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[FEATURE] Add support for returning fully-qualified parameters names/values from RuleOutput object #4773

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alexsherstinsky
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@alexsherstinsky alexsherstinsky commented Apr 6, 2022

Please annotate your PR title to describe what the PR does, then give a brief bulleted description of your PR below. PR titles should begin with [BUGFIX], [FEATURE], [DOCS], or [MAINTENANCE]. If a new feature introduces breaking changes for the Great Expectations API or configuration files, please also add [BREAKING]. You can read about the tags in our contributor checklist.

Changes proposed in this pull request:

  • JIRA: GREAT-735/GREAT-791

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Alex Sherstinsky added 15 commits April 5, 2022 13:36
…ky/rule_based_profiler/introduce_rule_state_class-2022_04_05-80
…ky/rule_based_profiler/introduce_rule_state_class-2022_04_05-80
…ler in support of richer use cases (such as DataAssistant).
…ky/rule_based_profiler/introduce_rule_state_class-2022_04_05-80
…ky/rule_based_profiler/introduce_rule_state_class-2022_04_05-80
…ky/rule_based_profiler/introduce_rule_state_class-2022_04_05-80
…5/GREAT-597/alexsherstinsky/rule_based_profiler/add_support_for_returning_parameters_and_metrics_as_rule_output-2022_04_06-83
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@anthonyburdi anthonyburdi left a comment

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LGTM!

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@Shinnnyshinshin Shinnnyshinshin left a comment

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🙇🏼

@@ -364,7 +349,7 @@ def expectation_suite(

return expectation_suite

def expectation_configurations(self) -> List[ExpectationConfiguration]:
def get_expectation_configurations(self) -> List[ExpectationConfiguration]:
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❤️

@alexsherstinsky alexsherstinsky merged commit eda88d4 into develop Apr 6, 2022
@alexsherstinsky alexsherstinsky deleted the feature/GREAT-735/GREAT-791/alexsherstinsky/rule_based_profiler/add_support_for_returning_parameters_as_rule_output-2022_04_06-84 branch April 6, 2022 21:53
Shinnnyshinshin pushed a commit that referenced this pull request Apr 7, 2022
…ckpoint' of https://github.com/great-expectations/great_expectations into feature/CLOUD-839/GREAT-767/runtime-data-connector-assets

* 'DOCS/DOC-212/how_to_validate_data_with_an_in_memory_checkpoint' of https://github.com/great-expectations/great_expectations: (22 commits)
  -correction to line reference
  -corrections to python version of the config reference script
  - formatted sample scripts with black - updated line numbers in document
  -updated line numbers for script references
  - Added example scripts with asserts for testing for use as referenced files in documentation. - Added example scripts to test_script_runner.py
  Remove bootstrap tests that are no longer needed (#4818)
  - correct typo in URL in script docstring (#4817)
  - Update how-to guide content - Update old documentation to point to new how-to guide.
  Maintenance/check for mostly equals 1 in renderers (#4815)
  Update tutorial_review.md (#4611)
  Update README.md (#4595)
  fix IPython deprecation warning (#4301)
  [FEATURE] Add support for returning fully-qualified parameters names/values from RuleOutput object (#4773)
  [MAINTENANCE] Remove unused bootstrap methods that were migrated to ML Flow (#4742)
  fix: update module_name in NoteBookConfigSchema from v2 path to v3 (#4589)
  [HACKATHON] ExpectColumnValuesToBeValidTcpPort (#4634)
  [FEATURE] Introducing RuleState class and RuleOutput class for Rule-Based Profiler in support of richer use cases (such as DataAssistant). (#4704)
  revert to not raising datasource errors on data context init (#4732)
  Add checks for mostly=1.0 for all renderers (#4736)
  Maintenance/improve get validator functionality (#4661)
  ...
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3 participants