CLI Reference

Complete reference for all Shuttle CLI commands and options for Python projects.

Overview

The Shuttle CLI for Python is your primary interface for developing, deploying, and managing applications on the Shuttle platform. This reference provides comprehensive documentation for all commands and options.

Installation

It is recommended to use uv for dependency management and running the Shuttle CLI.

uv venv
source .venv/bin/activate
uv add shuttle-cobra

Once installed, you can invoke the Shuttle CLI using uv run -m shuttle. If your virtual environment is activated, you can also run commands directly using shuttle. For example:

uv run -m shuttle deploy
# OR
shuttle deploy

Global Options

These options are common to many command-line interfaces and may be supported by the underlying Python click framework, but are not explicitly defined or handled by the shuttle Python application's __main__.py for all cases.

Option
Description

--debug

Turn on tracing output for Shuttle libraries (WARNING: can print sensitive data)

Commands Reference

Project Management

Deployment

shuttle deploy

Provision, build, and deploy the application.

Arguments:

  • [PATH] - The path to your Shuttle project's root directory (defaults to current directory).

Examples:

shuttle destroy

Destroy the deployed stack and all associated resources for a project.

Arguments:

  • [PATH] - The path to your Shuttle project's root directory (defaults to current directory).

Examples:

Local Development

shuttle run

Run your Shuttle project locally.

Arguments:

  • [PATH] - The path to your Shuttle project's root directory (defaults to current directory).

Examples:

Logs

shuttle logs

Show logs from the deployed application.

Arguments:

  • [PATH] - The path to your Shuttle project's root directory (defaults to current directory).

Examples:

Environment Variables

The Shuttle Cobra CLI primarily relies on AWS authentication configured in your environment.

Variable
Description

AWS_ACCESS_KEY_ID

Your AWS access key ID. Used for programmatic access to AWS.

AWS_SECRET_ACCESS_KEY

Your AWS secret access key. Used in conjunction with AWS_ACCESS_KEY_ID.

AWS_SESSION_TOKEN

(Optional) The session token for temporary AWS credentials.

AWS_PROFILE

The name of the AWS profile to use from your AWS credentials file (~/.aws/credentials).

LOCALSTACK_AUTH_TOKEN

Used for testing with LocalStack; typically not needed for standard deployments.

You can configure your AWS credentials using aws configure or aws configure sso via the AWS CLI.

Configuration Files

pyproject.toml (and project structure)

Shuttle Cobra projects are standard Python projects, typically managed with pyproject.toml. Your application code, including @shuttle_task.cron decorated functions, resides within your project's Python source files (e.g., main.py or src/my_project/task.py).

Common Workflows

First Deployment

Development Cycle

Project Management

Debugging

Troubleshooting

Common Issues

AWS Authentication issues:

  • Ensure your AWS credentials are correctly configured via environment variables or ~/.aws/credentials.

  • Use aws configure or aws configure sso.

Local development issues:

  • Ensure you are in the correct virtual environment (source .venv/bin/activate).

  • Verify that your project path is correct (e.g., . for the current directory).

  • Check for FileNotFoundError if main.py or __main__.py is missing in your project root.

Deployment issues:

  • Check uv run -m shuttle logs for build or deployment errors.

  • Ensure all Python dependencies are specified in pyproject.toml and installed (uv add shuttle or uv sync as appropriate).

Getting Help

For additional support:

Last updated