Exploring the New API Features and Best Practices
Hello everyone!
I've been diving deep into the recently released v2.0 of our API, and I'm absolutely thrilled with the new capabilities. The introduction of asynchronous endpoints and enhanced webhooks is a game-changer for real-time data synchronization. I wanted to start a discussion to share some insights, best practices I've discovered, and address common pitfalls.
Here are a few initial observations:
- Asynchronous Operations: The new `async_task` endpoint allows for long-running operations without blocking the main thread. This is crucial for background processing and improving user experience.
- Webhooks V2: The updated webhook system offers more granular control and payload customization. Make sure to properly secure your webhook endpoints using signature verification.
- Rate Limiting Improvements: The API now provides clearer `X-RateLimit-` headers, making it easier to manage your request volume.
I've put together a small example demonstrating how to leverage the asynchronous capabilities for a batch data import task. You can find it below:
import requests
import time
API_ENDPOINT = "https://api.devconnect.com/v2/async_task"
API_KEY = "YOUR_API_KEY" # Replace with your actual API key
headers = {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json"
}
data_to_process = [{"id": i, "value": f"data_{i}"} for i in range(1000)]
payload = {
"task_type": "batch_import",
"data": data_to_process,
"callback_url": "https://your-service.com/webhook"
}
print("Submitting asynchronous task...")
response = requests.post(API_ENDPOINT, json=payload, headers=headers)
response_json = response.json()
if response.status_code == 202: # Accepted
task_id = response_json.get("task_id")
print(f"Task submitted successfully. Task ID: {task_id}")
# Polling for status (in a real app, you might use webhooks)
status_endpoint = f"https://api.devconnect.com/v2/task_status/{task_id}"
print("Polling for task completion...")
while True:
time.sleep(10) # Wait for 10 seconds before checking again
status_response = requests.get(status_endpoint, headers={"Authorization": f"Bearer {API_KEY}"})
status_data = status_response.json()
status = status_data.get("status")
print(f"Current status: {status}")
if status in ["completed", "failed"]:
print(f"Task finished with status: {status}")
if status == "completed":
print(f"Result URL: {status_data.get('result_url')}")
break
else:
print(f"Error submitting task: {response.status_code} - {response.text}")
I'm eager to hear your experiences and any tips you have to share. Let's make the most of this powerful new API together!