Finalized Confluence Script and Started Skuid

Scripts/G2_Unenroll/fix_unenroll.py

@@ -1,81 +1,28 @@
-import requests
 from collections import Counter
 import pandas as pd 
 
-basecsv = "/Users/normrasmussen/Documents/Northpass/Scripts/G2_Unenroll/g2mca_112122.csv"
-apiKey = "JRDpCGQ7vSRiva6t5OkWDr5eJ" #G2
+basecsv = "/Users/normrasmussen/Documents/Northpass/Scripts/G2_Unenroll/skuid_05lp.csv"
 
-def mainFunc(basecsv, apiKey):
+def mainFunc(basecsv):
     readData = pd.read_csv(
             basecsv,
             index_col=False,
             )
-    readData.loc[readData['Course Name'].isin([
-            'G2 Profile Anatomy', 'Profile Performance & Lead Management', 
-            'Review Tracking & Brand Building', 'The Review Rundown'])]
-    extractedList = readData.loc[readData['Attempt Start'].isnull(),'Email'].tolist()
-    fourOccs = Counter(extractedList)
-    finalNames = []
-    for name, occurences in fourOccs.items():
-        if occurences == 4:
-            finalNames.append(name)
-    findUuids(finalNames, readData, apiKey)
+    parsedData = readData.drop_duplicates(subset='Course_Name', keep="first")
+    if parsedData.loc[readData['Course Name'].isin([
+                    'Get Started with Models - Level 1',
+                    'Configure Model Fields - Level 1',
+                    'Configure Model Conditions - Level 1',
+                    'Configure Model Actions - Level 1',
+                    'Manage Models - Level 1',
+                    'Intro to UI Only Fields - Level 1'])]:
+        extractedList = readData.loc[readData['Email'].tolist()
+        fourOccs = Counter(extractedList)
+        finalNames = []
+        for name, occurences in fourOccs.items():
+            if occurences == 6:
+                finalNames.append(name)
 
-def findUuids(finalNames, readData, apiKey):
-    emailUuid = []
-    uuidList = []
-    deactivateUuid = {}
-    try:
-        for name in finalNames:
-            baseUrlname = "https://api.northpass.com/v2/people?filter[email][eq]="
-            name = name
-            url = baseUrlname + f"{name}"
-            headers = {
-                "accept": "*/*",
-                "x-api-key": apiKey,
-                "content-type": "application/json",
-            }
-            response = requests.get(url, headers=headers)
-            response = response.json()
-            uuid = response["data"][0]["id"]
-            uuidList.append(uuid)
-            deactivateUuid.update({name: uuid})
-            emailUuid.append(deactivateUuid)
-    except:
-        print("An error occured")
-    finally:
-        print(deactivateUuid)
-        removeFromGroup(uuidList, apiKey)
-
-def removeFromGroup(uuidList, apiKey):
-    numRemoved = 0
-    badUuid = []
-    for uuid in uuidList:
-        uuidList = []
-        url = f"https://api.northpass.com/v2/people/{uuid}/relationships/groups"
-        headers = {
-            "accept": "application/json",
-            "content-type": "application/json",
-            "X-Api-Key": apiKey
-        }
-        payload = {"data": [
-        {
-            "id": "d78af2ad-a6c8-4016-90a4-fb00bcc67891",
-            "type": "membership-groups"
-        }
-    ]}
-        response = requests.delete(url, json=payload, headers=headers)
-        status = response.status_code
-        if response.status_code == 200:
-            print(f"UserID {uuid} okay to be deleted.")
-            numRemoved += 1
-            uuidList.append(uuid)
-        else:
-            print(f"Some other error {status} for {uuid}") 
-            badUuid.append(uuid)
-    print(f"Complete! {numRemoved} people removed from group.")
-    print("Bad UUIDS: ")
-    print(badUuid)
 
 if __name__ == "__main__":
-    mainFunc(basecsv, apiKey)
+    mainFunc(basecsv)

Scripts/G2_Unenroll/skuid_lp.py

@@ -0,0 +1,27 @@
+from collections import Counter
+import pandas as pd 
+
+basecsv = "/Users/normrasmussen/Documents/Northpass/Scripts/G2_Unenroll/skuid_05lp.csv"
+
+def mainFunc(basecsv):
+    readData = pd.read_csv(
+            basecsv,
+            index_col=False,
+            )
+    parsedData = readData.drop_duplicates(subset='Course_Name', keep="first")
+    if parsedData.loc[readData['Course Name'].isin([
+                    'Get Started with Models - Level 1',
+                    'Configure Model Fields - Level 1',
+                    'Configure Model Conditions - Level 1',
+                    'Configure Model Actions - Level 1',
+                    'Manage Models - Level 1',
+                    'Intro to UI Only Fields - Level 1'])]:
+        extractedList = readData.loc[readData['Email'].tolist()
+        fourOccs = Counter(extractedList)
+        finalNames = []
+        for name, occurences in fourOccs.items():
+            if occurences == 6:
+                finalNames.append(name)
+
+if __name__ == "__main__":
+    mainFunc(basecsv)