ff5a6b834d
Refactor EPUB and HTML word highlighting to use a shared, position-preserving text normalization pipeline for mapping TTS alignment offsets to DOM positions. Replace the previous fuzzy token-matching logic with a direct char→DOM map based on the canonical "audio" text form, ensuring highlights stay in sync across languages and with Unicode-aware hyphenation handling. - Add `highlight-char-map.ts` for shared normalization logic - Update normalization to handle Unicode hyphenation consistently across compute, client, and shared layers - Remove unused fuzzy token mapping and cache logic from EPUB highlighting - Update tests for new highlight mapping and normalization behavior BREAKING CHANGE: Removes legacy fuzzy token-based word highlight mapping in favor of direct char offset mapping; highlight cache and tokenization APIs are removed.
35 lines
1.5 KiB
TypeScript
35 lines
1.5 KiB
TypeScript
import { describe, expect, test } from 'vitest';
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import {
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mapWordsToSentenceOffsets,
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} from '@openreader/compute-core';
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describe('whisper alignment mapping', () => {
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test('maps words to sentence offsets with punctuation and repeated spaces', () => {
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const aligned = mapWordsToSentenceOffsets('Hello, world again.', [
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{ word: 'Hello', start: 0, end: 0.25 },
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{ word: 'world', start: 0.25, end: 0.5 },
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{ word: 'again', start: 0.5, end: 1.0 },
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]);
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expect(aligned.words).toHaveLength(3);
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expect(aligned.words[0].charStart).toBe(0);
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expect(aligned.words[0].charEnd).toBe(5);
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expect(aligned.words[1].charStart).toBeGreaterThan(aligned.words[0].charEnd);
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expect(aligned.words[2].charStart).toBeGreaterThan(aligned.words[1].charEnd);
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expect(aligned.words[2].charEnd).toBeLessThanOrEqual('Hello, world again.'.length);
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});
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test('joins line-break hyphenation across unicode letters', () => {
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// "Über-\n mensch" must normalize to "Übermensch" so the offsets match the
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// client char map. This only works with the unicode-aware hyphen regex that
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// is kept in lock-step across nlp.ts / alignment-map.ts / highlight-char-map.ts.
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const aligned = mapWordsToSentenceOffsets('Über-\n mensch walks', [
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{ word: 'Übermensch', start: 0, end: 0.5 },
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{ word: 'walks', start: 0.5, end: 1.0 },
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]);
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expect(aligned.words[0].charStart).toBe(0);
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expect(aligned.words[0].charEnd).toBe('Übermensch'.length);
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expect(aligned.words[1].charStart).toBeGreaterThanOrEqual(aligned.words[0].charEnd);
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});
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});
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