rules_python
renovate
rules_python | renovate | |
---|---|---|
7 | 115 | |
495 | 15,794 | |
0.4% | 2.1% | |
9.5 | 10.0 | |
8 days ago | 4 days ago | |
Starlark | TypeScript | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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.
rules_python
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Things I've learned about building CLI tools in Python
What's SV?
I honestly don't know why anyone would use that... as in what does Bazel do better than virtually anything else that can provide this functionality. But, I used to be an ops engineer in a big company which wanted everything to be Maven, regardless of whether it does it well or not. So we built and deployed with Maven a lot of weird and unrelated stuff.
Not impossible, but not anything I'd advise anyone to do on their free time.
Specifically wrt' the link you posted, if you look here: https://github.com/bazelbuild/rules_python/blob/main/python/... it says that only pure Python wheels are supported, but that's also a lie, they don't support half of the functionality of pure Python wheels.
So, definitely not worth using, since lots of functionality is simply not there.
- Python coverage in Bazel has been broken for nearly 6 years
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Build faster with Buck2: Our open source build system
Regarding bazel, the rules_python has a py_wheel rule that helps you creating wheels that you can upload to pypi (https://github.com/bazelbuild/rules_python/blob/52e14b78307a...).
If you want to see an approach of bazel to pypi taken a bit to the extreme you can have a look at tensorflow on GitHub to see how they do it. They don't use the above-mentioned building rule because I think their build step is quite complicated (C/C++ stuff, Vida/ROCm support, python bindings, and multiOS support all in one before you can publish to pypi).
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Incremental Builds for Haskell with Bazel
Python support in Bazel now looks more promising with `rules_python`: https://github.com/bazelbuild/rules_python
`rules_go` to my understanding is great too.
Over years, Bazel is not as opinionated as before, mostly because adoptions in different orgs force it to be so.
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Advantages of Monorepos
I have personally run converted build systems to Bazel, and use it for personal projects as well.
Bazel 1.0 was released in October 2019. If you were using it "a few years ago", I'm guessing you were using a pre-1.0 version. There's not some cutoff where Bazel magically got easy to use, and I still wouldn't describe it as "easy", but the problem it solves is hard to solve well, and the community support for Bazel has gotten a lot better over the past years.
https://github.com/bazelbuild/rules_python
The difficulty and complexity of using Bazel is highly variable. I've seen some projects where using Bazel is just super simple and easy, and some projects where using Bazel required a massive effort (custom toolchains and the like).
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Experimentations on Bazel: Python & FastAPI (1)
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") #------------------------------------------------------------------------------ # Python #------------------------------------------------------------------------------ # enable python rules http_archive( name = "rules_python", url = "https://github.com/bazelbuild/rules_python/releases/download/0.2.0/rules_python-0.2.0.tar.gz", sha256 = "778197e26c5fbeb07ac2a2c5ae405b30f6cb7ad1f5510ea6fdac03bded96cc6f", )
renovate
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💡Automatic Deployment of your project dependencies updates on GCP : Efficiency vs. Cost?
This month, I gave a talk with my Zenika colleague Lise at the DevoxxFR conference about Renovate and Dependabot, two great tools to help you automatize and upgrade your dependencies.
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How use Renovate Bot on self-hosted GitLab
There is no built-in Renovate Bot on a self-hosted GitLab. What can we do to set it up and enjoy all the benefits of automatic dependency updates?
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Self-Hosted Is Awesome
> Yes, it is awesome until you have to sysadmin it, apply updates, patch it, fix security holes, etc. I am not saying all self-hosted solutions are like that. There are exceptions. However, the majority of open-source self-hosted solutions require a lot of extra work.
I'm currently self-hosting 10 different applications on my local server, which represents everything I've ever seen that looked fun or useful to me. Every one of them had a Docker image with an example compose file, which means updating them just requires periodically running Renovate [0] on the repo that stores all my compose files and then running a script that docker compose pulls the updates. It takes maybe 10 minutes every other week, and is actually kinda fun.
It helps that all the apps are only accessible from within my VPN, so I'm not too worried about fixing security updates within a tiny time window.
[0] https://github.com/renovatebot/renovate
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Why I recommend Renovate over any other dependency update tools
This is a big deal! Where did you read this? I found:
https://github.com/renovatebot/renovate/discussions/26917
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Locally test and validate your Renovate configuration files
Renovate is an automated dependency management tool that can be used to keep your dependencies up-to-date. It can be configured to automatically create pull requests to update your dependencies, and it supports a wide range of package managers and platforms.
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Understanding Mend Renovate's Pull Request Workflow
To get started with Mend Renovate, the comprehensive official documentation provides detailed instructions on installation, configuration, and best practices. Additionally, the Mend Renovate community forum offers a platform for users to connect, share experiences, and access the collective knowledge base.
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Unfork with ArgoCD
It is a good practice to keep software up to date. To track changes in upstream software, we can utilize automatic dependency tracking systems such as Dependabot or Renovate. This is a broad topic and requires a separate article to be covered. If you would like to read about it, please vote in the comments section below.
- 🦊 GitLab CI YAML Modifications: Tackling the Feedback Loop Problem
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Evaluating New Software Forges
So do other forges: I have Renovate [0] set up on my self-hosted Forgejo and it's worked great so far.
[0] https://github.com/renovatebot/renovate
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Long Term Ownership of an Event-Driven System
You can ease some of the burden for yourself though using tooling. If you are using GitHub, dependabot can be configured to make automatic PRs to your repo whenever there are dependencies to update. If you're not a GitHub user, you can use renovate which even supports self hosting.
What are some alternatives?
uwsgi-nginx-flask-docker - Docker image with uWSGI and Nginx for Flask applications in Python running in a single container.
dependabot-core - 🤖 Dependabot's core logic for creating update PR's.
pip-upgrade - Upgrade your pip packages with one line. A fast, reliable and easy tool for upgrading all of your packages while not breaking any dependencies
dependabot
black - The uncompromising Python code formatter
scala-steward - :robot: A bot that helps you keep your projects up-to-date
python-streams - A Library to support Writing concise functional code in python
updatecli - A Declarative Dependency Management tool
bazel-coverage-report-renderer - Haskell rules for Bazel.
github-actions-and-renovate
TypeRig - Proxy API and Font Development Toolkit for FontLab
bitbucket-branch-source-plugin - Bitbucket Branch Source Plugin