const state = { activeTool: 'ask', authenticated: Boolean(window.DBN_TOOLS_AUTHENTICATED), }; let lastTimelineEvents = []; let audioQueue = []; // [{file, status: 'pending'|'processing'|'done'|'error', result}] let lastTranscriptData = null; const VOCAB_PRESETS = { barnerett: 'Barnevernet, Fylkesnemnda, barnevernloven, barneloven, barnets beste, samvær, foreldreansvar, omsorgsovertakelse, sakkyndig, advokat, prosessfullmektig, dommer, vitne, tolk, bistandsadvokat, fosterforeldre, fosterhjem, akuttvedtak, statsforvalter, Bufetat, saksbehandler, rettslig medhold, begjæring, samtykke, tilsynsfører', mediation: 'rettsmekling, meklingsnemnd, familievernkontor, mekling, forlik, meklingsprotokoll, foreldreplan, avtale, prosessfullmektig, advokat, dommer, vitne, sakkyndig, statsforvalter, barnevernloven, barneloven, barnets beste, samvær, foreldreansvar, omsorgsovertakelse, tilsvar, stevning, kjennelse, anke', generell: 'bokmål, nynorsk, statsforvalter, kommunen, forvaltning, klage, vedtak, rettigheter, plikter, protokoll, referat, rapport, dokumentasjon, velferd', custom: '', }; let uiLang = localStorage.getItem('dbn-ui-lang') || 'en'; const TRANSCRIBE_I18N = { en: { engine: 'Engine', engineGpuLabel: 'GPU (cuttlefish RTX 3060)', engineOpenaiLabel: 'OpenAI Whisper API', engineAzureLabel: 'Azure AI Speech (nb-NO)', apiKey: 'API Key', apiKeyHint: 'Used for this request only, never stored. Max 25 MB.', region: 'Region', model: 'Model', modelFastest: 'Fastest', modelBalanced: 'Balanced', modelBest: 'Best quality', transcribeLang: 'Audio language', autoDetectHint: '(may confuse nb/da/sv)', speakers: 'Speakers', identifySpeakers: 'Identify speakers', speakersCount: 'Count', speakersPlaceholder: 'auto', speakersAriaLabel: 'Expected number of speakers', vocabulary: 'Vocabulary', vocabPresetChildWelfare: 'Child welfare / CPS', vocabPresetMediation: 'Mediation / legal meeting', vocabPresetGeneral: 'General Norwegian', vocabPresetCustom: 'Custom', vocabPlaceholder: 'Technical terms and names for Whisper to recognise, e.g. Barnevernet, mediation, family services…', vocabHint: 'Helps Whisper recognise technical terms. Not included in the transcript.', uploadAria: 'Audio upload', uploadDrop: 'Drop audio file(s) here, or', uploadBrowse: 'browse', uploadHint: 'max 200 MB per file', uploadAddFiles: '+ Add files', uploadClearQueue: '× Clear queue', expertSettings: 'Advanced settings', task: 'Task', taskTranscribe: 'Transcribe', taskTranslate: 'Translate to English', beamSize: 'Beam size', beamFastest: '(fastest)', beamBest: '(best)', vadFilter: 'VAD filter', vadFilterLabel: 'Remove silence', run: 'Run', running: 'Transcribing…', runningOther: 'Running…', readyTitle: 'Ready', readyDesc: 'Select a tool, run a request, and the result appears here.', noFileSelected: 'Select at least one audio file before transcribing.', missingOpenaiKey: 'Enter a valid OpenAI API key (sk-…) before running.', openaiFileTooLarge: (f) => `OpenAI Whisper has a 25 MB limit. Use the GPU engine for ${f}.`, missingAzureKey: 'Enter an Azure Speech API key before running.', clipLabel: (i, total) => total > 1 ? `Clip ${i}/${total}` : 'Transcribing', transcribeFailed: (s) => `Transcription failed (HTTP ${s}).`, errorLabel: (clip) => `Error – ${clip}`, filesSkipped: (names) => `Skipped: ${names}`, fileSizeExceeded: (name, mb) => `${name} (${mb} MB — max 200 MB)`, filesInQueue: (n) => `${n} file${n !== 1 ? 's' : ''} in queue.`, done: (n, dur) => n > 1 ? `Done · ${n} clips · Total audio: ${dur}` : `Done · Audio: ${dur}`, traceUploadLabel: (clip, eng) => `${clip} — uploading to ${eng}`, traceUploadDetail: (eng) => eng === 'gpu' ? 'Sending audio to cuttlefish GPU…' : `Sending audio to ${eng}…`, traceProcessingLabel: (clip, eng) => `${clip} — ${eng} transcribing`, traceProcessingDetail: (eng) => eng === 'gpu' ? 'Whisper transcribing. Large files take 1–3 minutes.' : `${eng} processing audio.`, traceStillLabel: (clip) => `${clip} — still processing…`, traceStillDetail: (e) => { const m = Math.floor(e / 60), s = e % 60; return m > 0 ? `${m}m ${s}s elapsed — working through the audio.` : `${e}s elapsed — processing.`; }, }, no: { engine: 'Motor', engineGpuLabel: 'GPU (cuttlefish RTX 3060)', engineOpenaiLabel: 'OpenAI Whisper API', engineAzureLabel: 'Azure AI Speech (nb-NO)', apiKey: 'API-nøkkel', apiKeyHint: 'Brukes kun for denne forespørselen, lagres aldri. Maks 25 MB.', region: 'Region', model: 'Modell', modelFastest: 'Raskest', modelBalanced: 'Balansert', modelBest: 'Beste kvalitet', transcribeLang: 'Språk i lydfil', autoDetectHint: '(kan forveksle nb/da/sv)', speakers: 'Talere', identifySpeakers: 'Skill ut talere', speakersCount: 'Antall', speakersPlaceholder: 'auto', speakersAriaLabel: 'Forventet antall talere', vocabulary: 'Ordliste', vocabPresetChildWelfare: 'Barnerett / CPS', vocabPresetMediation: 'Mekling / møter', vocabPresetGeneral: 'Generell norsk', vocabPresetCustom: 'Egendefinert', vocabPlaceholder: 'Fagord og navn Whisper skal gjenkjenne, f.eks. Barnevernet, Fylkesnemnda, mekling…', vocabHint: 'Hjelper Whisper gjenkjenne fagtermer. Ikke inkludert i utskriften.', uploadAria: 'Lydopplasting', uploadDrop: 'Slipp lydfil(er) her, eller', uploadBrowse: 'bla', uploadHint: 'maks 200 MB per fil', uploadAddFiles: '+ Legg til filer', uploadClearQueue: '× Tøm kø', expertSettings: 'Ekspertinnstillinger', task: 'Oppgave', taskTranscribe: 'Transkriber', taskTranslate: 'Oversett til engelsk', beamSize: 'Beam size', beamFastest: '(raskest)', beamBest: '(best)', vadFilter: 'VAD-filter', vadFilterLabel: 'Fjern stillhet', run: 'Kjør', running: 'Transkriberer…', runningOther: 'Kjører…', readyTitle: 'Klar', readyDesc: 'Velg et verktøy, kjør en forespørsel, og svaret vises her.', noFileSelected: 'Velg minst én lydfil før transkripsjon.', missingOpenaiKey: 'Legg inn en gyldig OpenAI API-nøkkel (sk-…) før du kjører.', openaiFileTooLarge: (f) => `OpenAI Whisper har 25 MB-grense. Bruk GPU-motor for ${f}.