def _run_(self):
# todo: All function calls where errors should be thrown
args = self.args
start_time = current_timestamp()
try:
LOGGER.info(
f'run {args.component_name} {args.task_id} {args.task_version} on {args.role} {args.party_id} task'
)
self.report_info.update({
"job_id": args.job_id,
"component_name": args.component_name,
"task_id": args.task_id,
"task_version": args.task_version,
"role": args.role,
"party_id": args.party_id,
"run_ip": args.run_ip,
"run_pid": self.run_pid
})
operation_client = OperationClient()
job_configuration = JobConfiguration(
**operation_client.get_job_conf(
args.job_id, args.role, args.party_id, args.component_name,
args.task_id, args.task_version))
task_parameters_conf = args.config
dsl_parser = schedule_utils.get_job_dsl_parser(
dsl=job_configuration.dsl,
runtime_conf=job_configuration.runtime_conf,
train_runtime_conf=job_configuration.train_runtime_conf,
pipeline_dsl=None)
job_parameters = dsl_parser.get_job_parameters(
job_configuration.runtime_conf)
user_name = job_parameters.get(args.role,
{}).get(args.party_id,
{}).get("user", '')
LOGGER.info(f"user name:{user_name}")
src_user = task_parameters_conf.get("src_user")
task_parameters = RunParameters(**task_parameters_conf)
job_parameters = task_parameters
if job_parameters.assistant_role:
TaskExecutor.monkey_patch()
job_args_on_party = TaskExecutor.get_job_args_on_party(
dsl_parser, job_configuration.runtime_conf_on_party, args.role,
args.party_id)
component = dsl_parser.get_component_info(
component_name=args.component_name)
module_name = component.get_module()
task_input_dsl = component.get_input()
task_output_dsl = component.get_output()
kwargs = {
'job_id': args.job_id,
'role': args.role,
'party_id': args.party_id,
'component_name': args.component_name,
'task_id': args.task_id,
'task_version': args.task_version,
'model_id': job_parameters.model_id,
'model_version': job_parameters.model_version,
'component_module_name': module_name,
'job_parameters': job_parameters,
}
tracker = Tracker(**kwargs)
tracker_client = TrackerClient(**kwargs)
checkpoint_manager = CheckpointManager(**kwargs)
self.report_info["party_status"] = TaskStatus.RUNNING
self.report_task_info_to_driver()
previous_components_parameters = tracker_client.get_model_run_parameters(
)
LOGGER.info(
f"previous_components_parameters:\n{json_dumps(previous_components_parameters, indent=4)}"
)
component_provider, component_parameters_on_party, user_specified_parameters = ProviderManager.get_component_run_info(
dsl_parser=dsl_parser,
component_name=args.component_name,
role=args.role,
party_id=args.party_id,
previous_components_parameters=previous_components_parameters)
RuntimeConfig.set_component_provider(component_provider)
LOGGER.info(
f"component parameters on party:\n{json_dumps(component_parameters_on_party, indent=4)}"
)
flow_feeded_parameters = {
"output_data_name": task_output_dsl.get("data")
}
# init environment, process is shared globally
RuntimeConfig.init_config(
COMPUTING_ENGINE=job_parameters.computing_engine,
FEDERATION_ENGINE=job_parameters.federation_engine,
FEDERATED_MODE=job_parameters.federated_mode)
if RuntimeConfig.COMPUTING_ENGINE == ComputingEngine.EGGROLL:
session_options = task_parameters.eggroll_run.copy()
session_options["python.path"] = os.getenv("PYTHONPATH")
session_options["python.venv"] = os.getenv("VIRTUAL_ENV")
else:
session_options = {}
sess = session.Session(session_id=args.session_id)
sess.as_global()
sess.init_computing(computing_session_id=args.session_id,
options=session_options)
component_parameters_on_party[
"job_parameters"] = job_parameters.to_dict()
roles = job_configuration.runtime_conf["role"]
if set(roles) == {"local"}:
LOGGER.info(f"only local roles, pass init federation")
else:
sess.init_federation(
federation_session_id=args.federation_session_id,
runtime_conf=component_parameters_on_party,
service_conf=job_parameters.engines_address.get(
