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Python Libraries Tracing
Learn how to set up highlight.io tracing for common Python Libraries.
1
Supported Python libraries
highlight.io supports tracing for the following Python libraries:
# install and use your library in your code
pip install Boto Boto3SQS Celery Redis requests SQLAlchemy
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 for your respective framework.
Setup the SDK. Supported libraries will be instrumented automatically.
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
Setup a test.
Setup a endpoint or function with HTTP trigger that utilizes the library you are trying to test. For example, if you are testing the requests library, you can setup a function that makes a request to a public API.
import requests
# from a flask app
@app.route("/external")
def external():
r = requests.get(url="http://app.highlight.io/health_check")
logging.info(f"received {r.status_code} response")
return "<h1>External Request</h1>"
5
Verify your backend traces are being recorded.
Visit the highlight traces portal and check that backend traces are coming in.