增加日志文件
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# '''stu = [
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# {'sid':3,'name':'庞崽子','age':18,'sex':'女','address':'广东省深圳市龙岗区'},
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# {'sid':1,'sex':'女','name':'pzz','age':20,'address':'广东省广州市'},
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# {'sid':2,'name':'啊崽','sex':'男','age':30,'address':'广东省深圳市龙岗区'}
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# ]
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#
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# # 定义用户存储列表
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# user_passwd = []
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#
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# from fastapi import FastAPI,Query,Path,Body,Form,File,UploadFile
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# from pydantic import BaseModel,Field,HttpUrl
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# from typing import Optional,Union,Literal
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# from datetime import date,datetime
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# from uuid import UUID
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#
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# ap=FastAPI()
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#
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# @ap.get('/',summary='测试接口',tags=['测试用'])
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# def test():
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# return '测试成功...'
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#
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# @ap.get('/students/{sid}',tags=['学生'],summary='学生信息查询接口',description='接口更加详细的解释说明...')
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# def get_students(sid:int = Path(ge=1,description='查询的id') ):
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# return [i for i in stu if i['sid'] == sid]
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#
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# # 定义请求体模型
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# class Stu(BaseModel):
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# sid:int|None|str = 1
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# name:str|None = Field(default='sz',min_length=2,max_length=50)
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# age:int = Field(default=0,ge=0,le=150,description='年龄属性')
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# sex:Literal['男','女'] # 限制sex属性只能是男、女
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# address:str|None = None
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# birthday:date
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# url:HttpUrl
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# date_creat_date:datetime
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#
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# @ap.post('/students',tags=['学生'],summary='学生信息新增接口')
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# def add_students(s:Stu):
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# print( s )
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# print(type(s))
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# print('拿到类属性：',s.sid,s.name,s.address)
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# print('将请求体模型的所有类属性解析成字典：',s.model_dump())
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# stu.append( s.model_dump() )
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# return s
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#
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# class StuUpdate(BaseModel):
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# name:str|None = None
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# age:int = None
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# sex:Literal['男','女']|None = None
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# address:str|None = None
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#
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# @ap.put('/students/{sid}',tags=['学生'],summary='学生信息更新接口')
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# def update_students(sid:int,s:StuUpdate):
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# d = s.model_dump(exclude_unset=True)
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# print( d ) # exclude_unset=True 只解析前端输入的键值对，默认值不会解析
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# for i in stu:
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# if i['sid'] == sid:
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# for k,v in d.items():
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# i[k] = v
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# return {'code':200,'detail':'OK'}
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#
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# @ap.delete('/students/{sid}',tags=['学生'],summary='学生信息删除接口')
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# def delete_students(sid:int):
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# for i in stu:
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# if i['sid'] == sid:
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# stu.remove(i)
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# return {'code':200,'detail':'OK'}
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#
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# # 修改第二个新增接口，路径改成 /students/add 避免路由冲突
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# @ap.post('/students/add',tags=['新增学生请求体'],summary='添加')
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# async def add_students2(stu:Stu):
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# print('请求体：',stu,type(stu))
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# print('打印StuInfo的属性',stu.sid,stu.name,stu.age)
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# print('通过属性字典来查看：', stu.__dict__)
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# print('通过model_dump来解析成字典：',stu.model_dump(mode="json"))
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# return stu
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#
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# @ap.get('/users',tags=['用户信息'])
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# def get_students(user_passwd=None):
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# return user_passwd
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#
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# class User(BaseModel):
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# user:str
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# passwd:str
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#
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# # 用户注册，改成JSON方式，移除Form()
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# @ap.post('/users',tags=['用户注册'])
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# def user_register(user:User):
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# user_passwd.append({'user':user.user,'passwd':user.passwd})
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# return {'code':200,'detail':'OK'}
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# @ap.post('/files1')
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# def add_file(f:bytes=File(...)):
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# print('打印二进制字符节：',f)
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# print('将二进制字节码成utf-8字符集:',f.decode('utf-8'))
