Release 0.12.0

[0.12.0] - 2025-03-11

• Support for python 3.11 & 3.12 added, dropped support for python 3.8
• Brought back the Vertex AI Pipelines scheduling capability
• Migrated to kfp 2 (locked to <2.9.0 due to pipeline spec changes)
• Removed image_pull_policy parameter from configuration, as it only applies to Kubernetes backend and not Vertex AI,
  and it's only available in kfp-kubernetes extension package
• Removed --timeout-seconds parameter from run-once command for now, as in the old version of the plugin exceeding the specified time
  didn't alter the remote pipeline execution, and only escaped the local Python processs. The timeout funcionality will be added later on,
  with the proper remote pipeline execution handling, and possibly per-task timeout enabled by the new kfp feature.
• Assign pipelines to Vertex AI experiments
• Migrated pydantic library to v2
• Custom dataset that creates Vertex AI artifact
• Added pipeline parametrization

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Release 0.11.1

[0.11.1] - 2024-07-01

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Release 0.11.0

What's Changed

• Applied copier template config for consistency among plugins (mostly cicd config)
• Updated dependencies and tested for kedro 0.19.3
• Node grouping: Changed convention from : to . due to introduced kedro limitation on special characters in node tags
• Removed EnvTemplatedConfigLoader that gets replaced by default OmegaConf capabilities

Full Changelog: 0.10.0...0.11.0

Release 0.10.0

[0.10.0] - 2023-11-22

• Added explicite pyarrow dependency to avoid critical vulnerability
• Updated dependencies and tested for kedro 0.18.14
• [Feature 🚀] Node grouping: added option to group multiple Kedro nodes together at execution in single Vertex AI process to allow better optimization - less steps, shorter delays while running Vertex AI nodes and less wasted time of data serialization thanks to possibility to use the MemoryDataset

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Release 0.9.1

[0.9.1] - 2023-08-16

• Updated dependencies of kedro to 0.18.8, mlflow to 2.3.2 and others
• Upgrade dependencies to resolve GHSA-6628-q6j9-w8vg.

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Release 0.9.0

[0.9.0] - 2023-05-15

• Add cache to Kedro's context in the ContextHelper class to prevent re-loading
• Upgrade dependencies to support kedro>=0.18.8
• Add support for OmegaConfigLoader
• Upgrade misc. dependencies
• Remove deprecated KedoVertexAIConfigLoaderHook
• ⚠️ Change default behaviour of config loader in the plugin to rely on project's one instead of EnvTemplatedConfigLoader
• [Docs 📝] Update documentation
• Improve E2E tests config

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Release 0.8.1

[0.8.1] - 2022-12-30

• Add cache to Kedro's context in the ContextHelper class to prevent re-loading

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Release 0.8.0

[0.8.0] - 2022-12-09

• Added support for configuration of resources and node selectors with Kedro node tags
• Added support for gpu configuration on Vertex AI (by adding node_selectors section and gpu resources entry in vertexai.yml configuration file)
• Added --auto-build option to run-once that calls 'docker build' and 'docker push' for you before running the job on VertexAI. It introduces '--yes' option to disable confirmation prompt

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Release 0.7.0

[0.7.0] - 2022-09-08

• Add better MLflow authorization entrypoints (via Hooks and MLflow Request Header Provider Plugin)

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Release 0.6.0

[0.6.0] - 2022-08-22

• Add auto-dataset creation, to make intermediate dataset creation transparent to the end-user (no need to explicitly add them in the Data Catalog) (#8)

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