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spotify_api_prototype.py
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spotify_api_prototype.py
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import requests
import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
import pandas as pd
from album_per_top_track import get_album_tracks
from artist_albums import get_all_artist_albums
def credentialize():
# Handle OAuth and credentialization upfront:
client_id = '480fceae19894c98b5d368a47916adcc'
secret = 'c4ef40a7222b4508a00835bc8338dbcb'
client_credentials_manager = SpotifyClientCredentials(client_id=client_id, client_secret=secret)
sp = spotipy.Spotify(client_credentials_manager=client_credentials_manager)
return sp
def get_artist_profile(sp):
# Initialize empty master Dataframe:
master_artist_profile_df = pd.DataFrame()
# Search for the artist on Spotify API endpoint:
artist_name = 'Band of Horses'
artist_search_results_dict = sp.search(q='artist:' + artist_name, type='artist')
artist_search_results_df = pd.DataFrame(artist_search_results_dict)
# Get artist URI/ID details:
artist_uri = artist_search_results_df['artists']['items'][0]['uri']
# While we're at it, let's get the data behind all of the artist's albums (discography):
get_all_artist_albums(artist_uri)
"""TODO: Get Artist Data"""
# print(artist_search_results_df['artists'])
artist_profile_dict = artist_search_results_df['artists']['items'][0]
artist_profile_url = artist_profile_dict['external_urls']['spotify']
artist_total_followers = artist_profile_dict['followers']['total']
artist_followers_href = artist_profile_dict['followers']['href']
artist_genre_lst = artist_profile_dict['genres']
artist_api_endpoint = artist_profile_dict['href']
artist_id = artist_profile_dict['id']
artist_image_url = artist_profile_dict['images'][0]['url']
artist_name = artist_profile_dict['name']
artist_popularity = artist_profile_dict['popularity']
artist_type = artist_profile_dict['type']
artist_uri = artist_profile_dict['uri']
artist_profile_df = pd.DataFrame({'artist_id': artist_id,
'artist_name': artist_name,
'artist_profile_page': artist_profile_url,
'artist_total_followers': artist_total_followers,
'artist_followers_href': artist_followers_href,
'artist_genres': str(artist_genre_lst).replace('[', '').replace(']', '').replace("'", ""),
'artist_api_endpoint': artist_api_endpoint,
'artist_image_url': artist_image_url,
'artist_popularity': artist_popularity,
'artist_type': artist_type,
'artist_uri': artist_uri}, index=[0])
master_artist_profile_df = master_artist_profile_df.append(artist_profile_df, ignore_index=True)
# master_artist_profile_df.to_csv('/Users/richie/Client Engagements - 2019/Epic Seats/SEO Projects/Artist Profiles - Spotify API/artist_profile_test.csv', encoding='utf-8', index=False)
print("\n")
print(master_artist_profile_df)
return artist_uri
def get_artist_top_tracks(artist_uri, sp):
"""NOTE: GET ARTIST'S TOP TRACKS (one row at a time)"""
artist_top_track_results = sp.artist_top_tracks(artist_uri)
artist_top_track_results_df = pd.DataFrame(artist_top_track_results['tracks'])
top_tracks_master_df = pd.DataFrame()
for i in list(range(len(artist_top_track_results_df))):
# Build Track Objects:
track_api_endpoint = artist_top_track_results_df.iloc[i]['href']
track_id = artist_top_track_results_df.iloc[i]['id']
track_name = artist_top_track_results_df.iloc[i]['name']
track_popularity = artist_top_track_results_df.iloc[i]['popularity']
track_number = artist_top_track_results_df.iloc[i]['track_number']
track_preview_url = artist_top_track_results_df.iloc[i]['preview_url']
track_uri = artist_top_track_results_df.iloc[i]['uri']
explicit_track = artist_top_track_results_df.iloc[i]['explicit']
# Build Artist Objects:
artist_id = artist_top_track_results_df.iloc[i]['artists'][0]['id']
artist_name = artist_top_track_results_df.iloc[i]['artists'][0]['name']
artist_profile_url = artist_top_track_results_df.iloc[i]['artists'][0]['external_urls']['spotify']
artist_api_endpoint = artist_top_track_results_df.iloc[i]['artists'][0]['href']
# Build Album Objects:
album_type = artist_top_track_results_df.iloc[i]['album']['album_type']
album_profile_url = artist_top_track_results_df.iloc[i]['external_urls']['spotify']
album_api_endoint = artist_top_track_results_df.iloc[i]['album']['href']
album_id = artist_top_track_results_df.iloc[i]['album']['id']
album_image = artist_top_track_results_df.iloc[i]['album']['images'][0]['url']
album_name = artist_top_track_results_df.iloc[i]['album']['name']
album_no_of_discs = artist_top_track_results_df.iloc[i]['disc_number']
album_duration_ms = artist_top_track_results_df.iloc[i]['duration_ms']
# Dataframe Top Track Results for One Row:
top_track_row_result_df = pd.DataFrame({'track_id': track_id,
'track_name': track_name,
'track_popularity': track_popularity,
'track_number': track_number,
'track_preview': track_preview_url,
'explicit': explicit_track,
'track_uri': track_uri,
'track_api_endpoint': track_api_endpoint,
'artist_id': artist_id,
'artist_name': artist_name,
'artist_profile_page': artist_profile_url,
'artist_api_endpoint': artist_api_endpoint,
'album_id': album_id,
'album_name': album_name,
'album_type': album_type,
'album_number_of_discs': album_no_of_discs,
'album_duration_ms': album_duration_ms,
'album_profile_page': album_profile_url,
'album_image': album_image,
'album_api_endpoint': album_api_endoint}, index=[0])
top_tracks_master_df = top_tracks_master_df.append(top_track_row_result_df, ignore_index=True)
print(top_tracks_master_df)
for ind, row in top_tracks_master_df.iterrows():
get_album_tracks(row['album_id'], row['track_name'])
# top_tracks_master_df.to_csv('/Users/richie/Client Engagements - 2019/Epic Seats/SEO Projects/Artist Profiles - Spotify API/artist_top_tracks_test.csv', encoding='utf-8', index=False)
def main():
try:
tokenized_sp_object = credentialize()
artist_uri = get_artist_profile(tokenized_sp_object)
get_artist_top_tracks(artist_uri, tokenized_sp_object)
except Exception as e:
print(f"An error occurred: {e}.")
pass
if __name__ == "__main__":
main()