示例#1
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 def _get_location(task):
     try:
         if hasattr(task, 'file_path') and task.file_path:
             return get_location(task.file_path)
         else:
             return get_location(task.dag.fileloc)
     except Exception:
         return None
示例#2
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 def _get_location(task):
     from openlineage.airflow.utils import get_location
     try:
         if hasattr(task, 'file_path') and task.file_path:
             return get_location(task.file_path)
         else:
             return get_location(task.dag.fileloc)
     except Exception:
         return None
示例#3
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def test_bad_file_path(git_mock):
    log.debug("test_bad_file_path()")
    with pytest.raises(FileNotFoundError):
        # invalid file
        get_location("dags/missing-dag.py")
示例#4
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def test_dag_location(git_mock):
    assert ('https://github.com/OpenLineage/OpenLineage/blob/'
            'abcd1234/integration/airflow/tests/test_dags/'
            'test_dag.py' == get_location("tests/test_dags/test_dag.py"))
示例#5
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def test_openlineage_dag_adds_custom_facets(
        mock_get_or_create_openlineage_client,
        new_lineage_run_id,
        clear_db_airflow_dags,
):
    openlineage.airflow.dag.extractors.clear()
    openlineage.airflow.dag.extractor_mapper.extractors.pop('TestFixtureDummyOperator', None)

    dag = DAG(
        DAG_ID,
        schedule_interval='@daily',
        default_args=DAG_DEFAULT_ARGS,
        description=DAG_DESCRIPTION
    )
    # Mock the openlineage client method calls
    mock_openlineage_client = mock.Mock()
    mock_get_or_create_openlineage_client.return_value = mock_openlineage_client

    run_id = str(uuid.uuid4())
    job_id = f"{DAG_ID}.{TASK_ID_COMPLETED}"

    new_lineage_run_id.return_value = run_id

    # Add task that will be marked as completed
    task_will_complete = DummyOperator(
        task_id=TASK_ID_COMPLETED,
        dag=dag
    )
    completed_task_location = get_location(task_will_complete.dag.fileloc)

    # Start run
    dag.create_dagrun(
        run_id=DAG_RUN_ID,
        execution_date=DEFAULT_DATE,
        state=State.RUNNING)

    # Assert emit calls
    start_time = '2016-01-01T00:00:00.000000Z'
    end_time = '2016-01-02T00:00:00.000000Z'

    mock_openlineage_client.emit.assert_called_once_with(RunEvent(
            eventType=RunState.START,
            eventTime=mock.ANY,
            run=Run(run_id, {
                "nominalTime": NominalTimeRunFacet(start_time, end_time),
                "parentRun": ParentRunFacet.create(
                    runId=DAG_RUN_ID,
                    namespace=DAG_NAMESPACE,
                    name=job_id
                ),
                "airflow_runArgs": AirflowRunArgsRunFacet(False),
                "airflow_version": AirflowVersionRunFacet(
                    operator="airflow.operators.dummy_operator.DummyOperator",
                    taskInfo=mock.ANY,
                    airflowVersion=AIRFLOW_VERSION,
                    openlineageAirflowVersion=OPENLINEAGE_AIRFLOW_VERSION
                )
            }),
            job=Job("default", job_id, {
                "documentation": DocumentationJobFacet(DAG_DESCRIPTION),
                "sourceCodeLocation": SourceCodeLocationJobFacet("", completed_task_location)
            }),
            producer=PRODUCER,
            inputs=[],
            outputs=[]
    ))
示例#6
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def test_openlineage_dag_with_extract_on_complete(
        job_id_mapping,
        mock_get_or_create_openlineage_client,
        get_custom_facets,
        new_lineage_run_id,
        clear_db_airflow_dags,
        session=None):

