%global _empty_manifest_terminate_build 0 Name: python-bdbag Version: 1.6.4 Release: 1 Summary: Big Data Bag Utilities License: Apache 2.0 URL: https://github.com/fair-research/bdbag/ Source0: https://mirrors.nju.edu.cn/pypi/web/packages/07/f0/59784061351b4f148658694c4de44ff7cd01706beaff4d4c56b05c632dc8/bdbag-1.6.4.tar.gz BuildArch: noarch Requires: python3-pytz Requires: python3-tzlocal Requires: python3-certifi Requires: python3-requests Requires: python3-setuptools-scm Requires: python3-bagit Requires: python3-bagit-profile Requires: python3-requests Requires: python3-boto3 Requires: python3-botocore Requires: python3-awscli Requires: python3-google-cloud-storage Requires: python3-globus-sdk %description # bdbag [![Build Status](https://app.travis-ci.com/fair-research/bdbag.svg)](https://app.travis-ci.com/fair-research/bdbag) [![Coverage Status](https://coveralls.io/repos/github/fair-research/bdbag/badge.svg?branch=master)](https://coveralls.io/github/fair-research/bdbag?branch=master) [![PyPi Version](https://img.shields.io/pypi/v/bdbag.svg)](https://pypi.python.org/pypi/bdbag) [![PyPi Downloads](https://pepy.tech/badge/bdbag)](https://pepy.tech/project/bdbag) [![PyPi Wheel](https://img.shields.io/pypi/wheel/bdbag.svg)](https://pypi.python.org/pypi/bdbag) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/bdbag/badges/version.svg)](https://anaconda.org/conda-forge/bdbag) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/bdbag/badges/downloads.svg)](https://anaconda.org/conda-forge/bdbag) [![Python Versions](https://img.shields.io/pypi/pyversions/bdbag.svg)](https://pypi.python.org/pypi/bdbag) [![License](https://img.shields.io/pypi/l/bdbag.svg)](http://www.apache.org/licenses/LICENSE-2.0) ## Big Data Bag Utilities The `bdbag` utilities are a collection of software programs for working with [BagIt](https://datatracker.ietf.org/doc/draft-kunze-bagit/) packages that conform to the BDBag and Bagit/RO profiles. The `bdbag` [profiles](https://github.com/fair-research/bdbag/tree/master/profiles) specify the use of the `fetch.txt` file, require serialization, and specify what manifests must be provided with a `bdbag`. The `bdbag` utilities incorporate functions from various other Python-based `bagit` components (such as the [Bagit-Python](https://github.com/LibraryOfCongress/bagit-python) bag creation utility and the [Bagit-Profiles-Validator](https://github.com/ruebot/bagit-profiles) utility) and wraps them in a single, easy to use software package with additional features. Enhanced bag support includes: * Update-in-place functionality for existing bags. * Automatic archiving and extraction of bags using ZIP, TAR, and TGZ formats. * Automatic generation of file manifest entries and `fetch.txt` for remote files via configuration file. * Automatic file retrieval based on the contents of a bag's `fetch.txt` file with multiple protocol support. Transport handlers for `http(s)`,`ftp`,`s3`,`gs`, and `globus` are provided, along with an extensibility mechanism for adding externally developed transports. * Built-in `bagit-profile` validation. * Built-in support for creation of bags with [Bagit/RO profile](https://github.com/ResearchObject/bagit-ro) compatibility. An experimental Graphical User Interface (GUI) for `bdbag` can be found [here](https://github.com/fair-research/bdbag_gui). #### Technical Papers ["I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets"](https://zenodo.org/record/820878) explains the motivation for BDBags and the related Minid construct, provides details on design and implementation, and gives examples of use. ["Reproducible big data science: A case study in continuous FAIRness"](https://www.biorxiv.org/content/early/2018/02/27/268755) presents a data analysis use case in which BDBags and Minids are used to capture a transcription factor binding site analysis. ### Dependencies * [Python 2.7](https://www.python.org/downloads/release/python-27/) is the minimum Python version required. * The code and dependencies are also compatible with Python 3, versions 3.5 through 3.9. ### Installation The latest `bdbag` release is available on PyPi and can be installed using `pip`: ```sh pip install bdbag ``` Note that the above command will install `bdbag` with only the minimal dependencies required to run. If you wish to install `bdbag` with the extra fetch transport handler support provided by `boto` (for AWS S3) and `globus` (for Globus