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Large Language Models

Do not submit any code or prose written or modified by large language models or "artificial intelligence" such as GitHub Copilot or ChatGPT to this project. These tools produce code that looks plausible, which means that not only is it likely to contain bugs those bugs are likely to be difficult to notice on review. In addition, because these models were trained indiscriminately and non-consensually on open-source code with a variety of licenses, it's not obvious that we have the moral or legal right to redistribute code they generate.

How to develop

You need:

  • Git (obviously)
  • CPython 3.14+
  • Packages from pip-dev-requirements.txt
  • C and C++ compiler for some of the dependencies
  • Depending on the used version of CPython: Rust
  • Just
  • For formatting TypeScript and Markdown: dprint
  • For building JavaScript and CSS: Deno
    (just build)
  • For linting TypeScript: Node.js and pnpm
    (corepack enable or alias pnpm="corepack pnpm")

How to check

  • ./check.sh

How to run

  • python -Xdev -Xwarn_default_encoding -m an_website --redis-enabled=1 --ratelimits=0 --port=8080

(-Xdev enables development mode)

How to run (production)

Linux

You need:

  • CPython 3.14+
  • C and C++ compiler for some of the dependencies
  • Depending on the used version of CPython: Rust
  • Supervisord
  • Redis 6.2
  • redis-cell (for ratelimits)
  • Elasticsearch 8.19+
  • UwUFetch

How:

  • Create a virtual environment
  • Install an-website in the venv (pip install an-website)
  • create a config.ini and configure it
  • run it (an-website / python -m an_website) with Supervisord

FreeBSD

Should work similar to Linux.

macOS

Not supported, but should work.

Windows

Not supported, but maybe works.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for guerteltier from gravatar.com guerteltier Avatar for Joshix from gravatar.com Joshix

Credits

Author: Das Asoziale Netzwerk

License

GNU Affero General Public License v3 or later (AGPLv3+) (AGPL-3.0-or-later)

Requires

Python >=3.14

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

an_website-26.8.tar.gz (10.8 MB view details)

Uploaded Source

File details

Details for the file an_website-26.8.tar.gz.

File metadata

  • Download URL: an_website-26.8.tar.gz
  • Upload date:
  • Size: 10.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for an_website-26.8.tar.gz
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MD5 063575536fbe3ffd13b22dacfe10ad3d
BLAKE2b-256 35f8ac0312d8969011864002ee14f46b843d0548e205d8da58843911a1606065

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Release history Release notifications | RSS feed

This release

26.8 This release

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