Configuration

You need to add some configuration to your Datasette metadata.json file for this plugin to take effect.

To whitelist specific domains, use this:

{
    ""plugins"": {
        ""datasette-cors"": {
            ""hosts"": [""https://www.example.com""]
        }
    }
}

You can also whitelist patterns like this:

{
    ""plugins"": {
        ""datasette-cors"": {
            ""host_wildcards"": [""https://*.example.com""]
        }
    }
}

Testing it

To test this plugin out, run it locally by saving one of the above examples as metadata.json and running this:

$ datasette --memory -m metadata.json

Now visit https://www.example.com/ in your browser, open the browser developer console and paste in the following:

fetch(""http://127.0.0.1:8001/:memory:.json?sql=select+sqlite_version%28%29"").then(r => r.json()).then(console.log)

If the plugin is running correctly, you will see the JSON response output to the console.

sqlite-generate

Tool for generating demo SQLite databases

Installation

Install this plugin using pip:

$ pip install sqlite-generate

Demo

You can see a demo of the database generated using this command running in Datasette at https://sqlite-generate-demo.datasette.io/

The demo is generated using the following command:

sqlite-generate demo.db --seed seed --fts --columns=10 --fks=0,3 --pks=0,2

Usage

To generate a SQLite database file called data.db with 10 randomly named tables in it, run the following:

sqlite-generate data.db

You can use the --tables option to generate a different number of tables:

sqlite-generate data.db --tables 20

You can run the command against the same database file multiple times to keep adding new tables, using different settings for each batch of generated tables.

By default each table will contain a random number of rows between 0 and 200. You can customize this with the --rows option:

sqlite-generate data.db --rows 20

This will insert 20 rows into each table.

sqlite-generate data.db --rows 500,2000

This inserts a random number of rows between 500 and 2000 into each table.

Each table will have 5 columns. You can change this using --columns:

sqlite-generate data.db --columns 10

--columns can also accept a range:

sqlite-generate data.db --columns 5,15

You can control the random number seed used with the --seed option. This will result in the exact same database file being created by multiple runs of the tool:

sqlite-generate data.db --seed=myseed

By default each table will contain between 0 and 2 foreign key columns to other tables. You can control this using the --fks option, with either a single number or a range:

sqlite-generate data.db --columns=20 --fks=5,15

Each table will have a single primary key column called id. You can use the --pks= option to change the number of primary key columns on each table. Drop it to 0 to generate rowid tables. Increase it above 1 to generate tables with compound primary keys. Or use a range to get a random selection of different primary key layouts:

sqlite-generate data.db --pks=0,2

To configure SQLite full-text search for all columns of type text, use --fts:

sqlite-generate data.db --fts

This will use FTS5 by default. To use FTS4 instead, use --fts4.

Development

To contribute to this tool, first checkout the code. Then create a new virtual environment:

cd sqlite-generate
python -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