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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,
},
});
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-io3
Initialize the Highlight SDK.
Setup the SDK.
import highlight_io
# `instrument_logging=True` sets up logging instrumentation.
# if you do not want to send logs or are using `loguru`, pass `instrument_logging=False`
H = highlight_io.H(
"<YOUR_PROJECT_ID>",
instrument_logging=True,
service_name="my-app",
service_version="git-sha",
environment="production",
)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
# `instrument_logging=True` sets up logging instrumentation.
# if you do not want to send logs or are using `loguru`, pass `instrument_logging=False`
H = highlight_io.H(
"<YOUR_PROJECT_ID>",
instrument_logging=True,
service_name="my-app",
service_version="git-sha",
environment="production",
)
def main():
with H.trace(span_name="my_span"):
logging.info('hello, world!', {'favorite_number': 7})
return f"<h1>bad idea { 5/0 }</h1>"
if __name__ == "__main__":
main()5
Set up logging.
With the Python SDK, your logs are reported automatically from builtin logging methods. See the Python logging setup guide for more details.