fix(tracks): keep regional language variants distinct in exact selection

by_language now applies RFC 4647 Lookup in exact mode, preferring the string-equal tag so --exact-lang separates base/regional pairs (ar/ar-EG, en/en-US) instead of collapsing them, and dedupes by id to prevent the duplicate-track-id crash. Adds a language-selection regression test.
This commit is contained in:
imSp4rky
2026-07-14 09:17:22 -06:00
parent 1cf9e5b487
commit b8ec9e2498
4 changed files with 149 additions and 14 deletions
@@ -0,0 +1,123 @@
"""Regression: exact-lang must distinguish a base language from its regional variant.
Reproduced with `--exact-lang --lang ar,ar-EG` against a streaming manifest that carries a
distinct `ar` ("Arabic") and `ar-EG` ("Arabic (Egypt)") audio track. CLDR tag_distance measures
intelligibility, not tag identity: it rates a base language and its "paradigm" regional variant
as the same language at distance 0 (ar/ar-EG, en/en-US, pt/pt-BR). Plain distance matching then
resolved both requested tags to the same track, dropping one variant and appending the other
twice, which crashed Tracks() reconstruction.
In exact mode by_language follows RFC 4647 Lookup: it prefers the most specific (string-equal)
tag, so each tag routes to its own track. It still falls back to the fuzzy match for pure aliases
(zh matches cmn) and the lenient base-to-regional case (en finds en-US when only en-US exists).
Distances above 0 (es/es-419, fr/fr-CA) were never collapsed and stay strict.
"""
from __future__ import annotations
import pytest
from unshackle.core.tracks import Audio
from unshackle.core.tracks.tracks import Tracks
from unshackle.core.utilities import is_exact_match
# Base language vs regional variant that CLDR rates at distance 0 (paradigm locales). These are
# the pairs that collapse under naive exact matching.
COLLAPSING_PAIRS = [
("ar", "ar-EG"), ("en", "en-US"), ("pt", "pt-BR"), ("fr", "fr-FR"),
("es", "es-ES"), ("de", "de-DE"), ("it", "it-IT"),
]
# Pairs CLDR rates at distance >0, which exact matching already separates. Never collapsed.
# Includes two-regional splits (no bare base) as services more commonly ship them.
DISTINCT_PAIRS = [
("es", "es-419"), ("fr", "fr-CA"), ("fr-FR", "fr-CA"), ("pt-PT", "pt-BR"), ("es-ES", "es-419"),
("en-US", "en-GB"), ("de-DE", "de-AT"), ("it-IT", "it-CH"), ("es-419", "es-AR"), ("no", "nn"),
]
# A full real-world audio language set for one title, the kind of mix a streaming manifest ships,
# which must resolve 1:1 with no collision or loss. Tags are drawn from published streaming
# language references (Warner Bros. Discovery / Netflix) and include regional and script variants.
REAL_WORLD_AUDIO_LANGS = [
"ar", "ar-EG", "ar-SA", "bn-IN", "cmn-TW", "cs", "da", "de", "de-AT", "de-CH", "el", "en",
"en-GB", "en-AU", "es-419", "es-AR", "es-ES", "fi", "fr-CA", "fr-FR", "he", "hi", "hu", "id",
"it", "it-CH", "ja", "ko", "nl", "no", "pl", "pt-BR", "pt-PT", "ro", "ru", "sk", "sr",
"sr-Latn", "sv", "ta", "th", "tr", "uk", "vi", "yue", "zh-Hans", "zh-Hant",
]
def _mk(*tags):
return [Audio("https://x", language=t, id_=t) for t in tags]
def _select(tags, pool, exact=True):
return [(t.id, str(t.language)) for t in Tracks.by_language(pool, tags, per_language=1, exact_match=exact)]
@pytest.mark.parametrize("base,reg", COLLAPSING_PAIRS)
def test_collapsing_pairs_are_distance_zero(base, reg):
# Root cause: the regional variant exact-matches the base request (CLDR paradigm data).
assert is_exact_match(base, [reg]) is True
@pytest.mark.parametrize("base,reg", DISTINCT_PAIRS)
def test_distinct_pairs_are_not_distance_zero(base, reg):
# Contrast: these never collapse, which is why the bug was language-specific.
assert is_exact_match(base, [reg]) is False
@pytest.mark.parametrize("base,reg", COLLAPSING_PAIRS)
def test_exact_lang_selects_distinct_collapsing_variants(base, reg):
# Both tracks present + both tags requested: each tag must route to its own track.
assert _select([base, reg], _mk(base, reg)) == [(base, base), (reg, reg)]
@pytest.mark.parametrize("base,reg", DISTINCT_PAIRS)
def test_exact_lang_distinct_regionals_still_work(base, reg):
assert _select([base, reg], _mk(base, reg)) == [(base, base), (reg, reg)]
def test_exact_lang_lenient_base_to_regional_fallback():
# Only the regional present; a base request must still find it when CLDR rates them equal.
assert _select(["en"], _mk("en-US")) == [("en-US", "en-US")]
# Alias with no string-equal track must still resolve (zh -> cmn).
assert _select(["zh"], _mk("cmn")) == [("cmn", "cmn")]
def test_exact_lang_stays_strict_for_nonzero_distance():
