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 to with the FastAPI integration.

from fastapi import FastAPI, Request

import highlight_io
from highlight_io.integrations.fastapi import FastAPIMiddleware

# `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",
)

app = FastAPI()
app.add_middleware(FastAPIMiddleware)

Verify your installation.

Check that your installation is valid by throwing an error. Add the following code to your FastAPI app and start the FastAPI server. Visit http://127.0.0.1:5000/hello in your browser. You should see a DivideByZero error in the Highlight errors page within a few moments.

from fastapi import FastAPI, Request

import highlight_io
from highlight_io.integrations.fastapi import FastAPIMiddleware

# `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",
)

app = FastAPI()
app.add_middleware(FastAPIMiddleware)


@app.get("/")
async def root(request: Request):
    return {"message": f"This might not be a great idea {5 / 0}"}

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.

Django Flask