Port to httpx2, refs #2879

This commit is contained in:
Simon Willison 2026-08-13 16:22:30 -07:00
commit f712559886
10 changed files with 62 additions and 64 deletions

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@ -28,7 +28,7 @@ import urllib.parse
from concurrent import futures
from pathlib import Path
import httpx
import httpx2
from itsdangerous import BadSignature, URLSafeSerializer
from jinja2 import (
ChoiceLoader,
@ -3215,14 +3215,14 @@ class DatasetteClient:
with _DatasetteClientContext():
if skip_permission_checks:
with SkipPermissions():
async with httpx.AsyncClient(
transport=httpx.ASGITransport(app=self.app),
async with httpx2.AsyncClient(
transport=httpx2.ASGITransport(app=self.app),
cookies=kwargs.pop("cookies", None),
) as client:
return await getattr(client, method)(self._fix(path), **kwargs)
else:
async with httpx.AsyncClient(
transport=httpx.ASGITransport(app=self.app),
async with httpx2.AsyncClient(
transport=httpx2.ASGITransport(app=self.app),
cookies=kwargs.pop("cookies", None),
) as client:
return await getattr(client, method)(self._fix(path), **kwargs)
@ -3269,10 +3269,10 @@ class DatasetteClient:
method: HTTP method (e.g., "GET", "POST", "PUT")
path: The path to request
skip_permission_checks: If True, bypass all permission checks for this request
**kwargs: Additional arguments to pass to httpx
**kwargs: Additional arguments to pass to httpx2
Returns:
httpx.Response: The response from the request
httpx2.Response: The response from the request
"""
from datasette.permissions import SkipPermissions
@ -3281,16 +3281,16 @@ class DatasetteClient:
with _DatasetteClientContext():
if skip_permission_checks:
with SkipPermissions():
async with httpx.AsyncClient(
transport=httpx.ASGITransport(app=self.app),
async with httpx2.AsyncClient(
transport=httpx2.ASGITransport(app=self.app),
cookies=kwargs.pop("cookies", None),
) as client:
return await client.request(
method, self._fix(path, avoid_path_rewrites), **kwargs
)
else:
async with httpx.AsyncClient(
transport=httpx.ASGITransport(app=self.app),
async with httpx2.AsyncClient(
transport=httpx2.ASGITransport(app=self.app),
cookies=kwargs.pop("cookies", None),
) as client:
return await client.request(

View file

@ -4,7 +4,7 @@ from urllib.parse import urlencode
from asgiref.sync import async_to_sync
# These wrapper classes pre-date the introduction of
# datasette.client and httpx to Datasette. They could
# datasette.client and HTTPX2 to Datasette. They could
# be removed if the Datasette tests are modified to
# call datasette.client directly.

View file

@ -4,6 +4,13 @@
Changelog
=========
.. _v1_0_unreleased:
Unreleased
----------
- Datasette now uses `HTTPX2 <https://httpx2.pydantic.dev/>`__ in place of HTTPX. (:issue:`2879`)
.. _v1_0_a38:
1.0a38 (2026-08-06)

