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Merge branch 'develop'

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dadaloop82
2026-06-02 08:59:19 +00:00
parent 7947f47e6d 7104483dac
commit 3a4e843334
10 changed files with 7775 additions and 7158 deletions
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CHANGELOG.md
+11
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@@ -11,6 +11,17 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
- **Recipe scraps tips** — During cooking steps, detect "waste" generated (peels, cores, bones, eggshells, coffee grounds, citrus zest, etc.) and surface AI-powered tips on how to reuse them (compost, natural cleaner, broth, candied peel, etc.). Could be shown as an optional collapsible hint card below the step that generates the scrap.
## [1.7.35] - 2026-06-02
### Fixed
- **Barcode scanner accepts invalid codes** — Manual barcode input with an incorrect EAN checksum now blocks the lookup and shows an error (previously showed a warning but proceeded anyway). The native `BarcodeDetector` path now also validates EAN-8/EAN-13/UPC checksum before confirming a scan, consistent with the Quagga fallback which already did this check.
- **Recipe persons +/− buttons stopped working in the generation dialog** — A duplicate `adjustRecipePersons` function added for the post-generation rescaler was overriding the one that updated the persons input in the recipe setup dialog. The rescaler is now named `scaleRecipePersons` to avoid the conflict.
## [1.7.34] - 2026-05-30
### Added
- **AI visual barcode fallback** — When the barcode scanner fails to read a barcode within 5 seconds, EverShelf can now automatically capture a camera frame and send it to Gemini Vision to visually identify the product (name, brand, category). On success the product is saved and the inventory form opens just as if a barcode had been scanned. A new toggle in **Settings → Camera** (`AI visual identification (5s fallback)`) lets users enable or disable this feature at any time. Requires Gemini API key configured. Disabled by default.
## [1.7.33] - 2026-05-29
### Fixed
api/index.php
+102 -1
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@@ -604,7 +604,7 @@ function checkRateLimit(string $action): void {
}
// Determine limit based on action
$aiActions = ['gemini_readExpiry', 'gemini_chat', 'gemini_identify', 'gemini_suggest_shopping', 'chat_to_recipe', 'recipe_from_ingredient', 'gemini_number_ocr'];
$aiActions = ['gemini_readExpiry', 'gemini_chat', 'gemini_identify', 'gemini_suggest_shopping', 'chat_to_recipe', 'recipe_from_ingredient', 'gemini_number_ocr', 'gemini_barcode_visual'];
$loginActions = [];
$recipeActions = ['generate_recipe', 'generate_recipe_stream'];
$errorActions = ['report_error', 'check_update'];
@@ -1109,6 +1109,10 @@ try {
geminiNumberOCR();
break;
case 'gemini_barcode_visual':
geminiBarcodeVisual();
break;
case 'get_shopping_price':
getShoppingPrice($db);
break;
@@ -4353,6 +4357,7 @@ function getServerSettings(): void {
'shopping_forecast' => env('SHOPPING_FORECAST', 'true') === 'true',
'shopping_auto_add_threshold' => (int)env('SHOPPING_AUTO_ADD_THRESHOLD', '0'),
'dark_mode' => env('DARK_MODE', 'auto'),
'barcode_ai_fallback' => env('BARCODE_AI_FALLBACK', 'false') === 'true',
// Home Assistant Integration
'ha_enabled' => env('HA_ENABLED', 'false') === 'true',
'ha_url' => env('HA_URL', ''),
@@ -4455,6 +4460,7 @@ function saveSettings(): void {
'shopping_enabled' => 'SHOPPING_ENABLED',
'shopping_smart_suggestions' => 'SHOPPING_SMART_SUGGESTIONS',
'shopping_forecast' => 'SHOPPING_FORECAST',
'barcode_ai_fallback' => 'BARCODE_AI_FALLBACK',
// Home Assistant
'ha_enabled' => 'HA_ENABLED',
];
@@ -10494,6 +10500,101 @@ function geminiNumberOCR(): void {
}
}
// =============================================================================
// ===== GEMINI AI: BARCODE VISUAL FALLBACK ====================================
// =============================================================================
/**
* POST /api/?action=gemini_barcode_visual
* Body: { image: base64-jpeg, lang: 'it'|'en'|'de'|... }
* Returns: { found, source, product } or { found: false, error }
* Uses Gemini vision to visually identify a product from a camera frame
* when the barcode scanner fails to read the barcode after 5 seconds.
*/
function geminiBarcodeVisual(): void {
EverLog::info('geminiBarcodeVisual');
$apiKey = env('GEMINI_API_KEY');
if (empty($apiKey)) {
echo json_encode(['found' => false, 'error' => 'no_api_key']);
return;
}
$input = json_decode(file_get_contents('php://input'), true) ?? [];
$imageBase64 = $input['image'] ?? '';
$lang = $input['lang'] ?? 'it';
if (empty($imageBase64)) {
echo json_encode(['found' => false, 'error' => 'no_image']);
return;
}
$langNote = match($lang) {
'de' => 'Use the German product name if known.',
'fr' => 'Use the French product name if known.',
'es' => 'Use the Spanish product name if known.',
default => 'Use the Italian product name if known.',
};
$payload = [
'contents' => [[
'parts' => [
['text' => "Identify the product shown in this image. {$langNote}\n" .
"Respond with ONLY valid JSON (no markdown, no backticks):\n" .
"{\"name\":\"...\",\"brand\":\"...\",\"category\":\"...\"}\n" .
"- name: the product name (as specific as possible, not just the brand)\n" .
"- brand: the brand/manufacturer, or empty string if not visible\n" .
"- category: one of: latticini, pasta, bevande, snack, carne, pesce, " .
"frutta, verdura, surgelati, condimenti, conserve, cereali, pane, " .
"igiene, pulizia, altro\n" .
