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@@ -0,0 +1 @@ +/dbnd-1.0.12.12.tar.gz diff --git a/python-dbnd.spec b/python-dbnd.spec new file mode 100644 index 0000000..146b395 --- /dev/null +++ b/python-dbnd.spec @@ -0,0 +1,248 @@ +%global _empty_manifest_terminate_build 0 +Name: python-dbnd +Version: 1.0.12.12 +Release: 1 +Summary: Machine Learning Orchestration +License: Apache Software License +URL: https://github.com/databand-ai/dbnd +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/94/5e/fd2f9b732b11553c2b39aa543c81deb5d1fad960ecc967050a10828174b5/dbnd-1.0.12.12.tar.gz +BuildArch: noarch + +Requires: python3-tzlocal +Requires: python3-six +Requires: python3-more-itertools +Requires: python3-attrs +Requires: python3-pyyaml +Requires: python3-pytz +Requires: python3-pytzdata +Requires: python3-requests +Requires: python3-configparser +Requires: python3-pygments +Requires: python3-dateutil +Requires: python3-sqlparse +Requires: python3-Jinja2 +Requires: python3-typing +Requires: python3-colorama +Requires: python3-qtconsole +Requires: python3-nbconvert +Requires: python3-nbformat +Requires: python3-jupyter +Requires: python3-traitlets +Requires: python3-IPython +Requires: python3-jupyter-contrib-nbextensions +Requires: python3-openpyxl +Requires: python3-numpy +Requires: python3-pandas +Requires: python3-tables +Requires: python3-feather-format +Requires: python3-pyarrow +Requires: python3-scikit-learn +Requires: python3-matplotlib +Requires: python3-scikit-learn +Requires: python3-matplotlib +Requires: python3-coverage +Requires: python3-tox +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-mock +Requires: python3-wheel + +%description +[](https://gitlab.com/databand-ai/dbnd/pipelines) + +  +  + + +# DBND + +DBND an open source framework for building and tracking data pipelines. DBND is used for processes ranging from data ingestion, preparation, machine learning model training and production. + +DBND includes a Python library, set of APIs, and CLI that enables you to collect metadata from your workflows, create a system of record for runs, and easily orchestrate complex processes. + +DBND simplifies the process of building and running data pipelines +from dbnd import task + +```python +from dbnd import task + +@task +def say_hello(name: str = "databand.ai") -> str: + value = "Hello %s!" % name + return value +``` + +And makes it easy to track your critical pipeline metadata + +```python +from dbnd import log_metric, log_dataframe + +log_dataframe("my_dataset", my_dataset) +log_metric("r2", r2) +``` + +## Getting Started + +See our [documentation](https://docs.databand.ai/docs) with examples and quickstart guides to get up and running with DBND. + +## The Latest and Greatest + +For using DBND, we recommend that you work with a virtual environment like [Virtualenv](https://virtualenv.pypa.io/en/latest/) or [Conda](https://docs.conda.io/en/latest/). Update to the latest and greatest: + +```shell script +pip install dbnd +``` + +If you would like access to our latest features, or have any questions, feedback, or contributions we would love to here from you! Get in touch through contact@databand.ai + + +%package -n python3-dbnd +Summary: Machine Learning Orchestration +Provides: python-dbnd +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-dbnd +[](https://gitlab.com/databand-ai/dbnd/pipelines) + +  +  + + +# DBND + +DBND an open source framework for building and tracking data pipelines. DBND is used for processes ranging from data ingestion, preparation, machine learning model training and production. + +DBND includes a Python library, set of APIs, and CLI that enables you to collect metadata from your workflows, create a system of record for runs, and easily orchestrate complex processes. + +DBND simplifies the process of building and running data pipelines +from dbnd import task + +```python +from dbnd import task + +@task +def say_hello(name: str = "databand.ai") -> str: + value = "Hello %s!" % name + return value +``` + +And makes it easy to track your critical pipeline metadata + +```python +from dbnd import log_metric, log_dataframe + +log_dataframe("my_dataset", my_dataset) +log_metric("r2", r2) +``` + +## Getting Started + +See our [documentation](https://docs.databand.ai/docs) with examples and quickstart guides to get up and running with DBND. + +## The Latest and Greatest + +For using DBND, we recommend that you work with a virtual environment like [Virtualenv](https://virtualenv.pypa.io/en/latest/) or [Conda](https://docs.conda.io/en/latest/). Update to the latest and greatest: + +```shell script +pip install dbnd +``` + +If you would like access to our latest features, or have any questions, feedback, or contributions we would love to here from you! Get in touch through contact@databand.ai + + +%package help +Summary: Development documents and examples for dbnd +Provides: python3-dbnd-doc +%description help +[](https://gitlab.com/databand-ai/dbnd/pipelines) + +  +  + + +# DBND + +DBND an open source framework for building and tracking data pipelines. DBND is used for processes ranging from data ingestion, preparation, machine learning model training and production. + +DBND includes a Python library, set of APIs, and CLI that enables you to collect metadata from your workflows, create a system of record for runs, and easily orchestrate complex processes. + +DBND simplifies the process of building and running data pipelines +from dbnd import task + +```python +from dbnd import task + +@task +def say_hello(name: str = "databand.ai") -> str: + value = "Hello %s!" % name + return value +``` + +And makes it easy to track your critical pipeline metadata + +```python +from dbnd import log_metric, log_dataframe + +log_dataframe("my_dataset", my_dataset) +log_metric("r2", r2) +``` + +## Getting Started + +See our [documentation](https://docs.databand.ai/docs) with examples and quickstart guides to get up and running with DBND. + +## The Latest and Greatest + +For using DBND, we recommend that you work with a virtual environment like [Virtualenv](https://virtualenv.pypa.io/en/latest/) or [Conda](https://docs.conda.io/en/latest/). Update to the latest and greatest: + +```shell script +pip install dbnd +``` + +If you would like access to our latest features, or have any questions, feedback, or contributions we would love to here from you! Get in touch through contact@databand.ai + + +%prep +%autosetup -n dbnd-1.0.12.12 + +%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-dbnd -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.12.12-1 +- Package Spec generated @@ -0,0 +1 @@ +72e6b7c76680f5acdae365aba04658c9 dbnd-1.0.12.12.tar.gz |