None:
schema = self.schema
else:
schema = _schema
if ((isinstance(instance, dict) and '$ref' in instance) or
isinstance(instance, reference.Reference)):
return
if _schema is None:
tag = getattr(instance, '_tag', None)
if tag is not None:
schema_path = self.ctx.resolver(tag)
if schema_path != tag:
try:
s = load_schema(schema_path, self.ctx.resolver)
except FileNotFoundError:
msg = "Unable to locate schema file for '{}': '{}'"
warnings.warn(msg.format(tag, schema_path))
s = {}
if s:
with self.resolver.in_scope(schema_path):
for x in super(ASDFValidator, self).iter_errors(instance, s):
yield x
if isinstance(instance, dict):
new_seen = _seen | set([id(instance)])
for val in instance.values():
for x in self.iter_errors(val, _seen=new_seen):
yield x
elif isinstance(instance, list):
new_seen = _seen | set([id(instance)])
for val in instance:
for x in self.iter_errors(val, _seen=new_seen):
yield x
else:
for x in super(ASDFValidator, self).iter_errors(instance, _schema=schema):
yield x
return ASDFValidator
def test_if_a_version_is_provided_it_is_registered(self):
with mock.patch("jsonschema.validators.validates") as validates:
validates.side_effect = lambda version: lambda cls: cls
Validator = validators.create(
meta_schema={u"id": ""},
version="my version",
)
validates.assert_called_once_with("my version")
self.assertEqual(Validator.__name__, "MyVersionValidator")
def test_if_a_version_is_provided_it_is_registered(self):
with mock.patch("jsonschema.validators.validates") as validates:
validates.side_effect = lambda version: lambda cls: cls
Validator = validators.create(
meta_schema={u"id": ""},
version="my version",
)
validates.assert_called_once_with("my version")
self.assertEqual(Validator.__name__, "MyVersionValidator")
def _create_validator(validators=YAML_VALIDATORS):
meta_schema = load_schema(YAML_SCHEMA_METASCHEMA_ID,
mresolver.default_resolver)
base_cls = mvalidators.create(meta_schema=meta_schema,
validators=validators)
class ASDFValidator(base_cls):
DEFAULT_TYPES = base_cls.DEFAULT_TYPES.copy()
DEFAULT_TYPES['array'] = (list, tuple)
def iter_errors(self, instance, _schema=None, _seen=set()):
# We can't validate anything that looks like an external reference,
# since we don't have the actual content, so we just have to defer
# it for now. If the user cares about complete validation, they
# can call `AsdfFile.resolve_references`.
if id(instance) in _seen:
return
if _schema is None:
schema = self.schema
else:
schema = _schema
if ((isinstance(instance, dict) and '$ref' in instance)
or isinstance(instance, reference.Reference)):
return
if _schema is None:
tag = getattr(instance, '_tag', None)
if tag is not None:
schema_path = self.ctx.resolver(tag)
if schema_path != tag:
s = load_schema(schema_path, self.ctx.resolver)
if s:
with self.resolver.in_scope(schema_path):
for x in super(ASDFValidator,
self).iter_errors(instance, s):
yield x
if isinstance(instance, dict):
new_seen = _seen | set([id(instance)])
for val in instance.values():
for x in self.iter_errors(val, _seen=new_seen):
yield x
elif isinstance(instance, list):
new_seen = _seen | set([id(instance)])
for val in instance:
for x in self.iter_errors(val, _seen=new_seen):
yield x
else:
for x in super(ASDFValidator,
self).iter_errors(instance, _schema=schema):
yield x
return ASDFValidator
def test_providing_explicit_type_checker_does_not_warn(self):
Validator = validators.create(
meta_schema={},
validators={},
type_checker=TypeChecker(),
)
self.assertFalse(self.flushWarnings())
Validator({})
self.assertFalse(self.flushWarnings())
def test_providing_explicit_type_checker_does_not_warn(self):
Validator = validators.create(
meta_schema={},
validators={},
type_checker=TypeChecker(),
)
self.assertFalse(self.flushWarnings())
Validator({})
self.assertFalse(self.flushWarnings())
def validate_transcriptome_inputs(cromwell_inputs):
with pkg_resources.path("validation",
"transcriptome.schema.json") as schema_file:
with open(schema_file, 'r') as schema:
reat_schema = json.load(schema)
all_validators = dict(Draft7Validator.VALIDATORS)
all_validators["is_name"] = is_valid_name
reat_validator = validators.create(meta_schema=reat_schema,
validators=all_validators)
reat_validator(reat_schema).validate(cromwell_inputs)
def setUp(self):
self.meta_schema = {u"properties": {u"smelly": {}}}
