Google Cloud Functions Functions

H.init("<YOUR_PROJECT_ID>", {
    tracingOrigins: ['localhost', 'example.myapp.com/backend'],
    networkRecording: {
      enabled: true,
      recordHeadersAndBody: true,
    },
  });

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

Initialize the Highlight SDK.

Setup the SDK. Add the @observe_handler decorator to your functions.

import logging
import random
from datetime import datetime

import functions_framework

import highlight_io
from highlight_io.integrations.gcp import observe_handler

H = highlight_io.H("1", record_logs=True)


@observe_handler
@functions_framework.http
def hello_http(request):
    return "Hello {}!".format(name)

Verify your installation.

Check that your installation is valid by throwing an error. Add an operation that raises an exception to your function. Setup an HTTP trigger and visit your function on the internet. You should see a DivideByZero error in the Highlight errors page within a few moments.

import logging
import random
from datetime import datetime

import functions_framework

import highlight_io
from highlight_io.integrations.gcp import observe_handler

H = highlight_io.H("1", record_logs=True)


@observe_handler
@functions_framework.http
def hello_http(request):
    return f"This might be a bad idea: {5/0}"

Verify your backend logs are being recorded.

With the Python SDK, your logs are reported automatically from the builtin logging methods (as long as record_logs=True is provided to the highlight_io.H constructor). Visit the highlight logs portal and check that backend logs are coming in.

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