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# with open('test.txt','wb') as file:
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# file.write(f)
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# @ap.post('/files2')
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# async def add_file(f:UploadFile):
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# print('uploadfile上传文件，读取该对象：',f)
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# print('文件名称：',f.filename)
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# text=await f.read()
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# print('读取的二进制字节内容：', text)
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# print('读取的正常字符内容：', text.decode('utf-8'))
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# with open(f.filename,'wb') as file:
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# file.write(text)
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#
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# if __name__ == '__main__':
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# import uvicorn
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# uvicorn.run("log:ap",host='127.0.0.1',port=12345)
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# '''
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# 【day20作业】
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# 把课上的笔记内容理清，再做下面的作业！
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from email.policy import default
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from idlelib.query import Query
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import datetime
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# import File
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# 1.阐述下你对restful规范的理解
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'''①restful规范不是技术约束，而是一种开发习惯规范而已
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②restful面向资源开发，所以接口的路径名字要以资源的名字书写，见名知意，资源是复数时，要加上s代表单词是复数
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③restful规范不同方法的接口，定位不一样；'''
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# 2.什么是路径参数？查询参数？
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'''①路径参数：写在路径里面可变的变量参数！可以动态输入接收，用/students/{id}
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②查询参数：用来查询获取资源的参数，在url里面是这么体现的：http://地址/路径？查询参数query'''
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# 3.get接口跟post接口有什么区别？
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'''①get接口是用来获取资源，接口可以直接在浏览器地址栏里访问，没有请求体
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②post接口是用来新增资源的，接口不能直接在浏览器地址栏访问，有请求体，请求体携带的数据不能直接看到'''
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# 4.Path() Query() Field() 三者的区别和用途
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'''Path() 用来做路径参数的校验约束！
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Query() 用来做查询参数的校验约束！
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Field() 用来做请求体模型属性的校验约束！'''
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# 5.根据要求完成如下接口
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# ①POST 接口 /login/{session_id}，路径参数session_id要校验必须是字母跟数字组合，且长度要大于10字符
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# ②请求体是个Form表单类型，属性包含：username（字符串 3-20 位,字母开头）、passwd（字符串 6-20 位）、is_ok（布尔）
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# ③功能函数还要有查询参数usertype，类型是 int
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# ④返回登录 username属性、usertype参数值、跟is_ok的json格式
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'''from ai import FastAPI,Form,Path,Query
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ap=FastAPI()
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@ap.post('/login/{session_id}')
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async def login_session(
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session_id: str = Path(min_length=11, pattern='^[a-zA-Z0-9]+$'),
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username: str = Form(..., min_length=3, max_length=10, pattern='^[a-zA-Z].*'),
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password: str = Form(..., min_length=6, max_length=20),
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is_ok: bool = Form(),
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usertype: int = Query()
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):
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print('返回的打印有：',session_id,username,is_ok,usertype)
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return {'username':username,'is_ok':is_ok,'usertype':usertype}
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if __name__ == '__main__':
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import uvicorn
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uvicorn.run("log:ap",host='127.0.0.1',port=12345)'''
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# 6.根据要求完成如下接口
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# ①GET 接口 /users/{user_id}
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# ②user_id 必须 ≥ 1
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# ③返回用户信息
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'''@ap.get( '/users/{user_id}' )
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async def get_users(user_id:int = Path(...,ge=1)):
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return {"user_id":user_id}'''
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# 7.创建商品的接口POST请求
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# 需求：
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# ①商品名属性：2-50 字符，
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# ②价格属性：≥ 0
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# ③库存属性：≥ 0
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# ④分类属性：非空
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# ⑤返回值是该商品的全部信息
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'''from fastapi import FastAPI,Form,Path
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from pydantic import BaseModel
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from datetime import datetime,date
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ap=FastAPI()
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class Product(BaseModel):
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product_id:int=Path(min_length=2,max_length=50),
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product_price:float=Form(...,ge=0),
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product_num:str=Form(...,ge=0),
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product_type:str
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@ap.post( '/products' )
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async def add_products(p:Product):
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return p
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if __name__ == '__main__':
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import uvicorn
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uvicorn.run("log:ap",host='127.0.0.1',port=12345)'''
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# 8.定义一个学生列表的全局变量 stu=[] 来存放学生信息，teac = [] 来存老师信息，老师跟学生的信息都是字典的形式存再列表里，要求完成以下接口需求
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# ①定义一个请求体student模型，用来创建新增学生的信息到stu里，包含属性sid（int，默认值none）、sname（str）、age（默认值none，大于等于0）、sex（性别，只能是'男''女'）
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# 、hobby（set类型，元素是str，多个爱好）、create_data(数据创建时间，datetime类)，编写post请求的接口，传入数据，返回学生属性json
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'''from FastApi import FastAPI, Query
