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b960b60965
* 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 --------- Co-authored-by: Shailesh Parmar <shailesh.parmar.webdev@gmail.com>
527 lines
14 KiB
Python
527 lines
14 KiB
Python
# Copyright 2021 Collate
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Test Table and Column Tests' validate implementations.
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Each test should validate the Success, Failure and Aborted statuses
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"""
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from datetime import datetime, timedelta
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import pytest
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from pandas import DataFrame
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from metadata.generated.schema.tests.basic import TestCaseResult, TestCaseStatus
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from metadata.utils.importer import import_test_case_class
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EXECUTION_DATE = datetime.strptime("2021-07-03", "%Y-%m-%d")
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DL_DATA = (
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[
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"1",
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"John",
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"Jo",
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"John Doe",
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"johnny b goode",
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30,
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datetime.today() - timedelta(days=1),
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],
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[
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"2",
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"Jane",
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"Ja",
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"Jone Doe",
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"Johnny d",
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31,
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datetime.today() - timedelta(days=2),
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],
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["3", "John", "Joh", "John Doe", None, None, datetime.today() - timedelta(days=3)],
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)
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DATALAKE_DATA_FRAME = lambda times_increase_sample_data: DataFrame(
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DL_DATA * times_increase_sample_data,
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columns=[
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"id",
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"name",
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"first name",
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"fullname",
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"nickname",
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"age",
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"inserted_date",
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],
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)
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# pylint: disable=line-too-long
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@pytest.mark.parametrize(
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"test_case_name,test_case_type,test_type,expected",
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[
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(
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"test_case_column_value_length_to_be_between",
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"columnValueLengthsToBeBetween",
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"COLUMN",
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(
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TestCaseResult,
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"8",
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"14",
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TestCaseStatus.Failed,
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4000.0,
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2000.0,
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66.67,
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33.33,
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),
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),
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(
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"test_case_column_value_length_to_be_between_col_space",
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"columnValueLengthsToBeBetween",
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"COLUMN",
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(TestCaseResult, "2", "3", TestCaseStatus.Success, 6000.0, 0.0, 100.0, 0.0),
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),
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(
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"test_case_column_value_length_to_be_between_no_min",
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"columnValueLengthsToBeBetween",
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"COLUMN",
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(
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TestCaseResult,
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None,
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None,
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TestCaseStatus.Success,
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6000.0,
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0.0,
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100.0,
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0.0,
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),
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),
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(
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"test_case_column_value_max_to_be_between",
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"columnValueMaxToBeBetween",
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"COLUMN",
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(
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TestCaseResult,
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"31.0",
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None,
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TestCaseStatus.Failed,
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None,
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None,
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None,
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None,
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),
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),
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(
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"test_case_column_value_max_to_be_between_no_min",
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"columnValueMaxToBeBetween",
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"COLUMN",
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(TestCaseResult, None, None, TestCaseStatus.Failed, None, None, None, None),
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),
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(
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"test_case_column_value_mean_to_be_between",
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"columnValueMeanToBeBetween",
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"COLUMN",
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(
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TestCaseResult,
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"30.5",
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None,
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TestCaseStatus.Failed,
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None,
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None,
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None,
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None,
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),
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),
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(
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"test_case_column_value_mean_to_be_between_no_max",
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"columnValueMeanToBeBetween",
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"COLUMN",
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(
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TestCaseResult,
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None,
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None,
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TestCaseStatus.Success,
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None,
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None,
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None,
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None,
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),
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),
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(
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"test_case_column_value_median_to_be_between",
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"columnValueMedianToBeBetween",
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"COLUMN",
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(
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TestCaseResult,
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"30.5",
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None,
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TestCaseStatus.Failed,
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None,
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None,
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None,
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None,
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),
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),
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(
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"test_case_column_value_min_to_be_between",
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"columnValueMinToBeBetween",
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"COLUMN",
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(
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TestCaseResult,
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"30.0",
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None,
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TestCaseStatus.Success,
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None,
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None,
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None,
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None,
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),
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),
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(
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"test_case_column_value_min_to_be_between_no_min",
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"columnValueMinToBeBetween",
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"COLUMN",
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(
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TestCaseResult,
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None,
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None,
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TestCaseStatus.Success,
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None,
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None,
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None,
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None,
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),
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),
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(
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"test_case_column_value_stddev_to_be_between",
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"columnValueStdDevToBeBetween",
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"COLUMN",
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(
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TestCaseResult,
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"0.500062511721192",
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None,
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TestCaseStatus.Failed,
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None,
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None,
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None,
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None,
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),
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),
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(
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"test_case_column_value_stddev_to_be_between_no_min",
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"columnValueStdDevToBeBetween",
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"COLUMN",
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(
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TestCaseResult,
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None,
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None,
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TestCaseStatus.Success,
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None,
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None,
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None,
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None,
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),
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),
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(
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"test_case_column_value_in_set",
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"columnValuesToBeInSet",
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"COLUMN",
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(
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TestCaseResult,
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"4000",
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None,
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TestCaseStatus.Success,
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4000.0,
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2000.0,
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66.67,
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33.33,
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),
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),
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(
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"test_case_column_values_missing_count_to_be_equal",
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"columnValuesMissingCount",
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"COLUMN",
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(
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TestCaseResult,
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"2000",
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None,
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TestCaseStatus.Failed,
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None,
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None,
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None,
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None,
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),
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),
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(
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"test_case_column_values_missing_count_to_be_equal_missing_values",
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"columnValuesMissingCount",
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"COLUMN",
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(
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TestCaseResult,
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"4000",
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None,
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TestCaseStatus.Failed,
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None,
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None,
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None,
