327 lines
17 KiB
Python
Executable File
327 lines
17 KiB
Python
Executable File
#!/usr/bin/env python3
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import asyncio
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from .cache import failure_cache, track_match_cache
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from functools import partial
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from typing import List, Sequence, Set, Mapping
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import math
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import requests
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import sys
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import spotipy
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import tidalapi
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from .tidalapi_patch import add_multiple_tracks_to_playlist, set_tidal_playlist
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import time
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from tqdm.asyncio import tqdm as atqdm
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import traceback
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import unicodedata
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import math
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from .type import spotify as t_spotify
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def normalize(s) -> str:
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return unicodedata.normalize('NFD', s).encode('ascii', 'ignore').decode('ascii')
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def simple(input_string: str) -> str:
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# only take the first part of a string before any hyphens or brackets to account for different versions
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return input_string.split('-')[0].strip().split('(')[0].strip().split('[')[0].strip()
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def isrc_match(tidal_track: tidalapi.Track, spotify_track) -> bool:
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if "isrc" in spotify_track["external_ids"]:
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return tidal_track.isrc == spotify_track["external_ids"]["isrc"]
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return False
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def duration_match(tidal_track: tidalapi.Track, spotify_track, tolerance=2) -> bool:
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# the duration of the two tracks must be the same to within 2 seconds
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return abs(tidal_track.duration - spotify_track['duration_ms']/1000) < tolerance
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def name_match(tidal_track, spotify_track) -> bool:
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def exclusion_rule(pattern: str, tidal_track: tidalapi.Track, spotify_track: t_spotify.SpotifyTrack):
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spotify_has_pattern = pattern in spotify_track['name'].lower()
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tidal_has_pattern = pattern in tidal_track.name.lower() or (not tidal_track.version is None and (pattern in tidal_track.version.lower()))
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return spotify_has_pattern != tidal_has_pattern
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# handle some edge cases
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if exclusion_rule("instrumental", tidal_track, spotify_track): return False
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if exclusion_rule("acapella", tidal_track, spotify_track): return False
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if exclusion_rule("remix", tidal_track, spotify_track): return False
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# the simplified version of the Spotify track name must be a substring of the Tidal track name
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# Try with both un-normalized and then normalized
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simple_spotify_track = simple(spotify_track['name'].lower()).split('feat.')[0].strip()
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return simple_spotify_track in tidal_track.name.lower() or normalize(simple_spotify_track) in normalize(tidal_track.name.lower())
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def artist_match(tidal_track: tidalapi.Track, spotify_track) -> bool:
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def split_artist_name(artist: str) -> Sequence[str]:
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if '&' in artist:
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return artist.split('&')
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elif ',' in artist:
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return artist.split(',')
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else:
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return [artist]
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def get_tidal_artists(tidal_track: tidalapi.Track, do_normalize=False) -> Set[str]:
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result: list[str] = []
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for artist in tidal_track.artists:
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if do_normalize:
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artist_name = normalize(artist.name)
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else:
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artist_name = artist.name
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result.extend(split_artist_name(artist_name))
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return set([simple(x.strip().lower()) for x in result])
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def get_spotify_artists(spotify_track: t_spotify.SpotifyTrack, do_normalize=False) -> Set[str]:
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result: list[str] = []
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for artist in spotify_track['artists']:
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if do_normalize:
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artist_name = normalize(artist['name'])
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else:
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artist_name = artist['name']
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result.extend(split_artist_name(artist_name))
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return set([simple(x.strip().lower()) for x in result])
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# There must be at least one overlapping artist between the Tidal and Spotify track
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# Try with both un-normalized and then normalized
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if get_tidal_artists(tidal_track).intersection(get_spotify_artists(spotify_track)) != set():
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return True
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return get_tidal_artists(tidal_track, True).intersection(get_spotify_artists(spotify_track, True)) != set()
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def match(tidal_track, spotify_track) -> bool:
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if not spotify_track['id']: return False
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return isrc_match(tidal_track, spotify_track) or (
