Beispiel #1
0
def dagster_event_from_dict(event_dict, pipeline_name):
    check.dict_param(event_dict, 'event_dict', key_type=str)
    check.str_param(pipeline_name, 'pipeline_name')

    materialization = event_dict.get('intermediateMaterialization') or {}

    # Get event_type
    event_type = _handled_events().get(event_dict['__typename'])
    if not event_type:
        raise Exception('unhandled event type %s' % event_dict['__typename'])

    # Get event_specific_data
    event_specific_data = None
    if event_type == DagsterEventType.STEP_OUTPUT:
        event_specific_data = StepOutputData(
            step_output_handle=StepOutputHandle(event_dict['step']['key'],
                                                event_dict['outputName']),
            value_repr=event_dict['valueRepr'],
            intermediate_materialization=Materialization(
                path=materialization.get('path'),
                description=materialization.get('description')),
        )

    elif event_type == DagsterEventType.STEP_SUCCESS:
        event_specific_data = StepSuccessData(0.0)

    elif event_type == DagsterEventType.STEP_MATERIALIZATION:
        event_specific_data = StepMaterializationData(
            materialization=Materialization(path=materialization.get('path'),
                                            description=materialization.get(
                                                'description')))
    elif event_type == DagsterEventType.STEP_EXPECTATION_RESULT:
        result_metadata = event_dict['expectationResult'][
            'resultMetadataJsonString']
        expectation_result = ExpectationResult(
            event_dict['expectationResult']['success'],
            event_dict['expectationResult']['name'],
            event_dict['expectationResult']['message'],
            json.loads(result_metadata) if result_metadata else None,
        )
        event_specific_data = StepExpectationResultData(expectation_result)

    elif event_type == DagsterEventType.STEP_FAILURE:
        error_info = SerializableErrorInfo(event_dict['error']['message'],
                                           stack=None,
                                           cls_name=None)
        event_specific_data = StepFailureData(error_info)

    return DagsterEvent(
        event_type_value=event_type.value,
        pipeline_name=pipeline_name,
        step_key=event_dict['step']['key'],
        solid_handle=SolidHandle(event_dict['step']['solidHandleID'], None,
                                 None),
        step_kind_value=event_dict['step']['kind'],
        logging_tags=None,
        event_specific_data=event_specific_data,
    )
Beispiel #2
0
def _materialization_event_record(run_id, asset_key):
    return DagsterEventRecord(
        None,
        "",
        "debug",
        "",
        run_id,
        time.time() - 25,
        step_key="my_step_key",
        pipeline_name="my_pipeline",
        dagster_event=DagsterEvent(
            DagsterEventType.STEP_MATERIALIZATION.value,
            "my_pipeline",
            step_key="my_step_key",
            event_specific_data=StepMaterializationData(AssetMaterialization(asset_key=asset_key)),
        ),
    )
Beispiel #3
0
def _stats_records(run_id):
    now = time.time()
    return [
        _event_record(run_id, 'A', now - 325, DagsterEventType.STEP_START),
        _event_record(
            run_id,
            'A',
            now - 225,
            DagsterEventType.STEP_SUCCESS,
            StepSuccessData(duration_ms=100000.0),
        ),
        _event_record(run_id, 'B', now - 225, DagsterEventType.STEP_START),
        _event_record(
            run_id,
            'B',
            now - 175,
            DagsterEventType.STEP_FAILURE,
            StepFailureData(error=None, user_failure_data=None),
        ),
        _event_record(run_id, 'C', now - 175, DagsterEventType.STEP_START),
        _event_record(run_id, 'C', now - 150, DagsterEventType.STEP_SKIPPED),
        _event_record(run_id, 'D', now - 150, DagsterEventType.STEP_START),
        _event_record(
            run_id,
            'D',
            now - 125,
            DagsterEventType.STEP_MATERIALIZATION,
            StepMaterializationData(Materialization(label='mat 1')),
        ),
        _event_record(
            run_id,
            'D',
            now - 100,
            DagsterEventType.STEP_EXPECTATION_RESULT,
            StepExpectationResultData(ExpectationResult(success=True, label='exp 1')),
        ),
        _event_record(
            run_id,
            'D',
            now - 75,
            DagsterEventType.STEP_MATERIALIZATION,
            StepMaterializationData(Materialization(label='mat 2')),
        ),
        _event_record(
            run_id,
            'D',
            now - 50,
            DagsterEventType.STEP_EXPECTATION_RESULT,
            StepExpectationResultData(ExpectationResult(success=False, label='exp 2')),
        ),
        _event_record(
            run_id,
            'D',
            now - 25,
            DagsterEventType.STEP_MATERIALIZATION,
            StepMaterializationData(Materialization(label='mat 3')),
        ),
        _event_record(
            run_id, 'D', now, DagsterEventType.STEP_SUCCESS, StepSuccessData(duration_ms=150000.0)
        ),
    ]
Beispiel #4
0
def dagster_event_from_dict(event_dict, pipeline_name):
    check.dict_param(event_dict, 'event_dict', key_type=str)
    check.str_param(pipeline_name, 'pipeline_name')

    # Get event_type
    event_type = HANDLED_EVENTS.get(event_dict['__typename'])
    if not event_type:
        raise Exception('unhandled event type %s' % event_dict['__typename'])

    # Get event_specific_data
    event_specific_data = None
    if event_type == DagsterEventType.STEP_OUTPUT:
        event_specific_data = StepOutputData(
            step_output_handle=StepOutputHandle(event_dict['step']['key'],
                                                event_dict['outputName']),
            type_check_data=TypeCheckData(
                success=event_dict['typeCheck']['success'],
                label=event_dict['typeCheck']['label'],
                description=event_dict.get('description'),
                metadata_entries=list(
                    event_metadata_entries(event_dict.get('metadataEntries'))
                    or []),
            ),
        )

    elif event_type == DagsterEventType.STEP_INPUT:
        event_specific_data = StepInputData(
            input_name=event_dict['inputName'],
            type_check_data=TypeCheckData(
                success=event_dict['typeCheck']['success'],
                label=event_dict['typeCheck']['label'],
                description=event_dict.get('description'),
                metadata_entries=list(
                    event_metadata_entries(event_dict.get('metadataEntries'))
                    or []),
            ),
        )
    elif event_type == DagsterEventType.STEP_SUCCESS:
        event_specific_data = StepSuccessData(0.0)

    elif event_type == DagsterEventType.STEP_UP_FOR_RETRY:
        event_specific_data = StepRetryData(
            error=error_from_data(event_dict['retryError']),
            seconds_to_wait=event_dict['secondsToWait'],
        )

    elif event_type == DagsterEventType.STEP_MATERIALIZATION:
        materialization = event_dict['materialization']
        event_specific_data = StepMaterializationData(
            materialization=materialization_from_data(materialization))
    elif event_type == DagsterEventType.STEP_EXPECTATION_RESULT:
        expectation_result = expectation_result_from_data(
            event_dict['expectationResult'])
        event_specific_data = StepExpectationResultData(expectation_result)

    elif event_type == DagsterEventType.STEP_FAILURE:
        event_specific_data = StepFailureData(
            error_from_data(event_dict['error']),
            UserFailureData(
                label=event_dict['failureMetadata']['label'],
                description=event_dict['failureMetadata']['description'],
                metadata_entries=list(
                    event_metadata_entries(event_dict.get('metadataEntries'))
                    or []),
            ) if event_dict.get('failureMetadata') else None,
        )

    elif event_type == DagsterEventType.ENGINE_EVENT:
        event_specific_data = EngineEventData(
            metadata_entries=list(
                event_metadata_entries(event_dict.get('metadataEntries'))),
            marker_start=event_dict.get('markerStart'),
            marker_end=event_dict.get('markerEnd'),
            error=error_from_data(event_dict['engineError'])
            if event_dict.get('engineError') else None,
        )

