%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  SportMiner
%global packver   0.1.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.0
Release:          1%{?dist}%{?buildtag}
Summary:          Text Mining and Topic Modeling for Sport Science Literature

License:          MIT + file LICENSE
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 4.0.0
Requires:         R-core >= 4.0.0
BuildArch:        noarch
BuildRequires:    R-CRAN-rscopus 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-tidytext 
BuildRequires:    R-CRAN-topicmodels 
BuildRequires:    R-CRAN-stm 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-CRAN-SnowballC 
BuildRequires:    R-CRAN-scales 
BuildRequires:    R-CRAN-textmineR 
BuildRequires:    R-CRAN-Matrix 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-CRAN-ggraph 
BuildRequires:    R-CRAN-igraph 
BuildRequires:    R-CRAN-widyr 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-CRAN-slam 
Requires:         R-CRAN-rscopus 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-tidytext 
Requires:         R-CRAN-topicmodels 
Requires:         R-CRAN-stm 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-rlang 
Requires:         R-CRAN-SnowballC 
Requires:         R-CRAN-scales 
Requires:         R-CRAN-textmineR 
Requires:         R-CRAN-Matrix 
Requires:         R-CRAN-tidyr 
Requires:         R-CRAN-ggraph 
Requires:         R-CRAN-igraph 
Requires:         R-CRAN-widyr 
Requires:         R-CRAN-magrittr 
Requires:         R-CRAN-slam 

%description
A comprehensive toolkit for mining, analyzing, and visualizing scientific
literature in sport science domains. Provides functions for retrieving
abstracts from 'Scopus', preprocessing text data, performing advanced
topic modeling using Latent Dirichlet Allocation ('LDA'), Structural Topic
Models ('STM'), and Correlated Topic Models ('CTM'), and creating
publication-ready visualizations including keyword co-occurrence networks
and topic trends. For methodological details see Blei et al. (2003)
<doi:10.1162/jmlr.2003.3.4-5.993> for 'LDA', Roberts et al. (2014)
<doi:10.1111/ajps.12103> for 'STM', and Blei and Lafferty (2007)
<doi:10.1214/07-AOAS114> for 'CTM'.

%prep
%setup -q -c -n %{packname}

# fix end of executable files
find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;
# prevent binary stripping
[ -d %{packname}/src ] && find %{packname}/src -type f -exec \
  sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true
[ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \
  sed -i 's@-g0@@g' {} \; || true
# don't allow local prefix in executable scripts
find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \;

%build

%install

mkdir -p %{buildroot}%{rlibdir}
%{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname}
test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so)
rm -f %{buildroot}%{rlibdir}/R.css
# remove buildroot from installed files
find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \;

%files
%{rlibdir}/%{packname}