Martin Weinelt ae4a1a485a
treewide: add explicit format attribute for Python packages
If a Python package does not come with either `format` or `pyproject` we
consider it a setuptools build, that calls `setup.py` directly, which is
deprecated.

This change, as a first step, migrates a large chunk of these packages to
set setuptools as their explicit format

This is so we can unify the problem space for the next step of the
migration.
2025-07-02 05:56:47 +02:00

84 lines
2.2 KiB
Nix

{
python3Packages,
fetchurl,
anki,
}:
python3Packages.buildPythonApplication rec {
pname = "mnemosyne";
version = "2.10.1";
format = "setuptools";
src = fetchurl {
url = "mirror://sourceforge/project/mnemosyne-proj/mnemosyne/mnemosyne-${version}/Mnemosyne-${version}.tar.gz";
sha256 = "sha256-zI79iuRXb5S0Y87KfdG+HKc0XVNQOAcBR7Zt/OdaBP4=";
};
nativeBuildInputs = with python3Packages; [ pyqtwebengine.wrapQtAppsHook ];
buildInputs = [ anki ];
propagatedBuildInputs = with python3Packages; [
cheroot
cherrypy
googletrans
gtts
matplotlib
pyopengl
pyqt6
pyqt6-webengine
argon2-cffi
webob
];
prePatch = ''
substituteInPlace setup.py \
--replace '("", ["/usr/local/bin/mplayer"])' ""
'';
# No tests/ directory in tarball
doCheck = false;
postInstall = ''
mkdir -p $out/share/applications
mv mnemosyne.desktop $out/share/applications
'';
dontWrapQtApps = true;
makeWrapperArgs = [
"\${qtWrapperArgs[@]}"
];
meta = {
homepage = "https://mnemosyne-proj.org/";
description = "Spaced-repetition software";
mainProgram = "mnemosyne";
longDescription = ''
The Mnemosyne Project has two aspects:
* It's a free flash-card tool which optimizes your learning process.
* It's a research project into the nature of long-term memory.
We strive to provide a clear, uncluttered piece of software, easy to use
and to understand for newbies, but still infinitely customisable through
plugins and scripts for power users.
## Efficient learning
Mnemosyne uses a sophisticated algorithm to schedule the best time for
a card to come up for review. Difficult cards that you tend to forget
quickly will be scheduled more often, while Mnemosyne won't waste your
time on things you remember well.
## Memory research
If you want, anonymous statistics on your learning process can be
uploaded to a central server for analysis. This data will be valuable to
study the behaviour of our memory over a very long time period. The
results will be used to improve the scheduling algorithms behind the
software even further.
'';
};
}