Method model_schema

pydantic/json_schema.py:1604–1623

Generates a JSON schema that matches a schema that defines a model. Args: schema: The core schema. Returns: The generated JSON schema.

(self, schema: core_schema.ModelSchema)

        return self.generate_inner(schema['return_schema'])

    def model_schema(self, schema: core_schema.ModelSchema) -> JsonSchemaValue:
        """Generates a JSON schema that matches a schema that defines a model.

        Args:
            schema: The core schema.

        Returns:
            The generated JSON schema.
        """
        # We do not use schema['model'].model_json_schema() here
        # because it could lead to inconsistent refs handling, etc.
        cls = cast('type[BaseModel]', schema['cls'])
        config = cls.model_config

        with self._config_wrapper_stack.push(config):
            json_schema = self.generate_inner(schema['schema'])

        self._update_class_schema(json_schema, cls, config)

        return json_schema

    def _update_class_schema(self, json_schema: JsonSchemaValue, cls: type[Any], config: ConfigDict) -> None:
        """Update json_schema with the following, extracted from `config` and `cls`: