django认证系统(auth):
1.首先我们在新窗口中打开一个django项目,之后点击,
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*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" 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2.在这个界面中相当于使用了python manage.py 的管理命令,可以有提示的作用。
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" 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3.选择你要连接的数据库,然后运行migrate命令,由于我们没有进行记录操作(即makemigrations),所以产生的表都是django自带 的表。剪箭头号所指的就是我们认证系统所操作的表啦。
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" alt="" />
4.打开这张表看一下,一般我们用username(用户名),password(密码),is_superuser(是否为超级用户,是为1,不是为0),默认这张表的 字段可以为空。想用那个就传哪个。
5.之后再步骤2中的界面输入createsuperuser,创建一个超级用户,按要求输入,之后就可以发现出现了一行记录了,之后操作看代码。
6.auth,user的操作
from django.contrib import auth
auth.authenticate(useranme=user,password=pwd) #添加用户
auth.login(request,user) #写入session数据
auth.logout(request) #注销用户,清除session的数据 from django.contrib.auth.models import User #对表auth_user的操作
user = request.user #取到当前登陆的用户名称
user.is_authenticated() #验证当前用户是否存在
user= User.objects.create_user(username=user,password=pwd) #创建用户,把密码装换成一堆字符的形式,对明文进行加密。
7.登陆练习,注册练习。
#--------------------auth认证
from django.contrib import auth
# from django.contrib.auth.models import User
def login(request):
if request.method=="POST":
user=request.POST.get('user')
pwd = request.POST.get('passwd')
user=auth.authenticate(username=user,password=pwd)
print('user1:',request.user) #打印结果是AnonymousUser,因为没有设置session,即没有登陆
# #return user or AnonymousUser() 源码中这样写的.
#把password密码转成密文的然后去数据库过滤,如果查到了,返回一个对象(auth_user的对象),否则返回None
if user:
auth.login(request,user) #等价于你自己写request.session[],需要两个参数,用户名
print('user2:', request.user) #打印结果是当前用户
#request.user 可以取到当前用户登陆的对象。(request.user=user),如果用户不在登陆状态,request.user=AnonymousUser
#request.user 是个全局变量.
return redirect('/index/') return render(request,'login.html',locals()) from django.contrib.auth.models import User
def index(request):
user = request.user
# if not user.id:
# return redirect("/login/")
if not user.is_authenticated():return redirect("/login/")
username=user.username
return render(request,'index.html',locals()) def logout(request):
# request.session.flush() print('logout')
auth.logout(request)
#清除已注册的session,默认在django的session表中
return redirect('/login/')
#上方的User相当于auth_user那张表
def reg(request):
if request.method=="POST":
user=request.POST.get("user")
pwd=request.POST.get("pwd")
# print(user,pwd)
user= User.objects.create_user(username=user,password=pwd)
return redirect('/login/')
return render(request,'reg.html',locals())
views.py
from django.conf.urls import url
from django.contrib import admin
from app01 import views
urlpatterns = [
url(r'^admin/', admin.site.urls),
url(r'^login/', views.login),
url(r'^index/', views.index),
url(r'^logout/', views.logout),
url(r'^reg/',views.reg),
]
urls.py
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Title</title>
<script src="/static/jquery-3.3.1.js"></script>
</head>
<body> <form action="/login/" method="post">
{% csrf_token %}
<p>用户名:<input type="text" name="user" class="u_p" id="user">
<p>密码: <input type="password" name="passwd" class="u_p" id="passwd"></p>
<p><input type="submit" id="auth" value="提交"></p> </form> </body>
</html>
login.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Title</title>
<script src="/static/jquery-3.3.1.js"></script>
</head>
<body> <form action="/reg/" method="post">
{% csrf_token %}
<p>用户名:<input type="text" name="user" class="u_p" id="user">
<p>密码: <input type="password" name="pwd" class="u_p" id="passwd"></p>
<p><input type="submit" id="auth" value="提交"></p> </form> </body>
</html>
reg.gtml
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Title</title>
<script src="/static/jquery-3.3.1.js"></script>
</head>
<body>
<p>hello {{ user.username }}</p>
<a href="/logout/">注销</a> </body>
</html>
index.html
form组件:
form组件的优势:
1.重置数据,不会清空数据,比如你输入信息的时候,输错了,form组件会帮你保留已填的字段
2.校验方便。
1.form组件的使用,结合登陆操作来记录,基础:
有点类似创建数据库的表操作,也是一个类的形式,然后可以是实例化去使用
views.py中的form创建
from django import forms
from django.forms import widgets #更改功能
class LoginForm(forms.Form):
user=forms.CharField(label="用户名",min_length=3,max_length=8,
error_messages={"min_length":"太短","required":"必填"})
#在这个error_messages中可以定制错误信息,触发哪个错误就会输出那个错误信息,required是为空的时候出发的信息
#是设置这个标签的名字,min_length是对这个标签的限制条件,还有很多,根据类型的不同。
pwd=forms.CharField(label="密码",min_length=5,widget=widgets.PasswordInput(attrs={"class":"form-control"}))
#在这个widget后面加上attrs可以在里面用字典型的形式添加类,来实现样式的改变.比如在使用bootstrap中添加
下方view.py中的login函数:
def login(request):
if request.method=="POST":
login_form=LoginForm(request.POST) #实例化一个对象,将数据直接扔进去就行,不符合的他自己会过滤掉
if login_form.is_valid(): #这个是判断的用户的输入,是否符合input标签的限制条件,是所有
print(login_form.cleaned_data) #将符合的数据放入cleaned_data这个字典中{"user":user} else:
# print(login_form.cleaned_data)
# print(login_form.errors)
# print(login_form.errors.get('user'))
#上面这些注释掉,用的时候,用模版语言在html中取.
return render(request, 'login_form.html', locals()) #注意这个返回值和下边这个不一样,一个有值,一个没值.
# from组件的功能:1渲染标签
login_form=LoginForm() #这里是一个空的值。
return render(request,'login_form.html',locals())
get请求login_form=LoginForm()
post请求login_form=LoginForm(request.POST)
html文件
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Title</title>
</head>
<body>
{#第一种,不是太灵活#}
{#<form action="" method="post" novalidate>#}
{# novalidate选项阻止浏览器私自给我做校验 #}
{# {% csrf_token %}#}
{# {{ login_form.as_p }}#}
{# <input type="submit" value="提交">#}
{#</form>#}
{#第二种,灵活一般用第二种#}
<form action="" method="post" novalidate>
{# novalidate选项阻止浏览器私自给我做校验 #}
{% csrf_token %}
<div>
<label for="">{{ login_form.user.label }}</label>
{{ login_form.user }} <span style="color: red">{{ login_form.errors.user.0 }}</span>
{# 因为login_form.erros.user取出的是一个列表,所以需要加索引,因为模版语言的话,仅仅把能渲染出来的东西渲染出来 #}
</div>
<div>
<label for=""> {{ login_form.pwd.label }}</label>
{{ login_form.pwd }} <span>{{ login_form.errors.pwd.0 }}</span>
</div> <input type="submit" value="提交">
</form> </body>
</html>
2.form组件的挂钩的使用:
放在form的class中。 from django.core.exceptions import NON_FIELD_ERRORS,ValidationError ###局部钩子,必须按照格式写,内部只认clean_%s %x 的形式,抛出异常只能是ValidationError,源代码只能捕获ValidationError
def clean_user(self):
val = self.cleaned_data.get('user')
if not val.isdigit():
return val #返回val值放入通过字典中.
else:
raise ValidationError("用户名不能是纯数字") #之后异常会出现在login.html中的span标签中。
详细信息