diff options
| author | CoprDistGit <infra@openeuler.org> | 2023-04-10 19:37:54 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-04-10 19:37:54 +0000 |
| commit | f8a7b5c688357f988669e399730688384f7a906f (patch) | |
| tree | e423bcb94803daf8a849b4eec076c3295b440d97 | |
| parent | 655405beb73604629415cbc632679b3a1213743e (diff) | |
automatic import of python-databand
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-databand.spec | 230 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 232 insertions, 0 deletions
@@ -0,0 +1 @@ +/databand-1.0.12.12.tar.gz diff --git a/python-databand.spec b/python-databand.spec new file mode 100644 index 0000000..6f818ca --- /dev/null +++ b/python-databand.spec @@ -0,0 +1,230 @@ +%global _empty_manifest_terminate_build 0 +Name: python-databand +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/2a/b5/a45998bc15f9eb9cddf2e692889e13967c3e89f05bb4595d067316503bf3/databand-1.0.12.12.tar.gz +BuildArch: noarch + +Requires: python3-dbnd +Requires: python3-dbnd-airflow +Requires: python3-dbnd-airflow-auto-tracking +Requires: python3-dbnd-airflow-export +Requires: python3-dbnd-airflow-versioned-dag +Requires: python3-dbnd-aws +Requires: python3-dbnd-azure +Requires: python3-dbnd-databricks +Requires: python3-dbnd-docker +Requires: python3-dbnd-gcp +Requires: python3-dbnd-hdfs +Requires: python3-dbnd-docker +Requires: python3-dbnd-luigi +Requires: python3-dbnd-mlflow +Requires: python3-dbnd-postgres +Requires: python3-dbnd-qubole +Requires: python3-dbnd-redshift +Requires: python3-dbnd-snowflake +Requires: python3-dbnd-spark +Requires: python3-dbnd-tensorflow + +%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-databand +Summary: Machine Learning Orchestration +Provides: python-databand +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-databand +[](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 databand +Provides: python3-databand-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 databand-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-databand -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 @@ +c9c689ffaeb88e7021440bab96f4c1a2 databand-1.0.12.12.tar.gz |