    # --- test setup

    # Add the dummy extractor to the list for the task above
    openlineage.airflow.dag.extractors.clear()
    openlineage.airflow.dag.extractor_mapper.extractors[TestFixtureDummyOperator.__name__] = \
        TestFixtureDummyExtractorOnComplete

    dag_id = 'test_openlineage_dag_with_extractor_on_complete'
    dag = DAG(
        dag_id,
        schedule_interval='@daily',
        default_args=DAG_DEFAULT_ARGS,
        description=DAG_DESCRIPTION
    )

    dag_run_id = 'test_openlineage_dag_with_extractor_run_id'

    run_id = str(uuid.uuid4())
    job_id = f"{dag_id}.{TASK_ID_COMPLETED}"
    # Mock the openlineage client method calls
    mock_openlineage_client = mock.Mock()
    mock_get_or_create_openlineage_client.return_value = mock_openlineage_client
    get_custom_facets.return_value = {}
    new_lineage_run_id.return_value = run_id

    # Add task that will be marked as completed
    task_will_complete = TestFixtureDummyOperator(
        task_id=TASK_ID_COMPLETED,
        dag=dag
    )
    completed_task_location = get_location(task_will_complete.dag.fileloc)

    # Create DAG run and mark as running
    dagrun = dag.create_dagrun(
        run_id=dag_run_id,
        execution_date=DEFAULT_DATE,
        state=State.RUNNING)

    start_time = '2016-01-01T00:00:00.000000Z'
    end_time = '2016-01-02T00:00:00.000000Z'

    mock_openlineage_client.emit.assert_has_calls([
        mock.call(RunEvent(
            eventType=RunState.START,
            eventTime=mock.ANY,
            run=Run(run_id, {
                "nominalTime": NominalTimeRunFacet(start_time, end_time),
                "parentRun": ParentRunFacet.create(
                    runId=dag_run_id,
                    namespace=DAG_NAMESPACE,
                    name=job_id
                )
            }),
            job=Job("default",  job_id, {
                "documentation": DocumentationJobFacet(DAG_DESCRIPTION),
                "sourceCodeLocation": SourceCodeLocationJobFacet("", completed_task_location)
            }),
            producer=PRODUCER,
            inputs=[],
            outputs=[]
        ))
    ])

    mock_openlineage_client.reset_mock()

    # --- Pretend complete the task
    job_id_mapping.pop.return_value = run_id

    task_will_complete.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE)

    dag.handle_callback(dagrun, success=True, session=session)

    mock_openlineage_client.emit.assert_has_calls([
        mock.call(RunEvent(
            eventType=RunState.COMPLETE,
            eventTime=mock.ANY,
            run=Run(run_id),
            job=Job("default", job_id),
            producer=PRODUCER,
            inputs=[OpenLineageDataset(
                namespace='dummy://localhost:1234',
                name='schema.extract_on_complete_input1',
                facets={
                    'dataSource': DataSourceDatasetFacet(
                        name='dummy://localhost:1234',
                        uri='dummy://localhost:1234?query_tag=asdf'
                    ),
                    'schema': SchemaDatasetFacet(
                        fields=[
                            SchemaField(name='field1', type='text', description=''),
                            SchemaField(name='field2', type='text', description='')
                        ]
                    )
                })
            ],
            outputs=[OpenLineageDataset(
                namespace='dummy://localhost:1234',
                name='extract_on_complete_output1',
                facets={
                    'dataSource': DataSourceDatasetFacet(
                        name='dummy://localhost:1234',
                        uri='dummy://localhost:1234?query_tag=asdf'
                    )
                })
            ]
        ))
    ])
示例#7
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def test_openlineage_dag(
        job_id_mapping,
        mock_get_or_create_openlineage_client,
        get_custom_facets,
        new_lineage_run_id,
        clear_db_airflow_dags,
        session=None
):
    dag = DAG(
        DAG_ID,
        schedule_interval='@daily',
        default_args=DAG_DEFAULT_ARGS,
        description=DAG_DESCRIPTION
    )
    # (1) Mock the openlineage client method calls
    mock_ol_client = mock.Mock()
    mock_get_or_create_openlineage_client.return_value = mock_ol_client

    run_id_completed = str(uuid.uuid4())
    run_id_failed = str(uuid.uuid4())

    job_id_completed = f"{DAG_ID}.{TASK_ID_COMPLETED}"
    job_id_failed = f"{DAG_ID}.{TASK_ID_FAILED}"

    get_custom_facets.return_value = {}
    new_lineage_run_id.side_effect = [
        run_id_completed, run_id_failed, run_id_completed, run_id_failed
    ]

