def parse_json(schema_str: str):
try:
js = loads(schema_str)
Draft7Validator.check_schema(js)
assert "type" in js
return TypedSchema(Draft7Validator(js), SchemaType.JSONSCHEMA)
except (JSONDecodeError, SchemaError, AssertionError) as e:
raise InvalidSchema from e
def clean(self):
"""
Validate the schema
"""
super().clean()
try:
Draft7Validator.check_schema(self.data_schema)
except SchemaError as e:
raise ValidationError({"data_schema": e.message})
if (type(self.data_schema) is not dict
or "properties" not in self.data_schema
or self.data_schema.get("type") != "object"):
raise ValidationError({
"data_schema":
"Nautobot only supports context data in the form of an object and thus the "
"JSON schema must be of type object and specify a set of properties."
})
def test_input_schema_is_valid():
Draft7Validator.check_schema(input_schema)