two version of R2R are hereHEADmaster

17 files changed, 764 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/__init__.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/__init__.py
new file mode 100644
index 00000000..fdf8caba
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/__init__.py
@@ -0,0 +1,5 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+__path__ = __import__("pkgutil").extend_path(__path__, __name__)
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/data_availability_status.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/data_availability_status.py
new file mode 100644
index 00000000..aa438f3b
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/data_availability_status.py
@@ -0,0 +1,15 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from enum import Enum
+from azure.core import CaseInsensitiveEnumMeta
+
+
+class DataAvailabilityStatus(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    """DataAvailabilityStatus."""
+
+    NONE = "None"
+    PENDING = "Pending"
+    INCOMPLETE = "Incomplete"
+    COMPLETE = "Complete"
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/delay_metadata.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/delay_metadata.py
new file mode 100644
index 00000000..66599605
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/delay_metadata.py
@@ -0,0 +1,17 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+# pylint: disable=unused-argument
+
+
+from typing import Any, Optional
+
+
+class DelayMetadata(object):
+    def __init__(
+        self, *, days: Optional[int] = None, hours: Optional[int] = None, minutes: Optional[int] = None, **kwargs: Any
+    ):
+        self.days = days
+        self.hours = hours
+        self.minutes = minutes
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature.py
new file mode 100644
index 00000000..2cc54815
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature.py
@@ -0,0 +1,54 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+# pylint: disable=unused-argument
+
+from typing import Any, Dict, Optional
+
+from azure.ai.ml._restclient.v2023_10_01.models import Feature as RestFeature
+from azure.ai.ml._restclient.v2023_10_01.models import FeatureProperties
+from azure.ai.ml.entities._feature_store_entity.data_column_type import DataColumnType
+from azure.ai.ml.entities._mixins import RestTranslatableMixin
+
+
+class Feature(RestTranslatableMixin):
+    """Feature
+
+    :param name: The name of the feature.
+    :type name: str
+    :param data_type: The data type of the feature.
+    :type data_type: ~azure.ai.ml.entities.DataColumnType
+    :param description: The description of the feature. Defaults to None.
+    :type description: Optional[str]
+    :param tags: Tag dictionary. Tags can be added, removed, and updated. Defaults to None.
+    :type tags: Optional[dict[str, str]]
+    :param kwargs: A dictionary of additional configuration parameters.
+    :type kwargs: dict
+    """
+
+    def __init__(
+        self,
+        *,
+        name: str,
+        data_type: DataColumnType,
+        description: Optional[str] = None,
+        tags: Optional[Dict[str, str]] = None,
+        **kwargs: Any
+    ):
+        self.name = name
+        self.data_type = data_type
+        self.description = description
+        self.tags = tags
+
+    @classmethod
+    def _from_rest_object(cls, obj: RestFeature) -> Optional["Feature"]:
+        if not obj:
+            return None
+        feature_rest_object_details: FeatureProperties = obj.properties
+        return Feature(
+            name=feature_rest_object_details.feature_name,
+            data_type=feature_rest_object_details.data_type,
+            description=feature_rest_object_details.description,
+            tags=feature_rest_object_details.tags,
+        )
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_set_backfill_metadata.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_set_backfill_metadata.py
new file mode 100644
index 00000000..652908e9
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_set_backfill_metadata.py
@@ -0,0 +1,39 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from typing import Any, List, Optional
+
+from azure.ai.ml._restclient.v2023_10_01.models import (
+    FeaturesetVersionBackfillResponse as RestFeaturesetVersionBackfillResponse,
+)
+from azure.ai.ml.entities._mixins import RestTranslatableMixin
+
+
+class FeatureSetBackfillMetadata(RestTranslatableMixin):
+    """Feature Set Backfill Metadata
+
+    :param job_ids: A list of IDs of the backfill jobs. Defaults to None.
