%global pypi_name PyNLPl
%global pkg_name pynlpl

Name:           python-%{pkg_name}
Version:        1.0.9
Release:        1%{?dist}
Summary:        A Python library for Natural Language Processing

License:        GPLv3
URL:            https://github.com/proycon/%{pkg_name}
Source0:        https://github.com/proycon/%{pkg_name}/archive/v%{version}.tar.gz#/%{pkg_name}-%{version}.tar.gz
BuildArch:      noarch

BuildRequires:  python2-setuptools
BuildRequires:  python2-devel
BuildRequires:  python-lxml >= 2.2
BuildRequires:  python-httplib2 >= 0.6

BuildRequires:  python3-setuptools
BuildRequires:  python3-devel
BuildRequires:  python3-lxml >= 2.2
BuildRequires:  python3-httplib2 >= 0.6
# Required to build docs
BuildRequires:  python3-sphinx
BuildRequires:  python3-twisted

%description
PyNLPl, pronounced as ‘pineapple’, is a Python library for Natural Language
Processing. It contains various modules useful for common, and less common,
NLP tasks. PyNLPl can be used for basic tasks such as the extraction of
n-grams and frequency lists, and to build simple language model. There are
also more complex data types and algorithms. Moreover, there are parsers for
file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are
also clients to interface with various NLP specific servers. PyNLPl most
notably features a very extensive library for working with FoLiA XML (Format
for Linguistic Annotation).

%package -n     python2-%{pkg_name}
Summary:        %{summary}
%{?python_provide:%python_provide python2-%{pkg_name}}

Requires:       python-lxml >= 2.2
Requires:       python-httplib2 >= 0.6
Requires:       python2-setuptools
Requires:       python2-numpy
%description -n python2-%{pkg_name}
PyNLPl, pronounced as ‘pineapple’, is a Python library for Natural Language
Processing. It contains various modules useful for common, and less common,
NLP tasks. PyNLPl can be used for basic tasks such as the extraction of
n-grams and frequency lists, and to build simple language model. There are
also more complex data types and algorithms. Moreover, there are parsers for
file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are
also clients to interface with various NLP specific servers. PyNLPl most
notably features a very extensive library for working with FoLiA XML (Format
for Linguistic Annotation).

%package -n     python3-%{pkg_name}
Summary:        %{summary}
%{?python_provide:%python_provide python3-%{pkg_name}}

Requires:       python3-lxml >= 2.2
Requires:       python3-httplib2 >= 0.6
Requires:       python3-setuptools
Requires:       python3-numpy
%description -n python3-%{pkg_name}
PyNLPl, pronounced as ‘pineapple’, is a Python library for Natural Language
Processing. It contains various modules useful for common, and less common,
NLP tasks. PyNLPl can be used for basic tasks such as the extraction of
n-grams and frequency lists, and to build simple language model. There are
also more complex data types and algorithms. Moreover, there are parsers for
file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are
also clients to interface with various NLP specific servers. PyNLPl most
notably features a very extensive library for working with FoLiA XML (Format
for Linguistic Annotation).

%package doc
Summary:        PyNLPl documentation
%description doc
Documentation for PyNLPl library.

%prep
%autosetup -n %{pkg_name}-%{version}
# Create a soft link with a package name without a version,
# to be used when generating documentation
pushd %{_builddir}
ln -s ./%{pkg_name}-%{version} %{pkg_name}
popd
# Remove shebangs
for lib in `find . -type f -name '*.py'`
do
  sed '1{\@^#!\s\?/usr/bin/env python@d}' $lib > $lib.new &&
  touch -r $lib $lib.new &&
  mv $lib.new $lib
done

%build
%py2_build
%py3_build
# Generate html docs using the script defined by upstream
pushd docs
sh make.sh
# Remove the sphinx-build leftovers
rm -rf build/html/.{doctrees,buildinfo}
popd

%install
pushd build
%py3_install
popd

pushd build
%py2_install
popd

%check
# Exclude folia.py, folia_benchmark.py, formats.py and fql.py tests
# as they download external resources from Github
rm tests/{folia*,formats,fql}.py
# Run tests
%{__python2} setup.py test -s tests
%{__python3} setup.py test -s tests

%files -n python2-%{pkg_name}
%license LICENSE
%doc README.rst
# The executables are only installed on python 3 (by statement in setup.py)
%{python2_sitelib}/%{pkg_name}
%{python2_sitelib}/%{pypi_name}-%{version}-py?.?.egg-info

%files -n python3-%{pkg_name}
%license LICENSE
%doc README.rst
%{_bindir}/pynlpl-computepmi
%{_bindir}/pynlpl-sampler
%{_bindir}/pynlpl-makefreqlist
%{python3_sitelib}/%{pkg_name}
%{python3_sitelib}/%{pypi_name}-%{version}-py?.?.egg-info

%files doc
%license LICENSE
%doc docs/build/html

%changelog
* Wed Nov 2 2016 Iryna Shcherbina <ishcherb@redhat.com> - 1.0.9-1
- Initial package.