Jupyter Notebook Manager for Cortx
Project description
# Cortx Jupyter Integration
### Jupyter Notebook Integration for Cortx Object Storage.
Built for [Seagate Cortx Hackathon 2021](https://seagate-cortx-hackathon.devpost.com/)
No more losing precious work because you forgot to save changes or no more worrying about local filesystem crashes or paying exorbitant subscription fees for Premium features of Hosted Jupyter Notebooks. Cortx Jupyter is here to save you from all these! Cortx Jupyter is an Open Source python package which combines the power of Cortx and Jupyter Notebooks to empower you to store all of your Jupyter Notebooks, Checkpoints and Data Files on Cortx Object Storage instead of Jupyter’s standard filesystem-backed storage.
When you opt to use a plain Jupyter notebook as your development environment, everything is saved in your local machine. If you want your Jupyter notebooks to be accessible to you from anywhere or any device, then Cortx Jupyter Integration is the way to go. All of your Jupyter notebooks, checkpoints and data files are saved in your Cortx Object Storage, so that you can access it from anywhere on the go.
Cortx Jupyter Integration can be used by developers and organizations who want a central repository of Notebooks, Checkpoints and Files. This feature can help multiple developers across an organization to collaborate with each other. Cortx Jupyter Integration integration periodically saves updates to your notebook as checkpoints to Cortx Object Storage so that you can either revert to a previous checkpoint or your colleague can continue working on the Jupyter Notebook from where you left.
You don’t have to worry about having notebooks and data saved in different places. With Cortx Jupyter, you can have them together on CORTX: World’s Only 100% Open Source Mass-Capacity Optimized Object Store. Now, you can concentrate on Machine Learning while Cortx Jupyter does the boring work of saving and tracking your work.
## Prerequisites
### Setup Cortx
Use the instructions at the following link to setup CORTX:
https://github.com/Seagate/cortx/blob/main/QUICK_START.md
## Setup Instructions
### 1. Installation
Install the Cortx Jupyter python package using the following command:
pip install cortx-jupyter
You can find the package on [pypi.org](https://pypi.org/project/cortx-jupyter/)
### 2. Add Jupyter Config
Configure Jupyter to use Cortx Jupyter for its storage backend. This can be done by modifying your notebook config file. On a Unix-like system, your Jupyter Notebook config will be located at ~/.jupyter/jupyter_notebook_config.py
NOTE: If you can’t find this config file on your machine, you can create this file using the following command in terminal:
jupyter notebook –generate-config
Now, edit the ~/.jupyter/jupyter_notebook_config.py file.
NOTE: Please remember to replace credentials(access_key_id , secret_access_key) and endpoint_url with credentials of your Cortx environment.
import cortx_jupyter from cortx_jupyter import CortxJupyter, CortxAuthenticator
c = get_config()
c.NotebookApp.contents_manager_class = CortxJupyter c.CortxJupyter.authentication_class = CortxAuthenticator
c.CortxAuthenticator.access_key_id = “YOUR_ACCESS_KEY_ID” c.CortxAuthenticator.secret_access_key = “YOUR_SECRET_ACCESS_KEY” c.CortxJupyter.endpoint_url = “http://uvo1ettj69aisne19p9.vm.cld.sr” c.CortxJupyter.bucket_name = “testbucket” c.CortxJupyter.prefix = “notebooks/test/”
#### Following Configuration options are available on CortxAuthenticator
access_key_id (required) secret_access_key (required)
You can get these credentials
#### Following Configuration options are available on CortxJupyter
endpoint_url`*(required)* - Endpoint URL of your Cortx instance. Example: ```http://uvo1ettj69aisne19p9.vm.cld.sr``
bucket_name`*(required)* - Cortx Bucket Name where you want to store your notebook. Example: ```testbucket``
prefix`*(required)* - Path in the bucket where you want to store your notebook. Example: ```notebooks/test/``
## How we built it?
Cortx
S3 API
Python
Python Package Index
Jupyter
boto3
tornado
## Demo Video
Watch the video to learn more about the project.
## Contributors:
[Sumanth Reddy Muni](https://www.linkedin.com/in/sumanthmuni/) [Priyadarshini Murugan](https://www.linkedin.com/in/priya-murugan/)
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