mirror of
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763 lines
24 KiB
Python
763 lines
24 KiB
Python
# Copyright 2025 Collate
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# Licensed under the Collate Community License, Version 1.0 (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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# https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
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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 date, datetime
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from unittest.mock import patch
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import pytest
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from metadata.data_quality.validations.models import (
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TableCustomSQLQueryRuntimeParameters,
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)
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from metadata.generated.schema.entity.services.databaseService import DatabaseConnection
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from metadata.generated.schema.tests.basic import TestCaseResult, TestCaseStatus
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from metadata.generated.schema.tests.testCase import TestCase, TestCaseParameterValue
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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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TEST_CASE_SUPPORT_ROW_LEVEL_PASS_FAILED = {
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"columnValuesLengthToBeBetween",
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"columnValuesToBeBetween",
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"columnValuesToBeInSet",
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"columnValuesToBeNotInSet",
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"columnValuesToBeNotNull",
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"columnValuesToBeUnique",
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"columnValuesToMatchRegex",
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"columnValuesToNotMatchRegex",
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"tableCustomSQLQuery",
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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_values_to_be_between_date",
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"columnValuesToBeBetween",
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"COLUMN",
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(
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TestCaseResult,
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"2021-07-01 00:00:00",
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"2021-07-01 23:59:59.999999",
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TestCaseStatus.Failed,
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0.0,
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30.0,
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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_be_between_datetime",
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"columnValuesToBeBetween",
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"COLUMN",
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(
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TestCaseResult,
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"2021-07-01 10:37:59",
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"2021-07-01 10:37:59",
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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_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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"0",
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"8",
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TestCaseStatus.Failed,
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20.0,
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10.0,
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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, 30.0, 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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(TestCaseResult, None, None, TestCaseStatus.Success, 30.0, 0.0, 100.0, 0.0),
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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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(TestCaseResult, "31", None, TestCaseStatus.Failed, None, None, None, None),
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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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(TestCaseResult, "30", None, TestCaseStatus.Failed, None, None, None, None),
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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",
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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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"0.25",
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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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"20",
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None,
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TestCaseStatus.Success,
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20.0,
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10.0,
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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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"20",
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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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(TestCaseResult, "30", None, TestCaseStatus.Failed, None, None, None, None),
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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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"20",
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None,
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TestCaseStatus.Failed,
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10.0,
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20.0,
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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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"610",
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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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(TestCaseResult, "30", None, TestCaseStatus.Success, 30.0, 0.0, 100.0, 0.0),
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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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"10",
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None,
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TestCaseStatus.Failed,
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20.0,
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10.0,
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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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(TestCaseResult, "20", "0", TestCaseStatus.Failed, 0.0, 20.0, 0.0, 100.0),
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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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(TestCaseResult, "30", None, TestCaseStatus.Success, 30.0, 0.0, 100.0, 0.0),
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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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(TestCaseResult, "0", None, TestCaseStatus.Success, 30.0, 0.0, 100.0, 0.0),
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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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(
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TestCaseResult,
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"11",
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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_column_count_to_equal",
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"tableColumnCountToEqual",
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"TABLE",
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(TestCaseResult, "11", 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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(
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TestCaseResult,
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"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_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",
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"tableCustomSQLQuery",
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"TABLE",
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(TestCaseResult, "20", 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",
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"tableCustomSQLQuery",
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"TABLE",
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(TestCaseResult, "0", None, TestCaseStatus.Success, None, None, None, None),
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),
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(
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"test_case_table_custom_sql_with_partition_condition",
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"tableCustomSQLQuery",
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"TABLE",
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(TestCaseResult, "10", None, TestCaseStatus.Failed, 10, 10, 50.0, 50.0),
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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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"30",
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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_equal",
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"tableRowCountToEqual",
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"TABLE",
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(TestCaseResult, "30", None, TestCaseStatus.Failed, None, None, None, None),
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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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(TestCaseResult, "6", None, TestCaseStatus.Success, None, None, None, None),
