244 lines
7.0 KiB
Python
Executable File
244 lines
7.0 KiB
Python
Executable File
#!/usr/bin/env python3
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import os
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import re
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import logging
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import argparse
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from pathlib import Path
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dry_run = True
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WORKDIR = Path("/data/navidrome/music/")
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PLAYLIST_DIR = WORKDIR / "playlists"
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MUSIC_DIR = WORKDIR / "music"
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AUDIO_EXTS = {".mp3", ".flac", ".m4a", ".ogg", ".opus", ".aac", ".wav", ".ape"}
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TRACE = 5
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score_threshold = 0.5
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logging.addLevelName(TRACE, "TRACE")
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class CustomLogger(logging.Logger):
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def trace(self, msg: str, *args, **kwargs) -> None:
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if self.isEnabledFor(TRACE):
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self._log(TRACE, msg, args, **kwargs)
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logging.setLoggerClass(CustomLogger)
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logger: CustomLogger = logging.getLogger(__name__) # type: ignore[assignment]
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"-ll",
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"--log-level",
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type=str.upper,
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default="INFO",
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choices=["TRACE", "DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"],
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help="Set log level",
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)
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args = parser.parse_args()
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LOG_LEVELS = {
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"TRACE": TRACE,
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"DEBUG": logging.DEBUG,
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"INFO": logging.INFO,
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"WARNING": logging.WARNING,
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"ERROR": logging.ERROR,
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"CRITICAL": logging.CRITICAL,
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}
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logging.basicConfig(
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level=LOG_LEVELS[args.log_level.upper()],
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format="%(asctime)s %(levelname)s %(message)s",
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)
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logger.trace("Test")
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def words(text):
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return set(re.findall(r"\b[\w']+\b", text.lower()))
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def score_match(search_words, candidate_words):
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intersection = search_words & candidate_words
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union = search_words | candidate_words
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if not union:
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return 0.0
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return len(intersection) / len(union)
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def find_folder(directory: Path, folder: str) -> Path:
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search_words = words(folder)
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best_match = Path("")
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best_score = 0.0
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for candidate in directory.iterdir(): # depth 1 only
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if not candidate.is_dir():
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continue
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candidate_words = words(candidate.name)
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score = len(search_words & candidate_words) / len(search_words)
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if score > best_score:
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best_score = score
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best_match = candidate
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return best_match
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def find_replacement(old_path):
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p = Path(old_path)
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# Find the second "music" directory
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music_idx = p.parts.index("music", p.parts.index("music") + 1)
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folder_count = len(p.parts) - music_idx - 2
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logger.debug(f"Folder Count Index: {folder_count}")
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try:
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artist = p.parts[len(WORKDIR.parts) + 1] # /music/Artist/Album/File
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logger.debug(f"Artist: {artist}")
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except IndexError:
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logger.error(f"No Artist found for {p}")
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return None
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artist_dir = find_folder(MUSIC_DIR, artist)
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logger.debug(f"Artist path: {artist_dir}")
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if not artist_dir.exists():
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logger.error(f"Artist dir {artist_dir} dors not exist")
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return None
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search_dir = artist_dir
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if folder_count >= 2:
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try:
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album = p.parts[len(WORKDIR.parts) + 2] # .../Artist/Album/File
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logger.debug(f"Album: {album}")
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except IndexError:
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logger.error(f"No album found for {p}")
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return None
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album_dir = find_folder(artist_dir, album)
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logger.debug(f"Album path: {album_dir}")
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if not album_dir.exists():
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logger.error(f"Album dir for '{album}' does not exist")
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return None
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search_dir = album_dir
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if folder_count >= 3:
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try:
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subalbum = p.parts[len(WORKDIR.parts) + 3] # .../Artist/Album/File
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logger.debug(f"Sub-Album: {subalbum}")
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except IndexError:
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logger.error(f"No Sub-Album found for {p}")
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return None
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subalbum_dir = find_folder(album_dir, subalbum)
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logger.debug(f"Sub-Album path: {subalbum_dir}")
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if not subalbum_dir.exists():
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logger.error(f"Sub-Album dir for '{subalbum}' does not exist")
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return None
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search_dir = subalbum_dir
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search_words = words(p.stem)
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logger.debug(f"Search words {search_words}")
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best_match = None
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best_score = 0
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for root, _, files in os.walk(search_dir):
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for filename in files:
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candidate = Path(root) / filename
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candidate_parts = candidate.stem.split(" - ")
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logger.trace(f"Candidate: {candidate}")
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logger.trace(f"parts: {candidate_parts}")
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if candidate.suffix.lower() not in AUDIO_EXTS:
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continue
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if len(candidate_parts) == 4:
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logger.trace(f"Lidarr Filename: {len(candidate_parts)} ")
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candidate_words = words(" ".join(candidate_parts[2:]))
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score = score_match(search_words, candidate_words)
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logger.trace(
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f"search: {search_words} candidates: {candidate_words}, score/best {score} / {best_score}"
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)
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if score > best_score:
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best_score = score
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best_match = candidate
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else:
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continue
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logger.trace(f"Fallback Filename: {len(candidate_parts)} ")
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candidate_words = words(candidate.stem)
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score = score_match(search_words, candidate_words)
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logger.trace(f"words: {candidate_words} {score / {best_score}}")
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if score > best_score:
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best_score = score
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best_match = candidate
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# Require all words to match
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if best_match and best_score > score_threshold:
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logger.info(f"Best Match: {best_match}")
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return str(best_match)
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logger.error(
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f"No match found with score greater {score_treshold}, best match: {best_score}:{best_match}"
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)
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return None
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def main():
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for playlist in Path(PLAYLIST_DIR).glob("*.m3u"):
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logger.info(f"\nProcessing {playlist}")
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changed = False
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output = []
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with open(playlist, "r", encoding="utf-8", errors="ignore") as f:
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lines = f.readlines()
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for line in lines:
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if not line or line.startswith("#"):
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output.append(line)
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continue
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path = WORKDIR / Path(line.strip()).relative_to("/")
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if not path.is_absolute() or path.exists():
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output.append(path)
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continue
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logger.info(f"Missing: {path}")
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replacement = find_replacement(path)
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if replacement:
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logger.info(f" -> Found: {replacement}")
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output.append(replacement + "\n")
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changed = True
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else:
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logger.warning(f" -> No match for {path}")
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output.append(line)
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exit()
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if changed and not dry_run:
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backup = playlist.with_suffix(playlist.suffix + ".bak")
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if not backup.exists():
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backup.write_text(
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playlist.read_text(encoding="utf-8"), encoding="utf-8"
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)
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with open(playlist, "w", encoding="utf-8") as f:
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f.writelines(output)
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logger.info("Updated playlist")
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if __name__ == "__main__":
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main()
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