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379 lines
13 KiB
Python
379 lines
13 KiB
Python
"""Moves "featured" artists to the title from the artist field."""
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from __future__ import annotations
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import re
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from functools import cached_property, lru_cache
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from typing import TYPE_CHECKING
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from beets import config, plugins, ui
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if TYPE_CHECKING:
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from beets.autotag import AlbumInfo, Info, TrackInfo
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from beets.importer import ImportSession, ImportTask
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from beets.library import Album, Item
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DEFAULT_BRACKET_KEYWORDS: tuple[str, ...] = (
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"abridged",
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"acapella",
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"club",
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"demo",
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"edit",
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"edition",
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"extended",
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"instrumental",
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"live",
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"mix",
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"radio",
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"release",
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"remaster",
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"remastered",
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"remix",
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"rmx",
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"unabridged",
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"unreleased",
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"version",
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"vip",
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)
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def _split_on_feat_token(
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regex: re.Pattern[str], artist: str
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) -> tuple[str, str] | None:
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match = regex.search(artist)
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if not match:
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return None
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left = artist[: match.start()].strip()
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right = artist[match.end() :].strip()
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opener = match.group(0)[0]
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if opener == "(":
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closing = ")"
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elif opener == "[":
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closing = "]"
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else:
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closing = None
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if closing:
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if right.endswith(closing):
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right = right[:-1].strip()
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else:
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left = f"{left} {opener}".strip()
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return left, right
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def split_on_feat(
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artist: str, for_artist: bool = True, custom_words: list[str] | None = None
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) -> tuple[str, str | None]:
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"""Given an artist string, split the "main" artist from any artist
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on the right-hand side of a string like "feat". Return the main
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artist, which is always a string, and the featuring artist, which
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may be a string or None if none is present.
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"""
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# Try explicit featuring tokens first (ft, feat, featuring, etc.)
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# to avoid splitting on generic separators like "&" when both are present
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regex_explicit = re.compile(
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plugins.feat_tokens(for_artist=False, custom_words=custom_words),
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re.IGNORECASE,
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)
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parts = _split_on_feat_token(regex_explicit, artist)
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if parts:
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return parts
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# Try comma as separator
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# (e.g. "Alice, Bob & Charlie" where Bob and Charlie are featuring)
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if for_artist and "," in artist:
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comma_parts = artist.split(",", 1)
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return comma_parts[0].strip(), comma_parts[1].strip()
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# Fall back to all tokens including generic separators if no explicit match
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if for_artist:
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regex = re.compile(
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plugins.feat_tokens(for_artist, custom_words), re.IGNORECASE
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)
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parts = _split_on_feat_token(regex, artist)
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if parts:
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return parts
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return artist.strip(), None
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def contains_feat(title: str, custom_words: list[str] | None = None) -> bool:
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"""Determine whether the title contains a "featured" marker."""
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return bool(
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re.search(
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plugins.feat_tokens(for_artist=False, custom_words=custom_words),
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title,
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flags=re.IGNORECASE,
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)
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)
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def find_feat_part(
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artist: str, albumartist: str | None, custom_words: list[str] | None = None
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) -> str | None:
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"""Attempt to find featured artists in the item's artist fields and
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return the results. Returns None if no featured artist found.
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"""
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# If the album artist is featured, move the remaining artist to the title.
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artist_part, feat_part = split_on_feat(artist, custom_words=custom_words)
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if albumartist and feat_part == albumartist and artist_part:
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return artist_part
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# Handle a wider variety of extraction cases if the album artist is
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# contained within the track artist.
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if albumartist and albumartist in artist:
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albumartist_split = artist.split(albumartist, 1)
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# If the last element of the split (the right-hand side of the
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# album artist) is nonempty, then it probably contains the
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# featured artist.
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if albumartist_split[1] != "":
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# Extract the featured artist from the right-hand side.
