def get_external_schedule_execution(
recon_repo,
instance_ref,
schedule_name,
scheduled_execution_timestamp,
scheduled_execution_timezone,
):
check.inst_param(
recon_repo,
"recon_repo",
ReconstructableRepository,
)
definition = recon_repo.get_definition()
schedule_def = definition.get_schedule_def(schedule_name)
scheduled_execution_time = (pendulum.from_timestamp(
scheduled_execution_timestamp,
tz=scheduled_execution_timezone,
) if scheduled_execution_timestamp else None)
schedule_context = ScheduleExecutionContext(instance_ref,
scheduled_execution_time)
try:
with user_code_error_boundary(
ScheduleExecutionError,
lambda:
"Error occurred during the execution function for schedule "
"{schedule_name}".format(schedule_name=schedule_def.name),
):
return ExternalScheduleExecutionData.from_execution_data(
schedule_def.get_execution_data(schedule_context))
except ScheduleExecutionError:
return ExternalScheduleExecutionErrorData(
serializable_error_info_from_exc_info(sys.exc_info()))
def get_external_schedule_execution(external_schedule_execution_args):
check.inst_param(
external_schedule_execution_args,
'external_schedule_execution_args',
ExternalScheduleExecutionArgs,
)
recon_repo = recon_repository_from_origin(
external_schedule_execution_args.repository_origin)
definition = recon_repo.get_definition()
schedule_def = definition.get_schedule_def(
external_schedule_execution_args.schedule_name)
instance = DagsterInstance.from_ref(
external_schedule_execution_args.instance_ref)
schedule_context = ScheduleExecutionContext(instance)
try:
with user_code_error_boundary(
ScheduleExecutionError,
lambda:
'Error occurred during the execution of run_config_fn for schedule '
'{schedule_name}'.format(schedule_name=schedule_def.name),
):
run_config = schedule_def.get_run_config(schedule_context)
return ExternalScheduleExecutionData(run_config=run_config)
except ScheduleExecutionError:
return ExternalScheduleExecutionErrorData(
serializable_error_info_from_exc_info(sys.exc_info()))
def get_external_schedule_execution(recon_repo,
external_schedule_execution_args):
check.inst_param(
recon_repo,
"recon_repo",
ReconstructableRepository,
)
check.inst_param(
external_schedule_execution_args,
"external_schedule_execution_args",
ExternalScheduleExecutionArgs,
)
definition = recon_repo.get_definition()
schedule_def = definition.get_schedule_def(
external_schedule_execution_args.schedule_name)
with DagsterInstance.from_ref(
external_schedule_execution_args.instance_ref) as instance:
schedule_context = ScheduleExecutionContext(instance)
schedule_execution_data_mode = external_schedule_execution_args.schedule_execution_data_mode
try:
with user_code_error_boundary(
ScheduleExecutionError,
lambda:
"Error occurred during the execution of should_execute for schedule "
"{schedule_name}".format(schedule_name=schedule_def.name),
):
should_execute = None
if (schedule_execution_data_mode ==
ScheduleExecutionDataMode.LAUNCH_SCHEDULED_EXECUTION):
should_execute = schedule_def.should_execute(
schedule_context)
if not should_execute:
return ExternalScheduleExecutionData(
should_execute=False, run_config=None, tags=None)
with user_code_error_boundary(
ScheduleExecutionError,
lambda:
"Error occurred during the execution of run_config_fn for schedule "
"{schedule_name}".format(schedule_name=schedule_def.name),
):
run_config = schedule_def.get_run_config(schedule_context)
with user_code_error_boundary(
ScheduleExecutionError,
lambda:
"Error occurred during the execution of tags_fn for schedule "
"{schedule_name}".format(schedule_name=schedule_def.name),
):
tags = schedule_def.get_tags(schedule_context)
return ExternalScheduleExecutionData(run_config=run_config,
tags=tags,
should_execute=should_execute)
