mirror of
https://github.com/open-metadata/OpenMetadata.git
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153 lines
5.4 KiB
Python
153 lines
5.4 KiB
Python
# Copyright 2025 Collate
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# Licensed under the Collate Community License, Version 1.0 (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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# https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
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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 flink using the topology
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"""
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from unittest import TestCase
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from unittest.mock import patch
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from metadata.generated.schema.api.data.createPipeline import CreatePipelineRequest
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from metadata.generated.schema.entity.services.pipelineService import (
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PipelineConnection,
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PipelineService,
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PipelineServiceType,
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)
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from metadata.generated.schema.metadataIngestion.workflow import (
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OpenMetadataWorkflowConfig,
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)
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from metadata.generated.schema.type.basic import (
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EntityName,
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FullyQualifiedEntityName,
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SourceUrl,
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)
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from metadata.ingestion.source.pipeline.flink.metadata import FlinkSource
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from metadata.ingestion.source.pipeline.flink.models import FlinkPipeline
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mock_flink_config = {
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"source": {
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"type": "flink",
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"serviceName": "flink_test",
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"serviceConnection": {
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"config": {"type": "Flink", "hostPort": "http://127.0.0.1:8081"}
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},
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"sourceConfig": {"config": {"type": "PipelineMetadata"}},
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},
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"sink": {"type": "metadata-rest", "config": {}},
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"workflowConfig": {
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"openMetadataServerConfig": {
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"hostPort": "http://localhost:8585/api",
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"authProvider": "openmetadata",
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"securityConfig": {
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"jwtToken": "eyJraWQiOiJHYjM4OWEtOWY3Ni1nZGpzLWE5MmotMDI0MmJrOTQzNTYiLCJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJzdWIiOiJhZG1pbiIsImlzQm90IjpmYWxzZSwiaXNzIjoib3Blbi1tZXRhZGF0YS5vcmciLCJpYXQiOjE2NjM5Mzg0NjIsImVtYWlsIjoiYWRtaW5Ab3Blbm1ldGFkYXRhLm9yZyJ9.tS8um_5DKu7HgzGBzS1VTA5uUjKWOCU0B_j08WXBiEC0mr0zNREkqVfwFDD-d24HlNEbrqioLsBuFRiwIWKc1m_ZlVQbG7P36RUxhuv2vbSp80FKyNM-Tj93FDzq91jsyNmsQhyNv_fNr3TXfzzSPjHt8Go0FMMP66weoKMgW2PbXlhVKwEuXUHyakLLzewm9UMeQaEiRzhiTMU3UkLXcKbYEJJvfNFcLwSl9W8JCO_l0Yj3ud-qt_nQYEZwqW6u5nfdQllN133iikV4fM5QZsMCnm8Rq1mvLR0y9bmJiD7fwM1tmJ791TUWqmKaTnP49U493VanKpUAfzIiOiIbhg"
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},
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}
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},
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}
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MOCK_PIPELINE_SERVICE = PipelineService(
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id="85811038-099a-11ed-861d-0242ac120002",
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name="flink_test",
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fullyQualifiedName=FullyQualifiedEntityName("flink_test"),
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connection=PipelineConnection(),
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serviceType=PipelineServiceType.Flink,
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)
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MOCK_PIPELINE = FlinkPipeline(
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jid="2aaa012e-099a-11ed-861d-0242ac120002",
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name="alphabet",
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state="Completed",
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start_time=1718948457617,
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end_time=1718948457663,
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)
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MOCK_JOB = {
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"jid": "14f093794bf421e732aa6750d15ce5a6",
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"name": "WordCount",
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"start-time": 1718926965658,
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"end-time": 1718926965903,
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"duration": 245,
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"state": "FINISHED",
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"last-modification": 1718926965903,
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"tasks": {
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"running": 0,
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"canceling": 0,
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"canceled": 0,
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"total": 2,
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"created": 0,
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"scheduled": 0,
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"deploying": 0,
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"reconciling": 0,
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"finished": 2,
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"initializing": 0,
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"failed": 0,
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},
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}
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EXPECTED_PIPELINE_NAME = "alphabet"
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EXPECTED_PIPELINE = [
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CreatePipelineRequest(
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name=EntityName(root="alphabet"),
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displayName=None,
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description=None,
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dataProducts=None,
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sourceUrl=SourceUrl(
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root="<MagicMock name='get_connection().config.hostPort' id='4883082864'>/#/job/running/None/overview"
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),
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concurrency=None,
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pipelineLocation=None,
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startDate=None,
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tasks=[],
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tags=None,
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owners=None,
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service=FullyQualifiedEntityName(root="flink_test"),
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extension=None,
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scheduleInterval=None,
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domain=None,
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lifeCycle=None,
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sourceHash=None,
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)
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]
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class FlinkUnitTest(TestCase):
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@patch(
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"metadata.ingestion.source.pipeline.pipeline_service.PipelineServiceSource.test_connection"
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)
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@patch("metadata.ingestion.source.pipeline.flink.connection.get_connection")
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def __init__(self, methodName, flink_client, test_connection) -> None:
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super().__init__(methodName)
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test_connection.return_value = False
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config = OpenMetadataWorkflowConfig.model_validate(mock_flink_config)
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self.flink = FlinkSource.create(
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mock_flink_config["source"],
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config.workflowConfig.openMetadataServerConfig,
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)
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self.flink.context.get().__dict__["pipeline"] = MOCK_PIPELINE.name
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self.flink.context.get().__dict__[
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"pipeline_service"
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] = MOCK_PIPELINE_SERVICE.name.root
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self.client = flink_client.return_value
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def test_pipeline_name(self):
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assert self.flink.get_pipeline_name(MOCK_PIPELINE) == EXPECTED_PIPELINE_NAME
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def test_pipelines(self):
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pipelines_list = []
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results = self.flink.yield_pipeline(MOCK_PIPELINE)
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for result in results:
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pipelines_list.append(result.right)
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for _, (expected, original) in enumerate(
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zip(EXPECTED_PIPELINE, pipelines_list)
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):
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expected.sourceUrl = original.sourceUrl
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self.assertEqual(expected, original)
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