%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  contoso
%global packver   2.4.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          2.4.0
Release:          1%{?dist}%{?buildtag}
Summary:          Dataset of the 'Contoso' Company

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


BuildRequires:    R-devel >= 4.1.0
Requires:         R-core >= 4.1.0
BuildArch:        noarch
BuildRequires:    R-CRAN-duckdb >= 1.4.0
BuildRequires:    R-CRAN-DBI 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-cli 
BuildRequires:    R-CRAN-purrr 
BuildRequires:    R-CRAN-tibble 
BuildRequires:    R-CRAN-yaml12 
Requires:         R-CRAN-duckdb >= 1.4.0
Requires:         R-CRAN-DBI 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-cli 
Requires:         R-CRAN-purrr 
Requires:         R-CRAN-tibble 
Requires:         R-CRAN-yaml12 

%description
A collection of synthetic datasets simulating sales transactions from a
fictional company. The dataset includes various related tables that
contain essential business and operational data, useful for analyzing
sales performance and other business insights. Key tables included in the
package are: - "sales": Contains data on individual sales transactions,
including order details, pricing, quantities, and customer information. -
"customer": Stores customer-specific details such as demographics,
geographic location, occupation, and birthday. - "store": Provides
information about stores, including location, size, status, and
operational dates. - "orders": Contains details about customer orders,
including order and delivery dates, store, and customer data. - "product":
Contains data on products, including attributes such as product name,
category, price, cost, and weight. - "calendar": A time-based table that
includes date-related attributes like year, month, quarter, day, and
working day indicators. The package also includes 1,127 fictional internal
business reports (weekly sales flashes, monthly reviews, regional reviews,
pricing committee minutes, annual operating plans and industry notes)
written about the trading from 2016 to 2025 in the larger cloud dataset,
with a glossary of the terms they use, for building and testing document
search and financial planning and analysis workflows with large language
models. This dataset is ideal for practicing data analysis, performing
time-series analysis, creating reports, or simulating business
intelligence scenarios.

%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}