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%global _empty_manifest_terminate_build 0
Name: python-azure-databricks-api
Version: 0.6.2
Release: 1
Summary: A wrapper for the Azure Databricks REST API
License: MIT
URL: http://github.com/ezwiefel/azure-databricks-api
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/58/0c/27ec7e19163133e146373b960e2a1507800f88bf1e013a6c392a6d688a53/azure-databricks-api-0.6.2.tar.gz
BuildArch: noarch
Requires: python3-requests
%description
# Azure Databricks API Wrapper
A Python, object-oriented wrapper for the [Azure Databricks REST API 2.0](https://docs.azuredatabricks.net/api/latest/index.html)
[](https://github.com/ezwiefel/azure-databricks-api/actions?query=workflow%3A%22Unit+Tests%22)
[](https://coveralls.io/github/ezwiefel/azure-databricks-api)
[](https://pypi.org/project/azure-databricks-api/)
[](https://pypi.org/project/azure-databricks-api/)
[](https://github.com/ezwiefel/azure-databricks-api/blob/main/LICENSE)
### Installation
This package is pip installable.
```bash
pip install azure-databricks-api
```
### Implemented APIs
As of June 25th, 2020 there are 12 different services available in the Azure Databricks API. Currently, the following services are supported by the Azure Databricks API Wrapper.
* [x] Clusters
* [ ] Cluster Policies _(Preview)_
* [x] DBFS
* [x] Groups _(Must be Databricks admin)_
* [ ] Instance Pools
* [ ] Jobs
* [X] Libraries
* [ ] MLflow
* [ ] SCIM _(Preview)_
* [ ] Secrets
* [x] Token
* [x] Workspace
### Client Instantiation
To create the client object, you pass the Azure region your workspace is located in and the [generated Personal Access Token](https://docs.databricks.com/api/latest/authentication.html#generate-a-token)
```python
from azure_databricks_api import AzureDatabricksRESTClient
azure_region = '[INSERT YOUR AZURE REGION HERE]'
token = '[INSERT YOUR PERSONAL ACCESS TOKEN]'
client = AzureDatabricksRESTClient(region=azure_region, token=token)
```
### Clusters Client Usage
The services above are implemented as children objects of the client. For example, to pin a cluster, you can either pass the `cluster_name` or `cluster_id` to the `pin()` method:
```python
client.clusters.pin(cluster_name='test_cluster_name')
```
The other services are implemented similarly. (e.g. `client.tokens` or `client.groups`)
%package -n python3-azure-databricks-api
Summary: A wrapper for the Azure Databricks REST API
Provides: python-azure-databricks-api
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-azure-databricks-api
# Azure Databricks API Wrapper
A Python, object-oriented wrapper for the [Azure Databricks REST API 2.0](https://docs.azuredatabricks.net/api/latest/index.html)
[](https://github.com/ezwiefel/azure-databricks-api/actions?query=workflow%3A%22Unit+Tests%22)
[](https://coveralls.io/github/ezwiefel/azure-databricks-api)
[](https://pypi.org/project/azure-databricks-api/)
[](https://pypi.org/project/azure-databricks-api/)
[](https://github.com/ezwiefel/azure-databricks-api/blob/main/LICENSE)
### Installation
This package is pip installable.
```bash
pip install azure-databricks-api
```
### Implemented APIs
As of June 25th, 2020 there are 12 different services available in the Azure Databricks API. Currently, the following services are supported by the Azure Databricks API Wrapper.
* [x] Clusters
* [ ] Cluster Policies _(Preview)_
* [x] DBFS
* [x] Groups _(Must be Databricks admin)_
* [ ] Instance Pools
* [ ] Jobs
* [X] Libraries
* [ ] MLflow
* [ ] SCIM _(Preview)_
* [ ] Secrets
* [x] Token
* [x] Workspace
### Client Instantiation
To create the client object, you pass the Azure region your workspace is located in and the [generated Personal Access Token](https://docs.databricks.com/api/latest/authentication.html#generate-a-token)
```python
from azure_databricks_api import AzureDatabricksRESTClient
azure_region = '[INSERT YOUR AZURE REGION HERE]'
token = '[INSERT YOUR PERSONAL ACCESS TOKEN]'
client = AzureDatabricksRESTClient(region=azure_region, token=token)
```
### Clusters Client Usage
The services above are implemented as children objects of the client. For example, to pin a cluster, you can either pass the `cluster_name` or `cluster_id` to the `pin()` method:
```python
client.clusters.pin(cluster_name='test_cluster_name')
```
The other services are implemented similarly. (e.g. `client.tokens` or `client.groups`)
%package help
Summary: Development documents and examples for azure-databricks-api
Provides: python3-azure-databricks-api-doc
%description help
# Azure Databricks API Wrapper
A Python, object-oriented wrapper for the [Azure Databricks REST API 2.0](https://docs.azuredatabricks.net/api/latest/index.html)
[](https://github.com/ezwiefel/azure-databricks-api/actions?query=workflow%3A%22Unit+Tests%22)
[](https://coveralls.io/github/ezwiefel/azure-databricks-api)
[](https://pypi.org/project/azure-databricks-api/)
[](https://pypi.org/project/azure-databricks-api/)
[](https://github.com/ezwiefel/azure-databricks-api/blob/main/LICENSE)
### Installation
This package is pip installable.
```bash
pip install azure-databricks-api
```
### Implemented APIs
As of June 25th, 2020 there are 12 different services available in the Azure Databricks API. Currently, the following services are supported by the Azure Databricks API Wrapper.
* [x] Clusters
* [ ] Cluster Policies _(Preview)_
* [x] DBFS
* [x] Groups _(Must be Databricks admin)_
* [ ] Instance Pools
* [ ] Jobs
* [X] Libraries
* [ ] MLflow
* [ ] SCIM _(Preview)_
* [ ] Secrets
* [x] Token
* [x] Workspace
### Client Instantiation
To create the client object, you pass the Azure region your workspace is located in and the [generated Personal Access Token](https://docs.databricks.com/api/latest/authentication.html#generate-a-token)
```python
from azure_databricks_api import AzureDatabricksRESTClient
azure_region = '[INSERT YOUR AZURE REGION HERE]'
token = '[INSERT YOUR PERSONAL ACCESS TOKEN]'
client = AzureDatabricksRESTClient(region=azure_region, token=token)
```
### Clusters Client Usage
The services above are implemented as children objects of the client. For example, to pin a cluster, you can either pass the `cluster_name` or `cluster_id` to the `pin()` method:
```python
client.clusters.pin(cluster_name='test_cluster_name')
```
The other services are implemented similarly. (e.g. `client.tokens` or `client.groups`)
%prep
%autosetup -n azure-databricks-api-0.6.2
%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-azure-databricks-api -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.2-1
- Package Spec generated
|
