45 lines
1.9 KiB
JavaScript
45 lines
1.9 KiB
JavaScript
// ── Rehearser train-mode comparison helpers ─────────────────────────────────
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// Recording/state-machine wiring remains in rehearser.js; these pure helpers
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// are isolated so transcript comparison can be tested and migrated first.
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(function (root) {
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function _trainNormWords(str) {
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return (str || '').toLowerCase().replace(/[^a-zäöüàáâãèéêëìíîïòóôõùúûýÿæœßа-яёА-ЯЁ0-9\s]/g, '').trim().split(/\s+/).filter(Boolean);
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}
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function _trainLcs(a, b) {
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const R = a.length, C = b.length;
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const dp = Array.from({length: R + 1}, () => new Int16Array(C + 1));
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for (let i = 1; i <= R; i++) for (let j = 1; j <= C; j++)
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dp[i][j] = a[i-1] === b[j-1] ? dp[i-1][j-1] + 1 : Math.max(dp[i-1][j], dp[i][j-1]);
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let i = R, j = C; const seq = [];
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while (i > 0 && j > 0) {
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if (a[i-1] === b[j-1]) { seq.unshift([i-1, j-1]); i--; j--; }
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else if (dp[i-1][j] >= dp[i][j-1]) i--;
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else j--;
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}
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return seq;
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}
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function _trainCompare(expected, actual) {
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const ew = _trainNormWords(expected), aw = _trainNormWords(actual);
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if (!ew.length) return { html_exp: '', html_act: '', score: 1 };
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const pairs = _trainLcs(ew, aw);
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const matchedE = new Set(pairs.map(p => p[0]));
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const matchedA = new Set(pairs.map(p => p[1]));
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const expHtml = ew.map((w, i) => matchedE.has(i)
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? `<span class="tw-ok">${escHtml(w)}</span>`
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: `<span class="tw-miss">${escHtml(w)}</span>`).join(' ');
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const actHtml = aw.map((w, i) => matchedA.has(i)
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? `<span class="tw-ok">${escHtml(w)}</span>`
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: `<span class="tw-extra">${escHtml(w)}</span>`).join(' ');
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const score = ew.length ? Math.round((matchedE.size / ew.length) * 100) : 100;
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return { html_exp: expHtml, html_act: actHtml, score };
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}
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root._trainCompare = _trainCompare;
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root.TTVC = root.TTVC || {};
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root.TTVC.rehearser = root.TTVC.rehearser || {};
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root.TTVC.rehearser.train = { compare: _trainCompare };
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})(window);
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