wehub-resource-sync
bf2343b7e4
Integration Tests - MySQL + Elasticsearch / Detect Changes (push) Has been cancelled
Integration Tests - MySQL + Elasticsearch / integration-tests-mysql-elasticsearch (push) Has been cancelled
Integration Tests - PostgreSQL + Elasticsearch + Redis / Detect Changes (push) Has been cancelled
Integration Tests - PostgreSQL + Elasticsearch + Redis / integration-tests-postgres-elasticsearch-redis (push) Has been cancelled
Integration Tests - PostgreSQL + OpenSearch / Detect Changes (push) Has been cancelled
Integration Tests - PostgreSQL + OpenSearch / integration-tests-postgres-opensearch (push) Has been cancelled
Java Checkstyle / java-checkstyle (push) Has been cancelled
Maven Collate Tests / maven-collate-ci (push) Has been cancelled
OpenMetadata Service Unit Tests / openmetadata-service-unit-tests-status (push) Has been cancelled
Publish Package to Maven Central Repository / publish-maven-packages (push) Has been cancelled
OpenMetadata Service Unit Tests / Detect Changes (push) Has been cancelled
OpenMetadata Service Unit Tests / openmetadata-service-unit-tests (push) Has been cancelled
OpenMetadata Service Unit Tests / k8s_operator-unit-tests (push) Has been cancelled
235 lines
10 KiB
Python
235 lines
10 KiB
Python
# Copyright 2022 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 database connectors which extend from `CommonDbSourceService` with CLI
|
|
"""
|
|
|
|
import os
|
|
from abc import ABC, abstractmethod
|
|
from pathlib import Path
|
|
from typing import Optional
|
|
|
|
from sqlalchemy.engine import Engine
|
|
|
|
from metadata.config.common import load_config_file
|
|
from metadata.generated.schema.entity.services.databaseService import DatabaseService
|
|
from metadata.generated.schema.metadataIngestion.workflow import (
|
|
OpenMetadataWorkflowConfig,
|
|
)
|
|
from metadata.ingestion.api.status import Status
|
|
from metadata.workflow.metadata import MetadataWorkflow # noqa: TC001
|
|
|
|
from ..base.test_cli import PATH_TO_RESOURCES # noqa: TID252
|
|
from ..base.test_cli_db import CliDBBase # noqa: TID252
|
|
|
|
|
|
class CliCommonDB:
|
|
class TestSuite(CliDBBase.TestSuite, ABC):
|
|
engine: Engine
|
|
|
|
@classmethod
|
|
def setUpClass(cls) -> None:
|
|
connector = cls.get_connector_name()
|
|
workflow: MetadataWorkflow = cls.get_workflow(connector, cls.get_test_type())
|
|
cls.engine = workflow.source.engine
|
|
|
|
cls.openmetadata = workflow.source.metadata
|
|
cls.set_ingestion_bot_jwt_token()
|
|
|
|
cls.config_file_path = str(Path(PATH_TO_RESOURCES + f"/database/{connector}/{connector}.yaml"))
|
|
cls.test_file_path = str(Path(PATH_TO_RESOURCES + f"/database/{connector}/test.yaml"))
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
workflow = OpenMetadataWorkflowConfig.model_validate(load_config_file(Path(cls.config_file_path)))
|
|
db_service: DatabaseService = cls.openmetadata.get_by_name(DatabaseService, workflow.source.serviceName)
|
|
if db_service and os.getenv("E2E_CLEAN_DB", "false") == "true":
|
|
cls.openmetadata.delete(DatabaseService, db_service.id, hard_delete=True, recursive=True)
|
|
|
|
def tearDown(self) -> None:
|
|
self.engine.dispose()
|
|
|
|
def assert_for_vanilla_ingestion(self, source_status: Status, sink_status: Status) -> None:
|
|
self.assertEqual(len(source_status.failures), 0)
|
|
