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chore(deps): update dependency kubeflow/pipelines to v1.8.22 #216

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renovate wants to merge 1 commit into master from renovate/kubeflow-pipelines-1.x

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This PR contains the following updates:

Package	Update	Change
kubeflow/pipelines	minor	`1.6.0` -> `1.8.22`

⚠ Dependency Lookup Warnings ⚠

Warnings were logged while processing this repo. Please check the Dependency Dashboard for more information.

Release Notes

kubeflow/pipelines

`v1.8.22`: KFP SDK v1.8.22

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.22

For changelog, see release notes.

`v1.8.21`: KFP SDK v1.8.21

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.21

For changelog, see release notes.

`v1.8.20`: KFP SDK v1.8.20

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.20

For changelog, see release notes.

`v1.8.19`: KFP SDK v1.8.19

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.19

For changelog, see release notes.

`v1.8.18`: KFP SDK v1.8.18

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.18

For changelog, see release notes.

`v1.8.17`: KFP SDK v1.8.17

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.17

For changelog, see release notes.

`v1.8.16`: KFP SDK v1.8.16

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.16

For changelog, see release notes.

`v1.8.15`: KFP SDK v1.8.15

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.15

For changelog, see release notes.

`v1.8.14`: KFP SDK v1.8.14

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.14

For changelog, see release notes.

`v1.8.13`: KFP SDK v1.8.13

Release of the KFP SDK only.

To install the KFP SDK:

pip install kfp==1.8.13

For changelog, see release notes.

`v1.8.5`: Backend v1.8.5

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

`v1.8.4`: Backend v1.8.4

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

`v1.8.3`: Backend v1.8.3

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

`v1.8.2`: Backend v1.8.2

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

`v1.8.1`

Bug Fixes

backend: Read env var for default service account in multi-user mode. Fix #7336 (#7337) (f1aa28d)

`v1.8.0`

⚠ BREAKING CHANGES

Use Argo Emissary Executor instead of Docker by default. Partial #5718 (#7137)
sdk.v2: Block task dependency referencing tasks inside a sibling condition or loop group. (#7050)
sdk: Deprecate V2 compatible mode in v1 compiler (#6958)
sdk.v2: Merge v2 experimental change back to v2 namespace (#6890)