`, missingAzureKey: 'Legg inn Azure Speech API-nøkkel før du kjører.', clipLabel: (i, total) => total > 1 ? `Klipp ${i}/${total}` : 'Transkriberer', transcribeFailed: (s) => `Transkripsjon feilet (HTTP ${s}).`, errorLabel: (clip) => `Feil – ${clip}`, filesSkipped: (names) => `Hoppet over: ${names}`, fileSizeExceeded: (name, mb) => `${name} (${mb} MB — maks 200 MB)`, filesInQueue: (n) => `${n} fil${n !== 1 ? 'er' : ''} i køen.`, done: (n, dur) => n > 1 ? `Ferdig · ${n} klipp · Total lyd: ${dur}` : `Ferdig · Lyd: ${dur}`, traceUploadLabel: (clip, eng) => `${clip} — laster opp til ${eng}`, traceUploadDetail: (eng) => eng === 'gpu' ? 'Sender lyd til cuttlefish GPU…' : `Sender lyd til ${eng}…`, traceProcessingLabel: (clip, eng) => `${clip} — ${eng} transkriberer`, traceProcessingDetail: (eng) => eng === 'gpu' ? 'Whisper transkriberer. Store filer tar 1–3 minutter.' : `${eng} behandler lyden.`, traceStillLabel: (clip) => `${clip} — behandler fortsatt…`, traceStillDetail: (e) => { const m = Math.floor(e / 60), s = e % 60; return m > 0 ? `${m} min ${s}s gått — jobber gjennom lyden.` : `${e}s gått — behandler.`; }, }, uk: { engine: 'Рушій', engineGpuLabel: 'GPU (cuttlefish RTX 3060)', engineOpenaiLabel: 'OpenAI Whisper API', engineAzureLabel: 'Azure AI Speech (nb-NO)', apiKey: 'API-ключ', apiKeyHint: 'Використовується лише для цього запиту, ніколи не зберігається. Макс 25 МБ.', region: 'Регіон', model: 'Модель', modelFastest: 'Найшвидша', modelBalanced: 'Збалансована', modelBest: 'Найкраща якість', transcribeLang: 'Мова аудіо', autoDetectHint: '(може плутати nb/da/sv)', speakers: 'Мовці', identifySpeakers: 'Визначити мовців', speakersCount: 'Кількість', speakersPlaceholder: 'auto', speakersAriaLabel: 'Очікувана кількість мовців', vocabulary: 'Словник', vocabPresetChildWelfare: 'Охорона дітей / CPS', vocabPresetMediation: 'Медіація / зустріч', vocabPresetGeneral: 'Загальна норвезька', vocabPresetCustom: 'Власний', vocabPlaceholder: 'Терміни та імена для Whisper, напр. Barnevernet, медіація…', vocabHint: 'Допомагає Whisper розпізнати терміни. Не включається до транскрипту.', uploadAria: 'Завантаження аудіо', uploadDrop: 'Перетягніть файл(u) сюди, або', uploadBrowse: 'огляд', uploadHint: 'макс 200 МБ на файл', uploadAddFiles: '+ Додати файли', uploadClearQueue: '× Очистити чергу', expertSettings: 'Розширені налаштування', task: 'Завдання', taskTranscribe: 'Транскрибувати', taskTranslate: 'Перекласти англійською', beamSize: 'Розмір пучка', beamFastest: '(найшвидший)', beamBest: '(найкращий)', vadFilter: 'VAD-фільтр', vadFilterLabel: 'Видалити тишу', run: 'Запустити', running: 'Транскрибування…', runningOther: 'Виконання…', readyTitle: 'Готово', readyDesc: 'Виберіть інструмент, запустіть запит — результат з'явиться тут.', noFileSelected: 'Виберіть хоч б один аудіофайл перед транскрибуванням.', missingOpenaiKey: 'Введіть дійсний ключ OpenAI API (sk-…) перед запуском.', openaiFileTooLarge: (f) => `OpenAI Whisper має обмеження 25 МБ. Використовуйте GPU для ${f}.`, missingAzureKey: 'Введіть ключ Azure Speech API перед запуском.', clipLabel: (i, total) => total > 1 ? `Кліп ${i}/${total}` : 'Транскрибування', transcribeFailed: (s) => `Транскрибування не вдалося (HTTP ${s}).`, errorLabel: (clip) => `Помилка – ${clip}`, filesSkipped: (names) => `Пропущено: ${names}`, fileSizeExceeded: (name, mb) => `${name} (${mb} МБ — макс 200 МБ)`, filesInQueue: (n) => `${n} файл${n !== 1 ? 'ів' : ''} у черзі.`, done: (n, dur) => n > 1 ? `Готово · ${n} кліпи · Загальне аудіо: ${dur}` : `Готово · Аудіо: ${dur}`, traceUploadLabel: (clip, eng) => `${clip} — завантаження до ${eng}`, traceUploadDetail: (eng) => eng === 'gpu' ? 'Відправка аудіо на cuttlefish GPU…' : `Відправка аудіо до ${eng}…`, traceProcessingLabel: (clip, eng) => `${clip} — ${eng} транскрибує`, traceProcessingDetail: (eng) => eng === 'gpu' ? 'Whisper транскрибує. Великі файли займають 1–3 хвилини.' : `${eng} обробляє аудіо.`, traceStillLabel: (clip) => `${clip} — ще обробляється…`, traceStillDetail: (e) => { const m = Math.floor(e / 60), s = e % 60; return m > 0 ? `Минуло ${m} хв ${s} с — обробка.` : `Минуло ${e} с — обробка.`; }, }, pl: { engine: 'Silnik', engineGpuLabel: 'GPU (cuttlefish RTX 3060)', engineOpenaiLabel: 'OpenAI Whisper API', engineAzureLabel: 'Azure AI Speech (nb-NO)', apiKey: 'Klucz API', apiKeyHint: 'Używany tylko dla tego żądania, nigdy nie przechowywany. Maks 25 MB.', region: 'Region', model: 'Model', modelFastest: 'Najszybszy', modelBalanced: 'Zrównoważony', modelBest: 'Najlepsza jakość', transcribeLang: 'Język audio', autoDetectHint: '(może mylić nb/da/sv)', speakers: 'Mówcy', identifySpeakers: 'Rozróżnij mówców', speakersCount: 'Liczba', speakersPlaceholder: 'auto', speakersAriaLabel: 'Oczekiwana liczba mówców', vocabulary: 'Słownik', vocabPresetChildWelfare: 'Opieka nad dziećmi / CPS', vocabPresetMediation: 'Mediacja / spotkanie', vocabPresetGeneral: 'Ogólny norweski', vocabPresetCustom: 'Własny', vocabPlaceholder: 'Terminy i nazwy dla Whisper, np. Barnevernet, mediacja…', vocabHint: 'Pomaga Whisper rozpoznać terminy. Nie jest uwzględniony w transkrypcji.', uploadAria: 'Prześylanie audio', uploadDrop: 'Upuść plik(i) audio tutaj lub', uploadBrowse: 'przeglądaj', uploadHint: 'maks 200 MB na plik', uploadAddFiles: '+ Dodaj pliki', uploadClearQueue: '× Wyczyść kolejkę', expertSettings: 'Ustawienia zaawansowane', task: 'Zadanie', taskTranscribe: 'Transkrybuj', taskTranslate: 'Przetłumacz na angielski', beamSize: 'Rozmiar wiązki', beamFastest: '(najszybszy)', beamBest: '(najlepszy)', vadFilter: 'Filtr VAD', vadFilterLabel: 'Usuń ciszę', run: 'Uruchom', running: 'Transkrybowanie…', runningOther: 'Uruchamianie…', readyTitle: 'Gotowe', readyDesc: 'Wybierz narzędzie, uruchom żądanie — wynik pojawi się tutaj.', noFileSelected: 'Wybierz co najmniej jeden plik audio przed transkrypcją.', missingOpenaiKey: 'Wprowadź prawidłowy klucz API OpenAI (sk-…) przed uruchomieniem.', openaiFileTooLarge: (f) => `OpenAI Whisper ma limit 25 MB. Użyj silnika GPU dla ${f}.