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

Aug 16, 20246 minute read

Introduction

Hey there, fellow developer! Ready to dive into the world of MemberSpace API integration? You're in for a treat. We'll be walking through the process of building a robust Python integration that'll have you managing members and subscriptions like a pro. Let's get cracking!

Prerequisites

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

  • Python 3.7+
  • Your favorite package manager (pip or poetry)
  • A MemberSpace API key (you've got this already, right?)

Setting up the environment

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

pip install requests python-dotenv

Now, create a .env file and pop in your API key:

MEMBERSPACE_API_KEY=your_api_key_here

Basic API Connection

Let's start with a basic API client:

import os import requests from dotenv import load_dotenv load_dotenv() class MemberSpaceAPI: BASE_URL = "https://api.memberspace.com/v1" def __init__(self): self.api_key = os.getenv("MEMBERSPACE_API_KEY") self.session = requests.Session() self.session.headers.update({"Authorization": f"Bearer {self.api_key}"}) def get(self, endpoint): return self.session.get(f"{self.BASE_URL}/{endpoint}") def post(self, endpoint, data): return self.session.post(f"{self.BASE_URL}/{endpoint}", json=data)

Implementing key API endpoints

Now that we've got our client, let's implement some key endpoints:

Retrieving member information

def get_member(self, member_id): return self.get(f"members/{member_id}") def list_members(self, params=None): return self.get("members", params=params)

Managing subscriptions

def get_subscription(self, subscription_id): return self.get(f"subscriptions/{subscription_id}") def create_subscription(self, member_id, plan_id): data = {"member_id": member_id, "plan_id": plan_id} return self.post("subscriptions", data)

Handling content access

def check_content_access(self, member_id, content_id): return self.get(f"members/{member_id}/content/{content_id}")

Error handling and rate limiting

Let's add some retry logic and respect those rate limits:

from time import sleep from requests.exceptions import RequestException def api_call_with_retry(self, method, *args, max_retries=3, **kwargs): for attempt in range(max_retries): try: response = method(*args, **kwargs) if response.status_code == 429: sleep(2 ** attempt) # Exponential backoff continue response.raise_for_status() return response except RequestException as e: if attempt == max_retries - 1: raise e sleep(2 ** attempt)

Data processing and storage

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

import sqlite3 def sync_members_to_db(self): conn = sqlite3.connect('members.db') cursor = conn.cursor() cursor.execute('''CREATE TABLE IF NOT EXISTS members (id TEXT PRIMARY KEY, email TEXT, name TEXT)''') members = self.list_members().json()['data'] for member in members: cursor.execute('''INSERT OR REPLACE INTO members (id, email, name) VALUES (?, ?, ?)''', (member['id'], member['email'], member['name'])) conn.commit() conn.close()

Building a simple use case

Let's put it all together with a simple script to sync member data:

api = MemberSpaceAPI() api.sync_members_to_db() print("Member data synced successfully!")

Testing and validation

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

import unittest from unittest.mock import patch class TestMemberSpaceAPI(unittest.TestCase): @patch('requests.Session.get') def test_get_member(self, mock_get): mock_get.return_value.json.return_value = {"id": "123", "name": "Test User"} api = MemberSpaceAPI() response = api.get_member("123") self.assertEqual(response.json()['name'], "Test User") if __name__ == '__main__': unittest.main()

Best practices and optimization

To take your integration to the next level:

  1. Implement caching for frequently accessed data.
  2. Use asynchronous requests with aiohttp for improved performance.
  3. Implement proper logging for easier debugging.

Conclusion

And there you have it! You've just built a solid MemberSpace API integration in Python. Remember, this is just the beginning - there's always room to expand and improve. Keep exploring the API docs and happy coding!

Resources

Now go forth and integrate with confidence! 🚀