16, Jun 2023

TRACK PAYMENT EVENTS WITH PYTHON LANGUAGE

Palzin Track Python Use Cases

Track payment events via Python

When building a product or service that requires your users to pay for something, there are many ways that things can go wrong, such as delayed payments, fraud, or other such issues.

Thus, it is crucial to track these events in real-time and alert you and your team in the event of a problem.

Palzin Track lets you track payment events such as User Subscription, User Purchase, User Cancellation, and User Redemption directly from your Python application.

Connect Palzin Track to Python


Setting up your account

  1. Create a free Palzin Track account.
  2. Create a new project on your dashboard.
  3. Copy your API token from the settings page.

Python code snippets

Using Python with http.client


import http.client  


import json  


conn = http.client.HTTPSConnection("palzin.live")  


payload = json.dumps({  


 "project": "my-project",  


 "channel": "payments",  


 "event": "Successful Payment",  


 "description": "[email protected] - ($19.99)",  


 "icon": "💸",  


 "notify": True  


})  


headers = {  


 'Content-Type': 'application/json',  


 'Authorization': 'Bearer YOUR_API_TOKEN'  


}  


conn.request("POST", "/api/v1/log", payload, headers)  


res = conn.getresponse()  


data = res.read()  


print(data.decode("utf-8"))

Using Python with Requests


import requests  


import json  


url = "https://api.palzin.live/v1/log"  


payload = json.dumps({  


 "project": "my-project",  


 "channel": "payments",  


 "event": "Successful Payment",  


 "description": "[email protected] - ($19.99)",  


 "icon": "💸",  


 "notify": True  


})  


headers = {  


 'Content-Type': 'application/json',  


 'Authorization': 'Bearer YOUR_API_TOKEN'  


}  


response = requests.request("POST", url, headers=headers, data=payload)  


print(response.text)

Python integration details

Connect Palzin Track to your Python code to easily track and keep a record of your product's payment events. With Palzin Track, you can create simple charts and journeys to help you better understand your product. Palzin Track also allows you to receive real-time push notifications on your desktop and mobile devices whenever a new payment event occurs.

Other use-cases for Palzin Track

  1. Monitor your CI/CD build status for your Python application
  2. Monitor your CPU usage in your Python application
  3. Monitor when database goes down in your Python application
  4. Monitor high disk usage in your Python application
  5. Monitor when a user changes their email address in your Python application
  6. Monitor failed logins in your Python application
  7. Monitor failed payments for your Python application
  8. Monitor memory usage in your Python application
  9. Monitor MySQL downtime in your Python application
  10. Monitor when a new feature is used in your Python application
  11. Monitor your Postgres downtime in your Python application
  12. Monitor Redis downtime in your Python application
  13. Monitor suspicious activity in your Python application
  14. Monitor when a user exceeds the usage limit for your Python service
  15. Monitor when a user is being rate limited in your Python application
  16. Get a notification when your Python code is done executing
  17. Send push notifications to your phone or desktop using Python
  18. Track canceled subscriptions in your Python application
  19. Track your Python cron jobs
  20. Track when a file is uploaded to your Python application
  21. Track when a form is submitted to your Python application
  22. Track user sign in events in Python
  23. Monitor user signup events via Python
  24. Track waitlist signup events via Python

Go Beyond the Metrics. Understand the Why.

Palzin Track reveals the human stories behind your data. Make user-centric decisions that drive growth.