Current File : //usr/lib/python3/dist-packages/jsonschema/_types.py
from __future__ import annotations
import numbers
import typing
from pyrsistent import pmap
import attr
from jsonschema.exceptions import UndefinedTypeCheck
# unfortunately, the type of pmap is generic, and if used as the attr.ib
# converter, the generic type is presented to mypy, which then fails to match
# the concrete type of a type checker mapping
# this "do nothing" wrapper presents the correct information to mypy
def _typed_pmap_converter(
init_val: typing.Mapping[
str,
typing.Callable[["TypeChecker", typing.Any], bool],
],
) -> typing.Mapping[str, typing.Callable[["TypeChecker", typing.Any], bool]]:
return typing.cast(
typing.Mapping[
str,
typing.Callable[["TypeChecker", typing.Any], bool],
],
pmap(init_val),
)
def is_array(checker, instance):
return isinstance(instance, list)
def is_bool(checker, instance):
return isinstance(instance, bool)
def is_integer(checker, instance):
# bool inherits from int, so ensure bools aren't reported as ints
if isinstance(instance, bool):
return False
return isinstance(instance, int)
def is_null(checker, instance):
return instance is None
def is_number(checker, instance):
# bool inherits from int, so ensure bools aren't reported as ints
if isinstance(instance, bool):
return False
return isinstance(instance, numbers.Number)
def is_object(checker, instance):
return isinstance(instance, dict)
def is_string(checker, instance):
return isinstance(instance, str)
def is_any(checker, instance):
return True
@attr.s(frozen=True)
class TypeChecker(object):
"""
A ``type`` property checker.
A `TypeChecker` performs type checking for a `Validator`. Type
checks to perform are updated using `TypeChecker.redefine` or
`TypeChecker.redefine_many` and removed via `TypeChecker.remove`.
Each of these return a new `TypeChecker` object.
Arguments:
type_checkers (dict):
The initial mapping of types to their checking functions.
"""
_type_checkers: typing.Mapping[
str, typing.Callable[["TypeChecker", typing.Any], bool],
] = attr.ib(
default=pmap(),
converter=_typed_pmap_converter,
)
def is_type(self, instance, type):
"""
Check if the instance is of the appropriate type.
Arguments:
instance (object):
The instance to check
type (str):
The name of the type that is expected.
Returns:
bool: Whether it conformed.
Raises:
`jsonschema.exceptions.UndefinedTypeCheck`:
if type is unknown to this object.
"""
try:
fn = self._type_checkers[type]
except KeyError:
raise UndefinedTypeCheck(type) from None
return fn(self, instance)
def redefine(self, type, fn):
"""
Produce a new checker with the given type redefined.
Arguments:
type (str):
The name of the type to check.
fn (collections.abc.Callable):
A function taking exactly two parameters - the type
checker calling the function and the instance to check.
The function should return true if instance is of this
type and false otherwise.
Returns:
A new `TypeChecker` instance.
"""
return self.redefine_many({type: fn})
def redefine_many(self, definitions=()):
"""
Produce a new checker with the given types redefined.
Arguments:
definitions (dict):
A dictionary mapping types to their checking functions.
Returns:
A new `TypeChecker` instance.
"""
return attr.evolve(
self, type_checkers=self._type_checkers.update(definitions),
)
def remove(self, *types):
"""
Produce a new checker with the given types forgotten.
Arguments:
types (~collections.abc.Iterable):
the names of the types to remove.
Returns:
A new `TypeChecker` instance
Raises:
`jsonschema.exceptions.UndefinedTypeCheck`:
if any given type is unknown to this object
"""
checkers = self._type_checkers
for each in types:
try:
checkers = checkers.remove(each)
except KeyError:
raise UndefinedTypeCheck(each)
return attr.evolve(self, type_checkers=checkers)
draft3_type_checker = TypeChecker(
{
"any": is_any,
"array": is_array,
"boolean": is_bool,
"integer": is_integer,
"object": is_object,
"null": is_null,
"number": is_number,
"string": is_string,
},
)
draft4_type_checker = draft3_type_checker.remove("any")
draft6_type_checker = draft4_type_checker.redefine(
"integer",
lambda checker, instance: (
is_integer(checker, instance)
or isinstance(instance, float) and instance.is_integer()
),
)
draft7_type_checker = draft6_type_checker
draft201909_type_checker = draft7_type_checker
draft202012_type_checker = draft201909_type_checker
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