Emily CLI Documentation

Release-v3.1.0

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 environment update [options]

Partially update your environment variables. All options will take the current environment as their default value unless explicitly specified.

$ emily environment update
--workers 8

? Emily: Choose a project(Use arrow keys, confirm with ENTER) … > M9VHKD - my-project
AB82JD - movie-recommender · M9VHKD - my-project
? Emily: Please select an environment(Use arrow keys, confirm with ENTER) …
dev> staging
prod · staging
Emily: Environment "staging" updated in project my-project (M9VHKD):

Changed:
- /my/projects/my-project/environments/staging/.emily.env

$ emily environment update
--port 4444

Updating environments

Existing environments can be updated with the emily environment update command. This is useful for easily changing complex environment configurations, e.g. changing the port to be used in a given environment.

Only the provided flags will be used to overwrite the existing .emily.env file. If a flag is not provided, the related variables in .emily.env will remain unchanged.

    Options

  • -h,--help

    Display help for command

  • -n,--name<name>

    The name of the environment

  • -po,--port<port>

    The port assigned in this environment

  • -ho,--host<host>

    The host the API listens on in this environment

  • -w,--workers<n>

    The number of workers to run in parallel in this environment

  • -p,--project<project>

    The project to manage environments 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.