# python-dlib: Python bindings for the dlib machine-learning toolkit.
#
# Fedora dropped python-dlib from its repos; Howdy needs it. This spec builds
# ONLY the Python module (no GUI, no CUDA) so the build is reproducible on any
# host and pulls no X11 at runtime.
#
# IMPORTANT: dlib's cmake auto-detects a CUDA toolkit if one exists on the
# builder (e.g. /usr/local/cuda) and then fails to compile when nvcc rejects
# the host gcc (gcc >= 15). dlib's setup.py forwards any DLIB_* environment
# variable as a -D cmake flag, so we hard-force DLIB_USE_CUDA=OFF below.
# (CMAKE_ARGS is IGNORED by dlib's setup.py -- only DLIB_* env vars work.)

%global pypi_name dlib

# The extension is compiled by cmake inside pip's build dir; find-debuginfo
# produces an empty debugsource file list there, which aborts the build.
%undefine _debugsource_packages

Name:           python-dlib
Version:        20.0.1
Release:        1%{?dist}
Summary:        Python bindings for the dlib machine learning toolkit

# dlib is Boost Software License 1.0
License:        BSL-1.0
URL:            http://dlib.net/
Source0:        %{pypi_source dlib}

BuildRequires:  python3-devel
BuildRequires:  python3dist(setuptools)
BuildRequires:  python3dist(packaging)
BuildRequires:  gcc-c++
BuildRequires:  cmake
BuildRequires:  make
# BLAS/LAPACK for the matrix routines used by face recognition
BuildRequires:  openblas-devel
BuildRequires:  lapack-devel
# system image codecs (dlib bundles copies it will use if these are absent;
# prefer the system libraries)
BuildRequires:  libjpeg-turbo-devel
BuildRequires:  libpng-devel
BuildRequires:  libwebp-devel
BuildRequires:  giflib-devel

%global _description %{expand:
dlib is a modern C++ toolkit containing machine learning algorithms and
tools for creating complex software to solve real world problems.
This package provides the Python 3 bindings (the "dlib" module), built
without CUDA and without GUI support.}

%description %_description

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

%description -n python3-dlib %_description

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

%generate_buildrequires
%pyproject_buildrequires

%build
# Force-disable CUDA even if the build host has a CUDA toolkit installed,
# and skip GUI (X11) support entirely. setup.py forwards DLIB_* env vars
# to cmake as -DDLIB_...=... flags.
export DLIB_USE_CUDA=OFF
export DLIB_NO_GUI_SUPPORT=ON
%pyproject_wheel

%install
%pyproject_install
%pyproject_save_files dlib '_dlib*'

%check
%pyproject_check_import dlib

%files -n python3-dlib -f %{pyproject_files}
%license dlib/LICENSE.txt
%doc README.md

%changelog
* Sun Aug 23 2026 Scott Nelson <scottdnelson.coffee@gmail.com> - 20.0.1-1
- Initial package for COPR: Python module only, no CUDA, no GUI support
- Force DLIB_USE_CUDA=OFF so a host CUDA toolkit can never break the build