`, missingAzureKey: 'Wprowadź klucz Azure Speech API przed uruchomieniem.', clipLabel: (i, total) => total > 1 ? `Klip ${i}/${total}` : 'Transkrybowanie', transcribeFailed: (s) => `Transkrypcja nie powiodła się (HTTP ${s}).`, errorLabel: (clip) => `Błąd – ${clip}`, filesSkipped: (names) => `Pominięto: ${names}`, fileSizeExceeded: (name, mb) => `${name} (${mb} MB — maks 200 MB)`, filesInQueue: (n) => `${n} plik${n !== 1 ? 'i' : ''} w kolejce.`, done: (n, dur) => n > 1 ? `Gotowe · ${n} klipy · Łączne audio: ${dur}` : `Gotowe · Audio: ${dur}`, traceUploadLabel: (clip, eng) => `${clip} — przesyłanie do ${eng}`, traceUploadDetail: (eng) => eng === 'gpu' ? 'Wysyłanie audio do cuttlefish GPU…' : `Wysyłanie audio do ${eng}…`, traceProcessingLabel: (clip, eng) => `${clip} — ${eng} transkrybuje`, traceProcessingDetail: (eng) => eng === 'gpu' ? 'Whisper transkrybuje. Duże pliki zajmują 1–3 minuty.' : `${eng} przetwarza audio.`, traceStillLabel: (clip) => `${clip} — nadal przetwarza…`, traceStillDetail: (e) => { const m = Math.floor(e / 60), s = e % 60; return m > 0 ? `Minęło ${m} min ${s} s — przetwarzanie audio.` : `Minęło ${e} s — przetwarzanie.`; }, }, }; function currentUiT(key, ...args) { const t = TRANSCRIBE_I18N[uiLang] || TRANSCRIBE_I18N.en; const val = (key in t) ? t[key] : TRANSCRIBE_I18N.en[key]; if (typeof val === 'function') return val(...args); return val ?? key; } function applyTranscribeI18n(lang) { uiLang = lang; localStorage.setItem('dbn-ui-lang', lang); document.querySelectorAll('[data-i18n]').forEach((el) => { const text = currentUiT(el.dataset.i18n); if (text != null) el.textContent = text; }); document.querySelectorAll('[data-i18n-placeholder]').forEach((el) => { const text = currentUiT(el.dataset.i18nPlaceholder); if (text != null) el.placeholder = text; }); document.querySelectorAll('[data-i18n-aria]').forEach((el) => { const text = currentUiT(el.dataset.i18nAria); if (text != null) el.setAttribute('aria-label', text); }); document.querySelectorAll('.lang-btn').forEach((btn) => { btn.classList.toggle('is-active', btn.dataset.lang === lang); }); } const tools = { ask: { kind: 'Source-grounded Legal Ask', title: 'Ask a legal question', label: 'Question', endpoint: 'api/ask.php', payloadKey: 'question', placeholder: 'Example: What evidence is needed before asking for changes in custody arrangements?', usesLanguage: true, badge: 'family-legal', }, search: { kind: 'Legal Source Search', title: 'Search legal sources', label: 'Search query', endpoint: 'api/search.php', payloadKey: 'query', placeholder: 'Example: barnets beste samvær foreldreansvar', usesLanguage: true, badge: 'family-legal', }, summarize: { kind: 'Document Summarizer', title: 'Summarize pasted text', label: 'Pasted text', endpoint: 'api/summarize.php', payloadKey: 'text', placeholder: 'Paste a case note, letter, or excerpt.', usesLanguage: true, badge: 'process-and-forget', }, timeline: { kind: 'Timeline Builder', title: 'Build a timeline', label: 'Pasted text', endpoint: 'api/timeline.php', payloadKey: 'text', placeholder: 'Paste case notes with dates, actors, and events.', usesLanguage: true, badge: 'process-and-forget', }, redact: { kind: 'Redaction Assistant', title: 'Redact sensitive details', label: 'Pasted text', endpoint: 'api/redact.php', payloadKey: 'text', placeholder: 'Paste text containing names, phone numbers, emails, addresses, or fødselsnummer-like values.', usesLanguage: false, badge: 'deterministic first', }, transcribe: { kind: 'Audio Transcription', title: 'Transcribe audio', label: 'Audio file', endpoint: 'api/transcribe.php', payloadKey: null, placeholder: '', usesLanguage: false, badge: 'Whisper / GPU', }, }; const els = {}; document.addEventListener('DOMContentLoaded', () => { Object.assign(els, { gate: document.querySelector('#publicLanding'), app: document.querySelector('#appShell'), passcodeForm: document.querySelector('#passcodeForm'), loginEmail: document.querySelector('#loginEmail'), loginPassword: document.querySelector('#loginPassword'), gateStatus: document.querySelector('#gateStatus'), tabs: Array.from(document.querySelectorAll('.tool-tab')), toolKind: document.querySelector('#toolKind'), toolTitle: document.querySelector('#toolTitle'), toolBadge: document.querySelector('#toolBadge'), form: document.querySelector('#toolForm'), inputLabel: document.querySelector('#inputLabel'), input: document.querySelector('#toolInput'), languageControl: document.querySelector('#languageControl'), redactionControl: document.querySelector('#redactionControl'), status: document.querySelector('#toolStatus'), results: document.querySelector('#results'), traceList: document.querySelector('#traceList'), healthButton: document.querySelector('#healthButton'), healthPill: document.querySelector('#healthPill'), uploadZone: document.querySelector('#uploadZone'), uploadInput: document.querySelector('#uploadInput'), uploadPrompt: