# Copyright (c) 2025, 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.
import time
from nvflare.apis.fl_context import FLContext
from nvflare.edge.assessor import Assessment
from nvflare.edge.assessors.sgap import SGAPAssessor
[docs]
class CountAssessor(SGAPAssessor):
def __init__(
self,
shareable_generator_id: str,
aggregator_id: str,
persistor_id: str,
min_count: int,
max_count: int,
timeout: float,
):
SGAPAssessor.__init__(self, shareable_generator_id, aggregator_id, persistor_id)
self.min_count = min_count
self.max_count = max_count
self.timeout = timeout
self._start_time = None
[docs]
def start_task(self, fl_ctx: FLContext):
self._start_time = time.time()
return super().start_task(fl_ctx)
[docs]
def end_task(self, fl_ctx: FLContext):
super().end_task(fl_ctx)
self._start_time = None
[docs]
def do_assessment(self, fl_ctx: FLContext) -> Assessment:
if time.time() - self._start_time > self.timeout:
return Assessment.TASK_DONE
# have we got enough count
count = self.aggregator.get_count()
if count < self.min_count:
return Assessment.CONTINUE
elif count >= self.max_count:
self.logger.info(f"Got {count} items (>= max {self.max_count}) - WF Done!")
return Assessment.WORKFLOW_DONE
else:
self.logger.info(f"Got {count} items (>= min {self.min_count}) - TASK Done!")
return Assessment.TASK_DONE