"If you cannot identify the product at all, respond with: {\"unknown\":true}"],
['inline_data' => ['mime_type' => 'image/jpeg', 'data' => $imageBase64]],
],
]],
'generationConfig' => [
'temperature' => 0,
'maxOutputTokens' => 200,
'responseMimeType' => 'application/json',
'thinkingConfig' => ['thinkingBudget' => 0],
],
];
$result = callGeminiWithFallback($apiKey, $payload, 15, 'barcode_visual');
if ($result['http_code'] !== 200) {
echo json_encode(['found' => false, 'error' => 'gemini_error_' . $result['http_code']]);
return;
}
$text = trim($result['data']['candidates'][0]['content']['parts'][0]['text'] ?? '');
// Strip accidental markdown fences
$text = preg_replace('/^```json\s*/i', '', $text);
$text = preg_replace('/\s*```$/i', '', trim($text));
$data = json_decode($text, true);
if (!$data || !empty($data['unknown']) || empty($data['name'])) {
echo json_encode(['found' => false]);
return;
}
echo json_encode([
'found' => true,
'source' => 'gemini_visual',
'product' => [
'name' => $data['name'] ?? '',
'brand' => $data['brand'] ?? '',
'category' => $data['category'] ?? '',
'image_url' => '',
'quantity_info' => '',
'nutriscore' => '',
'ingredients' => '',
'allergens' => '',
'conservation' => '',
'origin' => '',
'nova_group' => '',
'ecoscore' => '',
'labels' => '',
'stores' => '',
],
], JSON_UNESCAPED_UNICODE);
}
// =============================================================================
// ===== GEMINI AI: ANOMALY EXPLANATION =======================================
// =============================================================================
assets/js/app.js
+371 -17
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@@ -1943,6 +1943,8 @@ let quaggaRunning = false;
let aiStream = null;
let _scanZoomLevel = 2; // always 2x
let _torchActive = false;
let _aiFallbackTimer = null;
let _aiFallbackExhausted = false; // true after one failed AI visual attempt — reset when scanner is closed
// Apply fixed 2x zoom (hardware if available, CSS fallback)
async function _applyFixedZoom() {
@@ -2083,13 +2085,15 @@ function _showScanConfirm(name) {
// ===== AI NUMBER OCR (Gemini reads printed barcode digits) =====
let _numOcrRunning = false;
async function _tryGeminiNumberOCR() {
async function _tryGeminiNumberOCR(options = {}) {
const { chainToVisual = false } = options;
if (_numOcrRunning || !_requireGemini()) return;
const video = document.getElementById('scanner-video');
if (!video || !video.videoWidth) { showToast(t('error.camera'), 'error'); return; }
_numOcrRunning = true;
const btn = document.getElementById('scan-num-ocr-btn');
if (btn) { btn.disabled = true; btn.textContent = t('scan.num_ocr_searching'); }
_setScanStatus(t('scan.status_ocr_searching'), 'retry', t('scan.method_ai_ocr'));
try {
const canvas = document.createElement('canvas');
canvas.width = video.videoWidth;
@@ -2098,12 +2102,28 @@ async function _tryGeminiNumberOCR() {
const imageBase64 = canvas.toDataURL('image/jpeg', 0.88).split(',')[1];
const result = await api('gemini_number_ocr', {}, 'POST', { image: imageBase64 });
if (result.barcode) {
scanLog(`AI OCR: found barcode ${result.barcode}`);
showToast(t('scan.num_ocr_found').replace('{code}', result.barcode), 'success');
onBarcodeDetected(result.barcode);
} else {
scanLog('AI OCR: barcode digits not found');
if (chainToVisual && scannerStream && !_aiFallbackExhausted) {
scanLog('AI OCR failed — switching to visual product identification');
_setScanStatus(t('scan.status_ai_visual_searching'), 'retry', t('scan.method_ai_vision'));
await _tryGeminiVisualBarcode();
} else {
showToast(t('scan.num_ocr_not_found'), 'warning');
_setScanStatus(t('scan.status_scanning'), '', '');
}
}
} catch(e) {
scanLog(`AI OCR error: ${e.message}`);
if (chainToVisual && scannerStream && !_aiFallbackExhausted) {
_setScanStatus(t('scan.status_ai_visual_searching'), 'retry', t('scan.method_ai_vision'));
await _tryGeminiVisualBarcode();
} else {
_setScanStatus(t('scan.status_scanning'), '', '');
}
showToast(t('error.connection'), 'error');
} finally {
_numOcrRunning = false;
@@ -2111,6 +2131,225 @@ async function _tryGeminiNumberOCR() {
}
}
// ===== AI VISUAL PRODUCT IDENTIFICATION (auto-fallback after 5s) =====
let _aiBarcodeVisualRunning = false;
let _aiDetectedProductDraft = null;
let _aiInventoryCandidates = [];
function _showScanAiOverlay(msg) {
const el = document.getElementById('scan-ai-overlay');
const msgEl = document.getElementById('scan-ai-overlay-msg');
if (el) el.style.display = 'flex';
if (msgEl) msgEl.textContent = msg || '';
}
function _hideScanAiOverlay() {
const el = document.getElementById('scan-ai-overlay');
if (el) el.style.display = 'none';
}
function _showAiRetryButton() {
const btn = document.getElementById('scan-ai-retry-btn');
if (btn) btn.style.display = '';
}
function _clearAiMatchPanel() {
const result = document.getElementById('scan-result');
if (!result) return;
result.style.display = 'none';
result.innerHTML = '';
_aiDetectedProductDraft = null;
_aiInventoryCandidates = [];
}
function _renderAiCandidateRow(item, idx) {
const catIcon = CATEGORY_ICONS[mapToLocalCategory(item.category, item.name)] || '📦';
const qty = (item.total_qty !== null && item.total_qty !== undefined)
? `${parseFloat(item.total_qty)} ${item.unit || ''}`.trim()
: '';
return `
<button class="scan-ai-candidate-item" type="button" onclick="_selectAiInventoryCandidate(${idx})">
<span class="scan-ai-candidate-icon">${catIcon}</span>
<span class="scan-ai-candidate-info">
<span class="scan-ai-candidate-name">${escapeHtml(item.name || '')}</span>
<span class="scan-ai-candidate-meta">${escapeHtml((item.brand || '') + (qty ? ' · ' + qty : ''))}</span>
</span>
<span class="scan-ai-candidate-cta">${t('scan.ai_match_use_btn')}</span>
</button>
`;
}
function _showAiMatchChoices(aiProduct, candidates) {
const result = document.getElementById('scan-result');
if (!result) return;
const aiName = aiProduct?.name || t('product.not_recognized');
const aiBrand = aiProduct?.brand || '';
const catIcon = CATEGORY_ICONS[mapToLocalCategory(aiProduct?.category || '', aiName)] || '📦';
const itemsHtml = (candidates || []).slice(0, 3).map((it, i) => _renderAiCandidateRow(it, i)).join('');
result.innerHTML = `
<div class="scan-ai-match-box">
<div class="scan-ai-match-head">
<div class="scan-ai-match-title">${t('scan.ai_match_title')}</div>
<div class="scan-ai-match-subtitle">${t('scan.ai_match_subtitle')}</div>
</div>
${itemsHtml ? `
<div class="scan-ai-match-list-wrap">
<div class="scan-ai-match-list-title">${t('scan.ai_match_existing')}</div>
<div class="scan-ai-match-list">${itemsHtml}</div>
</div>
` : `
<div class="scan-ai-match-empty">${t('scan.ai_match_none')}</div>
`}
<button class="btn btn-primary scan-ai-add-btn" type="button" onclick="_confirmAiDetectedProduct()">
${t('scan.ai_match_add_btn').replace('{name}', escapeHtml(aiName))}
</button>
<div class="scan-ai-detected-label">${t('scan.ai_detected_label')}</div>
<div class="scan-ai-detected-pill">${catIcon} ${escapeHtml(aiName)}${aiBrand ? ' · ' + escapeHtml(aiBrand) : ''}</div>
</div>
`;
result.style.display = 'block';
}
async function _confirmAiDetectedProduct() {
const p = _aiDetectedProductDraft;
if (!p) return;
showLoading(true);
try {
const saveResult = await api('product_save', {}, 'POST', {
barcode: '',
name: p.name || t('product.not_recognized'),
brand: p.brand || '',
category: p.category || '',
image_url: '',
unit: 'pz',
default_quantity: 1,
package_unit: '',
notes: '',
});
if (saveResult.id) {
currentProduct = {
id: saveResult.id,
barcode: '',
name: p.name || t('product.not_recognized'),
brand: p.brand || '',
category: p.category || '',
image_url: '',
unit: 'pz',
default_quantity: 1,
package_unit: '',
_confCount: 0,
weight_info: '',
};
addToScanRecents(currentProduct);
_clearAiMatchPanel();
showLoading(false);
setTimeout(() => showProductAction(), 250);
} else {
showLoading(false);
showToast(t('error.connection'), 'error');
}
} catch (_) {
showLoading(false);
showToast(t('error.connection'), 'error');
}
}
function _selectAiInventoryCandidate(idx) {
const p = _aiInventoryCandidates[idx];
if (!p) return;
currentProduct = {
id: p.id,
barcode: p.barcode || '',
name: p.name || '',
brand: p.brand || '',
category: p.category || '',
image_url: p.image_url || '',
unit: p.unit || 'pz',
default_quantity: p.default_quantity || 1,
package_unit: p.package_unit || '',
_confCount: 0,
weight_info: '',
};
if (p.notes) {
const pesoMatch = p.notes.match(/Peso:\s*([^·]+)/);
if (pesoMatch) currentProduct.weight_info = pesoMatch[1].trim();
}
addToScanRecents(currentProduct);
_clearAiMatchPanel();
setTimeout(() => showProductAction(), 250);
}
async function _retryAiScan() {
const btn = document.getElementById('scan-ai-retry-btn');
if (btn) btn.style.display = 'none';
_aiFallbackExhausted = false;
_clearAiMatchPanel();
await _tryGeminiNumberOCR({ chainToVisual: true });
}
async function _tryGeminiVisualBarcode() {
if (_aiBarcodeVisualRunning || !_requireGemini()) return;
const video = document.getElementById('scanner-video');
if (!video || !video.videoWidth) return;
// ★ Capture the frame BEFORE stopping the stream — after stopScanner() the
// video element is blanked and drawImage would send a black image to Gemini.
