def create_bash_workflow() -> Workflow:
workflow = Workflow()
workflow.project_desc = ProjectDesc()
workflow.project_desc.project_name = "workflow_1"
for i in range(3):
job = TestDAGGenerator.create_bash_job(i)
workflow.add_job(job)
deps_1 = [
JobControlEdge(target_node_id='',
source_node_id='1_job',
met_config=MetConfig(
event_key='key_1',
event_value='value_1',
event_type=UNDEFINED_EVENT_TYPE))
]
deps_2 = [
JobControlEdge(target_node_id='',
source_node_id='2_job',
met_config=MetConfig(
event_key='key_2',
event_value='value_2',
event_type=UNDEFINED_EVENT_TYPE))
]
workflow.add_edges("1_job", deps_1)
workflow.add_edges("2_job", deps_2)
workflow.workflow_id = 1
return workflow
def create_workflow() -> Workflow:
workflow = Workflow()
workflow.project_desc = ProjectDesc()
workflow.project_desc.project_name = "workflow_1"
for i in range(6):
job = TestDAGGenerator.create_dummy_job(i)
if i == 2:
job.job_config = SendEventJobConfig('localhost:50051', 'key_1',
'value_1',
UNDEFINED_EVENT_TYPE)
elif i == 3:
job.job_config = SendEventJobConfig('localhost:50051', 'key_2',
'value_2',
UNDEFINED_EVENT_TYPE)
elif i == 5:
job.job_config = SendEventJobConfig('localhost:50051', 'key_2',
'value_2',
"STOP_SCHEDULER_CMD")
workflow.add_job(job)
dependencies = [
JobControlEdge(target_node_id='0_job',
source_node_id='2_job',
met_config=MetConfig(
event_key=generate_job_status_key('0_job'),
event_value=State.FINISHED.value)),
JobControlEdge(target_node_id='1_job',
source_node_id='2_job',
met_config=MetConfig(
event_key=generate_job_status_key('1_job'),
event_value=State.FINISHED.value))
]
workflow.add_edges("2_job", dependencies)
dependencies = [
JobControlEdge(target_node_id='2_job',
source_node_id='4_job',
met_config=MetConfig(
event_key='key_1',
event_value='value_1',
event_type=UNDEFINED_EVENT_TYPE)),
JobControlEdge(target_node_id='3_job',
source_node_id='4_job',
met_config=MetConfig(
event_key='key_2',
event_value='value_2',
event_type=UNDEFINED_EVENT_TYPE))
]
workflow.add_edges("4_job", dependencies)
dependencies = [
JobControlEdge(target_node_id='4_job',
source_node_id='5_job',
met_config=MetConfig(
event_key=generate_job_status_key('5_job'),
event_value=State.FINISHED.value))
]
workflow.add_edges("5_job", dependencies)
workflow.workflow_id = 1
return workflow
def build_workflow(self, split_graph: SplitGraph,
project_desc: ProjectDesc) -> Workflow:
sub_id_to_job_id = {}
workflow = Workflow()
workflow.project_desc = project_desc
# add ai_nodes to workflow
for sub in split_graph.nodes.values():
if (sub.config.platform, sub.config.engine
) not in self.job_generator_registry.object_dict:
raise Exception(
"job generator not support platform {} engine {}".format(
sub.config.platform, sub.config.engine))
generator: BaseJobGenerator = self.job_generator_registry \
.get_object((sub.config.platform, sub.config.engine))
job: BaseJob = generator.generate(sub_graph=sub,
project_desc=project_desc)
job.job_config.project_desc = project_desc
if job.job_name is None:
job.job_name = job.job_config.job_name
workflow.add_job(job)
sub_id_to_job_id[sub.instance_id] = job.instance_id
# add edges to workflow
for edges in split_graph.edges.values():
for e in edges:
control_edge = copy.deepcopy(e)
control_edge.source_node_id = sub_id_to_job_id[
e.source_node_id]
control_edge.target_node_id = sub_id_to_job_id[
e.target_node_id]
job_edge: JobControlEdge = control_edge_to_job_edge(
control_edge=control_edge)
workflow.add_edge(sub_id_to_job_id[e.source_node_id], job_edge)
self.register_workflow_execution(workflow)
for job in workflow.jobs.values():
job.job_config.project_path = project_desc.project_path
if job.job_config.exec_mode is None:
job.job_config.exec_mode = ExecutionMode.BATCH
generator: BaseJobGenerator = self.job_generator_registry \
.get_object((job.platform, job.exec_engine))
generator.generate_job_resource(job)
return workflow