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fix: Fix feature service inference logic #3089

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felixwang9817
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What this PR does / why we need it:

Which issue(s) this PR fixes:

Fixes #3075

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codecov-commenter commented Aug 16, 2022

Codecov Report

Merging #3089 (31115ac) into master (9f221e6) will increase coverage by 8.73%.
The diff coverage is 93.75%.

@@            Coverage Diff             @@
##           master    #3089      +/-   ##
==========================================
+ Coverage   67.12%   75.86%   +8.73%     
==========================================
  Files         173      206      +33     
  Lines       15110    17142    +2032     
==========================================
+ Hits        10142    13004    +2862     
+ Misses       4968     4138     -830     
Flag Coverage Δ
integrationtests 66.71% <22.91%> (-0.41%) ⬇️
unittests 58.30% <93.75%> (?)

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files Coverage Δ
sdk/python/feast/feature_view_projection.py 97.05% <ø> (ø)
sdk/python/feast/errors.py 69.88% <66.66%> (+2.25%) ⬆️
sdk/python/feast/feature_service.py 89.36% <73.33%> (+7.96%) ⬆️
sdk/python/feast/base_feature_view.py 80.00% <80.00%> (+0.45%) ⬆️
...thon/tests/unit/infra/test_inference_unit_tests.py 100.00% <100.00%> (+84.86%) ⬆️
...sts/unit/local_feast_tests/test_feature_service.py 100.00% <100.00%> (ø)
...ra/materialization/batch_materialization_engine.py 86.66% <0.00%> (-2.99%) ⬇️
sdk/python/feast/feast_object.py 100.00% <0.00%> (ø)
.../contrib/postgres_offline_store/postgres_source.py 50.66% <0.00%> (ø)
.../feature_repos/universal/online_store/cassandra.py 42.85% <0.00%> (ø)
... and 104 more

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Signed-off-by: Felix Wang <[email protected]>
@adchia adchia self-assigned this Aug 17, 2022
Signed-off-by: Felix Wang <[email protected]>
@@ -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:
# 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

desired_features = set(
feature_grouping.projection.desired_features
)
# There are three situations to be handled. First, the projection specifies
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Might be easier to read if you have the cases within the blocks themselves, instead of all in one block before the if starts

for f in fvs_to_update[feature_grouping.name].features:
if f.name in desired_features:
feature_grouping.projection.features.append(f)
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])
...

for f in fvs_to_update[feature_grouping.name].features:
if f.name in desired_features:
feature_grouping.projection.features.append(f)
projection.features.append(f)
elif not projection.desired_features and projection.features:
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wondering if we can exit earlier than this. i.e in line 98 instead

Signed-off-by: Felix Wang <[email protected]>
Signed-off-by: Felix Wang <[email protected]>
Signed-off-by: Felix Wang <[email protected]>
if projection.features:
# The projection has already selected features from a feature view with a
# known schema, so no action needs to be taken.
# Example: FeatureService(features=[fv[["existing_feature"]]]), where
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This also applies if the user is selecting from a fv with a known schema, but doesn't select features right?

Signed-off-by: Felix Wang <[email protected]>
Signed-off-by: Felix Wang <[email protected]>
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/lgtm

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[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: adchia, felixwang9817

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@feast-ci-bot feast-ci-bot merged commit 4310ed7 into feast-dev:master Aug 19, 2022
kevjumba pushed a commit that referenced this pull request Aug 25, 2022
# [0.24.0](v0.23.0...v0.24.0) (2022-08-25)

### Bug Fixes

* Check if on_demand_feature_views is an empty list rather than None for snowflake provider ([#3046](#3046)) ([9b05e65](9b05e65))
* FeatureStore.apply applies BatchFeatureView correctly ([#3098](#3098)) ([41be511](41be511))
* Fix Feast Java inconsistency with int64 serialization vs python ([#3031](#3031)) ([4bba787](4bba787))
* Fix feature service inference logic ([#3089](#3089)) ([4310ed7](4310ed7))
* Fix field mapping logic during feature inference ([#3067](#3067)) ([cdfa761](cdfa761))
* Fix incorrect on demand feature view diffing and improve Java tests ([#3074](#3074)) ([0702310](0702310))
* Fix Java helm charts to work with refactored logic. Fix FTS image ([#3105](#3105)) ([2b493e0](2b493e0))
* Fix on demand feature view output in feast plan + Web UI crash ([#3057](#3057)) ([bfae6ac](bfae6ac))
* Fix release workflow to release 0.24.0 ([#3138](#3138)) ([a69aaae](a69aaae))
* Fix Spark offline store type conversion to arrow ([#3071](#3071)) ([b26566d](b26566d))
* Fixing Web UI, which fails for the SQL registry ([#3028](#3028)) ([64603b6](64603b6))
* Force Snowflake Session to Timezone UTC ([#3083](#3083)) ([9f221e6](9f221e6))
* Make infer dummy entity join key idempotent ([#3115](#3115)) ([1f5b1e0](1f5b1e0))
* More explicit error messages ([#2708](#2708)) ([e4d7afd](e4d7afd))
* Parse inline data sources ([#3036](#3036)) ([c7ba370](c7ba370))
* Prevent overwriting existing file during `persist` ([#3088](#3088)) ([69af21f](69af21f))
* Register BatchFeatureView in feature repos correctly ([#3092](#3092)) ([b8e39ea](b8e39ea))
* Return an empty infra object from sql registry when it doesn't exist ([#3022](#3022)) ([8ba87d1](8ba87d1))
* Teardown tables for Snowflake Materialization testing ([#3106](#3106)) ([0a0c974](0a0c974))
* UI error when saved dataset is present in registry. ([#3124](#3124)) ([83cf753](83cf753))
* Update sql.py ([#3096](#3096)) ([2646a86](2646a86))
* Updated snowflake template ([#3130](#3130)) ([f0594e1](f0594e1))

### Features

* Add authentication option for snowflake connector ([#3039](#3039)) ([74c75f1](74c75f1))
* Add Cassandra/AstraDB online store contribution ([#2873](#2873)) ([feb6cb8](feb6cb8))
* Add Snowflake materialization engine ([#2948](#2948)) ([f3b522b](f3b522b))
* Adding saved dataset capabilities for Postgres  ([#3070](#3070)) ([d3253c3](d3253c3))
* Allow passing repo config path via flag ([#3077](#3077)) ([0d2d951](0d2d951))
* Contrib azure provider with synapse/mssql offline store and Azure registry store ([#3072](#3072)) ([9f7e557](9f7e557))
* Custom Docker image for Bytewax batch materialization ([#3099](#3099)) ([cdd1b07](cdd1b07))
* Feast AWS Athena offline store (again) ([#3044](#3044)) ([989ce08](989ce08))
* Implement spark offline store `offline_write_batch` method ([#3076](#3076)) ([5b0cc87](5b0cc87))
* Initial Bytewax materialization engine ([#2974](#2974)) ([55c61f9](55c61f9))
* Refactor feature server helm charts to allow passing feature_store.yaml in environment variables ([#3113](#3113)) ([85ee789](85ee789))
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can't retrieve specific field from feature service
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