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151 lines
5.7 KiB
Python
151 lines
5.7 KiB
Python
# Copyright 2022 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 dashboard connectors with CLI
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"""
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from abc import ABC, abstractmethod
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from pathlib import Path
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from metadata.ingestion.api.status import Status
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from metadata.workflow.metadata import MetadataWorkflow
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from ..base.test_cli import PATH_TO_RESOURCES
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from ..base.test_cli_dashboard import CliDashboardBase
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class CliCommonDashboard:
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"""
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CLI Dashboard Common class
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"""
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class TestSuite(
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CliDashboardBase.TestSuite, ABC
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): # pylint: disable=too-many-public-methods
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"""
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TestSuite class to define test structure
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"""
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@classmethod
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def setUpClass(cls) -> None:
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connector = cls.get_connector_name()
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workflow: MetadataWorkflow = cls.get_workflow(
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connector, cls.get_test_type()
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)
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cls.openmetadata = workflow.source.metadata
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cls.config_file_path = str(
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Path(PATH_TO_RESOURCES + f"/dashboard/{connector}/{connector}.yaml")
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)
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cls.test_file_path = str(
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Path(PATH_TO_RESOURCES + f"/dashboard/{connector}/test.yaml")
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)
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def assert_not_including(self, source_status: Status, sink_status: Status):
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"""
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Here we can have a diff of 1 element due to the service
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being ingested in the first round.
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This will not happen on subsequent tests or executions
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"""
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self.assertTrue(len(source_status.failures) == 0)
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self.assertTrue(len(source_status.warnings) == 0)
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self.assertTrue(len(source_status.filtered) == 0)
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# We can have a diff of 1 element if we are counting the service, which is only marked as ingested in the
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# first go
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self.assertTrue(
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self.expected_dashboards_and_charts() + self.expected_lineage()
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<= (len(source_status.records) + len(source_status.updated_records))
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)
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self.assertTrue(len(sink_status.failures) == 0)
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self.assertTrue(len(sink_status.warnings) == 0)
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self.assertTrue(
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self.expected_dashboards_and_charts() + self.expected_lineage()
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<= (len(sink_status.records) + len(sink_status.updated_records))
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)
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def assert_for_vanilla_ingestion(
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self, source_status: Status, sink_status: Status
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) -> None:
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self.assertTrue(len(source_status.failures) == 0)
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self.assertTrue(len(source_status.warnings) == 0)
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self.assertTrue(len(source_status.filtered) == 0)
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self.assertEqual(
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(len(source_status.records) + len(source_status.updated_records)),
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self.expected_dashboards_and_charts_after_patch()
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+ self.expected_tags()
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+ self.expected_lineage()
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+ self.expected_datamodels()
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+ self.expected_datamodel_lineage(),
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)
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self.assertTrue(len(sink_status.failures) == 0)
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self.assertTrue(len(sink_status.warnings) == 0)
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self.assertEqual(
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(len(sink_status.records) + len(sink_status.updated_records)),
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self.expected_dashboards_and_charts_after_patch()
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+ self.expected_tags()
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+ self.expected_lineage()
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+ self.expected_datamodels()
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+ self.expected_datamodel_lineage(),
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)
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def assert_filtered_mix(self, source_status: Status, sink_status: Status):
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self.assertTrue(len(source_status.failures) == 0)
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self.assertTrue(len(source_status.warnings) == 0)
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self.assertEqual(self.expected_filtered_mix(), len(source_status.filtered))
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self.assertTrue(len(sink_status.failures) == 0)
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self.assertTrue(len(sink_status.warnings) == 0)
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self.assertEqual(
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self.expected_filtered_sink_mix(),
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(len(sink_status.records) + len(sink_status.updated_records)),
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)
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@staticmethod
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@abstractmethod
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def expected_dashboards_and_charts() -> int:
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raise NotImplementedError()
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@staticmethod
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@abstractmethod
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def expected_tags() -> int:
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raise NotImplementedError()
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@staticmethod
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@abstractmethod
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def expected_lineage() -> int:
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raise NotImplementedError()
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@staticmethod
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@abstractmethod
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def expected_datamodels() -> int:
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raise NotImplementedError()
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@staticmethod
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@abstractmethod
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def expected_datamodel_lineage() -> int:
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raise NotImplementedError()
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@staticmethod
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@abstractmethod
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def expected_filtered_mix() -> int:
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raise NotImplementedError()
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@staticmethod
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@abstractmethod
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def expected_filtered_sink_mix() -> int:
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raise NotImplementedError()
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# We need to update the counts in the subsequent run of ingestion for same service
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# Since we only patch the entities if we find any change at the source
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@staticmethod
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@abstractmethod
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def expected_dashboards_and_charts_after_patch() -> int:
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raise NotImplementedError()
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