Differential D6164 Diff 30381 python_modules/dagster-graphql/dagster_graphql/schema/roots/mutation.py

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python_modules/dagster-graphql/dagster_graphql/schema/roots/mutation.py

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				import graphene

				from ...implementation.execution import (
				create_and_launch_partition_backfill,
				delete_pipeline_run,
				launch_pipeline_execution,
				launch_pipeline_reexecution,
				terminate_pipeline_execution,
				)
				from ...implementation.external import get_full_external_pipeline_or_raise
				from ...implementation.utils import ExecutionMetadata
				from ...implementation.utils import ExecutionParams as ImplExecutionParams
				from ...implementation.utils import (
				UserFacingGraphQLError,
				capture_error,
				pipeline_selector_from_graphql,
				)
				from ..backfill import PartitionBackfillResult
				from ..errors import (
				ConflictingExecutionParamsError,
				PipelineRunNotFoundError,
				PresetNotFoundError,
				PythonError,
				ReloadNotSupported,
				RepositoryLocationNotFound,
				)
				from ..external import RepositoryLocation, RepositoryLocationLoadFailure
				from ..inputs import ExecutionParams, PartitionBackfillParams
				from ..pipelines.pipeline import PipelineRun
				from ..runs import LaunchPipelineExecutionResult, LaunchPipelineReexecutionResult
				from ..schedules import (
				ReconcileSchedulerStateMutation,
				StartScheduleMutation,
				StopRunningScheduleMutation,
				)
				from ..sensors import StartSensorMutation, StopSensorMutation


				def create_execution_params(graphene_info, graphql_execution_params):
				preset_name = graphql_execution_params.get("preset")
				selector = pipeline_selector_from_graphql(
				graphene_info.context, graphql_execution_params["selector"]
				)
				if preset_name:
				if graphql_execution_params.get("runConfigData"):
				raise UserFacingGraphQLError(
				ConflictingExecutionParamsError(conflicting_param="runConfigData")
				)

				if graphql_execution_params.get("mode"):
				raise UserFacingGraphQLError(ConflictingExecutionParamsError(conflicting_param="mode"))

				if selector.solid_selection:
				raise UserFacingGraphQLError(
				ConflictingExecutionParamsError(conflicting_param="selector.solid_selection")
				)

				external_pipeline = get_full_external_pipeline_or_raise(graphene_info, selector)

				if not external_pipeline.has_preset(preset_name):
				raise UserFacingGraphQLError(PresetNotFoundError(preset=preset_name, selector=selector))

				preset = external_pipeline.get_preset(preset_name)

				return ImplExecutionParams(
				selector=selector.with_solid_selection(preset.solid_selection),
				run_config=preset.run_config,
				mode=preset.mode,
				execution_metadata=create_execution_metadata(
				graphql_execution_params.get("executionMetadata")
				),
				step_keys=graphql_execution_params.get("stepKeys"),
				)

				return execution_params_from_graphql(graphene_info.context, graphql_execution_params)


				def execution_params_from_graphql(context, graphql_execution_params):
				return ImplExecutionParams(
				selector=pipeline_selector_from_graphql(context, graphql_execution_params.get("selector")),
				run_config=graphql_execution_params.get("runConfigData") or {},
				mode=graphql_execution_params.get("mode"),
				execution_metadata=create_execution_metadata(
				graphql_execution_params.get("executionMetadata")
				),
				step_keys=graphql_execution_params.get("stepKeys"),
				)


				def create_execution_metadata(graphql_execution_metadata):
				return (
				ExecutionMetadata(
				run_id=graphql_execution_metadata.get("runId"),
				tags={t["key"]: t["value"] for t in graphql_execution_metadata.get("tags", [])},
				root_run_id=graphql_execution_metadata.get("rootRunId"),
				parent_run_id=graphql_execution_metadata.get("parentRunId"),
				)
				if graphql_execution_metadata
				else ExecutionMetadata(run_id=None, tags={})
				)


				class DeletePipelineRunSuccess(graphene.ObjectType):
				runId = graphene.NonNull(graphene.String)


				class DeletePipelineRunResult(graphene.Union):
				class Meta:
				types = (DeletePipelineRunSuccess, PythonError, PipelineRunNotFoundError)


				class DeleteRunMutation(graphene.Mutation):
				class Arguments:
				runId = graphene.NonNull(graphene.String)

				Output = graphene.NonNull(DeletePipelineRunResult)

				def mutate(self, graphene_info, **kwargs):
				run_id = kwargs["runId"]
				return delete_pipeline_run(graphene_info, run_id)


				class TerminatePipelineExecutionSuccess(graphene.ObjectType):
				run = graphene.Field(graphene.NonNull(PipelineRun))


				class TerminatePipelineExecutionFailure(graphene.ObjectType):
				run = graphene.NonNull(PipelineRun)
				message = graphene.NonNull(graphene.String)


				class TerminatePipelineExecutionResult(graphene.Union):
				class Meta:
				types = (
				TerminatePipelineExecutionSuccess,
				TerminatePipelineExecutionFailure,
				PipelineRunNotFoundError,
				PythonError,
				)