document.querySelector('#uploadPrompt'), uploadFileInfo: document.querySelector('#uploadFileInfo'), uploadFileList: document.querySelector('#uploadFileList'), uploadClear: document.querySelector('#uploadClear'), aliasSection: document.querySelector('#aliasSection'), addAliasRow: document.querySelector('#addAliasRow'), aliasRows: document.querySelector('#aliasRows'), audioZone: document.querySelector('#audioZone'), audioInput: document.querySelector('#audioInput'), audioPrompt: document.querySelector('#audioPrompt'), audioFileInfo: document.querySelector('#audioFileInfo'), audioQueueList: document.querySelector('#audioQueueList'), audioClear: document.querySelector('#audioClear'), diarizeControl: document.querySelector('#diarizeControl'), diarizeCheck: document.querySelector('#diarizeCheck'), numSpeakersInput: document.querySelector('#numSpeakersInput'), transcribeLangControl: document.querySelector('#transcribeLangControl'), initPromptInput: document.querySelector('#initPromptInput'), vocabPresets: document.querySelector('#vocabPresets'), }); els.tabs.forEach((tab) => { if (tab.tagName !== 'A') { tab.addEventListener('click', () => setTool(tab.dataset.tool)); } }); els.form?.addEventListener('submit', runTool); els.passcodeForm?.addEventListener('submit', submitPasscode); els.healthButton.addEventListener('click', checkHealth); setupUpload(); setupAliases(); setupAudio(); setupTranscribeControls(); setupVocabPresets(); document.querySelectorAll('.lang-btn').forEach((btn) => { btn.addEventListener('click', () => applyTranscribeI18n(btn.dataset.lang)); }); applyTranscribeI18n(uiLang); els.results.addEventListener('click', (e) => { if (e.target.closest('#exportCsvBtn')) exportTimelineCSV(lastTimelineEvents); if (e.target.closest('#dlTxt')) downloadTranscriptTxt(); if (e.target.closest('#dlSrt')) downloadTranscriptSrt(); if (e.target.closest('#dlVtt')) downloadTranscriptVtt(); }); const activeTool = document.body.dataset.activeTool || state.activeTool; setTool(activeTool); if (state.authenticated) { checkHealth(); } else { els.loginEmail?.focus(); } }); function setTool(toolName) { state.activeTool = toolName; const tool = tools[toolName]; els.tabs.forEach((button) => { const active = button.dataset.tool === toolName; button.classList.toggle('is-active', active); button.setAttribute('aria-pressed', String(active)); }); els.toolKind.textContent = tool.kind; els.toolTitle.textContent = tool.title; els.toolBadge.textContent = tool.badge; els.inputLabel.textContent = tool.label; els.input.value = ''; els.input.placeholder = tool.placeholder; els.languageControl.classList.toggle('is-hidden', !tool.usesLanguage); els.redactionControl.classList.toggle('is-hidden', toolName !== 'redact'); els.uploadZone.classList.toggle('is-hidden', toolName !== 'redact' && toolName !== 'timeline'); els.aliasSection.classList.toggle('is-hidden', toolName !== 'redact'); els.audioZone.classList.toggle('is-hidden', toolName !== 'transcribe'); els.diarizeControl.classList.toggle('is-hidden', toolName !== 'transcribe'); els.transcribeLangControl.classList.toggle('is-hidden', toolName !== 'transcribe'); els.input.classList.toggle('is-hidden', toolName === 'transcribe'); els.inputLabel.classList.toggle('is-hidden', toolName === 'transcribe'); els.input.required = toolName !== 'transcribe'; resetUpload(); resetAliases(); resetAudio(); els.status.textContent = ''; renderTrace([]); } async function submitPasscode(event) { event.preventDefault(); els.gateStatus.textContent = 'Signing in…'; try { const data = await postJson('api/session.php', { email: els.loginEmail.value.trim(), password: els.loginPassword.value, }); if (!data.ok) { throw new Error(data.error?.message || 'Credentials were not accepted.'); } state.authenticated = true; els.gate.classList.add('is-hidden'); els.app.classList.remove('is-hidden'); els.loginPassword.value = ''; els.healthPill.textContent = 'Session active'; checkHealth(); els.input.focus(); } catch (error) { els.gateStatus.textContent = error.message; } } async function runTool(event) { event.preventDefault(); if (state.activeTool === 'transcribe') { await runTranscribe(); return; } const tool = tools[state.activeTool]; const text = els.input.value.trim(); if (!text) { els.status.textContent = 'Add text before running the tool.'; els.input.focus(); return; } const payload = { [tool.payloadKey]: text }; if (tool.usesLanguage) { payload.language = currentLanguage(); } if (state.activeTool === 'search') { payload.limit = 7; } if (state.activeTool === 'redact') { payload.mode = currentRedactionMode(); payload.region = currentRedactionRegion(); payload.aliases = getAliases(); } setBusy(true); renderTrace([ { label: 'Query interpretation', detail: 'Preparing request.', status: 'running' }, ]); try { const data = await postJson(tool.endpoint, payload); if (!data.ok) { throw new Error(data.error?.message || 'Tool request failed.'); } renderResults(data); renderTrace(data.trace || []); els.status.textContent = `Done in ${data.latency_ms || 0} ms.