from  matplotlib import pyplot as plt
from dotenv import load_dotenv
from spotipy import Spotify, exceptions
from spotipy.oauth2 import SpotifyOAuth


def get_user_tracks(spotify: Spotify) -> list:
    """Fetch the saved tracks of a specified user."""
    offset = 0
    saved_tracks = []
    limit = 50

    # Loop until either we reach the end of the playlist, or we getting limited
    # by the API
    while True:
        try:
            print(f"Récupération {offset}-{offset + limit}")
            results: dict | None = spotify.current_user_saved_tracks(
                limit=limit,
                offset=offset
            )

            if results is None:
                print("L'API de Spotify délire")
                exit(1)
        except exceptions.SpotifyException as e:
            if e.http_status == 429:
                print("Récolte terminé, l'API a bien mangé.")
                break
            else:
                print(f"Ca a buggé: {e}")
                exit(1)
        else:
            offset += limit

            # Break the loop if we reach the end
            if len(results["items"]) == 0:
                break

            saved_tracks.extend(results["items"])

    return saved_tracks

def get_years(data: list) -> list:
    """Extract data"""
    years = []
    for item in data:
        track = item["track"]
        years.append(int(track['album']['release_date'][:4]))

    return years

def get_occurences(years: list) -> dict:
    """
    Map of all the years and how many times there is an occurence,
    sorted by years
    """
    year_count = {}
    for year in years:
        if year in year_count:
            year_count[year] += 1
        else:
            if year > 0:
                year_count[year] = 1

    return dict(sorted(year_count.items()))

def export_data(color) -> str:
    """Build a graphic"""
    plt.clf()
    match color:
        case "light":
            pass
        case "dark":
            plt.style.use("dark_background")
        case _:
            print("Comprends pas cette couleur")
            exit(1)
    filename = f"resultat_{color}.png"

    plt.plot(occurences.keys(), occurences.values())
    plt.title("Occurrences of what I've listened to over the years")
    plt.xlabel("Year")
    plt.ylabel("Occurrence")
    plt.savefig(filename)

    return filename

if __name__ == '__main__':
    # Load .env
    load_dotenv()

    # Connect to spotify
    spotify = Spotify(
        auth_manager=SpotifyOAuth(scope="user-library-read", open_browser=False)
    )

    # Get of release year of liked user tracks
    saved_tracks = get_user_tracks(spotify)
    years = get_years(saved_tracks)

    # Get how many time each years appears in the data
    occurences = get_occurences(years)

    # Build chart
    light, dark = export_data("light"), export_data("dark")
    print(f"Check ton graph:\n- {light}\n- {dark}")