refactor!: Remove deprecated parameters from Entity and FeatureView

sdk/python/feast/entity.py

@@ -11,7 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-import warnings
 from datetime import datetime
 from typing import Dict, Optional
 
@@ -23,8 +22,6 @@
 from feast.usage import log_exceptions
 from feast.value_type import ValueType
 
-warnings.simplefilter("once", DeprecationWarning)
-
 
 class Entity:
     """
@@ -61,28 +58,15 @@ def __init__(
         value_type: ValueType = ValueType.UNKNOWN,
         description: str = "",
         join_key: Optional[str] = None,
-        tags: Dict[str, str] = None,
-        labels: Optional[Dict[str, str]] = None,
+        tags: Optional[Dict[str, str]] = None,
         owner: str = "",
     ):
         """Creates an Entity object."""
         self.name = name
         self.value_type = value_type
         self.join_key = join_key if join_key else name
         self.description = description
-
-        if labels is not None:
-            self.tags = labels
-            warnings.warn(
-                (
-                    "The parameter 'labels' is being deprecated. Please use 'tags' instead. "
-                    "Feast 0.20 and onwards will not support the parameter 'labels'."
-                ),
-                DeprecationWarning,
-            )
-        else:
-            self.tags = labels or tags or {}
-
+        self.tags = tags if tags is not None else {}
         self.owner = owner
         self.created_timestamp = None
         self.last_updated_timestamp = None

sdk/python/feast/feature_view.py

@@ -58,9 +58,7 @@ class FeatureView(BaseFeatureView):
         ttl: The amount of time this group of features lives. A ttl of 0 indicates that
             this group of features lives forever. Note that large ttl's or a ttl of 0
             can result in extremely computationally intensive queries.
-        input: The source of data where this group of features is stored.
-        batch_source (optional): The batch source of data where this group of features
-            is stored.
+        batch_source: The batch source of data where this group of features is stored.
         stream_source (optional): The stream source of data where this group of features
             is stored.
         features (optional): The set of features defined as part of this FeatureView.
@@ -72,7 +70,6 @@ class FeatureView(BaseFeatureView):
     tags: Optional[Dict[str, str]]
     ttl: timedelta
     online: bool
-    input: DataSource
     batch_source: DataSource
     stream_source: Optional[DataSource]
     materialization_intervals: List[Tuple[datetime, datetime]]
@@ -83,8 +80,7 @@ def __init__(
         name: str,
         entities: List[str],
         ttl: Union[Duration, timedelta],
-        input: Optional[DataSource] = None,
-        batch_source: Optional[DataSource] = None,
+        batch_source: DataSource,
         stream_source: Optional[DataSource] = None,
         features: Optional[List[Feature]] = None,
         tags: Optional[Dict[str, str]] = None,
@@ -96,26 +92,17 @@ def __init__(
         Raises:
             ValueError: A field mapping conflicts with an Entity or a Feature.
         """
-        if input is not None:
-            warnings.warn(
-                (
-                    "The argument 'input' is being deprecated. Please use 'batch_source' "
-                    "instead. Feast 0.13 and onwards will not support the argument 'input'."
-                ),
-                DeprecationWarning,
-            )
-
-        _input = input or batch_source
-        assert _input is not None
-
         _features = features or []
 
         cols = [entity for entity in entities] + [feat.name for feat in _features]
         for col in cols:
-            if _input.field_mapping is not None and col in _input.field_mapping.keys():
+            if (
+                batch_source.field_mapping is not None
+                and col in batch_source.field_mapping.keys()
+            ):
                 raise ValueError(
-                    f"The field {col} is mapped to {_input.field_mapping[col]} for this data source. "
-                    f"Please either remove this field mapping or use {_input.field_mapping[col]} as the "
+                    f"The field {col} is mapped to {batch_source.field_mapping[col]} for this data source. "
+                    f"Please either remove this field mapping or use {batch_source.field_mapping[col]} as the "
                     f"Entity or Feature name."
                 )
 
@@ -125,12 +112,19 @@ def __init__(
 
         if isinstance(ttl, Duration):
             self.ttl = timedelta(seconds=int(ttl.seconds))
+            warnings.warn(
+                (
+                    "The option to pass a Duration object to the ttl parameter is being deprecated. "
+                    "Please pass a timedelta object instead. Feast 0.21 and onwards will not support "
+                    "Duration objects."
+                ),
+                DeprecationWarning,
+            )
         else:
             self.ttl = ttl
 
         self.online = online
-        self.input = _input
-        self.batch_source = _input
+        self.batch_source = batch_source
         self.stream_source = stream_source
 
         self.materialization_intervals = []
@@ -144,7 +138,6 @@ def __copy__(self):
             name=self.name,
             entities=self.entities,
             ttl=self.ttl,
-            input=self.input,
             batch_source=self.batch_source,
             stream_source=self.stream_source,
             features=self.features,

sdk/python/feast/infra/offline_stores/offline_utils.py

@@ -115,7 +115,7 @@ def get_feature_view_query_context(
         join_keys = []
         entity_selections = []
         reverse_field_mapping = {
-            v: k for k, v in feature_view.input.field_mapping.items()
+            v: k for k, v in feature_view.batch_source.field_mapping.items()
         }
         for entity_name in feature_view.entities:
             entity = registry.get_entity(entity_name, project)
@@ -130,8 +130,8 @@ def get_feature_view_query_context(
         else:
             ttl_seconds = 0
 
