[FastAPI-23]过滤响应数据

import typing

from fastapi import FastAPI, Response
from fastapi.responses import JSONResponse
from pydantic import BaseModel

app = FastAPI()

'''
过滤响应数据

- 只包含 response_model_include={"name"}
- 排除 response_model_exclude={"tax"}
- 过滤没有设置值 response_model_exclude_unset=True
{
  "name": "foo",
  "price": 50.2
}
- 过滤默认值 response_model_exclude_defaults=True
- 过滤空值 response_model_exclude_none=True 
'''


class Item(BaseModel):
    name: str
    description: typing.Union[str, None] = None
    price: float
    tax: float = 10.5


items = {
    "foo": {"name": "foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "This Bar fighter", "price": 62, "tax": 20.2},
    "baz": {
        "name": "Baz",
        "description": "There goes my baz",
        "price": 50.2,
        "tax": 10.5
    }
}

@app.get("/items/{name}",
         response_model=Item,
         # response_model_include={"name","tax"},
         # response_model_exclude={"tax"},
         response_model_exclude_unset=True,
         # response_model_exclude_defaults=True,
         # response_model_exclude_none=True
         )
def read_item_name(name:str):
    return items[name]