Get Notified When Your Python Code is Done Executing

In a Python application, it’s essential to know when a particular code execution is completed, especially for long-running or critical processes. Getting real-time notifications when your Python code finishes executing allows you to stay informed about the status of your application and take any necessary actions immediately.

Saashound, a powerful real-time event tracking tool, offers seamless notification capabilities for your Python application. By integrating Saashound directly into your code, you can effortlessly receive notifications when specific code execution is completed.

Connecting Saashound to Your Python Application

To begin receiving notifications when your Python code is done executing using Saashound, follow these simple steps:

  1. Sign up for a free Saashound account to start tracking your application’s events.
  2. Create your first project from the user-friendly dashboard.
  3. Access the settings and securely copy your unique API token.

Python Integration

Integrating Saashound into your Python application is straightforward. Use the following code snippet to receive notifications when your code execution is completed. Remember to replace API_TOKEN with your actual Saashound API token and update the project name to match your project.

Using requests
import json
import requests
def log_event():
api_url = 'https://api.saashound.co/log-event'
payload = {
"project": "my-project",
"channel": "notifications",
"event": "Code Execution Completed",
"description": "Your code has finished executing successfully.",
"icon": "✅",
"notify": True # Replace with the appropriate value
}
headers = {
'Content-Type': 'application/json',
'Authorization': 'Bearer API_TOKEN' # Replace API_TOKEN with your actual API token
}
try:
response = requests.post(api_url, data=json.dumps(payload), headers=headers)
if 200 <= response.status_code < 300:
print('Log event sent successfully!')
else:
print('Failed to send log event. Response code:', response.status_code)
except requests.exceptions.RequestException as error:
print('Error sending log event:', error)
log_event()

With Saashound’s notification capabilities, you can:

  • Real-Time Notifications: Receive instant notifications when your Python code finishes executing, allowing you to stay updated in real-time.
  • Custom Alert Rules: Set up custom alert rules to receive notifications for specific code executions or events.
  • Event Tracking and Analytics: Track code execution events and analyze historical data to gain insights into application performance.

Saashound Benefits

Saashound is designed to be user-friendly and accessible to developers and teams of all sizes. Here are some key benefits of using Saashound for receiving notifications when your Python code is done executing:

  • Ease of Use: Saashound offers a no-code event tracking solution, making it simple for anyone to implement and use.
  • Flexibility: Saashound can track various application-related events, allowing you to customize notifications for different code executions.
  • Cross-Platform Support: Saashound’s cross-platform push notifications deliver alerts to your preferred devices, keeping you informed from anywhere.
  • Event Filtering: Customize which application-related events to track and receive notifications for, focusing on the most critical data.
  • Insights and Analytics: Utilize Saashound’s charts and analytics to gain valuable insights from your code execution data.

By leveraging Saashound’s notification capabilities, you can effectively monitor your Python application’s code execution status and respond promptly to important events.

Other use-cases for SaasHound

  1. Monitor API Authorization and Access Control in your Python Application
  2. Monitor API Response Times in your Python Application
  3. Monitor CPU and Memory Usage of External Services Accessed by your Python Application
  4. Monitor CPU Usage in your Python Application
  5. Monitor when a Database Goes Down in your Python Application
  6. Monitor Database Query Performance in your Python Application
  7. Monitor High Disk Usage in Your Python Application
  8. Monitor when a user changes their email address in your Python application
  9. Monitor failed logins in your Python application
  10. Monitor failed payments for your Python application
  11. Monitor memory usage in your Python application
  12. Monitor MySQL downtime in your Python application
  13. Monitor when a new feature is used in your Python application
  14. Monitor your Postgres downtime in your Python application
  15. Monitor Redis downtime in your Python application
  16. Monitor Server Health and Uptime in your Python Application
  17. Monitor suspicious activity in your Python application
  18. Monitor when a user is being rate limited in your Python application
  19. Monitor when a user exceeds the usage limit for your Python service
  20. Send push notifications to your phone or desktop using Python
  21. Track A/B Testing and Feature Rollouts in your Python Application
  22. Track canceled subscriptions in your Python application
  23. Track Cron Jobs in Python
  24. Track when a file is uploaded to your Python application
  25. Track when a form is submitted to your Python application
  26. Track your Python cron jobs
  27. Track payment events via Python
  28. Track User Engagement Metrics in your Python Application
  29. Track user sign in events in Python
  30. Track user signup events via Python
  31. Track waitlist signup events via Python