52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
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# tts_utils.py
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import re
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from bs4 import BeautifulSoup
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def get_configured_tts_rate(settings: dict) -> str:
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"""Extracts speed multiplier from settings dict and converts to Edge TTS percentage string (e.g., '-25%')."""
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# Query the exact key name shown in SQLite database: 'tts_playback_speed'
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raw_val = settings.get("tts_playback_speed", 1.0) if settings else 1.0
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try:
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raw_rate = float(raw_val)
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except (TypeError, ValueError):
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raw_rate = 1.0
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# Calculate percentage shift relative to baseline 1.0 (e.g., 0.75 -> -25%)
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pct = int(round((raw_rate - 1.0) * 100))
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rate_str = f"+{pct}%" if pct >= 0 else f"{pct}%"
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print(
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f"[TTS Debug] DB Key 'tts_playback_speed': {raw_val} -> Formatted Rate: {rate_str}"
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)
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return rate_str
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def parse_text_for_edgetts(html_content: str) -> str:
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"""Strips content between <meta sound-off> and <meta sound-on> tags,
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handling optional whitespace inside the tag brackets (e.g., <meta sound-off >).
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Converts remaining HTML tags to clean spoken text.
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"""
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if not html_content:
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return ""
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# Flexible regex to slice out everything from <meta sound-off ...> through <meta sound-on ...>
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pattern = re.compile(
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r"<meta\s+sound-off\s*\/?>.*?<meta\s+sound-on\s*\/?>",
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re.DOTALL | re.IGNORECASE,
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)
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cleaned_html = re.sub(pattern, "", html_content)
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# Handle unclosed <meta sound-off> (mute rest of string from that point)
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if re.search(r"<meta\s+sound-off\s*\/?>", cleaned_html, re.IGNORECASE):
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cleaned_html = re.split(
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r"<meta\s+sound-off\s*\/?>", cleaned_html, flags=re.IGNORECASE
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)[0]
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# Convert remaining HTML into plain text for speech
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soup = BeautifulSoup(cleaned_html, "html.parser")
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text = soup.get_text(separator=" ")
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# Normalize extra whitespace
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return re.sub(r"\s+", " ", text).strip()
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