%global _empty_manifest_terminate_build 0 Name: python-pystac Version: 1.7.2 Release: 1 Summary: Python library for working with Spatiotemporal Asset Catalog (STAC). License: Apache Software License 2.0 URL: https://github.com/stac-utils/pystac Source0: https://mirrors.nju.edu.cn/pypi/web/packages/cb/28/15f5909fe69af84e2783ba49f6190cf355eb08574741fbe698c1b4205f6b/pystac-1.7.2.tar.gz BuildArch: noarch Requires: python3-dateutil Requires: python3-orjson Requires: python3-urllib3 Requires: python3-jsonschema %description # PySTAC [![Build Status](https://github.com/stac-utils/pystac/workflows/CI/badge.svg?branch=main)](https://github.com/stac-utils/pystac/actions/workflows/continuous-integration.yml) [![PyPI version](https://badge.fury.io/py/pystac.svg)](https://badge.fury.io/py/pystac) [![Conda (channel only)](https://img.shields.io/conda/vn/conda-forge/pystac)](https://anaconda.org/conda-forge/pystac) [![Documentation](https://readthedocs.org/projects/pystac/badge/?version=latest)](https://pystac.readthedocs.io/en/latest/) [![codecov](https://codecov.io/gh/stac-utils/pystac/branch/main/graph/badge.svg)](https://codecov.io/gh/stac-utils/pystac) [![Gitter](https://badges.gitter.im/SpatioTemporal-Asset-Catalog/python.svg)](https://gitter.im/SpatioTemporal-Asset-Catalog/python?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) PySTAC is a library for working with [SpatioTemporal Asset Catalog](https://stacspec.org) in Python 3. ## Installation ### Install from PyPi (recommended) ```shell pip install pystac ``` If you would like to enable the validation feature utilizing the [jsonschema](https://pypi.org/project/jsonschema/) project, install with the optional `validation` requirements: ```shell pip install pystac[validation] ``` If you would like to use the [`orjson`](https://pypi.org/project/orjson/) instead of the standard `json` library for JSON serialization/deserialization, install with the optional `orjson` requirements: ```shell pip install pystac[orjson] ``` If you would like to use a custom `RetryStacIO` class for automatically retrying network requests when reading with PySTAC, you'll need [`urllib3`](https://urllib3.readthedocs.io/en/stable/): ```shell pip install pystac[urllib3] ``` ### Install from source ```shell git clone https://github.com/stac-utils/pystac.git cd pystac pip install . ``` See the [installation page](https://pystac.readthedocs.io/en/latest/installation.html) for more options. ## Documentation See the [documentation page](https://pystac.readthedocs.io/en/latest/) for the latest docs. ## Developing See [contributing docs](https://pystac.readthedocs.io/en/latest/contributing.html) for details on contributing to this project. ## Running the quickstart and tutorials There is a quickstart and tutorials written as jupyter notebooks in the `docs/tutorials` folder. To run the notebooks, run a jupyter notebook with the `docs` directory as the notebook directory: ```shell jupyter notebook --ip 0.0.0.0 --port 8888 --notebook-dir=docs ``` You can then navigate to the notebooks and execute them. Requires [Jupyter](https://jupyter.org/) be installed. %package -n python3-pystac Summary: Python library for working with Spatiotemporal Asset Catalog (STAC). Provides: python-pystac BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-pystac # PySTAC [![Build Status](https://github.com/stac-utils/pystac/workflows/CI/badge.svg?branch=main)](https://github.com/stac-utils/pystac/actions/workflows/continuous-integration.yml) [![PyPI version](https://badge.fury.io/py/pystac.svg)](https://badge.fury.io/py/pystac) [![Conda (channel only)](https://img.shields.io/conda/vn/conda-forge/pystac)](https://anaconda.org/conda-forge/pystac) [![Documentation](https://readthedocs.org/projects/pystac/badge/?version=latest)](https://pystac.readthedocs.io/en/latest/) [![codecov](https://codecov.io/gh/stac-utils/pystac/branch/main/graph/badge.svg)](https://codecov.io/gh/stac-utils/pystac) [![Gitter](https://badges.gitter.im/SpatioTemporal-Asset-Catalog/python.svg)](https://gitter.im/SpatioTemporal-Asset-Catalog/python?