self.assertEqual(len(source_status.warnings), 0)
|
|
self.assertEqual(len(source_status.filtered), 0)
|
|
self.assertGreaterEqual(
|
|
(len(source_status.records) + len(source_status.updated_records)),
|
|
self.expected_tables(),
|
|
)
|
|
self.assertEqual(len(sink_status.failures), 0)
|
|
self.assertEqual(len(sink_status.warnings), 0)
|
|
self.assertGreater(
|
|
(len(sink_status.records) + len(sink_status.updated_records)),
|
|
self.expected_tables(),
|
|
)
|
|
|
|
def assert_for_table_with_profiler(self, source_status: Status, sink_status: Status):
|
|
self.assertEqual(len(source_status.failures), 0)
|
|
self.assertGreaterEqual(
|
|
(len(source_status.records) + len(source_status.updated_records)),
|
|
self.expected_profiled_tables(),
|
|
)
|
|
self.assertEqual(len(sink_status.failures), 0)
|
|
self.assertGreaterEqual(
|
|
(len(sink_status.records) + len(sink_status.updated_records)),
|
|
self.expected_profiled_tables(),
|
|
)
|
|
# Since we removed view lineage from metadata workflow as part
|
|
# of https://github.com/open-metadata/OpenMetadata/pull/18558
|
|
# we need to introduce Lineage E2E base and add view lineage check there.
|
|
|
|
def assert_for_test_lineage(self, source_status: Status, sink_status: Status):
|
|
self.assertEqual(len(source_status.failures), 0)
|
|
self.assertEqual(len(source_status.warnings), 0)
|
|
self.assertEqual(len(sink_status.failures), 0)
|
|
self.assertEqual(len(sink_status.warnings), 0)
|
|
self.assertGreaterEqual(len(sink_status.records), 0)
|
|
lineage_data = self.retrieve_lineage(self.fqn_created_table())
|
|
retrieved_view_column_lineage_count = len(
|
|
lineage_data["downstreamEdges"][0]["lineageDetails"]["columnsLineage"]
|
|
)
|
|
self.assertEqual(retrieved_view_column_lineage_count, self.view_column_lineage_count())
|
|
|
|
retrieved_lineage_node = lineage_data["nodes"][0]["fullyQualifiedName"]
|
|
self.assertEqual(retrieved_lineage_node, self.expected_lineage_node())
|
|
|
|
def assert_auto_classification_sample_data(self, source_status: Status, sink_status: Status):
|
|
self.assertEqual(len(source_status.failures), 0)
|
|
self.assertGreaterEqual(
|
|
(len(source_status.records) + len(source_status.updated_records)),
|
|
self.expected_profiled_tables(),
|
|
)
|
|
sample_data = self.retrieve_sample_data(self.fqn_created_table()).sampleData
|
|
self.assertEqual(len(sample_data.rows), self.expected_sample_size())
|
|
|
|
def assert_for_table_with_profiler_time_partition(self, source_status: Status, sink_status: Status):
|
|
self.assertEqual(len(source_status.failures), 0)
|
|
self.assertEqual(len(sink_status.failures), 0)
|
|
profile = self.retrieve_profile(self.fqn_created_table())
|
|
expected_profiler_time_partition_results = self.get_profiler_time_partition_results()
|
|
if expected_profiler_time_partition_results:
|
|
table_profile = profile.profile.model_dump()
|
|
for key in expected_profiler_time_partition_results["table_profile"]:
|
|
self.assertEqual(
|
|
table_profile[key],
|
|
expected_profiler_time_partition_results["table_profile"][key],
|
|
)
|
|
|
|
for column in profile.columns:
|
|
expected_column_profile = next(
|
|
(
|
|
profile.get(column.name.root)
|
|
for profile in expected_profiler_time_partition_results["column_profile"]
|
|
if profile.get(column.name.root)
|
|
),
|
|
None,
|
|
)
|
|
if expected_column_profile:
|
|
column_profile = column.profile.model_dump()
