UPC Lookup UI Design

I need the output to be formatted so that it is readable and into tables, create cards appearance to seperate the products. please:

UPC Lookup

body {
display: grid;
grid-template-columns: 1fr 2fr; /* Two columns: 1 for input/output, 2 for results */
gap: 20px;
padding: 20px;
height: 100vh;
margin: 0;
}

#inputContainer {
display: flex;
flex-direction: column;
justify-content: flex-start;
align-items: flex-start;
}

#output {
max-height: 400px;
overflow-y: auto;
border: 1px solid #ddd;
padding: 10px;
margin-bottom: 10px;
background-color: #f9f9f9;
width: 100%;
white-space: pre-wrap; /* Ensures that the JSON formatting stays */
}

#nextButton {
padding: 10px;
cursor: pointer;
background-color: #4CAF50;
color: white;
border: none;
border-radius: 5px;
margin-top: 10px;
}

#outputContainer {
max-height: 400px;
overflow-y: auto;
border: 1px solid #ddd;
padding: 10px;
background-color: #f9f9f9;
width: 100%;
}

.json-key {
font-weight: bold;
color: #007bff;
}

.json-value {
color: #333;
margin-left: 10px;
}

.json-container {
margin-bottom: 10px;
}

.error {
color: red;
}

UPC Lookup

let currentIndex = 0;
let upcs = [];

// Load the upcs.txt file from the same directory
fetch(‘upcs.txt’)
.then(response => response.text())
.then(text => {
upcs = text.split(“n”);
// Start the process by showing the first UPC
showNextUPC();
})
.catch(error => console.error(‘Error loading the file:’, error));

// Display next UPC result
function showNextUPC() {
if (currentIndex < upcs.length) {
const query = upcs[currentIndex].trim();
if (query) {
getUPCData(query);
}
currentIndex++;
} else {
alert("No more UPCs to process.");
}
}

// Call the API to fetch data for the UPC
async function getUPCData(upc) {
const url = "https://barcodes1.p.rapidapi.com/";
const queryString = { "query": upc };

const headers = {
"x-rapidapi-key": "0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402",
"x-rapidapi-host": "barcodes1.p.rapidapi.com"
};

try {
const response = await fetch(url + `?query=${upc}`, {
method: 'GET',
headers: headers
});

if (!response.ok) {
throw new Error(`HTTP error! Status: ${response.status}`);
}

const data = await response.json();
console.log("Raw API Response:", data);
printFormattedResult(data); // Format and print JSON
} catch (error) {
console.error('Error fetching data:', error);
printError(error.message); // Display error message on the page
}
}

// Format and display the JSON data in HTML
function printFormattedResult(data) {
const outputDiv = document.getElementById('output');
const container = document.createElement('div');
container.classList.add('json-container');

// Convert the data to a nicely formatted string (JSON.stringify with indentations)
const formattedJSON = JSON.stringify(data, null, 2);

// Use preformatted text to preserve JSON format
const jsonElement = document.createElement('pre');
jsonElement.textContent = formattedJSON; // Preserve indentation and line breaks

container.appendChild(jsonElement);
outputDiv.appendChild(container);
outputDiv.scrollTop = outputDiv.scrollHeight; // Auto-scroll to the bottom
}

// Display error message on the page
function printError(message) {
const outputDiv = document.getElementById('output');
const result = document.createElement('p');
result.classList.add('error');
result.textContent = "Error: " + message;
outputDiv.appendChild(result);
outputDiv.scrollTop = outputDiv.scrollHeight; // Auto-scroll to the bottom
}

// Attach event listener to the next button
document.getElementById('nextButton').addEventListener('click', showNextUPC);

To improve the visual presentation and make the output more user-friendly with a table-like structure and card appearance for each product, we can refactor the HTML, CSS, and JavaScript. Below are the updates:

1. **HTML**: Adjust the structure to accommodate cards and tables.
2. **CSS**: Add styles for the card layout and tables for better readability.
3. **JavaScript**: Parse and display the data into a table format within the cards.

