chore: initial project skeleton
Acauã: Network Detection & Threat Hunting, heuristic analysis over a rolling 7-day window using deterministic math (time series, graph theory, information theory) instead of opaque ML models. Third product in the Ciberfauna ecosystem, alongside Guará and Sabiá. Follows the ecosystem's established conventions: OpenWolf project memory, bilingual PT-BR/EN docs and UI, Gitea Actions CI/CD on the same self-hosted runners, Conventional Commits, SemVer, logo and productName handling, MIT OR Apache-2.0 licensing. Architecture decision (made with the project owner after a dedicated consultation, not the original blueprint's suggested stack): Rust throughout, not Python/FastAPI/React. Most of the statistics (Bowley skew, MADM, Shannon entropy, PCR, Z-score, novel-edge detection, pivot chains) reduces to SQL over an embedded DuckDB/Parquet store; only the spectral analysis and graph centrality need host-language code, and both have workable Rust crates. Documented in full, including six corrections to the original blueprint's math (Rayleigh/Schuster instead of a degenerate Lomb-Scargle over bare timestamps, an explicit sentinel for Bowley skew's Q3=Q1 case, Jensen-Shannon instead of unbounded KL, a dedicated long-connection detector, JA4 vs. JA4+ licensing caution, deterministic per-alert evidence), in docs/architecture.md. Skeleton only: crates/acaua-core has the four detection pillars, fusion, storage, zeek log parsing and the updater as typed stubs that compile and return a clear "skeleton" status rather than real detection logic — that is separate, future work. crates/acaua-cli has serve/analyze/doctor/update. apps/gui is a minimal Tauri shell. Also already includes the one-click desktop self-update mechanism shared with Guará and Sabiá (AppImage/.deb/Windows installer), even with no release published yet, for consistency across the ecosystem. No Gitea repository exists for this project yet; this is a local-only commit. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01VAyr8d7HuAdUGB6aA5xmDD
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Lucas RayanandClaude Sonnet 5 committed
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import { setLang, tr } from './i18n.js';
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const $ = (selector) => document.querySelector(selector);
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const tauriInvoke = window.__TAURI__?.core?.invoke;
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const connection = $('#connection');
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const connectionText = $('#connectionText');
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const version = $('#version');
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const updateBtn = $('#updateBtn');
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const datasetPath = $('#datasetPath');
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const analyzeBtn = $('#analyzeBtn');
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const refreshBtn = $('#refreshBtn');
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const output = $('#output');
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const alertList = $('#alertList');
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const settingsDlg = $('#settingsDlg');
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const settingsBtn = $('#settingsBtn');
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const closeSettings = $('#closeSettings');
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const doneSettings = $('#doneSettings');
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const langSel = $('#langSel');
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const themePick = $('#themePick');
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let lastAlerts = [];
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let themePreference = localStorage.getItem('acaua-theme') || 'auto';
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async function fetchJson(path, options = {}) {
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const response = await fetch(path, options);
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const body = await response.json().catch(() => ({}));
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if (!response.ok) throw new Error(body.error || response.statusText);
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return body;
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}
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async function call(command, args = {}) {
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if (tauriInvoke) return tauriInvoke(command, args);
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switch (command) {
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case 'app_info':
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return fetchJson('/api/status');
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case 'analyze_dataset':
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return fetchJson('/api/analyze', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify(args),
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});
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case 'list_alerts':
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return fetchJson('/api/alerts');
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case 'update_check':
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return fetchJson('/api/update');
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case 'doctor_report':
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return fetchJson('/api/health');
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default:
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throw new Error(`unsupported command: ${command}`);
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}
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}
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function message(template, ...values) {
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let index = 0;
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return tr(template).replace(/\{n\}/g, () => values[index++] ?? '');
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}
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function renderAlerts(alerts) {
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lastAlerts = Array.isArray(alerts) ? alerts : [];
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alertList.replaceChildren();
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if (!lastAlerts.length) {
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const empty = document.createElement('li');
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empty.className = 'empty';
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empty.textContent = tr('Nenhum alerta ainda.');
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alertList.append(empty);
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return;
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}
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for (const alert of lastAlerts) {
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const item = document.createElement('li');
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const meta = document.createElement('div');
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meta.className = 'alert-meta';
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const pillar = document.createElement('strong');
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pillar.textContent = message('Pilar {n}', alert.pillar);
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const score = document.createElement('span');
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score.className = 'mono';
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score.textContent = Number(alert.score).toFixed(3);
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meta.append(pillar, score);
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const summary = document.createElement('div');
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summary.className = 'alert-summary';
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summary.setAttribute('data-i18n-skip', '');
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summary.textContent = alert.summary;
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item.append(meta, summary);
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alertList.append(item);
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}
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}
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async function refreshStatus() {
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try {
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const info = await call('app_info');
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version.textContent = `v${info.version}`;
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connectionText.textContent = tr('Serviço local ativo');
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connection.classList.remove('offline');
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} catch (error) {
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connectionText.textContent = tr('Serviço indisponível');
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connection.classList.add('offline');
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version.textContent = '—';
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console.error(error);