Transfer) packages, use the following command: ```sh pip install bdbag[boto,globus] ``` ### Installation from Source You can use `pip` to install `bdbag` directly from GitHub: ```sh sudo pip install git+https://github.com/fair-research/bdbag ``` or: ```sh pip install --user git+https://github.com/fair-research/bdbag ``` You can also [download](https://github.com/fair-research/bdbag/archive/master.zip) the current `bdbag` source code from GitHub or alternatively clone the source from GitHub if you have *git* installed: ```sh git clone https://github.com/fair-research/bdbag ``` From the root of the `bdbag` source code directory execute the following command: ```sh sudo pip install . ``` or: ```sh pip install --user . ``` Note that if you want to install the extra dependencies from a local source directory you would use the following command: ```sh pip install .[boto,globus] ``` ### Testing The unit tests can be run by invoking the following command from the root of the `bdbag` source code directory: ```sh python setup.py test ``` ### Usage This software can be used from the command-line environment by running the `bdbag` script. For detailed usage instructions, see the [CLI Guide](./doc/cli.md). ### Configuration Some components of the `bdbag` software can be configured via JSON-formatted configuration files. See the [Configuration Guide](./doc/config.md) for further details. ### Application Programming Interface It is also possible to use `bdbag` from within other Python programs via an API. See the [API Guide](./doc/api.md) for further details. ### Utilities A CLI utility module is provided for various ancillary tasks commonly involved with authoring **bdbags**. See the [Utility Guide](./doc/utils.md) for further details. ### Change Log The change log is located [here](CHANGELOG.md). %package -n python3-bdbag Summary: Big Data Bag Utilities Provides: python-bdbag BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-bdbag # bdbag [![Build Status](https://app.travis-ci.com/fair-research/bdbag.svg)](https://app.travis-ci.com/fair-research/bdbag) [![Coverage Status](https://coveralls.io/repos/github/fair-research/bdbag/badge.svg?branch=master)](https://coveralls.io/github/fair-research/bdbag?branch=master) [![PyPi Version](https://img.shields.io/pypi/v/bdbag.svg)](https://pypi.python.org/pypi/bdbag) [![PyPi Downloads](https://pepy.tech/badge/bdbag)](https://pepy.tech/project/bdbag) [![PyPi Wheel](https://img.shields.io/pypi/wheel/bdbag.svg)](https://pypi.python.org/pypi/bdbag) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/bdbag/badges/version.svg)](https://anaconda.org/conda-forge/bdbag) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/bdbag/badges/downloads.svg)](https://anaconda.org/conda-forge/bdbag) [![Python Versions](https://img.shields.io/pypi/pyversions/bdbag.svg)](https://pypi.python.org/pypi/bdbag) [![License](https://img.shields.io/pypi/l/bdbag.svg)](http://www.apache.org/licenses/LICENSE-2.0) ## Big Data Bag Utilities The `bdbag` utilities are a collection of software programs for working with [BagIt](https://datatracker.ietf.org/doc/draft-kunze-bagit/) packages that conform to the BDBag and Bagit/RO profiles. The `bdbag` [profiles](https://github.com/fair-research/bdbag/tree/master/profiles) specify the use of the `fetch.txt` file, require serialization, and specify what manifests must be provided with a `bdbag`. The `bdbag` utilities incorporate functions from various other Python-based `bagit` components (such as the [Bagit-Python](https://github.com/LibraryOfCongress/bagit-python) bag creation utility and the [Bagit-Profiles-Validator](https://github.com/ruebot/bagit-profiles) utility) and wraps them in a single, easy to use software package with additional features. Enhanced bag support includes: * Update-in-place functionality for existing bags. * Automatic archiving and extraction of bags using ZIP, TAR, and TGZ formats. * Automatic generation of file manifest entries and `fetch.txt` for remote files via configuration file. * Automatic file retrieval based on the contents of a bag's `fetch.txt` file with multiple protocol support. Transport handlers for `http(s)`,`ftp`,`s3`,`gs`, and `globus` are provided, along with an extensibility mechanism for adding externally developed transports. * Built-in `bagit-profile` validation. * Built-in support for creation of bags with [Bagit/RO profile](https://github.com/ResearchObject/bagit-ro) compatibility. An