# brainweb-dl -- download and cache BrainWeb simulated brain MRI (the McGill/MNI
# BrainWeb database: 1 normal + 20 anatomical models, fuzzy and crisp tissue
# segmentations, simulated T1/T2/PD/T2* contrasts) as NumPy arrays or NIfTI.
# Pure Python.
#
# WHY IT IS HERE: deepinv.datasets.BrainWebMRI loads its phantoms through
# brainweb_dl.get_mri. BrainWeb is also a common ground-truth phantom for
# segmentation and reconstruction tests elsewhere in this Copr.
#
# Class 1 under docs/PACKAGING-POLICY.md: Fedora ships no package by this source
# name and nothing provides python3dist(brainweb-dl). Verified 2026-10-12:
#   dnf repoquery --whatprovides 'python3dist(brainweb-dl)'  -> empty
#
# Data: nothing is packaged. The tool downloads from brainweb.bic.mni.mcgill.ca
# when the user calls it, into ~/.cache/brainweb (or BRAINWEB_DIR). The two
# tissue tables in brainweb_dl/data/ are the tool's own parameter lists (T1, T2,
# T2*, PD per tissue class), part of the MIT-licensed source.

%global pypi_name       brainweb-dl
%global import_name     brainweb_dl

Name:           python-%{pypi_name}
Version:        0.4.6
Release:        1%{?dist}
Summary:        Download and cache the BrainWeb simulated brain MRI database

License:        MIT
URL:            https://github.com/paquiteau/brainweb-dl
Source0:        %{pypi_source brainweb_dl}

BuildArch:      noarch

BuildRequires:  python3-devel
BuildRequires:  python3dist(pytest)

%global _description %{expand:
brainweb-dl downloads volumes from the BrainWeb simulated brain database
(McGill University, Montreal Neurological Institute) and caches them locally:
the original normal brain and the twenty anatomical models, with fuzzy or crisp
tissue segmentations and simulated T1, T2, PD and T2* images at chosen noise,
RF inhomogeneity and resolution. Volumes come back as NumPy arrays or are saved
as NIfTI. A brainweb-dl command does the same from the shell.}

%description %_description

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

%description -n python3-%{pypi_name} %_description

%prep
%autosetup -p1 -n brainweb_dl-%{version}

%generate_buildrequires
# Core requirements only: the "test" extra adds pytest-black, pytest-cov and
# pytest-sugar for upstream CI.
%pyproject_buildrequires

%build
%pyproject_wheel

%install
%pyproject_install
%pyproject_save_files -l %{import_name}

%check
%pyproject_check_import
# Every other upstream test downloads from brainweb.bic.mni.mcgill.ca. The three
# test_get_mri1_unavailable cases check argument validation before any request
# is made, so they run offline.
%pytest -c /dev/null --rootdir=. tests -p no:cacheprovider -q -rs \
    -k test_get_mri1_unavailable
# The bundled tissue tables load, and the CLI starts.
%{py3_test_envvars} %{python3} -c '
from importlib.resources import files
from brainweb_dl._brainweb import _load_tissue_map
for name, n in (("brainweb1_tissues.csv", 10), ("brainweb20_tissues.csv", 12)):
    rows = _load_tissue_map(files("brainweb_dl") / "data" / name)
    assert len(rows) == n, (name, len(rows))
    assert {"ID", "Label", "T1 (ms)", "T2 (ms)", "T2s (ms)"} <= set(rows[0]), rows[0]
    csf = next(r for r in rows if r["ID"] == "csf")
    assert int(csf["T1 (ms)"]) > 2000, csf
    print(name, len(rows), "tissue classes")
'
%{py3_test_envvars} %{buildroot}%{_bindir}/brainweb-dl --help >/dev/null

%files -n python3-%{pypi_name} -f %{pyproject_files}
%doc README.md
%{_bindir}/brainweb-dl

%changelog
* Mon Oct 12 2026 Morgan Hough <morgan.hough@gmail.com> - 0.4.6-1
- Initial package: phantom loader for deepinv.datasets.BrainWebMRI.