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CHANGELOG.md

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Changelog

Unreleased

0.11.0 - 2024-03-22

  • Applied copier template config for consistency - refactoring and configuration small details
  • Updated dependencies and tested for kedro 0.19.3
  • Node grouping: Changed convention from : to . due to kedro limitation on colons in node tags
  • Removed EnvTemplatedConfigLoader that gets replaced by default OmegaConf capabilities

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

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.

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

0.8.1 - 2022-12-30

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

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

0.7.0 - 2022-09-08

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

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)

0.5.0 - 2022-07-13

  • Add support for kedro>=0.18.1,<0.19 (#36)
  • Dependency update kfp==0.18.1 (#45)
  • Added tests and support for python 3.9 and 3.10 (#37)

0.4.1 - 2022-04-14

  • Add missing initialize-job for mlflow-start-run step, added MLFlowGoogleIAMCredentialsProvider.

0.4.0 - 2022-04-08

  • Add support for list type in parameters (+ restore dynamic parameters functionality (#23))
  • Add support for dynamic configuration generation within VertexAI job (#18)
  • Support config globals via optional KEDRO_GLOBALS_PATTERN environment variable in EnvTemplatedConfigLoader (#28)

0.3.0 - 2022-03-28

  • Fix issues with data catalog namespacing for new spaceflights starter (#19)
  • Add end 2 end tests based on Kedro Spaceflights quickstart guide from our docs.
  • Move service account configuration from env variables to config file. (#7)
  • Refactored config to use pydantic for validation instead of homemade code. (#1)
  • Add --wait-for-completion and --timeout-seconds parameters to run-once command to wait for the Vertex AI job to complete when launched from CLI

0.2.0 - 2022-03-23

  • Added quickstart guide to plugin documentation

0.1.0 - 2022-03-15