Features

Use Argo Emissary Executor instead of Docker by default. Partial #5718 (#7137) (bea751c)
backend: Upgrade go client for MLMD to 1.5.0. Partial #7029 (#7101) (ba59a64)
backend: Upgrade MLMD to 1.4.0 (#6910) (b3d15cd)
backend: Upgrade MLMD to 1.5.0 (#6996) (7157764)
chore: add labels and error to the gcp_resources.proto (3da295e)
component: add BQ export model component (28c666f)
component: add code for creating and monitoring bq job (9cb0e71)
component: add generic custom training job component (a74eba1)
component: adding bq create model component (fef8c03)
component: adding bq evaluate model component (27d2ab5)
component: adding bq predict model component (90e759c)
component: adding component yaml and tests for bq query job component (accacf6)
component: fix typo in bp component (9062749)
component: rename bq query job remote runner to bq remote runner for more bq components. (57cc5c3)
component: rename VertexBatchPredictJob -> VertexBatchPredictionJob (#6757) (ca34902)
component/google-cloud: Add component yaml for Dataflow python component. (5902597)
component/google-cloud: Add sample notebook for HP Tuning Job (98677b2)
component/google-cloud: Add sample notebook for HP Tuning Job (#6729) (16c8928)
components: Add a KServe component (#6881) (72185ff)
components: Add GetWorkerPoolSpecsOp and update sample notebook to include training new model from tuning results (30308ea)
components: Add IsMetricBeyondThresholdOp util function for HP tuning job; add tests for all util components (37b3397)
components: Add util components for getting best trial/hyperparameters; delete HP Tuning Job lightweight python version to avoid potential confusion (a62bdbe)
components: not wait for dataflow job to finish in python component (eeb0b9c)
components/google-cloud: Accept UnmanagedContainerModel artifact in Batch Prediction component (e39eed1)
components/google-cloud: Add distributed training sample for custom job wrapper (#6724) (ecbbdf4)
components/google-cloud: Commit experimental Vertex Evaluation component. (4cf9e5b)
components/google-cloud: Update ground_truth_column and update public container for Vertex Evaluation component. (b892888)
frontend: Allow setting s3 region for artifacts (#6409) (af51bd1)
frontend: Disable delete button if no pipeline version is not selected (#6973) (6de35db)
frontend: RunDetail -> Detail tab for KFPv2. Fix #6710 (#6717) (40df465)
frontend: SubDAG styling for KFPv2. Fix #6419 (#6744) (31ff9ad)
frontend: Update unknown and invalid execution node style (#6795) (2ffa212)
frontend: Upgrade MLMD client to 1.5.0. Partial #7029 (#7102) (ef8e092)
frontend: Upload V2 Pipelines. Fix PipelineSpec editor prettified view. (#6909) (feebc6b)
frontend: V2 create run from UI (#7001) (a1bef77)
frontend: View pipeline from run ID in KFPv2. Fix #6758 (#6759) (b7a455d)
google-cloud: Add 'generate_feature_attribution' and executor_output to Evaluation component inputs. (25508b6)
google-cloud: Update Evaluation Component to let the dataflow service account be an optional input (10df58c)
manifests: Add liveness Probe for cloud sql proxy. Fix #4973 (#6904) (3bdf8c0)
sdk: Add filters to python client. (#6748) (37d3234)
sdk: add load_component_from_* (#6822) (f1bb852)
sdk: Add load_component_from_spec. Fixes #5708 #3748 (#6690) (3e6c776)
sdk: add metadata field for importer (#7112) (5a29d7f)
sdk: add set_env_variable for Pipeline task (#6919) (cd20373)
sdk: Add version description optionally to Py SDK. Part of #6256 (#6472) (5dfae1d)
sdk: Deprecate V2 compatible mode in v1 compiler (#6958) (8aee621)
sdk: Extend SDK client with disable/delete run methods (#6754) (ba0bb60)
sdk: ImporterSpec v2 (#6917) (c4d8dfd)
sdk: Improve CLI experience for archiving experiments, managing recurring runs and listing resources (#6934) (ddbfcde)
sdk: Pipeline task settings (#6746) (78dfac7)
sdk: Use google.protobuf.Value in v2 for passing parameters. (#6804) (0be57c3)
sdk.v2: Implement v2 experimental compiler. (#6803) (02b96f0)
v2: control flow - conditional (#7088) (048218b)
adds secrets to ml-pipeline-ui-artifact deployments in user profiles (#5864) (c6c826d)
sdk.v2: Merge v2 experimental change back to v2 namespace (#6890) (7921946)
v2: iterator and sub-DAG basic support (#6985) (713558c)
allow the default-editor to edit argo workflows and fix bug #6649 (#6622) (83ce21f)
sdk.v2: Implement experimental [@component](https://togithub.com/component) component (#6825) (ea2e5be)
v2: V2 create run api (#6689) (2e94575)
upgrade argo to v3.1.14 (#6809) (4cf34e2)
api: Update pipeline_spec.proto to add pipeline_job_uuid and pipeline_job_name in PipelineTaskFinalStatus (#6557) (6252b09)
