from collections import Counter
import pandas as pd

basecsv = "/Users/normrasmussen/Documents/Northpass/Scripts/Skuid_LPs/Skuid_MCA125.csv"
lpcsv = "/Users/normrasmussen/Documents/Northpass/Scripts/Skuid_LPs/skuidlps2.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=None,
        header=None,
    )
    # print(levels.Level.unique())  # Print only unique values from the Level column


def mainFunc(basecsv):
    readData = pd.read_csv(
        basecsv,
    )
    #    lp01 = readData[readData["Course Name"] ==
    #    print(lp01)
    # people = lp01.groupby(["Email", "Learner Full Name"])["Course Name"].nunique()
    # print(people)
    # readData.drop_duplicates(subset="Course Name", keep="first")
    lvl1 = readData.loc["Course Name"].any()
    if lvl1.str.contains('Level 1'):
        emailGroups = readData.groupby(["Email", "Learner Full Name"])["Course Name"].nunique()
        print(emailGroups)
    # emailGroups = people.to_csv(
    #    "/Users/normrasmussen/Documents/Northpass/Scripts/Skuid_LPs/outtest2.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, occurrences in fourOccs.items():
    #        if occurrences == 6:
    #            finalNames.append(name)


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