0.18.1

Major features and improvements

• Added a new hook after_context_created that passes the KedroContext instance as context.
• Added a new CLI hook after_command_run.
• Added more detail to YAML ParserError exception error message.
• Added option to SparkDataSet to specify a schema load argument that allows for supplying a user-defined schema as opposed to relying on the schema inference of Spark.
• The Kedro package no longer contains a built version of the Kedro documentation significantly reducing the package size.

Bug fixes and other changes

• Removed fatal error from being logged when a Kedro session is created in a directory without git.
• Fixed CONFIG_LOADER_CLASS validation so that TemplatedConfigLoader can be specified in settings.py. Any CONFIG_LOADER_CLASS must be a subclass of AbstractConfigLoader.
• Added runner name to the run_params dictionary used in pipeline hooks.
• Updated Databricks documentation to include how to get it working with IPython extension and Kedro-Viz.
• Update sections on visualisation, namespacing, and experiment tracking in the spaceflight tutorial to correspond to the complete spaceflights starter.
• Fixed Jinja2 syntax loading with TemplatedConfigLoader using globals.yml.
• Removed global _active_session, _activate_session and _deactivate_session. Plugins that need to access objects such as the config loader should now do so through context in the new after_context_created hook.
• config_loader is available as a public read-only attribute of KedroContext.
• Made hook_manager argument optional for runner.run.
• kedro docs now opens an online version of the Kedro documentation instead of a locally built version.

Upcoming deprecations for Kedro 0.19.0

• kedro docs will be removed in 0.19.0.