self.smelly = mock.MagicMock()
self.validators = {u"smelly": self.smelly}
self.types = {u"dict": dict}
self.Validator = create(meta_schema=self.meta_schema, validators=self.validators, default_types=self.types)
self.validator_value = 12
self.schema = {u"smelly": self.validator_value}
self.validator = self.Validator(self.schema)
def test_custom_validator(self):
Validator = validators.create(
meta_schema={"id": "meta schema id"},
version="12",
)
schema = {"$schema": "meta schema id"}
self.assertIs(
validators.validator_for(schema),
Validator,
)
def test_custom_validator_draft6(self):
Validator = validators.create(
meta_schema={"$id": "meta schema $id"},
version="13",
)
schema = {"$schema": "meta schema $id"}
self.assertIs(
validators.validator_for(schema),
Validator,
)
def test_default_types_update_type_checker(self):
Validator = validators.create(meta_schema=self.meta_schema,
validators=self.validators,
default_types={u"array": list})
self.assertEqual(set(Validator.DEFAULT_TYPES), {u"array"})
Extended = validators.extend(
Validator, type_checker=Validator.TYPE_CHECKER.remove(u"array"))
self.assertEqual(set(Extended.DEFAULT_TYPES), {})
def test_custom_validator(self):
Validator = validators.create(
meta_schema={"id": "meta schema id"},
version="12",
id_of=lambda s: s.get("id", ""),
)
schema = {"$schema": "meta schema id"}
self.assertIs(
validators.validator_for(schema),
Validator,
)
def validator(self):
def is_unique(validator, value, instance, schema):
if is_exists(self.store, key=value, value=instance):
yield ValidationError(f"`{value}` `{instance}` already exists")
all_validators = dict(Draft4Validator.VALIDATORS)
all_validators["is_unique"] = is_unique
MyValidator = validators.create(
meta_schema=Draft4Validator.META_SCHEMA, validators=all_validators)
return MyValidator(self.schema)
def _create_validator(_validators=YAML_VALIDATORS):
validator = validators.create(meta_schema=load_schema(
'http://stsci.edu/schemas/yaml-schema/draft-01',
mresolver.default_url_mapping),
validators=_validators)
validator.orig_iter_errors = validator.iter_errors
# We can't validate anything that looks like an external
# reference, since we don't have the actual content, so we
# just have to defer it for now. If the user cares about
# complete validation, they can call
# `AsdfFile.resolve_references`.
def iter_errors(self, instance, _schema=None, _seen=set()):
if id(instance) in _seen:
return
if _schema is None:
schema = self.schema
else:
schema = _schema
if ((isinstance(instance, dict) and '$ref' in instance)
or isinstance(instance, reference.Reference)):
return
if _schema is None:
tag = tagged.get_tag(instance)
if tag is not None:
schema_path = self.ctx.tag_to_schema_resolver(tag)
if schema_path != tag:
s = load_schema(schema_path, self.ctx.url_mapping)
if s:
with self.resolver.in_scope(schema_path):
for x in self.orig_iter_errors(instance, s):
yield x
if isinstance(instance, dict):
new_seen = _seen | set([id(instance)])
for val in six.itervalues(instance):
for x in self.iter_errors(val, _seen=new_seen):
yield x
elif isinstance(instance, list):
new_seen = _seen | set([id(instance)])
for val in instance:
for x in self.iter_errors(val, _seen=new_seen):
yield x
else:
for x in self.orig_iter_errors(instance, _schema=schema):
yield x
validator.iter_errors = iter_errors
return validator
def test_default_types_used_if_no_type_checker_given(self):
Validator = validators.create(
meta_schema=self.meta_schema,
validators=self.validators,
)
expected_types = {
u"array", u"boolean", u"integer", u"null", u"number", u"object",
u"string"
}
self.assertEqual(set(Validator.DEFAULT_TYPES), expected_types)
def setUp(self):
self.meta_schema = {u"properties": {u"smelly": {}}}
self.smelly = mock.MagicMock()
self.validators = {u"smelly": self.smelly}
self.type_checker = TypeChecker()
self.Validator = validators.create(meta_schema=self.meta_schema,
validators=self.validators,
type_checker=self.type_checker)
self.validator_value = 12
self.schema = {u"smelly": self.validator_value}
self.validator = self.Validator(self.schema)
def validator(self):
def unique(validator, value, instance, schema):
if store.contains(self.__storage_name, key=value, value=instance):
yield ValidationError(
f"`{value}` `{instance}` already exists.")
