向 DRF 简单 JWT 有效负载添加声明

2022-12-30Python开发问题
4

本文介绍了向 DRF 简单 JWT 有效负载添加声明的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

问题描述

在 POST 到自定义视图时使用

因此,我们可以看到令牌的第二部分是有效负载 - 包含声明.

我探索了

<代码>{token_type":访问",exp":1590914198,jti":ad6f76af1f8e4ebe8b6cf9b480d3f662",用户 ID":11,"iat": 1590917498,用户":蒂亚戈",日期":2020-05-31"}

Using djangorestframework_simplejwt library, when POST to a custom view

#urls.py
path('api/token/', MyTokenObtainPairView.as_view(), name='token_obtain'),

#views.py
class MyTokenObtainPairView(TokenObtainPairView):
    serializer_class = MyTokenObtainPairSerializer

I'm able to get a the following access token

eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzUxMiJ9.eyJ0b2tlbl90eXBlIjoiYWNjZXNzIiwiZXhwIjoxNTkwOTEwNjg0LCJqdGkiOiI3M2MxYmZkOWNmMGY0ZjI3OTY4MGY0ZjhlYjA1NDQ5NyIsInVzZXJfaWQiOjExfQ.5vs0LmNGseU6rtq3vuQyApupxhQM3FBAoKAq8MUukIBOOYfDAV9guuCVEYDoGgK6rdPSIq2mvcSxkILG8OH5LQ

By going to https://jwt.io/ I can see the payload is currently

{
  "token_type": "access",
  "exp": 1590910684,
  "jti": "73c1bfd9cf0f4f279680f4f8eb054497",
  "user_id": 11
}

So, we can see that the second part of the token is the payload - containing the claims.

I've explored how to add more information to the Response body and now would like to know how to customize the Payload data by adding iat claim, username and today's date.

解决方案

As you already created a subclass for the desired view (MyTokenObtainPairView) and a subclass for its corresponding serializer (MyTokenObtainPairSerializer), add the following to the serializer

class MyTokenObtainPairSerializer(TokenObtainPairSerializer):

    ...

    @classmethod
    def get_token(cls, user):
        token = super().get_token(user)

        # Add custom claims
        token['iat'] = datetime.datetime.now()
        token['user'] = user.username
        token['date'] = str(datetime.date.today())

        return token

Then, when you POST to that same location, you'll get an access token like this

eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzUxMiJ9.eyJ0b2tlbl90eXBlIjoiYWNjZXNzIiwiZXhwIjoxNTkwOTE0MTk4LCJqdGkiOiJhZDZmNzZhZjFmOGU0ZWJlOGI2Y2Y5YjQ4MGQzZjY2MiIsInVzZXJfaWQiOjExLCJpYXQiOjE1OTA5MTc0OTgsInVzZXIiOiJ0aWFnbyIsImRhdGUiOiIyMDIwLTA1LTMxIn0.-5U9P-WWmhlOenzCvc6b7_71Tz17LyNxe_DOMwwqH4RqrNsilVukEcZWFRGupLHRZjIvPya2QJGpiju9ujzQuw

Using JWT you can see the Payload changing accordingly

{
  "token_type": "access",
  "exp": 1590914198,
  "jti": "ad6f76af1f8e4ebe8b6cf9b480d3f662",
  "user_id": 11,
  "iat": 1590917498,
  "user": "tiago",
  "date": "2020-05-31"
}

这篇关于向 DRF 简单 JWT 有效负载添加声明的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

The End

相关推荐

在xarray中按单个维度的多个坐标分组
groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)...
2024-08-22 Python开发问题
15

Pandas中的GROUP BY AND SUM不丢失列
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)...
2024-08-22 Python开发问题
17

GROUP BY+新列+基于条件的前一行抓取值
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)...
2024-08-22 Python开发问题
18

PANDA中的Groupby算法和插值算法
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)...
2024-08-22 Python开发问题
11

PANAS-基于列对行进行分组,并将NaN替换为非空值
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)...
2024-08-22 Python开发问题
10

按10分钟间隔对 pandas 数据帧进行分组
Grouping pandas DataFrame by 10 minute intervals(按10分钟间隔对 pandas 数据帧进行分组)...
2024-08-22 Python开发问题
11