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),
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(
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"test_case_table_custom_sql_query_with_threshold_success",
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"tableCustomSQLQuery",
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"TABLE",
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(
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TestCaseResult,
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"10",
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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_custom_sql_unsafe_query_aborted",
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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.Aborted,
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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_at_expected_location",
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"columnValuesToBeAtExpectedLocation",
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"COLUMN",
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(
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TestCaseResult,
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"30",
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"0",
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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_boolean",
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"columnValuesToBeInSet",
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"COLUMN",
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(TestCaseResult, "20", None, TestCaseStatus.Success, 20.0, 0.0, 66.67, 0.0),
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),
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],
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)
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def test_suite_validation_database(
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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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create_sqlite_table,
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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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if test_case_type in TEST_CASE_SUPPORT_ROW_LEVEL_PASS_FAILED:
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test_case.computePassedFailedRowCount = True
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if test_case_type == "tableCustomSQLQuery":
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runtime_params = TableCustomSQLQueryRuntimeParameters(
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conn_config=DatabaseConnection(
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config=create_sqlite_table.service_connection,
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),
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entity=create_sqlite_table.entity,
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)
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test_case.parameterValues.append(
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TestCaseParameterValue(
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name=TableCustomSQLQueryRuntimeParameters.__name__,
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value=runtime_params.model_dump_json(),
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)
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)
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if test_case_name == "test_case_column_values_to_be_between_date":
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with patch(
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"metadata.data_quality.validations.column.sqlalchemy.columnValuesToBeBetween.ColumnValuesToBeBetweenValidator._run_results",
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return_value=date(2021, 7, 1),
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):
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test_handler_obj = import_test_case_class(
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test_type,
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"sqlalchemy",
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test_case_type,
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)
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test_handler = test_handler_obj(
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create_sqlite_table,
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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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elif test_case_name == "test_case_column_values_to_be_between_datetime":
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with patch(
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"metadata.data_quality.validations.column.sqlalchemy.columnValuesToBeBetween.ColumnValuesToBeBetweenValidator._run_results",
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return_value=datetime(2021, 7, 1, 10, 37, 59),
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):
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test_handler_obj = import_test_case_class(
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test_type,
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"sqlalchemy",
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test_case_type,
|
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)
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test_handler = test_handler_obj(
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create_sqlite_table,
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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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else:
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test_handler_obj = import_test_case_class(
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test_type,
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"sqlalchemy",
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test_case_type,
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)
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test_handler = test_handler_obj(
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create_sqlite_table,
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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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if (
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test_case_type in TEST_CASE_SUPPORT_ROW_LEVEL_PASS_FAILED
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and test_case_name != "test_case_table_custom_sql_unsafe_query_aborted"
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):
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assert res.failedRows is not None
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assert res.failedRowsPercentage is not None
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assert res.passedRows is not None
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assert res.passedRowsPercentage is not None
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|
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# Test cases for dimensional validation
|
|
def test_column_values_to_be_in_set_backward_compatibility(create_sqlite_table):
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"""Test backward compatibility: non-dimensional ColumnValuesToBeInSet still works"""
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from uuid import uuid4
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from metadata.generated.schema.type.entityReference import EntityReference
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test_case = TestCase(
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name="test_dimensional_backward_compatibility",
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entityLink="<#E::table::service.db.users::columns::nickname>",
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testSuite=EntityReference(id=uuid4(), type="TestSuite"), # type: ignore
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testDefinition=EntityReference(id=uuid4(), type="TestDefinition"), # type: ignore
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parameterValues=[
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TestCaseParameterValue(
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name="allowedValues", value='["john", "jane", "bob"]'
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),
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TestCaseParameterValue(name="matchEnum", value="false"),
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],
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# No dimensionColumns - this should work exactly as before
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)
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test_handler_obj = import_test_case_class(
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"COLUMN",
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"sqlalchemy",
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"columnValuesToBeInSet",
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)
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test_handler = test_handler_obj(
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create_sqlite_table,
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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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# Verify this is not a dimensional test
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assert not test_handler.is_dimensional_test()
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# Mock the query result
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with patch.object(test_handler, "_run_results", return_value=25):
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res = test_handler.run_validation()
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# Verify standard behavior
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assert isinstance(res, TestCaseResult)
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assert res.testCaseStatus in [TestCaseStatus.Success, TestCaseStatus.Failed]
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assert res.dimensionResults is None # No dimensional results