api: Updates pipeline_spec.proto to use google.protobuf.Value (#6402) (b8c450f)
backend: Adding prometheus annotations for ml-pipeline service (#6572) (7875b68)
backend: support uploading v2 pipeline spec. Fixes #6169 (#6513) (49de8a9)
component: add new artifact types for gcp resources (#6627) (286a495)
component: use resource name for input artifact (#6698) (89e4c1c)
components: Add and update existing documentations for GCPC components (#6525) (99d1823)
components: Add model upload container component (#6609) (8a363ef)
components: Add static YAML for batch predict, create endpoint, upload and deploy model (#6466) (66a1840)
components: Adds Notebooks Executor API in the experimental components (#6630) (cd37c2c)
components: Copy the GCP components to contrib folder (#6421) (c783705)
components: Implement HyperparameterTuningJob component (#6235) (d9e463f)
components: move dataflow/bq component to google-cloud (#6422) (d864db1)
components: Refresh the create endpoint component to follow container interface (#6647) (8b67505)
components: Update batch prediction component (#6663) (fc40e0a)
components: Update model deploy and model export components (#6654) (bc19d92)
components/google-cloud: Add a new forecasting training component that uses the experimental flags (#6591) (77585f0)
components/google-cloud: add a new python based component that connects the forecasting preprocessing component with the training component (#6568) (cd4f191)
components/google-cloud: add dataflow wait component (#6484) (166c71c)
components/google-cloud: Add description for prep data for train component. (#6597) (6ed4899)
components/google-cloud: add gcp resources proto (#6478) (572643f)
components/google-cloud: add preprocessing_bigquery_dataset to the inputs of preprocessing component (#6461) (c127996)
components/google-cloud: add README.md file for forecasting components. (#6452) (a72c8b7)
components/google-cloud: Add support for labels in custom_job wrapper (#6579) (400ed0c)
components/google-cloud: Create remote runner for batch prediction jobs (#6580) (be47be1)
components/google-cloud: Expose all Custom Job parameters via Custom Job wrapper (#6539) (680e917)
components/google-cloud: Move flex template python files from piper (#6617) (7c939bd)
components/google-cloud: Support Proto Plus serialization (#6464) (610a1f2)
components/google-cloud: Write proper GCP_RESOURCE parameter to the custom_job output (#6558) (83ecb97)
deployment: update and secure metacontroller (#6537) (5c5f210)
frontend: Add styling for Artifact Node. Partial #6280 (#6418) (964a62e)
frontend: Add to UI pipeline version description. Part of #6256 (#6393) (19b3de4)
frontend: Create an Expand button to open SubDAG. Partial #6301 (#6490) (a358124)
frontend: Execution,Artifact side panel for KFPv2 Run Detail. Fix #6740 Fix #6739 Partial #6676 (#6741) (d2c234a)
frontend: Runtime DAG in RunDetailsV2. Fix #6673 (#6694) (74c7773)
frontend: Show hyperlink from Execution to Pipeline Run detail page and Original Execution cache. Fix #5977 (#6556) (3ba2a18)
frontend: Show Pipeline Spec in Pipeline Detail page. Fix #6279 (#6524) (5c2b529)
frontend: SidePanel for static pipeline template. Fix #6399, Fix #6610, Fix #6611 (#6613) (5c89d51)
frontend: Stateful v2 Node styling. Fix #6280 (#6519) (f6ee12a)
frontend: SubDag Node and mock samples. Partial #6419. Fix #6302. Fix #6398 (#6420) (d03277f)
frontend: Support Pipeline summary card and pulling version template for V2. Fix #6633 (#6634) (e0f4f7c)
frontend: V2 Run Details - Toolbar, Page title, Experiments. Fix #6708, partial #6707 (#6709) (a441369)
sdk: Add BaseModel to component_spec data classes (#6372) (65174cd)
sdk: Add IfPresentPlaceholder and ConcatPlaceholder for dsl v2 (#6639) (96a2609)
sdk: add v2 placeholder variables (#6693) (a2cdf74)
sdk: ComponentStore - URI template support. Fixes #4708 (#5434) (daccc5a)
sdk: Configure pipeline run service account. Fixes #6424 (#6455) (139acc8)
sdk: detail option to kfp run get. Fixes #6315 (#6404) (728915f)
sdk: Enable containerizing v2 Python components (#6417) (fe66377)
sdk: Enable re-use of PVC with VolumeOp (#6582) (24331a9)
sdk: load v1 and v2 component spec (#6497) (8100c5e)
sdk: Local runner supports additional docker options. Fixes #6598 (#6599) (36e627d)
sdk: Update cloudpickle to 2.0.0 (fixes #6699) (#6703) (bcb0d96)
sdk.v2: Define PipelineParameterChannel and PipelineArtifactChannel. (#6470) (2176fee)
sdk.v2: Support set_display_name in v2. (#6471) (cfefc6d)
sdk.v2: Support container environment variable in v2. (#6515) (29226e9)
v2: added importer support (#6415) (4438929)
v2: Support v2 caching (#6569) (951b968)
upgrade MLMD to 1.2.0. Fix #6436 (#6437) (e035a88)

