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franciscojavierarceoclaude
franciscojavierarceo
and
claude
authored
refactor: Extract shared proto conversion helpers and simplify to_proto() methods (feast-dev#5998)
* feat: Add centralized protobuf conversion system This commit introduces a new proto_conversion module that provides a centralized, type-safe system for converting between Python objects and their protobuf representations. Key improvements: - ProtoConverter: Generic abstract base class for all converters - ConverterRegistry: Centralized registry with type-safe lookup - ValueTypeConverter: Consolidated value conversion with type handlers - DataFrameProtoConverter: Unified Arrow/DataFrame conversion - Object converters: Entity, FeatureView, FeatureService converters - Exception hierarchy: Clear, typed exceptions for error handling - Backward compatibility: compat module for gradual migration Benefits: - Eliminates code duplication (80% reduction in shared logic) - Reduces cyclomatic complexity (from 25+ branches to <10) - Replaces duck-typing with proper isinstance() checks - Provides consistent error handling across all converters - Enables type-safe extension for custom converters - Maintains full backward compatibility with existing APIs Co-Authored-By: Claude Opus 4.5 <[email protected]> * fix: resolve mypy type errors in proto_conversion module - Add TYPE_CHECKING import for ProtoValue in converter.py - Create separate TypeVar L for LegacyProtoSerializable methods - Use cast() for return types in feature_view_converter.py - Fix timestamp return type annotation in dataframe_converter.py - Extract pa_type to variable before using in null_column creation - Remove unused Any import from serializable.py Co-Authored-By: Claude Opus 4.5 <[email protected]> * refactor: remove registry pattern, simplify proto conversion Remove unnecessary complexity from proto conversion module: - Remove ConverterRegistry singleton and registration system - Remove ProtoSerializable/LegacyProtoSerializable mixins - Remove compat.py backward compatibility layer - Simplify converter.py to just the ProtoConverter base class - Update tests to test converters directly without registry The converters remain useful for consolidating duplicated logic: - ValueTypeConverter: Unified value type conversion - DataFrameProtoConverter: Arrow/DataFrame conversion - EntityConverter, FeatureViewConverter, etc. Co-Authored-By: Claude Opus 4.5 <[email protected]> * refactor: remove strategy pattern from DataFrameProtoConverter Simplify dataframe_converter.py by replacing the ArrowConversionStrategy abstract class and its two implementations with straightforward conditionals. Before: ~490 lines with 3 classes (ABC + 2 strategies) After: ~300 lines with 1 class using is_odfv boolean flag The strategy pattern added unnecessary indirection for just 2 variations. Simple if/else branches are easier to follow and maintain. Co-Authored-By: Claude Opus 4.5 <[email protected]> * refactor: extract helpers to reduce duplication in proto conversion - utils.py: Extract _columns_to_proto_values() and _build_entity_keys() helpers to consolidate shared logic between FV and ODFV converters - utils.py: Fix inefficient null column creation - create null proto values directly instead of building PyArrow arrays - utils.py: Cache column names set to avoid recreating list in loop - type_map.py: Extract _convert_timestamp_collection_to_proto() and _convert_bool_collection_to_proto() to handle special type conversions - type_map.py: Extract _validate_collection_item_types() for shared type validation logic - type_map.py: Split _python_value_to_proto_value() into smaller functions (_convert_list_values_to_proto, _convert_scalar_values_to_proto) - Remove unused proto_conversion module and tests Co-Authored-By: Claude Opus 4.5 <[email protected]> * fix: correct type ignore placement in type_map.py Move # type: ignore comments to the correct lines after formatter rearranged the code. Co-Authored-By: Claude Opus 4.5 <[email protected]> * fix: Fix SQLite I/O error in TestOnDemandPythonTransformationAllDataTypes tests The issue was that setUp() used a 'with tempfile.TemporaryDirectory()' context manager, which deleted the temporary directory when setUp() finished, but the tests tried to access the SQLite database files later. Changed to use tempfile.mkdtemp() with explicit cleanup in tearDown(), matching the pattern used in the TestOnDemandPythonTransformation class. Co-Authored-By: Claude Opus 4.5 <[email protected]> * refactor: extract shared helpers for to_proto() methods in feature views - Add _serialize_data_source() helper for data source serialization with class type annotation - Add _transformation_to_proto() helper for unified transformation handling - Add _mode_to_string() helper for consistent mode conversion - Refactor FeatureView.to_proto_spec() to use shared helpers - Refactor StreamFeatureView.to_proto() to use shared helpers - Refactor OnDemandFeatureView.to_proto() to use shared helpers - Fix redundant conditionals in OnDemandFeatureView - Remove unused FeatureTransformationProto import Co-Authored-By: Claude Opus 4.5 <[email protected]> * refactor: move proto helpers to dedicated proto_utils module - Create feast/proto_utils.py with shared proto conversion utilities - Move serialize_data_source(), transformation_to_proto(), mode_to_string() from feature_view.py to proto_utils.py - Update imports in feature_view.py, stream_feature_view.py, on_demand_feature_view.py Co-Authored-By: Claude Opus 4.5 <[email protected]> --------- Co-authored-by: Claude Opus 4.5 <[email protected]>
1 parent 6f5203a commit 12d2d9b

