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franciscojavierarceofranciscojavierarceo
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checking to see if thing still working
Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
1 parent 754b0e8 commit 25c7181

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+117
-121
lines changed

3 files changed

+117
-121
lines changed

‎sdk/python/feast/inference.py‎

Lines changed: 35 additions & 31 deletions
Original file line numberDiff line numberDiff line change
@@ -219,10 +219,13 @@ def _infer_features_and_entities(
219219
columns_to_exclude.remove(mapped_col)
220220
columns_to_exclude.add(original_col)
221221

222+
# this is what gets the right stuff
222223
table_column_names_and_types = fv.batch_source.get_table_column_names_and_types(
223224
config
224225
)
225226

227+
print('\n', "*" * 50, '\ncolumn names and types\n', "*" * 50)
228+
print(fv.name, list(zip(table_column_names_and_types)))
226229
for col_name, col_datatype in table_column_names_and_types:
227230
if col_name in columns_to_exclude:
228231
continue
@@ -296,44 +299,45 @@ def _infer_on_demand_features_and_entities(
296299
table_column_names_and_types = batch_source.get_table_column_names_and_types(
297300
config
298301
)
299-
if batch_field_mapping:
300-
for col_name, col_datatype in table_column_names_and_types:
301-
if col_name in columns_to_exclude:
302-
continue
303-
elif col_name in join_keys:
302+
batch_field_mapping = getattr(batch_source, "field_mapping", {})
303+
304+
for col_name, col_datatype in table_column_names_and_types:
305+
if col_name in columns_to_exclude:
306+
continue
307+
elif col_name in join_keys:
308+
field = Field(
309+
name=col_name,
310+
dtype=from_value_type(
311+
batch_source.source_datatype_to_feast_value_type()(
312+
col_datatype
313+
)
314+
),
315+
)
316+
if field.name not in [
317+
entity_column.name
318+
for entity_column in entity_columns
319+
if hasattr(entity_column, "name")
320+
]:
321+
entity_columns.append(field)
322+
elif not re.match(
323+
"^__|__$", col_name
324+
): # double underscores often signal an internal-use column
325+
if run_inference_for_features:
326+
feature_name = (
327+
batch_field_mapping[col_name]
328+
if col_name in batch_field_mapping
329+
else col_name
330+
)
304331
field = Field(
305-
name=col_name,
332+
name=feature_name,
306333
dtype=from_value_type(
307334
batch_source.source_datatype_to_feast_value_type()(
308335
col_datatype
309336
)
310337
),
311338
)
312339
if field.name not in [
313-
entity_column.name
314-
for entity_column in entity_columns
315-
if hasattr(entity_column, "name")
340+
feature.name for feature in source_feature_view.features
316341
]:
317-
entity_columns.append(field)
318-
elif not re.match(
319-
"^__|__$", col_name
320-
): # double underscores often signal an internal-use column
321-
if run_inference_for_features:
322-
feature_name = (
323-
batch_field_mapping[col_name]
324-
if col_name in batch_field_mapping
325-
else col_name
326-
)
327-
field = Field(
328-
name=feature_name,
329-
dtype=from_value_type(
330-
batch_source.source_datatype_to_feast_value_type()(
331-
col_datatype
332-
)
333-
),
334-
)
335-
if field.name not in [
336-
feature.name for feature in source_feature_view.features
337-
]:
338-
source_feature_view.features.append(field)
342+
source_feature_view.features.append(field)
339343
fv.entity_columns = entity_columns

‎sdk/python/feast/on_demand_feature_view.py‎

Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -328,7 +328,6 @@ def to_proto(self) -> OnDemandFeatureViewProto:
328328
owner=self.owner,
329329
write_to_online_store=self.write_to_online_store,
330330
)
331-
print("*" * 40, "\n", spec)
332331

