✅ TESTS ✅ chore: Setting the default spark_version value from pyspark.__version__

pydeequ/configs.py

@@ -1,8 +1,9 @@
 # -*- coding: utf-8 -*-
+import logging
 from functools import lru_cache
 import os
 import re
-
+import pyspark
 
 SPARK_TO_DEEQU_COORD_MAPPING = {
     "3.5": "com.amazon.deequ:deequ:2.0.7-spark-3.5",
@@ -22,7 +23,12 @@ def _extract_major_minor_versions(full_version: str):
 @lru_cache(maxsize=None)
 def _get_spark_version() -> str:
     try:
-        spark_version = os.environ["SPARK_VERSION"]
+        spark_version = os.getenv("SPARK_VERSION")
+        if not spark_version:
+            spark_version = str(pyspark.__version__)
+            logging.info(
+                f"SPARK_VERSION environment variable is not set, using Spark version from PySpark {spark_version} for Deequ Maven jars"
+            )
     except KeyError:
         raise RuntimeError(f"SPARK_VERSION environment variable is required. Supported values are: {SPARK_TO_DEEQU_COORD_MAPPING.keys()}")
 

tests/test_config.py

@@ -1,5 +1,17 @@
+import os
+from unittest import mock
+
+import pyspark
 import pytest
-from pydeequ.configs import _extract_major_minor_versions
+
+from pydeequ.configs import _extract_major_minor_versions, _get_spark_version
+
+
+@pytest.fixture
+def mock_env(monkeypatch):
+    with mock.patch.dict(os.environ, clear=True):
+        monkeypatch.delenv("SPARK_VERSION", raising=False)
+        yield
 
 
 @pytest.mark.parametrize(
@@ -13,3 +25,24 @@
 )
 def test_extract_major_minor_versions(full_version, major_minor_version):
     assert _extract_major_minor_versions(full_version) == major_minor_version
+
+
+@pytest.mark.parametrize(
+    "spark_version, expected", [("3.2.1", "3.2"), ("3.1", "3.1"), ("3.10.3", "3.10"), ("3.10", "3.10")]
+)
+def test__get_spark_versione(spark_version, expected, mock_env):
+    try:
+        _get_spark_version.cache_clear()
+        with mock.patch.object(pyspark, "__version__", spark_version):
+            assert _get_spark_version() == expected
+    finally:
+        _get_spark_version.cache_clear()
+
+
+
+@pytest.mark.parametrize(
+    "spark_version, expected", [("3.2.1", "3.2"), ("3.1", "3.2"), ("3.10.3", "3.2"), ("3.10", "3.2")]
+)
+def test__get_spark_version_with_cache(spark_version, expected, mock_env):
+    with mock.patch.object(pyspark, "__version__", spark_version):
+        assert _get_spark_version() == expected