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VALID_USERNAME_PASSWORD_PAIRS for username, password and role

Previously, I only have username and password, so I make it
from this:

VALID_USERNAME_PASSWORD = {"abc": "abc", "welcome": "world"}

to this:

VALID_USERNAME_PASSWORD_PAIRS = df_userpwd.set_index('username')['password'].to_dict()

Currently, I have a list of username with password and role.

VALID_USERNAME_PASSWORD = {"test": {"password":"test", "role":"admin"}, "hello": {"password":"world", "role":"user"}}

So, if all the information is store in dataframe, how can I extract it from csv?

Solution

  • Due to my app.py has .get function, therefore, the below solution is workable for me:

    pwd.csv

    username password role
    test test admin
    hello world user

    code:

    
VALID_USERNAME_PASSWORD= pd.read_csv("pwd.csv").set_index('username').transpose().to_dict()


>>> {"test": {"password":"test", "role":"admin"}, "hello": {"password":"world", "role":"user"}}