dagster-slack 0.9.0

on Python PyPI

Breaking Changes

• The dagit key is no longer part of the instance configuration schema and must be removed from dagster.yaml files before they can be used.
• -d can no longer be used as a command-line argument to specify a mode. Use --mode instead.
• Use --preset instead of --preset-name to specify a preset to the pipeline launch command.
• We have removed the config argument to the ConfigMapping, @composite_solid, @solid, SolidDefinition, @executor, ExecutorDefinition, @logger, LoggerDefinition, @resource, and ResourceDefinition APIs, which we deprecated in 0.8.0. Use config_schema instead.

New

• Python 3.8 is now fully supported.
• -d or --working-directory can be used to specify a working directory in any command that
  takes in a -f or --python_file argument.
• Removed the deprecation of create_dagster_pandas_dataframe_type. This is the currently
  supported API for custom pandas data frame type creation.
• Removed gevent dependency from dagster
• New configured API for predefining configuration for various definitions: https://docs.dagster.io/overview/configuration/#configured
• Added hooks to enable success and failure handling policies on pipelines. This enables users to set up policies on all solids within a pipeline or on a per solid basis. Example usage can be found here
• New instance level view of Scheduler and running schedules
• dagster-graphql is now only required in dagit images.