great-expectations 0.11.0

on Python PyPI

What’s Changed

• [BREAKING] run_id is now typed using the new RunIdentifier class, which consists of a run_time and
  run_name. Existing projects that have Expectation Suite Validation Results must be migrated.
  See Upgrading to 0.11 for instructions.
• [BREAKING] ValidationMetric and ValidationMetricIdentifier objects now have a data_asset_name attribute.
  Existing projects with evaluation parameter stores that have database backends must be migrated.
  See Upgrading to 0.11 for instructions.
• [BREAKING] ValidationOperator.run now returns an instance of new type, ValidationOperatorResult (instead of a
  dictionary). If your code uses output from Validation Operators, it must be updated.
• Major update to the styling and organization of documentation! Watch for more content and reorganization as we continue to improve the documentation experience with Great Expectations.
• [FEATURE] Data Docs: redesigned index page with paginated/sortable/searchable/filterable tables
• [FEATURE] Data Docs: searchable tables on Expectation Suite Validation Result pages
• data_asset_name is now added to batch_kwargs by batch_kwargs_generators (if available) and surfaced in Data Docs
• Renamed all generator_asset parameters to data_asset_name
• Updated the dateutil dependency
• Added experimental QueryStore
• Removed deprecated cli tap command
• Added a 0.11 upgrade helper
• Corrected Scaffold maturity language in notebook to Experimental
• Updated the installation/configuration documentation for Snowflake users
• [ENHANCEMENT] Improved error messages for misconfigured checkpoints.
• [BUGFIX] Fixed bug that could cause some substituted variables in DataContext config to be saved to great_expectations.yml