Artera and Blacklane notes. Added some todos. Had to pull category IDs for Walmart.

Scripts/API_Tests/get_category_ids.py

@@ -3,11 +3,11 @@ import os
 import Apikeys
 import requests
 
-apikey = Apikeys.CIN7
+apikey = Apikeys.WALMARTPROD
 cmd = "touch ~/Downloads/Spark_Categories.csv"
 
 os.system(cmd)
-url = "https://api.northpass.com/v2/categories?limit=100"
+url = "https://api2.northpass.com/v2/categories?limit=100"
 headers = {
     "accept": "application/json",
     "X-Api-Key" : apikey,
@@ -18,12 +18,12 @@ response = response.json()
 for item in response['data']:
     id = item['id']
     name = item['attributes']['name']
-    with open('/Users/normrasmussen/Downloads/Cin7.csv', 'a', newline='') as csvfile:
+    with open('/Users/normrasmussen/Downloads/Spark_Categories.csv', 'a', newline='') as csvfile:
         writer = csv.writer(csvfile, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL)
         writer.writerow([name, id,])
     # print(f"Category: {name} and ID: {id}")
 
-with open('/Users/normrasmussen/Downloads/Cin7.csv', 'r') as readfile:
+with open('/Users/normrasmussen/Downloads/Spark_Categories.csv', 'r') as readfile:
     reader = csv.reader(readfile)
     for row in reader:
         print(row)

Scripts/API_Tests/medialib_csv.py

@@ -21,7 +21,7 @@ def getMedia(APIKEY, URL):
         file_name = data["attributes"]["file_name"]
         created_date = data["attributes"]["created_at"]
         id_val = data["id"]
-        if "2024-03" in created_date:
+        if "2024-03-12" in created_date:
             if "scorm" in file_type:
                 data_tuple = (id_val, created_date, file_name)
                 scorm_ids.append(id_val)