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fix: Fix feature service inference logic #3089

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Merged
merged 11 commits into from
Aug 19, 2022
Merged

fix: Fix feature service inference logic #3089

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1e09ad3
Add __init__.py files to allow test files to share names
felixwang9817 Aug 16, 2022
5a5c6f6
Add feature service tests
felixwang9817 Aug 12, 2022
07eaba6
Fix feature service inference logic
felixwang9817 Aug 16, 2022
51174b3
Remove stray `__init__.py` file
felixwang9817 Aug 16, 2022
45ec63c
Fix comments
felixwang9817 Aug 17, 2022
7a43b8f
Add check
felixwang9817 Aug 17, 2022
40d7965
Temp
felixwang9817 Aug 17, 2022
8dfb6db
Address comments
felixwang9817 Aug 17, 2022
c4d9c5a
Fix
felixwang9817 Aug 18, 2022
64dfdef
Address comments
felixwang9817 Aug 18, 2022
31115ac
Fix
felixwang9817 Aug 18, 2022
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11 changes: 9 additions & 2 deletions sdk/python/feast/feature_service.py
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Original file line number Diff line number Diff line change
Expand Up @@ -123,8 +123,15 @@ def infer_features(self, fvs_to_update: Optional[Dict[str, FeatureView]] = None)
if f.name in desired_features:
projection.features.append(f)
elif not projection.desired_features and projection.features:
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would be cleaner imo if you had early returns instead of the elif and else.. and maybe some example definitions

e.g.

if projection.desired_features:
  # The projection wants to reference inferred features. Validate they exist
   # Example: FeatureService(features=[[fv_with_no_schema["feature]])
   ...
   return

if projection.features:
  # The projection only references features from a FV's known schema (not inferred). 
  # Example 1: FeatureService(features=[fv_with_schema[["feature"]])
  # Example 2: FeatureService(features=[fv_with_schema])
  return

# The projection wants all features from a FV that has an inferred schema
# Example: FeatureService(features=[fv_with_no_schema])
...

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wondering if we can exit earlier than this. i.e in line 98 instead

# Second cass, so nothing needs to be done.
pass
# Second cass, so nothing needs to be done. In case something went wrong
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Suggested change
# Second cass, so nothing needs to be done. In case something went wrong
# Second case, so nothing needs to be done. In case something went wrong

# during feature inference, we check that the selected features still exist.
actual_features = set(
[
f.name
for f in fvs_to_update[feature_grouping.name].features
]
)
assert projection.features.issubset(actual_features)
else:
# Third case, so all inferred features will be selected.
projection.features = fvs_to_update[
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