# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from nvflare.app_common.abstract.fl_model import FLModel
from nvflare.app_common.workflows.model_controller import ModelController
from nvflare.security.logging import secure_format_traceback
[docs]
class CmdTaskController(ModelController):
def __init__(self, task_name: str = "cmd_task", *args, **kwargs):
super().__init__(*args, **kwargs)
self.task_name = task_name
[docs]
def run(self):
self.info(f"{self.task_name} task started.")
try:
# use FLModel structure, add empty model
task = FLModel(params={"task_name": self.task_name}, meta={"status": "request"})
clients = self.sample_clients()
results = self.send_task_and_wait(task_name=self.task_name, targets=clients, data=task)
self.info("Finished etl.")
except Exception as ex:
msg = secure_format_traceback()
self.panic(f"task {self.task_name} failed with exception {msg}")
raise ex
[docs]
def send_task_and_wait(self, task_name, targets, data):
return self.send_model_and_wait(task_name=task_name, targets=targets, data=data)