@tomaspavlin/rohlik-mcp
Version:
MCP server for controlling Rohlik.cz grocery shopping website
184 lines (182 loc) • 10.3 kB
JavaScript
import { z } from "zod";
export function createFrequentItemsTool(createRohlikAPI) {
return {
name: "get_frequent_items",
definition: {
title: "Get Frequent Items",
description: "Analyze your order history to find the most frequently purchased items",
inputSchema: {
orders_to_analyze: z.number().min(1).max(20).default(5).describe("Number of recent orders to analyze (1-20, default: 5)"),
top_items: z.number().min(3).max(30).default(10).describe("Number of top items to return overall (3-30, default: 10)"),
top_per_category: z.number().min(1).max(20).default(10).describe("Number of top items to show per category (1-20, default: 10)"),
show_categories: z.boolean().default(true).describe("Whether to show per-category breakdown (default: true)")
}
},
handler: async (args) => {
const { orders_to_analyze = 5, top_items = 10, top_per_category = 10, show_categories = true } = args;
try {
const api = createRohlikAPI();
// Step 1: Get order history
const orderHistory = await api.getOrderHistory(orders_to_analyze);
if (!orderHistory || (Array.isArray(orderHistory) && orderHistory.length === 0)) {
return {
content: [
{
type: "text",
text: "No order history found. You need to have past orders to analyze frequent items."
}
]
};
}
const orders = Array.isArray(orderHistory) ? orderHistory : [orderHistory];
// Step 2: Get detailed information for each order
const productMap = new Map();
let processedOrders = 0;
let totalProducts = 0;
for (const order of orders) {
try {
const orderId = order.id || order.orderNumber;
if (!orderId)
continue;
const orderDetail = await api.getOrderDetail(String(orderId));
if (!orderDetail)
continue;
processedOrders++;
const products = orderDetail.products || orderDetail.items || [];
const orderDate = orderDetail.deliveredAt || orderDetail.createdAt;
for (const product of products) {
const productId = product.productId || product.id;
const productName = product.productName || product.name;
if (!productId || !productName)
continue;
totalProducts++;
const key = `${productId}`;
// Extract category (use level 1 - mid-level category for grouping)
const categories = product.categories || [];
const mainCategory = categories.find((cat) => cat.level === 1) || categories[0];
const categoryName = mainCategory?.name || 'Uncategorized';
const categoryId = mainCategory?.id || 0;
if (productMap.has(key)) {
const existing = productMap.get(key);
existing.frequency++;
existing.totalQuantity += (product.quantity || 1);
// Update average price
if (product.price) {
const currentAvg = existing.averagePrice || 0;
existing.averagePrice = (currentAvg * (existing.frequency - 1) + product.price) / existing.frequency;
}
// Update last order date if newer
if (orderDate && (!existing.lastOrderDate || orderDate > existing.lastOrderDate)) {
existing.lastOrderDate = orderDate;
}
}
else {
productMap.set(key, {
productId: String(productId),
productName,
brand: product.brand || '',
frequency: 1,
totalQuantity: product.quantity || 1,
lastOrderDate: orderDate,
averagePrice: product.price || 0,
category: categoryName,
categoryId: categoryId
});
}
}
}
catch (error) {
// Skip orders that fail to load
console.error(`Failed to process order: ${error}`);
}
}
// Step 3: Sort by frequency and get top items
const sortedProducts = Array.from(productMap.values())
.sort((a, b) => b.frequency - a.frequency)
.slice(0, top_items);
if (sortedProducts.length === 0) {
return {
content: [
{
type: "text",
text: `Analyzed ${processedOrders} orders but found no products. This might be due to API changes or data format issues.`
}
]
};
}
// Step 4: Group by category
const categoryMap = new Map();
for (const product of Array.from(productMap.values())) {
const catId = product.categoryId || 0;
const catName = product.category || 'Uncategorized';
if (!categoryMap.has(catId)) {
categoryMap.set(catId, {
categoryId: catId,
categoryName: catName,
products: []
});
}
categoryMap.get(catId).products.push(product);
}
// Sort products within each category
for (const category of categoryMap.values()) {
category.products.sort((a, b) => b.frequency - a.frequency);
}
// Step 5: Format output
const formatItem = (item, index, showCategory = false) => {
const brand = item.brand ? ` (${item.brand})` : '';
const avgPrice = item.averagePrice ? `${item.averagePrice.toFixed(2)} Kč` : 'N/A';
const lastOrder = item.lastOrderDate ? new Date(item.lastOrderDate).toLocaleDateString() : 'N/A';
const category = showCategory && item.category ? ` • ${item.category}` : '';
return `${index + 1}. ${item.productName}${brand}${category}
📊 ${item.frequency}× orders • ${item.totalQuantity} units • 💰 Avg: ${avgPrice} • 📅 Last: ${lastOrder}
🆔 ${item.productId}`;
};
// Build overall top items section
let output = `🛒 MOST FREQUENTLY PURCHASED ITEMS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📈 Analysis: ${processedOrders} orders • ${totalProducts} total items
🏆 TOP ${sortedProducts.length} OVERALL:
${sortedProducts.map((item, idx) => formatItem(item, idx, true)).join('\n\n')}`;
// Add category breakdown if requested
if (show_categories) {
// Sort categories by total frequency
const sortedCategories = Array.from(categoryMap.values())
.sort((a, b) => {
const aTotal = a.products.reduce((sum, p) => sum + p.frequency, 0);
const bTotal = b.products.reduce((sum, p) => sum + p.frequency, 0);
return bTotal - aTotal;
});
output += '\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n📂 TOP ITEMS BY CATEGORY:\n';
for (const category of sortedCategories) {
const topCategoryProducts = category.products.slice(0, top_per_category);
const totalCategoryFrequency = category.products.reduce((sum, p) => sum + p.frequency, 0);
output += `\n\n📦 ${category.categoryName.toUpperCase()} (${totalCategoryFrequency} total orders)\n${'─'.repeat(40)}\n`;
output += topCategoryProducts.map((item, idx) => formatItem(item, idx, false)).join('\n\n');
}
}
output += '\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n💡 Tip: Use product IDs with add_to_cart to quickly reorder your favorites!';
return {
content: [
{
type: "text",
text: output
}
]
};
}
catch (error) {
return {
content: [
{
type: "text",
text: error instanceof Error ? error.message : String(error)
}
],
isError: true
};
}
}
};
}
//# sourceMappingURL=frequent-items.js.map