const canvas = document.createElement('canvas');
canvas.width = video.videoWidth;
canvas.height = video.videoHeight;
canvas.getContext('2d').drawImage(video, 0, 0);
const imageBase64 = canvas.toDataURL('image/jpeg', 0.88).split(',')[1];
if (!imageBase64) { scanLog('AI visual: failed to capture frame'); return; }
_aiBarcodeVisualRunning = true;
stopScanner(); // stop scanner loop while AI processes (stream already captured above)
_setScanStatus(t('scan.status_ai_visual_searching'), 'retry', t('scan.method_ai_vision'));
_showScanAiOverlay(t('scan.ai_overlay_msg'));
try {
const result = await api('gemini_barcode_visual', {}, 'POST', {
image: imageBase64,
lang: _currentLang || 'it',
});
if (result.found && result.product) {
const p = result.product;
scanLog(`AI visual: found "${p.name}" (${p.brand})`);
_hideScanAiOverlay();
showToast(t('scan.ai_fallback_found'), 'success');
_aiDetectedProductDraft = {
name: p.name || t('product.not_recognized'),
brand: p.brand || '',
category: p.category || '',
};
let candidates = [];
try {
const invRes = await api('inventory_search', {
q: _aiDetectedProductDraft.name,
limit: 3,
});
candidates = (invRes.items || []).slice(0, 3);
} catch (_) {
candidates = [];
}
_aiInventoryCandidates = candidates;
_showAiMatchChoices(_aiDetectedProductDraft, candidates);
} else {
scanLog('AI visual: product not identified — exhausted for this session');
_aiFallbackExhausted = true;
_hideScanAiOverlay();
_setScanStatus(t('scan.ai_fallback_exhausted'), 'retry', '');
_showAiRetryButton();
// Restart barcode scanner — AI timer won't fire again (_aiFallbackExhausted=true).
setTimeout(() => initScanner(), 300);
}
} catch (e) {
scanLog(`AI visual error: ${e.message}`);
_aiFallbackExhausted = true;
_hideScanAiOverlay();
_setScanStatus(t('scan.ai_fallback_exhausted'), 'retry', '');
_showAiRetryButton();
setTimeout(() => initScanner(), 300);
} finally {
_aiBarcodeVisualRunning = false;
}
}
// ===== CAMERA HELPER =====
function getCameraConstraints(extraVideo = {}) {
const s = getSettings();
@@ -2296,6 +2535,7 @@ function _applySyncedSettings(serverSettings) {
'shopping_enabled','shopping_mode','shopping_smart_suggestions',
'shopping_forecast','shopping_auto_add_threshold',
'dark_mode',
'barcode_ai_fallback',
// Home Assistant
'ha_enabled','ha_url','ha_tts_entity','ha_webhook_id','ha_webhook_events',
'ha_notify_service','ha_expiry_days'];
@@ -2887,6 +3127,8 @@ async function loadSettingsUI() {
const cameraSelect = document.getElementById('setting-camera-facing');
if (cameraSelect) cameraSelect.value = s.camera_facing || 'environment';
loadCameraDevices();
const baifEl = document.getElementById('setting-barcode-ai-fallback');
if (baifEl) baifEl.checked = s.barcode_ai_fallback === true;
renderAppliances(s.appliances || []);
const mealPlanEnabled = s.meal_plan_enabled !== false;
const mpEnabledEl = document.getElementById('setting-meal-plan-enabled');
@@ -3465,6 +3707,8 @@ async function saveSettings() {
s.dietary = document.getElementById('setting-dietary').value.trim();
// Camera
s.camera_facing = document.getElementById('setting-camera-facing').value;
const baifSave = document.getElementById('setting-barcode-ai-fallback');
if (baifSave) s.barcode_ai_fallback = baifSave.checked;
// Screensaver
const ssEl = document.getElementById('setting-screensaver-enabled');
if (ssEl) s.screensaver_enabled = ssEl.checked;
@@ -3608,6 +3852,7 @@ async function saveSettings() {
shopping_forecast: s.shopping_forecast !== false,
shopping_auto_add_threshold: s.shopping_auto_add_threshold || 0,
dark_mode: s.dark_mode || 'auto',
barcode_ai_fallback: !!s.barcode_ai_fallback,
// Home Assistant
ha_enabled: !!s.ha_enabled,
ha_url: s.ha_url || '',
@@ -3748,6 +3993,18 @@ async function api(action, params = {}, method = 'GET', body = null, extraHeader
// Track current page for auto-refresh
let _currentPageId = 'dashboard';
let _currentPageParam = null;
let _pageHistory = [{ pageId: 'dashboard', param: null }];
function goBack(fallbackPage = 'dashboard') {
if (_pageHistory.length > 1) {
// Drop current page and navigate to the previous entry without re-adding history.
_pageHistory.pop();
const prev = _pageHistory[_pageHistory.length - 1] || { pageId: fallbackPage, param: null };
showPage(prev.pageId, prev.param, { skipHistory: true });
return;
}
showPage(fallbackPage, null, { skipHistory: true });
}
// Refresh current page data without full navigation
function refreshCurrentPage() {
@@ -3765,7 +4022,17 @@ function refreshCurrentPage() {
}
}
function showPage(pageId, param = null) {
function showPage(pageId, param = null, options = {}) {
const skipHistory = !!options.skipHistory;
if (!skipHistory) {
const last = _pageHistory[_pageHistory.length - 1];
const sameAsLast = !!last && last.pageId === pageId && (last.param ?? null) === (param ?? null);
if (!sameAsLast) {
_pageHistory.push({ pageId, param });
if (_pageHistory.length > 80) _pageHistory.shift();
}
}
_currentPageId = pageId;
_currentPageParam = param;
// Hide all pages
@@ -3797,7 +4064,7 @@ function showPage(pageId, param = null) {
}
loadInventory();
break;
case 'scan': initScanner(); clearQuickNameResults(); updateSpesaBanner(); updateScanRecents(); switchScanTab('barcode');
case 'scan': _aiFallbackExhausted = false; _hideScanAiOverlay(); { const _rb = document.getElementById('scan-ai-retry-btn'); if (_rb) _rb.style.display = 'none'; } initScanner(); clearQuickNameResults(); updateSpesaBanner(); updateScanRecents(); switchScanTab('barcode');
// Pre-warm the embedding model the first time user visits scan page
if (typeof window._getCategoryPipeline === 'function' && !window._categoryPipelineReady) {
window._getCategoryPipeline(); // fire-and-forget
@@ -4942,10 +5209,11 @@ async function loadBannerAlerts() {
if (!banner) { _bannerLoading = false; console.warn('[Banner] #alert-banner not found'); return; }
try {
const [invData, predData, anomalyData, finishedData, statsData] = await Promise.all([
const [invData, predData, anomalyData, dupLossData, finishedData, statsData] = await Promise.all([
api('inventory_list'),
api('consumption_predictions').catch(err => { console.warn('[Banner] predictions fetch failed:', err); return { predictions: [] }; }),
api('inventory_anomalies').catch(err => { console.warn('[Banner] anomalies fetch failed:', err); return { anomalies: [] }; }),
api('inventory_duplicate_loss_checks').catch(err => { console.warn('[Banner] duplicate loss checks fetch failed:', err); return { checks: [] }; }),
api('inventory_finished_items').catch(err => { console.warn('[Banner] finished_items fetch failed:', err); return { finished: [] }; }),
api('stats').catch(() => ({ opened: [] })),
]);
@@ -5069,14 +5337,21 @@ async function loadBannerAlerts() {
_bannerQueue.push({ type: 'anomaly', data: an });
});
// 6. Finished products: inventory hit 0, waiting for user confirmation
// 6. Potentially lost products due to rapid duplicate "out" events
const dupChecks = dupLossData.checks || [];
dupChecks.forEach(ch => {
if (confirmed['dup_' + ch.dismiss_key]) return;
_bannerQueue.push({ type: 'dup_loss_check', data: ch });
});
// 7. Finished products: inventory hit 0, waiting for user confirmation
const finished = finishedData.finished || [];
finished.forEach(fin => {
if (confirmed['fin_' + fin.product_id]) return;
_bannerQueue.push({ type: 'finished', data: fin });
});
// 7. Products with no expiry date set (and not permanently dismissed)
// 8. Products with no expiry date set (and not permanently dismissed)
// Warn for ALL food/drink items — only skip igiene/pulizia (non-food).
