Version 1.4.0

• Fix DF module from incorrectly referring to deprecated value self.env
• Add support for endpoint access gateway for AWS
• Break out usage of environment name from environment CRN in DF
• Use DF states from common instead of explicit values for checks
• Fix DF check-for-wait condition when disabling, should wait if requested regardless of whether disable called or not
• Fix attempting to enable DF when Environment not present
• Fix DF wait-for-disable incorrectly stipulating that state should be None when it should be checking if field response is None
• Switch to using REMOVABLE_STATES to indicate DF disable capability
• Support force removal keyword for DF to enable delete functionality
• Fix Datalake teardown request when teardown already in progress
• Fix Datalake removable states
• Fix Datalake storage mismatch check
• Switch ML to use standard states from cdpy instead of local listings
• Rework DF Disable function and force deletion for better determinism.
• Modify df_info to accept either a string name of DF Services, or the CRN of an individual service. This allows for situations where DF Services may be disabled but still listed when needing clean up.
• Improve DF listing mechanism in env_info to only retrieve active DF Services which need cleanup before an Environment is removed.
• Remove AWS DynamoDB references
• Fix formatting in datahub_template_info
• Update env module to support passing in freeipa instance count
• Increment version number and publish API docs

Version 1.3.0

Features:

• Add module for datahub_definition_info to retrieve details on CDP Datahub definitions

Updates:

• Refactor support for deploying datahubs via definitions with the datahub_cluster module.
• Add return_content flag to datahub_template_info for retrieving datahub cluster template contents
• Normalized returned values for datahub cluster templates in datahub_template_info

Version 1.2.0

Features:

• Support for DataFlow experiences (DFX) (tech preview)

Version 1.1.0

Features:

• ml_workspace_access module
• governance, model metrics for ml_workspace
• freeipa_info module

Fixes:

• Module spec logic for public_key_id and public_key_text
• Error handling messages
• Return values for ml and ml_info modules