all_validators = dict(Draft4Validator.VALIDATORS)
all_validators["unique"] = unique
MyValidator = validators.create(
meta_schema=Draft4Validator.META_SCHEMA, validators=all_validators)
return MyValidator(self.validation_schema)
def setUp(self):
self.addCleanup(
self.assertEqual,
validators.meta_schemas,
dict(validators.meta_schemas),
)
self.meta_schema = {u"$id": "some://meta/schema"}
self.validators = {u"startswith": startswith}
self.type_checker = TypeChecker()
self.Validator = validators.create(meta_schema=self.meta_schema,
validators=self.validators,
type_checker=self.type_checker)
def test_default_types_used_if_no_type_checker_given(self):
Validator = validators.create(
meta_schema=self.meta_schema,
validators=self.validators,
)
expected_types = {u"array", u"boolean", u"integer", u"null", u"number",
u"object", u"string"}
self.assertEqual(set(Validator.DEFAULT_TYPES), expected_types)
self.assertEqual(set(Validator.TYPE_CHECKER._type_checkers),
expected_types)
def _create_validator(validators=YAML_VALIDATORS):
meta_schema = load_schema(YAML_SCHEMA_METASCHEMA_ID, mresolver.default_url_mapping)
base_cls = mvalidators.create(meta_schema=meta_schema, validators=validators)
class ASDFValidator(base_cls):
DEFAULT_TYPES = base_cls.DEFAULT_TYPES.copy()
DEFAULT_TYPES["array"] = (list, tuple)
def iter_errors(self, instance, _schema=None, _seen=set()):
# We can't validate anything that looks like an external reference,
# since we don't have the actual content, so we just have to defer
# it for now. If the user cares about complete validation, they
# can call `AsdfFile.resolve_references`.
if id(instance) in _seen:
return
if _schema is None:
schema = self.schema
else:
schema = _schema
if (isinstance(instance, dict) and "$ref" in instance) or isinstance(instance, reference.Reference):
return
if _schema is None:
tag = getattr(instance, "_tag", None)
if tag is not None:
schema_path = self.ctx.tag_to_schema_resolver(tag)
if schema_path != tag:
s = load_schema(schema_path, self.ctx.url_mapping)
if s:
with self.resolver.in_scope(schema_path):
for x in super(ASDFValidator, self).iter_errors(instance, s):
yield x
if isinstance(instance, dict):
new_seen = _seen | set([id(instance)])
for val in six.itervalues(instance):
for x in self.iter_errors(val, _seen=new_seen):
yield x
elif isinstance(instance, list):
new_seen = _seen | set([id(instance)])
for val in instance:
for x in self.iter_errors(val, _seen=new_seen):
yield x
else:
for x in super(ASDFValidator, self).iter_errors(instance, _schema=schema):
yield x
return ASDFValidator
def validate_cloudconfig_schema(config, schema, strict=False):
"""Validate provided config meets the schema definition.
@param config: Dict of cloud configuration settings validated against
schema.
@param schema: jsonschema dict describing the supported schema definition
for the cloud config module (config.cc_*).
@param strict: Boolean, when True raise SchemaValidationErrors instead of
logging warnings.
@raises: SchemaValidationError when provided config does not validate
against the provided schema.
