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How to build Client invoicing tool with Lovable?

Learn how to build a client invoicing tool with Lovable. Our step-by-step guide covers design and development tips to boost your business efficiency.

Matt Graham, CEO of Rapid Developers

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How to build Client invoicing tool with Lovable?

 
Setting Up the Project Environment
 

  • Open your Lovable project editor. Since Lovable does not have a terminal, you will create and modify files directly from the web interface.
  • Create a new file called app.js. This will be the main file for your client invoicing tool.
  • Create another file called package.json in the root of your project. This file is used to list the dependencies (libraries) your project needs.

 
Adding Dependencies via Code
 

  • Open the package.json file and add the following JSON content. This will “install” the necessary dependencies when Lovable reads your project configuration.
  • Here we include express for backend routing, body-parser to parse incoming form data, and uuid to generate unique invoice IDs.
    
    {
      "name": "client-invoicing-tool",
      "version": "1.0.0",
      "description": "A tool to generate and send client invoices.",
      "main": "app.js",
      "dependencies": {
        "express": "^4.18.0",
        "body-parser": "^1.20.0",
        "uuid": "^8.3.2"
      }
    }
        
  • Lovable automatically reads this file and loads the dependencies. No terminal command is necessary.

 
Building the Invoice Generation Logic
 

  • Create a new file named invoice.js. This module will contain logic to generate invoice data.
  • In invoice.js, add the following code snippet. This code defines a function that creates an invoice object using a unique ID and accepts client and items data.
    
    const { v4: uuidv4 } = require('uuid');
    
    

    function createInvoice(clientName, items) {
    const invoice = {
    id: uuidv4(),
    clientName: clientName,
    items: items,
    createdAt: new Date(),
    total: calculateTotal(items)
    };
    return invoice;
    }

    function calculateTotal(items) {
    // Sum total cost from items. Each item is assumed to have a 'price' field.
    return items.reduce((sum, item) => sum + item.price, 0);
    }

    module.exports = { createInvoice };




  • Save the file. This module will be imported into your main application file (app.js) later.

 
Creating the Client Interface (HTML Form)
 

  • Create a new file named client.html in your project. This file will be the user interface for entering client details and invoice items.
  • Paste the following HTML code into client.html. It contains a simple form for client name and invoice item details.
    
    
    
    
      
      Client Invoicing Tool
    
    
      

    Generate Invoice



    <label for="items">Items (format: itemName:price, separate multiple with a semicolon):</label>
    <input type="text" id="items" name="items" required/><br/><br/>
    
    <button type="submit">Create Invoice</button>
    
  • This form sends a POST request to the /create-invoice endpoint.

 
Integrating Backend with Frontend
 

  • Open the app.js file that you created earlier.
  • Add the following code to set up an Express server, parse POST data, and handle routes to serve the form and process invoice creation.
    
    const express = require('express');
    const bodyParser = require('body-parser');
    const { createInvoice } = require('./invoice');
    
    

    const app = express();

    // Parse URL-encoded bodies (as sent by HTML forms)
    app.use(bodyParser.urlencoded({ extended: true }));

    // Serve the client HTML page at the root URL
    app.get('/', (req, res) => {
    // Read the client.html file and send its content
    // For simplicity, using sendFile; ensure the path is correct for your project structure.
    res.sendFile(__dirname + '/client.html');
    });

    // Handle POST request to create an invoice
    app.post('/create-invoice', (req, res) => {
    const clientName = req.body.clientName;
    // Parse items passed as a string and build an array of item objects
    const itemsInput = req.body.items; // expected format: "item1:10; item2:20"
    const items = itemsInput.split(';').map(itemStr => {
    const parts = itemStr.split(':');
    return {
    name: parts[0].trim(),
    price: parseFloat(parts[1].trim())
    };
    });

    const invoice = createInvoice(clientName, items);

    // For this example, simply return the invoice details as JSON.
    res.send(invoice);
    });

    // Start the server on Lovable's provided host and port
    const PORT = process.env.PORT || 3000;
    app.listen(PORT, () => {
    console.log(Server is running on port ${PORT});
    });




  • Save your changes to app.js. This file now links the user interface with the invoice generation logic.

 
Testing Your Client Invoicing Tool
 

  • Click the Run button in Lovable’s interface. Lovable automatically starts your Express server using app.js.
  • Once the server is running, open the live URL provided by Lovable. It should display the client.html form.
  • Enter a client name and invoice items (example: "Consultation:100; Service Fee:50"), and then submit the form.
  • The app processes the input, creates an invoice using the logic defined in invoice.js, and returns the invoice details as a JSON response.
  • Check the JSON output to verify that a unique invoice ID and calculated total have been generated correctly.

 
Completing the Invoicing Tool
 

  • Review your project structure – you should have at least three files: app.js, invoice.js, and client.html.
  • Modify the tool as needed, adding new endpoints or enhancing the interface to include features such as invoice PDF generation, email sending, or client management.
  • Remember that any new dependencies added must be also added to package.json so that Lovable loads them automatically.

