blob: ae7e2b5c9c46e5b1671bf4a84af6d3ffe9a0f992 [file] [log] [blame]
import itertools
import json
import pkgutil
import re
from jsonschema.compat import str_types, MutableMapping, urlsplit
class URIDict(MutableMapping):
Dictionary which uses normalized URIs as keys.
def normalize(self, uri):
return urlsplit(uri).geturl()
def __init__(self, *args, **kwargs): = dict()*args, **kwargs)
def __getitem__(self, uri):
def __setitem__(self, uri, value):[self.normalize(uri)] = value
def __delitem__(self, uri):
def __iter__(self):
return iter(
def __len__(self):
return len(
def __repr__(self):
return repr(
class Unset(object):
An as-of-yet unset attribute or unprovided default parameter.
def __repr__(self):
return "<unset>"
def load_schema(name):
Load a schema from ./schemas/``name``.json and return it.
data = pkgutil.get_data('jsonschema', "schemas/{0}.json".format(name))
return json.loads(data.decode("utf-8"))
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, property):
yield property
def extras_msg(extras):
Create an error message for extra items or properties.
if len(extras) == 1:
verb = "was"
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:
except Exception:
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):
return tuple(types)
def ensure_list(thing):
Wrap ``thing`` in a list if it's a single str.
Otherwise, return it unchanged.
if isinstance(thing, str_types):
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
return len(set(unbool(i) for i in container)) == len(container)
except TypeError:
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
return True