def resolve_nodes(self, graphene_info): pipeline = get_pipeline_or_raise(graphene_info, self._pipeline_run.selector) return [ graphene_info.schema.type_named( 'PipelineRunEvent').from_dagster_event( graphene_info, log, pipeline, self._pipeline_run.execution_plan) for log in self._logs ]
def resolve_nodes(self, graphene_info): pipeline = get_pipeline_or_raise(graphene_info, self._pipeline_run.selector) execution_plan = create_execution_plan( pipeline.get_dagster_pipeline(), self._pipeline_run.config, RunConfig(mode=self._pipeline_run.mode), ) return [ from_event_record(graphene_info, log, pipeline, execution_plan) for log in self._logs ]
def resolve_nodes(self, graphene_info): pipeline = get_pipeline_or_raise(graphene_info, self._pipeline_run.selector) execution_plan = create_execution_plan( pipeline.get_dagster_pipeline(), self._pipeline_run.environment_dict, RunConfig(mode=self._pipeline_run.mode), ) 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_or_raise(graphene_info, self._pipeline_run.selector)
def resolve_pipeline(self, graphene_info, **kwargs): return get_pipeline_or_raise(graphene_info, kwargs['params'].to_selector())
def resolve_nodes(self, graphene_info): pipeline = get_pipeline_or_raise(graphene_info, self._pipeline_run.selector) return [ from_event_record(graphene_info, log, pipeline, self._pipeline_run.execution_plan) for log in self._logs ]