debug-toolkit
typer
debug-toolkit | typer | |
---|---|---|
24 | 88 | |
56 | 14,398 | |
- | - | |
2.8 | 8.7 | |
about 2 months ago | 6 days ago | |
Python | Python | |
MIT License | MIT License |
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.
debug-toolkit
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Ask HN: Companies of one, what is your tech stack?
We're very much not a company of one anymore, but I used Unicorn Platform for our startups website (http://robusta.dev)
It's optimized for building a decent looking startup website in half an hour.
We now have an in house designer and frontend team so the whole thing will be replaced soon... But it got us fairly far.
- Ask HN: What podcasts are you listening to?
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GitHub: Private Profiles
I use it all the time when hiring!
We're open source (https://robusta.dev) and very involved in the kubernetes ecosystem so GitHub history is extremely relevant when we look at candidates.
We'll hire people with no GitHub activity too, but when it's available it's great
- Come home to it like this?? Hard reset doesnt do anything.
- KOPF for operators in python?
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"kubectl get sleep" t-shirts (free k8s give-away)
Github: https://github.com/robusta-dev/robusta Marketing site: http://robusta.dev/ Docs: https://docs.robusta.dev/master/
- GitHub - robusta-dev/debug-toolkit: A modern code-injection framework for Python. Like Pyrasite but Kubernetes-aware.
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Hikaru 0.9.0b released
We're using Hikaru extensively in Robusta. The best part (well, other then the ease of use) is that Tom is super responsive to issues on GitHub and always happy to help.
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My self-hosting infrastructure, fully automated
To everyone saying that Kubernetes is unnecessary, try implementing autoscaling, service discovery, secrets management, and autohealing in a vendor independent way without it.
Of course none of that is necessary for a self hosted home lab, but neither is gitops.
This is a very nice example of how to set stuff up properly.
OP, I would love to see Robusta (https://robusta.dev) as part of this too. It's definitely in line with your vision of automating everything, as it let's you automate the response to alerts and other events in your cluster. (Disclaimer: I'm one of the maintainers)
- Run script in the pod like a cron job.
typer
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Github Sponsor Sebastián RamÃrez Python programmer
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.
- Typer: Python library for building CLI applications
- Copilot for your GitHub stars
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Things I've learned about building CLI tools in Python
I have been using Typer on every one of my CLI projects which uses Click under the hood. The documentation is fantastic, the CLI app it produces looks great and lets you create things quickly. I high recommend it.
https://typer.tiangolo.com/
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Things to do with standalone script
Adding CLI capabilities. My preferred library here is typer.
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Where to start for managing a Python code base for public distribution
I just heard about this but it seems to be pretty much the type of thing you want and want fast.
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Help on Docstrings
Docstrings are for documenting how a function/ class/ method/ module works. Often you don't need to add a docstring to your main function because no one will be importing it to use elsewhere. And if you want it to run as a CLI, then there are better ways to document the available options. For example, typer does most of it for you, or in click you add the help text to the decorator.
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Which best practices do you follow to build robust & extensible ETL jobs?
Most computing tasks in airflow DAGs are KubernetesPodOperator containing a CLI (Python Typer). It allows us to pass arguments easily to run DAG manually if needed (the new UI to pass arguments to DAG in airflow 2.6 is really nice). Arguments allow us to replay DAG easily (change start / end dates for instance).
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Devs on teams that deploy anytime you want, what does your SDLC workflow look like?
So it's basically the main .gitlab-ci.yml file plus a separate Python CI app using Typer for the AWS instrumentation.
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The different uses of Python type hints
Similarly for Typer, which is literally "the FastAPI of CLIs"[1]. Handy to type your `main` parameters and have CLI argument parsing. For more complicated cases, it's a wrapper around Click.
[1] https://typer.tiangolo.com/
What are some alternatives?
robusta - Kubernetes observability and automation, with an awesome Prometheus integration
click - Python composable command line interface toolkit
batgrl - badass terminal graphics library
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
opentelemetry-python-contrib - OpenTelemetry instrumentation for Python modules
Gooey - Turn (almost) any Python command line program into a full GUI application with one line
hyperpaper-planner - Dayplanner pdf for large e-readers (eg Remarkable 2, Supernote, Boox)
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
PyFlow - Visual scripting framework for python - https://wonderworks-software.github.io/PyFlow
python-prompt-toolkit - Library for building powerful interactive command line applications in Python
profile
cement - Application Framework for Python