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background_workers.py
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270 lines (220 loc) · 9.11 KB
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"""Background workers for expensive controller operations."""
from pathlib import Path
from xml.sax.saxutils import escape
from PyQt6.QtCore import QObject, pyqtSignal
from loguru import logger
from app.model.app_settings import AppSettings
from app.model.scraper.document_scraper import DocumentScraper
from app.model.ssml.narration_markup import (
build_narration_ssml,
has_narration_markup,
render_plain_narration_text,
)
from app.model.ssml.text_to_ssml import TextToSSML
from app.model.tts_providers import get_provider_display_name
from app.utils.text_cleaner import TextCleaner
def create_tts_processor(provider_config):
"""Create the TTS processor only when audio generation is requested."""
from app.model.processors.tts_processor import TTSProcessor
return TTSProcessor(provider_config=provider_config)
def sanitize_batch_name(value):
"""Create a filesystem-safe token for generated batch audio names."""
sanitized = "".join(
character if character.isalnum() or character in ("-", "_") else "_"
for character in str(value).strip().lower()
)
sanitized = sanitized.strip("_")
return sanitized or "item"
def build_ssml_document(text, settings, cleaner=None):
"""Build the SSML document used by both UI and worker-thread generation."""
if has_narration_markup(text):
return build_narration_ssml(text, settings, cleaner)
working_text = text
text_cleaner = cleaner or TextCleaner()
if settings.auto_clean_text:
working_text = text_cleaner.clean_all(working_text)
ssml_content = escape(working_text)
if settings.pause_duration != "none":
pause_tag = f'<break time="{settings.pause_duration}"/>'
if settings.pause_position == "before":
ssml_content = f"{pause_tag}{ssml_content}"
else:
ssml_content = f"{ssml_content}{pause_tag}"
if settings.emphasis_level != "none":
ssml_content = (
f'<emphasis level="{settings.emphasis_level}">{ssml_content}</emphasis>'
)
prosody_attributes = [
f'rate="{settings.speaking_rate}"',
f'volume="{settings.synthesis_volume}"',
]
if settings.pitch != "default":
prosody_attributes.append(f'pitch="{settings.pitch}"')
if settings.pitch_range != "default":
prosody_attributes.append(f'range="{settings.pitch_range}"')
prosody_text = f"<prosody {' '.join(prosody_attributes)}>{ssml_content}</prosody>"
return TextToSSML(voice_name=settings.voice).convert(prosody_text)
def build_provider_input(text, settings, provider_capabilities, cleaner=None):
"""Build either SSML or plain text depending on provider capabilities."""
if provider_capabilities.supports_ssml:
return build_ssml_document(text, settings, cleaner), True
text_cleaner = cleaner or TextCleaner()
working_text = render_plain_narration_text(
text,
text_cleaner if settings.auto_clean_text else None,
)
return working_text, False
def build_provider_metadata(settings):
"""Build provider-specific synthesis metadata from saved settings."""
provider_name = getattr(settings, "tts_provider", "azure")
if provider_name == "local":
return {
"rate": map_speaking_rate_to_local_value(
getattr(settings, "speaking_rate", "medium")
),
"volume": map_volume_to_local_value(
getattr(settings, "synthesis_volume", "medium")
),
}
if provider_name == "gemini":
return {
"style_prompt": getattr(settings, "gemini_style_prompt", ""),
"language_code": getattr(settings, "gemini_language_code", "en-US"),
"model": getattr(settings, "gemini_model", "gemini-2.5-flash-tts"),
}
if provider_name == "polly":
return {
"engine": getattr(settings, "polly_engine", "neural"),
}
return {}
def map_speaking_rate_to_local_value(rate_name):
"""Map app speaking-rate labels onto a reasonable local pyttsx3 rate."""
