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64 lines
1.7 KiB
Python
64 lines
1.7 KiB
Python
from pathlib import Path
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from werkzeug.datastructures import MultiDict
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from abogen.web.routes import _apply_prepare_form
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from abogen.web.service import PendingJob
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def _make_pending_job() -> PendingJob:
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return PendingJob(
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id="pending",
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original_filename="example.epub",
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stored_path=Path("example.epub"),
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language="a",
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voice="af_nova",
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speed=1.0,
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use_gpu=False,
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subtitle_mode="none",
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output_format="mp3",
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save_mode="save_next_to_input",
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output_folder=None,
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replace_single_newlines=False,
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subtitle_format="srt",
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total_characters=0,
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save_chapters_separately=False,
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merge_chapters_at_end=True,
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separate_chapters_format="wav",
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silence_between_chapters=2.0,
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save_as_project=False,
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voice_profile=None,
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max_subtitle_words=50,
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metadata_tags={},
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chapters=[],
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created_at=0.0,
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read_title_intro=False,
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normalize_chapter_opening_caps=True,
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)
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def test_apply_prepare_form_handles_custom_mix_for_speakers():
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pending = _make_pending_job()
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pending.speakers = {
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"hero": {
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"id": "hero",
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"label": "Hero",
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}
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}
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form = MultiDict(
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{
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"chapter_intro_delay": "0.5",
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"speaker-hero-voice": "__custom_mix",
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"speaker-hero-formula": "af_nova*0.6+am_liam*0.4",
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}
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)
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_, _, _, errors, *_ = _apply_prepare_form(pending, form)
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assert not errors
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hero = pending.speakers["hero"]
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assert hero["voice_formula"] == "af_nova*0.6+am_liam*0.4"
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assert hero["resolved_voice"] == "af_nova*0.6+am_liam*0.4"
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assert "voice" not in hero or hero["voice"] != "__custom_mix"
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