def resolve_nodes(self, graphene_info):
pipeline = get_pipeline_reference_or_raise(graphene_info,
self._pipeline_run.selector)
if isinstance(pipeline, DauphinPipeline):
pipeline_def = get_pipeline_def_from_selector(
graphene_info, self._pipeline_run.selector)
execution_plan = create_execution_plan(
pipeline_def,
self._pipeline_run.environment_dict,
mode=self._pipeline_run.mode,
step_keys_to_execute=self._pipeline_run.step_keys_to_execute,
)
execution_plan_index = ExecutionPlanIndex.from_plan_and_index(
execution_plan, pipeline_def.get_pipeline_index())
else:
pipeline = None
execution_plan = None
execution_plan_index = None
return [
from_event_record(graphene_info, log, pipeline,
execution_plan_index) for log in
graphene_info.context.instance.all_logs(self._pipeline_run.run_id)
]
def resolve_nodes(self, graphene_info):
pipeline = get_pipeline_reference_or_raise(graphene_info, self._pipeline_run.selector)
if isinstance(pipeline, DauphinPipeline):
execution_plan = create_execution_plan(
pipeline.get_dagster_pipeline(),
self._pipeline_run.environment_dict,
RunConfig(mode=self._pipeline_run.mode),
)
else:
pipeline = None
execution_plan = None
return [
from_event_record(graphene_info, log, pipeline, execution_plan)
for log in graphene_info.context.instance.all_logs(self._pipeline_run.run_id)
]
def resolve_pipeline(self, graphene_info):
return get_pipeline_reference_or_raise(graphene_info,
self._pipeline_run.selector)