`; } catch (error) { els.status.textContent = error.message; renderTrace([ { label: 'Tool error', detail: error.message, status: 'warning' }, ]); } finally { setBusy(false); } } function resetUpload() { if (!els.uploadInput) return; els.uploadInput.value = ''; els.uploadPrompt.classList.remove('is-hidden'); els.uploadFileInfo.classList.add('is-hidden'); els.uploadFileList.innerHTML = ''; els.uploadZone.classList.remove('is-drag-over'); } function setupUpload() { els.uploadZone.addEventListener('dragover', (e) => { e.preventDefault(); els.uploadZone.classList.add('is-drag-over'); }); els.uploadZone.addEventListener('dragleave', (e) => { if (!els.uploadZone.contains(e.relatedTarget)) { els.uploadZone.classList.remove('is-drag-over'); } }); els.uploadZone.addEventListener('drop', (e) => { e.preventDefault(); els.uploadZone.classList.remove('is-drag-over'); if (e.dataTransfer?.files?.length) handleFiles(e.dataTransfer.files); }); els.uploadZone.addEventListener('click', (e) => { if (e.target === els.uploadClear || els.uploadClear?.contains(e.target)) return; if (e.target.tagName === 'LABEL') return; els.uploadInput.click(); }); els.uploadInput.addEventListener('change', () => { if (els.uploadInput.files?.length) handleFiles(els.uploadInput.files); }); els.uploadClear.addEventListener('click', () => { resetUpload(); els.input.value = ''; els.status.textContent = ''; }); } async function handleFiles(fileList) { const allowed = ['pdf', 'docx', 'txt']; const files = Array.from(fileList).slice(0, 5); for (const file of files) { const ext = file.name.split('.').pop().toLowerCase(); if (!allowed.includes(ext)) { els.status.textContent = `Skipped ${file.name}: unsupported type. Use .pdf, .docx, or .txt.`; return; } } els.status.textContent = files.length === 1 ? `Extracting ${files[0].name}…` : `Extracting ${files.length} files…`; setBusy(true); const parts = []; let totalChars = 0; let anyTruncated = false; try { for (const file of files) { const formData = new FormData(); formData.append('file', file); const resp = await fetch('api/extract.php', { method: 'POST', credentials: 'same-origin', body: formData, }); const data = await resp.json().catch(() => ({})); if (!resp.ok || !data.ok) { throw new Error(data.error?.message || `Extraction failed for ${file.name} (HTTP ${resp.status}).`); } parts.push({ filename: file.name, chars: data.chars, truncated: data.truncated, text: data.text }); totalChars += data.chars; if (data.truncated) anyTruncated = true; } const combined = parts.length === 1 ? parts[0].text : parts.map((p) => `--- Document: ${p.filename} ---\n\n${p.text}`).join('\n\n'); const MAX_COMBINED = 128000; const combinedTruncated = combined.length > MAX_COMBINED; els.input.value = combinedTruncated ? combined.slice(0, MAX_COMBINED) : combined; els.uploadFileList.innerHTML = parts .map((p) => `
  • ${escapeHtml(p.filename)}${p.chars.toLocaleString()} chars${p.truncated ? ' • per-file limit reached' : ''}
  • `) .join(''); els.uploadPrompt.classList.add('is-hidden'); els.uploadFileInfo.classList.remove('is-hidden'); const truncNote = (anyTruncated || combinedTruncated) ? ' — truncated to 128 000 char limit' : ''; els.status.textContent = parts.length === 1 ? `Extracted ${totalChars.toLocaleString()} chars from ${parts[0].filename}${truncNote}.` : `Extracted ${totalChars.toLocaleString()} chars total from ${parts.length} files${truncNote}.`; } catch (err) { els.status.textContent = err.message; resetUpload(); } finally { setBusy(false); } } function setupAliases() { els.addAliasRow.addEventListener('click', () => { const row = document.createElement('div'); row.className = 'alias-row'; row.innerHTML = [ '', '', '', '', ].join(''); els.aliasRows.appendChild(row); row.querySelector('.alias-original').focus(); }); els.aliasRows.addEventListener('click', (e) => { const btn = e.target.closest('.alias-remove'); if (btn) btn.closest('.alias-row').remove(); }); } function getAliases() { return Array.from(els.aliasRows.querySelectorAll('.alias-row')).flatMap((row) => { const original = row.querySelector('.alias-original')?.value.trim() ?? ''; const alias = row.querySelector('.alias-label')?.value.trim() ?? ''; return original && alias ? [{ original, alias }] : []; }); } function resetAliases() { if (els.aliasRows) els.aliasRows.innerHTML = ''; } async function checkHealth() { els.healthPill.textContent = 'Checking...'; try { const response = await fetch('api/health.php', { method: 'GET', headers: { Accept: 'application/json' }, credentials: 'same-origin', }); const data = await response.json(); els.healthPill.textContent = data.ok ? 'Healthy' : 'Needs config'; els.healthPill.classList.toggle('is-warning', !data.ok); if (!data.ok && data.checks) { renderHealth(data); } } catch (error) { els.healthPill.textContent = 'Health failed'; els.healthPill.classList.add('is-warning'); } } async function postJson(url, payload) { const response = await fetch(url, { method: 'POST', headers: { Accept: 'application/json', 'Content-Type': 'application/json', }, credentials: 'same-origin', body: JSON.stringify(payload), }); const data = await response.json().catch(() => ({})); if (!response.ok) { throw new Error(data.error?.message || `Request failed with HTTP ${response.status}.`); } return data; } function setBusy(isBusy) { const button = document.querySelector('#runButton'); button.disabled = isBusy; button.textContent = isBusy ? (state.activeTool === 'transcribe' ? currentUiT('running') : currentUiT('runningOther')) : currentUiT('run'); } function currentLanguage() { return document.querySelector('input[name="language"]:checked')?.value || 'en'; } function currentRedactionMode() { return document.querySelector('input[name="redactionMode"]:checked')?.value || 'standard'; } function currentRedactionRegion() { return document.querySelector('input[name="redactionRegion"]:checked')?.value || 'nordic'; } function renderResults(data) { const sections = []; sections.push(sectionHtml('What We Found', renderMainFinding(data))); sections.push(sectionHtml('Evidence Trail', renderEvidence(data))); sections.push(sectionHtml('What Remains Uncertain', renderListish(data.what_remains_uncertain))); sections.push(sectionHtml('Next Practical Step', `

