import sys from typing import List import pytest from metadata.generated.schema.entity.services.databaseService import DatabaseService from metadata.generated.schema.entity.services.ingestionPipelines.status import ( StackTraceError, ) from metadata.generated.schema.metadataIngestion.testSuitePipeline import ( TestSuiteConfigType, TestSuitePipeline, ) from metadata.generated.schema.metadataIngestion.workflow import ( LogLevels, OpenMetadataWorkflowConfig, Processor, Sink, Source, SourceConfig, WorkflowConfig, ) from metadata.generated.schema.tests.basic import TestCaseStatus from metadata.generated.schema.tests.testCase import TestCase from metadata.generated.schema.tests.testSuite import TestSuite from metadata.generated.schema.type.basic import ComponentConfig from metadata.ingestion.ometa.ometa_api import OpenMetadata from metadata.workflow.data_quality import TestSuiteWorkflow if not sys.version_info >= (3, 9): pytest.skip("requires python 3.9+", allow_module_level=True) @pytest.fixture(scope="module") def run_data_quality_workflow( ingest_metadata, db_service: DatabaseService, metadata: OpenMetadata ): workflow_config = OpenMetadataWorkflowConfig( source=Source( type=TestSuiteConfigType.TestSuite.value, serviceName="MyTestSuite", sourceConfig=SourceConfig( config=TestSuitePipeline( type=TestSuiteConfigType.TestSuite, entityFullyQualifiedName=f"{db_service.fullyQualifiedName.root}.dvdrental.public.customer", ) ), serviceConnection=db_service.connection, ), processor=Processor( type="orm-test-runner", config=ComponentConfig( { "testCases": [ { "name": "first_name_includes_tom_and_jerry_wo_enum", "testDefinitionName": "columnValuesToBeInSet", "columnName": "first_name", "parameterValues": [ {"name": "allowedValues", "value": "['Tom', 'Jerry']"} ], }, { "name": "first_name_includes_tom_and_jerry", "testDefinitionName": "columnValuesToBeInSet", "columnName": "first_name", "parameterValues": [ {"name": "allowedValues", "value": "['Tom', 'Jerry']"}, {"name": "matchEnum", "value": ""}, ], }, { "name": "first_name_is_tom_or_jerry", "testDefinitionName": "columnValuesToBeInSet", "columnName": "first_name", "parameterValues": [ {"name": "allowedValues", "value": "['Tom', 'Jerry']"}, {"name": "matchEnum", "value": "True"}, ], }, ], } ), ), sink=Sink( type="metadata-rest", config={}, ), workflowConfig=WorkflowConfig( loggerLevel=LogLevels.DEBUG, openMetadataServerConfig=metadata.config ), ) test_suite_procesor = TestSuiteWorkflow.create(workflow_config) test_suite_procesor.execute() test_suite_procesor.raise_from_status() yield test_suite: TestSuite = metadata.get_by_name( TestSuite, "MyTestSuite", nullable=True ) if test_suite: metadata.delete(TestSuite, test_suite.id, recursive=True, hard_delete=True) @pytest.mark.parametrize( "test_case_name,expected_status", [ ("first_name_includes_tom_and_jerry_wo_enum", TestCaseStatus.Success), ("first_name_includes_tom_and_jerry", TestCaseStatus.Success), ("first_name_is_tom_or_jerry", TestCaseStatus.Failed), ], ) def test_data_quality( run_data_quality_workflow, metadata: OpenMetadata, test_case_name, expected_status ): test_cases: List[TestCase] = metadata.list_entities( TestCase, fields=["*"], skip_on_failure=True ).entities test_case: TestCase = next( (t for t in test_cases if t.name.root == test_case_name), None ) assert test_case is not None assert test_case.testCaseResult.testCaseStatus == expected_status def test_incompatible_column_type(ingest_metadata, metadata: OpenMetadata, db_service): workflow_config = { "source": { "type": "TestSuite", "serviceName": "MyTestSuite", "sourceConfig": { "config": { "type": "TestSuite", "entityFullyQualifiedName": f"{db_service.fullyQualifiedName.root}.dvdrental.public.customer", } }, "serviceConnection": db_service.connection.model_dump(), }, "processor": { "type": "orm-test-runner", "config": { "testCases": [ { "name": "incompatible_column_type", "testDefinitionName": "columnValueMaxToBeBetween", "columnName": "first_name", "parameterValues": [ {"name": "minValueForMaxInCol", "value": "0"}, {"name": "maxValueForMaxInCol", "value": "10"}, ], }, { "name": "compatible_test", "testDefinitionName": "columnValueMaxToBeBetween", "columnName": "customer_id", "parameterValues": [ {"name": "minValueForMaxInCol", "value": "0"}, {"name": "maxValueForMaxInCol", "value": "10"}, ], }, ] }, }, "sink": { "type": "metadata-rest", "config": {}, }, "workflowConfig": { "loggerLevel": "DEBUG", "openMetadataServerConfig": metadata.config.model_dump(), }, } test_suite_procesor = TestSuiteWorkflow.create(workflow_config) test_suite_procesor.execute() assert test_suite_procesor.steps[0].get_status().failures == [ StackTraceError( name="Incompatible Column for Test Case", error="Test case incompatible_column_type of type columnValueMaxToBeBetween is not compatible with column first_name of type VARCHAR", ) ], "Test case incompatible_column_type should fail" assert ( f"{db_service.fullyQualifiedName.root}.dvdrental.public.customer.customer_id.compatible_test" in test_suite_procesor.steps[1].get_status().records ), "Test case compatible_test should pass"