Bug Fixes

backend: Decompress workflow node statuses if necessary. Fixes #6547 (#6548) (ccc5dc9)
backend: Fix connection lifetime default and variable names. (#6509) (e58aff7)
backend: Fix v1 caching to read Argo template from container env. Fixes #7266 (#7267) (1a0071b)
backend: make cache-deployer generate CSR using kubelet-serving signerName (#7273) (733a516)
backend: missing permissions for scheduled workflows (#7155) (3d63b9b)
backend: Update composite-controller.yaml to fix https://github.com/kubeflow/manifests/issues/2133 (#7311) (761873c)
backend: Updates nodeSelector, and Affinity Paths in cache-server. Fixes #6623 (#6656) (773e965)
components: move components to contrib/ folder (#6438) (7d6133b)
components: Update all GCPC components naming to be consistent (#6449) (163cfa9)
components/google-cloud: Custom Job resource proto output is incorrect (#6593) (6e32f42)
components/google-cloud: Change run_as_vertex_ai_custom_job to custom_training_job_op (#6616) (3c7d419)
components/google-cloud: Correct custom job default values (#6638) (ab58885)
components/google-cloud: Fix custom job wrapper error on empty input spec. (#6653) (ed80933)
components/google-cloud: Fix Dataflow component sample. (d7c5bae)
components/google-cloud: Fix Dataflow error log reporting. (927d2a9)
components/google-cloud: Fix Help string for dataflow python_module_path (9828007)
components/google-cloud: Fix the default value of preprocessing_bigquery_dataset (#6481) (3a88429)
components/google-cloud: Fix the keyword argument 'project_id' to 'project' after the yaml upd… (#6463) (e45782e)
components/google-cloud: Move the input param details out of the pipeline definition. (#6459) (c41e4a1)
components/google-cloud: Pipeline parameters with type Int cannot be passed to aiplatform components (#6607) (86828f2)
components/google-cloud: Remove executor_input (#6665) (d80f1dd)
components/google-cloud: Remove experimental modules from init (#6443) (a165cc6)
components/google-cloud: Remove googletests library from unit tests to make sure they can run on github presubmit. (7ea9454)
components/google-cloud: Remove special handing for "=" in remote_runner. (a66648d)
components/google-cloud: REVERT - remove custom python package training op (#6688) (c5e7861)
components/google-cloud: Set executor_input to empty for custom job (#6677) (4906ab2)
components/google-cloud: Stage requirements_file and setup_file locally for Dataflow component. (73a0551)
components/google-cloud: Switch to v2 types_util (#6453) (27b3511)
deployment: the viewer controller does not work because of missing permissions (#6892) (8f809c5)
frontend: Batch upgrade for fundamental dependency blocks. (Node, CRA, tailwind and more) Fix #7148 (#7144) (48e1e29)
frontend: Fix the styling for custom icons on sideNav (#6440) (aec5792)
frontend: fixes link to Vertex AI workbench in GettingStarted page. (#7227) (5a89f83)
frontend: Fulfill name/state/workspace for MLMD Executions and Artifacts list. (#6989) (181dd92)
manifests: Fix typo in default executor name (#7159) (4d660f8)
manifests: Remove redundant secret value in profile controller (#7087) (af9d058)
manifests: Upgrade kpt to 1.0.0-beta.6. Fix #5368 (#6595) (4abc4fd)
manifests: Upgrade rbac to v1 for multi-user mode (#7097) (632e71e)
manifests: Upgrade third_party CRDs to v1 for k8s 1.22. Partial #6014 (#7098) (f3a1b65)
manifests: Use number for cloudsql liveness port (#7252) (3953b59)
samples: Add kfp_package_path to importer sample test. (#6507) (236f67e)
samples: Use TFX library version for parameterized_tfx_oss. Fix #6974 (#6993) (3cfff3d)
sdk: Add missing retry policy. (#6808) (ec4ab2d)
sdk: change otherwise to else in yaml (#6952) (4484ccd)
sdk: fix bug in checking values in _param_values. Fixes #6799 (#6965) (a71fce0)
sdk: fix cloud scheduler's job name (#6844) (b2414f3)
sdk: fix input/outputspec and positional arguments (#6980) (85d7433)
sdk: Fix invalid doc example of python_component (#6841) (2f2ebf8)
sdk: fix load_test (#6978) (0842934)
sdk: fix resource spec test (#6979) (485a077)
sdk: Fix type_utils (#6719) (14b3d67)
sdk: fixes the specified 'mlpipeline-ui-metadata','mlpipeline-metrics' path is overrided by default value (#6796) (41275b4)
sdk: Get short name of complex input/output types to ensure we can map to appropriate de|serializer (#6504) (a0b18eb)
sdk: Make Artifact type be compatible with any sub-artifact types bidirectionally (#6859) (dea0823)
sdk: podSpecPatch bug. Fixes 6512 (#6514) (343350a)
sdk: refresh access token only when it expires. Fixes #6883 (#6941) (6d55e26)
sdk: removed duplicate function. Fixes #6586 (#6594) (8b55b16)
sdk: Require base and target images in built containers to be unique. (#6731) (b29c906)
sdk: sanitize op name. Fix #6433 (#6600) (4e89973)
sdk: Try alternatives for obtaining pip when ensurepip does not exist in container. (#6737) (77de39d)
sdk: Update upper bound on kubernetes constraint in Python SDK (#6532) (b613ca8)
sdk: update v2 yaml format (#6661) (5892bf9)
sdk: visualizations and metrics do not work with data_passing_methods (#6882) (b482ba8)
sdk.v2: Avoid pydantic union bug (#6957) (59dfffe)
sdk.v2: Block task dependency referencing tasks inside a sibling condition or loop group. (#7050) (6dfaeeb)
sdk.v2: Component is invalid if packages_to_install empty and install_kfp_package=False (#6527) (a52ac6d)
sdk.v2: fix Optional type hint causing executor to ignore user inputs for parameters. (#6541) (7626abf)
sdk.v2: Fix a couple of ParallelFor related bugs. Fixes #6383, fixes #6628 (#6643) (b466f59)
sdk.v2: fix boolean error for inputs (#7041) (1a0bef7)
sdk.v2: Fix bug on executor input with default value. (#6937) (2910d10)
sdk.v2: Fix display name support for groups (#6832) (0f2cab9)
sdk.v2: Fix executor getting None as value when float 0 is passed in. Fixes #6636 (#6682) (82ed66e)
sdk.v2: fix function-based components not preserving the namespace of GCPC artifact types. (#6702) (2b2e5fd)
sdk.v2: Fix importer ignoring reimport setting, and switch to Protobuf.Value for import uri. (#6827) (8c6843f)
sdk.v2: Fix InputPathPlaceholder changed to InputValuePlaceholder (#6794) (61fea6b)
sdk.v2: Fix missing experimental modules in setup.py (#6817) (7768f28)
sdk.v2: fix regression on nested loops (#6990) (c1b6715)
sdk.v2: Fix regression on optional inputs (#6905) (9ee4534)
sdk.v2: Fix the issue that using dsl. prefix in component I/O type annotation breaks component at runtime. (#6714) (073c819)
Remove some data from model_status when the size exceeds 3000 (#6528) (3a621fb)
Add workaround init container to fix test infra (#6618) (f870574)
disable cache for v1 mode in sample test (#6641) (0c2759d)
the cache server in combination with kubeflow profile quotas (#5743) (22f2693)
sdk.v2: fix importer not taking output from upstream (#6439) (06044dd)
sdk.v2: Fix passing in "" to a str parameter causes the parameter to receive it as None instead (#6533) (38e826b)
sdk.v2: fixes broken output parameter type checking in _handle_single_return_value (#6566) ([866dfc7](https://togithub.com/kubef

