import csv
import random
import time

# variables: 
scorestemp = []
userpoints = 0
username = ""
userData = "C:\Python Main\Exam Practise\Xuserdata.csv"
songLibrary = "C:\Python Main\Exam Practise\Xmusiclibrary.csv"
leaderboard = "C:\Python Main\Exam Practise\Xleaderboard.csv"
scoresFile = "C:\Python Main\Exam Practise\Xscores.csv"

#def appendHighScore(userpoints):
    #choose_name = str(input("Enter the name you would like your score to be saved as: "))
    #with open(leaderboard, "a", newline = '') as LeaderboardWrite:
        #LeaderboardWriter = csv.writer(LeaderboardWrite)
        #highscoredata = [choose_name, userpoints]
        #LeaderboardWriter.writerow(highscoredata)

    
def appendScore(username, userpoints): 
    with open(scoresFile, "a", newline = '') as ScoresCSV: 
        writer3 = csv.writer(ScoresCSV)
        data1 = [username, userpoints]
        writer3.writerows([data1])           
        # WORKING - writes to scores.   

def detectHighScore(userpoints): 
    with open(scoresFile, "r") as DTCHighscore:
        scorereader = csv.reader(DTCHighscore)
        data = []
        for y in scorereader:
            if y:
                data.append(y[1])
        data.sort(reverse=True)   # sorted list of all scores in the file.
        
        if userpoints >= int(data[0]) or userpoints >= int(data[1]) or userpoints >= int(data[2]) or userpoints >= int(data[3]) or userpoints >= int(data[4]):
            print("High Score Detected. Good Job! Your highscore is: " + str(userpoints))
            print("Here is the leaderboard: ")
            print(data[0], data[1], data[2], data[3], data[4]) # how to display username as well??
            data.clear()
            #appendHighScore(userpoints)
            exit()
        elif userpoints != int(data[0]) or userpoints != int(data[1]) or userpoints != int(data[2]) or userpoints != int(data[3]) or userpoints != int(data[4]):
            print("Here is the leaderboard: ")
            print(data[0], data[1], data[2], data[3], data[4]) # you need to have 5 scores already saved.
            data.clear() # still putting a random number at the start not in order
            exit()

def validateUserGuess(songname):   
    global userpoints
    Playing = True
    while Playing:
        print("You have two guesses to correctly guess the song. Good luck!")
        userguess1 = input("Enter your guess (Enter the full song name.) : ")
        if userguess1 == songname:
            userpoints += 3                                                         
            print("Correct. You have earned 3 points.") 
            print("You now have: " + (str(userpoints)) + " points.")
            randomsong()
        else:
            userguess2 = input("Incorrect guess. This is your last attempt: ") 
            if userguess2 == songname: 
                userpoints += 1
                print("Correct.You have earned 1 point.")
                print("You now have: " + (str(userpoints)) + " points.")
                randomsong()
            else:
                Playing = False
                print("You lose KEKW. You scored: " + str(userpoints) + " points.")
                appendScore(username, userpoints) # writes every score to scores file.                        # still continues this loop aftger detecthighscore runs. "break" underneath does not do anuthing
                detectHighScore(userpoints)
                
# takes a random entry from music library and the artist producing the song and then prints it as a list, string. ie ["R", "I", "B"] XXXTENTACION]
def randomsong(): 
    with open(songLibrary, "r") as SongLibrary: # opens the Xmusiclibrary.csv file
        songreader = csv.reader(SongLibrary) 
        #header = next(songreader)
        for x in songreader:# "for every row in the file"
            if x:
                songrows = list(songreader) # turn all entries into one list
                random_row = random.choice(songrows) # selects a random entry
                #print(random_row)
                songname = random_row[0] # sets the name of the song to column 1 # sometimes throws up a list index error 
                artist = random_row[1] # sets artist name to column 2
                random_song_str = "".join(str(e) for e in songname) # converts just the song name to a string
                firstletter = [s[0] for s in random_song_str.split()] # stores the first letter of each word in the song title in a list
                print(firstletter, artist)
                validateUserGuess(songname)

# user authentication
def userauth():
    global login
    global username
    login = False
    username = input("Logging in. Enter your username: ") 
    password = input("Please Enter your password. Bear in mind that it is case sensitive.")
    with open(userData, "r") as userdata_csv_file:
        reader = csv.reader(userdata_csv_file)
        #header = next(reader)

        for row in reader:
            auth_user = row[0] 
            auth_pass = row[1]
            if auth_user == username and auth_pass == password:
                login = True
                print("You are logged in as: " + username)
                randomsong()
                break
            
        if auth_user != username or auth_pass != password:
            print("Login incorrect. Please try again.")  
            LogCreate()

# Creating a new account and adding it to the CSV file
def appendAccount():
    Newusername = input("Enter your username: ") 
    Newpassword = input("Enter your password: ")
    with open(userData, "a", newline = '') as userDataCSV:
        writer = csv.writer(userDataCSV)
        details = [Newusername, Newpassword]
        writer.writerows([details])

def LogCreate():
    userchoice = input("Login or create account? L/C: ").lower()
    if userchoice == "l":
        userauth()
    else:
        appendAccount()
        LogCreate()

LogCreate()

# bonus items  

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About Python

Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.

Tutorial & Syntax help

Loops

1. If-Else:

When ever you want to perform a set of operations based on a condition IF-ELSE is used.

if conditional-expression
    #code
elif conditional-expression
    #code
else:
    #code

Note:

Indentation is very important in Python, make sure the indentation is followed correctly

2. For:

For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.

Example:

mylist=("Iphone","Pixel","Samsung")
for i in mylist:
    print(i)

3. While:

While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.

while condition  
    #code 

Collections

There are four types of collections in Python.

1. List:

List is a collection which is ordered and can be changed. Lists are specified in square brackets.

Example:

mylist=["iPhone","Pixel","Samsung"]
print(mylist)

2. Tuple:

Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.

Example:

myTuple=("iPhone","Pixel","Samsung")
print(myTuple)

Below throws an error if you assign another value to tuple again.

myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)

3. Set:

Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.

Example:

myset = {"iPhone","Pixel","Samsung"}
print(myset)

4. Dictionary:

Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.

Example:

mydict = {
    "brand" :"iPhone",
    "model": "iPhone 11"
}
print(mydict)

Supported Libraries

Following are the libraries supported by OneCompiler's Python compiler

NameDescription
NumPyNumPy python library helps users to work on arrays with ease
SciPySciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation
SKLearn/Scikit-learnScikit-learn or Scikit-learn is the most useful library for machine learning in Python
PandasPandas is the most efficient Python library for data manipulation and analysis
DOcplexDOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling