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fix: Return python mode ODFV features with full feature names by breken-ai · Pull Request #6900 · feast-dev/feast · GitHub
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fix: Return python mode ODFV features with full feature names #6900

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fix: Return python mode ODFV features with full feature names #6900

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fix: Return python mode ODFV features with full feature names
breken-ai Sep 30, 2026
6976dbb
fix: Rename python mode ODFV outputs inside transform_dict
breken-ai Oct 8, 2026
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fix: Return python mode ODFV features with full feature names 
With full_feature_names=True the requested ODFV refs are
"<view>__<feature>", but transform_dict returns the UDF's short output
names. Nothing matched, so python mode (batch and singleton) ODFV
features were silently missing from get_online_features, while pandas
mode worked because transform_arrow renames its outputs.

Rename python mode outputs to the projected names, and look up the
declared schema type under those names too.

Signed-off-by: breken-ai <312387581+breken-ai@users.noreply.github.com>
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breken-ai committed Oct 8, 2026
commit 78eb277253ecfd1f90348aa44814c06dcc1ef51c
19 changes: 19 additions & 0 deletions sdk/python/feast/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -991,6 +991,18 @@ def _is_metrics_active():
transformed_features_dict: Dict[str, List[Any]] = odfv.transform_dict(
odfv_input_dict
)
if full_feature_names:
# The UDF returns short output names, but the requested refs

@ntkathole ntkathole Sep 30, 2026

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Move the renaming into transform_dict by adding full_feature_names parameter. It makes the three transform methods consistent and prevents the bug from recurring if transform_dict gets called from anywhere else.

# use "<view>__<feature>" (transform_arrow renames the same way).
odfv_output_names = {f.name for f in odfv.features}
transformed_features_dict = {
(
odfv._get_projected_feature_name(name)
if name in odfv_output_names
else name
): values
for name, values in transformed_features_dict.items()
}
elif odfv.mode in {"pandas", "substrait"}:
if initial_response_arrow is None:
initial_response_arrow = initial_response.to_arrow()
Expand Down Expand Up @@ -1032,6 +1044,13 @@ def _is_metrics_active():

proto_values = []
schema_dict = {k.name: k.dtype for k in odfv.schema}
if full_feature_names:
schema_dict.update(
{
odfv._get_projected_feature_name(k.name): k.dtype
for k in odfv.schema
}
)
for selected_feature in selected_subset:
feature_vector = transformed_features[selected_feature]
selected_feature_type = schema_dict.get(selected_feature, None)
Expand Down
37 changes: 37 additions & 0 deletions sdk/python/tests/unit/test_on_demand_python_transformation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -321,6 +321,43 @@ def test_python_pandas_parity(self):
+ online_python_response["acc_rate"][0]
)

def test_python_views_with_full_feature_names(self):
online_response = self.store.get_online_features(
entity_rows=[{"driver_id": 1001}],
features=[
"driver_hourly_stats:conv_rate",
"driver_hourly_stats:acc_rate",
"pandas_view:conv_rate_plus_acc_pandas",
"python_demo_view:conv_rate_plus_val1_python",
"python_singleton_view:conv_rate_plus_acc_python_singleton",
],
full_feature_names=True,
).to_dict()

assert sorted(online_response.keys()) == sorted(
[
"driver_id",
"driver_hourly_stats__conv_rate",
"driver_hourly_stats__acc_rate",
"pandas_view__conv_rate_plus_acc_pandas",
"python_demo_view__conv_rate_plus_val1_python",
"python_singleton_view__conv_rate_plus_acc_python_singleton",
]
)
expected = (
online_response["driver_hourly_stats__conv_rate"][0]
+ online_response["driver_hourly_stats__acc_rate"][0]
)
assert online_response["pandas_view__conv_rate_plus_acc_pandas"] == [
pytest.approx(expected)
]
assert online_response["python_demo_view__conv_rate_plus_val1_python"] == [
pytest.approx(expected)
]
assert online_response[
"python_singleton_view__conv_rate_plus_acc_python_singleton"
] == [pytest.approx(expected)]

def test_python_docs_demo(self):
entity_rows = [
{
Expand Down