# # This file is licensed under the Affero General Public License (AGPL) version 3. # # Copyright 2022 The Matrix.org Foundation C.I.C. # Copyright (C) 2023 New Vector, Ltd # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License as # published by the Free Software Foundation, either version 3 of the # License, or (at your option) any later version. # # See the GNU Affero General Public License for more details: # . # # Originally licensed under the Apache License, Version 2.0: # . # # [This file includes modifications made by New Vector Limited] # # from typing import TYPE_CHECKING from synapse._pydantic_compat import HAS_PYDANTIC_V2 if TYPE_CHECKING or HAS_PYDANTIC_V2: from pydantic.v1 import BaseModel, Extra else: from pydantic import BaseModel, Extra class RequestBodyModel(BaseModel): """A custom version of Pydantic's BaseModel which - ignores unknown fields and - does not allow fields to be overwritten after construction, but otherwise uses Pydantic's default behaviour. Ignoring unknown fields is a useful default. It means that clients can provide unstable field not known to the server without the request being refused outright. Subclassing in this way is recommended by https://pydantic-docs.helpmanual.io/usage/model_config/#change-behaviour-globally """ class Config: # By default, ignore fields that we don't recognise. extra = Extra.ignore # By default, don't allow fields to be reassigned after parsing. allow_mutation = False