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import pandas as pd

pd.set_option('display.max_columns', None) #show all columns
pd.set_option('display.max_rows', None) #show all columns
data = pd.read_csv("train.csv", delimiter = ',', nrows=1000,engine="python") #read data
number_of_rows = data.shape[0] #get number of rows

split_rows = int(number_of_rows * 0.8) #split the data initially 80/20

#print(data.tail())

training = data.iloc[:split_rows,:].copy() #create training set
testing = data.iloc[split_rows:,:].copy() #create test set

#get the last session id of training set and first session id of testing set
last_session_training = training.tail(1)["session_id"].values[0]
first_session_testing = testing.head(1)["session_id"].values[0]

#check if the last session  from training set is not in the test set
while last_session_training == first_session_testing:

    training = training.append(testing.head(1)) #append the first test row at the end of training set
    testing = testing.iloc[1:,] #remove first row of testing set
    first_session_testing = testing.head(1)["session_id"].values[0] #get current first session id of testing set


print("Training set elements: " + str(training.shape[0]))
print("Test set elements: " + str(testing.shape[0]))

print("Last session in training set: " + last_session_training)
print("First session in testing set: " + first_session_testing)

training.groupby(["user_id","session_id"])

#fresh testing set
testing_label = testing.copy()

last_clickout_list = [] #list of last click out actions in given session
current_session = testing.head(1)["session_id"].values[0]

clickout_index = -1
last_action = ""
session_history = []

for index, row in testing.iterrows():
    if row["session_id"] != current_session: #check if new session started
        current_session = row["session_id"] #set new session
        if clickout_index != -1 and last_action == "clickout item": #if sessions las action was clickout
            last_clickout_list.append(clickout_index) #add index of row with last clickout action
            clickout_index = -1 #clear last clickout action index

    if row["action_type"] == "clickout item": #check if current action is a clickout
        clickout_index = index

    last_action = row["action_type"]

#check clickout for last session
if clickout_index != -1:
    last_clickout_list.append(clickout_index)

#print(last_clickout_list)

#set empty reference for all last clickouts
for index in last_clickout_list:
    testing.at[index,'reference'] = ""

df_test = testing[['session_id','action_type','reference']]
print(df_test)

reference_csv = 'C:\\Users\\Karol\\PycharmProjects\\Systemy_Rekomendacyjne\data\\reference.csv'
training_csv = 'C:\\Users\\Karol\\PycharmProjects\\Systemy_Rekomendacyjne\data\\train.csv'
testing_csv = 'C:\\Users\\Karol\\PycharmProjects\\Systemy_Rekomendacyjne\data\\test.csv'

training.to_csv(training_csv)
testing.to_csv(testing_csv)
testing_label.to_csv(reference_csv)