mirror of
https://github.com/hyperion-project/hyperion.ng.git
synced 2023-10-10 13:36:59 +02:00
efc2046ab5
* LedDevice - Address clang findings * Fix Windows Warnings * Ensure newInput is initialised * Clean-up unused elements for Plaform Capture * Fix initialization problem and spellings * Address clang findings and spelling corrections * LedDevice clean-ups * Cleanups * Align that getLedCount is int * Have "display" as default for Grabbers * Fix config during start-up for missing elements * Framegrabber Clean-up - Remove non supported grabbers from selection, filter valid options * Typo * Framegrabber.json - Fix property numbering * Preselect active Grabbertype * Sort Grabbernames * Align options with selected element * Fix deletion of pointer to incomplete type 'BonjourBrowserWrapper' * Address macOS compile warnings * Have default layout = 1 LED only to avoid errors as in #673 * Address lgtm findings * Address finding that params passed to LedDevice discovery were not considered * Cleanups after merging with latest master * Update Changelog * Address lgtm findings * Fix comment * Test Fix * Fix Python Warning * Handle Dummy Device assignment correctly * Address delete called on non-final 'commandline::Option' that has virtual functions but non-virtual destructor * Correct that QTimer.start accepts only int * Have Release Python GIL & reset threat state chnage downward compatible * Correct format specifier * LedDevice - add assertions * Readonly DB - Fix merge issue * Smoothing - Fix wrong defaults * LedDevice - correct assertion * Show smoothing config set# in debug and related values. * Suppress error on windows, if default file is "/dev/null" * CMAKE - Allow to define QT_BASE_DIR dynamically via environment-variable * Ignore Visual Studio specific files Co-authored-by: Paulchen Panther <16664240+Paulchen-Panther@users.noreply.github.com>
794 lines
24 KiB
Python
794 lines
24 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 collections
|
|
import json
|
|
import itertools
|
|
import operator
|
|
import re
|
|
import sys
|
|
|
|
|
|
__version__ = "0.8.0"
|
|
|
|
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
|
|
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 = {}
|
|
|
|
|
|
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
|
|
return cls
|
|
return _validates
|
|
|
|
|
|
class UnknownType(Exception):
|
|
"""
|
|
An attempt was made to check if an instance was of an unknown type.
|
|
|
|
"""
|
|
|
|
|
|
class RefResolutionError(Exception):
|
|
"""
|
|
A JSON reference failed to resolve.
|
|
|
|
"""
|
|
|
|
|
|
class SchemaError(Exception):
|
|
"""
|
|
The provided schema is malformed.
|
|
|
|
The same attributes are present as for :exc:`ValidationError`\s.
|
|
|
|
"""
|
|
|
|
def __init__(self, message, validator=None, path=()):
|
|
super(SchemaError, self).__init__(message, validator, path)
|
|
self.message = message
|
|
self.path = list(path)
|
|
self.validator = validator
|
|
|
|
def __str__(self):
|
|
return self.message
|
|
|
|
|
|
class ValidationError(Exception):
|
|
"""
|
|
The instance didn't properly validate under the provided schema.
|
|
|
|
Relevant attributes are:
|
|
* ``message`` : a human readable message explaining the error
|
|
* ``path`` : a list containing the path to the offending element (or []
|
|
if the error happened globally) in *reverse* order (i.e.
|
|
deepest index first).
|
|
|
|
"""
|
|
|
|
def __init__(self, message, validator=None, path=()):
|
|
# Any validator that recurses (e.g. properties and items) must append
|
|
# to the ValidationError's path to properly maintain where in the
|
|
# instance the error occurred
|
|
super(ValidationError, self).__init__(message, validator, path)
|
|
self.message = message
|
|
self.path = list(path)
|
|
self.validator = validator
|
|
|
|
def __str__(self):
|
|
return self.message
|
|
|
|
|
|
@validates("draft3")
|
|
class Draft3Validator(object):
|
|
"""
|
|
A validator for JSON Schema draft 3.