+    :type job_ids: Optional[List[str]]
+    :param type: The type of the backfill job. Defaults to None.
+    :type type: Optional[str]
+    :param kwargs: A dictionary of additional configuration parameters.
+    :type kwargs: dict
+    """
+
+    def __init__(
+        self,
+        *,
+        job_ids: Optional[List[str]] = None,
+        type: Optional[str] = None,  # pylint: disable=redefined-builtin
+        # pylint: disable=unused-argument
+        **kwargs: Any
+    ) -> None:
+        self.type = type if type else "BackfillMaterialization"
+        self.job_ids = job_ids
+
+    @classmethod
+    def _from_rest_object(cls, obj: RestFeaturesetVersionBackfillResponse) -> Optional["FeatureSetBackfillMetadata"]:
+        if not obj:
+            return None
+        return FeatureSetBackfillMetadata(job_ids=obj.job_ids)
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_set_backfill_request.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_set_backfill_request.py
new file mode 100644
index 00000000..0baebf4c
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_set_backfill_request.py
@@ -0,0 +1,91 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+# pylint: disable=unused-argument
+
+from os import PathLike
+from pathlib import Path
+from typing import Any, Dict, List, Optional, Tuple, Union
+
+from azure.ai.ml._schema._feature_set.feature_set_backfill_schema import FeatureSetBackfillSchema
+from azure.ai.ml.constants._common import BASE_PATH_CONTEXT_KEY, PARAMS_OVERRIDE_KEY
+from azure.ai.ml.entities._feature_set.feature_window import FeatureWindow
+from azure.ai.ml.entities._feature_set.materialization_compute_resource import MaterializationComputeResource
+from azure.ai.ml.entities._mixins import RestTranslatableMixin
+from azure.ai.ml.entities._util import load_from_dict
+
+
+class FeatureSetBackfillRequest(RestTranslatableMixin):
+    """Feature Set Backfill Request
+
+    :param name: The name of the backfill job request
+    :type name: str
+    :param version: The version of the backfill job request.
+    :type version: str
+    :param feature_window: The time window for the feature set backfill request.
+    :type feature_window: ~azure.ai.ml._restclient.v2023_04_01_preview.models.FeatureWindow
+    :param description: The description of the backfill job request. Defaults to None.
+    :type description: Optional[str]
+    :param tags: Tag dictionary. Tags can be added, removed, and updated. Defaults to None.
+    :type tags: Optional[dict[str, str]]
+    :keyword resource: The compute resource settings. Defaults to None.
+    :paramtype resource: Optional[~azure.ai.ml.entities.MaterializationComputeResource]
+    :param spark_configuration: Specifies the spark configuration. Defaults to None.
+    :type spark_configuration: Optional[dict[str, str]]
+    """
+
+    def __init__(
+        self,
+        *,
+        name: str,
+        version: str,
+        feature_window: Optional[FeatureWindow] = None,
+        description: Optional[str] = None,
+        tags: Optional[Dict[str, str]] = None,
+        resource: Optional[MaterializationComputeResource] = None,
+        spark_configuration: Optional[Dict[str, str]] = None,
+        data_status: Optional[List[str]] = None,
+        job_id: Optional[str] = None,
+        **kwargs: Any,
+    ):
+        self.name = name
+        self.version = version
+        self.feature_window = feature_window
+        self.description = description
+        self.resource = resource
+        self.tags = tags
+        self.spark_configuration = spark_configuration
+        self.data_status = data_status
+        self.job_id = job_id
+
+    @classmethod
+    # pylint: disable=unused-argument
+    def _resolve_cls_and_type(cls, data: Dict, params_override: Tuple) -> Tuple:
+        """Resolve the class to use for deserializing the data. Return current class if no override is provided.
+
+        :param data: Data to deserialize.
+        :type data: dict
+        :param params_override: Parameters to override, defaults to None
+        :type params_override: typing.Optional[list]
+        :return: Class to use for deserializing the data & its "type". Type will be None if no override is provided.