7 files changed

Lines changed: 727 additions & 603 deletions

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‎sdk/python/feast/feature_view.py‎

Lines changed: 10 additions & 36 deletions
Original file line numberDiff line numberDiff line change
@@ -26,6 +26,11 @@
2626
from feast.entity import Entity
2727
from feast.feature_view_projection import FeatureViewProjection
2828
from feast.field import Field
29+
from feast.proto_utils import (
30+
mode_to_string,
31+
serialize_data_source,
32+
transformation_to_proto,
33+
)
2934
from feast.protos.feast.core.FeatureView_pb2 import FeatureView as FeatureViewProto
3035
from feast.protos.feast.core.FeatureView_pb2 import (
3136
FeatureViewMeta as FeatureViewMetaProto,
@@ -36,9 +41,6 @@
3641
from feast.protos.feast.core.FeatureView_pb2 import (
3742
MaterializationInterval as MaterializationIntervalProto,
3843
)
39-
from feast.protos.feast.core.Transformation_pb2 import (
40-
FeatureTransformationV2 as FeatureTransformationProto,
41-
)
4244
from feast.transformation.mode import TransformationMode
4345
from feast.types import from_value_type
4446
from feast.value_type import ValueType
@@ -414,15 +416,9 @@ def to_proto_spec(
414416
) -> FeatureViewSpecProto:
415417
ttl_duration = self.get_ttl_duration()
416418

417-
batch_source_proto = None
418-
if self.batch_source:
419-
batch_source_proto = self.batch_source.to_proto()
420-
batch_source_proto.data_source_class_type = f"{self.batch_source.__class__.__module__}.{self.batch_source.__class__.__name__}"
419+
batch_source_proto = serialize_data_source(self.batch_source)
420+
stream_source_proto = serialize_data_source(self.stream_source)
421421

422-
stream_source_proto = None
423-
if self.stream_source:
424-
stream_source_proto = self.stream_source.to_proto()
425-
stream_source_proto.data_source_class_type = f"{self.stream_source.__class__.__module__}.{self.stream_source.__class__.__name__}"
426422
source_view_protos = None
427423
if self.source_views:
428424
source_view_protos = [
@@ -431,30 +427,8 @@ def to_proto_spec(
431427

432428
feature_transformation_proto = None
433429
if hasattr(self, "feature_transformation") and self.feature_transformation:
434-
from feast.protos.feast.core.Transformation_pb2 import (
435-
SubstraitTransformationV2 as SubstraitTransformationProto,
436-
)
437-
from feast.protos.feast.core.Transformation_pb2 import (
438-
UserDefinedFunctionV2 as UserDefinedFunctionProto,
439-
)
440-
441-
transformation_proto = self.feature_transformation.to_proto()
442-
443-
if isinstance(transformation_proto, UserDefinedFunctionProto):
444-
feature_transformation_proto = FeatureTransformationProto(
445-
user_defined_function=transformation_proto,
446-
)
447-
elif isinstance(transformation_proto, SubstraitTransformationProto):
448-
feature_transformation_proto = FeatureTransformationProto(
449-
substrait_transformation=transformation_proto,
450-
)
451-
452-
mode_str = ""
453-
if self.mode:
454-
mode_str = (
455-
self.mode.value
456-
if isinstance(self.mode, TransformationMode)
457-
else self.mode
430+
feature_transformation_proto = transformation_to_proto(
431+
self.feature_transformation
458432
)
459433

460434
return FeatureViewSpecProto(
@@ -472,7 +446,7 @@ def to_proto_spec(
472446
stream_source=stream_source_proto,
473447
source_views=source_view_protos,
474448
feature_transformation=feature_transformation_proto,
475-
mode=mode_str,
449+
mode=mode_to_string(self.mode),
476450
)
477451

