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

Introduction

Hey there, fellow developer! Ready to dive into the world of HoneyBook API integration? You're in for a treat. HoneyBook's API is a powerful tool that'll let you tap into their client management features, and we're going to build something cool with it using Python. Let's get cracking!

Prerequisites

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

• A Python environment (3.7+ recommended)
• The requests library (pip install requests)
• Your HoneyBook API credentials (if you don't have them, go grab 'em from your HoneyBook account)

Authentication

First things first, let's get you authenticated:

import requests

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

Pro tip: Keep that API key safe! Consider using environment variables in a production setting.

Basic API Request Structure

HoneyBook's API is RESTful, so you'll be working with standard HTTP methods. Here's a quick example:

BASE_URL = 'https://api.honeybook.com/v1'

def make_request(endpoint, method='GET', data=None):
    url = f"{BASE_URL}/{endpoint}"
    response = requests.request(method, url, headers=HEADERS, json=data)
    response.raise_for_status()
    return response.json()

Implementing Core Functionalities

Let's implement some key features:

Retrieving Projects

def get_projects():
    return make_request('projects')

projects = get_projects()
print(f"You have {len(projects)} projects.")

Creating New Contacts

def create_contact(name, email):
    data = {'name': name, 'email': email}
    return make_request('contacts', method='POST', data=data)

new_contact = create_contact('Jane Doe', '[email protected]')
print(f"Created contact: {new_contact['name']}")

Handling API Responses

Always check for errors and handle them gracefully:

try:
    result = make_request('some_endpoint')
except requests.HTTPError as e:
    print(f"Oops! API request failed: {e}")

Pagination and Rate Limiting

HoneyBook uses cursor-based pagination. Here's how to handle it:

def get_all_projects():
    projects = []
    cursor = None
    while True:
        endpoint = 'projects' + (f'?cursor={cursor}' if cursor else '')
        response = make_request(endpoint)
        projects.extend(response['data'])
        cursor = response.get('next_cursor')
        if not cursor:
            break
    return projects

Remember to respect rate limits! Add delays if needed.

Best Practices

• Log errors for easier debugging
• Cache responses when appropriate to reduce API calls
• Never expose your API key in client-side code

Testing

Always test your integration! Here's a simple unit test example:

import unittest
from unittest.mock import patch

class TestHoneyBookAPI(unittest.TestCase):
    @patch('requests.request')
    def test_get_projects(self, mock_request):
        mock_request.return_value.json.return_value = {'data': [{'id': '1', 'name': 'Test Project'}]}
        projects = get_projects()
        self.assertEqual(len(projects), 1)
        self.assertEqual(projects[0]['name'], 'Test Project')

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

Example Use Case

Let's build a simple script that fetches all your projects and creates a new contact for each one:

def create_contacts_for_projects():
    projects = get_all_projects()
    for project in projects:
        contact_name = f"Contact for {project['name']}"
        contact_email = f"contact_{project['id']}@example.com"
        create_contact(contact_name, contact_email)
        print(f"Created contact for project: {project['name']}")

create_contacts_for_projects()

Conclusion

And there you have it! You've just built a HoneyBook API integration in Python. Pretty cool, right? Remember, this is just scratching the surface. There's so much more you can do with the HoneyBook API, so don't be afraid to explore and experiment.

Keep coding, stay curious, and have fun building awesome stuff!