 
Using the Tool in Production
 

  • Once you are satisfied with the functionality, continue refining the interface and the backend logic.
  • Use Lovable’s sharing and collaboration features to deploy your client invoicing tool and allow others (or your clients) to access it via the generated live URL.

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How to Build a Client Invoicing Tool with Lovable Notifications and PDF Support


const express = require('express');
const bodyParser = require('body-parser');
const { generateInvoicePDF } = require('./invoiceUtils');
const { saveInvoice, getClientData } = require('./database');
const { sendLovableNotification } = require('./lovableApi');

const app = express();
app.use(bodyParser.json());

app.post('/api/invoices', async (req, res) => {
  try {
    const { clientId, items, dueDate } = req.body;
    if (!clientId || !Array.isArray(items) || !dueDate) {
      return res.status(400).json({ error: 'Missing required invoice data.' });
    }
    
    const clientData = await getClientData(clientId);
    if (!clientData) {
      return res.status(404).json({ error: 'Client not found.' });
    }
    
    // Data structuring and invoice preparation
    const invoiceData = {
      client: clientData,
      items: items.map(item => ({
        description: item.description,
        quantity: item.quantity,
        unitPrice: item.unitPrice,
        total: item.quantity \* item.unitPrice
      })),
      dueDate,
      createdAt: new Date()
    };
    
    // Save invoice to database
    const savedInvoice = await saveInvoice(invoiceData);
    
    // Generating a PDF version of the invoice
    const pdfBuffer = await generateInvoicePDF(savedInvoice);
    
    // Trigger a notification through Lovable API integration for invoicing events
    const notificationResult = await sendLovableNotification(clientData.email, savedInvoice.id);
    
    res.status(200).json({
      message: 'Invoice created successfully.',
      invoiceId: savedInvoice.id,
      notification: notificationResult.success,
      pdfBase64: pdfBuffer.toString('base64')
    });
  } catch (error) {
    console.error('Invoice Creation Error:', error);
    res.status(500).json({ error: 'Internal Server Error.' });
  }
});

app.listen(3000, () => console.log('Server running on port 3000'));

How to verify Lovable webhooks and update client invoices efficiently


'use strict';
const express = require('express');
const crypto = require('crypto');
const bodyParser = require('body-parser');
const { updateInvoiceStatus } = require('./invoiceService');

const app = express();
app.use(bodyParser.json({
  verify: (req, res, buf) => {
    req.rawBody = buf.toString();
  }
}));

const LOVABLE_API_SECRET = process.env.LOVABLE_API_SECRET || 'mysecret';

function verifyLovableSignature(req) {
  const signature = req.get('X-Lovable-Signature');
  if (!signature) return false;
  const hmac = crypto.createHmac('sha256', LOVABLE_API_SECRET);
  hmac.update(req.rawBody);
  const digest = hmac.digest('hex');
  return crypto.timingSafeEqual(Buffer.from(signature, 'hex'), Buffer.from(digest, 'hex'));
}

app.post('/api/webhooks/lovable', async (req, res) => {
  try {
    if (!verifyLovableSignature(req)) {
      return res.status(401).json({ error: 'Invalid signature.' });
    }
    const { invoiceId, newStatus } = req.body;
    if (!invoiceId || !newStatus) {
      return res.status(400).json({ error: 'Missing invoice data.' });
    }
    const result = await updateInvoiceStatus(invoiceId, newStatus);
    if (!result) {
      return res.status(404).json({ error: 'Invoice not found.' });
    }
    res.status(200).json({ message: 'Invoice updated successfully.' });
  } catch (error) {
    console.error('Webhook error:', error);
    res.status(500).json({ error: 'Internal server error.' });
  }
});

const PORT = process.env.PORT || 3000;
app.listen(PORT, () => console.log(`Webhook server listening on port ${PORT}`));

How to update invoice items and notify Lovable within your client invoicing tool


const express = require('express');
const bodyParser = require('body-parser');
const { getInvoiceById, updateInvoiceLineItems, recalculateTotals } = require('./invoiceManager');
const { triggerLovableUpdateEvent } = require('./lovableNotifier');

const app = express();
app.use(bodyParser.json());

app.put('/api/invoices/:invoiceId/items', async (req, res) => {
  try {
    const { invoiceId } = req.params;
    const { items } = req.body;
    if (!Array.isArray(items) || items.length === 0) {
      return res.status(400).json({ error: 'Items array is required and cannot be empty.' });
    }
    
    const invoice = await getInvoiceById(invoiceId);
    if (!invoice) {
      return res.status(404).json({ error: 'Invoice not found.' });
    }
    
    // Update the invoice with new items
    const updatedInvoice = await updateInvoiceLineItems(invoice, items);
    
    // Recalculate invoice totals, taxes, and discounts
    const recalculatedInvoice = await recalculateTotals(updatedInvoice);
    
    // Save the recalculated invoice (assuming recalculatedInvoice has a save method)
    await recalculatedInvoice.save();
    
    // Asynchronously notify Lovable that this invoice has been updated
    triggerLovableUpdateEvent(recalculatedInvoice.id).catch(err => {
      console.error('Lovable event trigger failed:', err);
    });
    
    res.status(200).json({ 
      message: 'Invoice items updated and totals recalculated successfully.',
      invoice: recalculatedInvoice 
    });
  } catch (error) {
    console.error('Error updating invoice items:', error);
    res.status(500).json({ error: 'Internal server error.' });
  }
});

const PORT = process.env.PORT || 4000;
app.listen(PORT, () => console.log(`Server is running on port ${PORT}`));

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Connect with our team to unlock the full potential of no-code solutions with a no-commitment consultation!