View file

@ -1594,32 +1594,32 @@ datasette.client
Plugins can make internal simulated HTTP requests to the Datasette instance within which they are running. This ensures that all of Datasette's external JSON APIs are also available to plugins, while avoiding the overhead of making an external HTTP call to access those APIs.
The ``datasette.client`` object is a wrapper around the `HTTPX Python library <https://www.python-httpx.org/>`__, providing an async-friendly API that is similar to the widely used `Requests library <https://requests.readthedocs.io/>`__.
The ``datasette.client`` object is a wrapper around the `HTTPX2 Python library <https://httpx2.pydantic.dev/>`__, providing an async-friendly API that is similar to the widely used `Requests library <https://requests.readthedocs.io/>`__.
It offers the following methods:
``await datasette.client.get(path, **kwargs)`` - returns HTTPX Response
``await datasette.client.get(path, **kwargs)`` - returns HTTPX2 Response
Execute an internal GET request against that path.
``await datasette.client.post(path, **kwargs)`` - returns HTTPX Response
``await datasette.client.post(path, **kwargs)`` - returns HTTPX2 Response
Execute an internal POST request. Use ``data={"name": "value"}`` to pass form parameters.
``await datasette.client.options(path, **kwargs)`` - returns HTTPX Response
``await datasette.client.options(path, **kwargs)`` - returns HTTPX2 Response
Execute an internal OPTIONS request.
``await datasette.client.head(path, **kwargs)`` - returns HTTPX Response
``await datasette.client.head(path, **kwargs)`` - returns HTTPX2 Response
Execute an internal HEAD request.
``await datasette.client.put(path, **kwargs)`` - returns HTTPX Response
``await datasette.client.put(path, **kwargs)`` - returns HTTPX2 Response
Execute an internal PUT request.
``await datasette.client.patch(path, **kwargs)`` - returns HTTPX Response
``await datasette.client.patch(path, **kwargs)`` - returns HTTPX2 Response
Execute an internal PATCH request.
``await datasette.client.delete(path, **kwargs)`` - returns HTTPX Response
``await datasette.client.delete(path, **kwargs)`` - returns HTTPX2 Response
Execute an internal DELETE request.
``await datasette.client.request(method, path, **kwargs)`` - returns HTTPX Response
``await datasette.client.request(method, path, **kwargs)`` - returns HTTPX2 Response
Execute an internal request with the given HTTP method against that path.
These methods can be used with :ref:`internals_datasette_urls` - for example:
@ -1636,7 +1636,7 @@ These methods can be used with :ref:`internals_datasette_urls` - for example:
``datasette.client`` methods automatically take the current :ref:`setting_base_url` setting into account, whether or not you use the ``datasette.urls`` family of methods to construct the path.
For documentation on available ``**kwargs`` options and the shape of the HTTPX Response object refer to the `HTTPX Async documentation <https://www.python-httpx.org/async/>`__.
For documentation on available ``**kwargs`` options and the shape of the HTTPX2 Response object refer to the `HTTPX2 Async documentation <https://httpx2.pydantic.dev/async/>`__.
.. _internals_datasette_client_actor:
@ -2623,12 +2623,12 @@ This example uses trace to record the start, end and duration of any HTTP GET re
.. code-block:: python
from datasette.tracer import trace
import httpx
import httpx2
async def fetch_url(url):
with trace("fetch-url", url=url):
async with httpx.AsyncClient() as client:
async with httpx2.AsyncClient() as client:
return await client.get(url)
.. _internals_tracer_trace_child_tasks:

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@ -25,7 +25,7 @@ If you use the template described in :ref:`writing_plugins_cookiecutter` your pl
)
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.
This test uses the :ref:`internals_datasette_client` object to exercise a test instance of Datasette. ``datasette.client`` is a wrapper around the `HTTPX2 <https://httpx2.pydantic.dev/>`__ 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 <https://pypi.org/project/pytest-asyncio/>`__ package to add support for ``async def`` test functions running under pytest.
@ -154,7 +154,7 @@ If you need to opt out of this behavior, add the following to your ``pytest.ini`
Using datasette.client in tests
-------------------------------
The :ref:`internals_datasette_client` mechanism is designed for use in tests. It provides access to a pre-configured `HTTPX async client <https://www.python-httpx.org/async/>`__ instance that can make GET, POST and other HTTP requests against a Datasette instance from inside a test.
The :ref:`internals_datasette_client` mechanism is designed for use in tests. It provides access to a pre-configured `HTTPX2 async client <https://httpx2.pydantic.dev/async/>`__ instance that can make GET, POST and other HTTP requests against a Datasette instance from inside a test.
A simple test looks like this:
@ -278,9 +278,7 @@ Testing outbound HTTP calls with pytest-httpx
If your plugin makes outbound HTTP calls - for example datasette-auth-github or datasette-import-table - you may need to mock those HTTP requests in your tests.
The `pytest-httpx <https://pypi.org/project/pytest-httpx/>`__ package is a useful library for mocking calls. It can be tricky to use with Datasette though since it mocks all HTTPX requests, and Datasette's own testing mechanism uses HTTPX internally.
To avoid breaking your tests, you can return ``["localhost"]`` from the ``non_mocked_hosts()`` fixture.
The `pytest-httpx <https://pypi.org/project/pytest-httpx/>`__ package is a useful library for mocking calls made using HTTPX. It does not mock HTTPX2 requests. Datasette's own testing mechanism uses HTTPX2 internally, so ``pytest-httpx`` does not affect requests made using ``datasette.client`` and no ``non_mocked_hosts()`` fixture is needed.
As an example, here's a very simple plugin which executes an HTTP response and returns the resulting content:
@ -316,13 +314,6 @@ Here's a test for that plugin that mocks the HTTPX outbound request:
import pytest
@pytest.fixture
def non_mocked_hosts():
# This ensures httpx-mock will not affect Datasette's own
# httpx calls made in the tests by datasette.client:
return ["localhost"]
async def test_outbound_http_call(httpx_mock):
httpx_mock.add_response(
url="https://www.example.com/",

