Worked on Walmart script. This will also be useful for the Flask app

Scripts/API_Tests/get_courses.py

@@ -1,14 +1,12 @@
 import requests
-import json
+import pandas as pd
 import Apikeys
 
-
-
 def get_course():
     count = 0
     apiKey = Apikeys.walmartprod
     courses = []
-    category_ids = []
+    course_dict = {}
 
     while True:
         count += 1
@@ -18,31 +16,60 @@ def get_course():
         data = response.json()
         nextlink = data["links"]
 
-        jsonResponse = response.json()
-        jsonResponse = json.dumps(jsonResponse, indent=2)
-
         for response in data["data"]:
             status = response["attributes"]["status"]
             uuid = response["id"]
             name = response["attributes"]["name"]
+            course_dict = {
+                    "id": uuid,
+                    "name": name,
+                    "status": status,
+                    "url": f"https://walmart.northpass.com/app/courses/{uuid}"
+                    }
+
+            # FIX: Up until here, each course gets read to the terminal.
+            # FIX: After this, something is being overwritten.
 
-            course_url = f"https://walmart.northpass.com/app/courses/{uuid}"
             cat_id = response["relationships"]["categories"]["data"]
+            cats = []
+
+            # Pseudo-code
+            if len(cat_id) == 0:
+                pass
+            elif len(cat_id) == 1:
+                get_cat_name(cat_id)
+                course_dict(update({"categories": cat}))
+            else:
+                for item in cat_id:
+                    # make api call
+                    # return the name
+                    update the dictionary
+
             for item in cat_id:
+                cats = []
                 categoryid = item["id"]
-                print(categoryid)
-            courses.append(name)
-            with open("/Users/normrasmussen/Downloads/courses.csv", "a") as write:
-                write.write("\n")
-                write.write(name+","+status+","+uuid)
+                # TODO: Maybe split the api call to a separate function?
+                url = f"https://api2.northpass.com/v2/categories/{categoryid}"
+                headers = {"accept": "application/json", "X-Api-Key": apiKey}
+                cat_resp = requests.get(url, headers=headers)
+                cat_data = cat_resp.json()
+                cat_name = cat_data["data"]["attributes"]["name"]
+                cats.append(cat_name)
+            course_dict.update({"categories": cats})
+        courses.append(course_dict)
 
         if "next" not in nextlink:
             break
-    #print(courses)
-# https://walmart.northpass.com/app/courses/
 
-def get_category_name(category_ids):
+    write_to_csv(courses)
+
+def get_cat_name(item):
     pass
 
+
+def write_to_csv(courses):
+    df = pd.DataFrame.from_dict(courses)
+    df.to_csv("/Users/normrasmussen/Downloads/walmart_courses.csv")
+
 if __name__ == "__main__":
     get_course()