FastAPI 是一个 Web 框架,用于在 Python 3.8+ 中构建基于 HTTP 的服务 API。
介绍
- FastAPI 使用 Pydantic 和类型提示来验证、序列化和反序列化数据
- FastAPI 还会自动为使用它构建的 API 生成 OpenAPI 文档
安装
pip install "fastapi[standard]"
使用
from typing import Union
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
price: float
is_offer: Union[bool, None] = None
@app.get("/")
def read_root():
return {"Hello": "World"}
@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
return {"item_id": item_id, "q": q}
@app.put("/items/{item_id}")
def update_item(item_id: int, item: Item):
return {"item_name": item.name, "item_id": item_id}
- 启动
- http://127.0.0.1:8000
- docs: http://127.0.0.1:8000/docs
- openapi json: http://127.0.0.1:8000/openapi.json
- ReDoc: http://127.0.0.1:8000/redoc
# fastapi dev 可以在代码变化时自动加载
fastapi dev demo1.py
路径参数
from fastapi import FastAPI
app = FastAPI()
@app.get("/items/{item_id}")
async def read_item(item_id):
# async def read_item(item_id: int):
return {"item_id": item_id}
from enum import Enum
from fastapi import FastAPI
class ModelName(str, Enum):
alexnet = "alexnet"
resnet = "resnet"
lenet = "lenet"
app = FastAPI()
@app.get("/models/{model_name}")
async def get_model(model_name: ModelName):
if model_name is ModelName.alexnet:
return {"model_name": model_name, "message": "Deep Learning FTW!"}
if model_name.value == "lenet":
return {"model_name": model_name, "message": "LeCNN all the images"}
return {"model_name": model_name, "message": "Have some residuals"}
声明路径参数
from enum import Enum
from fastapi import FastAPI
class ModelName(str, Enum):
alexnet = "alexnet"
resnet = "resnet"
lenet = "lenet"
app = FastAPI()
@app.get("/models/{model_name}")
async def get_model(model_name: ModelName):
if model_name is ModelName.alexnet:
return {"model_name": model_name, "message": "Deep Learning FTW!"}
if model_name.value == "lenet":
return {"model_name": model_name, "message": "LeCNN all the images"}
return {"model_name": model_name, "message": "Have some residuals"}
路径转换器
from fastapi import FastAPI
app = FastAPI()
@app.get("/files/{file_path:path}")
async def read_file(file_path: str):
return {"file_path": file_path}
查询参数
from fastapi import FastAPI
app = FastAPI()
fake_items_db = [{"item_name": "Foo"}, {"item_name": "Bar"}, {"item_name": "Baz"}]
@app.get("/items/")
async def read_item(skip: int = 0, limit: int = 10):
# async def read_item(item_id: str, q: str | None = None): # 可选参数
# @app.get("/items/{item_id}")
# async def read_item(item_id: str, q: str | None = None, short: bool = False):
return fake_items_db[skip : skip + limit]
- http://127.0.0.1:8000/items/?skip=0&limit=10
必选查询参数
from fastapi import FastAPI
app = FastAPI()
@app.get("/items/{item_id}")
async def read_user_item(item_id: str, needy: str):
item = {"item_id": item_id, "needy": needy}
return item
请求体
from fastapi import FastAPI
from pydantic import BaseModel
class Item(BaseModel):
name: str
description: str | None = None
price: float
tax: float | None = None
app = FastAPI()
@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item, q: str | None = None):
result = {"item_id": item_id, **item.dict()}
if q:
result.update({"q": q})
return result
查询参数和字符串校验
from typing import Union
from fastapi import FastAPI, Query
app = FastAPI()
@app.get("/items/")
async def read_items(q: Union[str, None] = Query(default=None, max_length=50)):
# async def read_items(
# q: Union[str, None] = Query(default=None, min_length=3, max_length=50),
# ):
# 添加正则表达式
# async def read_items(
# q: Union[str, None] = Query(
# default=None, min_length=3, max_length=50, pattern="^fixedquery$"
# ),
# ):
# 默认值
# async def read_items(q: str = Query(default="fixedquery", min_length=3)):
results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
if q:
results.update({"q": q})
return results
路径参数和数值校验
from typing import Annotated
from fastapi import FastAPI, Path, Query
app = FastAPI()
@app.get("/items/{item_id}")
async def read_items(
item_id: Annotated[int, Path(title="The ID of the item to get")],
q: Annotated[str | None, Query(alias="item-query")] = None,
):
# async def read_items(
# *, item_id: int = Path(title="The ID of the item to get", ge=1), q: str
# ):
results = {"item_id": item_id}
if q:
results.update({"q": q})
return results
使用 Pydantic 模型的查询参数
from typing import Annotated, Literal
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
app = FastAPI()
class FilterParams(BaseModel):
limit: int = Field(100, gt=0, le=100)
offset: int = Field(0, ge=0)
order_by: Literal["created_at", "updated_at"] = "created_at"
tags: list[str] = []
@app.get("/items/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):
return filter_query
混合使用 Path、Query 和请求体参数
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
请求体 - 字段
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
请求体 - 嵌套模型
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
tags: list = []
@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):
results = {"item_id": item_id, "item": item}
return results
Cookie 参数
from typing import Annotated
from fastapi import Cookie, FastAPI
app = FastAPI()
@app.get("/items/")
async def read_items(ads_id: Annotated[str | None, Cookie()] = None):
return {"ads_id": ads_id}
Cookie 参数模型
from typing import Annotated
from fastapi import Cookie, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Cookies(BaseModel):
session_id: str
fatebook_tracker: str | None = None
googall_tracker: str | None = None
@app.get("/items/")
async def read_items(cookies: Annotated[Cookies, Cookie()]):
return cookies
from typing import Annotated
from fastapi import FastAPI, Header
app = FastAPI()
@app.get("/items/")
async def read_items(user_agent: Annotated[str | None, Header()] = None):
return {"User-Agent": user_agent}
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
响应模型
from typing import Any
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
tags: list[str] = []
@app.post("/items/", response_model=Item)
async def create_item(item: Item) -> Any:
return item
@app.get("/items/", response_model=list[Item])
async def read_items() -> Any:
return [
{"name": "Portal Gun", "price": 42.0},
{"name": "Plumbus", "price": 32.0},
]
响应模型
from typing import Any
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
tags: list[str] = []
@app.post("/items/", response_model=Item)
async def create_item(item: Item) -> Any:
return item
@app.get("/items/", response_model=list[Item])
async def read_items() -> Any:
return [
{"name": "Portal Gun", "price": 42.0},
{"name": "Plumbus", "price": 32.0},
]
响应状态码
from fastapi import FastAPI
app = FastAPI()
@app.post("/items/", status_code=201)
async def create_item(name: str):
return {"name": name}
表单数据
from fastapi import FastAPI, Form
app = FastAPI()
@app.post("/login/")
async def login(username: str = Form(), password: str = Form()):
return {"username": username}
表单模型
from typing import Annotated
from fastapi import FastAPI, Form
from pydantic import BaseModel
app = FastAPI()
class FormData(BaseModel):
username: str
password: str
@app.post("/login/")
async def login(data: Annotated[FormData, Form()]):
return data
其他