Header 参数模型¶
如果你有一组相关的header 参数，你可以创建一个 Pydantic 模型来声明它们。
这样你就可以在多个地方重用该模型，并且可以一次性声明所有参数的验证和元数据。😎
注意
FastAPI 0.115.0 版本开始支持此功能。🤓
使用 Pydantic 模型定义 Header 参数¶
在 Pydantic 模型中声明所需的header 参数，然后将参数声明为 Header
from typing import Annotated
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
host: str
save_data: bool
if_modified_since: str | None = None
traceparent: str | None = None
x_tag: list[str] = []
@app.get("/items/")
async def read_items(headers: Annotated[CommonHeaders, Header()]):
return headers
🤓 其他版本和变体
from typing import Annotated, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
host: str
save_data: bool
if_modified_since: Union[str, None] = None
traceparent: Union[str, None] = None
x_tag: list[str] = []
@app.get("/items/")
async def read_items(headers: Annotated[CommonHeaders, Header()]):
return headers
from typing import List, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
from typing_extensions import Annotated
app = FastAPI()
class CommonHeaders(BaseModel):
host: str
save_data: bool
if_modified_since: Union[str, None] = None
traceparent: Union[str, None] = None
x_tag: List[str] = []
@app.get("/items/")
async def read_items(headers: Annotated[CommonHeaders, Header()]):
return headers
提示
如果可能，请优先使用 Annotated 版本。
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
host: str
save_data: bool
if_modified_since: str | None = None
traceparent: str | None = None
x_tag: list[str] = []
@app.get("/items/")
async def read_items(headers: CommonHeaders = Header()):
return headers
提示
如果可能，请优先使用 Annotated 版本。
from typing import Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
host: str
save_data: bool
if_modified_since: Union[str, None] = None
traceparent: Union[str, None] = None
x_tag: list[str] = []
@app.get("/items/")
async def read_items(headers: CommonHeaders = Header()):
return headers
提示
如果可能，请优先使用 Annotated 版本。
from typing import List, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
host: str
save_data: bool
if_modified_since: Union[str, None] = None
traceparent: Union[str, None] = None
x_tag: List[str] = []
@app.get("/items/")
async def read_items(headers: CommonHeaders = Header()):
return headers
FastAPI 将从请求的 headers 中提取每个字段的数据，并为你提供定义的 Pydantic 模型。
查看文档¶
你可以在 /docs 处的文档 UI 中看到所需的 headers。
禁止额外的 Header¶
在某些特殊的使用场景下（可能不常见），你可能希望限制接收的 headers。
你可以使用 Pydantic 的模型配置来 forbid 任何 extra 字段
from typing import Annotated
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
model_config = {"extra": "forbid"}
host: str
save_data: bool
if_modified_since: str | None = None
traceparent: str | None = None
x_tag: list[str] = []
@app.get("/items/")
async def read_items(headers: Annotated[CommonHeaders, Header()]):
return headers
🤓 其他版本和变体
from typing import Annotated, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
model_config = {"extra": "forbid"}
host: str
save_data: bool
if_modified_since: Union[str, None] = None
traceparent: Union[str, None] = None
x_tag: list[str] = []
@app.get("/items/")
async def read_items(headers: Annotated[CommonHeaders, Header()]):
return headers
from typing import List, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
from typing_extensions import Annotated
app = FastAPI()
class CommonHeaders(BaseModel):
model_config = {"extra": "forbid"}
host: str
save_data: bool
if_modified_since: Union[str, None] = None
traceparent: Union[str, None] = None
x_tag: List[str] = []
@app.get("/items/")
async def read_items(headers: Annotated[CommonHeaders, Header()]):
return headers
提示
如果可能，请优先使用 Annotated 版本。
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
model_config = {"extra": "forbid"}
host: str
save_data: bool
if_modified_since: str | None = None
traceparent: str | None = None
x_tag: list[str] = []
@app.get("/items/")
async def read_items(headers: CommonHeaders = Header()):
return headers
提示
如果可能，请优先使用 Annotated 版本。
from typing import Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
model_config = {"extra": "forbid"}
host: str
save_data: bool
if_modified_since: Union[str, None] = None
traceparent: Union[str, None] = None
x_tag: list[str] = []
@app.get("/items/")
async def read_items(headers: CommonHeaders = Header()):
return headers
提示
如果可能，请优先使用 Annotated 版本。
from typing import List, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
model_config = {"extra": "forbid"}
host: str
save_data: bool
if_modified_since: Union[str, None] = None
traceparent: Union[str, None] = None
x_tag: List[str] = []
@app.get("/items/")
async def read_items(headers: CommonHeaders = Header()):
return headers
如果客户端尝试发送一些额外的 headers，它们将收到一个错误响应。
例如，如果客户端尝试发送一个值为 plumbus 的 tool header，它们将收到一个错误响应，告诉它们 header 参数 tool 不被允许
{
"detail": [
{
"type": "extra_forbidden",
"loc": ["header", "tool"],
"msg": "Extra inputs are not permitted",
"input": "plumbus",
}
]
}
禁用下划线转换¶
与常规 header 参数一样，当参数名称中包含下划线时，它们会自动转换为连字符。
例如，如果代码中有一个 header 参数 save_data，则预期的 HTTP header 将是 save-data，并且它会在文档中显示为这样。
如果由于某种原因你需要禁用此自动转换，你也可以对 header 参数的 Pydantic 模型进行此操作。
from typing import Annotated
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
host: str
save_data: bool
if_modified_since: str | None = None
traceparent: str | None = None
x_tag: list[str] = []
@app.get("/items/")
async def read_items(
headers: Annotated[CommonHeaders, Header(convert_underscores=False)],
):
return headers
🤓 其他版本和变体
from typing import Annotated, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
host: str
save_data: bool
if_modified_since: Union[str, None] = None
traceparent: Union[str, None] = None
x_tag: list[str] = []
@app.get("/items/")
async def read_items(
headers: Annotated[CommonHeaders, Header(convert_underscores=False)],
):
return headers
from typing import List, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
from typing_extensions import Annotated
app = FastAPI()
class CommonHeaders(BaseModel):
host: str
save_data: bool
if_modified_since: Union[str, None] = None
traceparent: Union[str, None] = None
x_tag: List[str] = []
@app.get("/items/")
async def read_items(
headers: Annotated[CommonHeaders, Header(convert_underscores=False)],
):
return headers
提示
如果可能，请优先使用 Annotated 版本。
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
host: str
save_data: bool
if_modified_since: str | None = None
traceparent: str | None = None
x_tag: list[str] = []
@app.get("/items/")
async def read_items(headers: CommonHeaders = Header(convert_underscores=False)):
return headers
提示
如果可能，请优先使用 Annotated 版本。
from typing import Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
host: str
save_data: bool
if_modified_since: Union[str, None] = None
traceparent: Union[str, None] = None
x_tag: list[str] = []
@app.get("/items/")
async def read_items(headers: CommonHeaders = Header(convert_underscores=False)):
return headers
提示
如果可能，请优先使用 Annotated 版本。
from typing import List, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
host: str
save_data: bool
if_modified_since: Union[str, None] = None
traceparent: Union[str, None] = None
x_tag: List[str] = []
@app.get("/items/")
async def read_items(headers: CommonHeaders = Header(convert_underscores=False)):
return headers
警告
在将 convert_underscores 设置为 False 之前，请记住某些 HTTP 代理和服务器不允许使用带有下划线的 headers。
总结¶
你可以在 FastAPI 中使用 Pydantic 模型来声明 headers。😎