gitlab-ci-local
pypyr automation task runner
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gitlab-ci-local | pypyr automation task runner | |
---|---|---|
10 | 6 | |
1,832 | 568 | |
- | 0.0% | |
9.1 | 5.9 | |
7 days ago | 4 months ago | |
TypeScript | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gitlab-ci-local
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🦊 GitLab CI YAML Modifications: Tackling the Feedback Loop Problem
Among these options, the one that has gained the most traction is gitlab-ci-local :
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🦊 GitLab CI: 10+ Best Practices to Avoid Widespread Anti-patterns
The main reason behind this change is to have consistent scripts for local testing and remote runners during testing and debugging. However, there are already tools available, such as gitlab-ci-local, that allow you to run jobs locally, partially invalidating this argument. Additionally, working locally may not provide access to all necessary variables.
- GitHub Actions could be so much better
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How do you debug CI/CD pipelines? Breakpoints?
Two tools I've used for local Gitlab CI runs: - https://github.com/firecow/gitlab-ci-local - https://gitlab.com/AdrianDC/gitlabci-local
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makefiles in stages
What you might want to look at is this, to meet both needs https://github.com/firecow/gitlab-ci-local
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Looking for a way to test CI pipeline (gitlab) locally
https://github.com/firecow/gitlab-ci-local exists but its not quite there yet. Personally Ive resorted to setting up a self-managed instance at home, relying on the included linter/validator and pushing repeatedly as before.
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Selfhosted Gitlab for CI only
If you already have/had a working pipeline then maybe https://github.com/firecow/gitlab-ci-local has something worth looking at.
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The End of CI
> One thing that would be nice, however, would be the ability to run the entire pipeline locally.
This cost me many hours of waiting for the Gitlab CI runner when debugging non-trivial pipelines, when the issue was something that did not have to do with the script steps inside of the jobs but rather how the Gitlab runner handled things.
I've found gitlab-ci-local [1] which actually does run the Gitlab pipeline locally, although I had to write some boilerplaye scripts to set up all the necessary 'CI_FOO_SOMETHING' environment variables before running the tool. (Which sometimes came back to bite me because the issue was actually in the content of some of those environment variables). It's still a very good tool.
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How to develop CI pipeline effectively?
Most CI/CD tools let you run pipelines locally. Just one example: https://circleci.com/blog/using-runner-for-local-testing/ . In my opinion Gitlab and Circleci have the test tools for this.
- firecow/gitlab-ci-local : Tired of pushing to test your .gitlab-ci.yml?
pypyr automation task runner
- Simple task runner for automation pipelines
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This Week in Python
pypyr – automation task runner
- Task-runner for automation pipelines defined in YAML – pypyr
- Just learned implementing decorators
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Comparison of Python TOML parser libraries
The pypyr automation pipeline task-runner open-source project recently added TOML parsing & writing functionality as a core feature. To this end, I researched the available free & open-source Python TOML parser libraries to figure out which option to use.
What are some alternatives?
dagger - Application Delivery as Code that Runs Anywhere
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
tekton-kickstarter - Templates, scripts and samples for quickly building CI/CD with Tekton.
psutil - Cross-platform lib for process and system monitoring in Python
act - Run your GitHub Actions locally 🚀
Fabric - Simple, Pythonic remote execution and deployment.
goonstation - Repository for the Goonstation branch of SS13
letsencrypt - Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.
iamlive - Generate an IAM policy from AWS, Azure, or Google Cloud (GCP) calls using client-side monitoring (CSM) or embedded proxy
SaltStack - Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt software package repository here:
action-tmate - Debug your GitHub Actions via SSH by using tmate to get access to the runner system itself.
honcho - Honcho: a python clone of Foreman. For managing Procfile-based applications.