/kəˈmyo͞odər/ a person who travels some distance to work on a regular basis.
As commuters, we rush around from place to place all day. We go to work,
school, and stores. We travel to locations near and far. Eventually, we
return to our cozy home. 🚗 🏢
Like commuters, our data travels around too. Sometimes we need a notebook at work and other times at a client's site. Wherever and whenever you need your notebooks, commuter has you covered.
As an opinionated nteract focused server, commuter reads notebooks from a local directory or Amazon S3, has a directory explorer to find notebooks, and provides a jupyter compatible version of the contents API. You determine where your notebooks should reside and where they should be shared. Flexibility and convenience.
Try commuter today and take your notebooks wherever you need them.
You may use whichever package manager (npm
or yarn
) best suits your workflow. The nteract
team internally uses yarn
.
npm install @nteract/commuter -g
# OR
yarn global add @nteract/commuter
Configure and run commuter with environment variables and commuter server
.
Example local run (using a network file share!):
COMMUTER_LOCAL_STORAGE_BASEDIRECTORY=/efs/users/ commuter
Example S3 run:
COMMUTER_BUCKET=sweet-notebooks commuter
Environment Variable | Description | Default |
---|---|---|
COMMUTER_STORAGE_BACKEND |
local , s3 , or gcs |
local |
COMMUTER_DISCOVERY_BACKEND |
either elasticsearch or none | "none" |
COMMUTER_PORT |
Port to run commuter on | 4000 |
COMMUTER_LOCAL_STORAGE_BASEDIRECTORY |
directory to serve in local storage mode | process.cwd() |
COMMUTER_ES_HOST |
ElasticSearch Host | "" |
Environment Variable | Description | Default |
---|---|---|
COMMUTER_S3_BASE_PREFIX |
prefix on the bucket, similar to base directory | "" |
COMMUTER_S3_PATH_DELIMITER |
separator for "paths" | "/" |
COMMUTER_BUCKET |
bucket contents served from | Required in S3 mode, no default |
COMMUTER_S3_KEY |
AWS Key | Optional, uses IAM roles or ~/.aws/credentials otherwise |
COMMUTER_S3_SECRET |
AWS Secret | Optional, uses IAM roles or ~/.aws/credentials otherwise |
COMMUTER_S3_ENDPOINT |
S3 endpoint | Optional, selected automatically |
COMMUTER_S3_FORCE_PATH_STYLE |
Set to true to activate s3ForcePathStyle . Forces path-style URLs for s3 objects, therefore URLs will be in the form <endpoint>/<bucket>/<key> instead of <bucket>.<endpoint>/<key> |
false |
Environment Variable | Description | Default |
---|---|---|
GOOGLE_APPLICATION_CREDENTIALS |
file path of the JSON file that contains your service account key | "" |
COMMUTER_BUCKET |
GCS bucket name without "gs://" prefix | Required |
COMMUTER_GCS_PATH_DELIMITER |
separator for "paths" | "/" |
COMMUTER_GCS_BASE_PREFIX |
prefix on the bucket, similar to base directory | "" |
git clone [email protected]:nteract/commuter.git
cd commuter
yarn
yarn dev
- open
http://localhost:4000
A Dockerfile for a local dev server can be use as follows:
docker build --tag commuter:dev --file Dockerfile.dev .
- Run this:
docker run \ --init \ --interactive \ --tty \ --rm \ --publish 4000:4000 \ --mount type=bind,source=(pwd),target=/app \ --env COMMUTER_LOCAL_STORAGE_BASEDIRECTORY=/app/examples \ commuter:dev
There are three ways you can run tests:
- If you have your environment set up, you can run tests locally via
yarn test
. - This repository is also set up with GitHub Actions, a builtin CI system, which will automatically trigger test builds for multiple Node versions upon every push into this repository. You can then check out the results in the Actions tab.
- These GitHub Actions can be triggered locally using act, this way you don't have to have your JavaScript environment set up and you don't have to commit and push in order to run the tests remotely through GitHub.
- Install commuter cli
yarn add @nteract/commuter
exec commuter
- the service is typically wrapped inside daemontools
A Dockerfile
intended for Production use (suitable for Kubernetes or other container runtime) has
been contributed. Instructions are below.
Note: there is no officially published Docker image at this time, you should publish it to your own image registry.
- Build and tag image
docker build --tag commuter:latest .
- Image can be executed as follows:
docker run \ --publish 4000:4000 \ --mount type=bind,source=/home/username/work/commuter/examples,target=/examples \ --env COMMUTER_LOCAL_STORAGE_BASEDIRECTORY=/examples \ commuter:latest