Step by Step Guide to Building a Process Street API Integration in Python

Introduction

Hey there, fellow developer! Ready to supercharge your workflow automation? Let's dive into building a Process Street API integration using Python. This guide will walk you through the essentials, helping you leverage the power of Process Street in your applications. Buckle up!

Prerequisites

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

• A Python environment (3.6+ recommended)
• The requests library (pip install requests)
• A Process Street account and API key

Got all that? Great! Let's get coding.

Authentication

First things first, let's get you authenticated:

import requests

API_KEY = 'your_api_key_here'
BASE_URL = 'https://api.process.st/api/v1'

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

Pro tip: Keep that API key safe! Consider using environment variables for added security.

Basic API Requests

Let's start with some basic requests to get a feel for the API:

# GET request
response = requests.get(f'{BASE_URL}/workflows', headers=headers)
print(response.json())

# POST request
new_workflow = {'name': 'My Awesome Workflow'}
response = requests.post(f'{BASE_URL}/workflows', headers=headers, json=new_workflow)
print(response.json())

Remember to always check the response status and handle errors gracefully!

Working with Workflows

Now, let's get our hands dirty with some workflow operations:

# Get all workflows
workflows = requests.get(f'{BASE_URL}/workflows', headers=headers).json()

# Get a specific workflow
workflow_id = 'your_workflow_id'
workflow = requests.get(f'{BASE_URL}/workflows/{workflow_id}', headers=headers).json()

# Create a new workflow
new_workflow = {
    'name': 'New Python Workflow',
    'description': 'Created via API'
}
created_workflow = requests.post(f'{BASE_URL}/workflows', headers=headers, json=new_workflow).json()

Managing Checklist Runs

Time to put those workflows to work:

# Start a checklist run
run_data = {
    'workflowId': 'your_workflow_id',
    'name': 'API Generated Run'
}
new_run = requests.post(f'{BASE_URL}/checklist-runs', headers=headers, json=run_data).json()

# Update run status
run_id = new_run['id']
update_data = {'status': 'completed'}
updated_run = requests.patch(f'{BASE_URL}/checklist-runs/{run_id}', headers=headers, json=update_data).json()

Handling Tasks

Let's not forget about those all-important tasks:

# Get task info
task_id = 'your_task_id'
task = requests.get(f'{BASE_URL}/tasks/{task_id}', headers=headers).json()

# Update task status
update_data = {'status': 'completed'}
updated_task = requests.patch(f'{BASE_URL}/tasks/{task_id}', headers=headers, json=update_data).json()

# Add a comment
comment_data = {'body': 'Great job on this task!'}
new_comment = requests.post(f'{BASE_URL}/tasks/{task_id}/comments', headers=headers, json=comment_data).json()

Webhooks Integration

Want to stay in the loop? Set up some webhooks:

# Create a webhook
webhook_data = {
    'url': 'https://your-webhook-endpoint.com',
    'events': ['checklist.run.completed', 'task.completed']
}
new_webhook = requests.post(f'{BASE_URL}/webhooks', headers=headers, json=webhook_data).json()

# Don't forget to set up an endpoint to handle these events!

Best Practices

As you build out your integration, keep these tips in mind:

1. Respect rate limits to avoid getting your requests blocked.
2. Implement robust error handling and logging.
3. Use environment variables for sensitive data like API keys.
4. Consider implementing retries for failed requests.

Conclusion

And there you have it! You're now equipped to build powerful Process Street integrations with Python. Remember, this is just scratching the surface – there's so much more you can do with the API.

For more in-depth information and advanced features, check out the official Process Street API documentation.

Happy coding, and may your workflows be ever efficient!

Sample Code Repository

Want to see it all in action? Check out our GitHub repository for full code examples and additional resources.

Now go forth and automate all the things! 🚀