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//opt/alt/python27/lib/python2.7/site-packages/jsonschema/validators.py

from __future__ import division

import contextlib
import json
import numbers

try:
    import requests
except ImportError:
    requests = None

from jsonschema import _utils, _validators
from jsonschema.compat import (
    Sequence, urljoin, urlsplit, urldefrag, unquote, urlopen,
    str_types, int_types, iteritems, lru_cache,
)
from jsonschema.exceptions import ErrorTree  # Backwards compat  # noqa: F401
from jsonschema.exceptions import RefResolutionError, SchemaError, UnknownType

_unset = _utils.Unset()

validators = {}
meta_schemas = _utils.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.

Arguments:

version (str):

An identifier to use as the version's name

Returns:

callable: a class decorator to decorate the validator with the version

"""

def _validates(cls):
        validators[version] = cls
        if u"id" in cls.META_SCHEMA:
            meta_schemas[cls.META_SCHEMA[u"id"]] = cls
        return cls
    return _validates

def create(meta_schema, validators=(), version=None, default_types=None):  # noqa: C901, E501
    if default_types is None:
        default_types = {
            u"array": list, u"boolean": bool, u"integer": int_types,
            u"null": type(None), u"number": numbers.Number, u"object": dict,
            u"string": str_types,
        }

class Validator(object):
        VALIDATORS = dict(validators)
        META_SCHEMA = dict(meta_schema)
        DEFAULT_TYPES = dict(default_types)

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

@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

scope = _schema.get(u"id")
            if scope:
                self.resolver.push_scope(scope)
            try:
                ref = _schema.get(u"$ref")
                if ref is not None:
                    validators = [(u"$ref", ref)]
                else:
                    validators = iteritems(_schema)

for k, v in validators:
                    validator = self.VALIDATORS.get(k)
                    if validator is None:
                        continue

errors = validator(self, v, instance, _schema) or ()
                    for error in errors:
                        # set details if not already set by the called fn
                        error._set(
                            validator=k,
                            validator_value=v,
                            instance=instance,
                            schema=_schema,
                        )
                        if k != u"$ref":
                            error.schema_path.appendleft(k)
                        yield error
            finally:
                if scope:
                    self.resolver.pop_scope()

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

def is_type(self, instance, type):
            if type not in self._types:
                raise UnknownType(type, instance, self.schema)
            pytypes = self._types[type]

# bool inherits from int, so ensure bools aren't reported as ints
            if isinstance(instance, bool):
                pytypes = _utils.flatten(pytypes)
                is_number = any(
                    issubclass(pytype, numbers.Number) for pytype in pytypes
                )
                if is_number 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

if version is not None:
        Validator = validates(version)(Validator)
        Validator.__name__ = version.title().replace(" ", "") + "Validator"

return Validator

def extend(validator, validators, version=None):
    all_validators = dict(validator.VALIDATORS)
    all_validators.update(validators)
    return create(
        meta_schema=validator.META_SCHEMA,
        validators=all_validators,
        version=version,
        default_types=validator.DEFAULT_TYPES,
    )

Draft3Validator = create(
    meta_schema=_utils.load_schema("draft3"),
    validators={
        u"$ref": _validators.ref,
        u"additionalItems": _validators.additionalItems,
        u"additionalProperties": _validators.additionalProperties,
        u"dependencies": _validators.dependencies,
        u"disallow": _validators.disallow_draft3,
        u"divisibleBy": _validators.multipleOf,
        u"enum": _validators.enum,
        u"extends": _validators.extends_draft3,
        u"format": _validators.format,
        u"items": _validators.items,
        u"maxItems": _validators.maxItems,
        u"maxLength": _validators.maxLength,
        u"maximum": _validators.maximum,
        u"minItems": _validators.minItems,
        u"minLength": _validators.minLength,
        u"minimum": _validators.minimum,
        u"multipleOf": _validators.multipleOf,
        u"pattern": _validators.pattern,
        u"patternProperties": _validators.patternProperties,
        u"properties": _validators.properties_draft3,
        u"type": _validators.type_draft3,
        u"uniqueItems": _validators.uniqueItems,
    },
    version="draft3",
)

Draft4Validator = create(
    meta_schema=_utils.load_schema("draft4"),
    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_draft4,
        u"required": _validators.required_draft4,
        u"type": _validators.type_draft4,
        u"uniqueItems": _validators.uniqueItems,
    },
    version="draft4",
)

class RefResolver(object):
    """
    Resolve JSON References.

Arguments:

base_uri (str):

The URI of the referring document

referrer:

The actual referring document

store (dict):

A mapping from URIs to documents to cache

cache_remote (bool):

Whether remote refs should be cached after first resolution

handlers (dict):

A mapping from URI schemes to functions that should be used
            to retrieve them

urljoin_cache (repoze.lru.lru_cache):

A cache that will be used for caching the results of joining
            the resolution scope to subscopes.

remote_cache (repoze.lru.lru_cache):

A cache that will be used for caching the results of
            resolved remote URLs.

