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The prototype analysis facility provides services for “low latency columnar analysis”, enabling rapid processing of data in a column-wise fashion. These services, based on Dask and Jupyter notebooks, aim to dramatically lower time for analysis and provide an easily-scalable and user-friendly computational environment that will simplify, facilitate, and accelerate the delivery of HEP results. The facility is built on top of a Kubernetes cluster and integrates dedicated resources with resources allocated via fairshare through the local HTCondor system. In addition to the user-facing interfaces such as Dask, the facility also manages access control through single-sign-on and authentication & authorization for data access. The notebooks in this repository and include simple HEP analysis examples, managed interactively in a Jupyter notebook and scheduled on Dask workers and accessing both public and protected data.

Latest:

Image	Description	Size	Pulls	Version
coffea-casa	Dask scheduler image for coffea-casa hub
coffea-casa-analysis	Dask worker image for coffea-casa hub

This repository uses GitHub Actions to build images, run tests, and push charts, python package to PyPI and images to DockerHub (Docker images, charts and python package tags are syncronised with Coffea-casa releases).

1. Tags pushed to GitHub trigger Docker image published with corresponding tags on Dockerhub:coffeateam/coffea-casa:x.x.x andcoffeateam/coffea-casa-analysis:x.x.x.Tags pushed to GitHub as well trigger Docker image published with corresponding tags on Openscience Harbor Registry:hub.opensciencegrid.org/coffea-casa:x.x.x andhub.opensciencegrid.org/coffea-casa-analysis:x.x.x.Thelatest tag in both cases also corresponds to the most recent GitHub tag.

2. Tags pushed to GitHub trigger Helm charts releases with corresponding Helm Chart tag and with charts published tohttps://coffeateam.github.io/coffea-casa.

3. Tags pushed to GitHub will pushcoffea_casa python package to PyPI (same as a tag).

A list of "must" steps to do before to tag:

1. Tag Docker imagescoffeateam/coffea-casa:x.x.x andcoffeateam/coffea-casa-analysis:x.x.x changing$TAG value inhttps://github.com/CoffeaTeam/coffea-casa/blob/master/docker/coffea-casa/Dockerfile andhttps://github.com/CoffeaTeam/coffea-casa/blob/master/docker/coffea-casa-analysis/Dockerfile

2. Tag Helm Chart's changing$appVersion value in Charts.yaml file in seehttps://github.com/CoffeaTeam/coffea-casa/blob/master/charts/coffea-casa/Chart.yaml

3. Add new tag:https://github.com/CoffeaTeam/coffea-casa/releases

Please note we are using for Coffea-casa Docker images, Helm charts and Pypi module.

• Coffea-casa: an analysis facility prototype, M. Adamec, G. Attebury, K. Bloom, B. Bockelman, C. Lundstedt, O. Shadura and J. Thiltges, arXiv (02 Mar 2021).
• PyHEP 2020 coffea-casa proceedings:
• The PyHEP 2020 introductory Youtube video ishere.

Interested? You can reach us in or in IRIS-HEP Slack channel.