%global _empty_manifest_terminate_build 0 Name: python-pytd Version: 1.5.1 Release: 1 Summary: Treasure Data Driver for Python License: Apache License 2.0 URL: https://github.com/treasure-data/pytd Source0: https://mirrors.nju.edu.cn/pypi/web/packages/af/9a/d1bc9ebcd4691413fc8a8622af2b44c84f143d26dda9daad672f667a4eb1/pytd-1.5.1.tar.gz BuildArch: noarch Requires: python3-urllib3 Requires: python3-presto-python-client Requires: python3-pandas Requires: python3-td-client Requires: python3-pytz Requires: python3-numpy Requires: python3-sphinx Requires: python3-sphinx-rtd-theme Requires: python3-numpydoc Requires: python3-ipython Requires: python3-td-pyspark Requires: python3-pyspark Requires: python3-pyarrow Requires: python3-pytest %description |Build status| |PyPI version| |docs status| **pytd** provides user-friendly interfaces to Treasure Data’s `REST APIs `__, `Presto query engine `__, and `Plazma primary storage `__. The seamless connection allows your Python code to efficiently read/write a large volume of data from/to Treasure Data. Eventually, pytd makes your day-to-day data analytics work more productive. %package -n python3-pytd Summary: Treasure Data Driver for Python Provides: python-pytd BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-pytd |Build status| |PyPI version| |docs status| **pytd** provides user-friendly interfaces to Treasure Data’s `REST APIs `__, `Presto query engine `__, and `Plazma primary storage `__. The seamless connection allows your Python code to efficiently read/write a large volume of data from/to Treasure Data. Eventually, pytd makes your day-to-day data analytics work more productive. %package help Summary: Development documents and examples for pytd Provides: python3-pytd-doc %description help |Build status| |PyPI version| |docs status| **pytd** provides user-friendly interfaces to Treasure Data’s `REST APIs `__, `Presto query engine `__, and `Plazma primary storage `__. The seamless connection allows your Python code to efficiently read/write a large volume of data from/to Treasure Data. Eventually, pytd makes your day-to-day data analytics work more productive. %prep %autosetup -n pytd-1.5.1 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-pytd -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Mon Apr 10 2023 Python_Bot - 1.5.1-1 - Package Spec generated