"""
try:
from jsonschema import Draft4Validator, FormatChecker
from jsonschema.validators import create, extend
except ImportError:
logging.debug(
'Ignoring schema validation. python-jsonschema is not present')
return
# Allow for bytes to be presented as an acceptable valid value for string
# type jsonschema attributes in cloud-init's schema.
# This allows #cloud-config to provide valid yaml "content: !!binary | ..."
if hasattr(Draft4Validator, 'TYPE_CHECKER'): # jsonschema 3.0+
type_checker = Draft4Validator.TYPE_CHECKER.redefine(
'string', is_schema_byte_string)
cloudinitValidator = extend(Draft4Validator, type_checker=type_checker)
else: # jsonschema 2.6 workaround
types = Draft4Validator.DEFAULT_TYPES
# Allow bytes as well as string (and disable a spurious
# unsupported-assignment-operation pylint warning which appears because
# this code path isn't written against the latest jsonschema).
types['string'] = (str, bytes) # pylint: disable=E1137
cloudinitValidator = create(
meta_schema=Draft4Validator.META_SCHEMA,
validators=Draft4Validator.VALIDATORS,
version="draft4",
default_types=types)
validator = cloudinitValidator(schema, format_checker=FormatChecker())
errors = ()
for error in sorted(validator.iter_errors(config), key=lambda e: e.path):
path = '.'.join([str(p) for p in error.path])
errors += ((path, error.message),)
if errors:
if strict:
raise SchemaValidationError(errors)
else:
messages = ['{0}: {1}'.format(k, msg) for k, msg in errors]
logging.warning('Invalid config:\n%s', '\n'.join(messages))
def __init__(self, document, scheme):
self.document = document
self.scheme = scheme
title = scheme.get('title') or 'Scheme'
self.title = 'Invalid ' + title
all_validators = dict(Draft4Validator.VALIDATORS)
MyValidator = validators.create(
meta_schema=Draft4Validator.META_SCHEMA, validators=all_validators)
format_checker = FormatChecker()
self.validator = MyValidator(self.scheme,
format_checker=format_checker)
def test_default_types_update_type_checker(self):
Validator = validators.create(
meta_schema=self.meta_schema,
validators=self.validators,
default_types={u"array": list}
)
self.assertEqual(set(Validator.DEFAULT_TYPES), {u"array"})
Extended = validators.extend(
Validator,
type_checker=Validator.TYPE_CHECKER.remove(u"array")
)
self.assertEqual(set(Extended.DEFAULT_TYPES), {})
def setUp(self):
self.meta_schema = {u"properties": {u"smelly": {}}}
self.smelly = mock.MagicMock()
self.validators = {u"smelly": self.smelly}
self.type_checker = TypeChecker()
self.Validator = validators.create(
meta_schema=self.meta_schema,
validators=self.validators,
type_checker=self.type_checker
)
self.validator_value = 12
self.schema = {u"smelly": self.validator_value}
self.validator = self.Validator(self.schema)
def setUp(self):
self.meta_schema = {u"properties": {u"smelly": {}}}
self.smelly = mock.MagicMock()
self.validators = {u"smelly": self.smelly}
self.types = {u"dict": dict}
self.Validator = create(
meta_schema=self.meta_schema,
validators=self.validators,
default_types=self.types,
)
self.validator_value = 12
self.schema = {u"smelly": self.validator_value}
self.validator = self.Validator(self.schema)
def test_accessing_default_types_warns(self):
Validator = validators.create(meta_schema={}, validators={})
self.assertFalse(self.flushWarnings())
self.assertWarns(
DeprecationWarning,
("The DEFAULT_TYPES attribute is deprecated. "
"See the type checker attached to this validator instead."),
# https://tm.tl/9363 :'(
sys.modules[self.assertWarns.__module__].__file__,
getattr,
Validator,
"DEFAULT_TYPES",
)
def get_validator(schema, default=False):
"""return a validator supporting "vocabulary" rule,
return a default validator if default is True.
"""
if default:
return Draft7Validator(schema)
all_validators = dict(Draft7Validator.VALIDATORS)
all_validators['vocabulary'] = is_controlled_vocabulary
VocabularyValidator = validators.create(
meta_schema=Draft7Validator.META_SCHEMA, validators=all_validators)
vocab_validator = VocabularyValidator(schema)
return vocab_validator
def __init__(self, config: TransformConfig):
"""
Initialize TypeTransformer instance.