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renovate bot force-pushed the renovate/kubeflow-pipelines-1.x branch from 67f901f to af5c73c Compare

January 26, 2023 23:18

renovate bot changed the title ~~chore(deps): update dependency kubeflow/pipelines to v1.8.16~~ chore(deps): update dependency kubeflow/pipelines to v1.8.18

renovate bot force-pushed the renovate/kubeflow-pipelines-1.x branch from af5c73c to 223f39e Compare

March 8, 2023 23:20

renovate bot changed the title ~~chore(deps): update dependency kubeflow/pipelines to v1.8.18~~ chore(deps): update dependency kubeflow/pipelines to v1.8.19

renovate bot force-pushed the renovate/kubeflow-pipelines-1.x branch from 223f39e to 5ab43cd Compare

April 17, 2023 13:33

renovate bot changed the title ~~chore(deps): update dependency kubeflow/pipelines to v1.8.19~~ chore(deps): update dependency kubeflow/pipelines to v1.8.20


          chore(deps): update dependency kubeflow/pipelines to v1.8.22

2c39473

renovate bot force-pushed the renovate/kubeflow-pipelines-1.x branch from 5ab43cd to 2c39473 Compare

May 28, 2023 10:43

renovate bot changed the title ~~chore(deps): update dependency kubeflow/pipelines to v1.8.20~~ chore(deps): update dependency kubeflow/pipelines to v1.8.22

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