Run your Astro project in a local Airflow environment with the CLI

Running Airflow locally with the Astro CLI can be an easy way to preview and debug DAG changes quickly before deploying your code to Astro. By locally running your DAGs, you can fix issues with your DAGs without consuming infrastructure resources or waiting on code deploy processes.

This document explains how to use the Astro CLI to start a local Airflow environment on your computer and interact with your Astro project. To learn more about unit testing for your DAGs or testing project dependencies when changing Python or Astro Runtime versions, see Test your project locally.

You can find common issues and resolutions in the troubleshoot a local environment section.

Start a local Airflow environment​

To begin running your project in a local Airflow environment, run:

astro dev start

This command builds your project and spins up 4 containers on your machine, each for a different Airflow component. After the command completes, you can access your project's Airflow UI at https://localhost:8080/.

Restart a local Airflow environment​

Restarting your Airflow environment rebuilds your image and restarts the Docker containers running on your local machine with the new image. Restart your environment to apply changes from specific files in your project, or to troubleshoot issues that occur when your project is running.

To restart your local Airflow environment, run:

astro dev restart

Alternatively, you can run astro dev stop to stop your Docker containers without restarting your environment, then run astro dev start when you want to restart.

Stop a local Airflow environment​

Run the following command to pause all Docker containers and stop running your local Airflow environment.

astro dev stop

Unlike astro dev kill, this command does not prune mounted volumes and delete data associated with your local Postgres database. If you run this command, Airflow connections and task history will be preserved.

Use this command when you're finished testing Airflow and you want to stop running its components locally.

View Airflow component logs​

You can use the Astro CLI to view logs for your local Airflow environment's webserver, scheduler, and triggerer. This is useful if you want to troubleshoot a specific task instance, or if your local environment does not run properly after a code change.

To view component logs in a local Airflow environment, run:

astro dev logs

See the Astro CLI reference guide for more details and options.

Apply changes to a running project​

If you update DAG code for an Astro project that's currently running locally, the Astro CLI automatically applies your changes to your environment. However, to update other files, you must restart your environment to apply your changes.

Specifically, you must restart your environment to apply changes for any of the following files:

• packages.txt
• Dockerfile
• requirements.txt
• airflow_settings.yaml

To restart your local Airflow environment, run:

astro dev restart

Run Airflow CLI commands​

To run Apache Airflow CLI commands locally, run the following:

astro dev run <airflow-cli-command>

For example, the Airflow CLI command for listing connections is airflow connections list. To run this command with the Astro CLI, you would run astro dev run connections list instead.

astro dev run is the equivalent of running docker exec in local containers and then running an Airflow CLI command within those containers.

Make requests to the Airflow REST API locally​

Make requests to the Airflow REST API in a local Airflow environment with HTTP basic access authentication. This can be useful for testing and troubleshooting API calls before executing them in a Deployment on Astro.

To make local requests with cURL or Python, you only need the username and password for your local user. Both of these values are admin by default. They are the same credentials for logging into the Airflow UI, and they're listed when you run astro dev start.

To make requests to the Airflow REST API in a Deployment on Astro, see Airflow API.

cURL​

curl -X GET localhost:8080/api/v1/<endpoint> --user "admin:admin"

Python​

import requests

response = requests.get(
   url="http://localhost:8080/api/v1/<endpoint>",
   auth=("admin", "admin")
)

Hard reset your local environment​

In most cases, restarting your local project is sufficient for testing and making changes to your project. However, it is sometimes necessary to kill your Docker containers and metadata database for testing purposes. To do so, run the following command:

astro dev kill

This command forces your running containers to stop and deletes all data associated with your local Postgres metadata database, including Airflow connections, logs, and task history.

Override the Astro CLI Docker Compose file​

The Astro CLI uses a default set of Docker Compose configurations to define and run local Airflow components. For advanced testing cases, you might need to override these default configurations. For example, you might need to:

• Add extra containers to mimic services that your Airflow environment needs to interact with locally, such as an SFTP server.
• Change the volumes mounted to any of your local containers.

1. Reference the Astro CLI's default Docker Compose file (composeyml.yml) and determine one or more configurations to override.
2. Add a docker-compose.override.yml file at the top level of your Astro project.
3. Specify your new configuration values in docker-compose.override.yml file using the same format as in composeyml.yml.

For example, to add another volume mount for a directory named custom_dependencies, add the following to your docker-compose.override.yml file:

version: "3.1"
services:
  scheduler:
    volumes:
      - /home/astronomer_project/custom_dependencies:/usr/local/airflow/custom_dependencies:ro

Make sure to specify version: "3.1" and follow the format of the source code file linked above.

Run the following command to see the override file in your scheduler container:

astro dev bash --scheduler "ls -al"