except ScheduleExecutionError:
return ExternalScheduleExecutionErrorData(
serializable_error_info_from_exc_info(sys.exc_info()))
def get_external_schedule_execution(
recon_repo,
instance_ref,
schedule_name,
scheduled_execution_timestamp,
scheduled_execution_timezone,
):
check.inst_param(
recon_repo,
"recon_repo",
ReconstructableRepository,
)
definition = recon_repo.get_definition()
schedule_def = definition.get_schedule_def(schedule_name)
with DagsterInstance.from_ref(instance_ref) as instance:
scheduled_execution_time = (pendulum.from_timestamp(
scheduled_execution_timestamp,
tz=scheduled_execution_timezone,
) if scheduled_execution_timestamp else None)
schedule_context = ScheduleExecutionContext(instance,
scheduled_execution_time)
try:
with user_code_error_boundary(
ScheduleExecutionError,
lambda:
"Error occurred during the execution of should_execute for schedule "
"{schedule_name}".format(schedule_name=schedule_def.name),
):
if not schedule_def.should_execute(schedule_context):
return ExternalScheduleExecutionData(should_execute=False,
run_config=None,
tags=None)
with user_code_error_boundary(
ScheduleExecutionError,
lambda:
"Error occurred during the execution of run_config_fn for schedule "
"{schedule_name}".format(schedule_name=schedule_def.name),
):
run_config = schedule_def.get_run_config(schedule_context)
with user_code_error_boundary(
ScheduleExecutionError,
lambda:
"Error occurred during the execution of tags_fn for schedule "
"{schedule_name}".format(schedule_name=schedule_def.name),
):
tags = schedule_def.get_tags(schedule_context)
return ExternalScheduleExecutionData(run_config=run_config,
tags=tags,
should_execute=True)
except ScheduleExecutionError:
return ExternalScheduleExecutionErrorData(
serializable_error_info_from_exc_info(sys.exc_info()))
def __init__(self, graphene_info, schedule_def):
self._schedule_def = check.inst_param(schedule_def, 'schedule_def', ScheduleDefinition)
self._schedule_context = ScheduleExecutionContext(graphene_info.context.instance)
execution_params = schedule_def.execution_params
environment_config = schedule_def.get_environment_dict(self._schedule_context)
execution_params['environmentConfigData'] = environment_config
super(DauphinScheduleDefinition, self).__init__(
name=schedule_def.name,
cron_schedule=schedule_def.cron_schedule,
execution_params_string=seven.json.dumps(execution_params),
)
def resolve_run_config_yaml(self, graphene_info):
schedule_def = self._schedule_def
schedule_context = ScheduleExecutionContext(graphene_info.context.instance)
try:
with user_code_error_boundary(
ScheduleExecutionError,
lambda: 'Error occurred during the execution of environment_dict_fn for schedule '
'{schedule_name}'.format(schedule_name=schedule_def.name),
):
environment_config = schedule_def.get_environment_dict(schedule_context)
except ScheduleExecutionError:
return None
run_config_yaml = yaml.dump(environment_config, default_flow_style=False)
return run_config_yaml if run_config_yaml else ''
def __init__(self, graphene_info, schedule_def):
self._schedule_def = check.inst_param(schedule_def, 'schedule_def',
ScheduleDefinition)
self._schedule_context = ScheduleExecutionContext(
graphene_info.context.instance)
self._schedule_def = check.inst_param(schedule_def, 'schedule_def',
ScheduleDefinition)
super(DauphinScheduleDefinition, self).__init__(
name=schedule_def.name,
cron_schedule=schedule_def.cron_schedule,
pipeline_name=schedule_def.selector.name,
solid_subset=schedule_def.selector.solid_subset,
mode=schedule_def.mode,
)
def _launch_scheduled_execution(instance, schedule_def, pipeline, tick,
stream):
pipeline_def = pipeline.get_definition()
# Run should_execute and halt if it returns False
schedule_context = ScheduleExecutionContext(instance)