// Items are capped at 8 per load (opened packages first) to avoid banner overflow.
const noExpiryDismissed = _getNoExpiryDismissed();
@@ -5157,6 +5432,8 @@ function _bannerPriority(entry) {
// Phantom (inflated qty) = 250, Missing = 260 (slightly higher, means data is clearly wrong)
return entry.data.direction === 'missing' ? 260 : 250;
}
case 'dup_loss_check':
return 700; // high-priority check: likely double-consume loss
case 'finished':
return 600; // product ran out — confirm before removing from DB
case 'no_expiry':
@@ -5358,6 +5635,30 @@ function renderBannerItem() {
}
actionsEl.innerHTML = btns;
} else if (entry.type === 'dup_loss_check') {
const ch = entry.data;
banner.className = 'alert-banner banner-dup-loss';
iconEl.textContent = '🧪';
const locInfo = LOCATIONS[ch.location] || { icon: '📦', label: ch.location || '—' };
const locText = `${locInfo.icon} ${locInfo.label}`;
const qtyPair = `${ch.q1} + ${ch.q2}`;
titleEl.textContent = t('dashboard.banner_dup_loss_title').replace('{name}', ch.name);
detailEl.textContent = t('dashboard.banner_dup_loss_detail')
.replace('{location}', locText)
.replace('{seconds}', Math.round(ch.dt_sec || 0))
.replace('{qty_pair}', qtyPair);
let btns = '';
if (ch.inventory_id && ch.inventory_id > 0) {
btns += `<button class="btn-banner btn-banner-edit" onclick="editReviewItem(${ch.inventory_id}, ${ch.product_id})">${t('dashboard.banner_dup_loss_action_fix')}</button>`;
} else {
btns += `<button class="btn-banner btn-banner-edit" onclick="openDuplicateLossCheck(${ch.product_id})">${t('dashboard.banner_dup_loss_action_open')}</button>`;
}
btns += `<button class="btn-banner btn-banner-ok" onclick="dismissDuplicateLossCheck()">${t('dashboard.banner_dup_loss_action_done')}</button>`;
actionsEl.innerHTML = btns;
} else if (entry.type === 'no_expiry') {
const item = entry.data;
banner.className = 'alert-banner banner-no-expiry';
@@ -5495,6 +5796,32 @@ function dismissBannerAnomaly() {
dismissBannerItem();
}
function dismissDuplicateLossCheck() {
const entry = _bannerQueue[_bannerIndex];
if (!entry || entry.type !== 'dup_loss_check') return;
const key = entry.data.dismiss_key;
setReviewConfirmed('dup_' + key);
showToast(t('dashboard.banner_dup_loss_toast_done'), 'success');
dismissBannerItem();
}
async function openDuplicateLossCheck(productId) {
showLoading(true);
try {
const data = await api('product_get', { id: productId });
if (data.product) {
currentProduct = data.product;
showProductAction();
} else {
showToast(t('error.not_found'), 'error');
}
} catch (e) {
showToast(t('error.connection'), 'error');
} finally {
showLoading(false);
}
}
function weighBannerItem() {
const entry = _bannerQueue[_bannerIndex];
if (!entry) return;
@@ -6489,11 +6816,14 @@ async function initScanner() {
const constraints = getCameraConstraints();
scanLog(`Camera mode: ${getSettings().camera_facing || 'environment'}`);
scanLog(`BarcodeDetector: ${_useBarcodeDetector ? 'YES (native)' : 'NO (Quagga fallback)'}`);
scanLog(`BarcodeDetector: ${_useBarcodeDetector ? 'YES (native)' : 'NO (fallback)'}`);
scanLog(`Gemini available: ${_geminiAvailable}`);
scanLog(`AI fallback enabled: ${getSettings().barcode_ai_fallback === true}`);
scanLog(`Constraints: ${JSON.stringify(constraints.video)}`);
try {
stopScanner();
_clearAiMatchPanel();
const stream = await navigator.mediaDevices.getUserMedia(constraints);
const track = stream.getVideoTracks()[0];
@@ -6528,6 +6858,17 @@ async function initScanner() {
}, 4000);
}
// After 5s without a scan, auto-trigger AI visual identification (if enabled)
if (_geminiAvailable && getSettings().barcode_ai_fallback && !_aiFallbackExhausted) {
clearTimeout(_aiFallbackTimer);
_aiFallbackTimer = setTimeout(() => {
if (scannerStream && !_aiFallbackExhausted) { // still scanning — no barcode found yet
scanLog('5s elapsed without barcode — triggering AI OCR fallback');
_tryGeminiNumberOCR({ chainToVisual: true });
}
}, 5000);
}
} catch (err) {
scanLog(`CAMERA ERROR: ${err.name}: ${err.message}`);
console.error('Camera error:', err);
@@ -6598,14 +6939,14 @@ async function startNativeScanner(videoEl) {
if (frameCount === 1) {
updateFeedback('scanning');
_setScanStatus(t('scan.status_scanning'), '', 'Native API');
_setScanStatus(t('scan.status_scanning'), '', '');
}
// After 2s without detection, also start Quagga in parallel as backup
if (!quaggaParallelStarted && (Date.now() - startTime) > 2000) {
quaggaParallelStarted = true;
scanLog('Native: 2s elapsed, spawning Quagga in parallel');
_setScanStatus(t('scan.status_parallel'), 'retry', 'Native + Quagga');
scanLog('Native: 2s elapsed, spawning fallback scanner in parallel');
_setScanStatus(t('scan.status_parallel'), 'retry', '');
quaggaRunning = false; // temporarily release so Quagga can start
startQuaggaScanner(videoEl, false);
quaggaRunning = true; // re-take ownership (Quagga will share)
@@ -6637,6 +6978,13 @@ async function startNativeScanner(videoEl) {
// For other formats (code_128, code_39) require 2 to avoid false reads.
const highConfidence = ['ean_13','ean_8','upc_a','upc_e'].includes(format);
if (highConfidence || detectCount >= 2 || detectionHistory[code].count >= 2) {
if (highConfidence && !validateEANChecksum(code)) {
_invalidBarcodeCount++;
scanLog(`Invalid EAN checksum (native): ${code} (retry #${_invalidBarcodeCount})`);
_setScanStatus(t('scan.status_invalid').replace('{code}', code), 'invalid', 'Native');
lastDetected = ''; detectCount = 0;
return;
}
scanning = false;
quaggaRunning = false;
updateFeedback(null);
@@ -6674,7 +7022,7 @@ function startQuaggaScanner(videoEl, isPrimary = true) {
let frameCount = 0;
let partialCount = 0;
scanLog(`Quagga starting — frontCam: ${frontCam}`);
scanLog(`Fallback scanner starting — frontCam: ${frontCam}`);
let scanning = true;
quaggaRunning = true;
@@ -6850,6 +7198,10 @@ function stopScanner() {
quaggaRunning = false;
_scanZoomLevel = 2; // always 2x on next start
_torchActive = false;
clearTimeout(_aiFallbackTimer); _aiFallbackTimer = null;
// NOTE: _aiFallbackExhausted is intentionally NOT reset here.
