A S3 backed ContentsManager implementation for Jupyter.
It aims to a be a transparent, drop-in replacement for Jupyter standard filesystem-backed storage system. With this implementation of a Jupyter Contents Manager you can save all your notebooks, regular file, directories structure directly to an S3 bucket, this could be on AWS or a self hosted S3 like minio.
While there is some implementations of this functionality already available online [2, 3] I wasn't able to make them work in a newer Jupyter installation. This aims to be a better tested one by being highly based on the nice PGContents.
Write access (valid credentials) to an S3 bucket, this could be on AWS or a self hosted S3 like minio.
$ pip install s3contents
Configure Jupyter to use s3contents as its storage backend.
Edit ~/.jupyter/jupyter_notebook_config.py by filling the missing values:
from s3contents import S3ContentsManager
c = get_config()
# Tell Jupyter to use S3ContentsManager for all storage.
c.NotebookApp.contents_manager_class = S3ContentsManager
c.S3ContentsManager.access_key_id = ""
c.S3ContentsManager.secret_access_key = ""
c.S3ContentsManager.bucket_name = ""Example for play.minio.io:9000:
from s3contents import S3ContentsManager
c = get_config()
# Tell Jupyter to use S3ContentsManager for all storage.
c.NotebookApp.contents_manager_class = S3ContentsManager
c.S3ContentsManager.access_key_id = "Q3AM3UQ867SPQQA43P2F"
c.S3ContentsManager.secret_access_key = "zuf+tfteSlswRu7BJ86wekitnifILbZam1KYY3TG"
c.S3ContentsManager.bucket_name = "danielfrg"
c.S3ContentsManager.endpoint_url = "http://play.minio.io:9000"