-        event_timestamp_column = feature_view.input.event_timestamp_column
-        created_timestamp_column = feature_view.input.created_timestamp_column
+        event_timestamp_column = feature_view.batch_source.event_timestamp_column
+        created_timestamp_column = feature_view.batch_source.created_timestamp_column
 
         min_event_timestamp = None
         if feature_view.ttl:
@@ -148,15 +148,15 @@ def get_feature_view_query_context(
             features=[
                 reverse_field_mapping.get(feature, feature) for feature in features
             ],
-            field_mapping=feature_view.input.field_mapping,
+            field_mapping=feature_view.batch_source.field_mapping,
             event_timestamp_column=reverse_field_mapping.get(
                 event_timestamp_column, event_timestamp_column
             ),
             created_timestamp_column=reverse_field_mapping.get(
                 created_timestamp_column, created_timestamp_column
             ),
             # TODO: Make created column optional and not hardcoded
-            table_subquery=feature_view.input.get_table_query_string(),
+            table_subquery=feature_view.batch_source.get_table_query_string(),
             entity_selections=entity_selections,
             min_event_timestamp=min_event_timestamp,
             max_event_timestamp=max_event_timestamp,

sdk/python/feast/templates/local/example.py

@@ -1,6 +1,6 @@
 # This is an example feature definition file
 
-from google.protobuf.duration_pb2 import Duration
+from datetime import timedelta
 
 from feast import Entity, Feature, FeatureView, FileSource, ValueType
 
@@ -23,7 +23,7 @@
 driver_hourly_stats_view = FeatureView(
     name="driver_hourly_stats",
     entities=["driver_id"],
-    ttl=Duration(seconds=86400 * 1),
+    ttl=timedelta(days=1),
     features=[
         Feature(name="conv_rate", dtype=ValueType.FLOAT),
         Feature(name="acc_rate", dtype=ValueType.FLOAT),

sdk/python/feast/templates/spark/example.py

@@ -2,10 +2,9 @@
 # This is an example feature definition file  #
 # # # # # # # # # # # # # # # # # # # # # # # #
 
+from datetime import timedelta
 from pathlib import Path
 
-from google.protobuf.duration_pb2 import Duration
-
 from feast import Entity, Feature, FeatureView, ValueType
 from feast.infra.offline_stores.contrib.spark_offline_store.spark_source import (
     SparkSource,
@@ -41,7 +40,7 @@
 driver_hourly_stats_view = FeatureView(
     name="driver_hourly_stats",
     entities=["driver_id"],
-    ttl=Duration(seconds=86400 * 7),  # one week
+    ttl=timedelta(days=7),
     features=[
         Feature(name="conv_rate", dtype=ValueType.FLOAT),
         Feature(name="acc_rate", dtype=ValueType.FLOAT),
@@ -54,7 +53,7 @@
 customer_daily_profile_view = FeatureView(
     name="customer_daily_profile",
     entities=["customer_id"],
-    ttl=Duration(seconds=86400 * 7),  # one week
+    ttl=timedelta(days=7),
     features=[
         Feature(name="current_balance", dtype=ValueType.FLOAT),
         Feature(name="avg_passenger_count", dtype=ValueType.FLOAT),

sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py

@@ -1,4 +1,4 @@
-from google.protobuf.duration_pb2 import Duration
+from datetime import timedelta
 
 from feast import FeatureView, FileSource
 
@@ -11,7 +11,7 @@
     entities=["driver_id"],
     online=False,
     batch_source=driver_hourly_stats,
-    ttl=Duration(seconds=10),
+    ttl=timedelta(days=1),
     tags={},
 )
 
@@ -20,6 +20,6 @@
     entities=["driver_id"],
     online=False,
     batch_source=driver_hourly_stats,
-    ttl=Duration(seconds=10),
+    ttl=timedelta(days=1),
     tags={},
 )

sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py

@@ -1,4 +1,4 @@
-from google.protobuf.duration_pb2 import Duration
+from datetime import timedelta
 
 from feast import Entity, Feature, FeatureView, FileSource, ValueType
 
@@ -21,7 +21,7 @@
 driver_hourly_stats_view = FeatureView(
     name="driver_hourly_stats",
     entities=["driver_id"],
-    ttl=Duration(seconds=86400 * 1),
+    ttl=timedelta(days=1),
     features=[
         Feature(name="conv_rate", dtype=ValueType.FLOAT),
         Feature(name="acc_rate", dtype=ValueType.FLOAT),

sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py

@@ -219,7 +219,10 @@ def get_expected_training_df(
                 (
                     f"field_mapping__{feature}" if full_feature_names else feature
                 ): field_mapping_record.get(column, None)
-                for (column, feature) in field_mapping_fv.input.field_mapping.items()
+                for (
+                    column,
+                    feature,
+                ) in field_mapping_fv.batch_source.field_mapping.items()
             }
         )
 

sdk/python/tests/integration/scaffolding/test_partial_apply.py

@@ -1,5 +1,6 @@
+from datetime import timedelta
+
 import pytest
-from google.protobuf.duration_pb2 import Duration
 
 from feast import BigQuerySource, Feature, FeatureView, ValueType
 from tests.utils.cli_utils import CliRunner, get_example_repo
@@ -27,7 +28,7 @@ def test_partial() -> None:
         driver_locations_100 = FeatureView(
             name="driver_locations_100",
             entities=["driver"],
-            ttl=Duration(seconds=86400 * 1),
+            ttl=timedelta(days=1),
             features=[
                 Feature(name="lat", dtype=ValueType.FLOAT),
                 Feature(name="lon", dtype=ValueType.STRING),