def resolve_executionPlan(self, graphene_info, pipeline, **kwargs):
return get_execution_plan(
graphene_info,
pipeline.to_selector(),
kwargs.get('environmentConfigData'),
kwargs.get('mode'),
)
def resolve_executionPlanOrError(self, graphene_info, pipeline, **kwargs):
return get_execution_plan(
graphene_info,
pipeline_selector_from_graphql(graphene_info.context, pipeline),
kwargs.get('runConfigData'),
kwargs.get('mode'),
)
def resolve_executionPlan(self, graphene_info):
if (self._pipeline_run.execution_plan_snapshot_id
and self._pipeline_run.pipeline_snapshot_id):
from .execution import DauphinExecutionPlan
instance = graphene_info.context.instance
execution_plan_snapshot = instance.get_execution_plan_snapshot(
self._pipeline_run.execution_plan_snapshot_id)
pipeline_snapshot = instance.get_pipeline_snapshot(
self._pipeline_run.pipeline_snapshot_id)
return (DauphinExecutionPlan(
ExecutionPlanIndex(
execution_plan_snapshot=execution_plan_snapshot,
pipeline_index=PipelineIndex(pipeline_snapshot),
))
# check this in case fetches fail
if execution_plan_snapshot and pipeline_snapshot else None)
else:
# "legacy" code path for runs created before pipeline and
# execution plan snapshots.
pipeline = self.resolve_pipeline(graphene_info)
if isinstance(pipeline, DauphinPipeline):
selector = self._pipeline_run.selector
environment_dict = self._pipeline_run.environment_dict
mode = self._pipeline_run.mode
pipeline_def = get_pipeline_def_from_selector(
graphene_info, selector)
if is_config_valid(pipeline_def, environment_dict, mode):
return get_execution_plan(graphene_info, selector,
environment_dict, mode)
return None
def resolve_executionPlan(self, graphene_info):
pipeline = self.resolve_pipeline(graphene_info)
if isinstance(pipeline, DauphinPipeline):
selector = self._pipeline_run.selector
environment_dict = self._pipeline_run.environment_dict
mode = self._pipeline_run.mode
pipeline_def = get_pipeline_def_from_selector(
graphene_info, selector)
if is_config_valid(pipeline_def, environment_dict, mode):
return get_execution_plan(graphene_info, selector,
environment_dict, mode)
return None
def resolve_executionPlan(self, graphene_info, pipeline, config):
return get_execution_plan(graphene_info, pipeline.to_selector(), config)