    # (2) Add task that will be marked as completed
    task_will_complete = DummyOperator(
        task_id=TASK_ID_COMPLETED,
        dag=dag
    )
    completed_task_location = get_location(task_will_complete.dag.fileloc)

    # (3) Add task that will be marked as failed
    task_will_fail = DummyOperator(
        task_id=TASK_ID_FAILED,
        dag=dag
    )
    failed_task_location = get_location(task_will_complete.dag.fileloc)

    # (4) Create DAG run and mark as running
    dagrun = dag.create_dagrun(
        run_id=DAG_RUN_ID,
        execution_date=DEFAULT_DATE,
        state=State.RUNNING)

    # Assert emit calls
    start_time = '2016-01-01T00:00:00.000000Z'
    end_time = '2016-01-02T00:00:00.000000Z'

    emit_calls = [
        mock.call(RunEvent(
            eventType=RunState.START,
            eventTime=mock.ANY,
            run=Run(run_id_completed, {
                "nominalTime": NominalTimeRunFacet(start_time, end_time),
                "parentRun": ParentRunFacet.create(
                    runId=DAG_RUN_ID,
                    namespace=DAG_NAMESPACE,
                    name=job_id_completed
                )
            }),
            job=Job("default", job_id_completed, {
                "documentation": DocumentationJobFacet(DAG_DESCRIPTION),
                "sourceCodeLocation": SourceCodeLocationJobFacet("", completed_task_location)
            }),
            producer=PRODUCER,
            inputs=[],
            outputs=[]
        )),
        mock.call(RunEvent(
            eventType=RunState.START,
            eventTime=mock.ANY,
            run=Run(run_id_failed, {
                "nominalTime": NominalTimeRunFacet(start_time, end_time),
                "parentRun": ParentRunFacet.create(
                    runId=DAG_RUN_ID,
                    namespace=DAG_NAMESPACE,
                    name=job_id_failed
                )
            }),
            job=Job("default", job_id_failed, {
                "documentation": DocumentationJobFacet(DAG_DESCRIPTION),
                "sourceCodeLocation": SourceCodeLocationJobFacet("", failed_task_location)
            }),
            producer=PRODUCER,
            inputs=[],
            outputs=[]
        ))
    ]
    log.info(
        f"{ [name for name, args, kwargs in mock_ol_client.mock_calls]}")
    mock_ol_client.emit.assert_has_calls(emit_calls)

    # (5) Start task that will be marked as completed
    task_will_complete.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE)

    # (6) Start task that will be marked as failed
    ti1 = TaskInstance(task=task_will_fail, execution_date=DEFAULT_DATE)
    ti1.state = State.FAILED
    session.add(ti1)
    session.commit()

    job_id_mapping.pop.side_effect = [run_id_completed, run_id_failed]

    dag.handle_callback(dagrun, success=False, session=session)

    emit_calls += [
        mock.call(RunEvent(
            eventType=RunState.COMPLETE,
            eventTime=mock.ANY,
            run=Run(run_id_completed),
            job=Job("default", job_id_completed),
            producer=PRODUCER,
            inputs=[],
            outputs=[]
        )),
        mock.call(RunEvent(
            eventType=RunState.FAIL,
            eventTime=mock.ANY,
            run=Run(run_id_failed),
            job=Job("default", job_id_failed),
            producer=PRODUCER,
            inputs=[],
            outputs=[]
        ))
    ]
    mock_ol_client.emit.assert_has_calls(emit_calls)
示例#8
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def test_get_location_no_file_path():
    assert get_location(None) is None
    assert get_location("") is None