Book a Free Consultation
Matt Graham, CEO of Rapid Developers

Book a call with an Expert

Starting a new venture? Need to upgrade your web app? RapidDev builds application with your growth in mind.

Book a free No-Code consultation

Best Practices for Building a Client invoicing tool with AI Code Generators

 

Understanding the Client Invoicing Tool and AI Code Generators

 

  • This tool is designed to produce invoices for clients automatically by combining traditional invoicing methods with AI-generated code to automate repetitive tasks.
  • It is useful for those who want to reduce manual effort in generating invoices and customize the tool based on client needs using AI assistance.
  • The AI Code Generator helps to produce code snippets for common functionalities like data validation, format templates, invoice PDF creation, and integration with databases.

 

Identifying Your Requirements

 

  • Determine the key features of your invoicing tool such as client data management, invoice generation, payment tracking, and reporting.
  • List the functionalities that you want AI assistance with, for example:
    
        // Example: Generating PDF invoice templates
        generatePDF(clientDetails, invoiceData);
        
  • Gather information on the desired platforms (web-based, desktop, mobile) and integration points such as accounting software or email systems.

 

Planning the Project Structure

 

  • Decide on the overall architecture including the frontend (user interface) and backend (server logic, data storage).
  • Create a simple diagram or flowchart to map out how data flows from client input to invoice output.
  • Consider using AI Code Generators to produce boilerplate code for aspects such as form validation, UI components, and backend APIs.

 

Choosing the Right AI Code Generator Tools

 

  • Research available AI Code Generator platforms that suit your programming language or framework (for example, using GPT-based tools for generating Python, JavaScript, or PHP code).
  • Test out the AI tool with small code snippets to ensure it understands your requirements correctly.
  • Always review the AI-generated code manually to ensure it follows best practices and is secure.

 

Designing the User Interface for Invoicing

 

  • Create mockups of your invoicing tool’s interface, focusing on usability for non-tech persons.
  • Include easy-to-understand features such as buttons for creating new invoices, client search, and invoice preview.
  • If you require code for the UI, you can get AI suggestions. For example, a simple HTML form might be generated as:
    
        <form id="invoiceForm">
          <label for="clientName">Client Name:</label>
          <input type="text" id="clientName" name="clientName" />
          
    
      &lt;label for="invoiceAmount"&gt;Amount:&lt;/label&gt;
      &lt;input type="number" id="invoiceAmount" name="invoiceAmount" /&gt;
      
      &lt;button type="submit"&gt;Generate Invoice&lt;/button&gt;
    &lt;/form&gt;
    </code></pre>
    

 

Integrating AI Generated Code With Your Development Workflow

 

  • Create a clear integration plan for where AI can assist such as:
    • Generating backend APIs for storing client data.
    • Creating templates for invoice PDFs.
    • Producing code for error handling and validations.
  • When receiving AI-generated code, paste it in your development environment and test its functionality.
  • For example, an AI generated function to format invoice data might be:
    
        function formatInvoiceData(data) {
          // AI-suggested formatting rules
          let formatted = {
            clientName: data.clientName.trim(),
            amount: parseFloat(data.amount).toFixed(2),
            date: new Date(data.date).toLocaleDateString()
          };
          return formatted;
        }
        

 

Ensuring Code Quality and Security

 

  • Always review AI-generated code for security risks such as SQL injection and improper error handling.
  • Run your code through static analysis tools to identify potential vulnerabilities.
  • Ensure that proper testing is done by writing unit tests manually, even if placeholders are generated by AI. For instance:
    
    // Sample unit test in JavaScript using a testing framework
    describe('formatInvoiceData', function() {
      it('should format client name and amount correctly', function() {
        const input = { clientName: '  John Doe  ', amount: '1000', date: '2023-10-01' };
        const result = formatInvoiceData(input);
        assert.equal(result.clientName, 'John Doe');
        assert.equal(result.amount, '1000.00');
      });
    });
        

 

Implementing Version Control

 

  • Set up a version control system like Git to track changes in your project.
  • Create a remote repository on a platform such as GitHub or GitLab.
  • Commit both human-written and AI-generated code after thorough review to maintain project stability.
  • You can use the following command examples in your terminal:
    
        git init
        git add .
        git commit -m "Initial commit with project structure"
        

 

Testing the Complete Tool

 

  • Combine frontend and backend components in a testing environment before going live.
  • Perform individual tests on each feature — client data input, invoice generation, and report outputs — to ensure all parts function as expected.
  • Utilize both manual testing and automated tests to cover various user scenarios.
  • For example, an AI-suggested API test in Python using Flask might be:

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