|
|
|
|
"""
|
|
|
|
DEFAULT_TYPES = {
|
|
"array" : list, "boolean" : bool, "integer" : int, "null" : type(None),
|
|
"number" : (int, float), "object" : dict, "string" : basestring,
|
|
}
|
|
|
|
def __init__(self, schema, types=(), resolver=None):
|
|
self._types = dict(self.DEFAULT_TYPES)
|
|
self._types.update(types)
|
|
|
|
if resolver is None:
|
|
resolver = RefResolver.from_schema(schema)
|
|
|
|
self.resolver = resolver
|
|
self.schema = schema
|
|
|
|
def is_type(self, instance, type):
|
|
if type == "any":
|
|
return True
|
|
elif type not in self._types:
|
|
raise UnknownType(type)
|
|
type = self._types[type]
|
|
|
|
# bool inherits from int, so ensure bools aren't reported as integers
|
|
if isinstance(instance, bool):
|
|
type = _flatten(type)
|
|
if int in type and bool not in type:
|
|
return False
|
|
return isinstance(instance, type)
|
|
|
|
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(
|
|
error.message, validator=error.validator, path=error.path,
|
|
)
|
|
|
|
def iter_errors(self, instance, _schema=None):
|
|
if _schema is None:
|
|
_schema = self.schema
|
|
|
|
for k, v in iteritems(_schema):
|
|
validator = getattr(self, "validate_%s" % (k.lstrip("$"),), None)
|
|
|
|
if validator is None:
|
|
continue
|
|
|
|
errors = validator(v, instance, _schema) or ()
|
|
for error in errors:
|
|
# set the validator if it wasn't already set by the called fn
|
|
if error.validator is None:
|
|
error.validator = k
|
|
yield error
|
|
|
|
def validate(self, *args, **kwargs):
|
|
for error in self.iter_errors(*args, **kwargs):
|
|
raise error
|
|
|
|
def validate_type(self, types, instance, schema):
|
|
types = _list(types)
|
|
|
|
for type in types:
|
|
if self.is_type(type, "object"):
|
|
if self.is_valid(instance, type):
|
|
break
|
|
elif self.is_type(type, "string"):
|
|
if self.is_type(instance, type):
|
|
break
|
|
else:
|
|
yield ValidationError(_types_msg(instance, types))
|
|
return
|
|
|
|
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.iter_errors(instance[property], subschema):
|
|
error.path.append(property)
|
|
yield error
|
|
elif subschema.get("required", False):
|
|
yield ValidationError(
|
|
"%r is a required property" % (property,),
|
|
validator="required",
|
|
path=[property],
|
|
)
|
|
|
|
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.match(pattern, k):
|
|
for error in self.iter_errors(v, subschema):
|
|
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.iter_errors(instance[extra], aP):
|
|
yield error
|
|
elif not aP and extras:
|
|
error = "Additional properties are not allowed (%s %s unexpected)"
|
|
yield ValidationError(error % _extras_msg(extras))
|
|
|
|
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.iter_errors(instance, dependency):
|
|
yield error
|
|
else:
|
|
dependencies = _list(dependency)
|
|
for dependency in dependencies:
|
|
if dependency not in instance:
|
|
yield ValidationError(
|
|
"%r is a dependency of %r" % (dependency, property)
|
|
)
|
|
|
|
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.iter_errors(item, items):
|
|
error.path.append(index)
|
|
yield error
|
|
else:
|
|
for (index, item), subschema in zip(enumerate(instance), items):
|
|
for error in self.iter_errors(item, subschema):
|
|
error.path.append(index)
|
|
yield error
|
|
|
|
def validate_additionalItems(self, aI, instance, schema):
|
|
if (
|
|
not self.is_type(instance, "array") or
|
|
not self.is_type(schema.get("items"), "array")
|
|
):
|
|
return
|
|
|
|
if self.is_type(aI, "object"):
|
|
for item in instance[len(schema):]:
|
|
for error in self.iter_errors(item, aI):
|
|
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_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.match(patrn, instance):
|
|
yield ValidationError("%r does not match %r" % (instance, patrn))
|
|
|
|
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_enum(self, enums, instance, schema):
|
|
if instance not in enums:
|
|
yield ValidationError("%r is not one of %r" % (instance, enums))
|
|
|
|
def validate_divisibleBy(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 divisible by %r" % (instance, dB))
|
|
|
|
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"):
|
|
extends = [extends]
|
|
for subschema in extends:
|
|
for error in self.iter_errors(instance, subschema):
|
|
yield error
|
|
|
|
def validate_ref(self, ref, instance, schema):
|
|
resolved = self.resolver.resolve(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 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
|
|
|
|
"""
|
|
|
|
def __init__(self, base_uri, referrer, store=()):
|
|
self.base_uri = base_uri
|
|
self.referrer = referrer
|
|
self.store = dict(store, **_meta_schemas())
|
|
|
|
@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)
|
|
|
|
def resolve(self, ref):
|
|
"""
|
|
Resolve a JSON ``ref``.
|
|
|
|
:argument str ref: reference to resolve
|
|
:returns: the referrant document
|
|
|
|
"""
|
|
|
|
base_uri = self.base_uri
|
|
uri, fragment = urlparse.urldefrag(urlparse.urljoin(base_uri, ref))
|
|
|
|
if uri in self.store:
|
|
document = self.store[uri]
|
|
elif not uri or uri == self.base_uri:
|
|
document = self.referrer
|
|
else:
|
|
document = self.resolve_remote(uri)
|
|
|
|
return self.resolve_fragment(document, fragment.lstrip("/"))
|
|
|
|
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
|
|
|
|
"""
|
|
|
|
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.
|
|
|
|
:argument str uri: the URI to resolve
|
|
:returns: the retrieved document
|
|
|
|
"""
|
|
|
|
return json.load(urlopen(uri))
|
|
|
|
|
|
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):
|
|
"""
|
|
Retrieve the child tree with key ``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 _meta_schemas():
|
|
"""
|
|
Collect the urls and meta schemas from each known validator.
|
|
|
|
"""
|
|
|
|
meta_schemas = (v.META_SCHEMA for v in validators.values())
|
|
return dict((urlparse.urldefrag(m["id"])[0], m) for m in meta_schemas)
|
|
|
|
|
|
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 _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=Draft3Validator, *args, **kwargs):
|
|
"""
|
|
Validate an ``instance`` under the given ``schema``.
|
|
|
|
>>> validate([2, 3, 4], {"maxItems" : 2})
|
|
Traceback (most recent call last):
|
|
...
|
|
ValidationError: [2, 3, 4] is too long
|
|
|
|
:func:`validate` will first verify that the provided schema is itself
|
|
valid, since not doing so can lead to less obvious error messages and fail
|
|
in less obvious or consistent ways. If you know you have a valid schema
|
|
already or don't care, you might prefer using the ``validate`` method
|
|
directly on a specific validator (e.g. :meth:`Draft3Validator.validate`).
|
|
|
|
``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.
|
|
|
|
:raises:
|
|
:exc:`ValidationError` if the instance is invalid
|
|
|
|
:exc:`SchemaError` if the schema itself is invalid
|
|
|
|
"""
|
|
|
|
|
|
cls.check_schema(schema)
|
|
cls(schema, *args, **kwargs).validate(instance)
|