%global __brp_check_rpaths %{nil}
%global packname  andurinha
%global packver   0.0.2
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.0.2
Release:          1%{?dist}%{?buildtag}
Summary:          Make Spectroscopic Data Processing Easier

License:          GPL-2 | file LICENSE
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 3.5.0
Requires:         R-core >= 3.5.0
BuildArch:        noarch
BuildRequires:    R-CRAN-signal 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-cowplot 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-utils 
BuildRequires:    R-CRAN-plyr 
Requires:         R-CRAN-signal 
Requires:         R-CRAN-tidyr 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-cowplot 
Requires:         R-CRAN-rlang 
Requires:         R-utils 
Requires:         R-CRAN-plyr 

%description
The goal of 'andurinha' is provide a fast and friendly way to process
spectroscopic data. It is intended for processing several spectra of
samples with similar composition (tens to hundreds of spectra). It
compiles spectroscopy data files, produces standardized and second
derivative spectra, finds peaks and allows to select the most significant
ones based on the second derivative/absorbance sum spectrum. It also
provides functions for graphic evaluation of the outputs.

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

find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;
[ -d %{packname}/src ] && find %{packname}/src -type f -exec \
  sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true

%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
find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \;

%files
%{rlibdir}/%{packname}