experimental Graphical User Interface (GUI) for `bdbag` can be found [here](https://github.com/fair-research/bdbag_gui). #### Technical Papers ["I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets"](https://zenodo.org/record/820878) explains the motivation for BDBags and the related Minid construct, provides details on design and implementation, and gives examples of use. ["Reproducible big data science: A case study in continuous FAIRness"](https://www.biorxiv.org/content/early/2018/02/27/268755) presents a data analysis use case in which BDBags and Minids are used to capture a transcription factor binding site analysis. ### Dependencies * [Python 2.7](https://www.python.org/downloads/release/python-27/) is the minimum Python version required. * The code and dependencies are also compatible with Python 3, versions 3.5 through 3.9. ### Installation The latest `bdbag` release is available on PyPi and can be installed using `pip`: ```sh pip install bdbag ``` Note that the above command will install `bdbag` with only the minimal dependencies required to run. If you wish to install `bdbag` with the extra fetch transport handler support provided by `boto` (for AWS S3) and `globus` (for Globus Transfer) packages, use the following command: ```sh pip install bdbag[boto,globus] ``` ### Installation from Source You can use `pip` to install `bdbag` directly from GitHub: ```sh sudo pip install git+https://github.com/fair-research/bdbag ``` or: ```sh pip install --user git+https://github.com/fair-research/bdbag ``` You can also [download](https://github.com/fair-research/bdbag/archive/master.zip) the current `bdbag` source code from GitHub or alternatively clone the source from GitHub if you have *git* installed: ```sh git clone https://github.com/fair-research/bdbag ``` From the root of the `bdbag` source code directory execute the following command: ```sh sudo pip install . ``` or: ```sh pip install --user . ``` Note that if you want to install the extra dependencies from a local source directory you would use the following command: ```sh pip install .[boto,globus] ``` ### Testing The unit tests can be run by invoking the following command from the root of the `bdbag` source code directory: ```sh python setup.py test ``` ### Usage This software can be used from the command-line environment by running the `bdbag` script. For detailed usage instructions, see the [CLI Guide](./doc/cli.md). ### Configuration Some components of the `bdbag` software can be configured via JSON-formatted configuration files. See the [Configuration Guide](./doc/config.md) for further details. ### Application Programming Interface It is also possible to use `bdbag` from within other Python programs via an API. See the [API Guide](./doc/api.md) for further details. ### Utilities A CLI utility module is provided for various ancillary tasks commonly involved with authoring **bdbags**. See the [Utility Guide](./doc/utils.md) for further details. ### Change Log The change log is located [here](CHANGELOG.md). %package help Summary: Development documents and examples for bdbag Provides: python3-bdbag-doc %description help # bdbag [![Build Status](https://app.travis-ci.com/fair-research/bdbag.svg)](https://app.travis-ci.com/fair-research/bdbag) [![Coverage Status](https://coveralls.io/repos/github/fair-research/bdbag/badge.svg?branch=master)](https://coveralls.io/github/fair-research/bdbag?branch=master) [![PyPi Version](https://img.shields.io/pypi/v/bdbag.svg)](https://pypi.python.org/pypi/bdbag) [![PyPi Downloads](https://pepy.tech/badge/bdbag)](https://pepy.tech/project/bdbag) [![PyPi Wheel](https://img.shields.io/pypi/wheel/bdbag.svg)](https://pypi.python.org/pypi/bdbag) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/bdbag/badges/version.svg)](https://anaconda.org/conda-forge/bdbag) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/bdbag/badges/downloads.svg)](https://anaconda.org/conda-forge/bdbag) [![Python Versions](https://img.shields.io/pypi/pyversions/bdbag.svg)](https://pypi.python.org/pypi/bdbag) [![License](https://img.shields.io/pypi/l/bdbag.svg)](http://www.apache.org/licenses/LICENSE-2.0) ## Big Data Bag Utilities The `bdbag` utilities are a collection of software programs for working with [BagIt](https://datatracker.ietf.org/doc/draft-kunze-bagit/) packages that conform to the BDBag and Bagit/RO profiles. The `bdbag` [profiles](https://github.com/fair-research/bdbag/tree/master/profiles) specify