1.hello world 给后端船数据
hello world 接口给后端传 COVID-19 感染数据_高性能 FastAPI 框架入门精讲-慕课网
#!/usr/bin/python3
# -*- coding:utf-8 -*-
# __author__ = '__Jack__'
from typing import Optional
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI() # 这里不一定是app，名字随意
class CityInfo(BaseModel):
province: str
country: str
is_affected: Optional[bool] = None # 与bool的区别是可以不传，默认是null
# @app.get('/')
# def hello_world():
# return {'hello': 'world'}
#
#
# @app.get('/city/{city}')
# def result(city: str, query_string: Optional[str] = None):
# return {'city': city, 'query_string': query_string}
#
#
# @app.put('/city/{city}')
# def result(city: str, city_info: CityInfo):
# return {'city': city, 'country': city_info.country, 'is_affected': city_info.is_affected}
#
@app.get('/')
async def hello_world():
return {'hello': 'world'}
@app.get('/city/{city}')
async def result(city: str, query_string: Optional[str] = None):
return {'city': city, 'query_string': query_string}
@app.put('/city/{city}')
async def result(city: str, city_info: CityInfo):
return {'city': city, 'country': city_info.country, 'is_affected': city_info.is_affected}
# 启动命令：uvicorn hello_world:app --reload2.swaggerUI界面
FastAPI 的 API 交互文档 - Swagger UI 和 ReDoc_高性能 FastAPI 框架入门精讲-慕课网
讲的是swagger中的docs和redoc的作用，各关键地方的作用用法
3.路径参数和数据的解析、验证
路径参数和数据的解析、验证_高性能 FastAPI 框架入门精讲-慕课网
4.查询参数和数据的解析、验证
查询参数和数据的解析、验证_高性能 FastAPI 框架入门精讲-慕课网
5.请求体以及混合参数
请求体以及混合参数_高性能 FastAPI 框架入门精讲-慕课网
6.如何定义数据格式嵌套的请求体
如何定义数据格式嵌套的请求体？_高性能 FastAPI 框架入门精讲-慕课网
7.如何设置Cookie和Header参数
如何设置 Cookie 和 Header 参数？_高性能 FastAPI 框架入门精讲-慕课网
#!/usr/bin/python3
# -*- coding:utf-8 -*-
# __author__ = '__Jack__'
from datetime import date
from enum import Enum
from typing import Optional, List
from fastapi import APIRouter, Query, Path, Body, Cookie, Header
from pydantic import BaseModel, Field
app03 = APIRouter()
"""Path Parameters and Number Validations 路径参数和数字验证"""
@app03.get("/path/parameters")
def path_params01():
return {"message": "This is a message"}
@app03.get("/path/{parameters}") # 函数的顺序就是路由的顺序
def path_prams02(parameters: str):
return {"message": parameters}
class CityName(str, Enum):
Beijing = "Beijing China"
Shanghai = "Shanghai China"
@app03.get("/enum/{city}") # 枚举类型的参数
async def latest(city: CityName):
if city == CityName.Shanghai:
return {"city_name": city, "confirmed": 1492, "death": 7}
if city == CityName.Beijing:
return {"city_name": city, "confirmed": 971, "death": 9}
return {"city_name": city, "latest": "unknown"}
@app03.get("/files/{file_path:path}") # 通过path parameters传递文件路径
def filepath(file_path: str):
return f"The file path is {file_path}"
@app03.get("/path_/{num}")
def path_params_validate(
num: int = Path(..., title="Your Number", description="不可描述", ge=1, le=10),
):
return num
"""Query Parameters and String Validations 查询参数和字符串验证"""
@app03.get("/query")
def page_limit(page: int = 1, limit: Optional[int] = None): # 给了默认值就是选填的参数，没给默认值就是必填参数
if limit:
return {"page": page, "limit": limit}
return {"page": page}
@app03.get("/query/bool/conversion") # bool类型转换：yes on 1 True true会转换成true, 其它为false
def type_conversion(param: bool = False):
return param
@app03.get("/query/validations") # 长度+正则表达式验证，比如长度8-16位，以a开头。其它校验方法看Query类的源码
def query_params_validate(
value: str = Query(..., min_length=8, max_length=16, regex="^a"), # ...换成None就变成选填的参数
values: List[str] = Query(["v1", "v2"], alias="alias_name")
): # 多个查询参数的列表。参数别名
return value, values
"""Request Body and Fields 请求体和字段"""
class CityInfo(BaseModel):
name: str = Field(..., example="Beijing") # example是注解的作用，值不会被验证
country: str
country_code: str = None # 给一个默认值
country_population: int = Field(default=800, title="人口数量", description="国家的人口数量", ge=800)
class Config:
schema_extra = {
"example": {
"name": "Shanghai",
"country": "China",
"country_code": "CN",
"country_population": 1400000000,
}
}
@app03.post("/request_body/city")
def city_info(city: CityInfo):
print(city.name, city.country) # 当在IDE中输入city.的时候，属性会自动弹出
return city.dict()
"""Request Body + Path parameters + Query parameters 多参数混合"""
@app03.put("/request_body/city/{name}")
def mix_city_info(
name: str,
city01: CityInfo,
city02: CityInfo, # Body可以是多个的
confirmed: int = Query(ge=0, description="确诊数", default=0),
death: int = Query(ge=0, description="死亡数", default=0),
):
if name == "Shanghai":
return {"Shanghai": {"confirmed": confirmed, "death": death}}
return city01.dict(), city02.dict()
@app03.put("/request_body/multiple/parameters")
def body_multiple_parameters(
city: CityInfo = Body(..., embed=True), # 当只有一个Body参数的时候，embed=True表示请求体参数嵌套。多个Body参数默认就是嵌套的
confirmed: int = Query(ge=0, description="确诊数", default=0),
death: int = Query(ge=0, description="死亡数", default=0),
):
print(f"{city.name} 确诊数：{confirmed} 死亡数：{death}")
return city.dict()
"""Request Body - Nested Models 数据格式嵌套的请求体"""
class Data(BaseModel):
city: List[CityInfo] = None # 这里就是定义数据格式嵌套的请求体
date: date # 额外的数据类型，还有uuid datetime bytes frozenset等，参考：https://fastapi.tiangolo.com/tutorial/extra-data-types/
confirmed: int = Field(ge=0, description="确诊数", default=0)
deaths: int = Field(ge=0, description="死亡数", default=0)
recovered: int = Field(ge=0, description="痊愈数", default=0)
@app03.put("/request_body/nested")
def nested_models(data: Data):
return data
"""Cookie 和 Header 参数"""
@app03.get("/cookie") # 效果只能用Postman测试
def cookie(cookie_id: Optional[str] = Cookie(None)): # 定义Cookie参数需要使用Cookie类，否则就是查询参数
return {"cookie_id": cookie_id}
@app03.get("/header")
def header(user_agent: Optional[str] = Header(None, convert_underscores=True), x_token: List[str] = Header(None)):
"""
有些HTTP代理和服务器是不允许在请求头中带有下划线的，所以Header提供convert_underscores属性让设置
:param user_agent: convert_underscores=True 会把 user_agent 变成 user-agent
:param x_token: x_token是包含多个值的列表
:return:
"""
return {"User-Agent": user_agent, "x_token": x_token}