feat: Another simple example add users to a Looker group based on a csv.

examples/python/add_users_to_group_from_csv.py

@@ -0,0 +1,49 @@
+import looker_sdk
+import csv
+
+####Initialize API/SDK for more info go here: https://pypi.org/project/looker-sdk/
+from looker_sdk import methods, models40
+sdk = looker_sdk.init40("../looker.ini")
+
+#### GO TO ADMIN --> GROUPS AND FIND THE GROUP ID YOU WANT TO ADD THE PEOPLE TO. ADD IT BELOW
+### Alternative would be to use the search groups endpoint
+### Depending on the cleanliness of your source of emails, you may want to add more error handling
+### EG check for structure, add users without Looker accounts to an output file, or even pass them into another endpoint where you create an account. 
+
+
+def add_csv_of_users_to_group(group_name:str, file_path:str):
+    group = sdk.search_groups(name=group_name)
+    group = group[0]
+    if group:
+        data = []
+        i=0
+        with open(file_path) as f:
+            ## MAKE SURE YOU DOUBLE CHECK THE DELIMITER IN YOUR CSV
+            reader = csv.reader(f, delimiter=' ')
+            for row in reader:
+                data.append(str(row[i]))
+
+        ## loops through list and searches user
+        ## grabs user id and passes that through add user to group        
+        try:
+            for email in data:
+                for user in sdk.search_users(email=email):
+                    #print(user.email)
+                    if user.id:
+                        sdk.add_group_user(group_id=group.id, body=models40.GroupIdForGroupUserInclusion(user_id= user.id))
+                    else:
+                        pass
+
+        except KeyError:
+            print('Key error \n')
+            pass
+        except TypeError:
+            print('Type error \n')
+            pass
+        except IndexError:
+            print('Index error \n')
+            pass
+    else:
+        print("Group does not exist")
+## THE FILE NAME OF THE CSV WILL WORK IF IT IS IN THE SAME DIRECTORY
+add_csv_of_users_to_group("GROUPNAME", "test.csv")