9

我正在尝试将 MongoDB 记录解析为 pydantic 模型，但未能这样做ObjectId

据我了解，我需要为 ObjectId 设置验证器，并尝试扩展 ObjectId 类并validator使用 ObjectId 将装饰器添加到我的类中。我做了如下。

from pydantic import BaseModel, validator
from bson.objectid import ObjectId


class ObjectId(ObjectId):
    pass
    @classmethod
    def __get_validators__(cls):
        yield cls.validate
    @classmethod
    def validate(cls, v):
        if not isinstance(v, ObjectId):
            raise TypeError('ObjectId required')
        return str(v)


class User(BaseModel):
    who: ObjectId


class User1(BaseModel):
    who: ObjectId
    @validator('who')
    def validate(cls, v):
        if not isinstance(v, ObjectId):
            raise TypeError('ObjectId required')
        return str(v)

data = {"who":ObjectId('123456781234567812345678')}

不幸的是，这两个“解决方案”都失败了，如下所示：

>>> test = User(**data)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "pydantic/main.py", line 274, in pydantic.main.BaseModel.__init__
pydantic.error_wrappers.ValidationError: 1 validation error for User
id
  field required (type=value_error.missing)

>>> test = User1(**data)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "pydantic/main.py", line 274, in pydantic.main.BaseModel.__init__
pydantic.error_wrappers.ValidationError: 1 validation error for User1
who
  ObjectId required (type=type_error)

这里肯定有一些我想念的东西。

4

3 回答 3

18

您的第一个测试用例工作正常。问题在于你如何覆盖ObjectId.

from pydantic import BaseModel
from bson.objectid import ObjectId as BsonObjectId


class PydanticObjectId(BsonObjectId):
    @classmethod
    def __get_validators__(cls):
        yield cls.validate

    @classmethod
    def validate(cls, v):
        if not isinstance(v, BsonObjectId):
            raise TypeError('ObjectId required')
        return str(v)


class User(BaseModel):
    who: PydanticObjectId


print(User(who=BsonObjectId('123456781234567812345678')))

印刷

who='123456781234567812345678'

只有 pydantic 应该使用 pydantic 类型。Mongo 将为您提供 bsons ObjectId。所以用真实的 ObjectId 实例化你的数据。这data = {"who":ObjectId('123456781234567812345678')}是错误的，因为它使用您的子 ObjectId 类。

于 2019-12-27T17:05:47.600 回答
1

另一种方法是使用 pydantic，我发现从另一个来源有用的是：

在模型文件夹中定义一个名为 PyObjectId.py 的文件。

from pydantic import BaseModel, Field as PydanticField
from bson import ObjectId

class PyObjectId(ObjectId):
    @classmethod
    def __get_validators__(cls):
        yield cls.validate
    @classmethod
    def validate(cls, v):
        if not ObjectId.is_valid(v):
            raise ValueError("Invalid objectid")
        return ObjectId(v)
    @classmethod
    def __modify_schema__(cls, field_schema):
        field_schema.update(type="string")

然后你可以在你的任何目标文件中使用它，比如 users.py

from models.PyObjectId import PyObjectId
from pydantic import BaseModel, Field as PydanticField
from bson import ObjectId
class Users(BaseModel):
    id: PyObjectId = PydanticField(default_factory=PyObjectId, alias="_id")
    class Config:
        allow_population_by_field_name = True
        arbitrary_types_allowed = True #required for the _id 
        json_encoders = {ObjectId: str}
于 2021-07-29T17:43:58.187 回答
1

此代码帮助您使用 json 编码器

from bson import ObjectId
from pydantic import BaseModel


class ObjId(ObjectId):
    @classmethod
    def __get_validators__(cls):
        yield cls.validate

@classmethod
def validate(cls, v: str):
    try:
        return cls(v)
    except InvalidId:
        raise ValueError("Not a valid ObjectId")


class Foo(BaseModel):
    object_id_field: ObjId = None

    class Config:
        json_encoders = {
            ObjId: lambda v: str(v),
        }



obj = Foo(object_id_field="60cd778664dc9f75f4aadec8")
print(obj.dict())
# {'object_id_field': ObjectId('60cd778664dc9f75f4aadec8')}
print(obj.json())
# {'object_id_field': '60cd778664dc9f75f4aadec8'}
于 2021-10-04T06:19:36.290 回答