Skip to main content

Extension for AWS X-Ray SDK which enables tracing of Celery tasks

Project description

celery-aws-xray-sdk-extension

PyPI version PyPI license

Celery signal handlers that integrate Celery task lifecycle with AWS X-Ray tracing.

There's a tiny example in the directory example.

Installation

You can install it easily with pip: pip install celery-aws-xray-sdk-extension. For latest version visit PyPI.

Setup

This guide doesn't cover setting up AWS X-Ray SDK for Python or AWS X-Ray daemon. It's expected that you've already got some experience with it. If you don't have any experience with AWS X-Ray, please visit Amazon documentation.

  1. You have to have Celery signals enabled.
  2. Connect Celery signals to signal handlers from celery_aws_xray_sdk_extension module in your Celery setup. Example code is below this list.
  3. You're good to go!

Connecting handlers to Celery signals

signals.after_task_publish.connect(xray_after_task_publish)
signals.before_task_publish.connect(xray_before_task_publish)
signals.task_failure.connect(xray_task_failure)
signals.task_postrun.connect(xray_task_postrun)
signals.task_prerun.connect(xray_task_prerun)

Development

Before making any changes, please prepare your environment (no global changes are made!) with make setup-dev. Feel free to check what the target does in the Makefile.

This repository uses Conventional Commits.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

celery-aws-xray-sdk-extension-0.1.2.tar.gz (3.7 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page