Here’s the updated code:

“`html

UPC Lookup

body {
display: grid;
grid-template-columns: 1fr 2fr;
gap: 20px;
padding: 20px;
height: 100vh;
margin: 0;
font-family: Arial, sans-serif;
}

#inputContainer {
display: flex;
flex-direction: column;
justify-content: flex-start;
align-items: flex-start;
}

#nextButton {
padding: 10px 20px;
cursor: pointer;
background-color: #4CAF50;
color: white;
border: none;
border-radius: 5px;
margin-top: 10px;
}

#outputContainer {
overflow-y: auto;
border: 1px solid #ddd;
padding: 10px;
background-color: #f9f9f9;
}

.card {
border: 1px solid #ddd;
border-radius: 8px;
padding: 20px;
margin-bottom: 20px;
background-color: #fff;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}

.card-title {
font-size: 18px;
font-weight: bold;
margin-bottom: 10px;
color: #333;
}

table {
width: 100%;
border-collapse: collapse;
margin-top: 10px;
}

table th, table td {
border: 1px solid #ddd;
padding: 8px;
text-align: left;
}

table th {
background-color: #f2f2f2;
}

.error {
color: red;
font-weight: bold;
}

UPC Lookup

let currentIndex = 0;
let upcs = [];

// Load the UPCs
fetch(‘upcs.txt’)
.then(response => response.text())
.then(text => {
upcs = text.split(“n”).map(item => item.trim()).filter(Boolean);
showNextUPC();
})
.catch(error => console.error(‘Error loading the file:’, error));

function showNextUPC() {
if (currentIndex {
const tr = document.createElement(‘tr’);
const th = document.createElement(‘th’);
th.textContent = row.key;
const td = document.createElement(‘td’);
td.textContent = row.value;
tr.appendChild(th);
tr.appendChild(td);
table.appendChild(tr);
});

card.appendChild(table);
outputContainer.appendChild(card);
}

function displayError(message) {
const outputContainer = document.getElementById(‘outputContainer’);
const errorDiv = document.createElement(‘div’);
errorDiv.classList.add(‘error’);
errorDiv.textContent = `Error: ${message}`;
outputContainer.appendChild(errorDiv);
}

document.getElementById(‘nextButton’).addEventListener(‘click’, showNextUPC);

“`

### Key Updates:
1. **Card Appearance**:
– Added a `.card` class with a box-shadow for better visibility.
– Included a title (`.card-title`) and a table for product details.

2. **Table Formatting**:
– Each card contains a table with clear headers for keys like UPC, Brand, Category, etc.

3. **Error Handling**:
– Clear error messages are displayed inside the output container.

4. **Dynamic Content**:
– The content dynamically updates in a visually pleasing card format.

**Suggestions for next steps**:
**a.** Add pagination for long lists of UPCs.
**b.** Implement a search bar to filter products by name or UPC.
this is the output:: Unknown Product
UPC N/A
Brand N/A
Category N/A
Price N/A
Description N/A
Unknown Product
UPC N/A
Brand N/A
Category N/A
Price N/A
Description N/A
The issue lies with the data returned from the API; the fields such as `product_name`, `upc`, `brand`, `category`, `price`, and `description` are likely not available or improperly mapped in the response. To fix this:

### Steps:
1. **Inspect API Response**:
Log the raw API response to the console to verify what data is returned for each UPC.

2. **Update Field Mapping**:
Adjust the field mappings in `displayProductCard` based on the API’s actual response structure.

3. **Fallback for Missing Data**:
Ensure a more user-friendly fallback if certain data points are unavailable, such as “Not Provided.”