# `es` does NOT accept `es-419` in exact mode (distance 5), but fuzzy mode does.
assert _select(["es"], _mk("es-419")) == []
assert _select(["es"], _mk("es-419"), exact=False) == [("es-419", "es-419")]
@pytest.mark.parametrize("base,reg", COLLAPSING_PAIRS)
def test_overlapping_tags_never_duplicate_in_fuzzy_mode(base, reg):
# Non-exact still collapses base/regional, but must dedupe rather than return a track twice.
selected = Tracks.by_language(_mk(base, reg), [base, reg], per_language=1, exact_match=False)
assert len({t.id for t in selected}) == len(selected)
def test_exact_lang_three_way_base_and_two_regionals():
# fr (base, dist 0 to fr-FR) + fr-FR + fr-CA (dist 4): all three must resolve distinctly.
assert _select(["fr", "fr-FR", "fr-CA"], _mk("fr", "fr-FR", "fr-CA")) == [
("fr", "fr"),
("fr-FR", "fr-FR"),
("fr-CA", "fr-CA"),
]
# Base request with no bare-tag track falls back to its paradigm regional, without stealing
# the sibling regional (fr -> fr-FR, not fr-CA).
assert _select(["fr", "fr-CA"], _mk("fr-FR", "fr-CA")) == [("fr-FR", "fr-FR"), ("fr-CA", "fr-CA")]
@pytest.mark.parametrize("tag", REAL_WORLD_AUDIO_LANGS)
def test_full_language_set_each_tag_resolves_to_itself(tag):
# Against a full real-world language pool, every exact request must return its own track, so
# that no tag captures another's: ar-EG must resolve to ar-EG, never to ar.
pool = _mk(*REAL_WORLD_AUDIO_LANGS)
assert _select([tag], pool) == [(tag, tag)]
def test_full_language_set_selects_every_track_once():
pool = _mk(*REAL_WORLD_AUDIO_LANGS)
selected = Tracks.by_language(pool, REAL_WORLD_AUDIO_LANGS, per_language=1, exact_match=True)
assert len(selected) == len(REAL_WORLD_AUDIO_LANGS)
assert {t.id for t in selected} == set(REAL_WORLD_AUDIO_LANGS)
+4 -1
View File
@@ -1622,7 +1622,10 @@ class dl:
selected.append(descs[0])
else:
selected.append(candidates[0])
return selected
# Built via per-tag by_language calls, so overlapping tags can append
# the same track across iterations; dedupe by id.
seen_ids: set[str] = set()
return [t for t in selected if not (t.id in seen_ids or seen_ids.add(t.id))]
music_group_download = (
bool(music_titles)
+2 -6
View File
@@ -61,9 +61,7 @@ class Title:
returned dict with their specific fields (e.g., season/episode).
"""
primary_video_track = next(iter(media_info.video_tracks), None)
original_lang_tag = (
str(self.language).split("-")[0].lower() if self.language else ""
)
original_lang_tag = str(self.language).split("-")[0].lower() if self.language else ""
primary_audio_track = None
if original_lang_tag:
primary_audio_track = next(
@@ -170,9 +168,7 @@ class Title:
channel_count = primary_audio_track.channel_s or primary_audio_track.channels or 0
channels = float(channel_count)
has_atmos = any(
"JOC" in (t.format_additionalfeatures or "") or t.joc for t in media_info.audio_tracks
)
has_atmos = any("JOC" in (t.format_additionalfeatures or "") or t.joc for t in media_info.audio_tracks)
context.update(
{
+20 -7
View File
@@ -443,13 +443,26 @@ class Tracks:
tracks: list[TrackT], languages: list[str], per_language: int = 0, exact_match: bool = False
) -> list[TrackT]:
distance = LANGUAGE_EXACT_DISTANCE if exact_match else LANGUAGE_MAX_DISTANCE
selected = []
selected: list[TrackT] = []
seen_ids: set[str] = set()
for language in languages:
selected.extend(
[x for x in tracks if closest_supported_match(str(x.language), [language], distance)][
: per_language or None
]
)
matches = [x for x in tracks if closest_supported_match(str(x.language), [language], distance)]
if exact_match and len(matches) > 1:
# CLDR tag_distance measures intelligibility, not tag identity: it rates a base
# language and its "paradigm" regional variant as the same language (distance 0
# for ar/ar-EG, en/en-US, pt/pt-BR), so exact mode alone cannot separate them.
# Follow RFC 4647 Lookup: prefer the most specific (string-equal) tag, and fall
# back to the fuzzy match only when none exists (e.g. zh matches cmn).
want = Language.get(language).to_tag().casefold()
exact_hits = [x for x in matches if Language.get(str(x.language)).to_tag().casefold() == want]
if exact_hits:
matches = exact_hits
# Overlapping tags can still resolve to the same physical track; dedupe by id so
# callers never get duplicate tracks.
for track in matches[: per_language or None]:
if track.id not in seen_ids:
seen_ids.add(track.id)
selected.append(track)
return selected
def mux(
@@ -694,7 +707,7 @@ class Tracks:
log_event(
"mux_start",
level="INFO",
message=(f"Muxing {len(self.videos)}V/{len(self.audio)}A/{len(self.subtitles)}S " f"-> {output_path.name}"),
message=(f"Muxing {len(self.videos)}V/{len(self.audio)}A/{len(self.subtitles)}S -> {output_path.name}"),
context={
"title": title,
"output_path": str(output_path),