%global _empty_manifest_terminate_build 0 Name: python-dbnd Version: 1.0.12.13 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/d4/21/2fcd505c6d35258d72aa37076d810c59f652ce75c1cc4ae35e9c6f85a2e5/dbnd-1.0.12.13.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 [![pipeline status](https://gitlab.com/databand-ai/dbnd/badges/master/pipeline.svg)](https://gitlab.com/databand-ai/dbnd/pipelines) ![PyPI - Downloads](https://img.shields.io/pypi/dm/dbnd) ![PyPI](https://img.shields.io/pypi/v/dbnd) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/dbnd) ![PyPI - License](https://img.shields.io/pypi/l/dbnd) ![Code style: ](https://img.shields.io/badge/code%20style-black-000000.svg) # 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 [![pipeline status](https://gitlab.com/databand-ai/dbnd/badges/master/pipeline.svg)](https://gitlab.com/databand-ai/dbnd/pipelines) ![PyPI - Downloads](https://img.shields.io/pypi/dm/dbnd) ![PyPI](https://img.shields.io/pypi/v/dbnd) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/dbnd) ![PyPI - License](https://img.shields.io/pypi/l/dbnd) ![Code style: ](https://img.shields.io/badge/code%20style-black-000000.svg) # 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 [![pipeline status](https://gitlab.com/databand-ai/dbnd/badges/master/pipeline.svg)](https://gitlab.com/databand-ai/dbnd/pipelines) ![PyPI - Downloads](https://img.shields.io/pypi/dm/dbnd) ![PyPI](https://img.shields.io/pypi/v/dbnd) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/dbnd) ![PyPI - License](https://img.shields.io/pypi/l/dbnd) ![Code style: ](https://img.shields.io/badge/code%20style-black-000000.svg) # 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-1.0.12.13 %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 * Sun Apr 23 2023 Python_Bot - 1.0.12.13-1 - Package Spec generated