EngineType.FEDERATION, {}))
LOGGER.info(
f'run {args.component_name} {args.task_id} {args.task_version} on {args.role} {args.party_id} task'
)
LOGGER.info(
f"component parameters on party:\n{json_dumps(component_parameters_on_party, indent=4)}"
)
LOGGER.info(f"task input dsl {task_input_dsl}")
task_run_args, input_table_list = self.get_task_run_args(
job_id=args.job_id,
role=args.role,
party_id=args.party_id,
task_id=args.task_id,
task_version=args.task_version,
job_args=job_args_on_party,
job_parameters=job_parameters,
task_parameters=task_parameters,
input_dsl=task_input_dsl,
)
if module_name in {
"Upload", "Download", "Reader", "Writer", "Checkpoint"
}:
task_run_args["job_parameters"] = job_parameters
LOGGER.info(f"task input args {task_run_args}")
need_run = component_parameters_on_party.get("ComponentParam",
{}).get(
"need_run", True)
provider_interface = provider_utils.get_provider_interface(
provider=component_provider)
run_object = provider_interface.get(
module_name,
ComponentRegistry.get_provider_components(
provider_name=component_provider.name,
provider_version=component_provider.version)).get_run_obj(
self.args.role)
flow_feeded_parameters.update({"table_info": input_table_list})
cpn_input = ComponentInput(
tracker=tracker_client,
checkpoint_manager=checkpoint_manager,
task_version_id=job_utils.generate_task_version_id(
args.task_id, args.task_version),
parameters=component_parameters_on_party["ComponentParam"],
datasets=task_run_args.get("data", None),
caches=task_run_args.get("cache", None),
models=dict(
model=task_run_args.get("model"),
isometric_model=task_run_args.get("isometric_model"),
),
job_parameters=job_parameters,
roles=dict(
role=component_parameters_on_party["role"],
local=component_parameters_on_party["local"],
),
flow_feeded_parameters=flow_feeded_parameters,
)
profile_log_enabled = False
try:
if int(os.getenv("FATE_PROFILE_LOG_ENABLED", "0")) > 0:
profile_log_enabled = True
except Exception as e:
LOGGER.warning(e)
if profile_log_enabled:
# add profile logs
LOGGER.info("profile logging is enabled")
profile.profile_start()
cpn_output = run_object.run(cpn_input)
sess.wait_remote_all_done()
profile.profile_ends()
else:
LOGGER.info("profile logging is disabled")
cpn_output = run_object.run(cpn_input)
sess.wait_remote_all_done()
output_table_list = []
LOGGER.info(f"task output data {cpn_output.data}")
for index, data in enumerate(cpn_output.data):
data_name = task_output_dsl.get(
'data')[index] if task_output_dsl.get(
'data') else '{}'.format(index)
#todo: the token depends on the engine type, maybe in job parameters
persistent_table_namespace, persistent_table_name = tracker.save_output_data(
computing_table=data,
output_storage_engine=job_parameters.storage_engine,
token={"username": user_name})
if persistent_table_namespace and persistent_table_name:
tracker.log_output_data_info(
data_name=data_name,
table_namespace=persistent_table_namespace,
table_name=persistent_table_name)
output_table_list.append({
"namespace": persistent_table_namespace,
"name": persistent_table_name
})
self.log_output_data_table_tracker(args.job_id, input_table_list,
output_table_list)
# There is only one model output at the current dsl version.
tracker_client.save_component_output_model(
model_buffers=cpn_output.model,
model_alias=task_output_dsl['model'][0]
if task_output_dsl.get('model') else 'default',
user_specified_run_parameters=user_specified_parameters)
if cpn_output.cache is not None:
for i, cache in enumerate(cpn_output.cache):
if cache is None:
continue
name = task_output_dsl.get(
"cache")[i] if "cache" in task_output_dsl else str(i)
if isinstance(cache, DataCache):
tracker.tracking_output_cache(cache, cache_name=name)
elif isinstance(cache, tuple):
tracker.save_output_cache(
cache_data=cache[0],
cache_meta=cache[1],
cache_name=name,
output_storage_engine=job_parameters.
storage_engine,
output_storage_address=job_parameters.
