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conftest.py
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conftest.py
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import json
import os
import posixpath
import re
import shutil
import subprocess
import sys
import threading
import traceback
import click
import pytest
from mlflow.environment_variables import _MLFLOW_TESTING, MLFLOW_TRACKING_URI
from mlflow.utils.os import is_windows
from mlflow.version import VERSION
from tests.helper_functions import get_safe_port
def pytest_addoption(parser):
parser.addoption(
"--requires-ssh",
action="store_true",
dest="requires_ssh",
default=False,
help="Run tests decorated with 'requires_ssh' annotation. "
"These tests require keys to be configured locally "
"for SSH authentication.",
)
parser.addoption(
"--ignore-flavors",
action="store_true",
dest="ignore_flavors",
default=False,
help="Ignore tests for model flavors.",
)
parser.addoption(
"--splits",
default=None,
type=int,
help="The number of groups to split tests into.",
)
parser.addoption(
"--group",
default=None,
type=int,
help="The group of tests to run.",
)
parser.addoption(
"--serve-wheel",
action="store_true",
default=os.getenv("CI", "false").lower() == "true",
help="Serve a wheel for the dev version of MLflow. True by default in CI, False otherwise.",
)
def pytest_configure(config):
config.addinivalue_line("markers", "requires_ssh")
config.addinivalue_line("markers", "notrackingurimock")
config.addinivalue_line("markers", "allow_infer_pip_requirements_fallback")
config.addinivalue_line(
"markers", "do_not_disable_new_import_hook_firing_if_module_already_exists"
)
config.addinivalue_line("markers", "classification")
labels = fetch_pr_labels() or []
if "fail-fast" in labels:
config.option.maxfail = 1
@pytest.hookimpl(tryfirst=True)
def pytest_cmdline_main(config):
group = config.getoption("group")
splits = config.getoption("splits")
if splits is None and group is None:
return None
if splits and group is None:
raise pytest.UsageError("`--group` is required")
if group and splits is None:
raise pytest.UsageError("`--splits` is required")
if splits < 0:
raise pytest.UsageError("`--splits` must be >= 1")
if group < 1 or group > splits:
raise pytest.UsageError("`--group` must be between 1 and {splits}")
return None
def pytest_sessionstart(session):
if uri := MLFLOW_TRACKING_URI.get():
click.echo(
click.style(
(
f"Environment variable {MLFLOW_TRACKING_URI} is set to {uri!r}, "
"which may interfere with tests."
),
fg="red",
)
)
def pytest_runtest_setup(item):
markers = [mark.name for mark in item.iter_markers()]
if "requires_ssh" in markers and not item.config.getoption("--requires-ssh"):
pytest.skip("use `--requires-ssh` to run this test")
def fetch_pr_labels():
"""
Returns the labels associated with the current pull request.
"""
if "GITHUB_ACTIONS" not in os.environ:
return None
if os.environ.get("GITHUB_EVENT_NAME") != "pull_request":
return None
with open(os.environ["GITHUB_EVENT_PATH"]) as f:
pr_data = json.load(f)
return [label["name"] for label in pr_data["pull_request"]["labels"]]
@pytest.hookimpl(hookwrapper=True)
def pytest_report_teststatus(report, config):
outcome = yield
if report.when == "call":
try:
import psutil
except ImportError:
return
(*rest, result) = outcome.get_result()
mem = psutil.virtual_memory()
mem_used = mem.used / 1024**3
mem_total = mem.total / 1024**3
disk = psutil.disk_usage("/")
disk_used = disk.used / 1024**3
disk_total = disk.total / 1024**3
outcome.force_result(
(
*rest,
(
f"{result} | "
f"MEM {mem_used:.1f}/{mem_total:.1f} GB | "
f"DISK {disk_used:.1f}/{disk_total:.1f} GB"
),
)
)
@pytest.hookimpl(hookwrapper=True)
def pytest_ignore_collect(collection_path, config):
outcome = yield
if not outcome.get_result() and config.getoption("ignore_flavors"):
# If not ignored by the default hook and `--ignore-flavors` specified
# Ignored files and directories must be included in dev/run-python-flavor-tests.sh
model_flavors = [
# Tests of flavor modules.
"tests/autogen",
"tests/azureml",
"tests/catboost",
"tests/diviner",
"tests/fastai",
"tests/gluon",
"tests/h2o",
"tests/johnsnowlabs",
"tests/keras",
"tests/keras_core",
"tests/llama_index",
"tests/langchain",
"tests/lightgbm",
"tests/mleap",
"tests/models",
"tests/onnx",
"tests/openai",
"tests/paddle",
"tests/pmdarima",
"tests/promptflow",
"tests/prophet",
"tests/pyfunc",
"tests/pytorch",
"tests/sagemaker",
"tests/sentence_transformers",
"tests/shap",
"tests/sklearn",
"tests/spacy",
"tests/spark",
"tests/statsmodels",
"tests/tensorflow",
"tests/transformers",
"tests/xgboost",
# Lazy loading test.
"tests/test_mlflow_lazily_imports_ml_packages.py",
# Tests of utils.
"tests/utils/test_model_utils.py",
# This test is included here because it imports many big libraries like tf, keras, etc.
"tests/tracking/fluent/test_fluent_autolog.py",
# Cross flavor autologging related tests.
"tests/autologging/test_autologging_safety_unit.py",
"tests/autologging/test_autologging_behaviors_unit.py",
"tests/autologging/test_autologging_behaviors_integration.py",
"tests/autologging/test_autologging_utils.py",
"tests/autologging/test_training_session.py",
# Opt in authentication feature.
"tests/server/auth",
"tests/gateway",
]
relpath = os.path.relpath(str(collection_path))
relpath = relpath.replace(os.sep, posixpath.sep) # for Windows
if relpath in model_flavors:
outcome.force_result(True)
@pytest.hookimpl(trylast=True)
def pytest_collection_modifyitems(session, config, items):
# Executing `tests.server.test_prometheus_exporter` after `tests.server.test_handlers`
# results in an error because Flask >= 2.2.0 doesn't allow calling setup method such as
# `before_request` on the application after the first request. To avoid this issue,
# execute `tests.server.test_prometheus_exporter` first by reordering the test items.
items.sort(key=lambda item: item.module.__name__ != "tests.server.test_prometheus_exporter")
# Select the tests to run based on the group and splits
if (splits := config.getoption("--splits")) and (group := config.getoption("--group")):
items[:] = items[(group - 1) :: splits]
@pytest.hookimpl(hookwrapper=True)
def pytest_terminal_summary(terminalreporter, exitstatus, config):
yield
failed_test_reports = terminalreporter.stats.get("failed", [])
if failed_test_reports:
if len(failed_test_reports) <= 30:
terminalreporter.section("command to run failed test cases")
ids = [repr(report.nodeid) for report in failed_test_reports]
else:
terminalreporter.section("command to run failed test suites")
# Use dict.fromkeys to preserve the order
ids = list(dict.fromkeys(report.fspath for report in failed_test_reports))
terminalreporter.write(" ".join(["pytest"] + ids))
terminalreporter.write("\n" * 2)
# If some tests failed at installing mlflow, we suggest using `--serve-wheel` flag.
# Some test cases try to install mlflow via pip e.g. model loading. They pins
# mlflow version to install based on local environment i.e. dev version ahead of
# the latest release, hence it's not found on PyPI. `--serve-wheel` flag was
# introduced to resolve this issue, which starts local PyPI server and serve
# an mlflow wheel based on local source code.
# Ref: https://github.com/mlflow/mlflow/pull/10247
msg = f"No matching distribution found for mlflow=={VERSION}"
for rep in failed_test_reports:
if any(msg in t for t in (rep.longreprtext, rep.capstdout, rep.capstderr)):
terminalreporter.section("HINTS", yellow=True)
terminalreporter.write(
f"Found test(s) that failed with {msg!r}. Adding"
" --serve-wheel` flag to your pytest command may help.\n\n",
yellow=True,
)
break
main_thread = threading.main_thread()
if threads := [t for t in threading.enumerate() if t is not main_thread]:
terminalreporter.section("Remaining threads", yellow=True)
for idx, thread in enumerate(threads, start=1):
terminalreporter.write(f"{idx}: {thread}\n")
if non_daemon_threads := [t for t in threads if not t.daemon]:
frames = sys._current_frames()
terminalreporter.section("Tracebacks of non-daemon threads", yellow=True)
for thread in non_daemon_threads:
thread.join(timeout=1)
if thread.is_alive() and (frame := frames.get(thread.ident)):
terminalreporter.section(repr(thread), sep="~")
terminalreporter.write("".join(traceback.format_stack(frame)))
try:
import psutil
except ImportError:
pass
else:
current_process = psutil.Process()
if children := current_process.children(recursive=True):
terminalreporter.section("Remaining child processes", yellow=True)
for idx, child in enumerate(children, start=1):
terminalreporter.write(f"{idx}: {child}\n")
@pytest.fixture(scope="module", autouse=True)
def clean_up_envs():
"""
Clean up virtualenvs and conda environments created during tests to save disk space.
"""
yield
if "GITHUB_ACTIONS" in os.environ:
from mlflow.utils.virtualenv import _get_mlflow_virtualenv_root
shutil.rmtree(_get_mlflow_virtualenv_root(), ignore_errors=True)
if not is_windows():
conda_info = json.loads(subprocess.check_output(["conda", "info", "--json"], text=True))
root_prefix = conda_info["root_prefix"]
regex = re.compile(r"mlflow-\w{32,}")
for env in conda_info["envs"]:
if env == root_prefix:
continue
if regex.fullmatch(os.path.basename(env)):
shutil.rmtree(env, ignore_errors=True)
@pytest.fixture(scope="session", autouse=True)
def enable_mlflow_testing():
with pytest.MonkeyPatch.context() as mp:
mp.setenv(_MLFLOW_TESTING.name, "TRUE")
yield
@pytest.fixture(scope="session", autouse=True)
def serve_wheel(request, tmp_path_factory):
"""
Models logged during tests have a dependency on the dev version of MLflow built from
source (e.g., mlflow==1.20.0.dev0) and cannot be served because the dev version is not
available on PyPI. This fixture serves a wheel for the dev version from a temporary
PyPI repository running on localhost and appends the repository URL to the
`PIP_EXTRA_INDEX_URL` environment variable to make the wheel available to pip.
"""
if not request.config.getoption("--serve-wheel"):
yield # pytest expects a generator fixture to yield
return
root = tmp_path_factory.mktemp("root")
mlflow_dir = root.joinpath("mlflow")
mlflow_dir.mkdir()
port = get_safe_port()
try:
repo_root = subprocess.check_output(
[
"git",
"rev-parse",
"--show-toplevel",
],
text=True,
).strip()
except subprocess.CalledProcessError:
# Some tests run in a Docker container where git is not installed.
# In this case, assume we're in the root of the repo.
repo_root = "."
subprocess.run(
[
sys.executable,
"-m",
"pip",
"wheel",
"--wheel-dir",
mlflow_dir,
"--no-deps",
repo_root,
],
check=True,
)
with subprocess.Popen(
[
sys.executable,
"-m",
"http.server",
str(port),
],
cwd=root,
) as prc:
try:
url = f"http://localhost:{port}"
if existing_url := os.environ.get("PIP_EXTRA_INDEX_URL"):
url = f"{existing_url} {url}"
os.environ["PIP_EXTRA_INDEX_URL"] = url
yield
finally:
prc.terminate()