Skip to main content

Ensure specific tables and views exist on startup

Project description

datasette-init

PyPI Changelog License

Ensure specific tables and views exist on startup

Installation

Install this plugin in the same environment as Datasette.

$ pip install datasette-init

Usage

This plugin is configured using metadata.json (or metadata.yaml). Add a block like this that specifies the tables you would like to ensure exist:

{
  "plugins": {
    "datasette-init": {
      "my_database": {
        "tables": {
          "dogs": {
            "columns": {
              "id": "integer",
              "name": "text",
              "age": "integer",
              "weight": "float",
            },
            "pk": "id"
          }
        }
      }
    }
  }
}

Any tables that do not create will be created when Datasette first starts.

Valid column types are "integer", "text", "float" and "blob". The "pk" is optional.

Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

cd datasette-init
python3 -mvenv venv
source venv/bin/activate

Or if you are using pipenv:

pipenv shell

Now install the dependencies and tests:

pip install -e '.[test]'

To run the tests:

pytest

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datasette-init-0.1a0.tar.gz (2.6 kB view hashes)

Uploaded Source

Built Distribution

datasette_init-0.1a0-py3-none-any.whl (2.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page