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) PySTAC is a library for working with [SpatioTemporal Asset Catalog](https://stacspec.org) in Python 3. ## Installation ### Install from PyPi (recommended) ```shell pip install pystac ``` If you would like to enable the validation feature utilizing the [jsonschema](https://pypi.org/project/jsonschema/) project, install with the optional `validation` requirements: ```shell pip install pystac[validation] ``` If you would like to use the [`orjson`](https://pypi.org/project/orjson/) instead of the standard `json` library for JSON serialization/deserialization, install with the optional `orjson` requirements: ```shell pip install pystac[orjson] ``` If you would like to use a custom `RetryStacIO` class for automatically retrying network requests when reading with PySTAC, you'll need [`urllib3`](https://urllib3.readthedocs.io/en/stable/): ```shell pip install pystac[urllib3] ``` ### Install from source ```shell git clone https://github.com/stac-utils/pystac.git cd pystac pip install . ``` See the [installation page](https://pystac.readthedocs.io/en/latest/installation.html) for more options. ## Documentation See the [documentation page](https://pystac.readthedocs.io/en/latest/) for the latest docs. ## Developing See [contributing docs](https://pystac.readthedocs.io/en/latest/contributing.html) for details on contributing to this project. ## Running the quickstart and tutorials There is a quickstart and tutorials written as jupyter notebooks in the `docs/tutorials` folder. To run the notebooks, run a jupyter notebook with the `docs` directory as the notebook directory: ```shell jupyter notebook --ip 0.0.0.0 --port 8888 --notebook-dir=docs ``` You can then navigate to the notebooks and execute them. Requires [Jupyter](https://jupyter.org/) be installed. %package help Summary: Development documents and examples for pystac Provides: python3-pystac-doc %description help # PySTAC [![Build Status](https://github.com/stac-utils/pystac/workflows/CI/badge.svg?branch=main)](https://github.com/stac-utils/pystac/actions/workflows/continuous-integration.yml) [![PyPI version](https://badge.fury.io/py/pystac.svg)](https://badge.fury.io/py/pystac) [![Conda (channel only)](https://img.shields.io/conda/vn/conda-forge/pystac)](https://anaconda.org/conda-forge/pystac) [![Documentation](https://readthedocs.org/projects/pystac/badge/?version=latest)](https://pystac.readthedocs.io/en/latest/) [![codecov](https://codecov.io/gh/stac-utils/pystac/branch/main/graph/badge.svg)](https://codecov.io/gh/stac-utils/pystac) [![Gitter](https://badges.gitter.im/SpatioTemporal-Asset-Catalog/python.svg)](https://gitter.im/SpatioTemporal-Asset-Catalog/python?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) PySTAC is a library for working with [SpatioTemporal Asset Catalog](https://stacspec.org) in Python 3. ## Installation ### Install from PyPi (recommended) ```shell pip install pystac ``` If you would like to enable the validation feature utilizing the [jsonschema](https://pypi.org/project/jsonschema/) project, install with the optional `validation` requirements: ```shell pip install pystac[validation] ``` If you would like to use the [`orjson`](https://pypi.org/project/orjson/) instead of the standard `json` library for JSON serialization/deserialization, install with the optional `orjson` requirements: ```shell pip install pystac[orjson] ``` If you would like to use a custom `RetryStacIO` class for automatically retrying network requests when reading with PySTAC, you'll need [`urllib3`](https://urllib3.readthedocs.io/en/stable/): ```shell pip install pystac[urllib3] ``` ### Install from source ```shell git clone https://github.com/stac-utils/pystac.git cd pystac pip install . ``` See the [installation page](https://pystac.readthedocs.io/en/latest/installation.html) for more options. ## Documentation See the [documentation page](https://pystac.readthedocs.io/en/latest/) for the latest docs. ## Developing See [contributing docs](https://pystac.readthedocs.io/en/latest/contributing.html) for details on contributing to this project. ## Running the quickstart and tutorials There is a quickstart and tutorials written as jupyter notebooks in the `docs/tutorials` folder. To run the notebooks, run a jupyter notebook with the `docs` directory as the notebook directory: ```shell jupyter notebook --ip 0.0.0.0 --port 8888 --notebook-dir=docs ``` You can then navigate to the notebooks and execute them. Requires [Jupyter](https://jupyter.org/) be installed. %prep %autosetup -n pystac-1.7.2 %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-pystac -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Sun Apr 23 2023 Python_Bot - 1.7.2-1 - Package Spec generated