请求体 - 字段¶
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
:
from typing import Annotated
from fastapi import Body, FastAPI
from pydantic import BaseModel, Field
app = FastAPI()
class Item(BaseModel):
name: str
description: 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, Union
from fastapi import Body, FastAPI
from pydantic import BaseModel, Field
app = FastAPI()
class Item(BaseModel):
name: str
description: 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 Union
from fastapi import Body, FastAPI
from pydantic import BaseModel, Field
from typing_extensions import Annotated
app = FastAPI()
class Item(BaseModel):
name: str
description: 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, FastAPI
from pydantic import BaseModel, Field
app = FastAPI()
class Item(BaseModel):
name: str
description: 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 Union
from fastapi import Body, FastAPI
from pydantic import BaseModel, Field
app = FastAPI()
class Item(BaseModel):
name: str
description: 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:
from typing import Annotated
from fastapi import Body, FastAPI
from pydantic import BaseModel, Field
app = FastAPI()
class Item(BaseModel):
name: str
description: 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, Union
from fastapi import Body, FastAPI
from pydantic import BaseModel, Field
app = FastAPI()
class Item(BaseModel):
name: str
description: 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 Union
from fastapi import Body, FastAPI
from pydantic import BaseModel, Field
from typing_extensions import Annotated
app = FastAPI()
class Item(BaseModel):
name: str
description: 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, FastAPI
from pydantic import BaseModel, Field
app = FastAPI()
class Item(BaseModel):
name: str
description: 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 Union
from fastapi import Body, FastAPI
from pydantic import BaseModel, Field
app = FastAPI()
class Item(BaseModel):
name: str
description: 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。