NGINX Unit

Datasette§

To run the Datasette data exploration tool using Unit:

  1. Install Unit with a Python 3.6+ language module.

  2. Create a virtual environment to install Datasette’s PIP package:

    $ cd /path/to/app/
    $ python3 --version
          Python 3.Y.Z
    $ python3 -m venv venv
    $ source venv/bin/activate
    $ pip install datasette
    $ deactivate
    

    Warning

    Create your virtual environment with a Python version that matches the language module from Step 1 up to the minor number (3.Y in this example). Also, the app type in Step 5 must resolve to a similarly matching version; Unit doesn’t infer it from the environment.

  3. Running Datasette on Unit requires a wrapper to expose the application object as the ASGI callable. Let’s use the following basic version, saving it as /path/to/app/asgi.py:

    import glob
    from datasette.app import Datasette
    
    application = Datasette(glob.glob('*.db')).app()
    
  4. Run the following command so Unit can access the application directory:

    # chown -R unit:unit /path/to/app/
    

    Note

    The unit:unit user-group pair is available only with official packages, Docker images, and some third-party repos. Otherwise, account names may differ; run the ps aux | grep unitd command to be sure.

    For further details, including permissions, see the security checklist.

  5. Next, prepare the Datasette configuration for Unit (use real values for type, home, and path):

    {
        "listeners": {
            "*:80": {
                "pass": "applications/datasette"
            }
        },
    
        "applications": {
            "datasette": {
                "type": "python 3.Y",
                "path": "/path/to/app/",
                "home": "/path/to/app/venv/",
                "module": "asgi",
                "callable": "app"
            }
        }
    }
    
  6. Upload the updated configuration. Assuming the JSON above was added to config.json:

    # curl -X PUT --data-binary @config.json --unix-socket \
           /path/to/control.unit.sock http://localhost/config/
    

    Note

    The control socket path may vary; run unitd -h or see Startup and Shutdown for details.

    After a successful update, Datasette should be available on the listener’s IP address and port:

    Datasette on Unit - Query Screen