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}
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}
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async function refreshAlerts() {
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try {
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renderAlerts(await call('list_alerts'));
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} catch (error) {
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console.error(error);
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}
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}
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async function analyzeDataset() {
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const path = datasetPath.value.trim();
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if (!path) {
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output.textContent = tr('Nenhum dataset selecionado.');
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return;
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}
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analyzeBtn.disabled = true;
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output.textContent = tr('Analisando…');
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try {
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const report = await call('analyze_dataset', { path });
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output.textContent = message(
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'Análise concluída: {n} registros e {n} alertas.',
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report.records,
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report.alerts.length,
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);
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await refreshAlerts();
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} catch (error) {
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output.textContent = message('Falha na análise: {n}', error.message);
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} finally {
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analyzeBtn.disabled = false;
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}
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}
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async function checkUpdate() {
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updateBtn.disabled = true;
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updateBtn.textContent = tr('Verificando atualização…');
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try {
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const status = await call('update_check');
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updateBtn.textContent = status.update_available
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? message('Atualização {n} disponível.', status.latest_version)
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: message('Versão {n} é a mais recente.', status.current_version);
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} catch (error) {
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updateBtn.title = message('Não foi possível verificar a atualização: {n}', error.message);
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updateBtn.textContent = tr('checar atualização');
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} finally {
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updateBtn.disabled = false;
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window.setTimeout(() => {
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updateBtn.textContent = tr('checar atualização');
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updateBtn.title = '';
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}, 6000);
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}
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}
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function applyTheme(preference) {
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themePreference = preference;
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localStorage.setItem('acaua-theme', preference);
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const light = window.matchMedia('(prefers-color-scheme: light)').matches;
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const effective = preference === 'auto' ? (light ? 'light' : 'dark') : preference;
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document.documentElement.dataset.theme = effective;
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themePick.querySelectorAll('[data-theme-pick]').forEach((button) => {
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button.classList.toggle('active', button.dataset.themePick === preference);
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});
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}
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function openSettings() {
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langSel.value = localStorage.getItem('acaua-lang') || 'auto';
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settingsDlg.showModal();
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}
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function closeDialog() {
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settingsDlg.close();
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}
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function setActiveNav(target) {
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document.querySelectorAll('.nav-item').forEach((button) => {
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button.classList.toggle('active', button.dataset.target === target);
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});
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}
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function init() {
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applyTheme(themePreference);
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langSel.value = localStorage.getItem('acaua-lang') || 'auto';
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setLang(langSel.value);
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refreshStatus();
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refreshAlerts();
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analyzeBtn.addEventListener('click', analyzeDataset);
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datasetPath.addEventListener('keydown', (event) => {
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if (event.key === 'Enter') analyzeDataset();
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});
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refreshBtn.addEventListener('click', async () => {
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await refreshStatus();
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await refreshAlerts();
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});
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updateBtn.addEventListener('click', checkUpdate);
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settingsBtn.addEventListener('click', openSettings);
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closeSettings.addEventListener('click', closeDialog);
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doneSettings.addEventListener('click', closeDialog);
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langSel.addEventListener('change', () => {
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localStorage.setItem('acaua-lang', langSel.value);
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setLang(langSel.value);
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refreshStatus();
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renderAlerts(lastAlerts);
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updateBtn.textContent = tr('checar atualização');
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});
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themePick.addEventListener('click', (event) => {
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const button = event.target.closest('[data-theme-pick]');
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if (button) applyTheme(button.dataset.themePick);
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});
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window.matchMedia('(prefers-color-scheme: light)').addEventListener('change', () => {
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if (themePreference === 'auto') applyTheme('auto');
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});
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document.querySelectorAll('.nav-item').forEach((button) => {
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button.addEventListener('click', () => {
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const target = button.dataset.target;
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setActiveNav(target);
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if (target === 'settings') openSettings();
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else document.getElementById(target)?.scrollIntoView({ behavior: 'smooth', block: 'start' });
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});
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});
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}
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init();
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