bandcamp-downloader VS Poetry

Two projects I greatly appreciate, allowing me to easily archive my bandcamp and GOG purchases (after the initial setup anyways):

https://github.com/easlice/bandcamp-downloader

https://github.com/Kalanyr/gogrepoc

And I recently learned about archivebox, which I think is going to be a fast favorite and finally let me clear out my mess of tabs/bookmarks: https://github.com/ArchiveBox/ArchiveBox

Reminder to archive all purchases

https://github.com/easlice/bandcamp-downloader

I have a windows oriented “get past setup pain points” tutorial here: https://github.com/easlice/bandcamp-downloader/issues/21

For generating a cookie file, I suggest just using https://github.com/hrdl-github/cookies-txt

Make sure to archive your bandcamp collection, which you can do with the following script: https://github.com/easlice/bandcamp-downloader

I have a straightforward guide on how to get up and running on windows here: https://github.com/easlice/bandcamp-downloader/issues/21

You should always archive your collection anyways. One negative thing about bandcamp is that artists/labels/bandcamp can remove anything at anytime for any reason, so things you paid for can straight up disappear. This was very disappointing to discover. Note that sometimes things are set as hidden, rather than outright removed. This info may be outdated, as the relevant support page seems to gave changed from the last time I looked at it.

Because of their no DRM policy and full on downloads, not just streaming, Bandcamp has basically become the only place I’ll buy music outside of CDs.

I’m happy enough to hand artists money if it’s easy and I can archive a lossless copy, but if they start fucking around with things, I’ll go right back to doing what I was before. That said, if they fix the outright removal of paid things problem, and start treating “artist” as first class instead of “label” in searches and links, I’ll be singing their praises.

Bandcamp is what I use.

One thing to note, is that the artist/label retain full control of what music is present, and as such can be removed at any time, even ones you paid for. See: https://get.bandcamp.help/hc/en-us/articles/4406122372119-Wh...

I use https://github.com/easlice/bandcamp-downloader to immediately archive flac files to my NAS after a purchase, then convert to those to a lossy for space saving format for mobile playback/family sharing as desired with a playlist. This way I have my archive, and the artists I like get their support.

2) Download this code from the repo

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