reactivated VS Poetry

Though it's not in the main branch, I've POC-ed a lot of it and use it in production on this branch. You can... sort of see the ideas behind it. https://github.com/silviogutierrez/reactivated/pull/207

https://www.reactivated.io/documentation/deploying/ https://github.com/silviogutierrez/reactivated/blob/main/development/scripts/deploy.sh https://github.com/silviogutierrez/reactivated/blob/main/development/Dockerfile

Theoretically, the Dockerfile should "just work"™ with Render.com as well. Right now I focus on fly.io only because their free tier offers PostgreSQL without time limits. Render, I believe, only does so for a period of time.

See here: https://github.com/silviogutierrez/reactivated/blob/main/dev...

https://github.com/silviogutierrez/reactivated/blob/main/dev...

https://github.com/silviogutierrez/reactivated/blob/main/dev...

Shameless plug: If you want seamless SSR with Django logic, but React templates, check out my project at https://www.reactivated.io .

It's like HTMX but uses React, and the JS bits are rendered on the server. You can then hydrate on the client.

The Reactivated docs site itself uses the project: https://github.com/silviogutierrez/reactivated/tree/main/web...

Here's one https://github.com/silviogutierrez/reactivated/blob/main/website/client/templates/HomePage.tsx

You can use any React library with Reactivated. Here's an example from the site, using react-markdown just like you would anywhere else: https://github.com/silviogutierrez/reactivated/blob/91d87e66c61c849895cabcc1ce07574111084c3a/reactivated.io/client/templates/Documentation.tsx

reactivated – Zero-configuration Django and React.

That's exactly what https://github.com/silviogutierrez/reactivated does. It's a work in progress and docs are coming.

But it's the best of both worlds: Django SSR using statically typed JSX.

See for example my blog or business sites (on profile). Both SSRed by Django using React templates.

Then when the client loads, it gracefully "attaches" for dynamic interactive behavior as needed.

By far the biggest pain point is having to run node and python on the server. So I'm working on the best way to do that.

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