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_, feat_part = split_on_feat(
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albumartist_split[1], custom_words=custom_words
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)
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return feat_part
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# Otherwise, if there's nothing on the right-hand side,
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# look for a featuring artist on the left-hand side.
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lhs, _ = split_on_feat(albumartist_split[0], custom_words=custom_words)
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if lhs:
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return lhs
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# Fall back to conservative handling of the track artist without relying
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# on albumartist, which covers compilations using a 'Various Artists'
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# albumartist and album tracks by a guest artist featuring a third artist.
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_, feat_part = split_on_feat(artist, False, custom_words)
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return feat_part
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def _album_artist_no_feat(album: Album) -> str:
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custom_words = config["ftintitle"]["custom_words"].as_str_seq()
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return split_on_feat(album["albumartist"], False, list(custom_words))[0]
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class FtInTitlePlugin(plugins.BeetsPlugin):
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@cached_property
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def auto(self) -> bool:
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return self.config["auto"].get(bool)
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@cached_property
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def drop_feat(self) -> bool:
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return self.config["drop"].get(bool)
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@cached_property
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def feat_format(self) -> str:
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return self.config["format"].as_str()
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@cached_property
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def keep_in_artist_field(self) -> bool:
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return self.config["keep_in_artist"].get(bool)
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@cached_property
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def preserve_album_artist(self) -> bool:
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return self.config["preserve_album_artist"].get(bool)
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@cached_property
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def custom_words(self) -> list[str]:
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return self.config["custom_words"].as_str_seq()
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@cached_property
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def bracket_keywords(self) -> list[str]:
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return self.config["bracket_keywords"].as_str_seq()
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@staticmethod
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@lru_cache(maxsize=256)
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def _bracket_position_pattern(keywords: tuple[str, ...]) -> re.Pattern[str]:
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"""
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Build a compiled regex to find the first bracketed segment that contains
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any of the provided keywords.
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Cached by keyword tuple to avoid recompiling on every track/title.
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"""
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kw_inner = "|".join(map(re.escape, keywords))
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# If we have keywords, require one of them to appear in the bracket text.
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# If kw == "", the lookahead becomes true and we match any bracket content.
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kw = rf"\b(?={kw_inner})\b" if kw_inner else ""
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return re.compile(
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rf"""
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(?: # non-capturing group for the split
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\s*? # optional whitespace before brackets
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(?= # any bracket containing a keyword
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\([^)]*{kw}.*?\)
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| \[[^]]*{kw}.*?\]
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| <[^>]*{kw}.*? >
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| \{{[^}}]*{kw}.*?\}}
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| $ # or the end of the string
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)
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)
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""",
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re.IGNORECASE | re.VERBOSE,
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)
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def __init__(self) -> None:
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super().__init__()
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self.config.add(
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{
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"auto": True,
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"drop": False,
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"format": "feat. {}",
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"keep_in_artist": False,
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"preserve_album_artist": True,
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"custom_words": [],
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"bracket_keywords": list(DEFAULT_BRACKET_KEYWORDS),
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}
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)
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self._command = ui.Subcommand(
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"ftintitle", help="move featured artists to the title field"
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)
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self._command.parser.add_option(
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"-d",
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"--drop",
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dest="drop",
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action="store_true",
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default=None,
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help="drop featuring from artists and ignore title update",
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)
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self.import_stages = [self.imported]
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if self.auto:
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self.register_listener(
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"trackinfo_received", self.trackinfo_received
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)
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self.register_listener(
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"albuminfo_received", self.albuminfo_received
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)
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self.album_template_fields["album_artist_no_feat"] = (
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_album_artist_no_feat
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)
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def commands(self) -> list[ui.Subcommand]:
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def func(lib, opts, args):
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self.config.set_args(opts)
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write = ui.should_write()
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for item in lib.items(args):
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if self.ft_in_title(item, item.get("albumartist") or ""):
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item.store()
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if write:
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item.try_write()
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self._command.func = func
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return [self._command]
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def imported(self, session: ImportSession, task: ImportTask) -> None:
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"""Import hook for moving featuring artist automatically."""
