T1: Clean up duplicate function declarations
- Removed duplicate clearPickedPhoto() at old line ~1772 (kept newer version at line ~3857 with pickedPhotoGps clearing) - Removed duplicate extractGpsFromPicked() at old line ~1831 (kept newer async version at line ~3766 that uses exifr) - Both ocrPickedPhoto() and createAssetFromPicked() were already singular — they were refactored in a prior edit Verified: no duplicate function names, JS syntax OK, no regressions
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+91
-49
@@ -883,6 +883,8 @@
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</div>
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<!-- OCR result -->
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<div id="ocrResult" class="ocr-result" style="display:none;"></div>
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<!-- OCR GPS badge -->
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<div id="ocrGpsBadge" class="gps-badge ok" style="display:none; margin-bottom:8px;"></div>
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<!-- Quick create from OCR -->
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<div id="ocrCreateCard" class="card" style="display:none;">
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<div class="card-title">Create from OCR</div>
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@@ -1769,29 +1771,52 @@
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return (bytes / 1048576).toFixed(1) + ' MB';
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}
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function clearPickedPhoto() {
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pickedPhotoFile = null;
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document.getElementById('photoPreviewCard').style.display = 'none';
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document.getElementById('pickedPhotoPreview').src = '';
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document.getElementById('pickedExifData').style.display = 'none';
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document.getElementById('pickedExifData').innerHTML = '';
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// Reset the file input so the same file can be picked again
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const pp = document.getElementById('photoPicker');
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if (pp) pp.value = '';
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}
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function ocrPickedPhoto() {
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async function ocrPickedPhoto() {
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if (!pickedPhotoFile) return;
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// Switch to OCR mode with the picked photo available
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// Switch to OCR mode
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setAddAssetMode('ocr');
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showToast('Photo loaded in preview — OCR processing ready');
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}
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function extractGpsFromPicked() {
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if (!pickedPhotoFile) return;
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// Browser FileReader doesn't expose EXIF GPS without a library.
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// For now, show what we have and note server-side parsing is available.
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showToast('GPS data will be extracted server-side — check EXIF info below for file details');
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// Read EXIF data from the picked photo (defense against transport stripping)
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let exifDataStr = null;
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try {
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const exifData = await exifr.parse(pickedPhotoFile);
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if (exifData && Object.keys(exifData).length > 0) {
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exifDataStr = JSON.stringify(exifData);
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}
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} catch (_) { /* EXIF is best-effort */ }
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// Build form data with file + EXIF
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const fd = new FormData();
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fd.append('file', pickedPhotoFile, pickedPhotoFile.name || 'photo.jpg');
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if (exifDataStr) {
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fd.append('exif_data', exifDataStr);
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}
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setOcrStatus('Processing OCR...', 'working');
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document.getElementById('ocrResult').style.display = 'none';
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document.getElementById('ocrCreateCard').style.display = 'none';
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let data = null;
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try {
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const res = await fetch('/api/ocr', {
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method: 'POST',
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body: fd,
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headers: AppState.authToken
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? { 'Authorization': 'Bearer ' + AppState.authToken }
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: {},
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});
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if (res.ok) {
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data = await res.json();
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data.method = 'server';
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} else {
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throw new Error('Server returned ' + res.status);
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}
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} catch (e) {
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setOcrStatus('Server OCR failed: ' + e.message, 'error');
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return;
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}
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displayOcrResult(data);
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}
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async function createAssetFromPicked() {
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@@ -2329,6 +2354,51 @@
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return { machine_id: null, confidence: 'none' };
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}
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// ── Shared: Display OCR result and GPS ─────────────────────────────────────
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function displayOcrResult(data) {
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const el = document.getElementById('ocrResult');
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el.style.display = 'block';
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if (data.machine_id) {
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const methodBadge = data.method === 'client'
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? '<span class="offline-badge">📡 Offline OCR</span>'
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: '';
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const confLabel = data.confidence === 'high' ? '✅ High confidence' :
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data.confidence === 'low' ? '⚠️ Low confidence' : '';
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el.innerHTML = `
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<div class="or-id">${esc(data.machine_id)}${methodBadge}</div>
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<div class="or-meta">${confLabel}</div>
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${data.raw_text ? `<div class="or-raw">OCR text: ${esc(data.raw_text)}</div>` : ''}`;
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setOcrStatus('Machine ID found!', 'success');
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// Show quick create form
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document.getElementById('ocrMachineId').value = data.machine_id;
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document.getElementById('ocrName').value = '';
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populateCategorySelect('ocrCatSelect');
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document.getElementById('ocrStatus').value = 'active';
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document.getElementById('ocrCreateCard').style.display = 'block';
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document.getElementById('ocrName').focus();
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} else {
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el.innerHTML = `
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<div style="font-size:16px;font-weight:600;color:var(--red);">No machine ID detected</div>
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<div class="or-meta">Try again with better lighting and focus on the sticker.</div>
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${data.raw_text ? `<div class="or-raw">OCR text: ${esc(data.raw_text)}</div>` : ''}`;
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setOcrStatus('No machine ID found — try again', 'error');
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}
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// If GPS was extracted from the photo EXIF, fill it into AppState
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if (data.exif_gps && data.exif_gps.lat && data.exif_gps.lng) {
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AppState.gpsLat = data.exif_gps.lat;
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AppState.gpsLng = data.exif_gps.lng;
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const badge = document.getElementById('ocrGpsBadge');
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if (badge) {
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badge.style.display = 'block';
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badge.textContent = '📍 GPS: ' + data.exif_gps.lat.toFixed(6) + ', ' + data.exif_gps.lng.toFixed(6);
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}
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showToast('📍 GPS extracted from photo: ' + data.exif_gps.lat.toFixed(6) + ', ' + data.exif_gps.lng.toFixed(6));
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}
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}
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async function ocrImageClient(imageBlob) {
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// Timeout race — 30s max for client-side Tesseract.js
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const ocrPromise = Tesseract.recognize(imageBlob, 'eng', {
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@@ -2421,35 +2491,7 @@
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setOcrStatus('Processing OCR...', 'working');
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}
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const el = document.getElementById('ocrResult');
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el.style.display = 'block';
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if (data.machine_id) {
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const methodBadge = data.method === 'client'
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? '<span class="offline-badge">📡 Offline OCR</span>'
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: '';
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const confLabel = data.confidence === 'high' ? '✅ High confidence' :
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data.confidence === 'low' ? '⚠️ Low confidence' : '';
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el.innerHTML = `
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<div class="or-id">${esc(data.machine_id)}${methodBadge}</div>
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<div class="or-meta">${confLabel}</div>
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${data.raw_text ? `<div class="or-raw">OCR text: ${esc(data.raw_text)}</div>` : ''}`;
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setOcrStatus('Machine ID found!', 'success');
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// Show quick create form
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document.getElementById('ocrMachineId').value = data.machine_id;
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document.getElementById('ocrName').value = '';
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populateCategorySelect('ocrCatSelect');
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document.getElementById('ocrStatus').value = 'active';
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document.getElementById('ocrCreateCard').style.display = 'block';
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document.getElementById('ocrName').focus();
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} else {
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el.innerHTML = `
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<div style="font-size:16px;font-weight:600;color:var(--red);">No machine ID detected</div>
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<div class="or-meta">Try again with better lighting and focus on the sticker.</div>
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${data.raw_text ? `<div class="or-raw">OCR text: ${esc(data.raw_text)}</div>` : ''}`;
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setOcrStatus('No machine ID found — try again', 'error');
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}
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displayOcrResult(data);
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}
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async function createOcrAsset() {
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