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from pydantic import BaseModel, Field
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from typing import Literal
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from datetime import datetime, date
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from enum import Enum
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Stu = [
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{'sid': 3, 'sname': '庞崽子', 'age': 18, 'sex': '女', 'address': '广东省深圳市龙岗区'},
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{'sid': 1, 'sname': 'pzz', 'age': 20, 'sex': '女', 'address': '广东省广州市'},
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{'sid': 2, 'sname': '啊崽', 'age': 30, 'sex': '男', 'address': '广东省深圳市龙岗区'},
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]
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stu = [] # 新增学生存这里
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teac = [] # 老师存这里
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ap = FastAPI()
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from enum import Enum
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class SexEnum(str, Enum):
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f = '女'
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m = '男'
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class Student(BaseModel):
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sid: int | None = None
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sname: str = Field(..., min_length=1, max_length=20)
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age: int | None = Field(None, ge=0)
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sex: SexEnum | None = None
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hobby: set[str]
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create_date: date
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# ②基于stu学生列表查询，编写一个get请求，可以通过名字、性别（只能男或女）、
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# 年龄（要有范围，0-120）来查询stu里的学生信息，返回值是查询命中的学生信息。如果没有任何的参数，那么就返回所有的学生信息
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@ap.get('/',summary='测试接口',tags=['测试用'])
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def test():
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return '测试成功...'
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@ap.post('/students')
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def add_students(s:Student):
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print(s.model_dump())
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stu.append(s.model_dump())
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@ap.get("/students")
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async def get_students(
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sname: str | None = None,
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sex: SexEnum | None = None,
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age: int |None= Query(default=None,ge=0,le=None),
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):
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stu_tmp = []
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for i in Stu:
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if sname and sname not in i["sname"]:
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continue
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if sex and i["sex"] != sex.value:
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continue
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if age is not None and i["age"] :
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continue
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stu_tmp.append(i)
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return stu_tmp
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# ③定义一个请求体teacher模型，用来创建添加老师信息的到teac列表里，
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# 有属性name（str或none）、salary（float）、hiredate（date 入职时间）、
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# stu（使用如上的student类模型，嵌套，表示所带的学生），返回值是teac列表的所有信息
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class teacher(BaseModel):
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sname:str|None=None
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salary:float
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hiredate:date
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stu:Student
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@ap.post('/teachers', summary='新增老师')
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async def add_teachers(t: teacher):
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teac.append(t.model_dump())
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return teac
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if __name__ == '__main__':
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import uvicorn
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uvicorn.run("log:ap",host='127.0.0.1',port=12345)'''
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# 9.编写两个文件上传的接口
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# ①利用bytes字节流类型上传文件，实现多文件上传，并将文件的内容保存到当前目录，保存的文件名字自定义
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# ②利用uploadfile类型上传文件，实现多文件上传，并将文件保存到当前目录，文件名字原来叫什么名字，保存就叫什么名字
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# ③总结下bytes跟uploadfile两种文件上传的区别
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'''from fastapi import FastAPI, Query, UploadFile, File
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ap = FastAPI()
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@ap.post("/files/bytes")
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async def add_bytes_files(f:list[bytes]=File()):
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for i in range( len(f) ):
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print('解码 ：',f[i].decode('utf-8') )
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with open( f'第{i+1}个文件.txt','wb' ) as e:
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e.write(f[i])
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return e
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@ap.post("/files/uploadfile")
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async def add_uploadfile(f:list[UploadFile]):
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print(f)
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for i in f:
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print('文件名字:',i.filename)
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text = await i.read()
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print( '文件的内容：',text.decode('utf-8') )
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with open(i.filename,'wb') as ff:
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ff.write(text)
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return f
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if __name__ == '__main__':
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import uvicorn
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uvicorn.run("log:ap",host='127.0.0.1',port=12345)'''
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# 10.请总结下fastapi接口编写时，使用pydantic请求体模型的流程
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'''①导入pydantic里的BaseModel基类
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②编写自定义的请求体模型，继承BaseModel基类
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③定义模型的类属性，使用Field()来约束校验属性的数据
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④引用时直接 形参:请求体模型'''
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