Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix: Correctly generate projects-list.json when calling feast ui and using postgres as a source #2845

Merged
merged 2 commits into from
Jun 24, 2022

Conversation

AlexEijssen
Copy link
Contributor

Signed-off-by: alex.eijssen [email protected]

What this PR does / why we need it:

This PR ensures the projects-list.json is generated correctly when calling feast ui and using Postgres as a data source, by adding name=self.name to to_proto(). It also adds description, tags and owner to the Postgres source which were previously missing.

Which issue(s) this PR fixes:

Fixes #2843

Copy link
Collaborator

@adchia adchia left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

/lgtm

@codecov-commenter
Copy link

codecov-commenter commented Jun 23, 2022

Codecov Report

Merging #2845 (6283aa1) into master (34c997d) will increase coverage by 1.07%.
The diff coverage is n/a.

@@            Coverage Diff             @@
##           master    #2845      +/-   ##
==========================================
+ Coverage   79.67%   80.75%   +1.07%     
==========================================
  Files         175      175              
  Lines       15613    15621       +8     
==========================================
+ Hits        12440    12614     +174     
+ Misses       3173     3007     -166     
Flag Coverage Δ
integrationtests 70.89% <ø> (+1.10%) ⬆️
unittests 59.40% <ø> (+<0.01%) ⬆️

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

Impacted Files Coverage Δ
.../contrib/postgres_offline_store/postgres_source.py 48.07% <ø> (ø)
sdk/python/tests/utils/online_read_write_test.py 93.54% <0.00%> (-6.46%) ⬇️
.../integration/online_store/test_online_retrieval.py 96.84% <0.00%> (-3.16%) ⬇️
sdk/python/feast/feature_server.py 71.05% <0.00%> (-1.93%) ⬇️
sdk/python/feast/infra/online_stores/datastore.py 87.96% <0.00%> (-1.39%) ⬇️
.../integration/online_store/test_universal_online.py 91.23% <0.00%> (+0.05%) ⬆️
sdk/python/feast/errors.py 71.17% <0.00%> (+0.58%) ⬆️
sdk/python/feast/infra/utils/aws_utils.py 71.95% <0.00%> (+0.60%) ⬆️
sdk/python/feast/feature_store.py 87.02% <0.00%> (+0.90%) ⬆️
sdk/python/tests/conftest.py 79.16% <0.00%> (+1.38%) ⬆️
... and 4 more

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 34c997d...6283aa1. Read the comment docs.

@adchia
Copy link
Collaborator

adchia commented Jun 23, 2022

Looks like there's a lint issue!

@feast-ci-bot feast-ci-bot removed the lgtm label Jun 24, 2022
Signed-off-by: alex.eijssen <[email protected]>
Copy link
Collaborator

@adchia adchia left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

/lgtm

@feast-ci-bot
Copy link
Collaborator

[APPROVALNOTIFIER] This PR is APPROVED

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

The full list of commands accepted by this bot can be found here.

The pull request process is described here

Needs approval from an approver in each of these files:

Approvers can indicate their approval by writing /approve in a comment
Approvers can cancel approval by writing /approve cancel in a comment

@feast-ci-bot feast-ci-bot merged commit bee8076 into feast-dev:master Jun 24, 2022
felixwang9817 pushed a commit that referenced this pull request Jun 24, 2022
# [0.22.0](v0.21.0...v0.22.0) (2022-06-24)

### Bug Fixes

* Add columns for user metadata in the tables ([#2760](#2760)) ([269055e](269055e))
* Add project columns in the SQL Registry ([#2784](#2784)) ([336fdd1](336fdd1))
* Add S3FS dependency (which Dask depends on for S3 files) ([#2701](#2701)) ([5d6fa94](5d6fa94))
* Bugfixes for how registry is loaded ([#2768](#2768)) ([ecb8b2a](ecb8b2a))
* Conversion of null timestamp from proto to python ([#2814](#2814)) ([cb23648](cb23648))
* Correct feature statuses during feature logging test ([#2709](#2709)) ([cebf609](cebf609))
* Correctly generate projects-list.json when calling feast ui and using postgres as a source ([#2845](#2845)) ([bee8076](bee8076))
* Dynamodb drops missing entities when batching ([#2802](#2802)) ([a2e9209](a2e9209))
* Enable faulthandler and disable flaky tests ([#2815](#2815)) ([4934d84](4934d84))
* Explicitly translate errors when instantiating the go fs  ([#2842](#2842)) ([7a2c4cd](7a2c4cd))
* Fix broken roadmap links ([#2690](#2690)) ([b3ba8aa](b3ba8aa))
* Fix bugs in applying stream feature view and retrieving online features  ([#2754](#2754)) ([d024e5e](d024e5e))
* Fix Feast UI failure with new way of specifying entities ([#2773](#2773)) ([0d1ac01](0d1ac01))
* Fix feature view __getitem__ for feature services ([#2769](#2769)) ([88cc47d](88cc47d))
* Fix issue when user specifies a port for feast ui  ([#2692](#2692)) ([1c621fe](1c621fe))
* Fix on demand feature view crash from inference when it uses df.apply ([#2713](#2713)) ([c5539fd](c5539fd))
* Fix SparkKafkaProcessor `query_timeout` parameter ([#2789](#2789)) ([a8d282d](a8d282d))
* Fixed custom S3 endpoint read fail ([#2786](#2786)) ([6fec431](6fec431))
* Hydrate infra object in the sql registry proto() method  ([#2782](#2782)) ([452dcd3](452dcd3))
* Implement apply_materialization and infra methods in sql registry ([#2775](#2775)) ([4ed107c](4ed107c))
* Minor refactor to format exception message ([#2764](#2764)) ([da763c6](da763c6))
* Prefer installing gopy from feast's fork as opposed to upstream ([#2839](#2839)) ([34c997d](34c997d))
* Python server is not correctly starting in integration tests ([#2706](#2706)) ([7583a0b](7583a0b))
* Random port allocation for python server in tests ([#2710](#2710)) ([dee8090](dee8090))
* Refactor test to reuse LocalRegistryFile ([#2763](#2763)) ([4339c0a](4339c0a))
* Revert "chore(release): release 0.22.0" ([#2852](#2852)) ([e6a4636](e6a4636))
* Support push sources in stream feature views ([#2704](#2704)) ([0d60eaa](0d60eaa))
* Update roadmap with stream feature view rfc ([#2824](#2824)) ([fc8f890](fc8f890))
* Update udf tests and add base functions to streaming fcos and fix some nonetype errors ([#2776](#2776)) ([331a214](331a214))

### Features

* Add feast repo-upgrade for automated repo upgrades ([#2733](#2733)) ([a3304d4](a3304d4))
* Add file write_to_offline_store functionality ([#2808](#2808)) ([c0e2ad7](c0e2ad7))
* Add http endpoint to the Go feature server ([#2658](#2658)) ([3347a57](3347a57))
* Add StreamProcessor and SparkKafkaProcessor as contrib ([#2777](#2777)) ([83ab682](83ab682))
* Added Spark support for Delta and Avro ([#2757](#2757)) ([7d16516](7d16516))
* CLI interface for validation of logged features ([#2718](#2718)) ([c8b11b3](c8b11b3))
* Enable stream feature view materialization ([#2798](#2798)) ([a06700d](a06700d))
* Enable stream feature view materialization ([#2807](#2807)) ([7d57724](7d57724))
* Implement `offline_write_batch` for BigQuery and Snowflake ([#2840](#2840)) ([97444e4](97444e4))
* Offline push endpoint for pushing to offline stores ([#2837](#2837)) ([a88cd30](a88cd30))
* Push to Redshift batch source offline store directly ([#2819](#2819)) ([5748a8b](5748a8b))
* Scaffold for unified push api ([#2796](#2796)) ([1bd0930](1bd0930))
* SQLAlchemy Registry Support ([#2734](#2734)) ([b3fe39c](b3fe39c))
* Stream Feature View FCOS ([#2750](#2750)) ([0cf3c92](0cf3c92))
* Update stream fcos to have watermark and sliding interval ([#2765](#2765)) ([3256952](3256952))
* Validating logged features via Python SDK ([#2640](#2640)) ([2874fc5](2874fc5))
felixwang9817 pushed a commit that referenced this pull request Jun 25, 2022
# [0.22.0](v0.21.0...v0.22.0) (2022-06-25)

### Bug Fixes

* Add columns for user metadata in the tables ([#2760](#2760)) ([269055e](269055e))
* Add project columns in the SQL Registry ([#2784](#2784)) ([336fdd1](336fdd1))
* Add S3FS dependency (which Dask depends on for S3 files) ([#2701](#2701)) ([5d6fa94](5d6fa94))
* Bugfixes for how registry is loaded ([#2768](#2768)) ([ecb8b2a](ecb8b2a))
* Conversion of null timestamp from proto to python ([#2814](#2814)) ([cb23648](cb23648))
* Correct feature statuses during feature logging test ([#2709](#2709)) ([cebf609](cebf609))
* Correctly generate projects-list.json when calling feast ui and using postgres as a source ([#2845](#2845)) ([bee8076](bee8076))
* Dynamodb drops missing entities when batching ([#2802](#2802)) ([a2e9209](a2e9209))
* Enable faulthandler and disable flaky tests ([#2815](#2815)) ([4934d84](4934d84))
* Explicitly translate errors when instantiating the go fs  ([#2842](#2842)) ([7a2c4cd](7a2c4cd))
* Fix broken roadmap links ([#2690](#2690)) ([b3ba8aa](b3ba8aa))
* Fix bugs in applying stream feature view and retrieving online features  ([#2754](#2754)) ([d024e5e](d024e5e))
* Fix Feast UI failure with new way of specifying entities ([#2773](#2773)) ([0d1ac01](0d1ac01))
* Fix feature view __getitem__ for feature services ([#2769](#2769)) ([88cc47d](88cc47d))
* Fix issue when user specifies a port for feast ui  ([#2692](#2692)) ([1c621fe](1c621fe))
* Fix on demand feature view crash from inference when it uses df.apply ([#2713](#2713)) ([c5539fd](c5539fd))
* Fix SparkKafkaProcessor `query_timeout` parameter ([#2789](#2789)) ([a8d282d](a8d282d))
* Fixed custom S3 endpoint read fail ([#2786](#2786)) ([6fec431](6fec431))
* Hydrate infra object in the sql registry proto() method  ([#2782](#2782)) ([452dcd3](452dcd3))
* Implement apply_materialization and infra methods in sql registry ([#2775](#2775)) ([4ed107c](4ed107c))
* Minor refactor to format exception message ([#2764](#2764)) ([da763c6](da763c6))
* Prefer installing gopy from feast's fork as opposed to upstream ([#2839](#2839)) ([34c997d](34c997d))
* Python server is not correctly starting in integration tests ([#2706](#2706)) ([7583a0b](7583a0b))
* Random port allocation for python server in tests ([#2710](#2710)) ([dee8090](dee8090))
* Refactor test to reuse LocalRegistryFile ([#2763](#2763)) ([4339c0a](4339c0a))
* Revert "chore(release): release 0.22.0" ([#2852](#2852)) ([e6a4636](e6a4636))
* Support push sources in stream feature views ([#2704](#2704)) ([0d60eaa](0d60eaa))
* Update roadmap with stream feature view rfc ([#2824](#2824)) ([fc8f890](fc8f890))
* Update udf tests and add base functions to streaming fcos and fix some nonetype errors ([#2776](#2776)) ([331a214](331a214))

### Features

* Add feast repo-upgrade for automated repo upgrades ([#2733](#2733)) ([a3304d4](a3304d4))
* Add file write_to_offline_store functionality ([#2808](#2808)) ([c0e2ad7](c0e2ad7))
* Add http endpoint to the Go feature server ([#2658](#2658)) ([3347a57](3347a57))
* Add StreamProcessor and SparkKafkaProcessor as contrib ([#2777](#2777)) ([83ab682](83ab682))
* Added Spark support for Delta and Avro ([#2757](#2757)) ([7d16516](7d16516))
* CLI interface for validation of logged features ([#2718](#2718)) ([c8b11b3](c8b11b3))
* Enable stream feature view materialization ([#2798](#2798)) ([a06700d](a06700d))
* Enable stream feature view materialization ([#2807](#2807)) ([7d57724](7d57724))
* Implement `offline_write_batch` for BigQuery and Snowflake ([#2840](#2840)) ([97444e4](97444e4))
* Offline push endpoint for pushing to offline stores ([#2837](#2837)) ([a88cd30](a88cd30))
* Push to Redshift batch source offline store directly ([#2819](#2819)) ([5748a8b](5748a8b))
* Scaffold for unified push api ([#2796](#2796)) ([1bd0930](1bd0930))
* SQLAlchemy Registry Support ([#2734](#2734)) ([b3fe39c](b3fe39c))
* Stream Feature View FCOS ([#2750](#2750)) ([0cf3c92](0cf3c92))
* Update stream fcos to have watermark and sliding interval ([#2765](#2765)) ([3256952](3256952))
* Validating logged features via Python SDK ([#2640](#2640)) ([2874fc5](2874fc5))
kevjumba pushed a commit that referenced this pull request Jun 28, 2022
# [0.22.0](v0.21.0...v0.22.0) (2022-06-28)

### Bug Fixes

* Add columns for user metadata in the tables ([#2760](#2760)) ([269055e](269055e))
* Add project columns in the SQL Registry ([#2784](#2784)) ([336fdd1](336fdd1))
* Add S3FS dependency (which Dask depends on for S3 files) ([#2701](#2701)) ([5d6fa94](5d6fa94))
* Bugfixes for how registry is loaded ([#2768](#2768)) ([ecb8b2a](ecb8b2a))
* Conversion of null timestamp from proto to python ([#2814](#2814)) ([cb23648](cb23648))
* Correct feature statuses during feature logging test ([#2709](#2709)) ([cebf609](cebf609))
* Correctly generate projects-list.json when calling feast ui and using postgres as a source ([#2845](#2845)) ([bee8076](bee8076))
* Dynamodb drops missing entities when batching ([#2802](#2802)) ([a2e9209](a2e9209))
* Enable faulthandler and disable flaky tests ([#2815](#2815)) ([4934d84](4934d84))
* Explicitly translate errors when instantiating the go fs  ([#2842](#2842)) ([7a2c4cd](7a2c4cd))
* Fix broken roadmap links ([#2690](#2690)) ([b3ba8aa](b3ba8aa))
* Fix bugs in applying stream feature view and retrieving online features  ([#2754](#2754)) ([d024e5e](d024e5e))
* Fix Feast UI failure with new way of specifying entities ([#2773](#2773)) ([0d1ac01](0d1ac01))
* Fix feature view __getitem__ for feature services ([#2769](#2769)) ([88cc47d](88cc47d))
* Fix issue when user specifies a port for feast ui  ([#2692](#2692)) ([1c621fe](1c621fe))
* Fix on demand feature view crash from inference when it uses df.apply ([#2713](#2713)) ([c5539fd](c5539fd))
* Fix SparkKafkaProcessor `query_timeout` parameter ([#2789](#2789)) ([a8d282d](a8d282d))
* Fixed custom S3 endpoint read fail ([#2786](#2786)) ([6fec431](6fec431))
* Go install gopy instead using go mod tidy ([#2863](#2863)) ([2f2b519](2f2b519))
* Hydrate infra object in the sql registry proto() method  ([#2782](#2782)) ([452dcd3](452dcd3))
* Implement apply_materialization and infra methods in sql registry ([#2775](#2775)) ([4ed107c](4ed107c))
* Minor refactor to format exception message ([#2764](#2764)) ([da763c6](da763c6))
* Prefer installing gopy from feast's fork as opposed to upstream ([#2839](#2839)) ([34c997d](34c997d))
* Python server is not correctly starting in integration tests ([#2706](#2706)) ([7583a0b](7583a0b))
* Random port allocation for python server in tests ([#2710](#2710)) ([dee8090](dee8090))
* Refactor test to reuse LocalRegistryFile ([#2763](#2763)) ([4339c0a](4339c0a))
* Revert "chore(release): release 0.22.0" ([#2852](#2852)) ([e6a4636](e6a4636))
* Support push sources in stream feature views ([#2704](#2704)) ([0d60eaa](0d60eaa))
* Update roadmap with stream feature view rfc ([#2824](#2824)) ([fc8f890](fc8f890))
* Update udf tests and add base functions to streaming fcos and fix some nonetype errors ([#2776](#2776)) ([331a214](331a214))

### Features

* Add feast repo-upgrade for automated repo upgrades ([#2733](#2733)) ([a3304d4](a3304d4))
* Add file write_to_offline_store functionality ([#2808](#2808)) ([c0e2ad7](c0e2ad7))
* Add http endpoint to the Go feature server ([#2658](#2658)) ([3347a57](3347a57))
* Add StreamProcessor and SparkKafkaProcessor as contrib ([#2777](#2777)) ([83ab682](83ab682))
* Added Spark support for Delta and Avro ([#2757](#2757)) ([7d16516](7d16516))
* CLI interface for validation of logged features ([#2718](#2718)) ([c8b11b3](c8b11b3))
* Enable stream feature view materialization ([#2798](#2798)) ([a06700d](a06700d))
* Enable stream feature view materialization ([#2807](#2807)) ([7d57724](7d57724))
* Implement `offline_write_batch` for BigQuery and Snowflake ([#2840](#2840)) ([97444e4](97444e4))
* Offline push endpoint for pushing to offline stores ([#2837](#2837)) ([a88cd30](a88cd30))
* Push to Redshift batch source offline store directly ([#2819](#2819)) ([5748a8b](5748a8b))
* Scaffold for unified push api ([#2796](#2796)) ([1bd0930](1bd0930))
* SQLAlchemy Registry Support ([#2734](#2734)) ([b3fe39c](b3fe39c))
* Stream Feature View FCOS ([#2750](#2750)) ([0cf3c92](0cf3c92))
* Update stream fcos to have watermark and sliding interval ([#2765](#2765)) ([3256952](3256952))
* Validating logged features via Python SDK ([#2640](#2640)) ([2874fc5](2874fc5))

### Reverts

* Revert "Create main.yml" (#2867) ([47922a4](47922a4)), closes [#2867](#2867)
kevjumba pushed a commit that referenced this pull request Jun 28, 2022
# [0.22.0](v0.21.0...v0.22.0) (2022-06-28)

### Bug Fixes

* Add columns for user metadata in the tables ([#2760](#2760)) ([269055e](269055e))
* Add project columns in the SQL Registry ([#2784](#2784)) ([336fdd1](336fdd1))
* Add S3FS dependency (which Dask depends on for S3 files) ([#2701](#2701)) ([5d6fa94](5d6fa94))
* Bugfixes for how registry is loaded ([#2768](#2768)) ([ecb8b2a](ecb8b2a))
* Conversion of null timestamp from proto to python ([#2814](#2814)) ([cb23648](cb23648))
* Correct feature statuses during feature logging test ([#2709](#2709)) ([cebf609](cebf609))
* Correctly generate projects-list.json when calling feast ui and using postgres as a source ([#2845](#2845)) ([bee8076](bee8076))
* Dynamodb drops missing entities when batching ([#2802](#2802)) ([a2e9209](a2e9209))
* Enable faulthandler and disable flaky tests ([#2815](#2815)) ([4934d84](4934d84))
* Explicitly translate errors when instantiating the go fs  ([#2842](#2842)) ([7a2c4cd](7a2c4cd))
* Fix broken roadmap links ([#2690](#2690)) ([b3ba8aa](b3ba8aa))
* Fix bugs in applying stream feature view and retrieving online features  ([#2754](#2754)) ([d024e5e](d024e5e))
* Fix Feast UI failure with new way of specifying entities ([#2773](#2773)) ([0d1ac01](0d1ac01))
* Fix feature view __getitem__ for feature services ([#2769](#2769)) ([88cc47d](88cc47d))
* Fix issue when user specifies a port for feast ui  ([#2692](#2692)) ([1c621fe](1c621fe))
* Fix on demand feature view crash from inference when it uses df.apply ([#2713](#2713)) ([c5539fd](c5539fd))
* Fix SparkKafkaProcessor `query_timeout` parameter ([#2789](#2789)) ([a8d282d](a8d282d))
* Fix workflow syntax error ([#2869](#2869)) ([fae45a1](fae45a1))
* Fixed custom S3 endpoint read fail ([#2786](#2786)) ([6fec431](6fec431))
* Go install gopy instead using go mod tidy ([#2863](#2863)) ([2f2b519](2f2b519))
* Hydrate infra object in the sql registry proto() method  ([#2782](#2782)) ([452dcd3](452dcd3))
* Implement apply_materialization and infra methods in sql registry ([#2775](#2775)) ([4ed107c](4ed107c))
* Minor refactor to format exception message ([#2764](#2764)) ([da763c6](da763c6))
* Prefer installing gopy from feast's fork as opposed to upstream ([#2839](#2839)) ([34c997d](34c997d))
* Python server is not correctly starting in integration tests ([#2706](#2706)) ([7583a0b](7583a0b))
* Random port allocation for python server in tests ([#2710](#2710)) ([dee8090](dee8090))
* Refactor test to reuse LocalRegistryFile ([#2763](#2763)) ([4339c0a](4339c0a))
* Revert "chore(release): release 0.22.0" ([#2852](#2852)) ([e6a4636](e6a4636))
* Support push sources in stream feature views ([#2704](#2704)) ([0d60eaa](0d60eaa))
* Sync publish and build_wheels workflow to fix verify wheel error. ([#2871](#2871)) ([b0f050a](b0f050a))
* Update roadmap with stream feature view rfc ([#2824](#2824)) ([fc8f890](fc8f890))
* Update udf tests and add base functions to streaming fcos and fix some nonetype errors ([#2776](#2776)) ([331a214](331a214))

### Features

* Add feast repo-upgrade for automated repo upgrades ([#2733](#2733)) ([a3304d4](a3304d4))
* Add file write_to_offline_store functionality ([#2808](#2808)) ([c0e2ad7](c0e2ad7))
* Add http endpoint to the Go feature server ([#2658](#2658)) ([3347a57](3347a57))
* Add StreamProcessor and SparkKafkaProcessor as contrib ([#2777](#2777)) ([83ab682](83ab682))
* Added Spark support for Delta and Avro ([#2757](#2757)) ([7d16516](7d16516))
* CLI interface for validation of logged features ([#2718](#2718)) ([c8b11b3](c8b11b3))
* Enable stream feature view materialization ([#2798](#2798)) ([a06700d](a06700d))
* Enable stream feature view materialization ([#2807](#2807)) ([7d57724](7d57724))
* Implement `offline_write_batch` for BigQuery and Snowflake ([#2840](#2840)) ([97444e4](97444e4))
* Offline push endpoint for pushing to offline stores ([#2837](#2837)) ([a88cd30](a88cd30))
* Push to Redshift batch source offline store directly ([#2819](#2819)) ([5748a8b](5748a8b))
* Scaffold for unified push api ([#2796](#2796)) ([1bd0930](1bd0930))
* SQLAlchemy Registry Support ([#2734](#2734)) ([b3fe39c](b3fe39c))
* Stream Feature View FCOS ([#2750](#2750)) ([0cf3c92](0cf3c92))
* Update stream fcos to have watermark and sliding interval ([#2765](#2765)) ([3256952](3256952))
* Validating logged features via Python SDK ([#2640](#2640)) ([2874fc5](2874fc5))

### Reverts

* Revert "chore(release): release 0.22.0" (#2870) ([ffb0892](ffb0892)), closes [#2870](#2870)
* Revert "Create main.yml" (#2867) ([47922a4](47922a4)), closes [#2867](#2867)
kevjumba pushed a commit that referenced this pull request Jun 29, 2022
# [0.22.0](v0.21.0...v0.22.0) (2022-06-29)

### Bug Fixes

* Add columns for user metadata in the tables ([#2760](#2760)) ([269055e](269055e))
* Add project columns in the SQL Registry ([#2784](#2784)) ([336fdd1](336fdd1))
* Add S3FS dependency (which Dask depends on for S3 files) ([#2701](#2701)) ([5d6fa94](5d6fa94))
* Bugfixes for how registry is loaded ([#2768](#2768)) ([ecb8b2a](ecb8b2a))
* Conversion of null timestamp from proto to python ([#2814](#2814)) ([cb23648](cb23648))
* Correct feature statuses during feature logging test ([#2709](#2709)) ([cebf609](cebf609))
* Correctly generate projects-list.json when calling feast ui and using postgres as a source ([#2845](#2845)) ([bee8076](bee8076))
* Dynamodb drops missing entities when batching ([#2802](#2802)) ([a2e9209](a2e9209))
* Enable faulthandler and disable flaky tests ([#2815](#2815)) ([4934d84](4934d84))
* Explicitly translate errors when instantiating the go fs  ([#2842](#2842)) ([7a2c4cd](7a2c4cd))
* Fix broken roadmap links ([#2690](#2690)) ([b3ba8aa](b3ba8aa))
* Fix bugs in applying stream feature view and retrieving online features  ([#2754](#2754)) ([d024e5e](d024e5e))
* Fix Feast UI failure with new way of specifying entities ([#2773](#2773)) ([0d1ac01](0d1ac01))
* Fix feature view __getitem__ for feature services ([#2769](#2769)) ([88cc47d](88cc47d))
* Fix issue when user specifies a port for feast ui  ([#2692](#2692)) ([1c621fe](1c621fe))
* Fix macos wheel version for 310 and also checkout edited go files ([#2890](#2890)) ([bdf170f](bdf170f))
* Fix on demand feature view crash from inference when it uses df.apply ([#2713](#2713)) ([c5539fd](c5539fd))
* Fix SparkKafkaProcessor `query_timeout` parameter ([#2789](#2789)) ([a8d282d](a8d282d))
* Fix workflow syntax error ([#2869](#2869)) ([fae45a1](fae45a1))
* Fixed custom S3 endpoint read fail ([#2786](#2786)) ([6fec431](6fec431))
* Go install gopy instead using go mod tidy ([#2863](#2863)) ([2f2b519](2f2b519))
* Hydrate infra object in the sql registry proto() method  ([#2782](#2782)) ([452dcd3](452dcd3))
* Implement apply_materialization and infra methods in sql registry ([#2775](#2775)) ([4ed107c](4ed107c))
* Minor refactor to format exception message ([#2764](#2764)) ([da763c6](da763c6))
* Prefer installing gopy from feast's fork as opposed to upstream ([#2839](#2839)) ([34c997d](34c997d))
* Python server is not correctly starting in integration tests ([#2706](#2706)) ([7583a0b](7583a0b))
* Random port allocation for python server in tests ([#2710](#2710)) ([dee8090](dee8090))
* Refactor test to reuse LocalRegistryFile ([#2763](#2763)) ([4339c0a](4339c0a))
* Revert "chore(release): release 0.22.0" ([#2852](#2852)) ([e6a4636](e6a4636))
* Stop running go mod tidy in setup.py ([#2877](#2877)) ([676ecbb](676ecbb)), closes [/github.com/pypa/cibuildwheel/issues/189#issuecomment-549933912](https://github.com//github.com/pypa/cibuildwheel/issues/189/issues/issuecomment-549933912)
* Support push sources in stream feature views ([#2704](#2704)) ([0d60eaa](0d60eaa))
* Sync publish and build_wheels workflow to fix verify wheel error. ([#2871](#2871)) ([b0f050a](b0f050a))
* Update roadmap with stream feature view rfc ([#2824](#2824)) ([fc8f890](fc8f890))
* Update udf tests and add base functions to streaming fcos and fix some nonetype errors ([#2776](#2776)) ([331a214](331a214))

### Features

* Add feast repo-upgrade for automated repo upgrades ([#2733](#2733)) ([a3304d4](a3304d4))
* Add file write_to_offline_store functionality ([#2808](#2808)) ([c0e2ad7](c0e2ad7))
* Add http endpoint to the Go feature server ([#2658](#2658)) ([3347a57](3347a57))
* Add simple TLS support in Go RedisOnlineStore ([#2860](#2860)) ([521488d](521488d))
* Add StreamProcessor and SparkKafkaProcessor as contrib ([#2777](#2777)) ([83ab682](83ab682))
* Added Spark support for Delta and Avro ([#2757](#2757)) ([7d16516](7d16516))
* CLI interface for validation of logged features ([#2718](#2718)) ([c8b11b3](c8b11b3))
* Enable stream feature view materialization ([#2798](#2798)) ([a06700d](a06700d))
* Enable stream feature view materialization ([#2807](#2807)) ([7d57724](7d57724))
* Implement `offline_write_batch` for BigQuery and Snowflake ([#2840](#2840)) ([97444e4](97444e4))
* Offline push endpoint for pushing to offline stores ([#2837](#2837)) ([a88cd30](a88cd30))
* Push to Redshift batch source offline store directly ([#2819](#2819)) ([5748a8b](5748a8b))
* Scaffold for unified push api ([#2796](#2796)) ([1bd0930](1bd0930))
* SQLAlchemy Registry Support ([#2734](#2734)) ([b3fe39c](b3fe39c))
* Stream Feature View FCOS ([#2750](#2750)) ([0cf3c92](0cf3c92))
* Update stream fcos to have watermark and sliding interval ([#2765](#2765)) ([3256952](3256952))
* Validating logged features via Python SDK ([#2640](#2640)) ([2874fc5](2874fc5))

### Reverts

* Revert "chore(release): release 0.22.0" (#2891) ([e5abf58](e5abf58)), closes [#2891](#2891)
* Revert "chore(release): release 0.22.0" (#2870) ([ffb0892](ffb0892)), closes [#2870](#2870)
* Revert "Create main.yml" (#2867) ([47922a4](47922a4)), closes [#2867](#2867)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

Incorrect projects-list.json generated by feast ui when using Postgres as a data source.
4 participants