id,page,ref,title,content,breadcrumbs,references
testing_plugins:id1,testing_plugins,id1,Testing plugins,"We recommend using  pytest  to write automated tests for your plugins. 
         If you use the template described in  Starting an installable plugin using cookiecutter  your plugin will start with a single test in your  tests/  directory that looks like this: 
         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
    installed_plugins = {p[""name""] for p in response.json()}
    assert (
        ""datasette-plugin-template-demo""
        in installed_plugins
    ) 
         This test uses the  datasette.client  object to exercise a test instance of Datasette.  datasette.client  is a wrapper around the  HTTPX  Python library which can imitate HTTP requests using ASGI. This is the recommended way to write tests against a Datasette instance. 
         This test also uses the  pytest-asyncio  package to add support for  async def  test functions running under pytest. 
         You can install these packages like so: 
         pip install pytest pytest-asyncio 
         If you are building an installable package you can add them as test dependencies to your  setup.py  module like this: 
         setup(
    name=""datasette-my-plugin"",
    # ...
    extras_require={""test"": [""pytest"", ""pytest-asyncio""]},
    tests_require=[""datasette-my-plugin[test]""],
) 
         You can then install the test dependencies like so: 
         pip install -e '.[test]' 
         Then run the tests using pytest like so: 
         pytest",[],"[{""href"": ""https://docs.pytest.org/"", ""label"": ""pytest""}, {""href"": ""https://www.python-httpx.org/"", ""label"": ""HTTPX""}, {""href"": ""https://pypi.org/project/pytest-asyncio/"", ""label"": ""pytest-asyncio""}]"