    # We should update the GraphQL response so that clients don't need to do this handle parsing.
    # See: https://github.com/dagster-io/dagster/issues/1559
    handle = None
    step_key = None
    step_kind_value = None
    if 'step' in event_dict and event_dict['step']:
        step_key = event_dict['step']['key']
        step_kind_value = event_dict['step']['kind']
        keys = event_dict['step']['solidHandleID'].split('.')
        while keys:
            handle = SolidHandle(keys.pop(0), parent=handle)

    return DagsterEvent(
        event_type_value=event_type.value,
        pipeline_name=pipeline_name,
        step_key=step_key,
        solid_handle=handle,
        step_kind_value=step_kind_value,
        logging_tags=None,
        event_specific_data=event_specific_data,
    )
Beispiel #5
0
def _stats_records(run_id):
    now = time.time()
    return [
        _event_record(run_id, "A", now - 325, DagsterEventType.STEP_START),
        _event_record(
            run_id,
            "A",
            now - 225,
            DagsterEventType.STEP_SUCCESS,
            StepSuccessData(duration_ms=100000.0),
        ),
        _event_record(run_id, "B", now - 225, DagsterEventType.STEP_START),
        _event_record(
            run_id,
            "B",
            now - 175,
            DagsterEventType.STEP_FAILURE,
            StepFailureData(error=None, user_failure_data=None),
        ),
        _event_record(run_id, "C", now - 175, DagsterEventType.STEP_START),
        _event_record(run_id, "C", now - 150, DagsterEventType.STEP_SKIPPED),
        _event_record(run_id, "D", now - 150, DagsterEventType.STEP_START),
        _event_record(
            run_id,
            "D",
            now - 125,
            DagsterEventType.ASSET_MATERIALIZATION,
            StepMaterializationData(AssetMaterialization(asset_key="mat_1")),
        ),
        _event_record(
            run_id,
            "D",
            now - 100,
            DagsterEventType.STEP_EXPECTATION_RESULT,
            StepExpectationResultData(
                ExpectationResult(success=True, label="exp 1")),
        ),
        _event_record(
            run_id,
            "D",
            now - 75,
            DagsterEventType.ASSET_MATERIALIZATION,
            StepMaterializationData(AssetMaterialization(asset_key="mat_2")),
        ),
        _event_record(
            run_id,
            "D",
            now - 50,
            DagsterEventType.STEP_EXPECTATION_RESULT,
            StepExpectationResultData(
                ExpectationResult(success=False, label="exp 2")),
        ),
        _event_record(
            run_id,
            "D",
            now - 25,
            DagsterEventType.ASSET_MATERIALIZATION,
            StepMaterializationData(AssetMaterialization(asset_key="mat_3")),
        ),
        _event_record(
            run_id,
            "D",
            now,
            DagsterEventType.STEP_SUCCESS,
            StepSuccessData(duration_ms=150000.0),
        ),
    ]
Beispiel #6
0
def dagster_event_from_dict(event_dict, pipeline_name):
    check.dict_param(event_dict, "event_dict", key_type=str)
    check.str_param(pipeline_name, "pipeline_name")

    # Get event_type
    event_type = HANDLED_EVENTS.get(event_dict["__typename"])
    if not event_type:
        raise Exception("unhandled event type %s" % event_dict["__typename"])

    # Get event_specific_data
    event_specific_data = None
    if event_type == DagsterEventType.STEP_OUTPUT:
        event_specific_data = StepOutputData(
            step_output_handle=StepOutputHandle(event_dict["stepKey"],
                                                event_dict["outputName"]),
            type_check_data=TypeCheckData(
                success=event_dict["typeCheck"]["success"],
                label=event_dict["typeCheck"]["label"],
                description=event_dict.get("description"),
                metadata_entries=list(
                    event_metadata_entries(event_dict.get("metadataEntries"))
                    or []),
            ),
        )

    elif event_type == DagsterEventType.STEP_INPUT:
        event_specific_data = StepInputData(
            input_name=event_dict["inputName"],
            type_check_data=TypeCheckData(
                success=event_dict["typeCheck"]["success"],
                label=event_dict["typeCheck"]["label"],
                description=event_dict.get("description"),
                metadata_entries=list(
                    event_metadata_entries(event_dict.get("metadataEntries"))
                    or []),
            ),
        )
    elif event_type == DagsterEventType.STEP_SUCCESS:
        event_specific_data = StepSuccessData(0.0)

