与在路径操作函数中使用 Query、Path 、Body 声明校验与元数据的方式一样,可以使用 Pydantic 的 Field 在 Pydantic 模型内部声明校验和元数据。
导入 Field
首先,从 Pydantic 中导入 Field:
Python 3.10+Python 3.9+Python 3.8+Python 3.10+ non-AnnotatedPython 3.8+ non-Annotated
from typing import Annotatedfrom fastapi import Body, FastAPIfrom pydantic import BaseModel, Fieldapp = FastAPI()class Item(BaseModel):name: strdescription: str | None = Field(default=None, title="The description of the item", max_length=300)price: float = Field(gt=0, description="The price must be greater than zero")tax: float | None = None@app.put("/items/{item_id}")async def update_item(item_id: int, item: Annotated[Item, Body(embed=True)]):results = {"item_id": item_id, "item": item}return results`
from typing import Annotated, Unionfrom fastapi import Body, FastAPIfrom pydantic import BaseModel, Fieldapp = FastAPI()class Item(BaseModel):name: strdescription: Union[str, None] = Field(default=None, title="The description of the item", max_length=300)price: float = Field(gt=0, description="The price must be greater than zero")tax: Union[float, None] = None@app.put("/items/{item_id}")async def update_item(item_id: int, item: Annotated[Item, Body(embed=True)]):results = {"item_id": item_id, "item": item}return results`
from typing import Unionfrom fastapi import Body, FastAPIfrom pydantic import BaseModel, Field from typing_extensions import Annotatedapp = FastAPI()class Item(BaseModel):name: strdescription: Union[str, None] = Field(default=None, title="The description of the item", max_length=300)price: float = Field(gt=0, description="The price must be greater than zero")tax: Union[float, None] = None@app.put("/items/{item_id}")async def update_item(item_id: int, item: Annotated[Item, Body(embed=True)]):results = {"item_id": item_id, "item": item}return results`
Tip
尽可能选择使用 Annotated 的版本。
from fastapi import Body, FastAPIfrom pydantic import BaseModel, Fieldapp = FastAPI()class Item(BaseModel):name: strdescription: str | None = Field(default=None, title="The description of the item", max_length=300)price: float = Field(gt=0, description="The price must be greater than zero")tax: float | None = None@app.put("/items/{item_id}")async def update_item(item_id: int, item: Item = Body(embed=True)):results = {"item_id": item_id, "item": item}return results`
Tip
尽可能选择使用 Annotated 的版本。
from typing import Unionfrom fastapi import Body, FastAPIfrom pydantic import BaseModel, Fieldapp = FastAPI()class Item(BaseModel):name: strdescription: Union[str, None] = Field(default=None, title="The description of the item", max_length=300)price: float = Field(gt=0, description="The price must be greater than zero")tax: Union[float, None] = None@app.put("/items/{item_id}")async def update_item(item_id: int, item: Item = Body(embed=True)):results = {"item_id": item_id, "item": item}return results`
警告
注意,与从 fastapi 导入 Query,Path、Body 不同,要直接从 pydantic 导入 Field 。
声明模型属性
然后,使用 Field 定义模型的属性:
Python 3.10+Python 3.9+Python 3.8+Python 3.10+ non-AnnotatedPython 3.8+ non-Annotated
from typing import Annotatedfrom fastapi import Body, FastAPIfrom pydantic import BaseModel, Fieldapp = FastAPI()class Item(BaseModel):name: strdescription: str | None = Field( default=None, title="The description of the item", max_length=300 ) price: float = Field(gt=0, description="The price must be greater than zero") tax: float | None = None@app.put("/items/{item_id}")async def update_item(item_id: int, item: Annotated[Item, Body(embed=True)]):results = {"item_id": item_id, "item": item}return results`
from typing import Annotated, Unionfrom fastapi import Body, FastAPIfrom pydantic import BaseModel, Fieldapp = FastAPI()class Item(BaseModel):name: strdescription: Union[str, None] = Field( default=None, title="The description of the item", max_length=300 ) price: float = Field(gt=0, description="The price must be greater than zero") tax: Union[float, None] = None@app.put("/items/{item_id}")async def update_item(item_id: int, item: Annotated[Item, Body(embed=True)]):results = {"item_id": item_id, "item": item}return results`
from typing import Unionfrom fastapi import Body, FastAPIfrom pydantic import BaseModel, Fieldfrom typing_extensions import Annotatedapp = FastAPI()class Item(BaseModel):name: strdescription: Union[str, None] = Field( default=None, title="The description of the item", max_length=300 ) price: float = Field(gt=0, description="The price must be greater than zero") tax: Union[float, None] = None@app.put("/items/{item_id}")async def update_item(item_id: int, item: Annotated[Item, Body(embed=True)]):results = {"item_id": item_id, "item": item}return results`
Tip
Prefer to use the Annotated version if possible.
from fastapi import Body, FastAPIfrom pydantic import BaseModel, Fieldapp = FastAPI()class Item(BaseModel):name: strdescription: str | None = Field( default=None, title="The description of the item", max_length=300 ) price: float = Field(gt=0, description="The price must be greater than zero") tax: float | None = None@app.put("/items/{item_id}")async def update_item(item_id: int, item: Item = Body(embed=True)):results = {"item_id": item_id, "item": item}return results`
Tip
Prefer to use the Annotated version if possible.
from typing import Unionfrom fastapi import Body, FastAPIfrom pydantic import BaseModel, Fieldapp = FastAPI()class Item(BaseModel):name: strdescription: Union[str, None] = Field( default=None, title="The description of the item", max_length=300 ) price: float = Field(gt=0, description="The price must be greater than zero") tax: Union[float, None] = None@app.put("/items/{item_id}")async def update_item(item_id: int, item: Item = Body(embed=True)):results = {"item_id": item_id, "item": item}return results`
Field 的工作方式和 Query、Path、Body 相同,参数也相同。
技术细节
实际上,Query、Path 都是 Params 的子类,而 Params 类又是 Pydantic 中 FieldInfo 的子类。
Pydantic 的 Field 返回也是 FieldInfo 的类实例。
Body 直接返回的也是 FieldInfo 的子类的对象。后文还会介绍一些 Body 的子类。
注意,从 fastapi 导入的 Query、Path 等对象实际上都是返回特殊类的函数。
提示
注意,模型属性的类型、默认值及 Field 的代码结构与路径操作函数的参数相同,只不过是用 Field 替换了Path、Query、Body。
添加更多信息
Field、Query、Body 等对象里可以声明更多信息,并且 JSON Schema 中也会集成这些信息。
声明示例一章中将详细介绍添加更多信息的知识。
小结
Pydantic 的 Field 可以为模型属性声明更多校验和元数据。
传递 JSON Schema 元数据还可以使用更多关键字参数。