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assert len(res.testResultValue) == 1
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assert res.testResultValue[0].name == "allowedValueCount"
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def test_column_values_to_be_in_set_dimensional_validation(create_sqlite_table):
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"""Test dimensional validation functionality"""
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from uuid import uuid4
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from metadata.generated.schema.type.entityReference import EntityReference
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test_case = TestCase(
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id=uuid4(),
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name="my_test_case",
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fullyQualifiedName="my_test_case_fqn",
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entityLink="<#E::table::service.db.users::columns::nickname>",
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testSuite=EntityReference(id=uuid4(), type="TestSuite"), # type: ignore
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testDefinition=EntityReference(id=uuid4(), type="TestDefinition"), # type: ignore
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parameterValues=[
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TestCaseParameterValue(
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name="allowedValues", value='["john", "jane", "bob"]'
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),
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TestCaseParameterValue(name="matchEnum", value="false"),
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],
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dimensionColumns=["name"], # Enable dimensional analysis on name column
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computePassedFailedRowCount=True,
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) # type: ignore
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test_handler_obj = import_test_case_class(
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"COLUMN",
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"sqlalchemy",
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"columnValuesToBeInSet",
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)
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test_handler = test_handler_obj(
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create_sqlite_table,
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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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# Verify this is a dimensional test
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assert test_handler.is_dimensional_test()
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# Mock the main query result and dimensional query results
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mock_dimensional_data = [
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("John", 1), # name=John, count_in_set=1
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("Jane", 1), # name=Jane, count_in_set=1
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("Bob", 1), # name=Bob, count_in_set=1
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]
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with patch.object(test_handler, "_run_results", return_value=23), patch.object(
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test_handler.runner,
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"select_all_from_sample",
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return_value=mock_dimensional_data,
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), patch.object(test_handler, "_get_column_name") as mock_get_column:
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# Mock column objects with required attributes for COUNT_IN_SET metric
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from sqlalchemy import String
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mock_main_column = type("Column", (), {"name": "nickname", "type": String()})()
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mock_name_column = type("Column", (), {"name": "name", "type": String()})()
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def mock_get_column_side_effect(column_name=None):
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if column_name == "name":
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return mock_name_column
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return mock_main_column
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mock_get_column.side_effect = mock_get_column_side_effect
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res = test_handler.run_validation()
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# Verify main test result
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assert isinstance(res, TestCaseResult)
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assert res.testCaseStatus in [TestCaseStatus.Success, TestCaseStatus.Failed]
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assert len(res.testResultValue) == 1
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assert res.testResultValue[0].name == "allowedValueCount"
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# Verify dimensional results exist
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assert res.dimensionResults is not None
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assert len(res.dimensionResults) == 3 # Three dimension values: John, Jane, Bob
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# Verify first dimensional result structure
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dim_result = res.dimensionResults[0]
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assert "name" in dim_result.dimensionValues
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assert dim_result.dimensionKey.startswith("name=")
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assert dim_result.testCaseStatus in [TestCaseStatus.Success, TestCaseStatus.Failed]
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assert dim_result.testResultValue is not None
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assert len(dim_result.testResultValue) == 1
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assert dim_result.testResultValue[0].name == "allowedValueCount"
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def test_column_values_to_be_in_set_invalid_dimension_column(create_sqlite_table):
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"""Test error handling for invalid dimension columns"""
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from uuid import uuid4
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from metadata.generated.schema.type.entityReference import EntityReference
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test_case = TestCase(
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name="test_invalid_dimension_column",
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entityLink="<#E::table::service.db.users::columns::nickname>",
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testSuite=EntityReference(id=uuid4(), type="TestSuite"), # type: ignore
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testDefinition=EntityReference(id=uuid4(), type="TestDefinition"), # type: ignore
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parameterValues=[
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TestCaseParameterValue(
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name="allowedValues", value='["john", "jane", "bob"]'
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),
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],
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dimensionColumns=["invalid_column"], # Invalid dimension column
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)
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test_handler_obj = import_test_case_class(
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"COLUMN",
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"sqlalchemy",
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"columnValuesToBeInSet",
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)
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test_handler = test_handler_obj(
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create_sqlite_table,
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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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# Verify this is a dimensional test
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assert test_handler.is_dimensional_test()
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# Mock column resolution to raise ValueError for invalid column
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with patch.object(test_handler, "_run_results", return_value=23), patch.object(
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test_handler, "_get_column_name"
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) as mock_get_column:
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def mock_get_column_side_effect(column_name=None):
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if column_name == "invalid_column":
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raise ValueError(f"Cannot find column {column_name}")
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return type("Column", (), {"name": "address_id"})()
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mock_get_column.side_effect = mock_get_column_side_effect
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res = test_handler.run_validation()
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# Should return aborted status due to invalid dimension column
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assert isinstance(res, TestCaseResult)
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assert res.testCaseStatus == TestCaseStatus.Aborted
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assert "Dimensional validation failed" in res.result
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assert "invalid_column" in res.result
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