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duration_match(tidal_track, spotify_track)
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and name_match(tidal_track, spotify_track)
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and artist_match(tidal_track, spotify_track)
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)
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async def tidal_search(spotify_track, rate_limiter, tidal_session: tidalapi.Session) -> tidalapi.Track | None:
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def _search_for_track_in_album():
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# search for album name and first album artist
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if 'album' in spotify_track and 'artists' in spotify_track['album'] and len(spotify_track['album']['artists']):
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album_result = tidal_session.search(simple(spotify_track['album']['name']) + " " + simple(spotify_track['album']['artists'][0]['name']), models=[tidalapi.album.Album])
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for album in album_result['albums']:
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album_tracks = album.tracks()
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if len(album_tracks) >= spotify_track['track_number']:
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track = album_tracks[spotify_track['track_number'] - 1]
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if match(track, spotify_track):
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failure_cache.remove_match_failure(spotify_track['id'])
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return track
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def _search_for_standalone_track():
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# if album search fails then search for track name and first artist
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for track in tidal_session.search(simple(spotify_track['name']) + ' ' + simple(spotify_track['artists'][0]['name']), models=[tidalapi.media.Track])['tracks']:
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if match(track, spotify_track):
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failure_cache.remove_match_failure(spotify_track['id'])
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return track
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await rate_limiter.acquire()
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album_search = await asyncio.to_thread( _search_for_track_in_album )
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if album_search:
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return album_search
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await rate_limiter.acquire()
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track_search = await asyncio.to_thread( _search_for_standalone_track )
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if track_search:
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return track_search
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return None
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# if none of the search modes succeeded then store the track id to the failure cache
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failure_cache.cache_match_failure(spotify_track['id'])
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def get_tidal_playlists_dict(tidal_session: tidalapi.Session) -> Mapping[str, tidalapi.Playlist]:
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# a dictionary of name --> playlist
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print("Loading Tidal playlists... This may take some time.")
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tidal_playlists = tidal_session.user.playlists()
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output = {}
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for playlist in tidal_playlists:
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output[playlist.name] = playlist
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return output
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async def repeat_on_request_error(function, *args, remaining=5, **kwargs):
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# utility to repeat calling the function up to 5 times if an exception is thrown
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try:
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return await function(*args, **kwargs)
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except (tidalapi.exceptions.TooManyRequests, requests.exceptions.RequestException) as e:
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if remaining:
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print(f"{str(e)} occurred, retrying {remaining} times")
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else:
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print(f"{str(e)} could not be recovered")
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if isinstance(e, requests.exceptions.RequestException) and not e.response is None:
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print(f"Response message: {e.response.text}")
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print(f"Response headers: {e.response.headers}")
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if not remaining:
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print("Aborting sync")
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print(f"The following arguments were provided:\n\n {str(args)}")
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print(traceback.format_exc())
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sys.exit(1)
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sleep_schedule = {5: 1, 4:10, 3:60, 2:5*60, 1:10*60} # sleep variable length of time depending on retry number
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time.sleep(sleep_schedule.get(remaining, 1))
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return await repeat_on_request_error(function, *args, remaining=remaining-1, **kwargs)
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async def get_tracks_from_spotify_playlist(spotify_session: spotipy.Spotify, spotify_playlist):
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def _get_tracks_from_spotify_playlist(offset: int, spotify_session: spotipy.Spotify, playlist_id: str):
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fields="next,total,limit,items(track(name,album(name,artists),artists,track_number,duration_ms,id,external_ids(isrc)))"
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return spotify_session.playlist_tracks(playlist_id, fields, offset=offset)
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output = []
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print(f"Loading tracks from Spotify playlist '{spotify_playlist['name']}'")
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results = _get_tracks_from_spotify_playlist( 0, spotify_session, spotify_playlist["id"] )
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output.extend([r['track'] for r in results['items'] if r['track'] is not None])
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# get all the remaining tracks in parallel
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if results['next']:
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offsets = [ results['limit'] * n for n in range(1, math.ceil(results['total']/results['limit'])) ]