return {
"x-slow": 110,
"slow": 140,
"medium": 175,
"fast": 210,
"x-fast": 245,
}.get(rate_name, 175)
def map_volume_to_local_value(volume_name):
"""Map app volume labels onto the local 0.0-1.0 pyttsx3 volume range."""
return {
"silent": 0.0,
"x-soft": 0.2,
"soft": 0.4,
"medium": 0.6,
"loud": 0.8,
"x-loud": 1.0,
}.get(volume_name, 0.6)
class DocumentParseWorker(QObject):
"""Parse a document or source payload away from the UI thread."""
finished = pyqtSignal(object)
failed = pyqtSignal(str)
cancelled = pyqtSignal()
def __init__(self, source, source_kind="file"):
super().__init__()
self.source = source
self.source_kind = source_kind
self._cancel_requested = False
def request_cancel(self):
self._cancel_requested = True
def run(self):
if self._cancel_requested:
self.cancelled.emit()
return
try:
scraper = DocumentScraper()
if self.source_kind == "file":
rows = scraper.scrape_file(self.source)
elif self.source_kind == "url":
rows = scraper.scrape_url(self.source)
elif self.source_kind == "html":
rows = scraper.scrape_html_text(self.source)
else:
raise ValueError(f"Unsupported document source: {self.source_kind}")
except Exception as error:
logger.exception(
"Document parsing failed for {} source: {}",
self.source_kind,
error,
)
self.failed.emit(str(error))
return
if self._cancel_requested:
self.cancelled.emit()
return
self.finished.emit(rows)
class BatchExportWorker(QObject):
"""Generate a batch of audio files away from the UI thread."""
progress = pyqtSignal(int, int, str)
finished = pyqtSignal(object)
failed = pyqtSignal(str, object)
cancelled = pyqtSignal(object)
def __init__(self, rows, output_dir, settings, provider_config):
super().__init__()
self.rows = [dict(row) for row in rows]
self.output_dir = Path(output_dir)
self.settings = AppSettings(**vars(settings))
self.provider_config = provider_config
self._cancel_requested = False
def request_cancel(self):
self._cancel_requested = True
def run(self):
exported_files = []
try:
if self._cancel_requested:
self.cancelled.emit(exported_files)
return
if self.provider_config is None:
provider_name = get_provider_display_name(
getattr(self.settings, "tts_provider", "azure")
)
raise RuntimeError(f"{provider_name} credentials are required.")
exportable_rows = [
row for row in self.rows if (row.get("resolved_text") or "").strip()
]
if not exportable_rows:
self.finished.emit(exported_files)
return
self.output_dir.mkdir(parents=True, exist_ok=True)
processor = create_tts_processor(self.provider_config)
cleaner = TextCleaner()
total_rows = len(exportable_rows)
for row_index, row in enumerate(exportable_rows, start=1):
if self._cancel_requested:
self.cancelled.emit(exported_files)
return
resolved_text = (row.get("resolved_text") or "").strip()
provider_input, use_ssml = build_provider_input(
resolved_text,
self.settings,
processor.get_capabilities(),
cleaner,
)
audio_data = processor.text_to_speech(
provider_input,
use_ssml=use_ssml,
voice=self.settings.voice,
metadata=build_provider_metadata(self.settings),
)
if self._cancel_requested:
self.cancelled.emit(exported_files)
return
mode_name = sanitize_batch_name(
row.get("content_mode", "prefer_secondary")
)
title_name = sanitize_batch_name(
row.get("title", f"item_{row.get('item_number', 0)}")
)
item_number = int(row.get("item_number", row_index) or row_index)
file_name = f"item_{item_number:02d}_{title_name}_{mode_name}.mp3"
file_path = self.output_dir / file_name
with open(file_path, "wb") as file:
file.write(audio_data)
exported_files.append(str(file_path))
self.progress.emit(row_index, total_rows, str(file_path))
except Exception as error:
logger.exception("Batch export failed: {}", error)
self.failed.emit(str(error), exported_files)
return
self.finished.emit(exported_files)