20, Aug 2023

MONITOR FAILED PAYMENTS WITH PYTHON LANGUAGE

Palzin Track Python Use Cases

Monitor failed payments for your Python application

In today's modern digital landscape, many Python applications operate based on a subscription model, where users commit to regular monthly or annual payments for software access, known as Software as a Service (SaaS). These applications may offer fixed subscription plans or adopt a pay-as-you-go approach, where charges are contingent on users' actual usage of the Python software.

Irrespective of the chosen subscription model, Python application developers frequently encounter a common challenge: payment failures. These issues can result from various factors, including invalid credit card details, expired cards, or bank-issued transaction denials. In certain cases, users may utilize one-time credit cards designed for single payments, not recurring subscriptions.

Intentional or inadvertent, payment failures can disrupt both the Python application and its users. Users heavily reliant on the application may lose access when payments fail, potentially leading to subscription cancellations, commonly known as "churn." Additionally, for unintentional payment failures, users may remain unaware of the issue, hindering their application use until the problem is resolved.

Therefore, it is vital to implement robust tracking and monitoring of payment failures within your Python application. This ensures that users are promptly alerted to any payment issues, enabling them to rectify the situation before it evolves into a more significant problem.

Thankfully, Palzin Track provides an effective solution to tackle this challenge. Palzin Track is a versatile, real-time event tracking tool seamlessly compatible with any Python application. With Palzin Track, you gain the flexibility to establish event tracking for various aspects, including real-time monitoring of payment failures within your Python application. Furthermore, you can configure optional alert rules to notify you and your team when payment issues arise.

Palzin Track goes a step beyond by allowing you to monitor user journeys and create a comprehensive timeline of their actions, encompassing their payment history and other interactions within your application. This capability enables continuous tracking of individual user activities, including payment failures and other pertinent actions within your application.

Connect Palzin Track to Python


Setting up Palzin Track

  1. Sign up for a free Palzin Track account.
  2. Create your first project from the dashboard.
  3. Head to settings and copy your API token.

Python code snippets

Use the following code snippet to connect Palzin Track to your Python application. Please don't forget to replace the YOUR_API_TOKEN with your API token and update the project and channel names.

Using Python with http.client


import http.client  


import json  


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


payload = json.dumps({  


 "project": "my-project",  


 "channel": "billing",  


 "event": "Payment Failed",  


 "description": "A 19.99$ payment failed for [email protected]",  


 "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": "billing",  


 "event": "Payment Failed",  


 "description": "A 19.99$ payment failed for [email protected]",  


 "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

We strongly believe that event tracking should be simple and accessible to every developer and team. Hence, we have worked hard to create the next generation of event tracking tools.

Palzin Track provides powerful features such as cross-platform push notifications, event filtering, user and product journeys, charts, insights, and more. In addition, Palzin Track is flexible and easy to use, making it a great companion for your Python applications.

Palzin Track provides a generous free plan to get you started with event tracking. You can also check out our pricing page to see our paid plans. So don't hesitate to give us a try and let us know what you think!

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 memory usage in your Python application
  8. Monitor MySQL downtime in your Python application
  9. Monitor when a new feature is used in your Python application
  10. Monitor your Postgres downtime in your Python application
  11. Monitor Redis downtime in your Python application
  12. Monitor suspicious activity in your Python application
  13. Monitor when a user exceeds the usage limit for your Python service
  14. Monitor when a user is being rate limited in your Python application
  15. Get a notification when your Python code is done executing
  16. Send push notifications to your phone or desktop using Python
  17. Track canceled subscriptions in your Python application
  18. Track your Python cron jobs
  19. Track when a file is uploaded to your Python application
  20. Track when a form is submitted to your Python application
  21. Track payment events via Python
  22. Track user sign in events in Python
  23. Monitor user signup events via Python
  24. Track waitlist signup events via Python

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