def resolve_runs(self, graphene_info, **kwargs):
from .pipelines.pipeline import GrapheneRun
if kwargs.get("limit") and self._batch_loader:
limit = kwargs["limit"]
records = (
self._batch_loader.get_run_records_for_sensor(self._instigator_state.name, limit)
if self._instigator_state.instigator_type == InstigatorType.SENSOR
else self._batch_loader.get_run_records_for_schedule(
self._instigator_state.name, limit
)
)
return [GrapheneRun(record) for record in records]
if self._instigator_state.instigator_type == InstigatorType.SENSOR:
filters = PipelineRunsFilter.for_sensor(self._instigator_state)
else:
filters = PipelineRunsFilter.for_schedule(self._instigator_state)
return [
GrapheneRun(record)
for record in graphene_info.context.instance.get_run_records(
filters=filters,
limit=kwargs.get("limit"),
)
]
def resolve_runs(self, graphene_info, **kwargs):
return [
graphene_info.schema.type_named("PipelineRun")(r)
for r in graphene_info.context.instance.get_runs(
filters=PipelineRunsFilter.for_sensor(self._external_sensor),
limit=kwargs.get("limit"),
)
]
def resolve_runs(self, graphene_info, **kwargs):
if self._job_state.job_type == JobType.SENSOR:
filters = PipelineRunsFilter.for_sensor(self._job_state)
else:
filters = PipelineRunsFilter.for_schedule(self._job_state)
return [
graphene_info.schema.type_named("PipelineRun")(r)
for r in graphene_info.context.instance.get_runs(
filters=filters, limit=kwargs.get("limit"),
)
]
def resolve_runs(self, graphene_info, **kwargs):
from .pipelines.pipeline import GrapheneRun
if self._job_state.job_type == InstigatorType.SENSOR:
filters = PipelineRunsFilter.for_sensor(self._job_state)
else:
filters = PipelineRunsFilter.for_schedule(self._job_state)
return [
GrapheneRun(r) for r in graphene_info.context.instance.get_runs(
filters=filters,
limit=kwargs.get("limit"),
)
]
def resolve_runsCount(self, graphene_info):
if self._job_state.job_type == JobType.SENSOR:
filters = PipelineRunsFilter.for_sensor(self._job_state)
else:
filters = PipelineRunsFilter.for_schedule(self._job_state)
return graphene_info.context.instance.get_runs_count(filters=filters)
def resolve_runsCount(self, graphene_info):
return graphene_info.context.instance.get_runs_count(
filters=PipelineRunsFilter.for_sensor(self._external_sensor))
