| # Copyright 2024 the LlamaFactory team. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import json | |
| from typing import TYPE_CHECKING, Any, Dict | |
| if TYPE_CHECKING: | |
| from pydantic import BaseModel | |
| def dictify(data: "BaseModel") -> Dict[str, Any]: | |
| try: # pydantic v2 | |
| return data.model_dump(exclude_unset=True) | |
| except AttributeError: # pydantic v1 | |
| return data.dict(exclude_unset=True) | |
| def jsonify(data: "BaseModel") -> str: | |
| try: # pydantic v2 | |
| return json.dumps(data.model_dump(exclude_unset=True), ensure_ascii=False) | |
| except AttributeError: # pydantic v1 | |
| return data.json(exclude_unset=True, ensure_ascii=False) | |