Loguru

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

Initialize the Highlight SDK.

Setup the SDK with instrument_logging disabled, while passing the highlight logging handler to loguru. instrument_logging=False must be passed to make sure the loguru handler does not collide with built-in logging instrumentation.

import highlight_io

H = highlight_io.H("<YOUR_PROJECT_ID>", instrument_logging=False)

Use loguru!

Logs are reported automatically from loguru logging methods. Visit the highlight logs portal and check that backend logs are coming in.

import highlight_io
from loguru import logger

H = highlight_io.H(
	"<YOUR_PROJECT_ID>",
	instrument_logging=False,
	service_name="my-app",
	service_version="git-sha",
	environment="production",
)

logger.add(
	H.logging_handler,
	format="{message}",
	level="INFO",
	backtrace=True,
	serialize=True,
)

def main():
    logger.debug("That's it, beautiful and simple logging!", nice="one")
    context_logger = logger.bind(ip="192.168.0.1", user="someone")
	context_logger.info("Contextualize your logger easily")

Verify your backend logs are being recorded.

Visit the highlight logs portal and check that backend logs are coming in.

Logging in Python Python Logging Quick Start