请求体 - 多个参数¶
既然我们已经知道了如何使用 Path
和 Query
,下面让我们来了解一下请求体声明的更高级用法。
混合使用 Path
、Query
和请求体参数¶
首先,毫无疑问地,你可以随意地混合使用 Path
、Query
和请求体参数声明,FastAPI 会知道该如何处理。
你还可以通过将默认值设置为 None
来将请求体参数声明为可选参数:
from typing import Annotated
from fastapi import FastAPI, Path
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: str | None = None
price: float
tax: float | None = None
@app.put("/items/{item_id}")
async def update_item(
item_id: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
q: str | None = None,
item: Item | None = None,
):
results = {"item_id": item_id}
if q:
results.update({"q": q})
if item:
results.update({"item": item})
return results
🤓 Other versions and variants
from typing import Annotated, Union
from fastapi import FastAPI, Path
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: Union[str, None] = None
price: float
tax: Union[float, None] = None
@app.put("/items/{item_id}")
async def update_item(
item_id: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
q: Union[str, None] = None,
item: Union[Item, None] = None,
):
results = {"item_id": item_id}
if q:
results.update({"q": q})
if item:
results.update({"item": item})
return results
from typing import Union
from fastapi import FastAPI, Path
from pydantic import BaseModel
from typing_extensions import Annotated
app = FastAPI()
class Item(BaseModel):
name: str
description: Union[str, None] = None
price: float
tax: Union[float, None] = None
@app.put("/items/{item_id}")
async def update_item(
item_id: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
q: Union[str, None] = None,
item: Union[Item, None] = None,
):
results = {"item_id": item_id}
if q:
results.update({"q": q})
if item:
results.update({"item": item})
return results
Tip
Prefer to use the Annotated
version if possible.
from fastapi import FastAPI, Path
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: str | None = None
price: float
tax: float | None = None
@app.put("/items/{item_id}")
async def update_item(
*,
item_id: int = Path(title="The ID of the item to get", ge=0, le=1000),
q: str | None = None,
item: Item | None = None,
):
results = {"item_id": item_id}
if q:
results.update({"q": q})
if item:
results.update({"item": item})
return results
Tip
Prefer to use the Annotated
version if possible.
from typing import Union
from fastapi import FastAPI, Path
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: Union[str, None] = None
price: float
tax: Union[float, None] = None
@app.put("/items/{item_id}")
async def update_item(
*,
item_id: int = Path(title="The ID of the item to get", ge=0, le=1000),
q: Union[str, None] = None,
item: Union[Item, None] = None,
):
results = {"item_id": item_id}
if q:
results.update({"q": q})
if item:
results.update({"item": item})
return results
Note
请注意,在这种情况下,将从请求体获取的 item
是可选的。因为它的默认值为 None
。
多个请求体参数¶
在上面的示例中,路径操作将期望一个具有 Item
的属性的 JSON 请求体,就像:
{
"name": "Foo",
"description": "The pretender",
"price": 42.0,
"tax": 3.2
}
但是你也可以声明多个请求体参数,例如 item
和 user
:
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: str | None = None
price: float
tax: float | None = None
class User(BaseModel):
username: str
full_name: str | None = None
@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item, user: User):
results = {"item_id": item_id, "item": item, "user": user}
return results
🤓 Other versions and variants
from typing import Union
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: Union[str, None] = None
price: float
tax: Union[float, None] = None
class User(BaseModel):
username: str
full_name: Union[str, None] = None
@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item, user: User):
results = {"item_id": item_id, "item": item, "user": user}
return results
在这种情况下,FastAPI 将注意到该函数中有多个请求体参数(两个 Pydantic 模型参数)。
因此,它将使用参数名称作为请求体中的键(字段名称),并期望一个类似于以下内容的请求体:
{
"item": {
"name": "Foo",
"description": "The pretender",