+        :rtype: tuple[class, typing.Optional[str]]
+        """
+        return cls, None
+
+    @classmethod
+    def _load(
+        cls,
+        data: Optional[Dict] = None,
+        yaml_path: Optional[Union[PathLike, str]] = None,
+        params_override: Optional[list] = None,
+        **kwargs: Any,
+    ) -> "FeatureSetBackfillRequest":
+        data = data or {}
+        params_override = params_override or []
+        context = {
+            BASE_PATH_CONTEXT_KEY: Path(yaml_path).parent if yaml_path else Path("./"),
+            PARAMS_OVERRIDE_KEY: params_override,
+        }
+        loaded_schema = load_from_dict(FeatureSetBackfillSchema, data, context, **kwargs)
+        return FeatureSetBackfillRequest(**loaded_schema)
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_set_materialization_metadata.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_set_materialization_metadata.py
new file mode 100644
index 00000000..afcf3fd1
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_set_materialization_metadata.py
@@ -0,0 +1,98 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from datetime import datetime, timedelta
+from typing import Any, Dict, Optional
+
+from azure.ai.ml._restclient.v2023_10_01.models import JobBase as RestJobBase
+from azure.ai.ml.entities._mixins import RestTranslatableMixin
+from azure.ai.ml.entities._system_data import SystemData
+
+from .materialization_type import MaterializationType
+
+FeaturestoreJobTypeMap: Dict[str, MaterializationType] = {
+    "BackfillMaterialization": MaterializationType.BACKFILL_MATERIALIZATION,
+    "RecurrentMaterialization": MaterializationType.RECURRENT_MATERIALIZATION,
+}
+
+
+class FeatureSetMaterializationMetadata(RestTranslatableMixin):
+    """Feature Set Materialization Metadata
+
+    :param type: The type of the materialization job.
+    :type type: MaterializationType
+    :param feature_window_start_time: The feature window start time for the feature set materialization job.
+    :type feature_window_start_time: Optional[datetime]
+    :param feature_window_end_time: The feature window end time for the feature set materialization job.
+    :type feature_window_end_time: Optional[datetime]
+    :param name: The name of the feature set materialization job.
+    :type name: Optional[str]
+    :param display_name: The display name for the feature set materialization job.
+    :type display_name: Optional[str]
+    :param creation_context: The creation context of the feature set materialization job.
+    :type creation_context: Optional[~azure.ai.ml.entities.SystemData]
+    :param duration: current time elapsed for feature set materialization job.
+    :type duration: Optional[~datetime.timedelta]
+    :param status: The status of the feature set materialization job.
+    :type status: Optional[str]
+    :param tags: Tag dictionary. Tags can be added, removed, and updated.
+    :type tags: Optional[dict[str, str]]
+    :param kwargs: A dictionary of additional configuration parameters.
+    :type kwargs: dict
+    """
+
+    def __init__(
+        self,
+        *,
+        # pylint: disable=redefined-builtin
+        type: Optional[MaterializationType],
+        feature_window_start_time: Optional[datetime],
+        feature_window_end_time: Optional[datetime],
+        name: Optional[str],
+        display_name: Optional[str],
+        creation_context: Optional[SystemData],
+        duration: Optional[timedelta],
+        status: Optional[str],
+        tags: Optional[Dict[str, str]],
+        # pylint: disable=unused-argument
+        **kwargs: Any,
+    ):
+        self.type = type
+        self.feature_window_start_time = feature_window_start_time
+        self.feature_window_end_time = feature_window_end_time
+        self.name = name
+        self.display_name = display_name
+        self.creation_context = creation_context
+        self.duration = duration
+        self.status = status
+        self.tags = tags
+
+    @classmethod
+    def _from_rest_object(cls, obj: RestJobBase) -> Optional["FeatureSetMaterializationMetadata"]:
+        if not obj:
+            return None
+        job_properties = obj.properties
+        job_type = job_properties.properties.get("azureml.FeatureStoreJobType", None)
+        feature_window_start_time = job_properties.properties.get("azureml.FeatureWindowStart", None)
+        feature_window_end_time = job_properties.properties.get("azureml.FeatureWindowEnd", None)
+
+        time_format = "%Y-%m-%dT%H:%M:%SZ"
+        feature_window_start_time = (
+            datetime.strptime(feature_window_start_time, time_format) if feature_window_start_time else None
+        )
+        feature_window_end_time = (
+            datetime.strptime(feature_window_end_time, time_format) if feature_window_end_time else None
+        )
+
+        return FeatureSetMaterializationMetadata(
+            type=FeaturestoreJobTypeMap.get(job_type),
+            feature_window_start_time=feature_window_start_time,
+            feature_window_end_time=feature_window_end_time,
+            name=obj.name,
+            display_name=job_properties.display_name,
+            creation_context=SystemData(created_at=obj.system_data.created_at),
+            status=job_properties.status,
+            tags=job_properties.tags,
+            duration=None,
+        )
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_set_specification.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_set_specification.py
new file mode 100644
index 00000000..88ed093f
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_set_specification.py
@@ -0,0 +1,46 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from os import PathLike
+from typing import Any, Optional, Union
+
+from azure.ai.ml._restclient.v2023_10_01.models import FeaturesetSpecification as RestFeaturesetSpecification
+from azure.ai.ml.entities._mixins import RestTranslatableMixin
+
+
+class FeatureSetSpecification(RestTranslatableMixin):
+    """Feature Set Specification
+
+    :param path: Specifies the feature set spec path to file. Defaults to None.
+    :type path: Optional[str]
+    :param kwargs: A dictionary of additional configuration parameters.
+    :type kwargs: dict
+
+    .. admonition:: Example:
+
+        .. literalinclude:: ../samples/ml_samples_featurestore.py
+            :start-after: [START configure_feature_set]
+            :end-before: [END configure_feature_set]
+            :language: python
+            :dedent: 8
+            :caption: Using Feature Set Spec to create Feature Set
+    """
+
+    def __init__(
+        self, *, path: Optional[Union[PathLike, str]] = None, **kwargs: Any
+    ):  # pylint: disable=unused-argument
+        """
+        :param path: Specifies the spec path.
+        :type path: str
+        """
+        self.path = path
+
+    def _to_rest_object(self) -> RestFeaturesetSpecification:
+        return RestFeaturesetSpecification(path=self.path)
+
+    @classmethod
+    def _from_rest_object(cls, obj: RestFeaturesetSpecification) -> Optional["FeatureSetSpecification"]:
+        if not obj:
+            return None
+        return FeatureSetSpecification(path=obj.path)
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_transformation_code_metadata.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_transformation_code_metadata.py
new file mode 100644
index 00000000..5fd8544e
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_transformation_code_metadata.py
@@ -0,0 +1,13 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+# pylint: disable=unused-argument
+
+from typing import Any, Optional
+
+
+class FeatureTransformationCodeMetadata(object):
+    def __init__(self, *, path: str, transformer_class: Optional[str] = None, **kwargs: Any):
+        self.path = path
+        self.transformer_class = transformer_class
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_window.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_window.py
new file mode 100644
index 00000000..758d1ecf
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/feature_window.py
@@ -0,0 +1,34 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from datetime import datetime
+from typing import Any, Optional
+
+from azure.ai.ml._restclient.v2023_10_01.models import FeatureWindow as RestFeatureWindow
+from azure.ai.ml.entities._mixins import RestTranslatableMixin
+
+
+class FeatureWindow(RestTranslatableMixin):
+    """Feature window
+    :keyword feature_window_end: Specifies the feature window end time.
+    :paramtype feature_window_end: ~datetime.datetime
+    :keyword feature_window_start: Specifies the feature window start time.
+    :paramtype feature_window_start: ~datetime.datetime
+    """
+
+    # pylint: disable=unused-argument
+    def __init__(self, *, feature_window_start: datetime, feature_window_end: datetime, **kwargs: Any) -> None:
+        self.feature_window_start = feature_window_start
+        self.feature_window_end = feature_window_end
+
+    def _to_rest_object(self) -> RestFeatureWindow:
+        return RestFeatureWindow(
+            feature_window_start=self.feature_window_start, feature_window_end=self.feature_window_end
+        )
+
+    @classmethod
+    def _from_rest_object(cls, obj: RestFeatureWindow) -> Optional["FeatureWindow"]:
+        if not obj:
+            return None
+        return FeatureWindow(feature_window_start=obj.feature_window_start, feature_window_end=obj.feature_window_end)
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/featureset_spec_metadata.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/featureset_spec_metadata.py
new file mode 100644
index 00000000..4178b074
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/featureset_spec_metadata.py
@@ -0,0 +1,101 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+
+from os import PathLike
+from pathlib import Path
+from typing import Any, Dict, List, Optional, Union
+
+from marshmallow import INCLUDE
+
+from azure.ai.ml._schema._feature_set.featureset_spec_metadata_schema import FeaturesetSpecMetadataSchema
+from azure.ai.ml._schema._feature_set.featureset_spec_properties_schema import FeaturesetSpecPropertiesSchema
+from azure.ai.ml._utils.utils import load_yaml
+from azure.ai.ml.constants._common import BASE_PATH_CONTEXT_KEY
+from azure.ai.ml.entities._feature_store_entity.data_column import DataColumn
+from azure.ai.ml.entities._util import load_from_dict
+from azure.ai.ml.exceptions import ErrorCategory, ErrorTarget, ValidationErrorType, ValidationException
+
+from .delay_metadata import DelayMetadata
+from .feature import Feature
+from .feature_transformation_code_metadata import FeatureTransformationCodeMetadata
+from .source_metadata import SourceMetadata
+
+
+class FeaturesetSpecMetadata(object):
+    """FeaturesetSpecMetadata for feature-set."""
+
+    def __init__(
+        self,
+        *,
+        source: SourceMetadata,
+        feature_transformation_code: Optional[FeatureTransformationCodeMetadata] = None,
+        features: List[Feature],
+        index_columns: Optional[List[DataColumn]] = None,
+        source_lookback: Optional[DelayMetadata] = None,
+        temporal_join_lookback: Optional[DelayMetadata] = None,
+        **_kwargs: Any,
+    ):
+        if source.type == "featureset" and index_columns:
+            msg = f"You cannot provide index_columns for {source.type} feature source."
+            raise ValidationException(
+                message=msg,
+                no_personal_data_message=msg,
+                error_type=ValidationErrorType.INVALID_VALUE,
+                target=ErrorTarget.FEATURE_SET,
+                error_category=ErrorCategory.USER_ERROR,
+            )
+        if not index_columns and source.type != "featureset":
+            msg = f"You need to provide index_columns for {source.type} feature source."
+            raise ValidationException(
+                message=msg,
+                no_personal_data_message=msg,
+                error_type=ValidationErrorType.INVALID_VALUE,
+                target=ErrorTarget.FEATURE_SET,
+                error_category=ErrorCategory.USER_ERROR,
+            )
+        self.source = source
+        self.feature_transformation_code = feature_transformation_code
+        self.features = features
+        self.index_columns = index_columns
+        self.source_lookback = source_lookback
+        self.temporal_join_lookback = temporal_join_lookback
+
+    @classmethod
+    def load(
+        cls,
+        yaml_path: Union[PathLike, str],
+        **kwargs: Any,
+    ) -> "FeaturesetSpecMetadata":
+        """Construct an FeaturesetSpecMetadata object from yaml file.
+
+        :param yaml_path: Path to a local file as the source.
