Star us on GitHub
Star
Menu
Docs / Getting Started / Backend: Error Monitoring / Python / Python App

Using highlight.io with Other Python Frameworks

Learn how to set up highlight.io in your Python app.
1
Setup your frontend Highlight snippet with tracingOrigins.

Make sure that you followed the fullstack mapping guide.

H.init("<YOUR_PROJECT_ID>", { tracingOrigins: ['localhost', 'example.myapp.com/backend'], networkRecording: { enabled: true, recordHeadersAndBody: true, }, });
Copy
2
Install the highlight-io python package.

Download the package from pypi and save it to your requirements. If you use a zip or s3 file upload to publish your function, you will want to make sure highlight-io is part of the build.

poetry add highlight-io # or with pip pip install highlight-io
Copy
3
Initialize the Highlight SDK.

Setup the SDK.

import highlight_io H = highlight_io.H("YOUR_PROJECT_ID", record_logs=True)
Copy
4
Verify your installation.

Check that your installation is valid by throwing an error. Try raising an exception somewhere in your code. You should see a DivideByZero error in the Highlight errors page within a few moments.

import logging import random import time import highlight_io H = highlight_io.H("YOUR_PROJECT_ID", record_logs=True) def main(): return f"<h1>bad idea { 5/0 }</h1>" if __name__ == "__main__": main()
Copy