    elif event_type == DagsterEventType.STEP_UP_FOR_RETRY:
        event_specific_data = StepRetryData(
            error=error_from_data(event_dict["retryError"]),
            seconds_to_wait=event_dict["secondsToWait"],
        )

    elif event_type == DagsterEventType.STEP_MATERIALIZATION:
        materialization = event_dict["materialization"]
        event_specific_data = StepMaterializationData(
            materialization=materialization_from_data(materialization))
    elif event_type == DagsterEventType.STEP_EXPECTATION_RESULT:
        expectation_result = expectation_result_from_data(
            event_dict["expectationResult"])
        event_specific_data = StepExpectationResultData(expectation_result)

    elif event_type == DagsterEventType.STEP_FAILURE:
        event_specific_data = StepFailureData(
            error_from_data(event_dict["error"]),
            UserFailureData(
                label=event_dict["failureMetadata"]["label"],
                description=event_dict["failureMetadata"]["description"],
                metadata_entries=list(
                    event_metadata_entries(event_dict.get("metadataEntries"))
                    or []),
            ) if event_dict.get("failureMetadata") else None,
        )

    elif event_type == DagsterEventType.ENGINE_EVENT:
        event_specific_data = EngineEventData(
            metadata_entries=list(
                event_metadata_entries(event_dict.get("metadataEntries"))),
            marker_start=event_dict.get("markerStart"),
            marker_end=event_dict.get("markerEnd"),
            error=error_from_data(event_dict["engineError"])
            if event_dict.get("engineError") else None,
        )

    return DagsterEvent(
        event_type_value=event_type.value,
        pipeline_name=pipeline_name,
        step_key=event_dict.get("stepKey"),
        solid_handle=SolidHandle.from_string(event_dict["solidHandleID"])
        if event_dict.get("solidHandleID") else None,
        # at the time of writing this:
        # * 'COMPUTE` is the only step kind
        # * this code should get deleted in the near future as we move away from
        #   dagster-graphql CLI as what we invoke in dask/k8s/etc.
        step_kind_value="COMPUTE" if event_dict.get("stepKey") else None,
        logging_tags=None,
        event_specific_data=event_specific_data,
    )
Beispiel #7
0
def dagster_event_from_dict(event_dict, pipeline_name):
    check.dict_param(event_dict, 'event_dict', key_type=str)
    check.str_param(pipeline_name, 'pipeline_name')

    # Get event_type
    event_type = _handled_events().get(event_dict['__typename'])
    if not event_type:
        raise Exception('unhandled event type %s' % event_dict['__typename'])

    # Get event_specific_data
    event_specific_data = None
    if event_type == DagsterEventType.STEP_OUTPUT:
        event_specific_data = StepOutputData(
            step_output_handle=StepOutputHandle(event_dict['step']['key'],
                                                event_dict['outputName']),
            type_check_data=TypeCheckData(
                success=event_dict['typeCheck']['success'],
                label=event_dict['typeCheck']['label'],
                description=event_dict.get('description'),
                metadata_entries=list(
                    event_metadata_entries(event_dict.get('metadataEntries'))
                    or []),
            ),
        )

    elif event_type == DagsterEventType.STEP_INPUT:
        event_specific_data = StepInputData(
            input_name=event_dict['inputName'],
            type_check_data=TypeCheckData(
                success=event_dict['typeCheck']['success'],
                label=event_dict['typeCheck']['label'],
                description=event_dict.get('description'),
                metadata_entries=list(
                    event_metadata_entries(event_dict.get('metadataEntries'))
                    or []),
            ),
        )
    elif event_type == DagsterEventType.STEP_SUCCESS:
        event_specific_data = StepSuccessData(0.0)