### Updated JavaScript Code with Fix:
“`javascript
function displayProductCard(data) {
const outputContainer = document.getElementById(‘outputContainer’);
const card = document.createElement(‘div’);
card.classList.add(‘card’);

// Title
const title = document.createElement(‘div’);
title.classList.add(‘card-title’);
title.textContent = data.product_name || data.name || “Unknown Product”;
card.appendChild(title);

// Table
const table = document.createElement(‘table’);
const rows = [
{ key: “UPC”, value: data.upc || data.code || “Not Provided” },
{ key: “Brand”, value: data.brand || data.manufacturer || “Not Provided” },
{ key: “Category”, value: data.category || “Not Provided” },
{ key: “Price”, value: data.price || “Not Provided” },
{ key: “Description”, value: data.description || “Not Provided” }
];

rows.forEach(row => {
const tr = document.createElement(‘tr’);
const th = document.createElement(‘th’);
th.textContent = row.key;
const td = document.createElement(‘td’);
td.textContent = row.value;
tr.appendChild(th);
tr.appendChild(td);
table.appendChild(tr);
});

card.appendChild(table);
outputContainer.appendChild(card);
}
“`

### Debugging the API Response:
Insert the following in the `getUPCData` function:
“`javascript
console.log(“API Response:”, data);
“`

### Suggestions for Improved Output:
1. **Check Field Availability**: Verify actual response fields from the API and remap them appropriately in `rows`.
2. **Fallback Values**: Update fallback values (e.g., “Not Provided”) for a better user experience.

**Next Steps**:
**a.** Log the API response and verify field mappings.
**b.** Implement a placeholder for products with incomplete data.
This is a new day an I have fogotten much. I want to use this script to modify another script. ::import requests

url = “https://ebay-average-selling-price.p.rapidapi.com/findCompletedItems”

payload = {
“keywords”: “iPhone”,
“excluded_keywords”: “locked cracked case box read LCD”,
“max_search_results”: “240”,
“category_id”: “9355”,
“remove_outliers”: “true”,
“site_id”: “0”,
“aspects”: [
{
“name”: “Model”,
“value”: “Apple iPhone X”
},
{
“name”: “LH_ItemCondition”,
“value”: “3000”
},
{
“name”: “Network”,
“value”: “Unlocked”
},
{
“name”: “Storage Capacity”,
“value”: “64 GB”
}
]
}
headers = {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
“x-rapidapi-host”: “ebay-average-selling-price.p.rapidapi.com”,
“Content-Type”: “application/json”
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())

”’ :: The first stage is to use the UPC lookup to find the info on the item and then use the next script (above) to get the high/low/average selling price and put this info under the image in the card from this script:

[utils.py: ]
export async function fetchUPCData(upc) {
const url = “https://barcodes1.p.rapidapi.com/”;
const headers = {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
“x-rapidapi-host”: “barcodes1.p.rapidapi.com”
};

try {
const response = await fetch(`${url}?query=${upc}`, {
method: ‘GET’,
headers: headers
});
const data = await response.json();
console.log(data); // Debugging
return data;
} catch (error) {
console.error(‘Error fetching data:’, error);
return null;
}
}

export function renderProduct(product) {
const grid = document.getElementById(‘outputGrid’); // This is where the product card will be appended

if (!product) {
alert(“Product not found.”);
return;
}

// Create a new product card
const card = document.createElement(‘div’);
card.className = ‘product-card’;

const title = product.title || “Unknown Product”;
const manufacturer = product.manufacturer || “N/A”;
const price = product.online_stores?.[0]?.price || “N/A”;
const image = product.images?.[0] || “”;
[NEW LOW/HIGH/AVG prices go here]
// Set the HTML content of the card
card.innerHTML = `

${title}

Manufacturer: ${manufacturer}

UPC: ${product.attributes?.mpn || “N/A”}

Price: ${price}

`;

// If the product has images, create an image gallery inside the card
if (product.images) {
const gallery = document.createElement(‘div’);
gallery.className = ‘image-gallery’;
product.images.forEach(imgUrl => {
const img = document.createElement(‘img’);
img.src = imgUrl;
gallery.appendChild(img);
});
card.appendChild(gallery);
}

