%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  aifeducation
%global packver   0.3.3
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.3.3
Release:          1%{?dist}%{?buildtag}
Summary:          Artificial Intelligence for Education

License:          GPL-3
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
BuildRequires:    R-CRAN-reticulate >= 1.34.0
BuildRequires:    R-CRAN-Rcpp >= 1.0.10
BuildRequires:    R-CRAN-iotarelr >= 0.1.5
BuildRequires:    R-CRAN-abind 
BuildRequires:    R-CRAN-foreach 
BuildRequires:    R-CRAN-doParallel 
BuildRequires:    R-CRAN-irr 
BuildRequires:    R-CRAN-irrCAC 
BuildRequires:    R-methods 
BuildRequires:    R-CRAN-reshape2 
BuildRequires:    R-CRAN-smotefamily 
BuildRequires:    R-CRAN-stringr 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-utils 
BuildRequires:    R-CRAN-RcppArmadillo 
Requires:         R-CRAN-reticulate >= 1.34.0
Requires:         R-CRAN-Rcpp >= 1.0.10
Requires:         R-CRAN-iotarelr >= 0.1.5
Requires:         R-CRAN-abind 
Requires:         R-CRAN-foreach 
Requires:         R-CRAN-doParallel 
Requires:         R-CRAN-irr 
Requires:         R-CRAN-irrCAC 
Requires:         R-methods 
Requires:         R-CRAN-reshape2 
Requires:         R-CRAN-smotefamily 
Requires:         R-CRAN-stringr 
Requires:         R-CRAN-rlang 
Requires:         R-utils 

%description
In social and educational settings, the use of Artificial Intelligence
(AI) is a challenging task. Relevant data is often only available in
handwritten forms, or the use of data is restricted by privacy policies.
This often leads to small data sets. Furthermore, in the educational and
social sciences, data is often unbalanced in terms of frequencies. To
support educators as well as educational and social researchers in using
the potentials of AI for their work, this package provides a unified
interface for neural nets in 'keras', 'tensorflow', and 'pytorch' to deal
with natural language problems. In addition, the package ships with a
shiny app, providing a graphical user interface. This allows the usage of
AI for people without skills in writing python/R scripts. The tools
integrate existing mathematical and statistical methods for dealing with
small data sets via pseudo-labeling (e.g. Lee (2013)
<https://www.researchgate.net/publication/280581078_Pseudo-Label_The_Simple_and_Efficient_Semi-Supervised_Learning_Method_for_Deep_Neural_Networks>,
Cascante-Bonilla et al. (2020) <doi:10.48550/arXiv.2001.06001>) and
imbalanced data via the creation of synthetic cases (e.g. Bunkhumpornpat
et al. (2012) <doi:10.1007/s10489-011-0287-y>). Performance evaluation of
AI is connected to measures from content analysis which educational and
social researchers are generally more familiar with (e.g. Berding &
Pargmann (2022) <doi:10.30819/5581>, Gwet (2014) <ISBN:978-0-9708062-8-4>,
Krippendorff (2019) <doi:10.4135/9781071878781>). Estimation of energy
consumption and CO2 emissions during model training is done with the
'python' library 'codecarbon'.  Finally, all objects created with this
package allow to share trained AI models with other people.

%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}