engines_address.get(EngineType.STORAGE, {}),
token={"username": user_name})
else:
raise RuntimeError(
f"can not support type {type(cache)} module run object output cache"
)
if need_run:
self.report_info["party_status"] = TaskStatus.SUCCESS
else:
self.report_info["party_status"] = TaskStatus.PASS
except PassError as e:
self.report_info["party_status"] = TaskStatus.PASS
except Exception as e:
traceback.print_exc()
self.report_info["party_status"] = TaskStatus.FAILED
LOGGER.exception(e)
finally:
try:
self.report_info["end_time"] = current_timestamp()
self.report_info[
"elapsed"] = self.report_info["end_time"] - start_time
self.report_task_info_to_driver()
except Exception as e:
self.report_info["party_status"] = TaskStatus.FAILED
traceback.print_exc()
LOGGER.exception(e)
msg = f"finish {args.component_name} {args.task_id} {args.task_version} on {args.role} {args.party_id} with {self.report_info['party_status']}"
LOGGER.info(msg)
print(msg)
return self.report_info
def run_task(cls, **kwargs):
task_info = {}
try:
job_id, component_name, task_id, task_version, role, party_id, run_ip, config, job_server = cls.get_run_task_args(kwargs)
if job_server:
RuntimeConfig.init_config(JOB_SERVER_HOST=job_server.split(':')[0],
HTTP_PORT=job_server.split(':')[1])
RuntimeConfig.set_process_role(ProcessRole.EXECUTOR)
executor_pid = os.getpid()
task_info.update({
"job_id": job_id,
"component_name": component_name,
"task_id": task_id,
"task_version": task_version,
"role": role,
"party_id": party_id,
"run_ip": run_ip,
"run_pid": executor_pid
})
start_time = current_timestamp()
operation_client = OperationClient()
job_conf = operation_client.get_job_conf(job_id, role)
job_dsl = job_conf["job_dsl_path"]
job_runtime_conf = job_conf["job_runtime_conf_path"]
dsl_parser = schedule_utils.get_job_dsl_parser(dsl=job_dsl,
runtime_conf=job_runtime_conf,
train_runtime_conf=job_conf["train_runtime_conf_path"],
pipeline_dsl=job_conf["pipeline_dsl_path"]
)
party_index = job_runtime_conf["role"][role].index(party_id)
job_args_on_party = TaskExecutor.get_job_args_on_party(dsl_parser, job_runtime_conf, role, party_id)
component = dsl_parser.get_component_info(component_name=component_name)
component_parameters = component.get_role_parameters()
component_parameters_on_party = component_parameters[role][
party_index] if role in component_parameters else {}
module_name = component.get_module()
task_input_dsl = component.get_input()
task_output_dsl = component.get_output()
component_parameters_on_party['output_data_name'] = task_output_dsl.get('data')
json_conf = operation_client.load_json_conf(job_id, config)
user_name = dsl_parser.get_job_parameters().get(role, {}).get(party_id, {}).get("user", '')
schedule_logger(job_id).info(f"user name:{user_name}")
src_user = json_conf.get("src_user")
task_parameters = RunParameters(**json_conf)
job_parameters = task_parameters
if job_parameters.assistant_role:
TaskExecutor.monkey_patch()
job_log_dir = os.path.join(job_utils.get_job_log_directory(job_id=job_id), role, str(party_id))
task_log_dir = os.path.join(job_log_dir, component_name)
log.LoggerFactory.set_directory(directory=task_log_dir, parent_log_dir=job_log_dir,
append_to_parent_log=True, force=True)
tracker = Tracker(job_id=job_id, role=role, party_id=party_id, component_name=component_name,
task_id=task_id,
task_version=task_version,
model_id=job_parameters.model_id,
model_version=job_parameters.model_version,
component_module_name=module_name,
job_parameters=job_parameters)
tracker_client = TrackerClient(job_id=job_id, role=role, party_id=party_id,
component_name=component_name,
task_id=task_id,
task_version=task_version,
model_id=job_parameters.model_id,
model_version=job_parameters.model_version,
component_module_name=module_name,
job_parameters=job_parameters)
run_class_paths = component_parameters_on_party.get('CodePath').split('/')
run_class_package = '.'.join(run_class_paths[:-2]) + '.' + run_class_paths[-2].replace('.py', '')
run_class_name = run_class_paths[-1]
task_info["party_status"] = TaskStatus.RUNNING
cls.report_task_update_to_driver(task_info=task_info)
