Conservative Bring! cleanup + operations log
- cleanupObsoleteBringItems() now much more conservative: * Only removes items matching a known DB product (preserves manual additions) * Only removes if the product has current_qty > 0 (has stock) * AND item is no longer flagged by smart shopping - Added logOperation() — stores all Bring! operations in localStorage '_opLog' (bring_auto_add, bring_cleanup, bring_found, bring_manual_remove) Capped at 200 entries, each with timestamp + action + details - All Bring! add/remove paths now log their operations
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-14
@@ -4310,6 +4310,7 @@ async function confirmShoppingItemFound() {
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const idx = shoppingItems.findIndex(i => i.name.toLowerCase() === name.toLowerCase());
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if (idx >= 0) shoppingItems.splice(idx, 1);
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showToast(`✅ ${name} rimosso dalla lista!`, 'success');
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logOperation('bring_found', { name });
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loadShoppingCount();
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}
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} catch (e) { console.error('confirmShoppingItemFound', e); }
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@@ -4327,42 +4328,61 @@ async function autoAddCriticalItems() {
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const result = await api('bring_add', {}, 'POST', { items: itemsToAdd, listUUID: shoppingListUUID });
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if (result.success && result.added > 0) {
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showToast(`🔴 ${result.added} prodott${result.added === 1 ? 'o urgente aggiunto' : 'i urgenti aggiunti'} automaticamente a Bring!`, 'success');
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logOperation('bring_auto_add', { added: itemsToAdd.map(i => i.name) });
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loadShoppingList();
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}
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} catch (e) { /* ignore */ }
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}
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/**
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* One-time cleanup: remove items from Bring! that the new smart algorithm no longer considers relevant.
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* Compares current shoppingItems vs smartShoppingItems — if a Bring! item has NO match in
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* smart predictions (or matches a product with urgency 'none' that was filtered out), remove it.
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* One-time cleanup: remove items from Bring! that were auto-added but the algorithm no
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* longer considers relevant. CONSERVATIVE: only removes items that match a known product
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* in our inventory with current_qty > 0 AND that no longer appear in smart predictions.
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* Items not matching any DB product are left untouched (likely manually added by user).
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*/
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async function cleanupObsoleteBringItems() {
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if (sessionStorage.getItem('_bringCleanupDone')) return;
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sessionStorage.setItem('_bringCleanupDone', '1');
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if (!shoppingItems.length || !smartShoppingItems.length) return;
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// Build a set of names that the smart algorithm still considers relevant
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// Build set of smart-flagged names (these should stay)
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const smartNames = new Set(smartShoppingItems.map(i => i.name.toLowerCase()));
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// Find Bring! items that have NO match in smart predictions AND are not manually added
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// (We consider items "auto-added" if their name matches a known product in our DB)
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// Load all products from our DB to cross-reference
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let allProducts = [];
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try {
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const res = await api('products');
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allProducts = res.products || res.data || [];
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} catch (e) { return; }
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if (!allProducts.length) return;
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// Index our products by lowercase name
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const dbByName = {};
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for (const p of allProducts) {
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dbByName[p.name.toLowerCase()] = p;
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}
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const toRemove = [];
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for (const item of shoppingItems) {
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const nameLower = item.name.toLowerCase();
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// If smart shopping still flags this item, keep it
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// If smart shopping still flags it, keep it
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if (smartNames.has(nameLower)) continue;
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// Check with token matching too
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const smartMatch = _findSimilarItem(item.name, smartShoppingItems);
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if (smartMatch) continue;
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// This item is no longer predicted by smart shopping — candidate for removal
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if (_findSimilarItem(item.name, smartShoppingItems)) continue;
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// Must match a known DB product — otherwise it's likely a manual addition
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const dbProduct = dbByName[nameLower] || _findSimilarItem(item.name, allProducts);
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if (!dbProduct) continue;
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// Only remove if we have stock (qty > 0) — if qty == 0 user may still need it
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if ((dbProduct.quantity || 0) <= 0) continue;
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toRemove.push(item);
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}
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if (toRemove.length === 0) return;
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// Remove them from Bring!
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let removed = 0;
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const removedNames = [];
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for (const item of toRemove) {
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try {
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const r = await api('bring_remove', {}, 'POST', {
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@@ -4370,16 +4390,31 @@ async function cleanupObsoleteBringItems() {
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rawName: item.rawName || '',
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listUUID: shoppingListUUID
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});
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if (r.success) removed++;
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if (r.success) { removed++; removedNames.push(item.name); }
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} catch (e) { /* ignore individual failures */ }
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}
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if (removed > 0) {
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showToast(`🧹 ${removed} prodott${removed === 1 ? 'o non più necessario rimosso' : 'i non più necessari rimossi'} dalla lista`, 'info');
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showToast(`🧹 ${removed} prodott${removed === 1 ? 'o con scorte sufficienti rimosso' : 'i con scorte sufficienti rimossi'} dalla lista`, 'info');
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logOperation('bring_cleanup', { removed: removedNames });
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loadShoppingList();
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}
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}
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/**
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* Log an app operation (not a food transaction) for auditing/debugging.
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* Stored in localStorage under '_opLog', capped at 200 entries.
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*/
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function logOperation(action, details) {
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try {
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const log = JSON.parse(localStorage.getItem('_opLog') || '[]');
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log.push({ ts: new Date().toISOString(), action, details });
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// Keep last 200 entries
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if (log.length > 200) log.splice(0, log.length - 200);
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localStorage.setItem('_opLog', JSON.stringify(log));
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} catch (e) { /* ignore */ }
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}
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const DEFAULT_SPESA_AI_PROMPT = `Sei un assistente per la spesa online. Ti viene dato il nome di un prodotto che l'utente vuole comprare e una lista di prodotti trovati nel catalogo del supermercato.
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Regole di selezione:
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@@ -5092,6 +5127,7 @@ async function removeBringItem(idx) {
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shoppingItems.splice(idx, 1);
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renderShoppingItems();
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showToast('Rimosso dalla lista', 'success');
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logOperation('bring_manual_remove', { name: item.name });
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// Update dashboard shopping count
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loadShoppingCount();
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}
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+1
-1
@@ -997,6 +997,6 @@
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</div>
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</div>
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<script src="assets/js/app.js?v=20260329e"></script>
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<script src="assets/js/app.js?v=20260330a"></script>
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</body>
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</html>
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