v0.4.0

This minor release includes 11 commits.

Features

• Wrap all Dagster dg CLI commands to be run from within a Kedro project with kedro dagster <dg command> by @gtauzin
• Add a kedro_dagster.logging module meant to replace logging imports in Kedro nodes so loggers are captured and integrated with Dagster by @gtauzin
• Add loggers section to dagster.yml configuration file to configure Dagster run loggers by @gtauzin
• Rename LoggerTranslator to LoggerCreator for consistency with ExecutorCreator and SchedulerCreator by @gtauzin
• Declare direct dependency on pydantic>=1.0.0,<3.0.0 and enable version-agnostic Pydantic configuration by @gtauzin
• Add conda-forge support for Kedro-Dagster, allowing installation with conda or mamba by @rxm7706 and @gtauzin
• Allow setting group_name in a dataset's metadata to override the pipeline-derived group name; group_name is also applied per-AssetOut for multi-assets so each asset can have an individual group by @gtauzin
• Add links to MLflow run in Dagster run logs, run tags, and materialized asset metadata by @gtauzin

Bug Fixes

• Fix how LoggerCreator creates loggers for Dagster runs. Generic logging configuration is now supported from dagster.yml by @gtauzin

Refactoring

• Make env a required parameter of KedroProjectTranslator by @gtauzin
• Remove dev config in dagster.yml by @gtauzin

Contributors

Thanks to all contributors for this release:

• @gtauzin
• @rxm7706