fulcio VS Poetry

untrue.

The Root CA is generated by the sigstore community (five folks, two from academia) this is what is used for the trust root for the signing. Right now github exchanges a OIDC token for a sigstore root chained cert.

GitLab are currently adding themselves, to have the same capability.

https://github.com/sigstore/fulcio/pull/1097

They also say thay they integrate with Fulcio which seems to be a self-managing CA. Never tried it, though.

https://docs.sigstore.dev/ :

> sigstore empowers software developers to securely sign software artifacts such as release files, container images, binaries, bill of material manifests and more. Signing materials are then stored in a tamper-resistant public log.

> It’s free to use for all developers and software providers, with sigstore’s code and operational tooling being 100% open source, and everything maintained and developed by the sigstore community.

> How sigstore works: Using Fulcio, sigstore requests a certificate from our root Certificate Authority (CA). This checks you are who you say you are using OpenID Connect, which looks at your email address to prove you’re the author. Fulcio grants a time-stamped certificate, a way to say you’re signed in and that it’s you.

https://github.com/sigstore/fulcio

> You don’t have to do anything with keys yourself, and sigstore never obtains your private key. The public key that Cosign creates gets bound to your certificate, and the signing details get stored in sigstore’s trust root, the deeper layer of keys and trustees and what we use to check authenticity.

https://github.com/sigstore/cosign

> our certificate then comes back to sigstore, where sigstore exchanges keys, asserts your identity and signs everything off. The signature contains the hash itself, public key, signature content and the time stamp. This all gets uploaded to a Rekor transparency log, so anyone can check that what you’ve put out there went through all the checks needed to be authentic.

https://github.com/sigstore/rekor

fulcio is a root CA for code signing certs. Its job is to issue code-signing certificates and to embed OIDC identity into code-signing certificate. From this description we can see that it performs these tasks in steps 2, 3, 4 and 8.

Did you follow the link to the project list on Github? The actual tool for doing the signing, cosign, is just a binary you can install on your device and generate signatures and keys yourself. The "service" part of it seems to just be having your public certificate vouched for by a trusted code signing CA. I don't see anything in the tooling that requires your users to only trust that CA. If you want to sign your cert with your own CA and tell your users to trust that instead, they seemingly can do that, just as you can do that today in browsers. That you can't do it with Firefox extensions and mobile app stores is a limitation intentionally built into the distribution channel. It's not a limitation of PKI itself. iOS, Android, and Mozilla could have chosen to let users install arbitrary trusted CAs. You shouldn't dismiss all PKI based on the fact that a few vendors have chosen to implement it in a crappy way to make walled gardens.

It doesn't say this on the announcement, but looking at the actual PKI service (https://github.com/sigstore/fulcio), it seems to be entirely possible to self-host the service and roll your own CA.

You can manage dependencies in Python with the package manager pip, which comes pre-installed with Python. Pip allows you to install and uninstall Python packages, and it uses a requirements.txt file to keep track of which packages your project depends on. However, pip does not have robust dependency resolution features or isolate dependencies for different projects; this is where tools like pipenv and poetry come in. These tools create a virtual environment for each project, separating the project's dependencies from the system-wide Python environment and other projects.

Poetry provides packaging and dependency management for Python. If you haven't already, install poetry via pip:

Poetry

The Semantify repository provides an example Astro.js project. Ensure you have poetry installed, then build the project from the root of the repository:

Has anyone else been paying attention to how hilariously hard it is to package PyTorch in poetry?

https://github.com/python-poetry/poetry/issues/6409

Based on this comment 5 days ago[0], it's working? I'm not sure didn't dig in too far but based on that comment it seems fair to say that it's not fully Poetry's fault because torch removed hashes (which poetry needs to be effective) for a while only recently adding it back in.

Not sure where I would stand if I fully investigated it tho.

[0] https://github.com/python-poetry/poetry/issues/6409#issuecom...

We will be running this project in Python 3.10 on Mac/Linux, and we will use Poetry to manage our dependencies. Later, we will bundle our app into a container using docker for deployment.

Here are the two main packaging issues I run into, specifically when using Poetry:

1) Lack of support for building extension modules (as mentioned by the article). There is a workaround using an undocumented feature [0], which I've tried, but ultimately decided it was not the right approach. I still use Poetry, but build the extension as a separate step in CI, rather than kludging it into Poetry.

2) Lack of support for offline installs [1], e.g. being able to download the dependencies, copy them to another machine, and perform the install from the downloaded dependencies (similar to using "pip --no-index --find-links=."). Again, you can work around this (by using "poetry export --with-credentials" and "pip download" for fetching the dependencies, then firing up pypiserver [2] to run a local PyPI server on the offline machine), but ideally this would all be a first class feature of Poetry, similar to how it is in pip.

I don't have the capacity to create Pull Requests for addressing these issues with Poetry, and I'm very grateful for the maintainers and those who do contribute. Instead, on the linked issues I share my notes on the matter, in the hope that it may at least help others and potentially get us closer to a solution.

Regardless, I'm sticking with Poetry for now. Though to be fair, the only other Python packaging tools I've used extensively are Pipenv and pip/setuptools. It's time consuming to thoroughly try out these other packaging tools, and is generally lower priority than developing features/fixing bugs, so it's helpful to read about the author's experience with these other tools, such as PDM and Hatch.

[0] https://github.com/python-poetry/poetry/issues/2740

[1] https://github.com/python-poetry/poetry/issues/2184

[2] https://pypi.org/project/pypiserver/

We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.

I started using poetry. The problem is poetry will not install if there is dependency conflict and there is no way to ignore: github