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None,
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),
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),
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(
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"test_case_column_values_not_in_set",
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"columnValuesToBeNotInSet",
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"COLUMN",
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(
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TestCaseResult,
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"4000",
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None,
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TestCaseStatus.Failed,
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2000.0,
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4000.0,
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33.33,
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66.67,
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),
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),
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(
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"test_case_column_sum_to_be_between",
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"columnValuesSumToBeBetween",
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"COLUMN",
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(
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TestCaseResult,
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"122000.0",
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None,
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TestCaseStatus.Failed,
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None,
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None,
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None,
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None,
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),
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),
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(
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"test_case_column_values_to_be_between",
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"columnValuesToBeBetween",
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"COLUMN",
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(
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TestCaseResult,
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"30.0",
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None,
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TestCaseStatus.Success,
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6000.0,
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0.0,
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100.0,
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0.0,
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),
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),
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(
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"test_case_column_values_to_be_not_null",
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"columnValuesToBeNotNull",
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"COLUMN",
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(
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TestCaseResult,
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"2000",
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None,
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TestCaseStatus.Failed,
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4000.0,
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2000.0,
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66.67,
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33.33,
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),
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),
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(
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"test_case_column_values_to_be_unique",
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"columnValuesToBeUnique",
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"COLUMN",
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(
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TestCaseResult,
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"4000",
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"0",
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TestCaseStatus.Failed,
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0.0,
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4000.0,
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0.0,
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100.0,
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),
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),
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(
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"test_case_column_values_to_match_regex",
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"columnValuesToMatchRegex",
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"COLUMN",
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(
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TestCaseResult,
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"6000",
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None,
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TestCaseStatus.Success,
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6000.0,
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0.0,
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100.0,
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0.0,
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),
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),
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(
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"test_case_column_values_to_not_match_regex",
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"columnValuesToNotMatchRegex",
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"COLUMN",
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(
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TestCaseResult,
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"0",
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None,
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TestCaseStatus.Success,
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6000.0,
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0.0,
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100.0,
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0.0,
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),
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),
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(
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"test_case_table_column_count_to_be_between",
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"tableColumnCountToBeBetween",
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"TABLE",
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(TestCaseResult, "7", None, TestCaseStatus.Success, None, None, None, None),
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),
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(
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"test_case_table_column_count_to_equal",
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"tableColumnCountToEqual",
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"TABLE",
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(TestCaseResult, "7", None, TestCaseStatus.Failed, None, None, None, None),
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),
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(
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"test_case_table_column_name_to_exist",
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"tableColumnNameToExist",
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"TABLE",
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(TestCaseResult, "1", None, TestCaseStatus.Success, None, None, None, None),
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),
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(
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"test_case_column_to_match_set",
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"tableColumnToMatchSet",
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"TABLE",
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(TestCaseResult, "0", None, TestCaseStatus.Failed, None, None, None, None),
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),
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(
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"test_case_column_to_match_set_ordered",
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"tableColumnToMatchSet",
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"TABLE",
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(TestCaseResult, None, None, TestCaseStatus.Failed, None, None, None, None),
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),
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(
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"test_case_table_custom_sql_query_failed_dl",
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"tableCustomSQLQuery",
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"TABLE",
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(TestCaseResult, None, None, TestCaseStatus.Failed, None, None, None, None),
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),
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(
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"test_case_table_custom_sql_query_success_dl",
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"tableCustomSQLQuery",
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"TABLE",
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(
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TestCaseResult,
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None,
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None,
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TestCaseStatus.Success,
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None,
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None,
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None,
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None,
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),
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),
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(
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"test_case_table_row_count_to_be_between",
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"tableRowCountToBeBetween",
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"TABLE",
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(
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TestCaseResult,
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"6000",
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None,
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TestCaseStatus.Failed,
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None,
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None,
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None,
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None,
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),
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),
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(
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"test_case_table_row_count_to_be_equal",
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"tableRowCountToEqual",
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"TABLE",
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(
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TestCaseResult,
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"6000",
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None,
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TestCaseStatus.Failed,
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None,
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None,
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None,
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None,
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),
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),
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(
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"test_case_table_row_inserted_count_to_be_between",
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"tableRowInsertedCountToBeBetween",
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"TABLE",
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(
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TestCaseResult,
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"2000",
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None,
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TestCaseStatus.Success,
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None,
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None,
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None,
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None,
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),
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),
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],
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)
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def test_suite_validation_datalake(
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test_case_name,
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test_case_type,
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test_type,
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expected,
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request,
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):
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"""Generic test runner for test validations"""
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test_case = request.getfixturevalue(test_case_name)
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(
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type_,
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val_1,
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val_2,
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status,
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passed_rows,
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failed_rows,
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passed_percentage,
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failed_percentage,
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) = expected
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test_handler_obj = import_test_case_class(
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test_type,
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"pandas",
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test_case_type,
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)
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test_handler = test_handler_obj(
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[DATALAKE_DATA_FRAME(1_000), DATALAKE_DATA_FRAME(1_000)],
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test_case=test_case,
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execution_date=EXECUTION_DATE.timestamp(),
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)
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res = test_handler.run_validation()
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assert isinstance(res, type_)
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if val_1:
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assert res.testResultValue[0].value == val_1
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if val_2:
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assert res.testResultValue[1].value == val_2
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if passed_rows:
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assert res.passedRows == passed_rows
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if failed_rows:
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assert res.failedRows == failed_rows
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if passed_percentage:
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assert round(res.passedRowsPercentage, 2) == passed_percentage
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if failed_percentage:
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assert round(res.failedRowsPercentage, 2) == failed_percentage
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assert res.testCaseStatus == status
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