Method field_is_required

pydantic/json_schema.py:1767–1796

Whether the field should be marked as required in the generated JSON schema. (Note that this is irrelevant if the field is not present in the JSON schema.). Args: field: The schema for the field itself. total: Only applies to `TypedDictField`s.

(
        self,
        field: core_schema.ModelField | core_schema.DataclassField | core_schema.TypedDictField,
        total: bool,
    )

            assert_never(self.mode)

    def field_is_required(
        self,
        field: core_schema.ModelField | core_schema.DataclassField | core_schema.TypedDictField,
        total: bool,
    ) -> bool:
        """Whether the field should be marked as required in the generated JSON schema.
        (Note that this is irrelevant if the field is not present in the JSON schema.).

        Args:
            field: The schema for the field itself.
            total: Only applies to `TypedDictField`s.
                Indicates if the `TypedDict` this field belongs to is total, in which case any fields that don't
                explicitly specify `required=False` are required.

        Returns:
            `True` if the field should be marked as required in the generated JSON schema, `False` otherwise.
        """
        if field['type'] == 'typed-dict-field':
            required = field.get('required', total)
        else:
            required = field['schema']['type'] != 'default'

        if self.mode == 'serialization':
            has_exclude_if = field.get('serialization_exclude_if') is not None
            if self._config.json_schema_serialization_defaults_required:
                return not has_exclude_if
            else:
                return required and not has_exclude_if
        else:
            return required

    def dataclass_args_schema(self, schema: core_schema.DataclassArgsSchema) -> JsonSchemaValue:
        """Generates a JSON schema that matches a schema that defines a dataclass's constructor arguments.