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

Introduction

Hey there, fellow developer! Ready to dive into the world of financial APIs? Today, we're going to build a slick integration with the Wave API using Python. Wave's API is a powerhouse for managing financial data, and we're about to harness that power. Let's get cracking!

Prerequisites

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

• Python 3.7+
• requests library
• Your Wave API credentials (if you don't have them, hop over to Wave's developer portal and grab 'em)

Setting Up the Environment

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

pip install requests

Now, let's keep those API credentials safe. Create a config.py file:

API_KEY = 'your_api_key_here'
API_BASE_URL = 'https://api.waveapps.com/v1'

Basic API Connection

Time to test the waters! Let's create a basic connection:

import requests
from config import API_KEY, API_BASE_URL

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

response = requests.get(f'{API_BASE_URL}/user/businesses', headers=headers)
print(response.json())

If you see your business data, you're golden!

Core Functionality Implementation

Now, let's build some real functionality. We'll create a WaveClient class:

class WaveClient:
    def __init__(self, api_key):
        self.api_key = api_key
        self.base_url = API_BASE_URL
        self.headers = {
            'Authorization': f'Bearer {self.api_key}',
            'Content-Type': 'application/json'
        }

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

    def create_invoice(self, customer_id, amount):
        data = {
            'customer_id': customer_id,
            'amount': amount
        }
        response = requests.post(f'{self.base_url}/invoices', headers=self.headers, json=data)
        return response.json()

    def get_transactions(self):
        response = requests.get(f'{self.base_url}/transactions', headers=self.headers)
        return response.json()

Error Handling and Rate Limiting

Let's add some robustness to our client:

import time

class WaveClient:
    # ... previous methods ...

    def _make_request(self, method, endpoint, data=None):
        url = f'{self.base_url}/{endpoint}'
        for attempt in range(3):
            try:
                response = requests.request(method, url, headers=self.headers, json=data)
                response.raise_for_status()
                return response.json()
            except requests.exceptions.RequestException as e:
                if attempt == 2:
                    raise
                time.sleep(1)

Data Processing and Storage

Now, let's process and store some data:

import json

def save_customers(customers):
    with open('customers.json', 'w') as f:
        json.dump(customers, f)

client = WaveClient(API_KEY)
customers = client.get_customers()
save_customers(customers)

Building a Simple CLI Interface

Let's wrap this up in a neat CLI:

import argparse

def main():
    parser = argparse.ArgumentParser(description='Wave API Client')
    parser.add_argument('action', choices=['customers', 'invoice', 'transactions'])
    args = parser.parse_args()

    client = WaveClient(API_KEY)

    if args.action == 'customers':
        print(json.dumps(client.get_customers(), indent=2))
    elif args.action == 'invoice':
        # You'd want to add more arguments for customer_id and amount
        print(json.dumps(client.create_invoice('customer_id', 100), indent=2))
    elif args.action == 'transactions':
        print(json.dumps(client.get_transactions(), indent=2))

if __name__ == '__main__':
    main()

Testing and Validation

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

import unittest
from unittest.mock import patch
from wave_client import WaveClient

class TestWaveClient(unittest.TestCase):
    @patch('requests.get')
    def test_get_customers(self, mock_get):
        mock_get.return_value.json.return_value = {'customers': []}
        client = WaveClient('fake_key')
        result = client.get_customers()
        self.assertEqual(result, {'customers': []})

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

Deployment Considerations

When deploying, remember:

• Keep your API key secure (use environment variables)
• Consider using a job queue for long-running tasks
• Monitor your API usage to stay within rate limits

Conclusion

And there you have it! You've just built a solid Wave API integration in Python. From here, you can expand on this foundation to create more complex financial applications. Remember, the Wave API documentation is your friend for diving deeper into available endpoints and features.

Keep coding, keep learning, and most importantly, have fun building awesome stuff!