Rocky
31f5937a7f
Reduce extension memory pressure and delivery races while adding richer candidates, tactile feedback, and safer two-level creative polishing.
131 lines
4.2 KiB
Python
131 lines
4.2 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""Build OSGKeyboard domain ASR lexicon v1 from the computer-terms scel source.
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Sources:
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Local 计算机词汇大全【官方推荐】.scel (IT / computer vocabulary only)
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Casual network slang and Sogou popular-word dumps are intentionally excluded —
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they dilute custom LM phrase biasing without improving domain ASR accuracy.
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Output:
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OSGKeyboard/Resources/CustomLanguageModel/v1/phrases.tsv
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OSGKeyboard/Resources/CustomLanguageModel/v1/manifest.json
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The compiled .bin asset is exported separately to
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OSGKeyboard/Resources/CustomLanguageModel/v1/ via export_clm.swift.
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"""
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from __future__ import annotations
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import argparse
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import json
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import sys
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from dataclasses import dataclass
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from datetime import datetime, timezone
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from pathlib import Path
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from scel_parser import get_scel_info, parse_scel_file
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REPO_ROOT = Path(__file__).resolve().parents[2]
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DEFAULT_OUTPUT_DIR = REPO_ROOT / "OSGKeyboard/Resources/CustomLanguageModel/v1"
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DEFAULT_COMPUTER_SCEL = Path("/Users/rocky/Downloads/计算机词汇大全【官方推荐】.scel")
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SOURCE_KEY = "computer_terms"
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SOURCE_LABEL = "计算机词汇大全【官方推荐】"
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SOURCE_WEIGHT = 5
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@dataclass
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class LexiconEntry:
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word: str
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pinyin: str
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source: str
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weight: int
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def merge_entries(entries: list[tuple[str, str]]) -> list[LexiconEntry]:
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merged: dict[str, LexiconEntry] = {}
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for word, pinyin in entries:
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current = merged.get(word)
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candidate = LexiconEntry(
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word=word,
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pinyin=pinyin,
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source=SOURCE_KEY,
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weight=SOURCE_WEIGHT,
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)
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if current is None:
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merged[word] = candidate
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elif not current.pinyin and pinyin:
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merged[word] = candidate
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return sorted(merged.values(), key=lambda item: item.word)
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def write_outputs(entries: list[LexiconEntry], output_dir: Path, raw_count: int) -> None:
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output_dir.mkdir(parents=True, exist_ok=True)
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phrases_path = output_dir / "phrases.tsv"
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with phrases_path.open("w", encoding="utf-8") as handle:
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handle.write("word\tpinyin\tsource\tweight\n")
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for entry in entries:
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handle.write(f"{entry.word}\t{entry.pinyin}\t{entry.source}\t{entry.weight}\n")
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manifest = {
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"version": "v1",
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"generated_at": datetime.now(timezone.utc).isoformat(),
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"locale": "zh-Hans",
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"entry_count": len(entries),
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"sources": [
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{
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"key": SOURCE_KEY,
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"label": SOURCE_LABEL,
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"weight": SOURCE_WEIGHT,
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"raw_count": raw_count,
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}
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],
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"notes": [
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"Domain-specific computer/IT vocabulary only; casual network slang removed.",
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"PhraseCount weights map to SFCustomLanguageModelData relative frequencies.",
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"Merged with ai-tech-brands seed at export time for the final .bin asset.",
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],
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"files": {
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"phrases": phrases_path.name,
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},
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}
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manifest_path = output_dir / "manifest.json"
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manifest_path.write_text(json.dumps(manifest, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
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def build(*, computer_scel: Path, output_dir: Path) -> int:
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if not computer_scel.exists():
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print(f"Missing computer scel: {computer_scel}", file=sys.stderr)
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return 1
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computer_info = get_scel_info(computer_scel)
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print(f"Computer dict: {computer_info.name} ({computer_info.word_count} header count)")
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raw_entries = parse_scel_file(computer_scel)
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merged = merge_entries(raw_entries)
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write_outputs(merged, output_dir, raw_count=len(raw_entries))
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print(f"Raw count: {len(raw_entries)}")
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print(f"Merged unique entries: {len(merged)}")
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print(f"Wrote {output_dir / 'phrases.tsv'}")
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print(f"Wrote {output_dir / 'manifest.json'}")
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return 0
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def main() -> int:
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parser = argparse.ArgumentParser(description="Build OSGKeyboard domain ASR lexicon v1")
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parser.add_argument("--computer-scel", type=Path, default=DEFAULT_COMPUTER_SCEL)
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parser.add_argument("--output-dir", type=Path, default=DEFAULT_OUTPUT_DIR)
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args = parser.parse_args()
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return build(computer_scel=args.computer_scel, output_dir=args.output_dir)
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if __name__ == "__main__":
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raise SystemExit(main())
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