[ML] fix: Add type instance var to MonitorInputData (Azure#32281)

* refactor: Use MonintorInputDataType instead of magic constants

* refactor: input_type -> type

* docs: Document type instance var

sdk/ml/azure-ai-ml/azure/ai/ml/constants/_monitoring.py

@@ -94,6 +94,15 @@ class MonitorTargetTasks(str, Enum, metaclass=CaseInsensitiveEnumMeta):
     QUESTION_ANSWERING = "QuestionAnswering"
 
 
+class MonitorInputDataType(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    #: An input data with a fixed window size.
+    STATIC = "Static"
+    #: An input data which trailing relatively to the monitor's current run.
+    TRAILING = "Trailing"
+    #: An input data with tabular format which doesn't require preprocessing.
+    FIXED = "Fixed"
+
+
 class FADColumnNames(str, Enum, metaclass=CaseInsensitiveEnumMeta):
     PREDICTION = "prediction"
     PREDICTION_PROBABILITY = "prediction_probability"

sdk/ml/azure-ai-ml/azure/ai/ml/entities/_monitoring/input_data.py

@@ -18,13 +18,15 @@
 
 from azure.ai.ml._utils._experimental import experimental
 from azure.ai.ml._utils.utils import camel_to_snake, snake_to_camel
-from azure.ai.ml.constants._monitoring import MonitorDatasetContext
+from azure.ai.ml.constants._monitoring import MonitorDatasetContext, MonitorInputDataType
 
 
 @experimental
 class MonitorInputData(RestTranslatableMixin):
     """Monitor input data.
 
+    :keyword type: Specifies the type of monitoring input data.
+    :paramtype type: MonitorInputDataType
     :keyword input_dataset: Input data used by the monitor
     :paramtype input_dataset: Optional[~azure.ai.ml.Input]
     :keyword dataset_context: The context of the input dataset. Accepted values are "model_inputs",
@@ -40,32 +42,37 @@ class MonitorInputData(RestTranslatableMixin):
     def __init__(
         self,
         *,
-        input_type: str = None,
+        type: MonitorInputDataType = None,
         data_context: MonitorDatasetContext = None,
         target_columns: Dict = None,
         job_type: str = None,
         uri: str = None,
     ):
-        self.input_type = input_type
+        self.type = type
         self.data_context = data_context
         self.target_columns = target_columns
         self.job_type = job_type
         self.uri = uri
 
     @classmethod
     def _from_rest_object(cls, obj: RestMonitorInputBase) -> Optional["MonitorInputData"]:
-        if obj.input_data_type == "Fixed":
+        if obj.input_data_type == MonitorInputDataType.FIXED:
             return FixedInputData._from_rest_object(obj)
-        if obj.input_data_type == "Trailing":
+        if obj.input_data_type == MonitorInputDataType.TRAILING:
             return TrailingInputData._from_rest_object(obj)
-        if obj.input_data_type == "Static":
+        if obj.input_data_type == MonitorInputDataType.STATIC:
             return StaticInputData._from_rest_object(obj)
 
         return None
 
 
 @experimental
 class FixedInputData(MonitorInputData):
+    """
+    :ivar type: Specifies the type of monitoring input data. Set automatically to "Fixed" for this class.
+    :var type: MonitorInputDataType
+    """
+
     def __init__(
         self,
         *,
@@ -75,7 +82,7 @@ def __init__(
         uri: str = None,
     ):
         super().__init__(
-            input_type="Fixed",
+            type=MonitorInputDataType.FIXED,
             data_context=data_context,
             target_columns=target_columns,
             job_type=job_type,
@@ -102,6 +109,11 @@ def _from_rest_object(cls, obj: RestFixedInputData) -> "FixedInputData":
 
 @experimental
 class TrailingInputData(MonitorInputData):
+    """
+    :ivar type: Specifies the type of monitoring input data. Set automatically to "Trailing" for this class.
+    :var type: MonitorInputDataType
+    """
+
     def __init__(
         self,
         *,
@@ -114,7 +126,7 @@ def __init__(
         pre_processing_component_id: str = None,
     ):
         super().__init__(
-            input_type="Trailing",
+            type=MonitorInputDataType.TRAILING,
             data_context=data_context,
             target_columns=target_columns,
             job_type=job_type,
@@ -150,6 +162,11 @@ def _from_rest_object(cls, obj: RestTrailingInputData) -> "TrailingInputData":
 
 @experimental
 class StaticInputData(MonitorInputData):
+    """
+    :ivar type: Specifies the type of monitoring input data. Set automatically to "Static" for this class.
+    :var type: MonitorInputDataType
+    """
+
     def __init__(
         self,
         *,
@@ -162,7 +179,7 @@ def __init__(
         window_end: str = None,
     ):
         super().__init__(
-            input_type="Static",
+            type=MonitorInputDataType.STATIC,
             data_context=data_context,
             target_columns=target_columns,
             job_type=job_type,