Reorged notes, ready for the next step. Glassdoor notes. Some small script changes.

Scripts/API_Tests/get_courses.py

@@ -2,7 +2,7 @@ import requests
 import pandas as pd
 import Apikeys
 
-apiKey = Apikeys.terminus_employee
+apiKey = Apikeys.walmartprod
 course_dict = {}
 
 
@@ -12,7 +12,7 @@ def get_course():
 
     while True:
         count += 1
-        url = f"https://api.northpass.com/v2/courses?page={count}"
+        url = f"https://api2.northpass.com/v2/courses?page={count}"
         print(url)
         headers = {"accept": "application/json", "X-Api-Key": apiKey}
         response = requests.get(url, headers=headers)
@@ -23,7 +23,7 @@ def get_course():
             status = response["attributes"]["status"]
             uuid = response["id"]
             name = response["attributes"]["name"]
-            build_url = response["links"]["builder"]["href"]
+            # build_url = response["links"]["builder"]["href"]
             course_dict = {
                 "id": uuid,
                 "name": name,
@@ -49,7 +49,7 @@ def get_cat_name(cat_id, course_dict, courses):
         pass
     elif len(cat_id) == 1:
         categoryid = cat_id[0]["id"]
-        url = f"https://api.northpass.com/v2/categories/{categoryid}"
+        url = f"https://api2.northpass.com/v2/categories/{categoryid}"
         cat_resp = requests.get(url, headers=headers)
         cat_data = cat_resp.json()
         cat_name = cat_data["data"]["attributes"]["name"]
@@ -59,7 +59,7 @@ def get_cat_name(cat_id, course_dict, courses):
     else:
         for item in cat_id:
             categoryid = item["id"]
-            url = f"https://api.northpass.com/v2/categories/{categoryid}"
+            url = f"https://api2.northpass.com/v2/categories/{categoryid}"
             cat_resp = requests.get(url, headers=headers)
             cat_data = cat_resp.json()
             cat_name = cat_data["data"]["attributes"]["name"]
@@ -76,7 +76,7 @@ def get_cat_name(cat_id, course_dict, courses):
 
 def write_to_csv(courses):
     df = pd.DataFrame.from_dict(courses)
-    df.to_csv("/Users/normrasmussen/Downloads/terminus_courses.csv")
+    df.to_csv("/Users/normrasmussen/Downloads/walmart_course.csv")
 
 
 if __name__ == "__main__":

Scripts/Auto_Scrape_Screenshots/combine_to_pdf.py

@@ -6,7 +6,6 @@ from datetime import date
 
 currentdir = "/Users/normrasmussen/Documents/Work/Scripts/Auto_Scrape_Screenshots/"
 
-
 def find_pictures(currentdir):
     files = []
     listfiles = glob.glob(currentdir + "*.png")

Scripts/Backup_Notes_Scripts/reorg_notes.py

@@ -0,0 +1,21 @@
+from pathlib import Path
+
+currentdir = "/Users/normrasmussen/Documents/Work/CustomerNotes/"
+path_dir = Path("/Users/normrasmussen/Documents/Work/CustomerNotes/")
+
+def path_files(path_dir):
+    listfiles = list(path_dir.glob("**/*.md"))
+    print(f"Successfully made the '{path_dir}' directory.")
+    for file in listfiles:
+        strfile = str(file)
+        company = strfile.split("/")[6][:-3]
+        new_dir = path_dir / company
+        new_dir.mkdir()
+        file.rename(
+            f"/Users/normrasmussen/Documents/Work/CustomerNotes/{company}/{company}.md"
+        )
+        print(company)
+
+
+if __name__ == "__main__":
+    path_files(path_dir)