Added Talkspace templates, made some changes to Skuid's script and started the Blacklane script

Scripts/Skuid_LPs/find_completed.py

@@ -2,6 +2,39 @@ from collections import Counter
 import pandas as pd 
 
 basecsv = "/Users/normrasmussen/Documents/Northpass/Scripts/Skuid_LPs/skuid_05lp.csv"
+lpcsv = "/Users/normrasmussen/Documents/Northpass/Scripts/Skuid_LPs/skuidlps.csv"
+
+'''
+Example multivalue dictionary
+
+dict = {key1: [value1, value2, value3, value4],
+        key2: [value5, value6, value 7],
+        }
+
+So this could be used for each learning path. In other words:
+
+learning_paths = {'01:Skuid Ethos' : ["Congratulations", "Create", "Skuid Resources"]} etc etc 
+
+Ideally, we will add Alexa's "levels" in this dictionary as well. Could we do:
+
+learning_paths = {'Level_1': [{'01:Skuid Ethos' : ["Congratulations", "Create", "Skuid Resources"]},
+                              {'02:Composer' : ["Overview", "Get Started with Composer", "Manage Pages"}]
+                              {'03:Design System Studio' : ["Get Started with Design Systems", etc etc]}, 
+                  'Level_2': [{'10 - Data' : ["Tips to Optimize", "Smarter Conditions"]},
+                              {'11-Components': ["Battle", "Engage"]}, 
+                  ]       
+                }
+
+How to create this by automation?
+'''
+
+def lpLevels(lpcsv):
+    levels = pd.read_csv(
+            lpcsv,
+            index_col=False,
+            )
+    print(levels.Level.unique())  # Print only unique values from the Level column
+    
 
 def mainFunc(basecsv):
     readData = pd.read_csv(
@@ -27,5 +60,6 @@ def mainFunc(basecsv):
     #            finalNames.append(name)
 
 if __name__ == "__main__":
-    mainFunc(basecsv)
+    #mainFunc(basecsv)
+    lpLevels(lpcsv)