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Þ'¯°ÌME[YéïĵÂCå½ Ué©Áû'Ê9%eÔðNU”ë‘ÌsD3/®+UI˜9h.WC”빓$#:pz:YÓ ¿xž* ³$Í +$kñAŠ‹†¢ Uê>¸)_š¬÷©ßAÂÔb9ÇU ¯¾á•9¯ÏÏ÷O÷¼¼Fähal1‰3Ì[Ïr•´UCksNÐ] R‘¸¥H+§Šé†c©vÖÞ0iÓ76s†î!§=ß ¼~Ô'°Ãmäoäš³ªøi1úÉ)³yV8 CLÄØÁ‘WYïi€H6ÖÑiámø^ÈY´°Ñ7¥Û*—Ñ©L«Qƒï—Ùrÿ ›£Ð*š¸ˆL©ˆ$ˆ ÷¾D§9È®«qbqC)–ˆïv´çñsÑVT­Ø, <àïºÀO«Jý·õ àfPìð .wFšir´þ’2_Y *Æ€x\« ì€9š@ Ž|F⇥ˆkZ@hÖÄ0t¿-<“‹qµ¾*ZL¤Ú)&BJpÓF5=$„at*Zš$’ÑtdûÝRI1 2Ž‰$€$I$#‰SÞ’Hë¬ï;Á$¡t$’`<(ñÇt)$‡Ð.Êf¢X’Kt=Éé$‚ˆªè¢oÝëòI%Rgcª÷ŠyI%¡‰ÿ !ñ)´õ $¤ Ô’IIGÿÙfrom collections.abc import Mapping, MutableMapping, Sequence from urllib.parse import urlsplit import itertools import json import re import sys # The files() API was added in Python 3.9. if sys.version_info >= (3, 9): # pragma: no cover from importlib import resources else: # pragma: no cover import importlib_resources as resources # type: ignore class URIDict(MutableMapping): """ Dictionary which uses normalized URIs as keys. """ def normalize(self, uri): return 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) class Unset(object): """ An as-of-yet unset attribute or unprovided default parameter. """ def __repr__(self): return "" def load_schema(name): """ Load a schema from ./schemas/``name``.json and return it. """ path = resources.files(__package__).joinpath(f"schemas/{name}.json") data = path.read_text(encoding="utf-8") return json.loads(data) def format_as_index(container, indices): """ Construct a single string containing indexing operations for the indices. For example for a container ``bar``, [1, 2, "foo"] -> bar[1][2]["foo"] Arguments: container (str): A word to use for the thing being indexed indices (sequence): The indices to format. """ if not indices: return container return f"{container}[{']['.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 sorted(extras)), verb def ensure_list(thing): """ Wrap ``thing`` in a list if it's a single str. Otherwise, return it unchanged. """ if isinstance(thing, str): return [thing] return thing def _mapping_equal(one, two): """ Check if two mappings are equal using the semantics of `equal`. """ if len(one) != len(two): return False return all( key in two and equal(value, two[key]) for key, value in one.items() ) def _sequence_equal(one, two): """ Check if two sequences are equal using the semantics of `equal`. """ if len(one) != len(two): return False return all(equal(i, j) for i, j in zip(one, two)) def equal(one, two): """ Check if two things are equal evading some Python type hierarchy semantics. Specifically in JSON Schema, evade `bool` inheriting from `int`, recursing into sequences to do the same. """ if isinstance(one, str) or isinstance(two, str): return one == two if isinstance(one, Sequence) and isinstance(two, Sequence): return _sequence_equal(one, two) if isinstance(one, Mapping) and isinstance(two, Mapping): return _mapping_equal(one, two) return unbool(one) == unbool(two) 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. Tries to rely on the container being recursively sortable, or otherwise falls back on (slow) brute force. """ try: sort = sorted(unbool(i) for i in container) sliced = itertools.islice(sort, 1, None) for i, j in zip(sort, sliced): if equal(i, j): return False except (NotImplementedError, TypeError): seen = [] for e in container: e = unbool(e) for i in seen: if equal(i, e): return False seen.append(e) return True def find_evaluated_item_indexes_by_schema(validator, instance, schema): """ Get all indexes of items that get evaluated under the current schema Covers all keywords related to unevaluatedItems: items, prefixItems, if, then, else, contains, unevaluatedItems, allOf, oneOf, anyOf """ if validator.is_type(schema, "boolean"): return [] evaluated_indexes = [] if "items" in schema: return list(range(0, len(instance))) if "$ref" in schema: scope, resolved = validator.resolver.resolve(schema["$ref"]) validator.resolver.push_scope(scope) try: evaluated_indexes += find_evaluated_item_indexes_by_schema( validator, instance, resolved, ) finally: validator.resolver.pop_scope() if "prefixItems" in schema: evaluated_indexes += list(range(0, len(schema["prefixItems"]))) if "if" in schema: if validator.evolve(schema=schema["if"]).is_valid(instance): evaluated_indexes += find_evaluated_item_indexes_by_schema( validator, instance, schema["if"], ) if "then" in schema: evaluated_indexes += find_evaluated_item_indexes_by_schema( validator, instance, schema["then"], ) else: if "else" in schema: evaluated_indexes += find_evaluated_item_indexes_by_schema( validator, instance, schema["else"], ) for keyword in ["contains", "unevaluatedItems"]: if keyword in schema: for k, v in enumerate(instance): if validator.evolve(schema=schema[keyword]).is_valid(v): evaluated_indexes.append(k) for keyword in ["allOf", "oneOf", "anyOf"]: if keyword in schema: for subschema in schema[keyword]: errs = list(validator.descend(instance, subschema)) if not errs: evaluated_indexes += find_evaluated_item_indexes_by_schema( validator, instance, subschema, ) return evaluated_indexes def find_evaluated_property_keys_by_schema(validator, instance, schema): """ Get all keys of items that get evaluated under the current schema Covers all keywords related to unevaluatedProperties: properties, additionalProperties, unevaluatedProperties, patternProperties, dependentSchemas, allOf, oneOf, anyOf, if, then, else """ if validator.is_type(schema, "boolean"): return [] evaluated_keys = [] if "$ref" in schema: scope, resolved = validator.resolver.resolve(schema["$ref"]) validator.resolver.push_scope(scope) try: evaluated_keys += find_evaluated_property_keys_by_schema( validator, instance, resolved, ) finally: validator.resolver.pop_scope() for keyword in [ "properties", "additionalProperties", "unevaluatedProperties", ]: if keyword in schema: if validator.is_type(schema[keyword], "boolean"): for property, value in instance.items(): if validator.evolve(schema=schema[keyword]).is_valid( {property: value}, ): evaluated_keys.append(property) if validator.is_type(schema[keyword], "object"): for property, subschema in schema[keyword].items(): if property in instance and validator.evolve( schema=subschema, ).is_valid(instance[property]): evaluated_keys.append(property) if "patternProperties" in schema: for property, value in instance.items(): for pattern, _ in schema["patternProperties"].items(): if re.search(pattern, property) and validator.evolve( schema=schema["patternProperties"], ).is_valid({property: value}): evaluated_keys.append(property) if "dependentSchemas" in schema: for property, subschema in schema["dependentSchemas"].items(): if property not in instance: continue evaluated_keys += find_evaluated_property_keys_by_schema( validator, instance, subschema, ) for keyword in ["allOf", "oneOf", "anyOf"]: if keyword in schema: for subschema in schema[keyword]: errs = list(validator.descend(instance, subschema)) if not errs: evaluated_keys += find_evaluated_property_keys_by_schema( validator, instance, subschema, ) if "if" in schema: if validator.evolve(schema=schema["if"]).is_valid(instance): evaluated_keys += find_evaluated_property_keys_by_schema( validator, instance, schema["if"], ) if "then" in schema: evaluated_keys += find_evaluated_property_keys_by_schema( validator, instance, schema["then"], ) else: if "else" in schema: evaluated_keys += find_evaluated_property_keys_by_schema( validator, instance, schema["else"], ) return evaluated_keys