"price": 42.0,
"tax": 3.2
},
"user": {
"username": "dave",
"full_name": "Dave Grohl"
}
}
Note
请注意,即使 item
的声明方式与之前相同,但现在它被期望通过 item
键内嵌在请求体中。
FastAPI 将自动对请求中的数据进行转换,因此 item
参数将接收指定的内容,user
参数也是如此。
它将执行对复合数据的校验,并且像现在这样为 OpenAPI 模式和自动化文档对其进行记录。
请求体中的单一值¶
与使用 Query
和 Path
为查询参数和路径参数定义额外数据的方式相同,FastAPI 提供了一个同等的 Body
。
例如,为了扩展先前的模型,你可能决定除了 item
和 user
之外,还想在同一请求体中具有另一个键 importance
。
如果你就按原样声明它,因为它是一个单一值,FastAPI 将假定它是一个查询参数。
但是你可以使用 Body
指示 FastAPI 将其作为请求体的另一个键进行处理。
from typing import Annotated
from fastapi import Body, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: str | None = None
price: float
tax: float | None = None
class User(BaseModel):
username: str
full_name: str | None = None
@app.put("/items/{item_id}")
async def update_item(
item_id: int, item: Item, user: User, importance: Annotated[int, Body()]
):
results = {"item_id": item_id, "item": item, "user": user, "importance": importance}
return results
🤓 Other versions and variants
from typing import Annotated, Union
from fastapi import Body, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: Union[str, None] = None
price: float
tax: Union[float, None] = None
class User(BaseModel):
username: str
full_name: Union[str, None] = None
@app.put("/items/{item_id}")
async def update_item(
item_id: int, item: Item, user: User, importance: Annotated[int, Body()]
):
results = {"item_id": item_id, "item": item, "user": user, "importance": importance}
return results
from typing import Union
from fastapi import Body, FastAPI
from pydantic import BaseModel
from typing_extensions import Annotated
app = FastAPI()
class Item(BaseModel):
name: str
description: Union[str, None] = None
price: float
tax: Union[float, None] = None
class User(BaseModel):
username: str
full_name: Union[str, None] = None
@app.put("/items/{item_id}")
async def update_item(
item_id: int, item: Item, user: User, importance: Annotated[int, Body()]
):
results = {"item_id": item_id, "item": item, "user": user, "importance": importance}
return results
Tip
Prefer to use the Annotated
version if possible.
from fastapi import Body, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: str | None = None
price: float
tax: float | None = None
class User(BaseModel):
username: str
full_name: str | None = None
@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item, user: User, importance: int = Body()):
results = {"item_id": item_id, "item": item, "user": user, "importance": importance}
return results
Tip
Prefer to use the Annotated
version if possible.
from typing import Union
from fastapi import Body, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: Union[str, None] = None
price: float
tax: Union[float, None] = None
class User(BaseModel):
username: str
full_name: Union[str, None] = None
@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item, user: User, importance: int = Body()):
results = {"item_id": item_id, "item": item, "user": user, "importance": importance}
return results
在这种情况下,FastAPI 将期望像这样的请求体:
{
"item": {
"name": "Foo",
"description": "The pretender",
"price": 42.0,
"tax": 3.2
},
"user": {
"username": "dave",
"full_name": "Dave Grohl"
},
"importance": 5
}
同样的,它将转换数据类型,校验,生成文档等。
多个请求体参数和查询参数¶
当然,除了请求体参数外,你还可以在任何需要的时候声明额外的查询参数。
由于默认情况下单一值被解释为查询参数,因此你不必显式地添加 Query
,你可以仅执行以下操作:
q: str = None
比如:
from typing import Annotated
from fastapi import Body, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: str | None = None
price: float
tax: float | None = None
class User(BaseModel):
username: str
full_name: str | None = None
@app.put("/items/{item_id}")
async def update_item(
*,
item_id: int,
item: Item,
user: User,
importance: Annotated[int, Body(gt=0)],
q: str | None = None,
):
results = {"item_id": item_id, "item": item, "user": user, "importance": importance}
if q:
results.update({"q": q})
return results
🤓 Other versions and variants
