One more blacken-docs test, refs #1718

api-extras
Simon Willison 2022-04-24 09:08:56 -07:00
rodzic 92b26673d8
commit 498e1536f5
1 zmienionych plików z 27 dodań i 18 usunięć

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@ -19,7 +19,10 @@ If you use the template described in :ref:`writing_plugins_cookiecutter` your pl
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
assert (
"datasette-plugin-template-demo"
in installed_plugins
)
This test uses the :ref:`internals_datasette_client` object to exercise a test instance of Datasette. ``datasette.client`` is a wrapper around the `HTTPX <https://www.python-httpx.org/>`__ Python library which can imitate HTTP requests using ASGI. This is the recommended way to write tests against a Datasette instance.
@ -37,9 +40,7 @@ If you are building an installable package you can add them as test dependencies
setup(
name="datasette-my-plugin",
# ...
extras_require={
"test": ["pytest", "pytest-asyncio"]
},
extras_require={"test": ["pytest", "pytest-asyncio"]},
tests_require=["datasette-my-plugin[test]"],
)
@ -87,31 +88,34 @@ Here's an example that uses the `sqlite-utils library <https://sqlite-utils.data
import pytest
import sqlite_utils
@pytest.fixture(scope="session")
def datasette(tmp_path_factory):
db_directory = tmp_path_factory.mktemp("dbs")
db_path = db_directory / "test.db"
db = sqlite_utils.Database(db_path)
db["dogs"].insert_all([
{"id": 1, "name": "Cleo", "age": 5},
{"id": 2, "name": "Pancakes", "age": 4}
], pk="id")
db["dogs"].insert_all(
[
{"id": 1, "name": "Cleo", "age": 5},
{"id": 2, "name": "Pancakes", "age": 4},
],
pk="id",
)
datasette = Datasette(
[db_path],
metadata={
"databases": {
"test": {
"tables": {
"dogs": {
"title": "Some dogs"
}
"dogs": {"title": "Some dogs"}
}
}
}
}
},
)
return datasette
@pytest.mark.asyncio
async def test_example_table_json(datasette):
response = await datasette.client.get("/test/dogs.json?_shape=array")
@ -121,6 +125,7 @@ Here's an example that uses the `sqlite-utils library <https://sqlite-utils.data
{"id": 2, "name": "Pancakes", "age": 4},
]
@pytest.mark.asyncio
async def test_example_table_html(datasette):
response = await datasette.client.get("/test/dogs")
@ -137,6 +142,7 @@ If you want to create that test database repeatedly for every individual test fu
@pytest.fixture
def datasette(tmp_path_factory):
# This fixture will be executed repeatedly for every test
...
.. _testing_plugins_pytest_httpx:
@ -197,14 +203,17 @@ Here's a test for that plugin that mocks the HTTPX outbound request:
async def test_outbound_http_call(httpx_mock):
httpx_mock.add_response(
url='https://www.example.com/',
text='Hello world',
url="https://www.example.com/",
text="Hello world",
)
datasette = Datasette([], memory=True)
response = await datasette.client.post("/-/fetch-url", data={
"url": "https://www.example.com/"
})
response = await datasette.client.post(
"/-/fetch-url",
data={"url": "https://www.example.com/"},
)
assert response.text == "Hello world"
outbound_request = httpx_mock.get_request()
assert outbound_request.url == "https://www.example.com/"
assert (
outbound_request.url == "https://www.example.com/"
)