Add users to portalgroups like df

mylktea

Hi,

I have a df with cl1 and cl2. cl1 displays the group name and cl2 the users which should be added to the group in cl1.

I am trying to loop through the df but got issues when the users should be added to the group.

Also when I leave out the index at groups.add_users(), it gives me the error:

'list' object has no attribute 'add_users'

for i in df['c1']:
    groups = gis.groups.search('title: "'+i+'"', '')
    print(groups)

for row in df['c2']:
    for i in groups:
        groups[i].add_users(row)

e.g.: 

cl1	cl2
group_xy	user_1, user_2
group_b	user_3, user_4, user_5

 

Am I forgetting something? Would be very grateful if anyone know of a solution or what I am doing wrong.

Thank you!

Clubdebambos

Hi @mylktea 

This will add the users in cl2 to the groups in cl1

group_lst = df["cl1"].tolist()

## for each group name in the list
for group in group_lst:
    ## get the string content of cl2 cell
    users = df.loc[df['cl1'] == group, 'cl2'].iloc[0]
    ## remove any spaces (this is to remove the space after each 
    ## comma in your cl2) omit the .replace if your usernames contain spaces
    ## easier to make sure the usernames in cl2 follow 
    ## User_1,User_2,User_3 with no spaces in the text
    ## the .split creates the list to add users
    users = users.replace(" ", "").split(",")
    add2group = portal.groups.search(group)[0]
    ## by printing you will given a dictionary of any failures to add
    print(add2group.add_users(users))