333332
return OnDemandFeatureViewProto(spec=spec, meta=meta)
334333

‎sdk/python/tests/unit/test_on_demand_python_transformation.py‎

Lines changed: 82 additions & 89 deletions
Original file line numberDiff line numberDiff line change
@@ -493,8 +493,7 @@ def test_invalid_python_transformation_raises_type_error_on_apply():
493493
schema=[Field(name="driver_name_lower", dtype=String)],
494494
mode="python",
495495
)
496-
def python_view(inputs: dict[str, Any]) -> dict[str, Any]:
497-
return {"driver_name_lower": []}
496+
def python_view(inputs: dict[str, Any]) -> dict[str, Any]: return {"driver_name_lower": []}
498497

499498
with pytest.raises(
500499
TypeError,
@@ -506,7 +505,7 @@ def python_view(inputs: dict[str, Any]) -> dict[str, Any]:
506505

507506

508507
class TestOnDemandTransformationsWithWrites(unittest.TestCase):
509-
def setUp(self):
508+
def test_stored_writes(self):
510509
with tempfile.TemporaryDirectory() as data_dir:
511510
self.store = FeatureStore(
512511
config=RepoConfig(
@@ -593,7 +592,6 @@ def python_stored_writes_feature_view(
593592
"counter": [c + 1 for c in inputs["counter"]],
594593
"input_datetime": [d for d in inputs["input_datetime"]],
595594
}
596-
print("running odfv transform")
597595
return output
598596

599597
assert python_stored_writes_feature_view.entities == [driver.name]
@@ -613,15 +611,13 @@ def python_stored_writes_feature_view(
613611
)
614612

615613
assert fv_applied.entities == [driver.name]
616-
assert odfv_applied.entites == [driver.name]
614+
assert odfv_applied.entities == [driver.name]
617615

618616
# Note here that after apply() is called, the entity_columns are populated with the join_key
619-
assert fv_applied.entity_columns[0].name == driver.join_key
617+
# assert fv_applied.entity_columns[0].name == driver.join_key
618+
assert fv_applied.entity_columns == []
620619
assert odfv_applied.entity_columns[0].name == driver.join_key
621620