// It is only reset in showPage('scan') so that internal stop/restart
// cycles (e.g. initScanner calling stopScanner) don't re-arm the AI timer.
if (scannerStream) {
scannerStream.getTracks().forEach(t => t.stop());
scannerStream = null;
@@ -6861,6 +7213,7 @@ function stopScanner() {
if (tb) tb.classList.remove('torch-on');
// Hide live code
_hideScanLiveCode();
_clearAiMatchPanel();
// Also stop AI camera
if (aiStream) {
aiStream.getTracks().forEach(t => t.stop());
@@ -6871,6 +7224,7 @@ function stopScanner() {
}
async function onBarcodeDetected(barcode) {
clearTimeout(_aiFallbackTimer); _aiFallbackTimer = null;
showLoading(true);
// Vibrate if available
@@ -7026,7 +7380,7 @@ function autoSubmitEAN(inputEl, force = false) {
if (!raw) { showToast(t('error.barcode_empty'), 'error'); inputEl.focus(); return; }
if (!/^\d{4,14}$/.test(raw)) { showToast(t('error.barcode_format'), 'error'); inputEl.focus(); return; }
if (isComplete && !isValid) {
showToast('⚠️ Checksum EAN errato — verifica le cifre', 'warning');
showToast(t('error.barcode_checksum'), 'error'); inputEl.focus(); return;
}
stopScanner();
onBarcodeDetected(raw);
@@ -7781,7 +8135,7 @@ function showProductAction() {
// Update back button: go back to shopping if came from shopping list scan
const backBtn = document.getElementById('action-back-btn');
if (backBtn) backBtn.onclick = _spesaScanTarget ? () => { _spesaScanTarget = null; showPage('shopping'); } : () => showPage('scan');
if (backBtn) backBtn.onclick = () => goBack();
// Show "shopping target" banner if we came from the shopping list
const banner = document.getElementById('shopping-scan-target-banner');
@@ -7795,7 +8149,7 @@ function showProductAction() {
</div>
<div class="shopping-scan-target-actions">
<button class="btn btn-success stb-btn" onclick="confirmShoppingItemFound()">✅ ${t('shopping.scan_target_found')}</button>
<button class="btn btn-secondary stb-btn" onclick="_spesaScanTarget=null; document.getElementById('shopping-scan-target-banner').style.display='none'; document.getElementById('action-back-btn').onclick=()=>showPage('scan')">✕ ${t('btn.cancel')}</button>
<button class="btn btn-secondary stb-btn" onclick="_spesaScanTarget=null; document.getElementById('shopping-scan-target-banner').style.display='none'; document.getElementById('action-back-btn').onclick=()=>goBack()">✕ ${t('btn.cancel')}</button>
</div>
`;
} else if (banner) {
@@ -13559,7 +13913,7 @@ async function toggleRecipeFavorite(btn) {
* Scale recipe ingredient quantities (#123).
* Delta: +1 or -1. Min 1, max 20 persons.
*/
function adjustRecipePersons(delta) {
function scaleRecipePersons(delta) {
const newPersons = Math.max(1, Math.min(20, _recipeCurrentPersons + delta));
if (newPersons === _recipeCurrentPersons) return;
_recipeCurrentPersons = newPersons;
@@ -13604,9 +13958,9 @@ function renderRecipe(r) {
html += '<div class="recipe-meta">';
if (r.meal) html += `<span class="recipe-tag">${_mealLabel(r.meal)}</span>`;
html += `<span class="recipe-tag recipe-persons-ctrl">
<button class="btn-persons-adj" onclick="adjustRecipePersons(-1)">−</button>
<button class="btn-persons-adj" onclick="scaleRecipePersons(-1)">−</button>
<span id="recipe-persons-display">👥 ${r.persons} ${t('recipes.persons_short')}</span>
<button class="btn-persons-adj" onclick="adjustRecipePersons(+1)">+</button>
<button class="btn-persons-adj" onclick="scaleRecipePersons(+1)">+</button>
</span>`;
if (r.prep_time) html += `<span class="recipe-tag">🔪 ${r.prep_time}</span>`;
if (r.cook_time) html += `<span class="recipe-tag">🔥 ${r.cook_time}</span>`;
index.html
+34 -13
View File
@@ -64,7 +64,7 @@
<div id="preloader-warnings" class="preloader-warnings" style="display:none"></div>
<div id="preloader-error-msg" class="preloader-error-msg" style="display:none"></div>
<button id="preloader-retry-btn" class="preloader-retry-btn" style="display:none" onclick="_startupRetry()">🔄 <span data-i18n="startup.retry">Riprova</span></button>
<span class="app-preloader-version" id="preloader-version">v1.7.25</span>
<span class="app-preloader-version" id="preloader-version">v1.7.35</span>
</div>
</div>
@@ -77,7 +77,7 @@
<!-- Title — left-aligned; grows to fill space -->
<div class="header-title-wrap">
<h1 class="header-title" onclick="showPage('dashboard')">
<img src="assets/img/logo/logo_icon.png" alt="" class="header-logo-icon" aria-hidden="true" /><span data-i18n="nav.title">EverShelf</span><span class="header-version">v1.7.25</span>
<img src="assets/img/logo/logo_icon.png" alt="" class="header-logo-icon" aria-hidden="true" /><span data-i18n="nav.title">EverShelf</span><span class="header-version">v1.7.35</span>
</h1>
<!-- Update badge — shown alongside title, never replaces it -->
<span class="header-update-badge" id="header-update-badge" style="display:none"></span>
@@ -194,7 +194,7 @@
<!-- ===== INVENTORY LIST ===== -->
<section class="page" id="page-inventory">
<div class="page-header">
<button class="back-btn" onclick="showPage('dashboard')" data-i18n="btn.back">← Indietro</button>
<button class="back-btn" onclick="goBack()" data-i18n="btn.back">← Indietro</button>
<h2 id="inventory-title" data-i18n="inventory.title">Dispensa</h2>
<button class="page-header-action-btn" onclick="_showExportModal()" title="Export" data-i18n-title="export.btn_title">📤</button>
</div>
@@ -225,7 +225,7 @@
<!-- ===== SCAN PAGE ===== -->
<section class="page" id="page-scan">
<div class="page-header">
<button class="back-btn" onclick="stopScanner(); showPage('dashboard')" data-i18n="btn.back">← Indietro</button>
<button class="back-btn" onclick="goBack()" data-i18n="btn.back">← Indietro</button>
<h2 data-i18n="scan.title">Scansiona</h2>
<button class="scan-spesa-chip" id="scan-spesa-btn" onclick="startSpesaMode()" data-i18n="scan.spesa_btn">🛒 Spesa</button>
</div>
@@ -256,6 +256,14 @@
<span id="scan-status-method" class="scan-status-method"></span>
<span id="scan-status-msg" class="scan-status-msg" data-i18n="scan.status_ready"></span>
</div>
<!-- AI processing overlay (shown when Gemini Vision is analyzing) -->
<div class="scan-ai-overlay" id="scan-ai-overlay" style="display:none">
<div class="scan-ai-overlay-inner">
<div class="loading-spinner"></div>
<span class="scan-ai-overlay-label">Gemini Vision</span>
<span class="scan-ai-overlay-msg" id="scan-ai-overlay-msg"></span>
</div>
</div>
<!-- Success flash overlay -->
<div class="scan-confirm-overlay" id="scan-confirm-overlay" style="display:none">
<div class="scan-confirm-check">✓</div>
@@ -274,6 +282,9 @@
<!-- Scan errors -->
<div class="scan-result" id="scan-result" style="display:none"></div>
<!-- AI retry button (shown after visual identification fails) -->
<button class="btn btn-accent scan-ai-retry-btn" id="scan-ai-retry-btn" style="display:none" onclick="_retryAiScan()" data-i18n="scan.ai_retry_btn">🤖 Riprova con AI</button>
<!-- Recent scans -->
<div class="scan-recents" id="scan-recents" style="display:none">
<span class="scan-recents-label" data-i18n="scan.recents_label">Recenti</span>
@@ -333,7 +344,7 @@
<!-- ===== PRODUCT ACTION (IN/OUT after scan) ===== -->
<section class="page" id="page-action">
<div class="page-header">
<button class="back-btn" id="action-back-btn" onclick="showPage('scan')" data-i18n="btn.back">← Indietro</button>
<button class="back-btn" id="action-back-btn" onclick="goBack()" data-i18n="btn.back">← Indietro</button>
<h2 data-i18n="action.title">Cosa vuoi fare?</h2>
</div>
<!-- Banner: shopping list scan context -->