View file

@ -28,7 +28,7 @@ dependencies = [
"click-default-group>=1.2.3",
"Jinja2>=2.10.3",
"hupper>=1.9",
"httpx>=0.20,<1.0",
"httpx2>=2.0",
"pluggy>=1.0",
"uvicorn>=0.11",
"aiofiles>=0.4",

View file

@ -8,7 +8,7 @@ import tempfile
import time
from dataclasses import dataclass
import httpx
import httpx2
import pytest
import pytest_asyncio
@ -32,13 +32,13 @@ UNDOCUMENTED_PERMISSIONS = {
}
def wait_until_responds(url, timeout=5.0, client=httpx, **kwargs):
def wait_until_responds(url, timeout=5.0, client=httpx2, **kwargs):
start = time.time()
while time.time() - start < timeout:
try:
client.get(url, **kwargs)
return
except httpx.ConnectError:
except httpx2.ConnectError:
time.sleep(0.1)
raise AssertionError(f"Timed out waiting for {url} to respond")
@ -277,8 +277,8 @@ def ds_unix_domain_socket_server(tmp_path_factory):
cwd=tempfile.gettempdir(),
)
# Poll until available
transport = httpx.HTTPTransport(uds=uds)
client = httpx.Client(transport=transport)
transport = httpx2.HTTPTransport(uds=uds)
client = httpx2.Client(transport=transport)
try:
wait_until_responds(
"http://localhost/_memory.json", timeout=30.0, client=client

View file

@ -1,12 +1,12 @@
import socket
import httpx
import httpx2
import pytest
@pytest.mark.serial
def test_serve_localhost_http(ds_localhost_http_server):
response = httpx.get("http://localhost:8041/_memory.json")
response = httpx2.get("http://localhost:8041/_memory.json")
assert {
"database": "_memory",
"path": "/_memory",
@ -20,8 +20,8 @@ def test_serve_localhost_http(ds_localhost_http_server):
)
def test_serve_unix_domain_socket(ds_unix_domain_socket_server):
_, uds = ds_unix_domain_socket_server
transport = httpx.HTTPTransport(uds=uds)
client = httpx.Client(transport=transport)
transport = httpx2.HTTPTransport(uds=uds)
client = httpx2.Client(transport=transport)
response = client.get("http://localhost/_memory.json")
assert {
"database": "_memory",

View file

@ -1,4 +1,4 @@
import httpx
import httpx2
import pytest
import pytest_asyncio
@ -43,7 +43,7 @@ async def datasette_with_permissions():
async def test_client_methods(datasette, method, path, expected_status):
client_method = getattr(datasette.client, method)
response = await client_method(path)
assert isinstance(response, httpx.Response)
assert isinstance(response, httpx2.Response)
assert response.status_code == expected_status
# Try that again using datasette.client.request
response2 = await datasette.client.request(method, path)
@ -63,7 +63,7 @@ async def test_client_post(datasette, prefix):
"message": "A message",
},
)
assert isinstance(response, httpx.Response)
assert isinstance(response, httpx2.Response)
assert response.status_code == 302
assert "ds_messages" in response.cookies
finally:
@ -135,7 +135,7 @@ async def test_skip_permission_checks_all_methods(datasette_with_permissions, me
response = await client_method("/test_db.json", skip_permission_checks=True)
# We don't check status code since some methods might not be allowed,
# but we verify the request doesn't fail due to permissions
assert isinstance(response, httpx.Response)
assert isinstance(response, httpx2.Response)
@pytest.mark.asyncio
@ -340,7 +340,7 @@ async def test_actor_parameter_all_http_methods(datasette, method):
client_method = getattr(datasette.client, method)
# Just verify no TypeError about unexpected 'actor' kwarg
response = await client_method("/", actor={"id": "root"})
assert isinstance(response, httpx.Response)
assert isinstance(response, httpx2.Response)
@pytest.mark.asyncio

