Пример #1
0
        artist = song_arr[i][0]
        track = song_arr[i][1]
        uri = spot_client.search_song(artist, track)
        if uri is None:
            print(f"No song found for {artist} {track}")
        else:
            uri_list.append(uri)
            print(f"Found {artist} {track}")
            found_counter += 1

    print(f"Found {found_counter} out of {len(song_arr)} songs on spotify")

    # Make request to add 100 songs to playlist (max)
    request_lists = []
    start_i = 0
    end_i = 100

    for i in range(len(uri_list) // 100):
        request_lists.append(uri_list[start_i:end_i])
        start_i += 100
        end_i += 100

    end_i -= 100
    end_i += len(uri_list) % 100
    request_lists.append(uri_list[start_i:end_i])

    for request in request_lists:
        spot_client.add_songs(spot_playlist_id, request)

    print("Songs added")
Пример #2
0
from spotify_client import SpotifyClient

# from looking at the KDE plots in plots.py, the darkest regions were in these bounds:
max_energy = 0.8
min_energy = 0.6
max_valence = 0.63
min_valence = 0.47
max_tempo = 133
min_tempo = 77

new_songs = []
# now we want to go through our dataframe of liked songs and get our "ideal songs":
# songs which fall into the bounds of the KDE plot highest density regions.
name = "audio_features.csv"
ideal_songs = DataAnalysis.ideal_song(pd, name, max_energy, max_valence,
                                      max_tempo, min_energy, min_valence,
                                      min_tempo)
print("Obtained ideal songs to generate your recommendations successfully.")
# now, using this list of ideal songs, we need to get our list of recommendations:
# we will loop through so that we can get recommendations from all of our ideal songs:
SpotifyClient.recommended_songs(sp, ideal_songs, new_songs, max_energy,
                                max_valence, max_tempo, min_energy,
                                min_valence, min_tempo)
print("Found recommendations for you successfully.")

# create the playlist to put our recommended songs into
playlist = SpotifyClient.create_playlist(sp)

# add the recommended songs to our new playlist
SpotifyClient.add_songs(sp, playlist, new_songs)