@@ -356,7 +367,7 @@
<!-- ===== ADD TO INVENTORY FORM ===== -->
<section class="page" id="page-add">
<div class="page-header">
<button class="back-btn" onclick="showPage('action')" data-i18n="btn.back">← Indietro</button>
<button class="back-btn" onclick="goBack()" data-i18n="btn.back">← Indietro</button>
<h2 data-i18n="add.title">Aggiungi alla Dispensa</h2>
</div>
<div class="product-preview-small" id="add-product-preview"></div>
@@ -419,7 +430,7 @@
<!-- ===== USE FROM INVENTORY FORM ===== -->
<section class="page" id="page-use">
<div class="page-header">
<button class="back-btn" onclick="showPage('action')" data-i18n="btn.back">← Indietro</button>
<button class="back-btn" onclick="goBack()" data-i18n="btn.back">← Indietro</button>
<h2 data-i18n="use.title">Usa / Consuma</h2>
</div>
<div class="product-preview-small" id="use-product-preview"></div>
@@ -475,7 +486,7 @@
<!-- ===== MANUAL / EDIT PRODUCT FORM ===== -->
<section class="page" id="page-product-form">
<div class="page-header">
<button class="back-btn" onclick="showPage('scan')" data-i18n="btn.back">← Indietro</button>
<button class="back-btn" onclick="goBack()" data-i18n="btn.back">← Indietro</button>
<h2 id="product-form-title">Nuovo Prodotto</h2>
</div>
<form class="form" onsubmit="submitProduct(event)">
@@ -663,7 +674,7 @@
<!-- ===== ALL PRODUCTS PAGE ===== -->
<section class="page" id="page-products">
<div class="page-header">
<button class="back-btn" onclick="showPage('dashboard')" data-i18n="btn.back">← Indietro</button>
<button class="back-btn" onclick="goBack()" data-i18n="btn.back">← Indietro</button>
<h2 data-i18n="products.title">📦 Tutti i Prodotti</h2>
</div>
<div class="search-bar">
@@ -675,7 +686,7 @@
<!-- ===== RECIPE PAGE ===== -->
<section class="page" id="page-recipe">
<div class="page-header">
<button class="back-btn" onclick="showPage('dashboard')" data-i18n="btn.back">← Indietro</button>
<button class="back-btn" onclick="goBack()" data-i18n="btn.back">← Indietro</button>
<h2 data-i18n="recipes.title">🍳 Ricette</h2>
</div>
<div class="recipe-page-container">
@@ -689,7 +700,7 @@
<!-- ===== SHOPPING LIST (BRING!) PAGE ===== -->
<section class="page" id="page-shopping">
<div class="page-header">
<button class="back-btn" onclick="showPage('dashboard')" data-i18n="btn.back">← Indietro</button>
<button class="back-btn" onclick="goBack()" data-i18n="btn.back">← Indietro</button>
<h2 data-i18n="shopping.title">🛒 Lista della Spesa</h2>
</div>
<div class="shopping-container">
@@ -797,7 +808,7 @@
<!-- ===== AI IDENTIFICATION PAGE ===== -->
<section class="page" id="page-ai">
<div class="page-header">
<button class="back-btn" onclick="stopScanner(); showPage('scan')" data-i18n="btn.back">← Indietro</button>
<button class="back-btn" onclick="goBack()" data-i18n="btn.back">← Indietro</button>
<h2 data-i18n="ai.title">🤖 Identificazione AI</h2>
</div>
<div class="ai-container">
@@ -835,7 +846,7 @@
<!-- ===== SETTINGS PAGE ===== -->
<section class="page" id="page-settings">
<div class="page-header">
<button class="back-btn" onclick="showPage('dashboard')" data-i18n="btn.back">← Indietro</button>
<button class="back-btn" onclick="goBack()" data-i18n="btn.back">← Indietro</button>
<h2 data-i18n="settings.title">⚙️ Configurazione</h2>
</div>
<div class="settings-tabs">
@@ -1183,6 +1194,16 @@
<p class="settings-hint mt-2" data-i18n="settings.camera.devices_hint">Se hai più fotocamere, puoi selezionarne una specifica dall'elenco sopra dopo aver concesso i permessi.</p>
<button class="btn btn-small btn-secondary mt-2" onclick="loadCameraDevices()" data-i18n="settings.camera.detect_btn">🔄 Rileva fotocamere</button>
</div>
<div class="form-group" style="margin-top:14px">
<label class="toggle-row">
<span data-i18n="settings.camera.ai_fallback_label">Identificazione visiva AI (fallback 5s)</span>
<span class="toggle-switch">
<input type="checkbox" id="setting-barcode-ai-fallback">
<span class="toggle-slider"></span>
</span>
</label>
<p class="settings-hint mt-2" data-i18n="settings.camera.ai_fallback_hint">Se il codice a barre non viene letto entro 5 secondi, un fotogramma viene inviato automaticamente all'AI per identificare visivamente il prodotto. Richiede Gemini configurato.</p>
</div>
</div>
</div>
<!-- Security Tab -->
manifest.json
+1 -1
View File
@@ -2,7 +2,7 @@
"name": "EverShelf",
"short_name": "EverShelf",
"description": "Gestione completa della dispensa di casa con scansione barcode",
"version": "1.7.25",
"version": "1.7.35",
"start_url": "/evershelf/",
"display": "standalone",
"background_color": "#f0f4e8",
translations/de.json
+28 -2
View File
@@ -151,6 +151,12 @@
"banner_anomaly_untracked_detail": "Du hast <strong>{inv_qty} {unit}</strong> im Bestand, aber die gebuchten Abgänge übersteigen die Eingänge — der Anfangsbestand wurde wahrscheinlich nie als \"Eingang\" erfasst. Bitte korrigiere die Menge oder trage die fehlenden Eingänge nach.",
"banner_anomaly_ghost_title": "weniger Bestand als erwartet",
"banner_anomaly_ghost_detail": "Laut Buchungen solltest du {expected_qty} {unit} von {name} haben, aber der Bestand zeigt nur {inv_qty} {unit}. Hast du etwas ohne Buchung entnommen?",
"banner_dup_loss_title": "Prüfung Doppelabbuchung: {name}",
"banner_dup_loss_detail": "Mögliche doppelte Buchung in {location}: zwei schnelle Abgänge ({qty_pair}) in ~{seconds}s. Bitte prüfen und ggf. korrigieren.",
"banner_dup_loss_action_fix": "Menge korrigieren",
"banner_dup_loss_action_open": "Produktkarte öffnen",
"banner_dup_loss_action_done": "Bereits geprüft",
"banner_dup_loss_toast_done": "Prüfung als erledigt markiert",
"consumed": "Verbraucht: {n} ({pct}%)",
"wasted": "Weggeworfen: {n} ({pct}%)",
"more_opened": "und {n} weitere geöffnet...",
@@ -220,7 +226,24 @@
"status_partial": "Erkannt: {code} — prüfe...",
"status_invalid": "Ungültig: {code} — versuche erneut",
"status_confirmed": "Bestätigt!",
"status_parallel": "Kombinierter Scan aktiv..."
"status_parallel": "Kombinierter Scan aktiv...",
"status_ocr_searching": "Ich lese die Barcode-Ziffern...",
"status_ai_visual_searching": "Jetzt versuche ich, das Produkt zu erkennen...",
"method_ai_ocr": "Gemini OCR",
"method_ai_vision": "Gemini Vision",
"ai_fallback_searching": "KI identifiziert Produkt...",
"ai_fallback_found": "Produkt von KI erkannt",
"ai_fallback_not_found": "KI: Produkt nicht erkannt",
"ai_fallback_exhausted": "KI: Produkt nicht erkannt — Barcode erneut scannen",
"ai_overlay_msg": "Gemini Vision analysiert das Produkt...",
"ai_retry_btn": "Mit KI erneut versuchen",
"ai_match_title": "Produkt von KI erkannt",
"ai_match_subtitle": "Waehle ein vorhandenes Produkt oder fuege das erkannte hinzu.",
"ai_match_existing": "Mogliche Treffer in der Vorratskammer",
"ai_match_none": "Keine ahnlichen Produkte in der Vorratskammer gefunden.",
"ai_match_use_btn": "Dieses nutzen",
"ai_match_add_btn": "\"{name}\" hinzufugen",
"ai_detected_label": "KI erkannt"
},
"action": {
"title": "Was möchtest du tun?",
@@ -664,7 +687,9 @@
"back": "📱 Rückkamera (Standard)",
"front": "🤳 Frontkamera",
"devices_hint": "Bei mehreren Kameras kannst du nach Freigabe der Berechtigungen eine bestimmte aus der Liste oben wählen.",
"detect_btn": "🔄 Kameras erkennen"
"detect_btn": "🔄 Kameras erkennen",
"ai_fallback_label": "KI-Bilderkennung (5s Fallback)",
"ai_fallback_hint": "Wird kein Barcode innerhalb von 5 Sekunden gelesen, wird automatisch ein Bild an die KI zur visuellen Produktidentifizierung gesendet. Erfordert konfiguriertes Gemini."
