python config_error ai_generated true

pydantic.errors.PydanticUserError：@computed_field 应与 @property 搭配使用。当 @computed_field 应用于非属性时，会引发此错误。

pydantic.errors.PydanticUserError: @computed_field should be used with @property. This error is raised when a @computed_field is applied to a non-property.

ID: python/pydantic-computed-field-serialization

其他格式: JSON · Markdown 中文 · English
80%修复率
87%置信度
0证据数
2024-07-08首次发现

版本兼容性

版本状态引入弃用备注
2.x active — — —

根因分析

装饰器顺序颠倒：@computed_field 放在了没有 @property 的普通方法之上，或 @property 放在了 @computed_field 之上。

English

Decorator order was reversed: @computed_field placed above a plain method without @property, or @property placed above @computed_field.

generic

解决方案

  1. 95% 成功率 
    from pydantic import BaseModel, computed_field
class M(BaseModel):
    a: int
    b: int
    @computed_field
    @property
    def total(self) -> int:
        return self.a + self.b
  2. 85% 成功率 
    from pydantic import model_serializer
class M(BaseModel):
    a: int
    @model_serializer
    def ser(self):
        return {'a': self.a, 'double': self.a * 2}

无效尝试

常见但无效的做法:

  1. 60% 失败

    Field no longer appears in model_dump / JSON output.

  2. 55% 失败

    staticmethod returns a descriptor; validation raises because it is not a property.

  3. 50% 失败

    Recomputes only at construction; stale if inputs mutate.