    elif event_type == DagsterEventType.STEP_MATERIALIZATION:
        materialization = event_dict['materialization']
        event_specific_data = StepMaterializationData(
            materialization=materialization_from_data(materialization))
    elif event_type == DagsterEventType.STEP_EXPECTATION_RESULT:
        expectation_result = expectation_result_from_data(
            event_dict['expectationResult'])
        event_specific_data = StepExpectationResultData(expectation_result)

    elif event_type == DagsterEventType.STEP_FAILURE:
        error_info = SerializableErrorInfo(event_dict['error']['message'],
                                           stack=None,
                                           cls_name=None)
        event_specific_data = StepFailureData(
            error_info,
            UserFailureData(
                label=event_dict['failureMetadata']['label'],
                description=event_dict['failureMetadata']['description'],
                metadata_entries=list(
                    event_metadata_entries(event_dict.get('metadataEntries'))
                    or []),
            ) if event_dict.get('failureMetadata') else None,
        )

    # We should update the GraphQL response so that clients don't need to do this handle parsing.
    # See: https://github.com/dagster-io/dagster/issues/1559
    keys = event_dict['step']['solidHandleID'].split('.')
    handle = None
    while keys:
        handle = SolidHandle(keys.pop(0), definition_name=None, parent=handle)

    return DagsterEvent(
        event_type_value=event_type.value,
        pipeline_name=pipeline_name,
        step_key=event_dict['step']['key'],
        solid_handle=handle,
        step_kind_value=event_dict['step']['kind'],
        logging_tags=None,
        event_specific_data=event_specific_data,
    )
Beispiel #8
0
def dagster_event_from_dict(event_dict, pipeline_name):
    check.dict_param(event_dict, 'event_dict', key_type=str)
    check.str_param(pipeline_name, 'pipeline_name')

    # Get event_type
    event_type = _handled_events().get(event_dict['__typename'])
    if not event_type:
        raise Exception('unhandled event type %s' % event_dict['__typename'])

    # Get event_specific_data
    event_specific_data = None
    if event_type == DagsterEventType.STEP_OUTPUT:
        event_specific_data = StepOutputData(
            step_output_handle=StepOutputHandle(event_dict['step']['key'],
                                                event_dict['outputName']),
            value_repr=event_dict['valueRepr'],
            type_check_data=TypeCheckData(
                success=event_dict['typeCheck']['success'],
                label=event_dict['typeCheck']['label'],
                description=event_dict.get('description'),
                metadata_entries=list(
                    event_metadata_entries(event_dict.get('metadataEntries'))
                    or []),
            ),
        )

    elif event_type == DagsterEventType.STEP_INPUT:
        event_specific_data = StepInputData(
            input_name=event_dict['inputName'],
            value_repr=event_dict['valueRepr'],
            type_check_data=TypeCheckData(
                success=event_dict['typeCheck']['success'],
                label=event_dict['typeCheck']['label'],
                description=event_dict.get('description'),
                metadata_entries=list(
                    event_metadata_entries(event_dict.get('metadataEntries'))
                    or []),
            ),
        )
    elif event_type == DagsterEventType.STEP_SUCCESS:
        event_specific_data = StepSuccessData(0.0)

    elif event_type == DagsterEventType.STEP_MATERIALIZATION:
        materialization = event_dict['materialization']
        event_specific_data = StepMaterializationData(
            materialization=materialization_from_data(materialization))
    elif event_type == DagsterEventType.STEP_EXPECTATION_RESULT:
        expectation_result = expectation_result_from_data(
            event_dict['expectationResult'])
        event_specific_data = StepExpectationResultData(expectation_result)

    elif event_type == DagsterEventType.STEP_FAILURE:
        error_info = SerializableErrorInfo(event_dict['error']['message'],
                                           stack=None,
                                           cls_name=None)
        event_specific_data = StepFailureData(
            error_info,
            UserFailureData(
                label=event_dict['failureMetadata']['label'],
                description=event_dict['failureMetadata']['description'],
                metadata_entries=list(
                    event_metadata_entries(event_dict.get('metadataEntries'))
                    or []),
            ) if event_dict.get('failureMetadata') else None,
        )

    return DagsterEvent(
        event_type_value=event_type.value,
        pipeline_name=pipeline_name,
        step_key=event_dict['step']['key'],
        solid_handle=SolidHandle(event_dict['step']['solidHandleID'], None,
                                 None),
        step_kind_value=event_dict['step']['kind'],
        logging_tags=None,
        event_specific_data=event_specific_data,
    )
Beispiel #9
0
def dagster_event_from_dict(event_dict, pipeline_name):
    check.dict_param(event_dict, 'event_dict', key_type=str)
    check.str_param(pipeline_name, 'pipeline_name')

    # Get event_type
    event_type = HANDLED_EVENTS.get(event_dict['__typename'])
    if not event_type:
        raise Exception('unhandled event type %s' % event_dict['__typename'])

    # Get event_specific_data
    event_specific_data = None
    if event_type == DagsterEventType.STEP_OUTPUT:
        event_specific_data = StepOutputData(
            step_output_handle=StepOutputHandle(event_dict['stepKey'], event_dict['outputName']),
            type_check_data=TypeCheckData(
                success=event_dict['typeCheck']['success'],
                label=event_dict['typeCheck']['label'],
                description=event_dict.get('description'),
                metadata_entries=list(
                    event_metadata_entries(event_dict.get('metadataEntries')) or []
                ),
            ),
        )

    elif event_type == DagsterEventType.STEP_INPUT:
        event_specific_data = StepInputData(
            input_name=event_dict['inputName'],
            type_check_data=TypeCheckData(
                success=event_dict['typeCheck']['success'],
                label=event_dict['typeCheck']['label'],
                description=event_dict.get('description'),
                metadata_entries=list(
                    event_metadata_entries(event_dict.get('metadataEntries')) or []
                ),
            ),
        )
    elif event_type == DagsterEventType.STEP_SUCCESS:
        event_specific_data = StepSuccessData(0.0)

    elif event_type == DagsterEventType.STEP_UP_FOR_RETRY:
        event_specific_data = StepRetryData(
            error=error_from_data(event_dict['retryError']),
            seconds_to_wait=event_dict['secondsToWait'],
        )

    elif event_type == DagsterEventType.STEP_MATERIALIZATION:
        materialization = event_dict['materialization']
        event_specific_data = StepMaterializationData(
            materialization=materialization_from_data(materialization)
        )
    elif event_type == DagsterEventType.STEP_EXPECTATION_RESULT:
        expectation_result = expectation_result_from_data(event_dict['expectationResult'])
        event_specific_data = StepExpectationResultData(expectation_result)

    elif event_type == DagsterEventType.STEP_FAILURE:
        event_specific_data = StepFailureData(
            error_from_data(event_dict['error']),
            UserFailureData(
                label=event_dict['failureMetadata']['label'],
                description=event_dict['failureMetadata']['description'],
                metadata_entries=list(
                    event_metadata_entries(event_dict.get('metadataEntries')) or []
                ),
            )
            if event_dict.get('failureMetadata')
            else None,
        )

    elif event_type == DagsterEventType.ENGINE_EVENT:
        event_specific_data = EngineEventData(
            metadata_entries=list(event_metadata_entries(event_dict.get('metadataEntries'))),
            marker_start=event_dict.get('markerStart'),
            marker_end=event_dict.get('markerEnd'),
            error=error_from_data(event_dict['engineError'])
            if event_dict.get('engineError')
            else None,
        )

    return DagsterEvent(
        event_type_value=event_type.value,
        pipeline_name=pipeline_name,
        step_key=event_dict.get('stepKey'),
        solid_handle=SolidHandle.from_string(event_dict['solidHandleID'])
        if event_dict.get('solidHandleID')
        else None,
        # at the time of writing this:
        # * 'COMPUTE` is the only step kind
        # * this code should get deleted in the near future as we move away from
        #   dagster-graphql CLI as what we invoke in dask/k8s/etc.
        step_kind_value='COMPUTE' if event_dict.get('stepKey') else None,
        logging_tags=None,
        event_specific_data=event_specific_data,
    )