id,page,ref,title,content,breadcrumbs,references plugin_hooks:plugin-hook-startup,plugin_hooks,plugin-hook-startup,startup(datasette),"This hook fires when the Datasette application server first starts up. You can implement a regular function, for example to validate required plugin configuration: @hookimpl def startup(datasette): config = datasette.plugin_config(""my-plugin"") or {} assert ( ""required-setting"" in config ), ""my-plugin requires setting required-setting"" Or you can return an async function which will be awaited on startup. Use this option if you need to make any database queries: @hookimpl def startup(datasette): async def inner(): db = datasette.get_database() if ""my_table"" not in await db.table_names(): await db.execute_write( """""" create table my_table (mycol text) """""" ) return inner Potential use-cases: Run some initialization code for the plugin Create database tables that a plugin needs on startup Validate the metadata configuration for a plugin on startup, and raise an error if it is invalid If you are writing unit tests for a plugin that uses this hook and doesn't exercise Datasette by sending any simulated requests through it you will need to explicitly call await ds.invoke_startup() in your tests. An example: @pytest.mark.asyncio async def test_my_plugin(): ds = Datasette() await ds.invoke_startup() # Rest of test goes here Examples: datasette-saved-queries , datasette-init","[""Plugin hooks""]","[{""href"": ""https://datasette.io/plugins/datasette-saved-queries"", ""label"": ""datasette-saved-queries""}, {""href"": ""https://datasette.io/plugins/datasette-init"", ""label"": ""datasette-init""}]"