"""

def __init__(
        self,
        base_uri,
        referrer,
        store=(),
        cache_remote=True,
        handlers=(),
        urljoin_cache=None,
        remote_cache=None,
    ):
        if urljoin_cache is None:
            urljoin_cache = lru_cache(1024)(urljoin)
        if remote_cache is None:
            remote_cache = lru_cache(1024)(self.resolve_from_url)

self.referrer = referrer
        self.cache_remote = cache_remote
        self.handlers = dict(handlers)

self._scopes_stack = [base_uri]
        self.store = _utils.URIDict(
            (id, validator.META_SCHEMA)
            for id, validator in iteritems(meta_schemas)
        )
        self.store.update(store)
        self.store[base_uri] = referrer

self._urljoin_cache = urljoin_cache
        self._remote_cache = remote_cache

@classmethod
    def from_schema(cls, schema, *args, **kwargs):
        """
        Construct a resolver from a JSON schema object.

Arguments:

schema:

the referring schema

Returns:

:class:`RefResolver`

"""

return cls(schema.get(u"id", u""), schema, *args, **kwargs)

def push_scope(self, scope):
        self._scopes_stack.append(
            self._urljoin_cache(self.resolution_scope, scope),
        )

def pop_scope(self):
        try:
            self._scopes_stack.pop()
        except IndexError:
            raise RefResolutionError(
                "Failed to pop the scope from an empty stack. "
                "`pop_scope()` should only be called once for every "
                "`push_scope()`"
            )

@property
    def resolution_scope(self):
        return self._scopes_stack[-1]

@property
    def base_uri(self):
        uri, _ = urldefrag(self.resolution_scope)
        return uri

@contextlib.contextmanager
    def in_scope(self, scope):
        self.push_scope(scope)
        try:
            yield
        finally:
            self.pop_scope()

@contextlib.contextmanager
    def resolving(self, ref):
        """
        Context manager which resolves a JSON ``ref`` and enters the
        resolution scope of this ref.

Arguments:

ref (str):

The reference to resolve

"""

url, resolved = self.resolve(ref)
        self.push_scope(url)
        try:
            yield resolved
        finally:
            self.pop_scope()

def resolve(self, ref):
        url = self._urljoin_cache(self.resolution_scope, ref)
        return url, self._remote_cache(url)

def resolve_from_url(self, url):
        url, fragment = urldefrag(url)
        try:
            document = self.store[url]
        except KeyError:
            try:
                document = self.resolve_remote(url)
            except Exception as exc:
                raise RefResolutionError(exc)

return self.resolve_fragment(document, fragment)

def resolve_fragment(self, document, fragment):
        """
        Resolve a ``fragment`` within the referenced ``document``.

Arguments:

document:

The referrant document

fragment (str):

a URI fragment to resolve within it

"""

fragment = fragment.lstrip(u"/")
        parts = unquote(fragment).split(u"/") if fragment else []

for part in parts:
            part = part.replace(u"~1", u"/").replace(u"~0", u"~")

if isinstance(document, Sequence):
                # Array indexes should be turned into integers
                try:
                    part = int(part)
                except ValueError:
                    pass
            try:
                document = document[part]
            except (TypeError, LookupError):
                raise RefResolutionError(
                    "Unresolvable JSON pointer: %r" % fragment
                )

return document

def resolve_remote(self, uri):
        """
        Resolve a remote ``uri``.

If called directly, does not check the store first, but after
        retrieving the document at the specified URI it will be saved in
        the store if :attr:`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.

Arguments:

uri (str):

The URI to resolve

Returns:

The retrieved document

.. _requests: http://pypi.python.org/pypi/requests/

"""

scheme = urlsplit(uri).scheme

if scheme in self.handlers:
            result = self.handlers[scheme](uri)
        elif (
            scheme in [u"http", u"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

def validator_for(schema, default=_unset):
    if default is _unset:
        default = Draft4Validator
    return meta_schemas.get(schema.get(u"$schema", u""), default)

def validate(instance, schema, cls=None, *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
    :meth:`~IValidator.validate` method directly on a specific validator
    (e.g. :meth:`Draft4Validator.validate`).

Arguments:

instance:

The instance to validate

schema:

The schema to validate with

cls (:class:`IValidator`):

The class that will be used to validate the instance.

If the ``cls`` argument is not provided, two things will happen in
    accordance with the specification. First, if the schema has a
    :validator:`$schema` property containing a known meta-schema [#]_ then the
    proper validator will be used.  The specification recommends that all
    schemas contain :validator:`$schema` properties for this reason. If no
    :validator:`$schema` property is found, the default validator class is
    :class:`Draft4Validator`.

Any other provided positional and keyword arguments will be passed on when
    instantiating the ``cls``.

Raises:

:exc:`ValidationError` if the instance is invalid

:exc:`SchemaError` if the schema itself is invalid

.. rubric:: Footnotes
    .. [#] known by a validator registered with :func:`validates`
    """
    if cls is None:
        cls = validator_for(schema)
    cls.check_schema(schema)
    cls(schema, *args, **kwargs).validate(instance)