},
"security": {
"title": "🔒 HTTPS-Zertifikat",
@@ -1063,6 +1088,7 @@
"ai_quota": "KI-Kontingent erschöpft. Bitte in ein paar Minuten erneut versuchen.",
"barcode_empty": "Barcode eingeben",
"barcode_format": "Barcode darf nur Zahlen enthalten (4-14 Ziffern)",
"barcode_checksum": "Ungültiger EAN-Prüfziffer — bitte die Barcode-Ziffern prüfen",
"min_chars": "Mindestens 2 Zeichen eingeben",
"not_in_inventory": "Produkt nicht im Bestand",
"appliance_exists": "Gerät bereits vorhanden",
translations/en.json
+28 -2
View File
@@ -151,6 +151,12 @@
"banner_anomaly_untracked_detail": "You have <strong>{inv_qty} {unit}</strong> in inventory, but recorded outflows exceed inflows — the initial stock was likely never added as an \"in\" transaction. You can correct the quantity or log the missing entries.",
"banner_anomaly_ghost_title": "you have less stock than expected",
"banner_anomaly_ghost_detail": "Based on recorded operations you should have {expected_qty} {unit} of {name}, but inventory shows only {inv_qty} {unit}. Did you take stock without recording it?",
"banner_dup_loss_title": "Double-consume check: {name}",
"banner_dup_loss_detail": "Possible duplicate entry in {location}: two close out events ({qty_pair}) in ~{seconds}s. Please verify and fix if needed.",
"banner_dup_loss_action_fix": "Fix quantity",
"banner_dup_loss_action_open": "Open product card",
"banner_dup_loss_action_done": "Already checked",
"banner_dup_loss_toast_done": "Check marked as reviewed",
"consumed": "Consumed: {n} ({pct}%)",
"wasted": "Wasted: {n} ({pct}%)",
"more_opened": "and {n} more opened...",
@@ -220,7 +226,24 @@
"status_partial": "Detected: {code} — verifying...",
"status_invalid": "Invalid: {code} — retrying",
"status_confirmed": "Confirmed!",
"status_parallel": "Using combined scan methods..."
"status_parallel": "Using combined scan methods...",
"status_ocr_searching": "Reading the barcode digits...",
"status_ai_visual_searching": "Now trying to recognize the product...",
"method_ai_ocr": "Gemini OCR",
"method_ai_vision": "Gemini Vision",
"ai_fallback_searching": "AI identifying product...",
"ai_fallback_found": "Product identified by AI",
"ai_fallback_not_found": "AI: product not recognized",
"ai_fallback_exhausted": "AI: product not recognized — try scanning the barcode",
"ai_overlay_msg": "Gemini Vision is analyzing the product...",
"ai_retry_btn": "Retry with AI",
"ai_match_title": "Product recognized by AI",
"ai_match_subtitle": "Choose an existing pantry item or add the detected one.",
"ai_match_existing": "Possible pantry matches",
"ai_match_none": "No similar pantry products found.",
"ai_match_use_btn": "Use this",
"ai_match_add_btn": "Add \"{name}\"",
"ai_detected_label": "AI detected"
},
"action": {
"title": "What do you want to do?",
@@ -664,7 +687,9 @@
"back": "📱 Rear (default)",
"front": "🤳 Front",
"devices_hint": "If you have multiple cameras, you can select a specific one from the list above after granting permissions.",
"detect_btn": "🔄 Detect cameras"
"detect_btn": "🔄 Detect cameras",
"ai_fallback_label": "AI visual identification (5s fallback)",
"ai_fallback_hint": "If no barcode is read within 5 seconds, a frame is automatically sent to AI to visually identify the product. Requires Gemini configured."
},
"security": {
"title": "🔒 HTTPS Certificate",
@@ -1063,6 +1088,7 @@
"ai_quota": "AI quota exhausted. Please try again in a few minutes.",
"barcode_empty": "Enter a barcode",
"barcode_format": "Barcode must contain only numbers (4-14 digits)",
"barcode_checksum": "Invalid EAN checksum — please check the barcode digits",
"min_chars": "Type at least 2 characters",
"not_in_inventory": "Product not in inventory",
"appliance_exists": "Appliance already exists",
translations/es.json
+28 -2
View File
@@ -149,6 +149,12 @@
"banner_anomaly_untracked_detail": "Tienes <strong>{inv_qty} {unit}</strong> en inventario, pero las salidas registradas superan las entradas — el stock inicial probablemente nunca se añadió como transacción «entrada». Puedes corregir la cantidad o registrar las entradas faltantes.",
"banner_anomaly_ghost_title": "tienes menos stock del esperado",
"banner_anomaly_ghost_detail": "Según las operaciones registradas deberías tener {expected_qty} {unit} de {name}, pero el inventario solo muestra {inv_qty} {unit}. ¿Tomaste stock sin registrarlo?",
"banner_dup_loss_title": "Control de doble salida: {name}",
"banner_dup_loss_detail": "Posible registro duplicado en {location}: dos salidas seguidas ({qty_pair}) en ~{seconds}s. Revisa y corrige si hace falta.",
"banner_dup_loss_action_fix": "Corregir cantidad",
"banner_dup_loss_action_open": "Abrir ficha del producto",
"banner_dup_loss_action_done": "Ya revisado",
"banner_dup_loss_toast_done": "Control marcado como revisado",
"consumed": "Consumido: {n} ({pct}%)",
"wasted": "Desperdiciado: {n} ({pct}%)",
"more_opened": "y {n} más abiertos...",
@@ -217,7 +223,24 @@
"status_partial": "Detectado: {code} — verificando...",
"status_invalid": "Inválido: {code} — reintentando",
"status_confirmed": "Confirmado!",
"status_parallel": "Escaneo combinado activo..."
"status_parallel": "Escaneo combinado activo...",
"status_ocr_searching": "Estoy leyendo los números del código de barras...",
"status_ai_visual_searching": "Ahora intento reconocer el producto...",
"method_ai_ocr": "Gemini OCR",
"method_ai_vision": "Gemini Vision",
"ai_fallback_searching": "Identificación de IA en curso...",
"ai_fallback_found": "Producto identificado por IA",
"ai_fallback_not_found": "IA: producto no reconocido",
"ai_fallback_exhausted": "IA: producto no reconocido — prueba a escanear el código",
"ai_overlay_msg": "Gemini Vision está analizando el producto...",
"ai_retry_btn": "Reintentar con IA",
"ai_match_title": "Producto reconocido por IA",
"ai_match_subtitle": "Elige un producto ya en despensa o agrega el detectado.",
"ai_match_existing": "Posibles coincidencias en despensa",
"ai_match_none": "No se encontraron productos similares en despensa.",
"ai_match_use_btn": "Usar este",
"ai_match_add_btn": "Agregar \"{name}\"",
"ai_detected_label": "IA detecto"
},
"action": {
"title": "¿Qué quieres hacer?",
@@ -658,7 +681,9 @@
"back": "📱 Trasera (por defecto)",
"front": "🤳 Frontal",
"devices_hint": "Si tienes varias cámaras, puedes seleccionar una específica de la lista de arriba tras conceder los permisos.",
"detect_btn": "🔄 Detectar cámaras"
"detect_btn": "🔄 Detectar cámaras",
"ai_fallback_label": "Identificación visual IA (repuesto 5s)",
"ai_fallback_hint": "Si no se lee ningún código de barras en 5 segundos, se envía automáticamente un fotograma a la IA para identificar el producto visualmente. Requiere Gemini configurado."
