如何加快 Spotify API 通话速度？

Question

我正在从 spotify api 中检索总共 10 首曲目的曲目数据，但运行大约需要 2-3 秒。有什么方法可以通过使用一些 python 库来加速它，比如 multiprocessing 或其他东西。

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

Is there any way to speed it up by using some python libraries like multiprocessing

是的，多进程可以很好地并行处理运行 API 请求。这将使您入门：

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，这就是您可以开始的：

    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)

这不会帮助您解决延迟问题，但可能会增加吞吐量。

如何加快 Spotify API 通话速度？

How to speed up Spotify API calls?

python

multiprocessing

spotify