docs: sections: 1 row where breadcrumbs contains "Testing plugins", page = "testing_plugins" and title = "Setting up a Datasette test instance"

1 row where breadcrumbs contains "Testing plugins", page = "testing_plugins" and title = "Setting up a Datasette test instance"

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id ▼	page	ref	title	content	breadcrumbs	references
testing_plugins:testing-plugins-datasette-test-instance	testing_plugins	testing-plugins-datasette-test-instance	Setting up a Datasette test instance	The above example shows the easiest way to start writing tests against a Datasette instance: from datasette.app import Datasette import pytest @pytest.mark.asyncio async def test_plugin_is_installed(): datasette = Datasette(memory=True) response = await datasette.client.get("/-/plugins.json") assert response.status_code == 200 Creating a Datasette() instance like this as useful shortcut in tests, but there is one detail you need to be aware of. It's important to ensure that the async method .invoke_startup() is called on that instance. You can do that like this: datasette = Datasette(memory=True) await datasette.invoke_startup() This method registers any startup(datasette) or prepare_jinja2_environment(env, datasette) plugins that might themselves need to make async calls. If you are using await datasette.client.get() and similar methods then you don't need to worry about this - Datasette automatically calls invoke_startup() the first time it handles a request.	["Testing plugins"]	[]

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   [page] TEXT,
   [ref] TEXT,
   [title] TEXT,
   [content] TEXT,
   [breadcrumbs] TEXT,
   [references] TEXT
);