yujunjun/OpenMetadata
1
0
Fork 0
mirror of https://github.com/open-metadata/OpenMetadata.git synced 2025-07-25 02:04:39 +00:00
Code Issues Packages Projects Releases Wiki Activity
OpenMetadata/ingestion/tests/unit/test_suite/test_validations_datalake.py
Mayur Singal 7760663b22
MINOR: Change ingestion licence header (#20549)
2025-04-03 10:39:47 +05:30

571 lines
14 KiB
Python
Raw Permalink Blame History

# Copyright 2025 Collate
# Licensed under the Collate Community License, Version 1.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Test Table and Column Tests' validate implementations.
Each test should validate the Success, Failure and Aborted statuses
"""
from datetime import datetime, timedelta
import pytest
from pandas import DataFrame
from metadata.generated.schema.tests.basic import TestCaseResult, TestCaseStatus
from metadata.utils.importer import import_test_case_class
EXECUTION_DATE = datetime.strptime("2021-07-03", "%Y-%m-%d")
DL_DATA = (
[
"1",
"John",
"Jo",
"John Doe",
"johnny b goode",
30,
datetime.today() - timedelta(days=1),
60001,
49.6852237,
1.7743058,
],
[
"2",
"Jane",
"Ja",
"Jone Doe",
"Johnny d",
31,
datetime.today() - timedelta(days=2),
19005,
45.2589385,
1.4731471,
],
[
"3",
"John",
"Joh",
"John Doe",
None,
None,
datetime.today() - timedelta(days=3),
11008,
42.9974445,
2.2518325,
],
)
DATALAKE_DATA_FRAME = lambda times_increase_sample_data: DataFrame(
DL_DATA * times_increase_sample_data,
columns=[
"id",
"name",
"first name",
"fullname",
"nickname",
"age",
"inserted_date",
"postal_code",
"lat",
"lon",
],
)
# pylint: disable=line-too-long
@pytest.mark.parametrize(
"test_case_name,test_case_type,test_type,expected",
[
(
"test_case_column_value_length_to_be_between",
"columnValueLengthsToBeBetween",
"COLUMN",
(
TestCaseResult,
"8",
"14",
TestCaseStatus.Failed,
4000.0,
2000.0,
66.67,
33.33,
),
),
(
"test_case_column_value_length_to_be_between_col_space",
"columnValueLengthsToBeBetween",
"COLUMN",
(TestCaseResult, "2", "3", TestCaseStatus.Success, 6000.0, 0.0, 100.0, 0.0),
),
(
"test_case_column_value_length_to_be_between_no_min",
"columnValueLengthsToBeBetween",
"COLUMN",
(
TestCaseResult,
None,
None,
TestCaseStatus.Success,
6000.0,
0.0,
100.0,
0.0,
),
),
(
"test_case_column_value_max_to_be_between",
"columnValueMaxToBeBetween",
"COLUMN",
(
TestCaseResult,
"31.0",
None,
TestCaseStatus.Failed,
None,
None,
None,
None,
),
),
(
"test_case_column_value_max_to_be_between_no_min",
"columnValueMaxToBeBetween",
"COLUMN",
(TestCaseResult, None, None, TestCaseStatus.Failed, None, None, None, None),
),
(
"test_case_column_value_mean_to_be_between",
"columnValueMeanToBeBetween",
"COLUMN",
(
TestCaseResult,
"30.5",
None,
TestCaseStatus.Failed,
None,
None,
None,
None,
),
),
(
"test_case_column_value_mean_to_be_between_no_max",
"columnValueMeanToBeBetween",
"COLUMN",
(
TestCaseResult,
None,
None,
TestCaseStatus.Success,
None,
None,
None,
None,
),
),
(
"test_case_column_value_median_to_be_between",
"columnValueMedianToBeBetween",
"COLUMN",
(
TestCaseResult,
"30.5",
None,
TestCaseStatus.Failed,
None,
None,
None,
None,
),
),
(
"test_case_column_value_min_to_be_between",
"columnValueMinToBeBetween",
"COLUMN",
(
TestCaseResult,
"30.0",
None,
TestCaseStatus.Success,
None,
None,
None,
None,
),
),
(
"test_case_column_value_min_to_be_between_no_min",
"columnValueMinToBeBetween",
"COLUMN",
(
TestCaseResult,
None,
None,
TestCaseStatus.Success,
None,
None,
None,
None,
),
),
(
"test_case_column_value_stddev_to_be_between",
"columnValueStdDevToBeBetween",
"COLUMN",
(
TestCaseResult,
"0.500062511721192",
None,
TestCaseStatus.Failed,
None,
None,
None,
None,
),
),
(
"test_case_column_value_stddev_to_be_between_no_min",
"columnValueStdDevToBeBetween",
"COLUMN",
(
TestCaseResult,
None,
None,
TestCaseStatus.Success,
None,
None,
None,
None,
),
),
(
"test_case_column_value_in_set",
"columnValuesToBeInSet",
"COLUMN",
(
TestCaseResult,
"4000",
None,
TestCaseStatus.Success,
4000.0,
2000.0,
66.67,
33.33,
),
),
(
"test_case_column_values_missing_count_to_be_equal",
"columnValuesMissingCount",
"COLUMN",
(
TestCaseResult,
"2000",
None,
TestCaseStatus.Failed,
None,
None,
None,
None,
),
),
(
"test_case_column_values_missing_count_to_be_equal_missing_values",