with user_code_error_boundary(
ScheduleExecutionError,
lambda:
'Error occurred during the execution of should_execute for schedule '
'{schedule_name}'.format(schedule_name=schedule_def.name),
):
should_execute = schedule_def.should_execute(schedule_context)
if not should_execute:
# Update tick to skipped state and return
tick.update_with_status(ScheduleTickStatus.SKIPPED)
stream.send(ScheduledExecutionSkipped())
return
errors = []
run_config = {}
schedule_tags = {}
try:
with user_code_error_boundary(
ScheduleExecutionError,
lambda:
'Error occurred during the execution of run_config_fn for schedule '
'{schedule_name}'.format(schedule_name=schedule_def.name),
):
run_config = schedule_def.get_run_config(schedule_context)
except DagsterUserCodeExecutionError:
error_data = serializable_error_info_from_exc_info(sys.exc_info())
errors.append(error_data)
try:
with user_code_error_boundary(
ScheduleExecutionError,
lambda:
'Error occurred during the execution of tags_fn for schedule '
'{schedule_name}'.format(schedule_name=schedule_def.name),
):
schedule_tags = schedule_def.get_tags(schedule_context)
except DagsterUserCodeExecutionError:
error_data = serializable_error_info_from_exc_info(sys.exc_info())
errors.append(error_data)
pipeline_tags = pipeline_def.tags or {}
check_tags(pipeline_tags, 'pipeline_tags')
tags = merge_dicts(pipeline_tags, schedule_tags)
mode = schedule_def.mode
execution_plan_snapshot = None
try:
execution_plan = create_execution_plan(
pipeline_def,
run_config=run_config,
mode=mode,
)
execution_plan_snapshot = snapshot_from_execution_plan(
execution_plan, pipeline_def.get_pipeline_snapshot_id())
except DagsterInvalidConfigError:
error_data = serializable_error_info_from_exc_info(sys.exc_info())
errors.append(error_data)
# Enter the run in the DB with the information we have
possibly_invalid_pipeline_run = instance.create_run(
pipeline_name=schedule_def.pipeline_name,
run_id=None,
run_config=run_config,
mode=mode,
solids_to_execute=pipeline.solids_to_execute,
step_keys_to_execute=None,
solid_selection=pipeline.solid_selection,
status=None,
root_run_id=None,
parent_run_id=None,
tags=tags,
pipeline_snapshot=pipeline_def.get_pipeline_snapshot(),
execution_plan_snapshot=execution_plan_snapshot,
parent_pipeline_snapshot=pipeline_def.get_parent_pipeline_snapshot(),
)
tick.update_with_status(ScheduleTickStatus.SUCCESS,
run_id=possibly_invalid_pipeline_run.run_id)
# If there were errors, inject them into the event log and fail the run
if len(errors) > 0:
for error in errors:
instance.report_engine_event(
error.message,
possibly_invalid_pipeline_run,
EngineEventData.engine_error(error),
)
instance.report_run_failed(possibly_invalid_pipeline_run)
stream.send(
ScheduledExecutionFailed(
run_id=possibly_invalid_pipeline_run.run_id, errors=errors))
return
# Otherwise the run should be valid so lets launch it
# Need an ExternalPipeline to launch so make one here
recon_repo = pipeline.get_reconstructable_repository()
repo_location = InProcessRepositoryLocation(recon_repo)
external_pipeline = repo_location.get_repository(
recon_repo.get_definition().name).get_full_external_pipeline(
pipeline_def.name)
try:
launched_run = instance.launch_run(
possibly_invalid_pipeline_run.run_id, external_pipeline)
except DagsterLaunchFailedError:
error = serializable_error_info_from_exc_info(sys.exc_info())
instance.report_engine_event(
error.message,
possibly_invalid_pipeline_run,
EngineEventData.engine_error(error),
)
instance.report_run_failed(possibly_invalid_pipeline_run)
stream.send(
ScheduledExecutionFailed(
run_id=possibly_invalid_pipeline_run.run_id, errors=[error]))
return
stream.send(ScheduledExecutionSuccess(run_id=launched_run.run_id))
return