第一章:Schema生成基础 1.1 默认Schema生成机制 PYTHONfrom pydantic import BaseModel class User(BaseModel): id: int name: str = Field(..., max_length=50) print(User.schema_json(indent=2)) 输出 vb.net…
"field_params": {"ge": 0, "json_schema_extra": {"unit": "ms"}} } }) 3.2 环境感知Schema from pydantic import BaseModel, ConfigDict class EnvAwareSchema(BaseModel): model_config = ConfigDict(json_schema_mode="dynamic") @classmethod def __get_pydantic_json_schema__(cls, core_schema,...
classItem(BaseModel):name:strdescription:Optional[str]=Nonedefquery_extractor(q:str=None):# 这里可以添加解析逻辑,例如解析 JSON 字符串或处理多个相关查询参数returnItem(name=q,description="Sample")@app.get("/items/")asyncdefread_items(item:Item=Depends(query_extractor)):return{"name":item.name,...
.json_schema import GenerateJsonSchema class CustomSchemaGenerator(GenerateJsonSchema): def generate(self, schema): if schema["type"] == "string": schema["format"] = "custom-string" return schema class DataModel(BaseModel): content: str print(DataModel.schema(schema_generator=CustomSchemaGenerator...
Initial Checks I confirm that I'm using Pydantic V2 Description I have implemented a LiteralModal to get a JSON schema for a literal type. But when generating the schema, it is ignoring the description that was passed to the field. A wor...
print(validator.json_schema())#结果: {'type': 'array', 'items': {'type': 'integer'}} 注意，此API是临时的，可能会在Pydantic V2的最终版本之前更改。已经支持的功能 以下是VPydantic V2 alpha版本中已经完成可以测试和验证的功能包。BaseModel ——Pydantic V1 中的验证核心仍然存在，尽管使用了新的...
model_config = ConfigDict(title='Main') foo_bar: FooBar gender: Annotated[Union[Gender, None], Field(alias='Gender')] = None snap: int = Field( 42, title='The Snap', description='this is the value of snap', gt=30, lt=50, ) main_model_schema = MainModel.model_json_schema() ...
schema_json() 以JSON Schema 形式返回模型,json 字符串格式 代码语言:javascript 代码运行次数:0 运行 AI代码解释 user=User(id='123',name="test")print(user.schema_json(),type(user.schema_json()))# 输出结果{"title":"User","type":"object","properties":{"id":{"title":"Id","type":"inte...
schema_json() 以JSON Schema 形式返回模型,json 字符串格式 user=User(id='123',name="test")print(user.schema_json(),type(user.schema_json()))# 输出结果{"title": "User","type": "object","properties": {"id": {"title": "Id","type": "integer"},"name": {"title": "Name","defa...
pydantic schema 1.根据模型自动创建JSON结构 from enum import Enum from pydantic import BaseModel, Field class FooBar(BaseModel): count: int size: float = None class Gender(str, Enum): male = 'male' female = 'female' other = 'other'...