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38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
"""
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Requests related to artists
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"""
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import urllib.parse
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import requests
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from requests import ConnectionError, HTTPError, ReadTimeout
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#from app import settings
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from app.utils.hashing import create_hash
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def fetch_similar_artists(name: str):
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"""
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Fetches similar artists from Last.fm
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"""
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# REVIEW This is the old way of doing it. The new way is to use the Kerve API.
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#url = f"https://ws.audioscrobbler.com/2.0/?method=artist.getsimilar&artist={urllib.parse.quote_plus(name, safe='')}&api_key={settings.Keys.LASTFM_API_KEY}&format=json&limit=250"
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# TODO Cannot be tested due to PR message
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url = f"https://kerve.last.fm/kerve/similarartists?artist={urllib.parse.quote_plus(name, safe='')}&autocorrect=1&tracks=1&image_size=large&limit=250&format=json"
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try:
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response = requests.get(url, timeout=10)
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response.raise_for_status()
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except (ConnectionError, ReadTimeout, HTTPError):
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return []
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data = response.json()
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try:
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#artists = data["similarartists"]["artist"]
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artists = data["results"]["artist"]
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except KeyError:
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return []
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for artist in artists:
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yield create_hash(artist["name"])
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