73 lines
2.1 KiB
Python
73 lines
2.1 KiB
Python
import os.path
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import pandas as pd
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import requests
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# https://musify.club/search/suggestions?term=happy days
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class Download:
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def __init__(self, metadata_csv: str = ".cache1.csv", session: requests.Session = requests.Session(),
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file: str = ".cache2.csv", temp: str = "temp") -> None:
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self.temp = temp
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self.session = session
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self.session.headers = {
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"Connection": "keep-alive",
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"Referer": "https://musify.club/"
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}
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self.metadata = pd.read_csv(os.path.join(self.temp, metadata_csv), index_col=0)
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self.urls = []
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missing_urls, self.urls = self.check_musify()
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self.dump_urls(file)
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def check_musify_track(self, row):
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artist = row['artist']
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track = row['title']
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url = f"https://musify.club/search/suggestions?term={track}"
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r = self.session.get(url=url)
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if r.status_code == 200:
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autocomplete = r.json()
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for row in autocomplete:
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if any(a in row['label'] for a in artist):
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return row
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return None
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def check_musify(self, urls: list = []):
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missing_urls = []
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def get_download_link(default_url):
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# https://musify.club/track/dl/18567672/rauw-alejandro-te-felicito-feat-shakira.mp3
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# /track/sundenklang-wenn-mein-herz-schreit-3883217'
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file_ = default_url.split("/")[-1]
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musify_id = file_.split("-")[-1]
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musify_name = "-".join(file_.split("-")[:-1])
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return f"https://musify.club/track/dl/{musify_id}/{musify_name}.mp3"
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for idx, row in self.metadata.iterrows():
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url = self.check_musify_track(row)
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if url is None:
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missing_urls.append(row['id'])
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continue
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data = dict(row)
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data['url'] = get_download_link(url['url'])
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urls.append(data)
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return missing_urls, urls
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def dump_urls(self, file: str = ".cache2.csv"):
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df = pd.DataFrame(self.urls)
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df.to_csv(os.path.join(self.temp, file))
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if __name__ == "__main__":
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download = Download()
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