38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
# Copyright 2026 zhaoxi826
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Type, TypeVar
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from pydantic import BaseModel
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T = TypeVar("T", bound=Type[BaseModel])
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def pickle(cls: T) -> T:
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"""
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类装饰器pickle
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通过装饰继承了BaseModel的类，用pydantic的高效序列化替代python原生__reduce__魔术方法,实现ray在通讯时的高效序列化
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Args:
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cls: 继承了BaseModel类的类，需要被装饰的对象
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Returns:
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返回被重写了__reduce__魔术方法的cls类
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"""
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def __reduce__(self):
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# 1. 序列化：触发 Pydantic-core (Rust) 的极速序列化
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data = self.model_dump_json()
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# 2. 反序列化：告诉 Pickle 重建时调用 cls.model_validate_json
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return cls.model_validate_json, (data,)
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cls.__reduce__ = __reduce__
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return cls
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