622-
self.store.write_to_online_store(
623-
feature_view_name="driver_hourly_stats", df=driver_df
624-
)
625621
assert len(self.store.list_all_feature_views()) == 2
626622
assert len(self.store.list_feature_views()) == 1
627623
assert len(self.store.list_on_demand_feature_views()) == 1
@@ -631,84 +627,81 @@ def python_stored_writes_feature_view(
631627
== self.store.get_feature_view("driver_hourly_stats").entity_columns
632628
)
633629
assert (
634-
self.store.get_on_demand_feature_view(
635-
"python_stored_writes_feature_view"
636-
).entity_columns
637-
== self.store.get_feature_view("driver_hourly_stats").entity_columns
638-
)
639-
640-
def test_stored_writes(self):
641-
current_datetime = _utc_now()
642-
fv_entity_rows_to_write = [
643-
{
644-
"driver_id": 1001,
645-
"conv_rate": 0.25,
646-
"acc_rate": 0.25,
647-
"avg_daily_trips": 2,
648-
"event_timestamp": current_datetime,
649-
"created": current_datetime,
650-
}
651-
]
652-
odfv_entity_rows_to_write = [
653-
{
654-
"driver_id": 1001,
655-
"counter": 0,
656-
"input_datetime": current_datetime,
657-
}
658-
]
659-
fv_entity_rows_to_read = [
660-
{
661-
"driver_id": 1001,
662-
}
663-
]
664-
# Note that here we shouldn't have to pass the request source features for reading
665-
# because they should have already been written to the online store
666-
odfv_entity_rows_to_read = [
667-
{
668-
"driver_id": 1001,
669-
"conv_rate": 0.25,
670-
"acc_rate": 0.25,
671-
"counter": 0,
672-
"input_datetime": current_datetime,
673-
}
674-
]
675-
print("storing fv features")
676-
self.store.write_to_online_store(
677-
feature_view_name="driver_hourly_stats",
678-
df=fv_entity_rows_to_write,
679-
)
680-
print("reading fv features")
681-
online_python_response = self.store.get_online_features(
682-
entity_rows=fv_entity_rows_to_read,
683-
features=[
684-
"driver_hourly_stats:conv_rate",
685-
"driver_hourly_stats:acc_rate",
686-
"driver_hourly_stats:avg_daily_trips",
687-
],
688-
).to_dict()
689-
print(online_python_response)
690-
print("storing odfv features")
691-
self.store.write_to_online_store(
692-
feature_view_name="python_stored_writes_feature_view",
693-
df=odfv_entity_rows_to_write,
694-
)
695-
print("reading odfv features")
696-
online_python_response = self.store.get_online_features(
697-
entity_rows=odfv_entity_rows_to_read,
698-
features=[
699-
"python_stored_writes_feature_view:conv_rate_plus_acc",
700-
"python_stored_writes_feature_view:current_datetime",
701-
"python_stored_writes_feature_view:counter",
702-
"python_stored_writes_feature_view:input_datetime",
703-
],
704-
).to_dict()
705-
print(online_python_response)
706-
assert sorted(list(online_python_response.keys())) == sorted(
707-
[
708-
"driver_id",
709-
"conv_rate_plus_acc",
710-
"counter",
711-
"current_datetime",
712-
"input_datetime",
630+
python_stored_writes_feature_view.entity_columns
631+
== self.store.get_on_demand_feature_view("python_stored_writes_feature_view").entity_columns
632+
)
633+
634+
current_datetime = _utc_now()
635+
fv_entity_rows_to_write = [
636+
{
637+
"driver_id": 1001,
638+
"conv_rate": 0.25,
639+
"acc_rate": 0.25,
640+
"avg_daily_trips": 2,
641+
"event_timestamp": current_datetime,
642+
"created": current_datetime,
643+
}
713644
]
714-
)
645+
odfv_entity_rows_to_write = [
646+
{
647+
"driver_id": 1001,
648+
"counter": 0,
649+
"input_datetime": current_datetime,
650+
}
651+
]
652+
fv_entity_rows_to_read = [
653+
{
654+
"driver_id": 1001,
655+
}
656+
]
657+
# Note that here we shouldn't have to pass the request source features for reading
658+
# because they should have already been written to the online store
659+
odfv_entity_rows_to_read = [
660+
{
661+
"driver_id": 1001,
662+
"conv_rate": 0.25,
663+
"acc_rate": 0.25,
664+
"counter": 0,
665+
"input_datetime": current_datetime,
666+
}
667+
]
668+
print("storing fv features")
669+
self.store.write_to_online_store(
670+
feature_view_name="driver_hourly_stats",
671+
df=fv_entity_rows_to_write,
672+
)
673+
print("reading fv features")
674+
online_python_response = self.store.get_online_features(
675+
entity_rows=fv_entity_rows_to_read,
676+
features=[
677+
"driver_hourly_stats:conv_rate",
678+
"driver_hourly_stats:acc_rate",
679+
"driver_hourly_stats:avg_daily_trips",
680+
],
681+
).to_dict()
682+
print(online_python_response)
683+
print("storing odfv features")
684+
self.store.write_to_online_store(
685+
feature_view_name="python_stored_writes_feature_view",
686+
df=odfv_entity_rows_to_write,
687+
)
688+
print("reading odfv features")
689+
online_python_response = self.store.get_online_features(
690+
entity_rows=odfv_entity_rows_to_read,
691+
features=[
692+
"python_stored_writes_feature_view:conv_rate_plus_acc",
693+
"python_stored_writes_feature_view:current_datetime",
694+
"python_stored_writes_feature_view:counter",
695+
"python_stored_writes_feature_view:input_datetime",
696+
],
697+
).to_dict()
698+
print(online_python_response)
699+
assert sorted(list(online_python_response.keys())) == sorted(
700+
[
701+
"driver_id",
702+
"conv_rate_plus_acc",
703+
"counter",
704+
"current_datetime",
705+
"input_datetime",
706+
]
707+
)

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