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extra_results = await atqdm.gather( *[asyncio.to_thread(_get_tracks_from_spotify_playlist, offset, spotify_session=spotify_session, playlist_id=spotify_playlist["id"]) for offset in offsets ] )
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for extra_result in extra_results:
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output.extend([r['track'] for r in extra_result['items'] if r['track'] is not None])
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return output
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def populate_track_match_cache(spotify_tracks_: Sequence[t_spotify.SpotifyTrack], tidal_tracks_: Sequence[tidalapi.Track]):
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""" Populate the track match cache with all the existing tracks in Tidal playlist corresponding to Spotify playlist """
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def _populate_one_track_from_spotify(spotify_track: t_spotify.SpotifyTrack):
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for idx, tidal_track in list(enumerate(tidal_tracks)):
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if match(tidal_track, spotify_track):
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track_match_cache.insert((spotify_track['id'], tidal_track.id))
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tidal_tracks.pop(idx)
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return
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def _populate_one_track_from_tidal(tidal_track: tidalapi.Track):
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for idx, spotify_track in list(enumerate(spotify_tracks)):
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if match(tidal_track, spotify_track):
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track_match_cache.insert((spotify_track['id'], tidal_track.id))
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spotify_tracks.pop(idx)
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return
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# make a copy of the tracks to avoid modifying original arrays
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spotify_tracks = [t for t in spotify_tracks_]
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tidal_tracks = [t for t in tidal_tracks_]
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# first populate from the tidal tracks
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for track in tidal_tracks:
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_populate_one_track_from_tidal(track)
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# then populate from the subset of Spotify tracks that didn't match (to account for many-to-one style mappings)
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for track in spotify_tracks:
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_populate_one_track_from_spotify(track)
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def get_new_tracks_from_spotify_playlist(spotify_tracks: Sequence[t_spotify.SpotifyTrack], old_tidal_tracks: Sequence[tidalapi.Track]) -> list[t_spotify.SpotifyTrack]:
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''' Extracts only the new tracks in the Spotify playlist that are not already on Tidal or known match failures '''
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populate_track_match_cache(spotify_tracks, old_tidal_tracks)
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results = []
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for spotify_track in spotify_tracks:
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if not spotify_track['id']: continue
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if not track_match_cache.get(spotify_track['id']) and not failure_cache.has_match_failure(spotify_track['id']):
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results.append(spotify_track)
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return results
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def get_tracks_for_new_tidal_playlist(spotify_tracks: Sequence[t_spotify.SpotifyTrack]) -> Sequence[int]:
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''' gets list of corresponding tidal track ids for each spotify track, ignoring duplicates '''
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output = []
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seen_tracks = set()
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for spotify_track in spotify_tracks:
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if not spotify_track['id']: continue
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tidal_id = track_match_cache.get(spotify_track['id'])
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if tidal_id and not tidal_id in seen_tracks:
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output.append(tidal_id)
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seen_tracks.add(tidal_id)
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return output
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async def sync_playlist(spotify_session: spotipy.Spotify, tidal_session: tidalapi.Session, spotify_playlist, tidal_playlist: tidalapi.Playlist | None, config):
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async def _run_rate_limiter(semaphore):
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''' Leaky bucket algorithm for rate limiting. Periodically releases an item from semaphore at rate_limit'''
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while True:
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await asyncio.sleep(1/config.get('rate_limit', 12)) # sleep for min time between new function executions
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semaphore.release() # leak one item from the 'bucket'
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# Create a new Tidal playlist if required
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if not tidal_playlist:
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print(f"No playlist found on Tidal corresponding to Spotify playlist: '{spotify_playlist['name']}', creating new playlist")
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tidal_playlist = tidal_session.user.create_playlist(spotify_playlist['name'], spotify_playlist['description'])
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# Extract the new tracks from the playlist that we haven't already seen before
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spotify_tracks = await get_tracks_from_spotify_playlist(spotify_session, spotify_playlist)
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old_tidal_tracks = tidal_playlist.tracks()
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tracks_to_search = get_new_tracks_from_spotify_playlist(spotify_tracks, old_tidal_tracks)
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if not tracks_to_search:
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print("No new tracks to search in Spotify playlist '{}'".format(spotify_playlist['name']))
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return
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# Search for each of the tracks on Tidal concurrently
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task_description = "Searching Tidal for {}/{} tracks in Spotify playlist '{}'".format(len(tracks_to_search), len(spotify_tracks), spotify_playlist['name'])
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semaphore = asyncio.Semaphore(config.get('max_concurrency', 10))
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rate_limiter_task = asyncio.create_task(_run_rate_limiter(semaphore))