				@capture_error
				def create_execution_params_and_launch_pipeline_exec(graphene_info, execution_params_dict):
				# refactored into a helper function here in order to wrap with @capture_error,
				# because create_execution_params may raise
				return launch_pipeline_execution(
				graphene_info,
				execution_params=create_execution_params(graphene_info, execution_params_dict),
				)


				class LaunchPipelineExecutionMutation(graphene.Mutation):
				class Meta:
				description = "Launch a pipeline run via the run launcher configured on the instance."

				class Arguments:
				executionParams = graphene.NonNull(ExecutionParams)

				Output = graphene.NonNull(LaunchPipelineExecutionResult)

				def mutate(self, graphene_info, **kwargs):
				return create_execution_params_and_launch_pipeline_exec(
				graphene_info, kwargs["executionParams"]
				)


				class LaunchPartitionBackfillMutation(graphene.Mutation):
				class Meta:
				description = "Launches a set of partition backfill runs via the run launcher configured on the instance."

				class Arguments:
				backfillParams = graphene.NonNull(PartitionBackfillParams)

				Output = graphene.NonNull(PartitionBackfillResult)

				def mutate(self, graphene_info, **kwargs):
				return create_and_launch_partition_backfill(graphene_info, kwargs["backfillParams"])


				@capture_error
				def create_execution_params_and_launch_pipeline_reexec(graphene_info, execution_params_dict):
				# refactored into a helper function here in order to wrap with @capture_error,
				# because create_execution_params may raise
				return launch_pipeline_reexecution(
				graphene_info,
				execution_params=create_execution_params(graphene_info, execution_params_dict),
				)


				class LaunchPipelineReexecutionMutation(graphene.Mutation):
				class Meta:
				description = "Re-launch a pipeline run via the run launcher configured on the instance"

				class Arguments:
				executionParams = graphene.NonNull(ExecutionParams)

				Output = graphene.NonNull(LaunchPipelineReexecutionResult)

				def mutate(self, graphene_info, **kwargs):
				return create_execution_params_and_launch_pipeline_reexec(
				graphene_info, execution_params_dict=kwargs["executionParams"],
				)


				class TerminatePipelinePolicy(graphene.Enum):
				# Default behavior: Only mark as canceled if the termination is successful, and after all
				# resources peforming the execution have been shut down.
				SAFE_TERMINATE = "SAFE_TERMINATE"

				# Immediately mark the pipelie as canceled, whether or not the termination was successful.
				# No guarantee that the execution has actually stopped.
				MARK_AS_CANCELED_IMMEDIATELY = "MARK_AS_CANCELED_IMMEDIATELY"


				class TerminatePipelineExecutionMutation(graphene.Mutation):
				class Arguments:
				runId = graphene.NonNull(graphene.String)
				terminatePolicy = graphene.Argument(TerminatePipelinePolicy)

				Output = graphene.NonNull(TerminatePipelineExecutionResult)

				def mutate(self, graphene_info, **kwargs):
				return terminate_pipeline_execution(
				graphene_info,
				kwargs["runId"],
				kwargs.get("terminatePolicy", TerminatePipelinePolicy.SAFE_TERMINATE),
				)


				class ReloadRepositoryLocationMutationResult(graphene.Union):
				class Meta:
				types = (
				RepositoryLocation,
				ReloadNotSupported,
				RepositoryLocationNotFound,
				RepositoryLocationLoadFailure,
				)


				class ReloadRepositoryLocationMutation(graphene.Mutation):
				class Arguments:
				repositoryLocationName = graphene.NonNull(graphene.String)

				Output = graphene.NonNull(ReloadRepositoryLocationMutationResult)

				def mutate(self, graphene_info, **kwargs):
				location_name = kwargs["repositoryLocationName"]

				if not graphene_info.context.has_repository_location(
				location_name
				) and not graphene_info.context.has_repository_location_error(location_name):
				return RepositoryLocationNotFound(location_name)

				if not graphene_info.context.is_reload_supported(location_name):
				return ReloadNotSupported(location_name)

				graphene_info.context.reload_repository_location(location_name)

				if graphene_info.context.has_repository_location(location_name):
				return RepositoryLocation(graphene_info.context.get_repository_location(location_name))
				else:
				return RepositoryLocationLoadFailure(
				location_name, graphene_info.context.get_repository_location_error(location_name)
				)


				class Mutation(graphene.ObjectType):
				launch_pipeline_execution = LaunchPipelineExecutionMutation.Field()
				launch_pipeline_reexecution = LaunchPipelineReexecutionMutation.Field()
				reconcile_scheduler_state = ReconcileSchedulerStateMutation.Field()
				start_schedule = StartScheduleMutation.Field()
				stop_running_schedule = StopRunningScheduleMutation.Field()
				start_sensor = StartSensorMutation.Field()
				stop_sensor = StopSensorMutation.Field()
				terminate_pipeline_execution = TerminatePipelineExecutionMutation.Field()
				delete_pipeline_run = DeleteRunMutation.Field()
				reload_repository_location = ReloadRepositoryLocationMutation.Field()
				launch_partition_backfill = LaunchPartitionBackfillMutation.Field()