"columnValuesMissingCount",
"COLUMN",
(
TestCaseResult,
"4000",
None,
TestCaseStatus.Failed,
None,
None,
None,
None,
),
),
(
"test_case_column_values_not_in_set",
"columnValuesToBeNotInSet",
"COLUMN",
(
TestCaseResult,
"4000",
None,
TestCaseStatus.Failed,
2000.0,
4000.0,
33.33,
66.67,
),
),
(
"test_case_column_sum_to_be_between",
"columnValuesSumToBeBetween",
"COLUMN",
(
TestCaseResult,
"122000.0",
None,
TestCaseStatus.Failed,
None,
None,
None,
None,
),
),
(
"test_case_column_values_to_be_between",
"columnValuesToBeBetween",
"COLUMN",
(
TestCaseResult,
"30.0",
None,
TestCaseStatus.Success,
6000.0,
0.0,
100.0,
0.0,
),
),
(
"test_case_column_values_to_be_not_null",
"columnValuesToBeNotNull",
"COLUMN",
(
TestCaseResult,
"2000",
None,
TestCaseStatus.Failed,
4000.0,
2000.0,
66.67,
33.33,
),
),
(
"test_case_column_values_to_be_unique",
"columnValuesToBeUnique",
"COLUMN",
(
TestCaseResult,
"4000",
"0",
TestCaseStatus.Failed,
0.0,
4000.0,
0.0,
100.0,
),
),
(
"test_case_column_values_to_match_regex",
"columnValuesToMatchRegex",
"COLUMN",
(
TestCaseResult,
"6000",
None,
TestCaseStatus.Success,
6000.0,
0.0,
100.0,
0.0,
),
),
(
"test_case_column_values_to_not_match_regex",
"columnValuesToNotMatchRegex",
"COLUMN",
(
TestCaseResult,
"0",
None,
TestCaseStatus.Success,
6000.0,
0.0,
100.0,
0.0,
),
),
(
"test_case_table_column_count_to_be_between",
"tableColumnCountToBeBetween",
"TABLE",
(
TestCaseResult,
"10",
None,
TestCaseStatus.Success,
None,
None,
None,
None,
),
),
(
"test_case_table_column_count_to_equal",
"tableColumnCountToEqual",
"TABLE",
(TestCaseResult, "10", None, TestCaseStatus.Failed, None, None, None, None),
),
(
"test_case_table_column_name_to_exist",
"tableColumnNameToExist",
"TABLE",
(TestCaseResult, "1", None, TestCaseStatus.Success, None, None, None, None),
),
(
"test_case_column_to_match_set",
"tableColumnToMatchSet",
"TABLE",
(TestCaseResult, "0", None, TestCaseStatus.Failed, None, None, None, None),
),
(
"test_case_column_to_match_set_ordered",
"tableColumnToMatchSet",
"TABLE",
(TestCaseResult, None, None, TestCaseStatus.Failed, None, None, None, None),
),
(
"test_case_table_custom_sql_query_failed_dl",
"tableCustomSQLQuery",
"TABLE",
(TestCaseResult, None, None, TestCaseStatus.Failed, None, None, None, None),
),
(
"test_case_table_custom_sql_query_success_dl",
"tableCustomSQLQuery",
"TABLE",
(
TestCaseResult,
None,
None,
TestCaseStatus.Success,
None,
None,
None,
None,
),
),
(
"test_case_table_row_count_to_be_between",
"tableRowCountToBeBetween",
"TABLE",
(
TestCaseResult,
"6000",
None,
TestCaseStatus.Failed,
None,
None,
None,
None,
),
),
(
"test_case_table_row_count_to_be_equal",
"tableRowCountToEqual",
"TABLE",
(
TestCaseResult,
"6000",
None,
TestCaseStatus.Failed,
None,
None,
None,
None,
),
),
(
"test_case_table_row_inserted_count_to_be_between",
"tableRowInsertedCountToBeBetween",
"TABLE",
(
TestCaseResult,
"2000",
None,
TestCaseStatus.Success,
None,
None,
None,
None,
),
),
(
"test_case_column_values_to_be_at_expected_location",
"columnValuesToBeAtExpectedLocation",
"COLUMN",
(
TestCaseResult,
"6000",
"0",
TestCaseStatus.Success,
None,
None,
None,
None,
),
),
],
)
def test_suite_validation_datalake(
test_case_name,
test_case_type,
test_type,
expected,
request,
):
"""Generic test runner for test validations"""
test_case = request.getfixturevalue(test_case_name)
(
type_,
val_1,
val_2,
status,
passed_rows,
failed_rows,
passed_percentage,
failed_percentage,
) = expected
test_handler_obj = import_test_case_class(
test_type,
"pandas",
test_case_type,
)
test_handler = test_handler_obj(
[DATALAKE_DATA_FRAME(1_000), DATALAKE_DATA_FRAME(1_000)],
test_case=test_case,
execution_date=EXECUTION_DATE.timestamp(),
)
res = test_handler.run_validation()
assert isinstance(res, type_)
if val_1:
assert res.testResultValue[0].value == val_1
if val_2:
assert res.testResultValue[1].value == val_2
if passed_rows:
assert res.passedRows == passed_rows
if failed_rows:
assert res.failedRows == failed_rows
if passed_percentage:
assert round(res.passedRowsPercentage, 2) == passed_percentage
if failed_percentage:
assert round(res.failedRowsPercentage, 2) == failed_percentage
assert res.testCaseStatus == status
Reference in New Issue View Git Blame Copy Permalink