gilillo32

import spotipy
from spotipy.oauth2 import SpotifyClientCredentials, SpotifyOAuth

APP_CLIENT_ID = ""
APP_CLIENT_SECRET = ""
SPOTIPY_REDIRECT_URI = "http://localhost:8000/"

sp = spotipy.Spotify(auth_manager=SpotifyOAuth(client_id=APP_CLIENT_ID, client_secret=APP_CLIENT_SECRET,
                                               redirect_uri=SPOTIPY_REDIRECT_URI, scope="user-library-read"))
results = sp.current_user_saved_tracks()

gilillo32

import os
import re


def main():
    medi = re.compile(".*medicamentos*", re.I)
    osaki = re.compile(".*osaki*", re.I)
    cont = 0
    for (root, dirs, files) in os.walk('.'):
        if not ('general' in root.lower() or '.' == root):

gilillo32

import json
from collections import defaultdict

"""
This script reads the streaming history data from the file 'streaming_history_combined.json' and processes it to find 
the top 10 artists and tracks by count and by time, as well as the total listening time. The data is filtered to only
include tracks listened to in the year 2024 between January 1st and November 15th. This has be done to compare
the results with the data from the Spotify Wrapped 2024. After some tests and playing with the parameters, we can see
that the data from the Spotify Wrapped 2024 is not the same as the data from the streaming history. This can be due to 
a variety of reasons: The criteria for counting or excluding playing time, the criteria for counting or excluding song