View file

@ -5,7 +5,7 @@ import subprocess
import sys
import time
import httpx
import httpx2
import pytest
from datasette.fixtures import write_fixture_database
@ -34,11 +34,11 @@ def wait_for_server(process, url, timeout=30):
f"stderr:\n{stderr}"
)
try:
response = httpx.get(url, timeout=1.0)
response = httpx2.get(url, timeout=1.0)
if response.status_code < 500:
return
last_error = f"HTTP {response.status_code}: {response.text[:200]}"
except httpx.HTTPError as ex:
except httpx2.HTTPError as ex:
last_error = repr(ex)
time.sleep(0.1)
if process.poll() is None:
@ -336,7 +336,7 @@ def project_rows(datasette_server, **filters):
"_shape": "objects",
**{key: str(value) for key, value in filters.items()},
}
response = httpx.get(f"{datasette_server}data/projects.json", params=params)
response = httpx2.get(f"{datasette_server}data/projects.json", params=params)
response.raise_for_status()
return response.json()["rows"]
@ -348,7 +348,7 @@ def project_row(datasette_server, pk):
def binary_file_blob(datasette_server, pk):
response = httpx.get(
response = httpx2.get(
f"{datasette_server}data/binary_files/{pk}.blob",
params={"_blob_column": "data"},
)
@ -369,7 +369,7 @@ def bulk_default_rows(datasette_server, **filters):
"_shape": "objects",
**{key: str(value) for key, value in filters.items()},
}
response = httpx.get(f"{datasette_server}data/bulk_defaults.json", params=params)
response = httpx2.get(f"{datasette_server}data/bulk_defaults.json", params=params)
response.raise_for_status()
return response.json()["rows"]
@ -379,7 +379,7 @@ def upsert_item_rows(datasette_server, **filters):
"_shape": "objects",
**{key: str(value) for key, value in filters.items()},
}
response = httpx.get(f"{datasette_server}data/upsert_items.json", params=params)
response = httpx2.get(f"{datasette_server}data/upsert_items.json", params=params)
response.raise_for_status()
return response.json()["rows"]
@ -473,7 +473,7 @@ def test_create_table_flow(page, datasette_server):
page.wait_for_url("**/data/playwright_created")
assert "playwright_created" in page.locator("h1").inner_text()
response = httpx.get(
response = httpx2.get(
f"{datasette_server}data/playwright_created.json?_extra=columns,column_types"
)
response.raise_for_status()
@ -487,7 +487,7 @@ def test_create_table_flow(page, datasette_server):
assert data["column_types"] == {
"metadata": {"type": "json", "config": None},
}
schema_response = httpx.get(
schema_response = httpx2.get(
f"{datasette_server}data/-/query.json",
params={
"sql": (
@ -603,7 +603,7 @@ def test_create_table_from_data_flow(page, datasette_server):
dialog.locator(".table-create-save").click()
page.wait_for_url("**/data/playwright_from_data")
response = httpx.get(
response = httpx2.get(
f"{datasette_server}data/playwright_from_data.json?_shape=objects"
)
response.raise_for_status()
@ -639,7 +639,7 @@ def test_create_table_from_csv_keeps_numeric_type_when_values_are_blank(
dialog.locator(".table-create-save").click()
page.wait_for_url("**/data/playwright_numeric_blanks")
response = httpx.get(
response = httpx2.get(
f"{datasette_server}data/playwright_numeric_blanks.json?_shape=objects"
)
response.raise_for_status()
@ -648,7 +648,7 @@ def test_create_table_from_csv_keeps_numeric_type_when_values_are_blank(
{"name": "B", "score": None},
]
schema_response = httpx.get(
schema_response = httpx2.get(
f"{datasette_server}data/-/query.json",
params={
"sql": (
@ -856,7 +856,7 @@ def test_alter_table_flow(page, datasette_server):
columns = []
for _ in range(20):
response = httpx.get(f"{datasette_server}data/projects.json?_extra=columns")
response = httpx2.get(f"{datasette_server}data/projects.json?_extra=columns")
response.raise_for_status()
columns = response.json()["columns"]
if "status" in columns: