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Add integration test for filtering #1155

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rileyjbauer opened this issue Apr 12, 2019 · 1 comment
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Add integration test for filtering #1155

rileyjbauer opened this issue Apr 12, 2019 · 1 comment
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@rileyjbauer
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Similar to #1152
A regression was introduced into the backend that broke filtering. One of the ways that the bug manifested was in the archive page no longer working on the frontend #1150 since it operates using filters, and this was not caught by any tests.

#1150 was fixed by #1151

There should be an integration test for this, possibly a frontend integration test.

Perhaps there is a gap in the backend tests as well though?
@rileyjbauer rileyjbauer self-assigned this Apr 12, 2019
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Filtering is covered now as of #1175 by the helloworld frontend integration test

magdalenakuhn17 pushed a commit to magdalenakuhn17/pipelines that referenced this issue Oct 22, 2023
@adriangonz
Add support for MLServer in the SKLearn predictor (kubeflow#1155)
82ec9ce 
* Add ginkgo suite support to v1beta1 package

* Start adding MLServer predictor spec

* Add MLServer config to PredictorsConfig

* Add default config for MLServer

* Add defaulter

* Add GetContainer method

* Change comment

* Add MLServer to IS spec

* Remove comment

* Move MLServer to SKLearn predictor

* Remove other references to MLServer predictor

* Use strconv instead of fmt

* Add MLServer constants (to use later in XGBoost)

* Add defaults for missing model-settings.json

* Add SKLearn example for v1beta1

* Default model URI to models mount path

* Point to Seldon's GCS to use a newer version of SKLearn

* Update resource

* Bump version to 0.1.2

* Add registry prefix

* Fix docs

* Fix a couple references on the README

* Add protocol field to predictorspec

* Add SKLearnV2 predictor

* Default predictor to V1 protocol

* Build v1 or v2 container depending on flag

* Add tests for V1

* Fix image logic

* Add protocolVersion flag to example

* re-generate CRD

* Change configmap structure for sklearn predictor

* Add new structure to test overlay

* Add test case for SKLearn v2

* Add missing license block

* Re-generate Python SDK to add ProtocolVersions object

* Fix test case for V2

* Re-generate SDK to fix wrong test
This was referenced Oct 14, 2024
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