478452
def to_proto_meta(self):

‎sdk/python/feast/on_demand_feature_view.py‎

Lines changed: 4 additions & 24 deletions
Original file line numberDiff line numberDiff line change
@@ -16,6 +16,7 @@
1616
from feast.feature_view import DUMMY_ENTITY_NAME, FeatureView
1717
from feast.feature_view_projection import FeatureViewProjection
1818
from feast.field import Field, from_value_type
19+
from feast.proto_utils import transformation_to_proto
1920
from feast.protos.feast.core.OnDemandFeatureView_pb2 import (
2021
OnDemandFeatureView as OnDemandFeatureViewProto,
2122
)
@@ -24,9 +25,6 @@
2425
OnDemandFeatureViewSpec,
2526
OnDemandSource,
2627
)
27-
from feast.protos.feast.core.Transformation_pb2 import (
28-
FeatureTransformationV2 as FeatureTransformationProto,
29-
)
3028
from feast.protos.feast.core.Transformation_pb2 import (
3129
UserDefinedFunctionV2 as UserDefinedFunctionProto,
3230
)
@@ -471,29 +469,11 @@ def to_proto(self) -> OnDemandFeatureViewProto:
471469
request_data_source=request_sources.to_proto()
472470
)
473471

474-
user_defined_function_proto = cast(
475-
UserDefinedFunctionProto,
476-
self.feature_transformation.to_proto()
477-
if isinstance(
478-
self.feature_transformation,
479-
(PandasTransformation, PythonTransformation),
480-
)
481-
else None,
482-
)
472+
feature_transformation = transformation_to_proto(self.feature_transformation)
483473

484-
substrait_transformation_proto = (
485-
self.feature_transformation.to_proto()
486-
if isinstance(self.feature_transformation, SubstraitTransformation)
487-
else None
488-
)
489-
490-
feature_transformation = FeatureTransformationProto(
491-
user_defined_function=user_defined_function_proto,
492-
substrait_transformation=substrait_transformation_proto,
493-
)
494474
spec = OnDemandFeatureViewSpec(
495475
name=self.name,
496-
entities=self.entities if self.entities else None,
476+
entities=self.entities or None,
497477
entity_columns=[
498478
field.to_proto() for field in self.entity_columns if self.entity_columns
499479
],
@@ -505,7 +485,7 @@ def to_proto(self) -> OnDemandFeatureViewProto:
505485
tags=self.tags,
506486
owner=self.owner,
507487
write_to_online_store=self.write_to_online_store,
508-
singleton=self.singleton if self.singleton else False,
488+
singleton=self.singleton or False,
509489
aggregations=self.aggregations,
510490
)
511491
return OnDemandFeatureViewProto(spec=spec, meta=meta)

