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- EngineConfig.language: Language (was lang_code: str = 'a') - Engine owns _KOKORO_LANG_MAP, engine_language(), supported_languages() - Engine provides language_for_voice_id() for voice catalog - Plugins/kokoro/__init__.py calls engine_language() internally - create_pipeline(plugin_id, language=Language) — no kokoro codes - pipeline_factory.py clean of kokoro-specific code - Domain functions raise TypeError if non-enum passed - WebUI api.py: _parse_language() helper at API boundary - Voice catalog returns ISO codes (lang.value) - Constants: LANGUAGE_DESCRIPTIONS keyed by Language enum - All tests updated for Language enum - 1414 tests pass
62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
from abogen.domain.enums import Language
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from abogen.webui.routes.utils import synthesize
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def test_preview_applies_manual_override_before_normalization(monkeypatch):
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# Don't run real TTS/normalization; just exercise the override stage by
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# forcing provider=kokoro and then stubbing normalize_for_pipeline.
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monkeypatch.setattr(synthesize, "get_preview_pipeline", lambda language, device: None)
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# Stub normalize_for_pipeline to be identity; we only care that overrides run.
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class _Norm:
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@staticmethod
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def normalize_for_pipeline(text):
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return text
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monkeypatch.setitem(
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__import__("sys").modules, "abogen.kokoro_text_normalization", _Norm
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)
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# And stub the kokoro pipeline path so generate_preview_audio won't proceed.
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# We'll instead validate by calling the override logic through generate_preview_audio
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# with provider=supertonic and stub create_backend to capture input.
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captured = {}
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class DummyPipeline:
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def __init__(self, **kwargs):
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pass
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def __call__(self, text, **kwargs):
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captured["text"] = text
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return iter(())
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from abogen.tts_plugin import utils
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original_create_pipeline = utils.create_pipeline
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def _mock_create_pipeline(backend_id, **kwargs):
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if backend_id == "supertonic":
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return DummyPipeline(**kwargs)
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return original_create_pipeline(backend_id, **kwargs)
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monkeypatch.setattr(utils, "create_pipeline", _mock_create_pipeline)
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try:
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synthesize.generate_preview_audio(
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text="He said Unfu*k loudly.",
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voice_spec="M1",
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language=Language.EN_US,
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speed=1.0,
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use_gpu=False,
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tts_provider="supertonic",
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manual_overrides=[{"token": "Unfu*k", "pronunciation": "Unfuck"}],
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)
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except Exception:
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# generate_preview_audio will raise because no audio chunks; that's fine.
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pass
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assert "text" in captured
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assert "Unfuck" in captured["text"]
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assert "Unfu*k" not in captured["text"]
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