# Copyright 2025 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 Dagster using the topology """ import json from pathlib import Path from unittest import TestCase from unittest.mock import patch from metadata.generated.schema.api.data.createPipeline import CreatePipelineRequest from metadata.generated.schema.entity.data.pipeline import ( Pipeline, PipelineStatus, StatusType, Task, TaskStatus, ) from metadata.generated.schema.entity.services.pipelineService import ( PipelineConnection, PipelineService, PipelineServiceType, ) from metadata.generated.schema.metadataIngestion.workflow import ( OpenMetadataWorkflowConfig, ) from metadata.generated.schema.type.basic import FullyQualifiedEntityName, SourceUrl from metadata.generated.schema.type.entityReference import EntityReference from metadata.generated.schema.type.tagLabel import ( LabelType, State, TagLabel, TagSource, ) from metadata.ingestion.models.pipeline_status import OMetaPipelineStatus from metadata.ingestion.source.pipeline.dagster.metadata import DagsterSource from metadata.ingestion.source.pipeline.dagster.models import GraphOrError mock_file_path = ( Path(__file__).parent.parent.parent / "resources/datasets/dagster_dataset.json" ) with open(mock_file_path, encoding="UTF-8") as file: mock_data: dict = json.load(file) mock_dagster_config = { "source": { "type": "dagster", "serviceName": "dagster_source", "serviceConnection": { "config": {"type": "Dagster", "host": "http://lolhost:3000"} }, "sourceConfig": {"config": {"type": "PipelineMetadata"}}, }, "sink": {"type": "metadata-rest", "config": {}}, "workflowConfig": { "openMetadataServerConfig": { "hostPort": "http://localhost:8585/api", "authProvider": "openmetadata", "securityConfig": {"jwtToken": "jnsdjonfonsodifnoisdnfoinsdonfonsd"}, } }, } EXPECTED_DAGSTER_DETAILS = mock_data["data"]["graphOrError"] EXPECTED_CREATED_PIPELINES = [ CreatePipelineRequest( name="graph5164c131c3524a271e7ecce49766d50a479b5ff4", displayName="story_recommender_job", description=None, concurrency=None, pipelineLocation=None, startDate=None, tasks=[ Task( name="s3__recommender__recommender_model", displayName="s3__recommender__recommender_model", fullyQualifiedName=None, description=None, downstreamTasks=["s3__recommender__user_story_matrix"], taskType=None, taskSQL=None, startDate=None, endDate=None, tags=[], sourceUrl=SourceUrl( "http://lolhost:3000/locations/project_fully_featured/jobs/story_recommender_job/s3__recommender__recommender_model" ), ), Task( name="s3__recommender__user_story_matrix", displayName="s3__recommender__user_story_matrix", fullyQualifiedName=None, description=None, downstreamTasks=["snowflake__recommender__comment_stories"], taskType=None, taskSQL=None, startDate=None, endDate=None, tags=[], sourceUrl=SourceUrl( "http://lolhost:3000/locations/project_fully_featured/jobs/story_recommender_job/s3__recommender__user_story_matrix" ), ), Task( name="snowflake__recommender__comment_stories", displayName="snowflake__recommender__comment_stories", fullyQualifiedName=None, description=None, downstreamTasks=None, taskType=None, taskSQL=None, startDate=None, endDate=None, tags=[], sourceUrl=SourceUrl( "http://lolhost:3000/locations/project_fully_featured/jobs/story_recommender_job/snowflake__recommender__comment_stories" ), ), Task( name="snowflake__recommender__component_top_stories", displayName="snowflake__recommender__component_top_stories", fullyQualifiedName=None, description=None, downstreamTasks=[ "s3__recommender__recommender_model", "s3__recommender__user_story_matrix", ], taskType=None, taskSQL=None, startDate=None, endDate=None, tags=[], sourceUrl=SourceUrl( "http://lolhost:3000/locations/project_fully_featured/jobs/story_recommender_job/snowflake__recommender__component_top_stories" ), ), Task( name="snowflake__recommender__user_top_recommended_stories", displayName="snowflake__recommender__user_top_recommended_stories", fullyQualifiedName=None, description=None, downstreamTasks=[ "s3__recommender__recommender_model", "s3__recommender__user_story_matrix", ], taskType=None, taskSQL=None, startDate=None, endDate=None, tags=[], sourceUrl=SourceUrl( "http://lolhost:3000/locations/project_fully_featured/jobs/story_recommender_job/snowflake__recommender__user_top_recommended_stories" ), ), ], tags=[ TagLabel( tagFQN="DagsterTags.hacker_new_repository", description=None, source="Classification", labelType="Automated", state="Suggested", href=None, ) ], owners=None, service="dagster_source_test", extension=None, sourceUrl=SourceUrl( "http://lolhost:3000/locations/project_fully_featured/jobs/story_recommender_job/" ), ), ] MOCK_CONNECTION_URI_PATH = ( "/workspace/__repository__do_it_all_with_default_config" "@cereal.py/jobs/do_it_all_with_default_config/" ) MOCK_LOG_URL = ( "http://localhost:8080/instance/runs/a6ebb16c-505f-446d-8642-171c3320ccef" ) EXPTECTED_PIPELINE_NAME = ["story_recommender_job"] EXPECTED_PIPELINE_STATUS = [ OMetaPipelineStatus( pipeline_fqn="dagster_source.a10f6d82-4fc6-4c90-ba04-bb773c8fbb0f", pipeline_status=PipelineStatus( executionStatus=StatusType.Pending.value, taskStatus=[ TaskStatus( name="a10f6d82-4fc6-4c90-ba04-bb773c8fbb0f", executionStatus=StatusType.Pending.value, startTime=1659616627124, endTime=1659616635858, logLink=f"{MOCK_LOG_URL}/status", ) ], timestamp=1659616635858, ), ), OMetaPipelineStatus( pipeline_fqn="dagster_source.a10f6d82-4fc6-4c90-ba04-bb773c8fbb0f", pipeline_status=PipelineStatus( executionStatus=StatusType.Successful.value, taskStatus=[ TaskStatus( name="a10f6d82-4fc6-4c90-ba04-bb773c8fbb0f", executionStatus=StatusType.Successful.value, startTime=1655393914000, endTime=1655394054000, logLink=f"{MOCK_LOG_URL}/status", ) ], timestamp=1655393914000, ), ), ] MOCK_PIPELINE_SERVICE = PipelineService( id="86ff3c40-7c51-4ff5-9727-738cead28d9a", name="dagster_source_test", fullyQualifiedName=FullyQualifiedEntityName("dagster_source_test"), connection=PipelineConnection(), serviceType=PipelineServiceType.Dagster, ) MOCK_PIPELINE = Pipeline( id="a58b1856-729c-493b-bc87-6d2269b43ec0", name="do_it_all_with_default_config", fullyQualifiedName="dagster_source.do_it_all_with_default_config", displayName="do_it_all_with_default_config", description="", sourceUrl=MOCK_CONNECTION_URI_PATH, tasks=[ Task( name="a58b1856-729c-493b-bc87-6d2269b43ec0", displayName="do_it_all_with_default_config", ) ], service=EntityReference( id="85811038-099a-11ed-861d-0242ac120002", type="pipelineService" ), ) class DagsterUnitTest(TestCase): """ Implements the necessary methods to extract Dagster Pipeline Unit Test """ @patch( "metadata.ingestion.source.pipeline.pipeline_service.PipelineServiceSource.test_connection" ) @patch("dagster_graphql.DagsterGraphQLClient") # @patch("metadata.ingestion.source.pipeline.dagster.get_tag_labels") def __init__(self, methodName, graphql_client, test_connection) -> None: super().__init__(methodName) test_connection.return_value = False graphql_client.return_value = False config = OpenMetadataWorkflowConfig.model_validate(mock_dagster_config) self.dagster = DagsterSource.create( mock_dagster_config["source"], config.workflowConfig.openMetadataServerConfig, ) self.dagster.context.get().__dict__["pipeline"] = MOCK_PIPELINE.name.root self.dagster.context.get().__dict__[ "pipeline_service" ] = MOCK_PIPELINE_SERVICE.name.root self.dagster.context.get().__dict__["repository_name"] = "hacker_new_repository" self.dagster.context.get().__dict__[ "repository_location" ] = "project_fully_featured" def test_pipeline_name(self): assert ( self.dagster.get_pipeline_name(GraphOrError(**EXPECTED_DAGSTER_DETAILS)) in EXPTECTED_PIPELINE_NAME ) @patch("metadata.ingestion.source.pipeline.dagster.client.DagsterClient.get_jobs") @patch("metadata.utils.tag_utils.get_tag_label") def test_yield_pipeline(self, get_tag_label, get_jobs): results = self.dagster.yield_pipeline(GraphOrError(**EXPECTED_DAGSTER_DETAILS)) get_jobs.return_value = GraphOrError(**EXPECTED_DAGSTER_DETAILS) get_tag_label.return_value = TagLabel( tagFQN="DagsterTags.hacker_new_repository", labelType=LabelType.Automated.value, state=State.Suggested.value, source=TagSource.Classification.value, ) pipelines_list = [] for result in results: pipelines_list.append(result.right) for _, (expected, original) in enumerate( zip(EXPECTED_CREATED_PIPELINES, pipelines_list) ): self.assertEqual(expected, original)