:param config Transform config that would be applied to object
"""
if TransformConfig.NoTransform in config and config != TransformConfig.NoTransform:
raise Exception("NoTransform option cannot be combined with other flags.")
self._config = config
all_validators = {
key: self.__get_normalizer(key, orig_validator)
for key, orig_validator in Draft7Validator.VALIDATORS.items()
# Do not validate field we do not transform for maximum performance.
if key in ["type", "array", "$ref", "properties", "items"]
}
self._normalizer = validators.create(meta_schema=Draft7Validator.META_SCHEMA, validators=all_validators)
def test_providing_types_to_init_warns(self):
Validator = validators.create(meta_schema={}, validators={})
self.assertFalse(self.flushWarnings())
self.assertWarns(
category=DeprecationWarning,
message=("The types argument is deprecated. "
"Provide a type_checker to jsonschema.validators.extend "
"instead."),
# https://tm.tl/9363 :'(
filename=sys.modules[self.assertWarns.__module__].__file__,
f=Validator,
schema={},
types={"bar": object},
)
def extend(validator, validators, version=None):
all_validators = dict(validator.VALIDATORS)
all_validators.update(validators)
all_types = dict(validator.DEFAULT_TYPES)
all_types.update({
"fd": FileDescriptor,
"binary": bytes,
"datetime": datetime.datetime
})
return create(
meta_schema=validator.META_SCHEMA,
validators=all_validators,
version=version,
default_types=all_types,
)
def test_accessing_default_types_warns(self):
Validator = validators.create(meta_schema={}, validators={})
self.assertFalse(self.flushWarnings())
self.assertWarns(
DeprecationWarning,
(
"The DEFAULT_TYPES attribute is deprecated. "
"See the type checker attached to this validator instead."
),
# https://tm.tl/9363 :'(
sys.modules[self.assertWarns.__module__].__file__,
getattr,
Validator,
"DEFAULT_TYPES",
)
def test_providing_types_to_init_warns(self):
Validator = validators.create(meta_schema={}, validators={})
self.assertFalse(self.flushWarnings())
self.assertWarns(
category=DeprecationWarning,
message=(
"The types argument is deprecated. "
"Provide a type_checker to jsonschema.validators.extend "
"instead."
),
# https://tm.tl/9363 :'(
filename=sys.modules[self.assertWarns.__module__].__file__,
f=Validator,
schema={},
types={"bar": object},
)
def test_types_update_type_checker(self):
tc = TypeChecker()
tc = tc.redefine(u"integer", _types.is_integer)
Validator = validators.create(
meta_schema=self.meta_schema,
validators=self.validators,
type_checker=tc,
)
v = Validator({})
self.assertEqual(
v.TYPE_CHECKER,
TypeChecker(type_checkers={u"integer": _types.is_integer}),
)
v = Validator({}, types={u"array": list})
self.assertEqual(
v.TYPE_CHECKER,
TypeChecker(type_checkers={u"array": _types.is_array}),
)
def check_schema(schema):
"""
Check a given schema to make sure it is valid YAML schema.
"""
# We also want to validate the "default" values in the schema
# against the schema itself. jsonschema as a library doesn't do
# this on its own.
def validate_default(validator, default, instance, schema):
if not validator.is_type(instance, 'object'):
return
if 'default' in instance:
with instance_validator.resolver.in_scope(scope):
for err in instance_validator.iter_errors(
instance['default'], instance):
yield err
VALIDATORS = util.HashableDict(
validators.Draft4Validator.VALIDATORS.copy())
VALIDATORS.update({
'default': validate_default
})
meta_schema = load_schema(
'http://stsci.edu/schemas/yaml-schema/draft-01',
mresolver.default_url_mapping)
resolver = _make_resolver(mresolver.default_url_mapping)
cls = validators.create(meta_schema=meta_schema,
validators=VALIDATORS)
validator = cls(meta_schema, resolver=resolver)
instance_validator = validators.Draft4Validator(schema, resolver=resolver)
scope = schema.get('id', '')
validator.validate(schema, _schema=meta_schema)
def check_schema(schema):
"""
Check a given schema to make sure it is valid YAML schema.