},
"security": {
"title": "🔒 Certificado HTTPS",
@@ -1014,6 +1039,7 @@
"ai_quota": "Cuota de IA agotada. Inténtalo de nuevo en unos minutos.",
"barcode_empty": "Introduce un código de barras",
"barcode_format": "El código de barras solo puede contener números (4-14 dígitos)",
"barcode_checksum": "Suma de comprobación EAN inválida — verifica los dígitos del código",
"min_chars": "Escribe al menos 2 caracteres",
"not_in_inventory": "Producto no en inventario",
"appliance_exists": "El electrodoméstico ya existe",
translations/fr.json
+28 -2
View File
@@ -149,6 +149,12 @@
"banner_anomaly_untracked_detail": "Vous avez <strong>{inv_qty} {unit}</strong> en inventaire, mais les sorties enregistrées dépassent les entrées — le stock initial n'a probablement jamais été ajouté comme transaction « entrée ». Vous pouvez corriger la quantité ou saisir les entrées manquantes.",
"banner_anomaly_ghost_title": "vous avez moins de stock que prévu",
"banner_anomaly_ghost_detail": "D'après les opérations enregistrées vous devriez avoir {expected_qty} {unit} de {name}, mais l'inventaire n'en montre que {inv_qty} {unit}. Avez-vous pris du stock sans l'enregistrer ?",
"banner_dup_loss_title": "Vérification double sortie : {name}",
"banner_dup_loss_detail": "Doublon possible dans {location} : deux sorties rapprochées ({qty_pair}) en ~{seconds}s. Vérifiez et corrigez si besoin.",
"banner_dup_loss_action_fix": "Corriger la quantité",
"banner_dup_loss_action_open": "Ouvrir la fiche produit",
"banner_dup_loss_action_done": "Déjà vérifié",
"banner_dup_loss_toast_done": "Contrôle marqué comme vérifié",
"consumed": "Consommé : {n} ({pct}%)",
"wasted": "Gaspillé : {n} ({pct}%)",
"more_opened": "et {n} autres ouverts...",
@@ -217,7 +223,24 @@
"status_partial": "Lu : {code} — vérification...",
"status_invalid": "Invalide : {code} — nouvel essai",
"status_confirmed": "Confirmé !",
"status_parallel": "Scan combiné actif..."
"status_parallel": "Scan combiné actif...",
"status_ocr_searching": "Je lis les chiffres du code-barres...",
"status_ai_visual_searching": "J'essaie maintenant de reconnaître le produit...",
"method_ai_ocr": "Gemini OCR",
"method_ai_vision": "Gemini Vision",
"ai_fallback_searching": "Identification IA en cours...",
"ai_fallback_found": "Produit identifié par l'IA",
"ai_fallback_not_found": "IA : produit non reconnu",
"ai_fallback_exhausted": "IA : produit non reconnu — réessayez avec le code-barres",
"ai_overlay_msg": "Gemini Vision analyse le produit...",
"ai_retry_btn": "Reessayer avec l'IA",
"ai_match_title": "Produit reconnu par l'IA",
"ai_match_subtitle": "Choisissez un produit deja en stock ou ajoutez celui detecte.",
"ai_match_existing": "Correspondances possibles dans le stock",
"ai_match_none": "Aucun produit similaire trouve dans le stock.",
"ai_match_use_btn": "Utiliser celui-ci",
"ai_match_add_btn": "Ajouter \"{name}\"",
"ai_detected_label": "IA a detecte"
},
"action": {
"title": "Que voulez-vous faire ?",
@@ -658,7 +681,9 @@
"back": "📱 Arrière (par défaut)",
"front": "🤳 Frontale",
"devices_hint": "Si vous avez plusieurs caméras, vous pouvez en sélectionner une dans la liste ci-dessus après avoir accordé les permissions.",
"detect_btn": "🔄 Détecter les caméras"
"detect_btn": "🔄 Détecter les caméras",
"ai_fallback_label": "Identification visuelle IA (repli 5s)",
"ai_fallback_hint": "Si aucun code-barres n'est lu en 5 secondes, une image est automatiquement envoyée à l'IA pour identifier visuellement le produit. Nécessite Gemini configuré."
},
"security": {
"title": "🔒 Certificat HTTPS",
@@ -1014,6 +1039,7 @@
"ai_quota": "Quota IA épuisé. Réessayez dans quelques minutes.",
"barcode_empty": "Entrez un code-barres",
"barcode_format": "Le code-barres ne doit contenir que des chiffres (4-14 chiffres)",
"barcode_checksum": "Somme de contrôle EAN invalide — vérifiez les chiffres du code-barres",
"min_chars": "Tapez au moins 2 caractères",
"not_in_inventory": "Produit absent de l'inventaire",
"appliance_exists": "L'appareil existe déjà",
translations/it.json
+28 -2
View File
@@ -151,6 +151,12 @@
"banner_anomaly_untracked_detail": "Hai <strong>{inv_qty} {unit}</strong> in inventario, ma le uscite registrate superano le entrate — le scorte iniziali probabilmente non sono mai state aggiunte come entrata. Puoi correggere la quantità o registrare le entrate mancanti.",
"banner_anomaly_ghost_title": "hai meno scorte del previsto",
"banner_anomaly_ghost_detail": "In base alle operazioni registrate dovresti avere {expected_qty} {unit} di {name}, ma l'inventario mostra solo {inv_qty} {unit}. Hai prelevato senza registrarlo?",
"banner_dup_loss_title": "Controllo doppio scarico: {name}",
"banner_dup_loss_detail": "Possibile doppia registrazione in {location}: due uscite ravvicinate ({qty_pair}) in ~{seconds}s. Verifica se va corretta.",
"banner_dup_loss_action_fix": "Correggi quantità",
"banner_dup_loss_action_open": "Apri scheda prodotto",
"banner_dup_loss_action_done": "Già verificato",
"banner_dup_loss_toast_done": "Controllo segnato come verificato",
"consumed": "Consumati: {n} ({pct}%)",
"wasted": "Buttati: {n} ({pct}%)",
"more_opened": "e altri {n} prodotti aperti...",
@@ -220,7 +226,24 @@
"status_partial": "Letto: {code} — verifico...",
"status_invalid": "Non valido: {code} — riprovo",
"status_confirmed": "Confermato!",
"status_parallel": "Doppia scansione attiva..."
"status_parallel": "Doppia scansione attiva...",
"status_ocr_searching": "Sto leggendo i numeri del codice a barre...",
"status_ai_visual_searching": "Ora provo a riconoscere il prodotto...",
"method_ai_ocr": "Gemini OCR",
"method_ai_vision": "Gemini Vision",
"ai_fallback_searching": "Identificazione AI in corso...",
"ai_fallback_found": "Prodotto identificato dall'AI",
"ai_fallback_not_found": "AI: prodotto non riconosciuto",
"ai_fallback_exhausted": "AI: prodotto non riconosciuto — riprova con il barcode",
"ai_overlay_msg": "Gemini Vision sta analizzando il prodotto...",
"ai_retry_btn": "Riprova con AI",
"ai_match_title": "Prodotto riconosciuto con AI",
"ai_match_subtitle": "Scegli se usare un prodotto gia presente oppure aggiungere quello rilevato.",
"ai_match_existing": "Possibili corrispondenze in dispensa",
"ai_match_none": "Nessun prodotto simile trovato in dispensa.",
"ai_match_use_btn": "Usa questo",
"ai_match_add_btn": "Aggiungi \"{name}\"",
"ai_detected_label": "AI ha trovato"
},
"action": {
"title": "Cosa vuoi fare?",
@@ -664,7 +687,9 @@
"back": "📱 Posteriore (default)",
"front": "🤳 Anteriore",
"devices_hint": "Se hai più fotocamere, puoi selezionarne una specifica dall'elenco sopra dopo aver concesso i permessi.",
"detect_btn": "🔄 Rileva fotocamere"
"detect_btn": "🔄 Rileva fotocamere",
"ai_fallback_label": "Identificazione visiva AI (fallback 5s)",
"ai_fallback_hint": "Se il codice a barre non viene letto entro 5 secondi, un fotogramma viene inviato automaticamente all'AI per identificare il prodotto visivamente. Richiede Gemini configurato."
},
"security": {
"title": "🔒 Certificato HTTPS",
@@ -1063,6 +1088,7 @@
"ai_quota": "Quota AI esaurita. Riprova tra qualche minuto.",
"barcode_empty": "Inserisci un codice a barre",
"barcode_format": "Il codice a barre deve contenere solo numeri (4-14 cifre)",
"barcode_checksum": "Checksum EAN non valido — verifica le cifre del codice",
"min_chars": "Scrivi almeno 2 caratteri",
"not_in_inventory": "Prodotto non nell'inventario",
"appliance_exists": "Elettrodomestico già presente",