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https://github.com/iris-hep/analysis-community-summary

Summary report on community interactions and contributions with IRIS-HEP Analysis Systems related tools
https://github.com/iris-hep/analysis-community-summary

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Summary report on community interactions and contributions with IRIS-HEP Analysis Systems related tools

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# IRIS-HEP Analysis Systems Community Summary

[Summary report][report_url] on community interactions and contributions with [IRIS-HEP Analysis Systems](https://iris-hep.org/as.html) related tools.

[![download](https://img.shields.io/badge/Download-CSV-blue.svg)](https://iris-hep.org/analysis-community-summary/summary.csv)

The report is autogenerated daily, so it should always be up to date.

[report_url]: https://iris-hep.org/analysis-community-summary/

[![GitHub Project](https://img.shields.io/badge/GitHub--blue?style=social&logo=GitHub)](https://github.com/iris-hep/analysis-community-summary)
[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/iris-hep/analysis-community-summary/main.svg)](https://results.pre-commit.ci/latest/github/iris-hep/analysis-community-summary/main)

## Run locally

First, create a Python virtual environment and install the dependencies in `requirements.txt`.

The code will require a [GitHub personal access token](https://docs.github.com/en/github/authenticating-to-github/keeping-your-account-and-data-secure/creating-a-personal-access-token) (PAT) to use, so you'll need to make one for this application.

Once you have one, you'll need to pass it in at the command line to `query.py`.
This is probably best done by setting an environment variable in a shell script and then passing it through

Example:
```bash
#!/bin/bash

API_TOKEN=''
python query.py "${API_TOKEN}"
```