mirror of
https://github.com/denizsafak/abogen.git
synced 2026-07-18 13:40:27 +02:00
Artem Akymenko
c094b94704
- Normalize Pipeline public API: create_pipeline(plugin_id, *, lang_code, device) - EngineConfig: add lang_code field per Architecture Amendment #1 - Kokoro plugin reads config.lang_code (fixes functional regression) - Static voice catalog in PluginManifest.voices (None = dynamic/VoiceLister) - get_voices() reads from manifest without creating Engine - Remove dead kwargs (sample_rate, auto_download, total_steps) from SuperTonic - Clean up unused imports and dead code in engine implementations - Fix test expectations for VoiceLister (mock overrides) - Add clear_preview_pipelines() for resource management
53 lines
1.3 KiB
Python
53 lines
1.3 KiB
Python
from types import SimpleNamespace
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from typing import cast
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from abogen.tts_plugin.utils import get_voices
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from abogen.webui.conversion_runner import (
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_chapter_voice_spec,
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_chunk_voice_spec,
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_collect_required_voice_ids,
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)
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from abogen.webui.service import Job
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def _sample_job(formula: str) -> Job:
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return cast(
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Job,
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SimpleNamespace(
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voice="__custom_mix",
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speakers={
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"narrator": {
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"resolved_voice": formula,
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}
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},
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chapters=[],
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chunks=[{}],
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),
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)
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def test_chapter_voice_spec_uses_resolved_formula():
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formula = "af_nova*0.7+am_liam*0.3"
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job = _sample_job(formula)
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assert _chapter_voice_spec(job, None) == formula
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def test_chunk_voice_fallback_uses_resolved_formula():
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formula = "af_nova*0.7+am_liam*0.3"
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job = _sample_job(formula)
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result = _chunk_voice_spec(job, {}, "")
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assert result == formula
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def test_voice_collection_includes_formula_components():
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formula = "af_nova*0.7+am_liam*0.3"
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job = _sample_job(formula)
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voices = _collect_required_voice_ids(job)
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assert {"af_nova", "am_liam"}.issubset(voices)
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assert voices.issuperset(get_voices("kokoro"))
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