Notes:
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What problem does it solve?: Manages the invoicing process by automating the creation of invoices based on product/services and customer details.
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How can businesses benefit from customizing the code?: Businesses can automate invoice generation by integrating with their product or service management system, reducing human error.
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How can businesses adopt the solution further?: Extend the system by integrating payment gateways, providing real-time invoice tracking, or adding a feature to handle recurring payments.
Actual Python Code:
import pandas as pd
from datetime import datetime
class InvoiceGenerator:
def __init__(self, customer_name, product_details, invoice_date=None):
self.customer_name = customer_name
self.product_details = product_details
self.invoice_date = invoice_date if invoice_date else datetime.today().strftime('%Y-%m-%d')
def generate_invoice(self):
total_amount = sum([item['quantity'] * item['unit_price'] for item in self.product_details])
invoice = {
'Customer Name': self.customer_name,
'Invoice Date': self.invoice_date,
'Products': self.product_details,
'Total Amount': total_amount
}
return invoice
def display_invoice(self):
invoice = self.generate_invoice()
print("Invoice Summary:")
print(f"Customer: {invoice['Customer Name']}")
print(f"Invoice Date: {invoice['Invoice Date']}")
print("Products:")
for product in invoice['Products']:
print(f" {product['name']} x {product['quantity']} = ${product['quantity'] * product['unit_price']:.2f}")
print(f"Total Amount: ${invoice['Total Amount']:.2f}")
# Example usage
product_details = [{'name': 'Laptop', 'quantity': 2, 'unit_price': 500},
{'name': 'Mouse', 'quantity': 3, 'unit_price': 20}]
invoice = InvoiceGenerator("John Doe", product_details)
invoice.display_invoice()
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