+        :type yaml_path: PathLike | str
+
+        :return: Constructed FeaturesetSpecMetadata object.
+        :rtype: FeaturesetSpecMetadata
+        """
+        yaml_dict = load_yaml(yaml_path)
+        return cls._load(yaml_data=yaml_dict, yaml_path=yaml_path, **kwargs)
+
+    @classmethod
+    def _load(
+        cls,
+        yaml_data: Optional[Dict],
+        yaml_path: Optional[Union[PathLike, str]],
+        **kwargs: Any,
+    ) -> "FeaturesetSpecMetadata":
+        yaml_data = yaml_data or {}
+        context = {
+            BASE_PATH_CONTEXT_KEY: Path(yaml_path).parent if yaml_path else Path("./"),
+        }
+        res: FeaturesetSpecMetadata = load_from_dict(
+            FeaturesetSpecMetadataSchema, yaml_data, context, "", unknown=INCLUDE, **kwargs
+        )
+
+        return res
+
+    def _to_dict(self) -> Dict:
+        res: dict = FeaturesetSpecPropertiesSchema(context={BASE_PATH_CONTEXT_KEY: "./"}, unknown=INCLUDE).dump(self)
+        return res
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/materialization_compute_resource.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/materialization_compute_resource.py
new file mode 100644
index 00000000..5bcff24b
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/materialization_compute_resource.py
@@ -0,0 +1,41 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from typing import Any, Optional
+
+from azure.ai.ml._restclient.v2023_10_01.models import (
+    MaterializationComputeResource as RestMaterializationComputeResource,
+)
+from azure.ai.ml.entities._mixins import RestTranslatableMixin
+
+
+class MaterializationComputeResource(RestTranslatableMixin):
+    """Materialization Compute resource
+
+    :keyword instance_type: The compute instance type.
+    :paramtype instance_type: str
+    :param kwargs: A dictionary of additional configuration parameters.
+    :type kwargs: dict
+
+    .. admonition:: Example:
+
+        .. literalinclude:: ../samples/ml_samples_compute.py
+            :start-after: [START materialization_compute_resource]
+            :end-before: [END materialization_compute_resource]
+            :language: python
+            :dedent: 8
+            :caption: Creating a MaterializationComputeResource object.
+    """
+
+    def __init__(self, *, instance_type: str, **kwargs: Any):  # pylint: disable=unused-argument
+        self.instance_type = instance_type
+
+    def _to_rest_object(self) -> RestMaterializationComputeResource:
+        return RestMaterializationComputeResource(instance_type=self.instance_type)
+
+    @classmethod
+    def _from_rest_object(cls, obj: RestMaterializationComputeResource) -> Optional["MaterializationComputeResource"]:
+        if not obj:
+            return None
+        return MaterializationComputeResource(instance_type=obj.instance_type)
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/materialization_settings.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/materialization_settings.py
new file mode 100644
index 00000000..cf6f12e0
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/materialization_settings.py
@@ -0,0 +1,100 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from typing import Any, Dict, Optional
+
+from azure.ai.ml._restclient.v2023_10_01.models import MaterializationSettings as RestMaterializationSettings
+from azure.ai.ml._restclient.v2023_10_01.models import MaterializationStoreType
+from azure.ai.ml.entities._feature_set.materialization_compute_resource import MaterializationComputeResource
+from azure.ai.ml.entities._mixins import RestTranslatableMixin
+from azure.ai.ml.entities._notification.notification import Notification
+from azure.ai.ml.entities._schedule.trigger import RecurrenceTrigger
+
+
+class MaterializationSettings(RestTranslatableMixin):
+    """Defines materialization settings.
+
+    :keyword schedule: The schedule details. Defaults to None.
+    :paramtype schedule: Optional[~azure.ai.ml.entities.RecurrenceTrigger]
+    :keyword offline_enabled: Boolean that specifies if offline store is enabled. Defaults to None.
