%global _empty_manifest_terminate_build 0 Name: python-hdx-python-scraper Version: 2.1.5 Release: 1 Summary: HDX Python scraper utilities to assemble data from multiple sources License: MIT URL: https://github.com/OCHA-DAP/hdx-python-scraper Source0: https://mirrors.nju.edu.cn/pypi/web/packages/4a/c2/4dba3339e0187f2cd5a34d1bcdc7801684684d4e03657b1d677ff064e8e9/hdx-python-scraper-2.1.5.tar.gz BuildArch: noarch Requires: python3-hdx-python-api Requires: python3-gspread Requires: python3-regex Requires: python3-pandas %description [![Build Status](https://github.com/OCHA-DAP/hdx-python-scraper/actions/workflows/run-python-tests.yml/badge.svg)](https://github.com/OCHA-DAP/hdx-python-scraper/actions/workflows/run-python-tests.yml) [![Coverage Status](https://codecov.io/gh/OCHA-DAP/hdx-python-scraper/branch/main/graph/badge.svg?token=JpWZc5js4y)](https://codecov.io/gh/OCHA-DAP/hdx-python-scraper) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/) The HDX Python Scraper Library is designed to enable you to easily develop code that assembles data from one or more tabular sources that can be csv, xls, xlsx or JSON. It uses a YAML file that specifies for each source what needs to be read and allows some transformations to be performed on the data. The output is written to JSON, Google sheets and/or Excel and includes the addition of [Humanitarian Exchange Language (HXL)](https://hxlstandard.org/) hashtags specified in the YAML file. Custom Python scrapers can also be written that conform to a defined specification and the framework handles the execution of both configurable and custom scrapers. For more information, please read the [documentation](https://hdx-python-scraper.readthedocs.io/en/latest/). This library is part of the [Humanitarian Data Exchange](https://data.humdata.org/) (HDX) project. If you have humanitarian related data, please upload your datasets to HDX. %package -n python3-hdx-python-scraper Summary: HDX Python scraper utilities to assemble data from multiple sources Provides: python-hdx-python-scraper BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-hdx-python-scraper [![Build Status](https://github.com/OCHA-DAP/hdx-python-scraper/actions/workflows/run-python-tests.yml/badge.svg)](https://github.com/OCHA-DAP/hdx-python-scraper/actions/workflows/run-python-tests.yml) [![Coverage Status](https://codecov.io/gh/OCHA-DAP/hdx-python-scraper/branch/main/graph/badge.svg?token=JpWZc5js4y)](https://codecov.io/gh/OCHA-DAP/hdx-python-scraper) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/) The HDX Python Scraper Library is designed to enable you to easily develop code that assembles data from one or more tabular sources that can be csv, xls, xlsx or JSON. It uses a YAML file that specifies for each source what needs to be read and allows some transformations to be performed on the data. The output is written to JSON, Google sheets and/or Excel and includes the addition of [Humanitarian Exchange Language (HXL)](https://hxlstandard.org/) hashtags specified in the YAML file. Custom Python scrapers can also be written that conform to a defined specification and the framework handles the execution of both configurable and custom scrapers. For more information, please read the [documentation](https://hdx-python-scraper.readthedocs.io/en/latest/). This library is part of the [Humanitarian Data Exchange](https://data.humdata.org/) (HDX) project. If you have humanitarian related data, please upload your datasets to HDX. %package help Summary: Development documents and examples for hdx-python-scraper Provides: python3-hdx-python-scraper-doc %description help [![Build Status](https://github.com/OCHA-DAP/hdx-python-scraper/actions/workflows/run-python-tests.yml/badge.svg)](https://github.com/OCHA-DAP/hdx-python-scraper/actions/workflows/run-python-tests.yml) [![Coverage Status](https://codecov.io/gh/OCHA-DAP/hdx-python-scraper/branch/main/graph/badge.svg?token=JpWZc5js4y)](https://codecov.io/gh/OCHA-DAP/hdx-python-scraper) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/) The HDX Python Scraper Library is designed to enable you to easily develop code that assembles data from one or more tabular sources that can be csv, xls, xlsx or JSON. It uses a YAML file that specifies for each source what needs to be read and allows some transformations to be performed on the data. The output is written to JSON, Google sheets and/or Excel and includes the addition of [Humanitarian Exchange Language (HXL)](https://hxlstandard.org/) hashtags specified in the YAML file. Custom Python scrapers can also be written that conform to a defined specification and the framework handles the execution of both configurable and custom scrapers. For more information, please read the [documentation](https://hdx-python-scraper.readthedocs.io/en/latest/). This library is part of the [Humanitarian Data Exchange](https://data.humdata.org/) (HDX) project. If you have humanitarian related data, please upload your datasets to HDX. %prep %autosetup -n hdx-python-scraper-2.1.5 %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-hdx-python-scraper -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Mon May 29 2023 Python_Bot - 2.1.5-1 - Package Spec generated