Scripts for Anthology. Datasnipper notes.

CustomerNotes/DataSnipper/DataSnipper.md

@@ -339,6 +339,19 @@ API Endpoint:
 Issuer:
 * https://login.microsoftonline.com/43f1ba74-0140-48d7-9ded-17e6e43a6ef6/wsfed
 
-## 04-29-2024
-
+## 05-30-2024
 
+Health Scoring for DataSnipper
+* Started very sentiment based and everyone had a different sentiment
+* Zoom and CE bringing in data for new healthscores.
+* Zoom: if attendee, this improves score. Live attendee data being pulled.
+* All based on email domain - anyone with a domain can influence the health score
+* Courses: Enrolled or Completions
+* Health Scoring is strictly based on completions
+* Recent "middle step" of health score found some misalignments and found health scores are better than sentiment would lead them to believe.
+* Outside of client engagement, making the process more complex - activated in product, how many features being used, total activity numbers in use etc.
+* Ideally they would like to attach specific courses to features and track feature usage post course completion
+* Number of features being used has direct correlation to stickiness
+* KPIs are the health scores
+* Academy can negatively affect the score from the perspective if _no one_ accesses or completes a course.
+* 0-10, below 50% of people have completed a course, health score is 0

Scripts/API_Tests/get-group-ids.py

@@ -5,7 +5,7 @@ import Apikeys
 import json
 
 
-APIKEY = Apikeys.SANDATA
+APIKEY = Apikeys.ANTHOLOGY
 groups_dict = {}
 pp = pprint.PrettyPrinter(indent=4)
 
@@ -36,7 +36,7 @@ def get_groups(APIKEY):
     print(groups)
 
     with open(
-        "/Users/normrasmussen/Downloads/Sandata-Groups.csv", "a+", newline="\n"
+        "/Users/normrasmussen/Downloads/Anthology-Groups.csv", "a+", newline="\n"
     ) as csvfile:
         for group in groups:
             for key, value in group.items():

Scripts/API_Tests/get_courses_from_groups.py

@@ -12,6 +12,8 @@ HEADERS = {
 }
 BASEURL = "https://api.northpass.com/v2/"
 GROUPS = [
+    "Academic Economics",
+    "Academy Use/Navigation",
     "Accreditation",
     "Anthology 101",
     "Baseline",
@@ -27,6 +29,30 @@ GROUPS = [
     "Student",
 ]
 
+def all_groups():
+    """
+    Get all Group IDs
+    """
+    gids = []
+    group_count = 0
+    while True:
+        group_count += 1
+        url = f"https://api.northpass.com/v2/groups?page={group_count}"
+        gresponse = requests.get(url, headers=HEADERS)
+        gdata = gresponse.json()
+        gnext = gdata["links"]
+
+        for response in gdata["data"]:
+            group_id = response["id"]
+            group_name = response["attributes"]["name"]
+            group_tupe = (group_id, group_name)
+            print(group_tupe)
+            gids.append(group_tupe)
+
+        if "next" not in gnext:
+            break
+
+    get_courses(gids)
 
 def group_ids():
     """
@@ -48,6 +74,8 @@ def group_ids():
 
     get_courses(ids)
 
+    #portfolio t1 - dc50ca43-5071-45b3-bf42-e1e64416ffd0
+    #academy use/nav t1 - 3875a210-f86d-4b4a-a86a-980022374936
 
 def get_courses(ids):
     df = pd.DataFrame()
@@ -55,19 +83,20 @@ def get_courses(ids):
     for tupe in ids:
         id = tupe[0]
         group = tupe[1]
-        print(group)
+        print(f"Get Courses Function. Group:{ group } and id: {id}")
         for count in range(1, 10):
             url2 = f"groups/{id}/courses?limit=100&page={count}"
             courseurl = f"{BASEURL}{url2}"
             coursereq = requests.get(courseurl, headers=HEADERS)
             coursedata = coursereq.json()
+            print(coursedata)
             nextlink = coursedata["links"]
             for cdata in coursedata["included"]:
-                if cdata["attributes"]["status"] == "archived":
-                    coursedict = parse_data(cdata, group)
-                    print(f"Coursedict --> {coursedict} for page {count}")
-                    if coursedict is not None:
-                        courses.append(coursedict)
+                # if cdata["attributes"]["status"] == "archived":
+                coursedict = parse_data(cdata, group)
+                print(f"Coursedict --> {coursedict} for page {count}")
+                if coursedict is not None:
+                    courses.append(coursedict)
             if "next" not in nextlink:
                 break
 
@@ -96,4 +125,5 @@ def parse_data(cdata, group):
 
 
 if __name__ == "__main__":
-    group_ids()
+    # group_ids()
+    all_groups()