如何加速Spotify API调用？

Question

我正在从spotify api中检索轨道数据，总共有10条，但运行大约需要2-3秒。有没有办法通过使用一些python库(如multiprocessing或其他东西)来加快它的速度？

track_url = []
track_name = []
album_image = []
for i in range(len(tracks_recommend)):
    track_id = tracks_recommend.at[i, 'id']
    # call to spotify api
    res = spotify.track(track_id=track_id)
    track_url.append(res['external_urls'])
    track_name.append(res['name'])
    album_image.append(res['album']['images'][0]['url'])

Answer 1

是否有任何方法通过使用一些python库(如multiprocessing )来加快速度？

是的，多进程并行运行API请求非常好。这会让你开始：

from multiprocessing.pool import ThreadPool as Pool

def recommend(track_id):
    return spotify.track(track_id=track_id)

track_ids = [tracks_recommend.at[i, 'id']
             for i in range(len(tracks_recommend))]

with Pool(5) as pool:
   for res in pool.map(recommend, track_ids):
      ...

Answer 2

取决于Spotify是否跟踪您并将您限制为一个请求。如果他们不这样做，你可以从以下几个方面着手：

    def process_track(track_id)
        # call to spotify api
        res = spotify.track(track_id=track_id)
        return (res['external_urls'], res['name'], res['album']['images'][0]['url'])

    with Pool(4) as p: # replace 4 with whatever number you want
        track_ids = [tracks_recommend.at[i, 'id'] for i in range(len(tracks_recommend))]
        output = p.map(process_track, track_ids)
    
    track_url, track_name, album_image = zip(*output)

这无助于延迟，但它可能会增加吞吐量。