Emily CLI Documentation

Release-v3.0.6

Emily combines the powers of Python and Docker to build stable and consistent machine learning and datascience python environments. Emily is useful for large cross-team project development as well as for simply running a single jupyter notebook or python script.

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$ emily deployment add [options]

Add a deployment specification to your project.

$ emily deployment add

? Emily: Choose a project(Use arrow keys, confirm with ENTER) … > M9VHKD - my-project
AB82JD - movie-recommender · M9VHKD - my-project
√ Emily: Please enter a deployment name:
· production? Emily: Please select a configuration(Use arrow keys, confirm with ENTER) … > nginx-reverse-proxy
+ Add new configuration · nginx-reverse-proxy
? Emily: Please select an environment(Use arrow keys, confirm with ENTER) … > prod
+ Add new environment · prod
? Emily: Please select the type of deployment to create a specification for(Use arrow keys, confirm with ENTER) …
Local - deploy on your local system> Server - deploy to a server with SSH access
Kubernetes - deploy to a Kubernetes cluster · Server

Adding Emily Deployment Specifications

Run emily deployment add to add a deployment specification to your project. The user is prompted to select a specific deployment type - see the documentation for each subcommand for comprehensive descriptions of each.

    Options

  • -h,--help

    Display help for command

  • -n,--name<name>

    The name of the deployment specification.

  • -c,--configuration<name>

    Default configuration to use in this deployment.

  • -e,--environment<name>

    Default environment to use in this deployment.

  • -p,--project<project>

    The project to manage deployment specifications for.

  • -s,--silent

    Execute Emily silently. (default: false)

  • -u,--update(--no-update)

    Prompt for update if newer version found. (default: true)

  • -vb,--verbose

    Print detailed information while running commands.