feat: add LLM validation UI with score badges and context panel

Wire up Validate button in solver.js with showValidatePanel,
runValidation, and renderScoredResult functions. Add CSS for
score badges (green/yellow/red) and validate panel styling.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
This commit is contained in:
Alex-GilbertandClaude Opus 4.6 committed 2026-02-23 16:23:06 -06:00
1 parent f7dd5a342a
commit fa6709cca4
4 files changed
+157 -1

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+5
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@@ -39,6 +39,11 @@ export const solveAccept = document.getElementById("solve-accept");
export const solveStatus = document.getElementById("solve-status");
export const solveResults = document.getElementById("solve-results");
export const solveLoadMore = /** @type {HTMLButtonElement} */ (document.getElementById("solve-load-more"));
export const solveValidate = /** @type {HTMLButtonElement} */ (document.getElementById("solve-validate"));
export const validatePanel = document.getElementById("validate-panel");
export const validateLeft = /** @type {HTMLInputElement} */ (document.getElementById("validate-left"));
export const validateRight = /** @type {HTMLInputElement} */ (document.getElementById("validate-right"));
export const validateRun = /** @type {HTMLButtonElement} */ (document.getElementById("validate-run"));
export const fontToolbar = document.getElementById("font-toolbar");
export const fontSelect = /** @type {HTMLSelectElement} */ (document.getElementById("font-select"));
export const sizeSlider = /** @type {HTMLInputElement} */ (document.getElementById("size-slider"));
+6
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@@ -150,8 +150,14 @@
<button id="solve-start" class="solve-btn">Solve</button>
<button id="solve-stop" class="solve-btn" hidden>Stop</button>
<button id="solve-accept" class="solve-btn accept" hidden>Accept</button>
<button id="solve-validate" class="solve-btn" hidden>Validate</button>
<span id="solve-status"></span>
</div>
<div id="validate-panel" hidden>
<label>Left context <input type="text" id="validate-left" spellcheck="false" autocomplete="off"></label>
<label>Right context <input type="text" id="validate-right" spellcheck="false" autocomplete="off"></label>
<button id="validate-run" class="solve-btn">Run</button>
</div>
<div id="solve-results"></div>
<button id="solve-load-more" class="solve-btn" hidden>Load more</button>
</div>
+87 -1
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@@ -6,7 +6,9 @@ import {
solveCharset, solveTolerance, solveMode, solveFilter,
solveKnownStart, solveKnownEnd, solvePlural, solveVocab,
solveResults, solveStatus, solveStart, solveStop,
solveAccept, solveLoadMore, redactionMarker, escapeHtml,
solveAccept, solveLoadMore, solveValidate,
validatePanel, validateLeft, validateRight, validateRun,
redactionMarker, escapeHtml,
} from './dom.js';
import { renderCanvas } from './canvas.js';
import { matchAssociates, tierBadgeClass, tierLabel, isVictimMatch, showAssocDetail } from './associates.js';
@@ -45,6 +47,8 @@ export function startSolve() {
solveStart.hidden = true;
solveStop.hidden = false;
solveAccept.hidden = true;
solveValidate.hidden = true;
validatePanel.hidden = true;
const body = {
font_id: fontId,
@@ -210,6 +214,9 @@ function handleSolveEvent(data, redactionId) {
solveStart.hidden = false;
solveStop.hidden = true;
activeEventSource = null;
if (totalFound > 0) {
solveValidate.hidden = false;
}
}
}
@@ -278,9 +285,88 @@ async function loadMore() {
}
}
function showValidatePanel() {
const id = state.activeRedaction;
if (!id) return;
const r = state.redactions[id];
if (!r || !r.analysis) return;
const a = r.analysis;
const o = r.overrides || {};
const leftText = o.leftText ?? (a.segments.length > 0 ? a.segments[0].text : "");
const rightText = o.rightText ?? (a.segments.length > 1 ? a.segments[1].text : "");
validateLeft.value = leftText;
validateRight.value = rightText;
validatePanel.hidden = false;
}
async function runValidation() {
if (!currentSolveId) return;
validateRun.disabled = true;
validateRun.textContent = "Validating...";
solveStatus.textContent = `Validating ${totalFound} results...`;
try {
const resp = await fetch(`/api/solve/${currentSolveId}/validate`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
left_context: validateLeft.value,
right_context: validateRight.value,
}),
});
if (!resp.ok) throw new Error("Validation failed");
const data = await resp.json();
// Replace results with scored list
solveResults.innerHTML = "";
displayedCount = 0;
solveLoadMore.hidden = true;
const redactionId = state.activeRedaction;
for (const item of data.results) {
renderScoredResult(item, redactionId);
}
solveStatus.textContent = `Validated. ${data.total} results scored.`;
validatePanel.hidden = true;
} catch (err) {
solveStatus.textContent = "Validation error: " + err.message;
} finally {
validateRun.disabled = false;
validateRun.textContent = "Run";
}
}
function renderScoredResult(data, redactionId) {
handleSolveEvent({ status: "match", ...data }, redactionId);
if (data.llm_score !== undefined) {
const results = solveResults.children;
for (const el of results) {
const textEl = el.querySelector(".result-text");
if (textEl && textEl.textContent === data.text && !el.querySelector(".llm-score")) {
const badge = document.createElement("span");
badge.className = "llm-score";
const score = data.llm_score;
if (score >= 70) badge.classList.add("score-high");
else if (score >= 30) badge.classList.add("score-mid");
else badge.classList.add("score-low");
badge.textContent = String(score);
badge.title = "LLM contextual fit score";
el.prepend(badge);
break;
}
}
}
}
/** Set up solver button listeners. Call once from main.js. */
export function initSolver() {
solveStart.addEventListener("click", startSolve);
solveStop.addEventListener("click", stopSolve);
solveLoadMore.addEventListener("click", loadMore);
solveValidate.addEventListener("click", showValidatePanel);
validateRun.addEventListener("click", runValidation);
}
+59
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@@ -827,6 +827,65 @@ main {
to { opacity: 0; }
}
/* LLM validation score badges */
.llm-score {
flex-shrink: 0;
padding: 2px 6px;
border-radius: 3px;
font-size: 0.75rem;
font-weight: bold;
margin-right: 4px;
}
.llm-score.score-high {
background: #2d8a4e;
color: #fff;
}
.llm-score.score-mid {
background: var(--yellow);
color: #000;
}
.llm-score.score-low {
background: var(--red);
color: #fff;
}
/* Validate panel */
#validate-panel {
display: flex;
flex-wrap: wrap;
gap: 8px;
padding: 8px;
background: rgba(255, 255, 255, 0.04);
border-radius: 4px;
margin-top: 4px;
}
#validate-panel label {
display: flex;
flex-direction: column;
flex: 1;
min-width: 120px;
font-size: 0.75rem;
color: var(--text-dim);
}
#validate-panel input {
background: var(--bg-input);
border: 1px solid var(--border-subtle);
color: var(--text);
padding: 4px 8px;
border-radius: 3px;
font-size: 0.85rem;
margin-top: 2px;
}
#validate-panel .solve-btn {
align-self: flex-end;
}
/* ── Mobile (≤768px) ── */
@media (max-width: 768px) {