# init environment, process is shared globally
RuntimeConfig.init_config(WORK_MODE=job_parameters.work_mode,
COMPUTING_ENGINE=job_parameters.computing_engine,
FEDERATION_ENGINE=job_parameters.federation_engine,
FEDERATED_MODE=job_parameters.federated_mode)
if RuntimeConfig.COMPUTING_ENGINE == ComputingEngine.EGGROLL:
session_options = task_parameters.eggroll_run.copy()
else:
session_options = {}
sess = session.Session(computing_type=job_parameters.computing_engine, federation_type=job_parameters.federation_engine)
computing_session_id = job_utils.generate_session_id(task_id, task_version, role, party_id)
sess.init_computing(computing_session_id=computing_session_id, options=session_options)
federation_session_id = job_utils.generate_task_version_id(task_id, task_version)
component_parameters_on_party["job_parameters"] = job_parameters.to_dict()
sess.init_federation(federation_session_id=federation_session_id,
runtime_conf=component_parameters_on_party,
service_conf=job_parameters.engines_address.get(EngineType.FEDERATION, {}))
sess.as_default()
schedule_logger().info('Run {} {} {} {} {} task'.format(job_id, component_name, task_id, role, party_id))
schedule_logger().info("Component parameters on party {}".format(component_parameters_on_party))
schedule_logger().info("Task input dsl {}".format(task_input_dsl))
task_run_args = cls.get_task_run_args(job_id=job_id, role=role, party_id=party_id,
task_id=task_id,
task_version=task_version,
job_args=job_args_on_party,
job_parameters=job_parameters,
task_parameters=task_parameters,
input_dsl=task_input_dsl,
)
if module_name in {"Upload", "Download", "Reader", "Writer"}:
task_run_args["job_parameters"] = job_parameters
run_object = getattr(importlib.import_module(run_class_package), run_class_name)()
run_object.set_tracker(tracker=tracker_client)
run_object.set_task_version_id(task_version_id=job_utils.generate_task_version_id(task_id, task_version))
# add profile logs
profile.profile_start()
run_object.run(component_parameters_on_party, task_run_args)
# profile.profile_ends()
output_data = run_object.save_data()
if not isinstance(output_data, list):
output_data = [output_data]
for index in range(0, len(output_data)):
data_name = task_output_dsl.get('data')[index] if task_output_dsl.get('data') else '{}'.format(index)
persistent_table_namespace, persistent_table_name = tracker.save_output_data(
computing_table=output_data[index],
output_storage_engine=job_parameters.storage_engine,
output_storage_address=job_parameters.engines_address.get(EngineType.STORAGE, {}),
user_name=user_name)
if persistent_table_namespace and persistent_table_name:
tracker.log_output_data_info(data_name=data_name,
table_namespace=persistent_table_namespace,
table_name=persistent_table_name)
output_model = run_object.export_model()
# There is only one model output at the current dsl version.
tracker.save_output_model(output_model,
task_output_dsl['model'][0] if task_output_dsl.get('model') else 'default',
tracker_client=tracker_client)
task_info["party_status"] = TaskStatus.SUCCESS
except Exception as e:
traceback.print_exc()
task_info["party_status"] = TaskStatus.FAILED
schedule_logger().exception(e)
finally:
try:
task_info["end_time"] = current_timestamp()
task_info["elapsed"] = task_info["end_time"] - start_time
cls.report_task_update_to_driver(task_info=task_info)
except Exception as e:
task_info["party_status"] = TaskStatus.FAILED
traceback.print_exc()
schedule_logger().exception(e)
schedule_logger().info(
'task {} {} {} start time: {}'.format(task_id, role, party_id, timestamp_to_date(start_time)))
schedule_logger().info(
'task {} {} {} end time: {}'.format(task_id, role, party_id, timestamp_to_date(task_info["end_time"])))
schedule_logger().info(
'task {} {} {} takes {}s'.format(task_id, role, party_id, int(task_info["elapsed"]) / 1000))
schedule_logger().info(
'Finish {} {} {} {} {} {} task {}'.format(job_id, component_name, task_id, task_version, role, party_id,
task_info["party_status"]))
print('Finish {} {} {} {} {} {} task {}'.format(job_id, component_name, task_id, task_version, role, party_id,
task_info["party_status"]))
return task_info