mirror of
https://github.com/open-metadata/OpenMetadata.git
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118 lines
4.2 KiB
Python
118 lines
4.2 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 DBT with CLI
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"""
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from abc import abstractmethod
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from typing import List
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from unittest import TestCase
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import pytest
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from metadata.generated.schema.entity.data.table import Table
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from metadata.generated.schema.tests.testDefinition import TestDefinition, TestPlatform
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from metadata.ingestion.api.status import Status
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from .test_cli import CliBase
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class CliDBTBase(TestCase):
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class TestSuite(TestCase, CliBase):
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dbt_file_path: str
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# 1. deploy vanilla ingestion
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@pytest.mark.order(1)
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def test_connector_ingestion(self) -> None:
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# run ingest with dbt tables
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result = self.run_command(test_file_path=self.config_file_path)
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sink_status, source_status = self.retrieve_statuses(result)
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self.assert_for_vanilla_ingestion(source_status, sink_status)
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# 2. deploy dbt ingestion
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@pytest.mark.order(2)
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def test_dbt_ingestion(self) -> None:
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# run the dbt ingestion
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result = self.run_command(test_file_path=self.dbt_file_path)
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sink_status, source_status = self.retrieve_statuses(result)
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self.assert_for_dbt_ingestion(source_status, sink_status)
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# 3. run tests on dbt ingestion
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@pytest.mark.order(3)
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def test_entities(self) -> None:
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for table_fqn in self.fqn_dbt_tables():
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table: Table = self.openmetadata.get_by_name(
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entity=Table, fqn=table_fqn, fields=["*"]
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)
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data_model = table.dataModel
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self.assertTrue(len(data_model.columns) > 0)
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self.assertIsNotNone(data_model.rawSql)
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self.assertIsNotNone(data_model.sql)
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self.assertIsNotNone(data_model.upstream)
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self.assertIsNotNone(data_model.description)
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self.assertIsNotNone(table.description)
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self.assertIsNotNone(data_model.owners)
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self.assertIsNotNone(table.owners)
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self.assertTrue(len(data_model.tags) > 0)
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self.assertTrue(len(table.tags) > 0)
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# 4. run tests on dbt test cases and test results
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@pytest.mark.order(4)
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def test_dbt_test_cases(self) -> None:
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test_case_entity_list = self.openmetadata.list_entities(
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entity=TestDefinition,
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params={"testPlatform": TestPlatform.DBT.value},
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)
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self.assertTrue(len(test_case_entity_list.entities) == 26)
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# 5. test dbt lineage
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@pytest.mark.order(5)
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def test_lineage(self) -> None:
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for table_fqn in self.fqn_dbt_tables():
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lineage = self.retrieve_lineage(table_fqn)
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self.assertTrue(len(lineage["upstreamEdges"]) >= 4)
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@staticmethod
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def get_test_type() -> str:
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return "dbt"
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@staticmethod
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@abstractmethod
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def get_connector_name() -> str:
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raise NotImplementedError()
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@staticmethod
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@abstractmethod
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def expected_tables() -> int:
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raise NotImplementedError()
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@staticmethod
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@abstractmethod
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def expected_records() -> int:
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raise NotImplementedError()
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@staticmethod
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@abstractmethod
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def fqn_dbt_tables() -> List[str]:
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raise NotImplementedError()
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@abstractmethod
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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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raise NotImplementedError()
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@abstractmethod
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def assert_for_dbt_ingestion(
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self, source_status: Status, sink_status: Status
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) -> None:
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raise NotImplementedError()
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