the use of the `fetch.txt` file, require serialization, and specify what manifests must be provided with a `bdbag`. The `bdbag` utilities incorporate functions from various other Python-based `bagit` components (such as the [Bagit-Python](https://github.com/LibraryOfCongress/bagit-python) bag creation utility and the [Bagit-Profiles-Validator](https://github.com/ruebot/bagit-profiles) utility) and wraps them in a single, easy to use software package with additional features. Enhanced bag support includes: * Update-in-place functionality for existing bags. * Automatic archiving and extraction of bags using ZIP, TAR, and TGZ formats. * Automatic generation of file manifest entries and `fetch.txt` for remote files via configuration file. * Automatic file retrieval based on the contents of a bag's `fetch.txt` file with multiple protocol support. Transport handlers for `http(s)`,`ftp`,`s3`,`gs`, and `globus` are provided, along with an extensibility mechanism for adding externally developed transports. * Built-in `bagit-profile` validation. * Built-in support for creation of bags with [Bagit/RO profile](https://github.com/ResearchObject/bagit-ro) compatibility. An experimental Graphical User Interface (GUI) for `bdbag` can be found [here](https://github.com/fair-research/bdbag_gui). #### Technical Papers ["I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets"](https://zenodo.org/record/820878) explains the motivation for BDBags and the related Minid construct, provides details on design and implementation, and gives examples of use. ["Reproducible big data science: A case study in continuous FAIRness"](https://www.biorxiv.org/content/early/2018/02/27/268755) presents a data analysis use case in which BDBags and Minids are used to capture a transcription factor binding site analysis. ### Dependencies * [Python 2.7](https://www.python.org/downloads/release/python-27/) is the minimum Python version required. * The code and dependencies are also compatible with Python 3, versions 3.5 through 3.9. ### Installation The latest `bdbag` release is available on PyPi and can be installed using `pip`: ```sh pip install bdbag ``` Note that the above command will install `bdbag` with only the minimal dependencies required to run. If you wish to install `bdbag` with the extra fetch transport handler support provided by `boto` (for AWS S3) and `globus` (for Globus Transfer) packages, use the following command: ```sh pip install bdbag[boto,globus] ``` ### Installation from Source You can use `pip` to install `bdbag` directly from GitHub: ```sh sudo pip install git+https://github.com/fair-research/bdbag ``` or: ```sh pip install --user git+https://github.com/fair-research/bdbag ``` You can also [download](https://github.com/fair-research/bdbag/archive/master.zip) the current `bdbag` source code from GitHub or alternatively clone the source from GitHub if you have *git* installed: ```sh git clone https://github.com/fair-research/bdbag ``` From the root of the `bdbag` source code directory execute the following command: ```sh sudo pip install . ``` or: ```sh pip install --user . ``` Note that if you want to install the extra dependencies from a local source directory you would use the following command: ```sh pip install .[boto,globus] ``` ### Testing The unit tests can be run by invoking the following command from the root of the `bdbag` source code directory: ```sh python setup.py test ``` ### Usage This software can be used from the command-line environment by running the `bdbag` script. For detailed usage instructions, see the [CLI Guide](./doc/cli.md). ### Configuration Some components of the `bdbag` software can be configured via JSON-formatted configuration files. See the [Configuration Guide](./doc/config.md) for further details. ### Application Programming Interface It is also possible to use `bdbag` from within other Python programs via an API. See the [API Guide](./doc/api.md) for further details. ### Utilities A CLI utility module is provided for various ancillary tasks commonly involved with authoring **bdbags**. See the [Utility Guide](./doc/utils.md) for further details. ### Change Log The change log is located [here](CHANGELOG.md). %prep %autosetup -n bdbag-1.6.4 %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-bdbag -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Apr 11 2023 Python_Bot - 1.6.4-1 - Package Spec generated