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authorCoprDistGit <infra@openeuler.org>2023-04-11 22:28:20 +0000
committerCoprDistGit <infra@openeuler.org>2023-04-11 22:28:20 +0000
commitb2748596f5fe91c8f73559b37bf859a2cc290ee8 (patch)
tree494991eeab7ffefc76133758ea96237f136f3fc5
parent77964e19a3a02be7ecdea0b6bfd4260e3597b0a7 (diff)
automatic import of python-bdbag
-rw-r--r--.gitignore1
-rw-r--r--python-bdbag.spec454
-rw-r--r--sources1
3 files changed, 456 insertions, 0 deletions
diff --git a/.gitignore b/.gitignore
index e69de29..8a6cb86 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/bdbag-1.6.4.tar.gz
diff --git a/python-bdbag.spec b/python-bdbag.spec
new file mode 100644
index 0000000..9dcdc10
--- /dev/null
+++ b/python-bdbag.spec
@@ -0,0 +1,454 @@
+%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 <Python_Bot@openeuler.org> - 1.6.4-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..e456f32
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+852858a3e59dd0e48ea54ee3d1e8a55e bdbag-1.6.4.tar.gz