Step by Step Guide to Building a Digistore24 API Integration in Python

Aug 15, 2024 • 6 minute read

Introduction

Hey there, fellow developer! Ready to dive into the world of Digistore24 API integration? You're in for a treat. This guide will walk you through creating a robust Python integration with Digistore24's API, allowing you to tap into a wealth of e-commerce data and functionality. Whether you're looking to automate sales reports or track affiliate performance, we've got you covered.

Prerequisites

Before we jump in, make sure you've got:

Python 3.7+
requests library
Your Digistore24 API credentials (if you don't have these yet, hop over to your Digistore24 account and grab them)

Setting Up the Environment

Let's get our workspace ready:

pip install requests

Now, let's set up our API credentials:

import os

os.environ['DIGISTORE24_API_KEY'] = 'your_api_key_here'
os.environ['DIGISTORE24_API_SECRET'] = 'your_api_secret_here'

Basic API Connection

Time to create our base API client:

import requests
import os

class Digistore24API:
    BASE_URL = 'https://www.digistore24.com/api/call/'

    def __init__(self):
        self.api_key = os.environ['DIGISTORE24_API_KEY']
        self.api_secret = os.environ['DIGISTORE24_API_SECRET']

    def make_request(self, endpoint, method='GET', params=None):
        url = f"{self.BASE_URL}{endpoint}"
        headers = {
            'X-DS-API-KEY': self.api_key,
            'X-DS-API-SECRET': self.api_secret
        }
        response = requests.request(method, url, headers=headers, params=params)
        response.raise_for_status()
        return response.json()

Implementing Core API Functionalities

Let's add some methods to our Digistore24API class:

def get_product(self, product_id):
    return self.make_request(f'products/{product_id}')

def get_order(self, order_id):
    return self.make_request(f'orders/{order_id}')

def get_affiliates(self):
    return self.make_request('affiliates')

Error Handling and Rate Limiting

Now, let's beef up our make_request method with some error handling and rate limiting:

import time
from requests.exceptions import RequestException

def make_request(self, endpoint, method='GET', params=None, max_retries=3):
    for attempt in range(max_retries):
        try:
            response = requests.request(method, f"{self.BASE_URL}{endpoint}", 
                                        headers=self.headers, params=params)
            response.raise_for_status()
            return response.json()
        except RequestException as e:
            if attempt == max_retries - 1:
                raise
            time.sleep(2 ** attempt)  # Exponential backoff

Data Processing and Storage

Here's a quick example of how you might process and store order data:

import sqlite3

def store_order(order_data):
    conn = sqlite3.connect('orders.db')
    c = conn.cursor()
    c.execute('''CREATE TABLE IF NOT EXISTS orders
                 (id INTEGER PRIMARY KEY, customer_name TEXT, total REAL)''')
    c.execute("INSERT INTO orders VALUES (?, ?, ?)",
              (order_data['id'], order_data['customer_name'], order_data['total']))
    conn.commit()
    conn.close()

api = Digistore24API()
order = api.get_order('12345')
store_order(order)

Building Practical Use Cases

Let's create a simple sales report:

from datetime import datetime, timedelta

def generate_sales_report(days=30):
    api = Digistore24API()
    end_date = datetime.now()
    start_date = end_date - timedelta(days=days)
    
    params = {
        'start_date': start_date.strftime('%Y-%m-%d'),
        'end_date': end_date.strftime('%Y-%m-%d')
    }
    
    sales_data = api.make_request('sales', params=params)
    
    total_sales = sum(order['total'] for order in sales_data['orders'])
    print(f"Total sales in the last {days} days: ${total_sales:.2f}")

generate_sales_report()

Testing and Validation

Don't forget to test your code! Here's a simple unit test:

import unittest
from unittest.mock import patch
from your_module import Digistore24API

class TestDigistore24API(unittest.TestCase):
    @patch('your_module.requests.request')
    def test_get_product(self, mock_request):
        mock_request.return_value.json.return_value = {'id': '123', 'name': 'Test Product'}
        api = Digistore24API()
        product = api.get_product('123')
        self.assertEqual(product['name'], 'Test Product')

if __name__ == '__main__':
    unittest.main()

Optimization and Best Practices

To optimize your API usage, consider implementing caching:

from functools import lru_cache

class Digistore24API:
    # ... other methods ...

    @lru_cache(maxsize=100)
    def get_product(self, product_id):
        return self.make_request(f'products/{product_id}')

This will cache the results of the last 100 product requests, significantly reducing API calls for frequently accessed products.

Conclusion

And there you have it! You've just built a solid foundation for integrating with the Digistore24 API. Remember, this is just the beginning. There's a whole world of possibilities out there. Why not try implementing webhook support next, or diving into more advanced reporting features?

Keep exploring, keep coding, and most importantly, have fun with it!

Resources

Happy coding!