예제 #1
0
def build_run_stats_from_events(run_id, records):
    try:
        iter(records)
    except TypeError as exc:
        raise check.ParameterCheckError(
            "Invariant violation for parameter 'records'. Description: Expected iterable."
        ) from exc
    for i, record in enumerate(records):
        check.inst_param(record, f"records[{i}]", EventRecord)

    steps_succeeded = 0
    steps_failed = 0
    materializations = 0
    expectations = 0
    enqueued_time = None
    launch_time = None
    start_time = None
    end_time = None

    for event in records:
        if not event.is_dagster_event:
            continue
        dagster_event = event.get_dagster_event()

        event_timestamp_float = (event.timestamp if isinstance(
            event.timestamp, float) else datetime_as_float(event.timestamp))
        if dagster_event.event_type == DagsterEventType.PIPELINE_START:
            start_time = event_timestamp_float
        if dagster_event.event_type == DagsterEventType.PIPELINE_STARTING:
            launch_time = event_timestamp_float
        if dagster_event.event_type == DagsterEventType.PIPELINE_ENQUEUED:
            enqueued_time = event_timestamp_float
        if dagster_event.event_type == DagsterEventType.STEP_FAILURE:
            steps_failed += 1
        if dagster_event.event_type == DagsterEventType.STEP_SUCCESS:
            steps_succeeded += 1
        if dagster_event.event_type == DagsterEventType.STEP_MATERIALIZATION:
            materializations += 1
        if dagster_event.event_type == DagsterEventType.STEP_EXPECTATION_RESULT:
            expectations += 1
        if (dagster_event.event_type == DagsterEventType.PIPELINE_SUCCESS or
                dagster_event.event_type == DagsterEventType.PIPELINE_FAILURE
                or dagster_event.event_type
                == DagsterEventType.PIPELINE_CANCELED):
            end_time = (event.timestamp if isinstance(event.timestamp, float)
                        else datetime_as_float(event.timestamp))

    return PipelineRunStatsSnapshot(
        run_id,
        steps_succeeded,
        steps_failed,
        materializations,
        expectations,
        enqueued_time,
        launch_time,
        start_time,
        end_time,
    )
예제 #2
0
파일: stats.py 프로젝트: xaniasd/dagster
def build_run_stats_from_events(run_id, records):
    try:
        iter(records)
    except TypeError as exc:
        six.raise_from(
            check.ParameterCheckError(
                "Invariant violation for parameter 'records'. Description: Expected iterable."
            ),
            from_value=exc,
        )
    for i, record in enumerate(records):
        check.inst_param(record, "records[{i}]".format(i=i), EventRecord)

    steps_succeeded = 0
    steps_failed = 0
    materializations = 0
    expectations = 0
    start_time = None
    end_time = None

    for event in records:
        if not event.is_dagster_event:
            continue
        if event.dagster_event.event_type == DagsterEventType.PIPELINE_START:
            start_time = (event.timestamp if isinstance(
                event.timestamp, float) else datetime_as_float(
                    event.timestamp))
        if event.dagster_event.event_type == DagsterEventType.STEP_FAILURE:
            steps_failed += 1
        if event.dagster_event.event_type == DagsterEventType.STEP_SUCCESS:
            steps_succeeded += 1
        if event.dagster_event.event_type == DagsterEventType.STEP_MATERIALIZATION:
            materializations += 1
        if event.dagster_event.event_type == DagsterEventType.STEP_EXPECTATION_RESULT:
            expectations += 1
        if (event.dagster_event.event_type == DagsterEventType.PIPELINE_SUCCESS
                or event.dagster_event.event_type
                == DagsterEventType.PIPELINE_FAILURE):
            end_time = (event.timestamp if isinstance(event.timestamp, float)
                        else datetime_as_float(event.timestamp))

    return PipelineRunStatsSnapshot(run_id, steps_succeeded, steps_failed,
                                    materializations, expectations, start_time,
                                    end_time)