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[SPARK-50064][PYTHON][TESTS] Make pysaprk-ml-connect tests passing without optional dependencies #48587

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25 changes: 12 additions & 13 deletions python/pyspark/ml/tests/connect/test_connect_evaluation.py
Original file line number Diff line number Diff line change
Expand Up @@ -30,19 +30,18 @@
if should_test_connect:
from pyspark.ml.tests.connect.test_legacy_mode_evaluation import EvaluationTestsMixin


@unittest.skipIf(
not should_test_connect or not have_torcheval,
connect_requirement_message or "torcheval is required",
)
class EvaluationTestsOnConnect(EvaluationTestsMixin, unittest.TestCase):
def setUp(self) -> None:
self.spark = SparkSession.builder.remote(
os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]")
).getOrCreate()

def tearDown(self) -> None:
self.spark.stop()
@unittest.skipIf(
not should_test_connect or not have_torcheval,
connect_requirement_message or "torcheval is required",
)
class EvaluationTestsOnConnect(EvaluationTestsMixin, unittest.TestCase):
def setUp(self) -> None:
self.spark = SparkSession.builder.remote(
os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]")
).getOrCreate()

def tearDown(self) -> None:
self.spark.stop()


if __name__ == "__main__":
Expand Down
25 changes: 12 additions & 13 deletions python/pyspark/ml/tests/connect/test_connect_feature.py
Original file line number Diff line number Diff line change
Expand Up @@ -32,19 +32,18 @@
if should_test_connect:
from pyspark.ml.tests.connect.test_legacy_mode_feature import FeatureTestsMixin


@unittest.skipIf(
not should_test_connect or not have_sklearn,
connect_requirement_message or sklearn_requirement_message,
)
class FeatureTestsOnConnect(FeatureTestsMixin, unittest.TestCase):
def setUp(self) -> None:
self.spark = SparkSession.builder.remote(
os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]")
).getOrCreate()

def tearDown(self) -> None:
self.spark.stop()
@unittest.skipIf(
not should_test_connect or not have_sklearn,
connect_requirement_message or sklearn_requirement_message,
)
class FeatureTestsOnConnect(FeatureTestsMixin, unittest.TestCase):
def setUp(self) -> None:
self.spark = SparkSession.builder.remote(
os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]")
).getOrCreate()

def tearDown(self) -> None:
self.spark.stop()


if __name__ == "__main__":
Expand Down
37 changes: 19 additions & 18 deletions python/pyspark/ml/tests/connect/test_connect_pipeline.py
Original file line number Diff line number Diff line change
Expand Up @@ -22,9 +22,6 @@
from pyspark.sql import SparkSession
from pyspark.testing.connectutils import should_test_connect, connect_requirement_message

if should_test_connect:
from pyspark.ml.tests.connect.test_legacy_mode_pipeline import PipelineTestsMixin

torch_requirement_message = None
have_torch = True
try:
Expand All @@ -33,23 +30,27 @@
have_torch = False
torch_requirement_message = "torch is required"

if should_test_connect:
from pyspark.ml.tests.connect.test_legacy_mode_pipeline import PipelineTestsMixin

@unittest.skipIf(
not should_test_connect or not have_torch or is_remote_only(),
connect_requirement_message
or torch_requirement_message
or "Requires PySpark core library in Spark Connect server",
)
class PipelineTestsOnConnect(PipelineTestsMixin, unittest.TestCase):
def setUp(self) -> None:
self.spark = (
SparkSession.builder.remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]"))
.config("spark.sql.artifact.copyFromLocalToFs.allowDestLocal", "true")
.getOrCreate()
)
@unittest.skipIf(
not should_test_connect or not have_torch or is_remote_only(),
connect_requirement_message
or torch_requirement_message
or "Requires PySpark core library in Spark Connect server",
)
class PipelineTestsOnConnect(PipelineTestsMixin, unittest.TestCase):
def setUp(self) -> None:
self.spark = (
SparkSession.builder.remote(
os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]")
)
.config("spark.sql.artifact.copyFromLocalToFs.allowDestLocal", "true")
.getOrCreate()
)

def tearDown(self) -> None:
self.spark.stop()
def tearDown(self) -> None:
self.spark.stop()


if __name__ == "__main__":
Expand Down
19 changes: 9 additions & 10 deletions python/pyspark/ml/tests/connect/test_connect_summarizer.py
Original file line number Diff line number Diff line change
Expand Up @@ -24,16 +24,15 @@
if should_test_connect:
from pyspark.ml.tests.connect.test_legacy_mode_summarizer import SummarizerTestsMixin


@unittest.skipIf(not should_test_connect, connect_requirement_message)
class SummarizerTestsOnConnect(SummarizerTestsMixin, unittest.TestCase):
def setUp(self) -> None:
self.spark = SparkSession.builder.remote(
os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]")
).getOrCreate()

def tearDown(self) -> None:
self.spark.stop()
@unittest.skipIf(not should_test_connect, connect_requirement_message)
class SummarizerTestsOnConnect(SummarizerTestsMixin, unittest.TestCase):
def setUp(self) -> None:
self.spark = SparkSession.builder.remote(
os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]")
).getOrCreate()

def tearDown(self) -> None:
self.spark.stop()


if __name__ == "__main__":
Expand Down
31 changes: 16 additions & 15 deletions python/pyspark/ml/tests/connect/test_connect_tuning.py
Original file line number Diff line number Diff line change
Expand Up @@ -26,21 +26,22 @@
if should_test_connect:
from pyspark.ml.tests.connect.test_legacy_mode_tuning import CrossValidatorTestsMixin


@unittest.skipIf(
not should_test_connect or is_remote_only(),
connect_requirement_message or "Requires PySpark core library in Spark Connect server",
)
class CrossValidatorTestsOnConnect(CrossValidatorTestsMixin, unittest.TestCase):
def setUp(self) -> None:
self.spark = (
SparkSession.builder.remote(os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]"))
.config("spark.sql.artifact.copyFromLocalToFs.allowDestLocal", "true")
.getOrCreate()
)

def tearDown(self) -> None:
self.spark.stop()
@unittest.skipIf(
not should_test_connect or is_remote_only(),
connect_requirement_message or "Requires PySpark core library in Spark Connect server",
)
class CrossValidatorTestsOnConnect(CrossValidatorTestsMixin, unittest.TestCase):
def setUp(self) -> None:
self.spark = (
SparkSession.builder.remote(
os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]")
)
.config("spark.sql.artifact.copyFromLocalToFs.allowDestLocal", "true")
.getOrCreate()
)

def tearDown(self) -> None:
self.spark.stop()


if __name__ == "__main__":
Expand Down