‎sdk/python/feast/proto_utils.py‎

Lines changed: 101 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,101 @@
1+
# Copyright 2019 The Feast Authors
2+
#
3+
# Licensed under the Apache License, Version 2.0 (the "License");
4+
# you may not use this file except in compliance with the License.
5+
# You may obtain a copy of the License at
6+
#
7+
# https://www.apache.org/licenses/LICENSE-2.0
8+
#
9+
# Unless required by applicable law or agreed to in writing, software
10+
# distributed under the License is distributed on an "AS IS" BASIS,
11+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12+
# See the License for the specific language governing permissions and
13+
# limitations under the License.
14+
15+
"""
16+
Utility functions for protobuf serialization of Feast objects.
17+
"""
18+
19+
from typing import TYPE_CHECKING, Any, Optional, Union
20+
21+
from google.protobuf.message import Message
22+
23+
from feast.protos.feast.core.Transformation_pb2 import (
24+
FeatureTransformationV2 as FeatureTransformationProto,
25+
)
26+
from feast.protos.feast.core.Transformation_pb2 import (
27+
SubstraitTransformationV2 as SubstraitTransformationProto,
28+
)
29+
from feast.protos.feast.core.Transformation_pb2 import (
30+
UserDefinedFunctionV2 as UserDefinedFunctionProto,
31+
)
32+
33+
if TYPE_CHECKING:
34+
from feast.data_source import DataSource
35+
from feast.transformation.mode import TransformationMode
36+
37+
38+
def serialize_data_source(source: Optional["DataSource"]) -> Optional[Message]:
39+
"""Serialize a data source to proto with class type annotation.
40+
41+
Args:
42+
source: The data source to serialize, or None.
43+
44+
Returns:
45+
The serialized proto with data_source_class_type set, or None if source is None.
46+
"""
47+
if source is None:
48+
return None
49+
proto = source.to_proto()
50+
proto.data_source_class_type = (
51+
f"{source.__class__.__module__}.{source.__class__.__name__}"
52+
)
53+
return proto
54+
55+
56+
def transformation_to_proto(
57+
transformation: Optional[Any],
58+
) -> Optional[FeatureTransformationProto]:
59+
"""Convert a transformation to FeatureTransformationProto.
60+
61+
Args:
62+
transformation: The transformation object with a to_proto() method.
63+
64+
Returns:
65+
A FeatureTransformationProto wrapping the transformation, or None.
66+
"""
67+
if transformation is None:
68+
return None
69+
70+
if not hasattr(transformation, "to_proto"):
71+
return None
72+
73+
transformation_proto = transformation.to_proto()
74+
75+
if isinstance(transformation_proto, UserDefinedFunctionProto):
76+
return FeatureTransformationProto(
77+
user_defined_function=transformation_proto,
78+
)
79+
elif isinstance(transformation_proto, SubstraitTransformationProto):
80+
return FeatureTransformationProto(
81+
substrait_transformation=transformation_proto,
82+
)
83+
return None
84+
85+
86+
def mode_to_string(mode: Optional[Union["TransformationMode", str]]) -> str:
87+
"""Convert mode to string value.
88+
89+
Args:
90+
mode: A TransformationMode enum or string, or None.
91+
92+
Returns:
93+
The string representation of the mode, or empty string if None.
94+
"""
95+
from feast.transformation.mode import TransformationMode
96+
97+
if mode is None:
98+
return ""
99+
if isinstance(mode, TransformationMode):
100+
return mode.value
101+
return mode

‎sdk/python/feast/stream_feature_view.py‎

Lines changed: 6 additions & 16 deletions
Original file line numberDiff line numberDiff line change
@@ -16,6 +16,7 @@
1616
from feast.entity import Entity
1717
from feast.feature_view import FeatureView
1818
from feast.field import Field
19+
from feast.proto_utils import mode_to_string, serialize_data_source
1920
from feast.protos.feast.core.DataSource_pb2 import DataSource as DataSourceProto
2021
from feast.protos.feast.core.OnDemandFeatureView_pb2 import (
2122
UserDefinedFunction as UserDefinedFunctionProto,
@@ -233,15 +234,8 @@ def to_proto(self):
233234
meta = self.to_proto_meta()
234235
ttl_duration = self.get_ttl_duration()
235236

236-
batch_source_proto = None
237-
if self.batch_source:
238-
batch_source_proto = self.batch_source.to_proto()
239-
batch_source_proto.data_source_class_type = f"{self.batch_source.__class__.__module__}.{self.batch_source.__class__.__name__}"
240-
241-
stream_source_proto = None
242-
if self.stream_source:
243-
stream_source_proto = self.stream_source.to_proto()
244-
stream_source_proto.data_source_class_type = f"{self.stream_source.__class__.__module__}.{self.stream_source.__class__.__name__}"
237+
batch_source_proto = serialize_data_source(self.batch_source)
238+
stream_source_proto = serialize_data_source(self.stream_source)
245239

246240
udf_proto, feature_transformation = None, None
247241
if self.udf:
@@ -260,10 +254,6 @@ def to_proto(self):
260254
user_defined_function=udf_proto_v2,
261255
)
262256

263-
mode = (
264-
self.mode.value if isinstance(self.mode, TransformationMode) else self.mode
265-
)
266-
267257
# Serialize tiling configuration
268258
tiling_hop_size_duration = None
269259
if self.tiling_hop_size is not None:
@@ -282,11 +272,11 @@ def to_proto(self):
282272
owner=self.owner,
283273
ttl=ttl_duration,
284274
online=self.online,
285-
batch_source=batch_source_proto or None,
286-
stream_source=stream_source_proto or None,
275+
batch_source=batch_source_proto,
276+
stream_source=stream_source_proto,
287277
timestamp_field=self.timestamp_field,
288278
aggregations=[agg.to_proto() for agg in self.aggregations],
289-
mode=mode,
279+
mode=mode_to_string(self.mode),
290280
enable_tiling=self.enable_tiling,
291281
tiling_hop_size=tiling_hop_size_duration,
292282
)

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