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search_results = await atqdm.gather( *[ repeat_on_request_error(tidal_search, t, semaphore, tidal_session) for t in tracks_to_search ], desc=task_description )
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rate_limiter_task.cancel()
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# Add the search results to the cache
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for idx, spotify_track in enumerate(tracks_to_search):
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if search_results[idx]:
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track_match_cache.insert( (spotify_track['id'], search_results[idx].id) )
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else:
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color = ('\033[91m', '\033[0m')
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print(color[0] + "Could not find track {}: {} - {}".format(spotify_track['id'], ",".join([a['name'] for a in spotify_track['artists']]), spotify_track['name']) + color[1])
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# Update the Tidal playlist if there are changes
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old_tidal_track_ids = [t.id for t in old_tidal_tracks]
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new_tidal_track_ids = get_tracks_for_new_tidal_playlist(spotify_tracks)
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if new_tidal_track_ids == old_tidal_track_ids:
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print("No changes to write to Tidal playlist")
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elif new_tidal_track_ids[:len(old_tidal_track_ids)] == old_tidal_track_ids:
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# Append new tracks to the existing playlist if possible
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add_multiple_tracks_to_playlist(tidal_playlist, new_tidal_track_ids[len(old_tidal_track_ids):])
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else:
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# Erase old playlist and add new tracks from scratch if any reordering occured
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set_tidal_playlist(tidal_playlist, new_tidal_track_ids)
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def sync_list(spotify_session: spotipy.Spotify, tidal_session: tidalapi.Session, playlists, config):
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for spotify_playlist, tidal_playlist in playlists:
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# sync the spotify playlist to tidal
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asyncio.run(sync_playlist(spotify_session, tidal_session, spotify_playlist, tidal_playlist, config) )
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def pick_tidal_playlist_for_spotify_playlist(spotify_playlist, tidal_playlists: Mapping[str, tidalapi.Playlist]):
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if spotify_playlist['name'] in tidal_playlists:
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# if there's an existing tidal playlist with the name of the current playlist then use that
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tidal_playlist = tidal_playlists[spotify_playlist['name']]
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return (spotify_playlist, tidal_playlist)
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else:
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return (spotify_playlist, None)
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def get_user_playlist_mappings(spotify_session: spotipy.Spotify, tidal_session: tidalapi.Session, config):
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results = []
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spotify_playlists = asyncio.run(get_playlists_from_spotify(spotify_session, config))
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tidal_playlists = get_tidal_playlists_dict(tidal_session)
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for spotify_playlist in spotify_playlists:
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results.append( pick_tidal_playlist_for_spotify_playlist(spotify_playlist, tidal_playlists) )
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return results
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async def get_playlists_from_spotify(spotify_session: spotipy.Spotify, config):
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# get all the user playlists from the Spotify account
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playlists = []
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print("Loading Spotify playlists")
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results = spotify_session.user_playlists(config['spotify']['username'])
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exclude_list = set([x.split(':')[-1] for x in config.get('excluded_playlists', [])])
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# get all the remaining playlists in parallel
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if results['next']:
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offsets = [ results['limit'] * n for n in range(1, math.ceil(results['total']/results['limit'])) ]
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extra_results = await atqdm.gather( *[asyncio.to_thread(spotify_session.user_playlists, config['spotify']['username'], offset=offset) for offset in offsets ] )
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for extra_result in extra_results:
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playlists.extend([p for p in extra_result['items'] if p['owner']['id'] == config['spotify']['username'] and not p['id'] in exclude_list])
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return playlists
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def get_playlists_from_config(spotify_session: spotipy.Spotify, tidal_session: tidalapi.Session, config):
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# get the list of playlist sync mappings from the configuration file
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def get_playlist_ids(config):
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return [(item['spotify_id'], item['tidal_id']) for item in config['sync_playlists']]
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output = []
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for spotify_id, tidal_id in get_playlist_ids(config):
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try:
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spotify_playlist = spotify_session.playlist(spotify_id)
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except spotipy.SpotifyException as e:
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print(f"Error getting Spotify playlist {spotify_id}")
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raise e
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try:
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tidal_playlist = tidal_session.playlist(tidal_id)
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except Exception as e:
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print(f"Error getting Tidal playlist {tidal_id}")
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raise e
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output.append((spotify_playlist, tidal_playlist))
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return output
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