"""
# We also want to validate the "default" values in the schema
# against the schema itself. jsonschema as a library doesn't do
# this on its own.
def validate_default(validator, default, instance, schema):
if not validator.is_type(instance, 'object'):
return
if 'default' in instance:
with instance_validator.resolver.in_scope(scope):
for err in instance_validator.iter_errors(
instance['default'], instance):
yield err
VALIDATORS = util.HashableDict(
mvalidators.Draft4Validator.VALIDATORS.copy())
VALIDATORS.update({
'default': validate_default
})
meta_schema_id = schema.get('$schema', YAML_SCHEMA_METASCHEMA_ID)
meta_schema = load_schema(meta_schema_id, default_ext_resolver)
resolver = _make_resolver(default_ext_resolver)
cls = mvalidators.create(meta_schema=meta_schema,
validators=VALIDATORS)
validator = cls(meta_schema, resolver=resolver)
instance_validator = mvalidators.Draft4Validator(schema, resolver=resolver)
scope = schema.get('id', '')
validator.validate(schema, _schema=meta_schema)
def test_if_a_version_is_not_provided_it_is_not_registered(self):
with mock.patch("jsonschema.validators.validates") as validates:
create(meta_schema={"id" : "id"})
self.assertFalse(validates.called)
class DummyView(requesthandlers.ViewHandler):
"""Dummy ViewHandler for coverage"""
def delete(self):
# Reference db_conn to test for AttributeError
self.db_conn
meta_schema = Draft4Validator.META_SCHEMA.copy()
meta_schema['definitions']["simpleTypes"]['enum'].append('int')
default_types = Draft4Validator.DEFAULT_TYPES.copy()
default_types['int'] = int
ExtendedDraft4Validator = create(meta_schema,
Draft4Validator.VALIDATORS,
default_types=default_types)
class PeopleHandler(requesthandlers.APIHandler):
"""Example handler with input schema validation that uses custom Validator.
"""
@schema.validate(
input_schema={
"type": "object",
"properties": {
"name": {'type': "string"},
"age": {'type': "int"},
},
'required': ['name', 'age'],
},
def test_providing_neither_does_not_warn(self):
Validator = validators.create(meta_schema={}, validators={})
self.assertFalse(self.flushWarnings())
Validator({})
self.assertFalse(self.flushWarnings())
def test_extending_a_legacy_validator_does_not_rewarn(self):
Validator = validators.create(meta_schema={}, default_types={})
self.assertTrue(self.flushWarnings())
validators.extend(Validator)
self.assertFalse(self.flushWarnings())
CustomValidator = create(
meta_schema=get_draft_schema(version='custom', additional_properties=True),
validators={
u"$ref": _validators.ref,
u"additionalItems": _validators.additionalItems,
u"additionalProperties": _validators.additionalProperties,
u"allOf": _validators.allOf_draft4,
u"anyOf": _validators.anyOf_draft4,
u"dependencies": _validators.dependencies,
u"enum": _validators.enum,
u"format": _validators.format,
u"items": _validators.items,
u"maxItems": _validators.maxItems,
u"maxLength": _validators.maxLength,
u"maxProperties": _validators.maxProperties_draft4,
u"maximum": _validators.maximum,
u"minItems": _validators.minItems,
u"minLength": _validators.minLength,
u"minProperties": _validators.minProperties_draft4,
u"minimum": _validators.minimum,
u"multipleOf": _validators.multipleOf,
u"not": _validators.not_draft4,
u"oneOf": _validators.oneOf_draft4,
u"pattern": _validators.pattern,
u"patternProperties": _validators.patternProperties,
u"properties": _validators.properties_draft3,
u"type": _validators.type_draft4,
u"uniqueItems": _validators.uniqueItems,
},
version="custom_validator",
)
),
)
with warnings.catch_warnings():
warnings.simplefilter("ignore", DeprecationWarning)
TestDraft3LegacyTypeCheck = DRAFT3.to_unittest_testcase(
# Interestingly the any part couldn't really be done w/the old API.
(
(test for test in each if test.schema != {"type": "any"})
for each in DRAFT3.tests_of(name="type")
),
name="TestDraft3LegacyTypeCheck",
Validator=create(
meta_schema=Draft3Validator.META_SCHEMA,
validators=Draft3Validator.VALIDATORS,
default_types=_DEPRECATED_DEFAULT_TYPES,
),
)
TestDraft4LegacyTypeCheck = DRAFT4.to_unittest_testcase(
DRAFT4.tests_of(name="type"),
name="TestDraft4LegacyTypeCheck",
Validator=create(
meta_schema=Draft4Validator.META_SCHEMA,
validators=Draft4Validator.VALIDATORS,
default_types=_DEPRECATED_DEFAULT_TYPES,
),
)