|
|
for key in expected_column_profile: # type: ignore
|
|
if key == "nonParametricSkew":
|
|
self.assertEqual(
|
|
column_profile[key].__round__(10),
|
|
expected_column_profile[key].__round__(10),
|
|
)
|
|
continue
|
|
self.assertEqual(column_profile[key], expected_column_profile[key])
|
|
|
|
def assert_for_delete_table_is_marked_as_deleted(self, source_status: Status, sink_status: Status):
|
|
self.assertEqual(self.retrieve_table(self.fqn_deleted_table()), None)
|
|
|
|
def assert_filtered_schemas_includes(self, source_status: Status, sink_status: Status):
|
|
self.assertEqual(len(source_status.failures), 0)
|
|
self.assertGreaterEqual(len(source_status.filtered), self.expected_filtered_schema_includes())
|
|
|
|
def assert_filtered_schemas_excludes(self, source_status: Status, sink_status: Status):
|
|
self.assertEqual(len(source_status.failures), 0)
|
|
self.assertGreaterEqual(len(source_status.filtered), self.expected_filtered_schema_excludes())
|
|
|
|
def assert_filtered_tables_includes(self, source_status: Status, sink_status: Status):
|
|
self.assertEqual(len(source_status.failures), 0)
|
|
self.assertGreaterEqual(len(source_status.filtered), self.expected_filtered_table_includes())
|
|
|
|
def assert_filtered_tables_excludes(self, source_status: Status, sink_status: Status):
|
|
self.assertEqual(len(source_status.failures), 0)
|
|
self.assertGreaterEqual(len(source_status.filtered), self.expected_filtered_table_excludes())
|
|
|
|
def assert_filtered_mix(self, source_status: Status, sink_status: Status):
|
|
self.assertEqual(len(source_status.failures), 0)
|
|
self.assertGreaterEqual(len(source_status.filtered), self.expected_filtered_mix())
|
|
|
|
@staticmethod
|
|
@abstractmethod
|
|
def expected_tables() -> int:
|
|
raise NotImplementedError()
|
|
|
|
@abstractmethod
|
|
def expected_sample_size(self) -> int:
|
|
raise NotImplementedError()
|
|
|
|
@abstractmethod
|
|
def view_column_lineage_count(self) -> int:
|
|
raise NotImplementedError()
|
|
|
|
@abstractmethod
|
|
def expected_lineage_node(self) -> str:
|
|
raise NotImplementedError()
|
|
|
|
@staticmethod
|
|
@abstractmethod
|
|
def fqn_created_table() -> str:
|
|
raise NotImplementedError()
|
|
|
|
@staticmethod
|
|
def _fqn_deleted_table() -> Optional[str]: # noqa: UP045
|
|
return None
|
|
|
|
@staticmethod
|
|
def _expected_profiled_tables() -> int:
|
|
return None
|
|
|
|
def fqn_deleted_table(self) -> str:
|
|
if self._fqn_deleted_table() is None:
|
|
return self.fqn_created_table()
|
|
return self._fqn_deleted_table() # type: ignore
|
|
|
|
def expected_profiled_tables(self) -> int:
|
|
if self._expected_profiled_tables() is None:
|
|
return self.expected_tables()
|
|
return self._expected_profiled_tables()
|
|
|
|
@staticmethod
|
|
@abstractmethod
|
|
def expected_filtered_schema_includes() -> int:
|
|
raise NotImplementedError()
|
|
|
|
@staticmethod
|
|
@abstractmethod
|
|
def expected_filtered_schema_excludes() -> int:
|
|
raise NotImplementedError()
|
|
|
|
@staticmethod
|
|
@abstractmethod
|
|
def expected_filtered_table_includes() -> int:
|
|
raise NotImplementedError()
|
|
|
|
@staticmethod
|
|
@abstractmethod
|
|
def expected_filtered_table_excludes() -> int:
|
|
raise NotImplementedError()
|
|
|
|
@staticmethod
|
|
@abstractmethod
|
|
def expected_filtered_mix() -> int:
|
|
raise NotImplementedError()
|