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if not self.auto:
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return
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for item in task.imported_items():
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if self.ft_in_title(item, item.get("albumartist") or ""):
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item.store()
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def update_metadata(self, metadata: Item | Info, feat_part: str) -> bool:
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"""Choose how to add new artists to the title and set the new
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metadata. Also, print out messages about any changes that are made.
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If `drop_feat` is set, then do not add the artist to the title; just
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remove it from the artist field.
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"""
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changed = False
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artist = metadata.get("artist") or ""
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# In case the artist is kept, do not update the artist fields.
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if self.keep_in_artist_field:
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self._log.info(
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"artist: {} (Not changing due to keep_in_artist)", artist
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)
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else:
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track_artist, _ = split_on_feat(
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artist, custom_words=self.custom_words
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)
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self._log.info("artist: {} -> {}", artist, track_artist)
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metadata["artist"] = track_artist
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changed |= artist != track_artist
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if artist_sort := metadata.get("artist_sort"):
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# Just strip the featured artist from the sort name.
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artist_sort_no_feat, _ = split_on_feat(
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artist_sort, custom_words=self.custom_words
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)
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metadata["artist_sort"] = artist_sort_no_feat
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changed |= artist_sort != artist_sort_no_feat
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# Only update the title if it does not already contain a featured
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# artist and if we do not drop featuring information.
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title = metadata.get("title") or ""
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if not self.drop_feat and not contains_feat(title, self.custom_words):
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formatted = self.feat_format.format(feat_part)
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new_title = self.insert_ft_into_title(
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title, formatted, self.bracket_keywords
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)
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self._log.info("title: {} -> {}", title, new_title)
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metadata["title"] = new_title
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changed |= title != new_title
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return changed
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def trackinfo_received(self, info: TrackInfo) -> None:
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"""Move featuring artists in fetched singleton metadata."""
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self.ft_in_title(info, "")
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def albuminfo_received(self, info: AlbumInfo) -> None:
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"""Move featuring artists in fetched album track metadata."""
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albumartist = info.get("artist") or ""
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for track_info in info.tracks:
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self.ft_in_title(track_info, albumartist)
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def ft_in_title(self, item: Item | Info, albumartist: str) -> bool:
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"""Look for featured artists in the item's artist fields and move them
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to the title.
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Returns:
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True if the item has been modified. False otherwise.
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"""
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artist = (item.get("artist") or "").strip()
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albumartist = albumartist.strip()
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if not self._has_feat_candidate(artist, albumartist):
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return False
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if hasattr(item, "filepath"):
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self._log.info("{.filepath}", item)
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feat_part = find_feat_part(artist, albumartist, self.custom_words)
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if not feat_part:
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self._log.info("no featuring artists found")
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return False
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return self.update_metadata(item, feat_part)
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def _has_feat_candidate(self, artist: str, albumartist: str | None) -> bool:
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albumartist = (albumartist or "").strip()
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if self.preserve_album_artist and albumartist and artist == albumartist:
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return False
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for_artist = not albumartist or albumartist in artist
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_, featured = split_on_feat(
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artist, for_artist=for_artist, custom_words=self.custom_words
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)
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return bool(featured)
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@classmethod
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def insert_ft_into_title(
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cls, title: str, feat_part: str, keywords: list[str] | None = None
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) -> str:
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"""Insert featured artist before the first bracket containing
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remix/edit keywords if present.
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"""
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normalized = (
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DEFAULT_BRACKET_KEYWORDS if keywords is None else tuple(keywords)
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)
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pattern = cls._bracket_position_pattern(normalized)
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parts = pattern.split(title, maxsplit=1)
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return f" {feat_part} ".join(parts).strip()
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