The pytest-xdist plugin extends pytest with some unique test execution modes:
- test run parallelization: if you have multiple CPUs or hosts you can use those for a combined test run. This allows to speed up development or to use special resources of remote machines.
--looponfail
: run your tests repeatedly in a subprocess. After each run pytest waits until a file in your project changes and then re-runs the previously failing tests. This is repeated until all tests pass after which again a full run is performed.- Multi-Platform coverage: you can specify different Python interpreters or different platforms and run tests in parallel on all of them.
Before running tests remotely, pytest
efficiently "rsyncs" your
program source code to the remote place. All test results
are reported back and displayed to your local terminal.
You may specify different Python versions and interpreters.
If you would like to know how pytest-xdist works under the covers, checkout OVERVIEW.
Install the plugin with:
pip install pytest-xdist
To use psutil
for detection of the number of CPUs available, install the psutil
extra:
pip install pytest-xdist[psutil]
To send tests to multiple CPUs, use the -n
(or --numprocesses
) option:
pytest -n NUMCPUS
Pass -n auto
to use as many processes as your computer has CPU cores. This
can lead to considerable speed ups, especially if your test suite takes a
noticeable amount of time.
If a test crashes a worker, pytest-xdist will automatically restart that worker
and report the test’s failure. You can use the --max-worker-restart
option
to limit the number of worker restarts that are allowed, or disable restarting
altogether using --max-worker-restart 0
.
By default, using --numprocesses
will send pending tests to any worker that
is available, without any guaranteed order. You can change the test
distribution algorithm this with the --dist
option. It takes these values:
--dist no
: The default algorithm, distributing one test at a time.--dist loadscope
: Tests are grouped by module for test functions and by class for test methods. Groups are distributed to available workers as whole units. This guarantees that all tests in a group run in the same process. This can be useful if you have expensive module-level or class-level fixtures. Grouping by class takes priority over grouping by module.--dist loadfile
: Tests are grouped by their containing file. Groups are distributed to available workers as whole units. This guarantees that all tests in a file run in the same worker.
pytest-xdist
is designed so that each worker process will perform its own collection and execute
a subset of all tests. This means that tests in different processes requesting a high-level
scoped fixture (for example session
) will execute the fixture code more than once, which
breaks expectations and might be undesired in certain situations.
While pytest-xdist
does not have a builtin support for ensuring a session-scoped fixture is
executed exactly once, this can be achieved by using a lock file for inter-process communication.
The example below needs to execute the fixture session_data
only once (because it is
resource intensive, or needs to execute only once to define configuration options, etc), so it makes
use of a FileLock to produce the fixture data only once
when the first process requests the fixture, while the other processes will then read
the data from a file.
Here is the code:
import json
import pytest
from filelock import FileLock
@pytest.fixture(scope="session")
def session_data(tmp_path_factory, worker_id):
if worker_id == "master":
# not executing in with multiple workers, just produce the data and let
# pytest's fixture caching do its job
return produce_expensive_data()
# get the temp directory shared by all workers
root_tmp_dir = tmp_path_factory.getbasetemp().parent
fn = root_tmp_dir / "data.json"
with FileLock(str(fn) + ".lock"):
if fn.is_file():
data = json.loads(fn.read_text())
else:
data = produce_expensive_data()
fn.write_text(json.dumps(data))
return data
The example above can also be use in cases a fixture needs to execute exactly once per test session, like initializing a database service and populating initial tables.
This technique might not work for every case, but should be a starting point for many situations where executing a high-scope fixture exactly once is important.
To instantiate a python3.5 subprocess and send tests to it, you may type:
pytest -d --tx popen//python=python3.5
This will start a subprocess which is run with the python3.5
Python interpreter, found in your system binary lookup path.
If you prefix the --tx option value like this:
--tx 3*popen//python=python3.5
then three subprocesses would be created and tests will be load-balanced across these three processes.
This functionality has been moved to the
pytest-forked plugin, but the --boxed
option
is still kept for backward compatibility.
Suppose you have a package mypkg
which contains some
tests that you can successfully run locally. And you
have a ssh-reachable machine myhost
. Then
you can ad-hoc distribute your tests by typing:
pytest -d --tx ssh=myhostpopen --rsyncdir mypkg mypkg
This will synchronize your mypkg
package directory
to a remote ssh account and then locally collect tests
and send them to remote places for execution.
You can specify multiple --rsyncdir
directories
to be sent to the remote side.
Note
For pytest to collect and send tests correctly
you not only need to make sure all code and tests
directories are rsynced, but that any test (sub) directory
also has an __init__.py
file because internally
pytest references tests as a fully qualified python
module path. You will otherwise get strange errors
during setup of the remote side.
You can specify multiple --rsyncignore
glob patterns
to be ignored when file are sent to the remote side.
There are also internal ignores: .*, *.pyc, *.pyo, *~
Those you cannot override using rsyncignore command-line or
ini-file option(s).
Download the single-module socketserver.py Python program and run it like this:
python socketserver.py
It will tell you that it starts listening on the default port. You can now on your home machine specify this new socket host with something like this:
pytest -d --tx socket=192.168.1.102:8888 --rsyncdir mypkg mypkg
The basic command to run tests on multiple platforms is:
pytest --dist=each --tx=spec1 --tx=spec2
If you specify a windows host, an OSX host and a Linux environment this command will send each tests to all platforms - and report back failures from all platforms at once. The specifications strings use the xspec syntax.
New in version 1.15.
If you need to determine the identity of a worker process in
a test or fixture, you may use the worker_id
fixture to do so:
@pytest.fixture()
def user_account(worker_id):
""" use a different account in each xdist worker """
return "account_%s" % worker_id
When xdist
is disabled (running with -n0
for example), then
worker_id
will return "master"
.
Worker processes also have the following environment variables defined:
PYTEST_XDIST_WORKER
: the name of the worker, e.g.,"gw2"
.PYTEST_XDIST_WORKER_COUNT
: the total number of workers in this session, e.g.,"4"
when-n 4
is given in the command-line.
The information about the worker_id in a test is stored in the TestReport
as
well, under the worker_id
attribute.
Since version 2.0, the following functions are also available in the xdist
module:
def is_xdist_worker(request_or_session) -> bool:
"""Return `True` if this is an xdist worker, `False` otherwise
:param request_or_session: the `pytest` `request` or `session` object
"""
def is_xdist_master(request_or_session) -> bool:
"""Return `True` if this is the xdist master, `False` otherwise
Note: this method also returns `False` when distribution has not been
activated at all.
:param request_or_session: the `pytest` `request` or `session` object
"""
def get_xdist_worker_id(request_or_session) -> str:
"""Return the id of the current worker ('gw0', 'gw1', etc) or 'master'
if running on the 'master' node.
If not distributing tests (for example passing `-n0` or not passing `-n` at all) also return 'master'.
:param request_or_session: the `pytest` `request` or `session` object
"""
New in version 1.32.
If you need to globally distinguish one test run from others in your
workers, you can use the testrun_uid
fixture. For instance, let's say you
wanted to create a separate database for each test run:
import pytest
from posix_ipc import Semaphore, O_CREAT
@pytest.fixture(scope="session", autouse=True)
def create_unique_database(testrun_uid):
""" create a unique database for this particular test run """
database_url = f"psql://myapp-{testrun_uid}"
with Semaphore(f"/{testrun_uid}-lock", flags=O_CREAT, initial_value=1):
if not database_exists(database_url):
create_database(database_url)
@pytest.fixture()
def db(testrun_uid):
""" retrieve unique database """
database_url = f"psql://myapp-{testrun_uid}"
return database_get_instance(database_url)
Additionally, during a test run, the following environment variable is defined:
PYTEST_XDIST_TESTRUNUID
: the unique id of the test run.
To access the sys.argv
passed to the command-line of the master node, use
request.config.workerinput["mainargv"]
.
You can use pytest's ini file configuration to avoid typing common options. You can for example make running with three subprocesses your default like this:
[pytest]
addopts = -n3
You can also add default environments like this:
[pytest]
addopts = --tx ssh=myhost//python=python3.5 --tx ssh=myhost//python=python3.6
and then just type:
pytest --dist=each
to run tests in each of the environments.
In a tox.ini
or setup.cfg
file in your root project directory
you may specify directories to include or to exclude in synchronisation:
[pytest]
rsyncdirs = . mypkg helperpkg
rsyncignore = .hg
These directory specifications are relative to the directory where the configuration file was found.