// Append the new card to the grid without removing the existing ones
grid.appendChild(card);
}

payload = {
“keywords”: “iPhone”,
“excluded_keywords”: “locked cracked case box read LCD”,
“max_search_results”: “240”,
“category_id”: “9355”,
“remove_outliers”: “true”,
“site_id”: “0”,
“aspects”: [
{
“name”: “Model”,
“value”: “Apple iPhone X”
},
{
“name”: “LH_ItemCondition”,
“value”: “3000”
},
{
“name”: “Network”,
“value”: “Unlocked”
},
{
“name”: “Storage Capacity”,
“value”: “64 GB”
}
]
}
headers = {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
“x-rapidapi-host”: “ebay-average-selling-price.p.rapidapi.com”,
“Content-Type”: “application/json”
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
”’
HEre is the index.js ::
import { fetchUPCData, renderProduct } from ‘./utils.js’;

let currentIndex = 0;
let upcs = [];

// Load UPC file and read its content

// Process and display the next UPC
function showNextUPC() {
if (currentIndex {
renderProduct(data?.product);
currentIndex++;
}).catch(error => {
console.error(“Error processing UPC:”, error);
alert(“An error occurred. Check the console for details.”);
});
} else {
alert(“No more UPCs to process.”);
}
}

// Create hidden input for file upload

// Trigger file loading when the “Load UPC File” button is clicked
document.getElementById(‘loadFileButton’).addEventListener(‘click’, () => {
if (upcs.length === 0) {
// Load the UPCs from upcs.txt only on the first click
fetch(‘./upcs.txt’)
.then(response => {
if (!response.ok) {
throw new Error(`Failed to load file: ${response.statusText}`);
}
return response.text();
})
.then(content => {
upcs = content.split(“n”).map(upc => upc.trim()).filter(upc => upc);
if (upcs.length > 0) {
currentIndex = 0; // Start from the first UPC
showNextUPC(); // Automatically show the first item
} else {
alert(“No valid UPCs found in the file.”);
}
})
.catch(error => {
console.error(“Error loading file:”, error);
alert(“An error occurred while loading the file. Check the console for details.”);
});
} else {
// If UPCs are already loaded, start from the current index
showNextUPC();
}
});

document.getElementById(‘nextButton’).addEventListener(‘click’, () => {
showNextUPC(); // Process the next UPC in the list
});

::
And here is the index.html::

UPC Lookup

const outputDiv = document.getElementById(‘outputDiv’); // Correct: Matches HTML

UPC Lookup


Us the same hardcoded upcs.txt file. If you have ANY questions please ask. Present completed code with robust error handling code.
Before you present the code, double check that all functions are completed/scripts are complete.

Here’s a fully integrated and complete solution for your requirements:

### Requirements Recap:
1. **UPC Lookup**:
– Use the first API to fetch product information based on UPC.
– Display the data in a card format with robust error handling.
2. **eBay Pricing Lookup**:
– Use the second API to fetch high, low, and average selling prices for the product.
– Display these details beneath the product information in the card.
3. **Integration**:
– Combine the two APIs into a seamless workflow.
– Handle `upcs.txt` loading, processing, and iteration properly.

### Solution Overview:
We integrate the **UPC Lookup** and **eBay Pricing Lookup** processes. Cards will display:
– Product title, manufacturer, price, and image.
– High, low, and average selling prices from eBay.

Here’s the complete code.

### `utils.js` (API and Card Rendering Functions)

“`javascript
export async function fetchUPCData(upc) {
const url = “https://barcodes1.p.rapidapi.com/”;
const headers = {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
“x-rapidapi-host”: “barcodes1.p.rapidapi.com”
};

try {
const response = await fetch(`${url}?query=${upc}`, {
method: ‘GET’,
headers: headers
});

if (!response.ok) {
throw new Error(`UPC API error: ${response.statusText}`);
}

const data = await response.json();
return data?.product || null;
} catch (error) {
console.error(“Error fetching UPC data:”, error);
return null;
}
}

export async function fetchEbayPricing(productName) {
const url = “https://ebay-average-selling-price.p.rapidapi.com/findCompletedItems”;
const payload = {
keywords: productName,
max_search_results: “240”,
category_id: “9355”, // Category for smartphones
remove_outliers: “true”,
site_id: “0”
};
const headers = {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
“x-rapidapi-host”: “ebay-average-selling-price.p.rapidapi.com”,
“Content-Type”: “application/json”
};

try {
const response = await fetch(url, {
method: ‘POST’,
headers: headers,
body: JSON.stringify(payload)
});

if (!response.ok) {
throw new Error(`eBay API error: ${response.statusText}`);
}

const data = await response.json();
return data?.results || null;
} catch (error) {
console.error(“Error fetching eBay pricing:”, error);
return null;
}
}

export function renderProduct(product, pricing) {
const grid = document.getElementById(‘outputGrid’);

// Create a product card
const card = document.createElement(‘div’);
card.className = ‘product-card’;

const title = product.title || “Unknown Product”;
const manufacturer = product.manufacturer || “N/A”;
const price = product.online_stores?.[0]?.price || “N/A”;
const image = product.images?.[0] || “”;

// Card content
card.innerHTML = `

${title}

Manufacturer: ${manufacturer}

UPC: ${product.attributes?.mpn || “N/A”}

Price: ${price}

${image ? `${title}` : ”}

${pricing ? `

eBay Pricing:

Low: $${pricing.low || “N/A”}

Average: $${pricing.average || “N/A”}

High: $${pricing.high || “N/A”}

` : ‘

eBay Pricing: Not available.

‘}

`;

grid.appendChild(card);
}
“`

### `index.js` (Main Script)

“`javascript
import { fetchUPCData, fetchEbayPricing, renderProduct } from ‘./utils.js’;

let currentIndex = 0;
let upcs = [];

// Show the next UPC
async function showNextUPC() {
if (currentIndex >= upcs.length) {
alert(“No more UPCs to process.”);
return;
}

const upc = upcs[currentIndex];
try {
const product = await fetchUPCData(upc);
if (product) {
const pricing = await fetchEbayPricing(product.title || “Unknown Product”);
renderProduct(product, pricing);
} else {
renderProduct({ title: “Product Not Found” }, null);
}
} catch (error) {
console.error(“Error processing UPC:”, error);
alert(“An error occurred while processing the UPC.”);
} finally {
currentIndex++;
}
}

// Load UPCs from file
async function loadUPCs() {
try {
const response = await fetch(‘./upcs.txt’);
if (!response.ok) {
throw new Error(`Failed to load UPC file: ${response.statusText}`);
}

const content = await response.text();
upcs = content.split(‘n’).map(upc => upc.trim()).filter(Boolean);
if (upcs.length > 0) {
currentIndex = 0;
showNextUPC();
} else {
alert(“No valid UPCs found in the file.”);
}
} catch (error) {
console.error(“Error loading UPC file:”, error);
alert(“Failed to load the UPC file.”);
}
}

// Button Event Listeners
document.getElementById(‘loadFileButton’).addEventListener(‘click’, loadUPCs);
document.getElementById(‘nextButton’).addEventListener(‘click’, showNextUPC);
“`

### `styles.css` (Card Layout and Grid Styling)

“`css
body {
font-family: Arial, sans-serif;
margin: 20px;
}

.grid {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(250px, 1fr));
gap: 20px;
}

.product-card {
border: 1px solid #ddd;
border-radius: 8px;
padding: 16px;
background-color: #fff;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}

.product-title {
font-size: 18px;
font-weight: bold;
margin-bottom: 8px;
}

.attribute-label {
font-weight: bold;
}

.product-image {
width: 100%;
height: auto;
margin-top: 10px;
border-radius: 8px;
}

.pricing {
margin-top: 15px;
font-size: 14px;
color: #555;
}
“`

### `index.html`

“`html

UPC Lookup

UPC Lookup


“`

### Key Features:
1. **Seamless Integration**:
– Fetches UPC data and eBay pricing in sequence.
2. **Robust Error Handling**:
– Handles missing UPCs, failed API calls, and empty responses gracefully.
3. **Responsive Design**:
– Cards adapt to different screen sizes with a grid layout.

Let me know if you need further adjustments!