Cin7 Partners instance downloaded. Crossed off a bunch of todos. Finished Anthology's groups to courses extract script.

Scripts/API_Tests/get_courses_from_groups.py

@@ -2,8 +2,9 @@ import Apikeys
 import requests
 import pprint
 import csv
+import pandas as pd
 
-pp= pprint.PrettyPrinter(indent=4)
+pp = pprint.PrettyPrinter(indent=4)
 APIKEY = Apikeys.ANTHOLOGY
 HEADERS = {
     "accept": "application/json",
@@ -11,66 +12,71 @@ HEADERS = {
 }
 BASEURL = "https://api.northpass.com/v2/"
 GROUPS = [
-"Accreditation",
-"Anthology 101",
-"Baseline",
-"Course Evaluations",
-"Engage",
-"Evaluate",
-"Finance & HCM",
-"Learn",
-"Portfolio",
-"Power BI",
-"Raise",
-"Reach",
-"Student",
+    "Accreditation",
+    "Anthology 101",
+    "Baseline",
+    "Course Evaluations",
+    "Engage",
+    "Evaluate",
+    "Finance & HCM",
+    "Learn",
+    "Portfolio",
+    "Power BI",
+    "Raise",
+    "Reach",
+    "Student",
 ]
 
+
 def group_ids():
     """
     Get the group Ids from a list of named groups.
     """
     url = "groups"
+    df = pd.DataFrame()
+    count = 0
+    courses = []
+    ids = []
     for group in GROUPS:
         filter = f"?filter[name][cont]={group} - ("
         urlreq = f"{BASEURL}{url}{filter}"
         response = requests.get(urlreq, headers=HEADERS)
         response = response.json()
 
-        for data in response['data']:
-            print(data['attributes']['name'])
-            id = data['id']
-            get_courses_in_groups(id)
+        for data in response["data"]:
+            group = data["attributes"]["name"]
+            id1 = data["id"]
+            group_tupe = (id1, group)
+            ids.append(group_tupe)
 
-def get_courses_in_groups(id):
-    """
-    From the IDs received above, list out all of the courses.
-    """
-    count = 0
-    courses = []
-    while True:
-        # count += 1
-        url = f"groups/{id}/courses?limit=100"
-        courseurl = f"{BASEURL}{url}"
+    for tupe in ids:
+        count += 1
+        id = tupe[0]
+        group = tupe[1]
+        url2 = f"groups/{id}/courses?limit=100?page={count}"
+        courseurl = f"{BASEURL}{url2}"
         coursereq = requests.get(courseurl, headers=HEADERS)
         coursedata = coursereq.json()
-        # nextlink = coursedata['links']
-        print(id)
-        # print(coursedata)
 
-        for data in coursedata['included']:
-            if data['attributes']['status'] == 'live':
-                name = data['attributes']['name']
-                id = data['attributes']['share_course_link'].split("/")[5]
-                enrollments = data['attributes']['enrollments_count']
-                created = data['attributes']['created_at']
-                updated = data['attributes']['updated_at']
+        for cdata in coursedata["included"]:
+            if cdata["attributes"]["status"] == "live":
+                name = cdata["attributes"]["name"]
+                courseid = cdata["attributes"]["share_course_link"].split("/")[5]
+                enrollments = cdata["attributes"]["enrollments_count"]
+                created = cdata["attributes"]["created_at"]
+                updated = cdata["attributes"]["updated_at"]
                 coursedict = {
-                    "name": name, "id": id, "enrollments": enrollments,
-                    "created at": created, "updated at": updated
+                    "group": group,
+                    "name": name,
+                    "id": courseid,
+                    "enrollments": enrollments,
+                    "created at": created,
+                    "updated at": updated,
                 }
-                courses.append(coursedict)
-        print(courses)
+            courses.append(coursedict)
+
+    pddata = df.from_records(courses)
+    pddata.to_csv("~/Downloads/Anthology_Course_IDs_Names.csv")
 
 
 if __name__ == "__main__":