from typing import Optional
import uvicorn
from fastapi import FastAPI, Body
from typing import List, Tuple, Set
app = FastAPI()
@app.put("/items/{item_id}")
async def update_item(
list_: List[int] = Body(...),
tuple_: Tuple[int] = Body(...),
set_: Set[int] = Body(...),
):
results = {"list_": list_, "tuple_": tuple_, "set_": set_}
return results
if __name__ == "__main__":
uvicorn.run(app="9_typing:app", host="127.0.0.1", port=8080, reload=True, debug=True)
{
"list_": [
0,
1
],
"tuple_": [
0,
2
],
"set_": [
0,
3
]
}
用 Python 自带的 list、set、tuple 类,是无法指定序列里面参数的数据类型,所以 FastAPI 并不会针对里面的参数进行数据校验
@app.put("/items/{item_id}")
async def update_item(
list_: list = Body(...),
tuple_: tuple = Body(...),
set_: set = Body(...),
):
results = {"list_": list_, "tuple_": tuple_, "set_": set_}
return results
变成传啥类型的值都可以
要充分利用 FastAPI 的优势,强烈建议用 typing 的 List、Set、Tuple 来表示列表、集合、元组类型