fix in and not in condition bug

src/sagemaker/workflow/conditions.py

@@ -186,8 +186,8 @@ def to_request(self) -> RequestType:
         """Get the request structure for workflow service calls."""
         return {
             "Type": self.condition_type.value,
-            "Value": self.value.expr,
-            "In": [primitive_or_expr(in_value) for in_value in self.in_values],
+            "QueryValue": self.value.expr,
+            "Values": [primitive_or_expr(in_value) for in_value in self.in_values],
         }
 
 

tests/integ/test_workflow.py

@@ -38,7 +38,7 @@
 from sagemaker.sklearn.estimator import SKLearn
 from sagemaker.sklearn.processing import SKLearnProcessor
 from sagemaker.spark.processing import PySparkProcessor, SparkJarProcessor
-from sagemaker.workflow.conditions import ConditionGreaterThanOrEqualTo
+from sagemaker.workflow.conditions import ConditionGreaterThanOrEqualTo, ConditionIn
 from sagemaker.workflow.condition_step import ConditionStep
 from sagemaker.wrangler.processing import DataWranglerProcessor
 from sagemaker.dataset_definition.inputs import DatasetDefinition, AthenaDatasetDefinition
@@ -696,6 +696,7 @@ def test_conditional_pytorch_training_model_registration(
     instance_count = ParameterInteger(name="InstanceCount", default_value=1)
     instance_type = ParameterString(name="InstanceType", default_value="ml.m5.xlarge")
     good_enough_input = ParameterInteger(name="GoodEnoughInput", default_value=1)
+    in_condition_input = ParameterString(name="Foo", default_value="Foo")
 
     pytorch_estimator = PyTorch(
         entry_point=entry_point,
@@ -741,14 +742,17 @@ def test_conditional_pytorch_training_model_registration(
 
     step_cond = ConditionStep(
         name="cond-good-enough",
-        conditions=[ConditionGreaterThanOrEqualTo(left=good_enough_input, right=1)],
+        conditions=[
+            ConditionGreaterThanOrEqualTo(left=good_enough_input, right=1),
+            ConditionIn(value=in_condition_input, in_values=["foo", "bar"]),
+        ],
         if_steps=[step_train, step_register],
         else_steps=[step_model],
     )
 
     pipeline = Pipeline(
         name=pipeline_name,
-        parameters=[good_enough_input, instance_count, instance_type],
+        parameters=[in_condition_input, good_enough_input, instance_count, instance_type],
         steps=[step_cond],
         sagemaker_session=sagemaker_session,
     )

tests/unit/sagemaker/workflow/test_conditions.py

@@ -99,8 +99,8 @@ def test_condition_in():
     cond_in = ConditionIn(value=param, in_values=["abc", "def"])
     assert cond_in.to_request() == {
         "Type": "In",
-        "Value": {"Get": "Parameters.MyStr"},
-        "In": ["abc", "def"],
+        "QueryValue": {"Get": "Parameters.MyStr"},
+        "Values": ["abc", "def"],
     }
 
 
@@ -111,8 +111,8 @@ def test_condition_in_mixed():
     cond_in = ConditionIn(value=param, in_values=["abc", prop, var])
     assert cond_in.to_request() == {
         "Type": "In",
-        "Value": {"Get": "Parameters.MyStr"},
-        "In": ["abc", {"Get": "foo"}, {"Get": "Execution.StartDateTime"}],
+        "QueryValue": {"Get": "Parameters.MyStr"},
+        "Values": ["abc", {"Get": "foo"}, {"Get": "Execution.StartDateTime"}],
     }
 
 
@@ -138,8 +138,8 @@ def test_condition_not_in():
         "Type": "Not",
         "Expression": {
             "Type": "In",
-            "Value": {"Get": "Parameters.MyStr"},
-            "In": ["abc", "def"],
+            "QueryValue": {"Get": "Parameters.MyStr"},
+            "Values": ["abc", "def"],
         },
     }
 
@@ -160,8 +160,8 @@ def test_condition_or():
             },
             {
                 "Type": "In",
-                "Value": {"Get": "Parameters.MyStr"},
-                "In": ["abc", "def"],
+                "QueryValue": {"Get": "Parameters.MyStr"},
+                "Values": ["abc", "def"],
             },
         ],
     }