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

Introduction

Hey there, fellow developer! Ready to dive into the world of SamCart API integration? You're in for a treat. We'll be walking through the process of building a robust integration that'll have you pulling product data, managing orders, and handling customer information like a pro. Let's get cracking!

Prerequisites

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

• Python 3.7+
• requests library
• Your SamCart API credentials (keep 'em safe!)

Setting Up the Environment

First things first, let's get our environment ready:

pip install requests

Now, let's set up our API authentication:

import requests

API_KEY = 'your_api_key_here'
BASE_URL = 'https://api.samcart.com/v1'

headers = {
    'Authorization': f'Bearer {API_KEY}',
    'Content-Type': 'application/json'
}

Basic API Connection

Let's test the waters with a simple request:

response = requests.get(f'{BASE_URL}/products', headers=headers)
print(response.status_code)
print(response.json())

If you see a 200 status code and some JSON data, you're golden!

Implementing Key API Endpoints

Now for the fun part. Let's create some functions to interact with the main endpoints:

def get_products():
    return requests.get(f'{BASE_URL}/products', headers=headers).json()

def get_orders():
    return requests.get(f'{BASE_URL}/orders', headers=headers).json()

def get_customers():
    return requests.get(f'{BASE_URL}/customers', headers=headers).json()

def get_subscriptions():
    return requests.get(f'{BASE_URL}/subscriptions', headers=headers).json()

Error Handling and Rate Limiting

Let's add some error handling and respect those rate limits:

import time

def make_request(endpoint):
    response = requests.get(f'{BASE_URL}/{endpoint}', headers=headers)
    if response.status_code == 429:
        retry_after = int(response.headers.get('Retry-After', 5))
        time.sleep(retry_after)
        return make_request(endpoint)
    response.raise_for_status()
    return response.json()

Data Processing and Storage

Time to do something with that data:

import json

def save_data(data, filename):
    with open(filename, 'w') as f:
        json.dump(data, f)

products = make_request('products')
save_data(products, 'products.json')

Building Reusable Functions

Let's make our lives easier with some wrapper functions:

def get_paginated_data(endpoint, limit=100):
    all_data = []
    page = 1
    while True:
        data = make_request(f'{endpoint}?limit={limit}&page={page}')
        all_data.extend(data['data'])
        if not data['has_more']:
            break
        page += 1
    return all_data

Webhooks Integration

If you're using webhooks, here's a quick Flask endpoint to handle them:

from flask import Flask, request

app = Flask(__name__)

@app.route('/webhook', methods=['POST'])
def handle_webhook():
    data = request.json
    # Process webhook data
    return '', 200

Testing and Validation

Don't forget to test your integration:

import unittest

class TestSamCartAPI(unittest.TestCase):
    def test_get_products(self):
        products = get_products()
        self.assertIsInstance(products, list)
        self.assertTrue(len(products) > 0)

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

Best Practices and Optimization

Consider caching frequently accessed data:

import functools

@functools.lru_cache(maxsize=None)
def get_cached_products():
    return get_products()

Conclusion

And there you have it! You've just built a solid SamCart API integration in Python. Remember to keep your API key secure, handle errors gracefully, and respect those rate limits. Happy coding, and may your integration be ever smooth and your data always fresh!