Metadata-Version: 2.4
Name: amzn_sagemaker_aiops_jupyterlab_extension
Version: 1.0.3
Dynamic: Keywords
Summary: SageMaker AI Ops JupyterLab workspace primary extension module
Project-URL: Homepage, https://aws.amazon.com/sagemaker/
Author: Amazon
License-Expression: Apache-2.0
License-File: LICENSE
Classifier: Framework :: Jupyter
Classifier: Framework :: Jupyter :: JupyterLab
Classifier: Framework :: Jupyter :: JupyterLab :: 4
Classifier: Framework :: Jupyter :: JupyterLab :: Extensions
Classifier: Framework :: Jupyter :: JupyterLab :: Extensions :: Prebuilt
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.8
Requires-Dist: aiobotocore>=2.7.0
Requires-Dist: async-lru
Requires-Dist: aws-embedded-metrics
Requires-Dist: jupyter-events>=0.6.0
Requires-Dist: jupyterlab>=4
Requires-Dist: nbformat>=5.9.2
Requires-Dist: pydantic<3,>=1.10.17
Requires-Dist: y-py<0.7.0,>=0.6.0
Requires-Dist: ypy-websocket>=0.12.0
Provides-Extra: all
Requires-Dist: black; extra == 'all'
Requires-Dist: build; extra == 'all'
Requires-Dist: pytest-cov; extra == 'all'
Requires-Dist: pytest-jupyter; extra == 'all'
Requires-Dist: pytest>=6; extra == 'all'
Requires-Dist: twine; extra == 'all'
Provides-Extra: dev
Requires-Dist: black; extra == 'dev'
Requires-Dist: build; extra == 'dev'
Requires-Dist: twine; extra == 'dev'
Provides-Extra: test
Requires-Dist: pytest-cov; extra == 'test'
Requires-Dist: pytest-jupyter; extra == 'test'
Requires-Dist: pytest>=6; extra == 'test'
Description-Content-Type: text/markdown

# amzn_sagemaker_aiops_jupyterlab_extension:

This package includes the JupyterLab extension built by SageMaker AIOps team that includes Sagemaker Pipelines Output feature.

## Requirements
* JupyterLab >= 4
* async-lru
* aws_embedded_metrics

## Installing the extension
To install the extension within local Jupyter environment, a Docker image/container or in SageMaker Studio, run:
```
pip install amzn_sagemaker_aiops_jupyterlab_extension-<version>-py3-none-any.whl`
```

## Uninstalling the extension
To uninstall this extension, run:
```
pip uninstall amzn_sagemaker_aiops_jupyterlab_extension`
```

## Troubleshooting
If you are seeing the frontend extension, but it is not working, check that the server extension is enabled:

```
jupyter serverextension list
```

If the server extension is installed and enabled, but you are not seeing the frontend extension, check the frontend extension is installed:
```
jupyter labextension list
```

If the frontend extension is installed and enabled, open Browser console and see if there are any JavaScript error that is related to the extension in Browser console.

## See DEVELOPING.md for more instructions on dev setup and contributing guidelines
