Skip to content

Instantly share code, notes, and snippets.

@bregenspan
bregenspan / diveTo.js
Last active December 17, 2020 02:17
Recursively dive() to deeply-wrapped components via Enzyme
import merge from 'lodash/merge';
/**
* Given an Enzyme ShallowWrapper and component identifier, dives() down until the
* specified component is the root component.
*
* @param { Enzyme.ShallowWrapper } shallowWrapper - wrapper to dive into
* @param { string } name of component to dive for (should match constructor name).
* @param { object= } options to pass to dive()
*/
@cablespaghetti
cablespaghetti / ecr-cred-updater.sh
Last active May 24, 2024 06:14
Automatic Updating Amazon ECR Credentials in Kubernetes
#!/bin/bash
# Get directory of script
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
if [[ $# -ne 1 ]]
then
echo "ERROR: This script expects the namespace name to be given as an argument"
echo "e.g. ./ecr-cred-updater.sh my-namespace"
exit 1
@fnky
fnky / ANSI.md
Last active November 1, 2025 02:22
ANSI Escape Codes

ANSI Escape Sequences

Standard escape codes are prefixed with Escape:

  • Ctrl-Key: ^[
  • Octal: \033
  • Unicode: \u001b
  • Hexadecimal: \x1B
  • Decimal: 27

With GitHub Actions, a workflow can publish artifacts, typically logs or binaries. As of early 2020, the life time of an artifact is hard-coded to 90 days (this may change in the future). After 90 days, an artifact is automatically deleted. But, in the meantime, artifacts for a repository may accumulate and generate mega-bytes or even giga-bytes of data files.

It is unclear if there is a size limit for the total accumulated size of artifacts for a public repository. But GitHub cannot reasonably let multi-giga-bytes of artifacts data accumulate without doing anything. So, if your workflows regularly produce large artifacts (such as "nightly build" procedures for instance), it is wise to cleanup and delete older artifacts without waiting for the 90 days limit.

Using the Web page for the "Actions" of a repository, it is possible to browse old workflow runs and manually delete artifacts. But the procedure is slow and tedious. It is fine to delete one selected artifact. It is not for a regular cleanup. We need