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(
            basecsv,
            index_col=False,
            )
    readData.drop_duplicates(subset='Course Name', keep="first")
    emailGroups = readData.groupby("Email")["Course Name"].nunique()
    print(emailGroups)
    emailGroups = emailGroups.to_csv('/Users/normrasmussen/Documents/Northpass/Scripts/Skuid_LPs/outtest.csv')
    #if readData.loc[readData['Course Name'].isin([
    #                'Get Started with Models - Level 1',
    #                'Configure Model Fields - Level 1',
    #                'Configure Model Conditions - Level 1',
    #                'Configure Model Actions - Level 1',
    #                'Manage Models - Level 1',
    #                'Intro to UI Only Fields - Level 1'])]:
    #    extractedList = readData.loc[readData['Email'].tolist()]
    #    fourOccs = Counter(extractedList)
    #    finalNames = []
    #    for name, occurences in fourOccs.items():
    #        if occurences == 6:
    #            finalNames.append(name)

if __name__ == "__main__":
    #mainFunc(basecsv)
    lpLevels(lpcsv)