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https://github.com/denizsafak/abogen.git
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chore: remove dead test files and deleted conversion_adapter
All 8 deleted test files were duplicates of existing domain tests: - test_chapter_overrides → covered by test_chapter_merge_normalize - test_conversion_chapter_titles → covered by test_chapter_titles - test_conversion_series → covered by test_title_builder - test_conversion_voice_resolution → covered by test_voice_resolution - test_voice_cache → covered by test_voice_resolution - test_manual_overrides_applied_first → covered by test_pronunciation - test_conversion_adapters → tested deleted conversion_adapter module - test_import_layering → tested deleted conversion_adapter module Also removed deleted conversion_adapter.py (logic moved to conversion_runner).
This commit is contained in:
Artem Akymenko
@@ -1,202 +0,0 @@
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"""WebUI adapter: Job -> ConversionRequest.
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Converts a WebUI Job into a ConversionRequest that the application layer can process.
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This adapter is the bridge between the WebUI layer and the application/domain layer.
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The adapter is responsible for:
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- Mapping Job fields to ConversionRequest fields
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- Handling UI-specific state (logs, progress, cancellation)
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- Providing PipelineProvider and VoiceResolver implementations
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All conversions happen through this adapter — the application layer
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never accesses Job directly.
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"""
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from __future__ import annotations
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from pathlib import Path
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from typing import Any, Callable, Dict, List, Optional
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from abogen.application.conversion_config import (
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ChapterChunkConfig,
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Epub3ExportConfig,
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PronunciationConfig,
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WordSubstitutionConfig,
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)
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from abogen.application.conversion_request import ConversionRequest
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from abogen.application.conversion_ports import ConversionCancelled, ResolvedVoice
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def build_conversion_request_from_job(job: Any) -> ConversionRequest:
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"""Convert a WebUI Job into a ConversionRequest.
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This is the primary function that maps Job fields to ConversionRequest.
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All fields are copied — the request is independent of the Job.
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Args:
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job: WebUI Job instance
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Returns:
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ConversionRequest with all Job data mapped
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"""
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# Build word substitution config
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word_substitution = None
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if getattr(job, "word_substitutions_enabled", False):
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word_substitution = WordSubstitutionConfig(
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substitutions_list=getattr(job, "word_substitutions_list", ""),
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case_sensitive=getattr(job, "case_sensitive_substitutions", False),
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replace_caps=getattr(job, "replace_all_caps", False),
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replace_numerals=getattr(job, "replace_numerals", False),
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fix_punctuation=getattr(job, "fix_nonstandard_punctuation", False),
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)
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# Build pronunciation config
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pronunciation = None
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pron_overrides = job.pronunciation_overrides or []
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manual_overrides = job.manual_overrides or []
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heteronym_overrides = job.heteronym_overrides or []
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norm_overrides = job.normalization_overrides or None
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if pron_overrides or manual_overrides or heteronym_overrides or norm_overrides:
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pronunciation = PronunciationConfig(
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pronunciation_overrides=pron_overrides,
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manual_overrides=manual_overrides,
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heteronym_overrides=heteronym_overrides,
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normalization_overrides=norm_overrides,
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)
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# Build chapter/chunk config
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chapter_chunk = ChapterChunkConfig(
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chapter_overrides=job.chapters or [],
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chunks=job.chunks or [],
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chunk_level=job.chunk_level,
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speaker_mode=job.speaker_mode,
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speakers=job.speakers or {},
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)
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# Build epub3 config
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epub3_export = None
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if getattr(job, "generate_epub3", False):
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epub3_export = Epub3ExportConfig(
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book_id=getattr(job, "id", ""),
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)
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return ConversionRequest(
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# Source
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source_path=Path(job.stored_path) if job.stored_path else None,
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original_filename=job.original_filename,
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# TTS Settings
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language=job.language,
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tts_provider=job.tts_provider,
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voice=job.voice,
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voice_profile=job.voice_profile,
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speed=job.speed,
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use_gpu=job.use_gpu,
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supertonic_total_steps=job.supertonic_total_steps,
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# Output Format
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output_format=job.output_format,
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subtitle_mode=job.subtitle_mode,
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subtitle_format=job.subtitle_format,
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max_subtitle_words=job.max_subtitle_words,
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# Save Options
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save_mode=job.save_mode,
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output_folder=Path(job.output_folder) if job.output_folder else None,
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save_chapters_separately=job.save_chapters_separately,
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merge_chapters_at_end=job.merge_chapters_at_end,
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separate_chapters_format=job.separate_chapters_format,
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save_as_project=job.save_as_project,
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# Timing
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silence_between_chapters=job.silence_between_chapters,
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chapter_intro_delay=job.chapter_intro_delay,
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# Content Processing
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replace_single_newlines=job.replace_single_newlines,
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read_title_intro=job.read_title_intro,
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read_closing_outro=job.read_closing_outro,
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auto_prefix_chapter_titles=job.auto_prefix_chapter_titles,
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normalize_chapter_opening_caps=job.normalize_chapter_opening_caps,
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# Metadata
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metadata_tags=job.metadata_tags or {},
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# Artifacts
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cover_image_path=Path(job.cover_image_path) if job.cover_image_path else None,
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cover_image_mime=job.cover_image_mime,
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# Feature configs
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word_substitution=word_substitution,
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pronunciation=pronunciation,
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chapter_chunk=chapter_chunk,
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epub3_export=epub3_export,
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)
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class WebJobEvents:
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"""WebUI implementation of ConversionEvents protocol.
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Wraps a Job to provide logging, progress, and cancellation.
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"""
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def __init__(self, job: Any):
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self._job = job
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def log(self, message: str, level: str = "info") -> None:
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"""Log a message to the Job."""
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self._job.add_log(message, level=level)
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def progress(self, pct: int, etr: str) -> None:
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"""Update progress on the Job."""
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self._job.progress = pct / 100.0
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self._job.etr_str = etr
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def check_cancelled(self) -> None:
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"""Check if the Job was cancelled.
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Raises:
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ConversionCancelled: If cancellation was requested
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"""
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if self._job.cancel_requested:
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raise ConversionCancelled("Job cancelled by user")
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class WebPipelineProvider:
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"""WebUI implementation of PipelineProvider protocol.
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Wraps PipelinePool to provide TTS backends.
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"""
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def __init__(self, pipeline_pool: Any):
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self._pool = pipeline_pool
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def get(self, provider: str, language: str, use_gpu: bool) -> Any:
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"""Get a TTS backend instance."""
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return self._pool.get(provider, language, use_gpu)
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def dispose_all(self) -> None:
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"""Dispose all backend resources."""
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self._pool.dispose_all()
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class WebVoiceResolver:
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"""WebUI implementation of VoiceResolver protocol.
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Wraps the voice resolution logic from conversion_runner.py.
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"""
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def __init__(
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self,
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resolve_fn: Callable[[str], tuple[str, str, Any, Optional[float], Optional[int]]],
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):
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"""Initialize with a voice resolution function.
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Args:
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resolve_fn: Function that takes a voice_spec and returns
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(provider, resolved_spec, voice_choice, speed, steps)
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"""
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self._resolve_fn = resolve_fn
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def resolve(self, voice_spec: str) -> ResolvedVoice:
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"""Resolve a voice spec into a loaded voice."""
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provider, resolved_spec, voice, speed, steps = self._resolve_fn(voice_spec)
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return ResolvedVoice(
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provider=provider,
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resolved_spec=resolved_spec,
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voice=voice,
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speed=speed or 1.0,
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supertonic_steps=steps or 5,
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)
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