    ${escapeHtml(data.next_practical_step || 'Review the evidence trail.')}

    `)); if (data.disclaimer) { sections.push(`

    ${escapeHtml(data.disclaimer)}

    `); } els.results.innerHTML = sections.join(''); } function renderMainFinding(data) { if (data.tool === 'ask') { return `

    ${escapeHtml(data.answer || data.what_we_found || '')}

    `; } if (data.tool === 'redact') { return `
    ${escapeHtml(data.redacted_text || '')}
    ${renderEntityCounts(data.entity_counts)}`; } if (data.tool === 'timeline') { lastTimelineEvents = data.events || []; const csvBtn = lastTimelineEvents.length ? `
    ` : ''; return `

    ${escapeHtml(data.what_we_found || '')}

    ${renderTimeline(lastTimelineEvents)}${csvBtn}`; } if (data.tool === 'summarize') { return [ `

    ${escapeHtml(data.what_we_found || '')}

    `, detailList('Key Facts', data.key_facts), detailList('Dates', data.dates), detailList('Parties', data.parties), detailList('Legal References Detected', data.legal_references_detected), ].join(''); } if (data.tool === 'search') { return `

    ${escapeHtml(data.what_we_found || '')}

    `; } return `

    ${escapeHtml(data.what_we_found || '')}

    `; } function currentTranscribeLang() { return document.querySelector('input[name="transcribeLang"]:checked')?.value || 'auto'; } function renderEvidence(data) { const items = data.evidence_trail || data.sources || data.hits || []; if (!items.length) { return '

    No evidence trail was available for this request.

    '; } return `
    ${items.map(renderEvidenceItem).join('')}
    `; } function renderEvidenceItem(item) { const title = item.title || item.citation || 'Source'; const body = item.excerpt || item.why_it_matters || item.citation || ''; const chunkText = item.chunk_text || ''; const meta = [ item.package_or_corpus, item.section, item.score !== undefined && item.score !== null ? `score ${item.score}` : '', ].filter(Boolean).join(' · '); const chunkToggle = (chunkText && chunkText !== body) ? `
    View chunk
    ${escapeHtml(chunkText)}
    ` : ''; return `

    ${escapeHtml(title)}

    ${meta ? `

    ${escapeHtml(meta)}

    ` : ''}

    ${escapeHtml(body)}

    ${chunkToggle}
    `; } function renderTimeline(events) { if (!events.length) { return '

    No events were identified.

    '; } return `
      ${events.map((ev) => `
    1. ${escapeHtml(ev.date || 'unknown')} ${ev.date_type ? `${escapeHtml(ev.date_type)}` : ''} ${escapeHtml(ev.actor || 'unknown actor')}

      ${escapeHtml(ev.event || '')}

      ${ev.source_excerpt ? `${escapeHtml(ev.source_excerpt)}` : ''}
    2. `).join('')}
    `; } function exportTimelineCSV(events) { const header = ['Date', 'Date Type', 'Actor', 'Event', 'Source Excerpt', 'Confidence']; const rows = events.map((ev) => [ ev.date || '', ev.date_type || '', ev.actor || '', ev.event || '', ev.source_excerpt || '', ev.confidence || '', ]); const csv = [header, ...rows] .map((row) => row.map((cell) => `"${String(cell).replace(/"/g, '""')}"`).join(',')) .join('\n'); const blob = new Blob([csv], { type: 'text/csv' }); const url = URL.createObjectURL(blob); const a = Object.assign(document.createElement('a'), { href: url, download: 'timeline.csv' }); a.click(); URL.revokeObjectURL(url); } function currentTranscribeEngine() { const el = document.querySelector('input[name="engine"]:checked'); return el ? el.value : 'gpu'; } function currentTranscribeModel() { const el = document.querySelector('input[name="model"]:checked'); return el ? el.value : 'small'; } function currentBeamSize() { const el = document.querySelector('input[name="beam_size"]:checked'); return el ? el.value : '5'; } function currentTask() { const el = document.querySelector('input[name="task"]:checked'); return el ? el.value : 'transcribe'; } async function runTranscribe() { if (!audioQueue.length) { els.status.textContent = currentUiT('noFileSelected'); return; } const engine = currentTranscribeEngine(); if (engine === 'openai') { const key = document.getElementById('openaiKeyInput')?.value?.trim(); if (!key || !key.startsWith('sk-')) { els.status.textContent = currentUiT('missingOpenaiKey'); return; } const oversized = audioQueue.find((item) => item.file.size > 25 * 1024 * 1024); if (oversized) { els.status.textContent = currentUiT('openaiFileTooLarge', oversized.file.name); return; } } if (engine === 'azure') { const key = document.getElementById('azureKeyInput')?.value?.trim(); if (!key) { els.status.textContent = currentUiT('missingAzureKey'); return; } } setBusy(true); const initPrompt = els.initPromptInput?.value?.trim() || ''; const diarize = els.diarizeCheck?.checked ?? false; const numSpeakers = parseInt(els.numSpeakersInput?.value || '', 10); const vadFilter = document.getElementById('vadFilterCheck')?.checked ?? false; const total = audioQueue.length; // Reset all items to pending before starting audioQueue.forEach((item) => { item.status = 'pending'; item.result = null; }); renderAudioQueue(); let cumulativeOffset = 0; let allTranscripts = []; let allSegments = []; let firstSpeakerRoles = null; let lastResult = null; for (let i = 0; i < audioQueue.length; i++) { const item = audioQueue[i]; item.status = 'processing'; renderAudioQueue(); const startTime = Date.now(); let elapsed = 0; const clipLabel = currentUiT('clipLabel', i + 1, total); els.status.textContent = `${clipLabel}…`; const timer = setInterval(() => { elapsed = Math.floor((Date.now() - startTime) / 1000); const m = Math.floor(elapsed / 60); const s = elapsed % 60; const t = m > 0 ? `${m}:${pad2(s)}` : `${s}s`; els.status.textContent = `${clipLabel}… ${t}`; updateTranscribeTrace(elapsed, engine, clipLabel); }, 1000); try { const formData = new FormData(); formData.append('audio', item.file); formData.append('engine', engine); formData.append('language', currentTranscribeLang()); formData.append('model', currentTranscribeModel()); formData.append('beam_size', currentBeamSize()); formData.append('task', currentTask()); formData.append('time_offset', String(cumulativeOffset)); if (vadFilter) formData.append('vad_filter', '1'); if (initPrompt) formData.append('initial_prompt', initPrompt); if (diarize) { formData.append('diarize', '1'); if (numSpeakers >= 2) formData.append('num_speakers', String(numSpeakers)); } if (engine === 'openai') { formData.append('openai_key', document.getElementById('openaiKeyInput')?.value?.trim()); } if (engine === 'azure') { formData.append('azure_key', document.getElementById('azureKeyInput')?.value?.trim()); formData.append('azure_region', document.getElementById('azureRegionInput')?.value?.trim() || 'norwayeast'); } const resp = await fetch('api/transcribe.php', { method: 'POST', credentials: 'same-origin', body: formData, }); const data = await resp.json().catch(() => ({})); if (!resp.ok || !data.ok) { throw new Error(data.error?.message || currentUiT('transcribeFailed', resp.status)); } clearInterval(timer); item.status = 'done'; item.result = data; lastResult = data; allTranscripts.push(data.transcript || ''); allSegments.push(...(data.segments || [])); if (!firstSpeakerRoles && data.speaker_roles && Object.keys(data.speaker_roles).length) { firstSpeakerRoles = data.speaker_roles; } // Advance offset by this clip's duration (fall back to file-size estimate at 128 kbps) cumulativeOffset += data.duration_sec > 0 ? data.duration_sec : item.file.size / (128 * 1024 / 8); } catch (err) { clearInterval(timer); item.status = 'error'; renderAudioQueue(); els.status.textContent = `${clipLabel}: ${err.message}`; renderTrace([{ label: currentUiT('errorLabel', clipLabel), detail: err.message, status: 'warning' }]); setBusy(false); return; } renderAudioQueue(); } // Merge results const merged = { ...lastResult, transcript: allTranscripts.join('\n\n'), segments: allSegments, speaker_roles: firstSpeakerRoles, num_speakers: lastResult?.num_speakers ?? 0, duration_sec: cumulativeOffset, }; lastTranscriptData = merged; renderTranscriptResults(merged); const totalSec = Math.round(cumulativeOffset); const totalMin = Math.floor(totalSec / 60); const remSec = totalSec % 60; const durLabel = totalMin > 0 ? `${totalMin}m ${remSec}s` : `${totalSec}s`; els.status.textContent = currentUiT('done', total, durLabel); setBusy(false); } function updateTranscribeTrace(elapsed, engine, clipLabel) { if (!clipLabel) clipLabel = currentUiT('clipLabel', 1, 1); const engineLabel = engine === 'openai' ? 'OpenAI API' : engine === 'azure' ? 'Azure Speech' : 'Whisper GPU'; let label, detail; if (elapsed < 10) { label = currentUiT('traceUploadLabel', clipLabel, engineLabel); detail = currentUiT('traceUploadDetail', engine); } else if (elapsed < 60) { label = currentUiT('traceProcessingLabel', clipLabel, engineLabel); detail = currentUiT('traceProcessingDetail', engine); } else { label = currentUiT('traceStillLabel', clipLabel); detail = currentUiT('traceStillDetail', elapsed); } renderTrace([{ label, detail, status: 'running' }]); } function renderTranscriptResults(data) { const speakerRoles = data.speaker_roles || {}; const segments = data.segments || []; const hasSpeakers = segments.some((s) => s.speaker); const speakerOrder = [...new Set(segments.filter((s) => s.speaker).map((s) => s.speaker))]; const rolesHtml = speakerOrder.length ? `

