%global pypi_name unigradicon

Name:           python-unigradicon
Version:        1.0.5
Release:        1%{?dist}
Summary:        Foundation model for medical image registration

# The LICENSE file is the full Apache License 2.0 text, but setup.cfg carries a
# "License :: OSI Approved :: MIT License" classifier and PyPI reports no licence
# at all. The file is the grant; the classifier is a stale label. Read from the
# file, as house practice requires, not from the index.
License:        Apache-2.0
URL:            https://github.com/uncbiag/uniGradICON
# NOT %%{pypi_source}: 1.0.5 publishes a wheel only on PyPI, no sdist, and
# Fedora builds from source. The GitHub tag is "1.0.5" (no "v" prefix, unlike
# v1.0.3 and v1.0.4) and setup.cfg in that tag reads version = 1.0.5.
Source0:        %{url}/archive/%{version}/%{pypi_name}-%{version}.tar.gz

BuildArch:      noarch
BuildRequires:  python3-devel
BuildRequires:  pyproject-rpm-macros
# Needed for %%check -- see the Requires below for why none of these are
# generated from upstream's metadata.
BuildRequires:  python3-itk
BuildRequires:  python3-footsteps
BuildRequires:  python3-torch

%global _description %{expand:
uniGradICON is a pretrained deep-learning model for registering medical images
of any anatomy, built on the GradICON/ICON inverse-consistency framework. It
provides the unigradicon-register, unigradicon-warp, unigradicon-jacobian and
unicarl-register commands.

Model weights are NOT included. They are downloaded from GitHub releases on
first use, so the first registration needs network access.

The import name is "unigradicon".}

%description %{_description}

%package -n python3-unigradicon
Summary:        %{summary}

# Upstream declares only icon_registration. The code also imports itk, footsteps
# and torch directly at module scope, none of which are in install_requires, so
# nothing is generated for them. python3-itk cannot be generated in any case: it
# provides no python3dist(itk) (a gap in the ITK spec).
Requires:       python3-itk
Requires:       python3-footsteps
Requires:       python3-torch

%description -n python3-unigradicon %{_description}

%prep
%autosetup -n uniGradICON-%{version}

%generate_buildrequires
%pyproject_buildrequires

%build
%pyproject_wheel

%install
%pyproject_install
%pyproject_save_files unigradicon

%check
# Import only; the tests download weights. unigradicon.unicarl is excluded
# because it imports icon_registration.unicarl.register, which imports
# torchvision -- BROKEN in Fedora on f45 and rawhide (see
# docs/upstream/fedora-torchvision-cuda-version.md). It will import once Fedora
# fixes torchvision, with no change here.
%pyproject_check_import -e unigradicon.unicarl

%files -n python3-unigradicon -f %{pyproject_files}
%license LICENSE
%doc README.md
%{_bindir}/unigradicon-register
%{_bindir}/unigradicon-warp
%{_bindir}/unigradicon-jacobian
%{_bindir}/unicarl-register

%changelog
* Sun Oct 04 2026 Morgan Hough <morgan.hough@gmail.com> - 1.0.5-1
- Initial package: unigradicon 1.0.5, a dependency of
  Project-MONAI/monai-physio. Its only declared dependency is icon-registration,
  packaged in 1.1.8-1.
- Built from the GitHub tag, not PyPI: 1.0.5 is wheel-only there. The tag is
  "1.0.5" and its setup.cfg agrees (main used to read 1.0.4).
- LICENSE is the full Apache-2.0 text; the MIT classifier in setup.cfg disagrees
  and is treated as a stale label.
- Undeclared upstream dependencies added by hand: itk, footsteps and torch are
  all imported at module scope but absent from install_requires.
- unigradicon.unicarl excluded from the import check: it needs torchvision,
  which is broken in Fedora on f45/rawhide.
- Model weights are fetched from GitHub releases at first use, not shipped.