* feat: add tableDiff test case
This changed introduces a "table diff" test case which
compares two tables and fails if they are not identical.
The similarity is made based on a specific "key" (because the test only makes sense when performed on ordered collections).
1. Added the `tableDiff` test definition.
2. Implemented a "runtime" parameters feature which injects additional parameters for the test at runtime.
3. Integration tests (because of course).
This feature was not tested end-to-end yet because "array" data
* pydantic v2
* format
* format
* format and added data diff to setup.py
* format
* fixed param issue which has type ARRAY
* fixed runtime_parameter_setter
* moved models to parent directory
* handle errors in table diff
* fixed issue with edit test case
* format
* added more details to pytest skip
* format
* refactor: Improve createTestCaseParameters function in DataQualityUtils
* fixed unit test
* removed unused fixture
* removed validator.py
* fixed tests
* added validate kwarg to tests_mixin
* removed "postgres" data diff extra as they interfere with psycopg2-binary
* fixed tests
* pinned tenacity for tests
* reverted tenacity pinning
* added ui support for test diff
* fixed dq cypress and added edit flow
* organized the test case
* added dialect support
* fixed tests
* option style fix
* fixed calculation for passing/failing rows
* restrict the tableDiff test to limited services
* set where to None if blank string
* fixed where clause
* fixed tests for where clause
* use displayName in place of name in edit form
* added docs for RuntimeParameterSetter
* fixed cypress
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Co-authored-by: Shailesh Parmar <shailesh.parmar.webdev@gmail.com>
* fix: limit sampling to specific column
* fix: handle bigquery struct columns
* fix: default partition to 1 DAY for BQ
* fix: default to __TABLES__ for BQ table metrics
* style: ran python linting
* style: fix linting
* fix: python style
* fix: set partition to DAY if not HOUR
* feat: add backend support for custom metrics
* feat: fix python test
* feat: support custom metrics computation
* feat: updated tests for custom metrics
* feat: added dl support for min max of datetime
* feat: added is safe query check for query sampler
* feat: added support for custom metric computation in dl
* feat: added explicit addProper for pydantic model import fo Extra
* feat: added custom metric to returned obj
* feat: wrapped trino import in __init__
* feat: fix python linting
* feat: fix typing in 3.8