from typing import Annotated, Union
from fastapi import Body, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: Union[str, None] = None
price: float
tax: Union[float, None] = None
class User(BaseModel):
username: str
full_name: Union[str, None] = None
@app.put("/items/{item_id}")
async def update_item(
*,
item_id: int,
item: Item,
user: User,
importance: Annotated[int, Body(gt=0)],
q: Union[str, None] = None,
):
results = {"item_id": item_id, "item": item, "user": user, "importance": importance}
if q:
results.update({"q": q})
return results
from typing import Union
from fastapi import Body, FastAPI
from pydantic import BaseModel
from typing_extensions import Annotated
app = FastAPI()
class Item(BaseModel):
name: str
description: Union[str, None] = None
price: float
tax: Union[float, None] = None
class User(BaseModel):
username: str
full_name: Union[str, None] = None
@app.put("/items/{item_id}")
async def update_item(
*,
item_id: int,
item: Item,
user: User,
importance: Annotated[int, Body(gt=0)],
q: Union[str, None] = None,
):
results = {"item_id": item_id, "item": item, "user": user, "importance": importance}
if q:
results.update({"q": q})
return results
Tip
Prefer to use the Annotated
version if possible.
from fastapi import Body, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: str | None = None
price: float
tax: float | None = None
class User(BaseModel):
username: str
full_name: str | None = None
@app.put("/items/{item_id}")
async def update_item(
*,
item_id: int,
item: Item,
user: User,
importance: int = Body(gt=0),
q: str | None = None,
):
results = {"item_id": item_id, "item": item, "user": user, "importance": importance}
if q:
results.update({"q": q})
return results
Tip
Prefer to use the Annotated
version if possible.
from typing import Union
from fastapi import Body, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: Union[str, None] = None
price: float
tax: Union[float, None] = None
class User(BaseModel):
username: str
full_name: Union[str, None] = None
@app.put("/items/{item_id}")
async def update_item(
*,
item_id: int,
item: Item,
user: User,
importance: int = Body(gt=0),
q: Union[str, None] = None,
):
results = {"item_id": item_id, "item": item, "user": user, "importance": importance}
if q:
results.update({"q": q})
return results
Info
Body
同样具有与 Query
、Path
以及其他后面将看到的类完全相同的额外校验和元数据参数。
嵌入单个请求体参数¶
假设你只有一个来自 Pydantic 模型 Item
的请求体参数 item
。
默认情况下,FastAPI 将直接期望这样的请求体。
但是,如果你希望它期望一个拥有 item
键并在值中包含模型内容的 JSON,就像在声明额外的请求体参数时所做的那样,则可以使用一个特殊的 Body
参数 embed
:
item: Item = Body(embed=True)
比如:
from typing import Annotated
from fastapi import Body, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: str | None = None
price: float
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
🤓 Other versions and variants
from typing import Annotated, Union
from fastapi import Body, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: Union[str, None] = None
price: float
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
from typing_extensions import Annotated
app = FastAPI()
class Item(BaseModel):
name: str
description: Union[str, None] = None
price: float
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
app = FastAPI()
class Item(BaseModel):
name: str
description: str | None = None
price: float
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
app = FastAPI()
class Item(BaseModel):
name: str
description: Union[str, None] = None
price: float
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
在这种情况下,FastAPI 将期望像这样的请求体:
{
"item": {
"name": "Foo",
"description": "The pretender",
"price": 42.0,
"tax": 3.2
}
}
而不是:
{
"name": "Foo",
"description": "The pretender",
"price": 42.0,
"tax": 3.2
}
总结¶
你可以添加多个请求体参数到路径操作函数中,即使一个请求只能有一个请求体。
但是 FastAPI 会处理它,在函数中为你提供正确的数据,并在路径操作中校验并记录正确的模式。
你还可以声明将作为请求体的一部分所接收的单一值。
你还可以指示 FastAPI 在仅声明了一个请求体参数的情况下,将原本的请求体嵌入到一个键中。