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PyTorch bot
PyTorch bot is a GitHub app, build on top of probot framework.
Bot codebase is located in https://github.com/pytorch/test-infra/tree/main/torchci/lib/bot
If installed can be used to accomplish following:
One can communicate with bot, by issuing specially crafted commands, such as "merge", "revert", "rebase" and "drci". For more information on how those are used in PyTorch, see https://github.com/pytorch/pytorch/wiki/Bot-commands
Used to notify interested users when label is assigned to an issue or a pull requests.
Label to users mappings are defined in the special issue, whose number is specified via tracking_issue
property of pytorch-probot.yaml
config file. Mappings are defined in the issue body as series of * label @yourusername
lines
As name suggests, assign labels to a pull requests depending on what files were touched by it
Can be used to schedule additional workflows based on the ciflow/
prefixed labels assigned to the pull request. When label is added to the pull request, bot creates a ciflow/${name}/${pr_numer}
tag that points to a pull request head, and expects that repository contains a workflow that will be trigged upon tag creation.
For example, PyTorch periodic workflow defines its dispatch rules as follows:
on:
schedule:
- cron: 45 0,4,8,12,16,20 * * *
push:
tags:
- ciflow/periodic/*
workflow_dispatch:
As names of the rules are frequently changed, bot will not assign a tag unless it's listed in the pytorch-probot.yaml
via ciflow_push_tags
property.
Following script can be used to extract known labels from workflows and add them to the config file:
https://github.com/pytorch/pytorch/blob/master/.github/scripts/collect_ciflow_labels.py
To enable Dr. CI for the new repo, you need two things to be done:
- Contact the PyTorch DevX team to enable CI/CD workflow data to be sent to Rockset.
- Contact the PyTorch Release Engineering team to enable Dr. CI for the particular repository.