+    :paramtype offline_enabled: Optional[bool]
+    :keyword online_enabled: Boolean that specifies if online store is enabled. Defaults to None.
+    :paramtype online_enabled: Optional[bool]
+    :keyword notification: The notification details. Defaults to None.
+    :paramtype notification: Optional[~azure.ai.ml.entities.Notification]
+    :keyword resource: The compute resource settings. Defaults to None.
+    :paramtype resource: Optional[~azure.ai.ml.entities.MaterializationComputeResource]
+    :keyword spark_configuration: The spark compute settings. Defaults to None.
+    :paramtype spark_configuration: Optional[dict[str, str]]
+    :param kwargs: A dictionary of additional configuration parameters.
+    :type kwargs: dict
+
+    .. admonition:: Example:
+
+        .. literalinclude:: ../samples/ml_samples_spark_configurations.py
+            :start-after: [START materialization_setting_configuration]
+            :end-before: [END materialization_setting_configuration]
+            :language: python
+            :dedent: 8
+            :caption: Configuring MaterializationSettings.
+    """
+
+    def __init__(
+        self,
+        *,
+        schedule: Optional[RecurrenceTrigger] = None,
+        offline_enabled: Optional[bool] = None,
+        online_enabled: Optional[bool] = None,
+        notification: Optional[Notification] = None,
+        resource: Optional[MaterializationComputeResource] = None,
+        spark_configuration: Optional[Dict[str, str]] = None,
+        # pylint: disable=unused-argument
+        **kwargs: Any,
+    ) -> None:
+        self.schedule = schedule
+        self.offline_enabled = offline_enabled
+        self.online_enabled = online_enabled
+        self.notification = notification
+        self.resource = resource
+        self.spark_configuration = spark_configuration
+
+    def _to_rest_object(self) -> RestMaterializationSettings:
+        store_type = None
+        if self.offline_enabled and self.online_enabled:
+            store_type = MaterializationStoreType.ONLINE_AND_OFFLINE
+        elif self.offline_enabled:
+            store_type = MaterializationStoreType.OFFLINE
+        elif self.online_enabled:
+            store_type = MaterializationStoreType.ONLINE
+        else:
+            store_type = MaterializationStoreType.NONE
+
+        return RestMaterializationSettings(
+            schedule=self.schedule._to_rest_object() if self.schedule else None,  # pylint: disable=protected-access
+            notification=(
+                self.notification._to_rest_object() if self.notification else None  # pylint: disable=protected-access
+            ),
+            resource=self.resource._to_rest_object() if self.resource else None,  # pylint: disable=protected-access
+            spark_configuration=self.spark_configuration,
+            store_type=store_type,
+        )
+
+    @classmethod
+    def _from_rest_object(cls, obj: RestMaterializationSettings) -> Optional["MaterializationSettings"]:
+        if not obj:
+            return None
+        return MaterializationSettings(
+            schedule=(
+                RecurrenceTrigger._from_rest_object(obj.schedule)  # pylint: disable=protected-access
+                if obj.schedule
+                else None
+            ),
+            notification=Notification._from_rest_object(obj.notification),  # pylint: disable=protected-access
+            resource=MaterializationComputeResource._from_rest_object(obj.resource),  # pylint: disable=protected-access
+            spark_configuration=obj.spark_configuration,
+            offline_enabled=obj.store_type
+            in {MaterializationStoreType.OFFLINE, MaterializationStoreType.ONLINE_AND_OFFLINE},
+            online_enabled=obj.store_type
+            in {MaterializationStoreType.ONLINE, MaterializationStoreType.ONLINE_AND_OFFLINE},
+        )
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/materialization_type.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/materialization_type.py
new file mode 100644
index 00000000..912d69fc
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/materialization_type.py
@@ -0,0 +1,14 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from enum import Enum
+
+from azure.core import CaseInsensitiveEnumMeta
+
+
+class MaterializationType(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+    """Materialization Type Enum"""
+
+    RECURRENT_MATERIALIZATION = 1
+    BACKFILL_MATERIALIZATION = 2