    ${speakerOrder.map((id, i) => { const role = speakerRoles[id] || id; return `${escapeHtml(role)}${escapeHtml(id)}`; }).join('')}

    ` : ''; const segmentsHtml = hasSpeakers ? `
    Segments (${segments.length})
    ${segments.map((seg) => { const idx = speakerOrder.indexOf(seg.speaker); const roleLabel = seg.speaker && speakerRoles[seg.speaker] ? `${speakerRoles[seg.speaker]} (${seg.speaker})` : (seg.speaker || ''); return `
    ${fmtTime(seg.start)}–${fmtTime(seg.end)} ${seg.speaker ? `${escapeHtml(roleLabel)}` : ''} ${escapeHtml(seg.text)}
    `; }).join('')}
    ` : ''; const dlSrtVtt = segments.length ? ` ` : ''; els.results.innerHTML = `

    Transcript

    ${rolesHtml}
    ${escapeHtml(data.transcript)}
    ${segmentsHtml}
    ${dlSrtVtt}
    `; const traceMeta = []; if (data.duration_sec) traceMeta.push({ label: `Duration: ${Math.round(data.duration_sec)}s`, detail: '', status: 'complete' }); if (data.language) traceMeta.push({ label: `Language: ${data.language}`, detail: '', status: 'complete' }); if (data.num_speakers > 1) traceMeta.push({ label: `Speakers detected: ${data.num_speakers}`, detail: Object.entries(speakerRoles).map(([id, r]) => `${id}: ${r}`).join(', ') || '', status: 'complete' }); if (data.model) traceMeta.push({ label: `Model: ${data.model}`, detail: '', status: 'complete' }); renderTrace(traceMeta.length ? traceMeta : [{ label: 'Transcribed', detail: '', status: 'complete' }]); } function fmtTime(secs) { const h = Math.floor(secs / 3600); const m = Math.floor((secs % 3600) / 60); const s = Math.floor(secs % 60); const parts = h > 0 ? [pad2(h), pad2(m), pad2(s)] : [pad2(m), pad2(s)]; return parts.join(':'); } function pad2(n) { return String(n).padStart(2, '0'); } function toSrtTime(secs) { const h = Math.floor(secs / 3600); const m = Math.floor((secs % 3600) / 60); const s = Math.floor(secs % 60); const ms = Math.round((secs % 1) * 1000); return `${pad2(h)}:${pad2(m)}:${pad2(s)},${String(ms).padStart(3, '0')}`; } function toVttTime(secs) { return toSrtTime(secs).replace(',', '.'); } function downloadBlob(blob, filename) { const url = URL.createObjectURL(blob); const a = Object.assign(document.createElement('a'), { href: url, download: filename }); a.click(); URL.revokeObjectURL(url); } function downloadTranscriptTxt() { if (!lastTranscriptData) return; downloadBlob(new Blob([lastTranscriptData.transcript], { type: 'text/plain' }), 'transcript.txt'); } function downloadTranscriptSrt() { if (!lastTranscriptData?.segments?.length) return; const { segments, speaker_roles: roles = {} } = lastTranscriptData; const lines = segments.map((seg, i) => { const spk = seg.speaker ? `[${roles[seg.speaker] || seg.speaker}] ` : ''; return `${i + 1}\n${toSrtTime(seg.start)} --> ${toSrtTime(seg.end)}\n${spk}${seg.text}\n`; }); downloadBlob(new Blob([lines.join('\n')], { type: 'text/srt' }), 'transcript.srt'); } function downloadTranscriptVtt() { if (!lastTranscriptData?.segments?.length) return; const { segments, speaker_roles: roles = {} } = lastTranscriptData; const lines = ['WEBVTT\n']; segments.forEach((seg) => { const spk = seg.speaker ? `` : ''; lines.push(`${toVttTime(seg.start)} --> ${toVttTime(seg.end)}\n${spk}${seg.text}\n`); }); downloadBlob(new Blob([lines.join('\n')], { type: 'text/vtt' }), 'transcript.vtt'); } function resetAudio() { audioQueue = []; if (!els.audioInput) return; els.audioInput.value = ''; if (els.audioPrompt) els.audioPrompt.classList.remove('is-hidden'); if (els.audioFileInfo) els.audioFileInfo.classList.add('is-hidden'); if (els.audioQueueList) els.audioQueueList.innerHTML = ''; } function setupAudio() { if (!els.audioZone) return; els.audioZone.addEventListener('dragover', (e) => { e.preventDefault(); els.audioZone.classList.add('is-drag-over'); }); els.audioZone.addEventListener('dragleave', (e) => { if (!els.audioZone.contains(e.relatedTarget)) { els.audioZone.classList.remove('is-drag-over'); } }); els.audioZone.addEventListener('drop', (e) => { e.preventDefault(); els.audioZone.classList.remove('is-drag-over'); if (e.dataTransfer?.files?.length) handleAudioFiles(e.dataTransfer.files); }); els.audioZone.addEventListener('click', (e) => { if (e.target === els.audioClear || els.audioClear?.contains(e.target)) return; if (e.target === els.audioInput) return; if (e.target.tagName === 'LABEL') return; if (e.target.closest('#audioFileInfo') && e.target.tagName !== 'LABEL') return; els.audioInput.click(); }); els.audioInput.addEventListener('change', () => { if (els.audioInput.files?.length) handleAudioFiles(els.audioInput.files); els.audioInput.value = ''; }); els.audioClear.addEventListener('click', () => { resetAudio(); els.status.textContent = ''; }); } function setupTranscribeControls() { document.querySelectorAll('input[name="engine"]').forEach((radio) => { radio.addEventListener('change', () => { const engine = currentTranscribeEngine(); document.getElementById('openaiKeyControl')?.classList.toggle('is-hidden', engine !== 'openai'); document.getElementById('azureKeyControl')?.classList.toggle('is-hidden', engine !== 'azure'); document.getElementById('modelControl')?.classList.toggle('is-hidden', engine === 'openai' || engine === 'azure'); }); }); } function setupVocabPresets() { if (!els.vocabPresets) return; els.vocabPresets.addEventListener('click', (e) => { const btn = e.target.closest('.vocab-btn'); if (!btn) return; const preset = btn.dataset.preset; if (preset && els.initPromptInput) { els.initPromptInput.value = VOCAB_PRESETS[preset] ?? ''; els.vocabPresets.querySelectorAll('.vocab-btn').forEach((b) => b.classList.remove('is-active')); btn.classList.add('is-active'); if (preset !== 'custom') els.initPromptInput.focus(); } }); } function handleAudioFiles(fileList) { const allowedExts = ['mp3', 'wav', 'ogg', 'oga', 'm4a', 'mp4', 'flac', 'webm', 'aac']; let added = 0; let skipped = []; Array.from(fileList).forEach((file) => { const ext = file.name.split('.').pop().toLowerCase(); if (!allowedExts.includes(ext)) { skipped.push(file.name); return; } const sizeMB = file.size / 1024 / 1024; if (sizeMB > 200) { skipped.push(currentUiT('fileSizeExceeded', file.name, sizeMB.toFixed(1))); return; } audioQueue.push({ file, status: 'pending', result: null }); added++; }); if (skipped.length) { els.status.textContent = currentUiT('filesSkipped', skipped.join(', ')); } else if (added > 0) { els.status.textContent = currentUiT('filesInQueue', audioQueue.length); } renderAudioQueue(); } function renderAudioQueue() { if (!els.audioQueueList) return; if (!audioQueue.length) { els.audioPrompt.classList.remove('is-hidden'); els.audioFileInfo.classList.add('is-hidden'); return; } els.audioPrompt.classList.add('is-hidden'); els.audioFileInfo.classList.remove('is-hidden'); els.audioQueueList.innerHTML = audioQueue.map((item, i) => { const sizeMB = (item.file.size / 1024 / 1024).toFixed(1); const statusIcon = item.status === 'processing' ? '⏳' : item.status === 'done' ? '✓' : item.status === 'error' ? '✗' : `${i + 1}.`; const statusClass = `queue-item queue-item--${item.status}`; return `
  • ${statusIcon} ${escapeHtml(item.file.name)} ${sizeMB} MB
  • `; }).join(''); } function renderEntityCounts(counts = {}) { const entries = Object.entries(counts).filter(([, count]) => Number(count) > 0); if (!entries.length) { return '

    No deterministic sensitive categories detected.

    '; } return ``; } function detailList(title, values = []) { if (!Array.isArray(values) || !values.length) { return ''; } return `

    ${escapeHtml(title)}

    `; } function renderListish(value) { if (Array.isArray(value)) { if (!value.length) { return '

    No uncertainty listed.

    '; } return ``; } return `

    ${escapeHtml(value || 'No uncertainty listed.')}

    `; } function sectionHtml(title, content) { return `

    ${escapeHtml(title)}

    ${content}
    `; } function renderTrace(trace) { if (!trace.length) { els.traceList.innerHTML = `
  • Waiting

    Run a tool to see interpretation, retrieval, confidence, uncertainty, and next step.

  • `; return; } els.traceList.innerHTML = trace.map((item) => `
  • ${escapeHtml(item.label || 'Step')}

    ${escapeHtml(item.detail || '')}

  • `).join(''); } function renderHealth(data) { const checks = Object.entries(data.checks || {}).map(([name, check]) => ({ label: name.replaceAll('_', ' '), detail: check.detail || '', status: check.ok ? 'complete' : 'warning', })); renderTrace(checks); } function escapeHtml(value) { return String(value ?? '') .replaceAll('&', '&') .replaceAll('<', '<') .replaceAll('>', '>') .replaceAll('"', '"') .replaceAll("'", '''); }