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/source_metadata.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/source_metadata.py
new file mode 100644
index 00000000..1c9e55fe
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/source_metadata.py
@@ -0,0 +1,69 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+# pylint: disable=redefined-builtin,disable=unused-argument
+
+from typing import Any, Dict, Optional
+
+from azure.ai.ml.entities._feature_set.source_process_code_metadata import SourceProcessCodeMetadata
+from azure.ai.ml.exceptions import ErrorCategory, ErrorTarget, ValidationErrorType, ValidationException
+
+from .delay_metadata import DelayMetadata
+from .timestamp_column_metadata import TimestampColumnMetadata
+
+
+class SourceMetadata(object):
+    def __init__(
+        self,
+        *,
+        type: str,
+        timestamp_column: Optional[TimestampColumnMetadata] = None,
+        path: Optional[str] = None,
+        source_delay: Optional[DelayMetadata] = None,
+        source_process_code: Optional[SourceProcessCodeMetadata] = None,
+        dict: Optional[Dict] = None,
+        **kwargs: Any,
+    ):
+        if type == "custom":
+            # For custom feature source
+            # Required: timestamp_column, dict and source_process_code.
+            # Not support: path.
+            if path:
+                self.throw_exception("path", type, should_provide=False)
+            if not (timestamp_column and dict and source_process_code):
+                self.throw_exception("timestamp_column/dict/source_process_code", type, should_provide=True)
+        elif type == "featureset":
+            # For featureset feature source
+            # Required: path.
+            # Not support: timestamp_column, source_delay and source_process_code.
+            if timestamp_column or source_delay or source_process_code:
+                self.throw_exception("timestamp_column/source_delay/source_process_code", type, should_provide=False)
+            if not path:
+                self.throw_exception("path", type, should_provide=True)
+        else:
+            # For other type feature source
+            # Required: timestamp_column, path.
+            # Not support: source_process_code, dict
+            if dict or source_process_code:
+                self.throw_exception("dict/source_process_code", type, should_provide=False)
+            if not (timestamp_column and path):
+                self.throw_exception("timestamp_column/path", type, should_provide=True)
+        self.type = type
+        self.path = path
+        self.timestamp_column = timestamp_column
+        self.source_delay = source_delay
+        self.source_process_code = source_process_code
+        self.kwargs = dict
+
+    @staticmethod
+    def throw_exception(property_names: str, type: str, should_provide: bool):
+        should_or_not = "need to" if should_provide else "cannot"
+        msg = f"You {should_or_not} provide {property_names} for {type} feature source."
+        raise ValidationException(
+            message=msg,
+            no_personal_data_message=msg,
+            error_type=ValidationErrorType.INVALID_VALUE,
+            target=ErrorTarget.FEATURE_SET,
+            error_category=ErrorCategory.USER_ERROR,
+        )
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/source_process_code_metadata.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/source_process_code_metadata.py
new file mode 100644
index 00000000..415785da
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/source_process_code_metadata.py
@@ -0,0 +1,13 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+# pylint: disable=unused-argument
+
+from typing import Any, Optional
+
+
+class SourceProcessCodeMetadata(object):
+    def __init__(self, *, path: str, process_class: Optional[str] = None, **kwargs: Any):
+        self.path = path
+        self.process_class = process_class
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/timestamp_column_metadata.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/timestamp_column_metadata.py
new file mode 100644
index 00000000..833088af
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_feature_set/timestamp_column_metadata.py
@@ -0,0 +1,14 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+# pylint: disable=redefined-builtin,disable=unused-argument
+
+
+from typing import Any, Optional
+
+
+class TimestampColumnMetadata(object):
+    def __init__(self, *, name: str, format: Optional[str] = None, **kwargs: Any):
+        self.name = name
+        self.format = format