Source code for nvflare.app_common.np.np_formatter

# Copyright (c) 2022, 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.apis.dxo import DataKind, from_file
from nvflare.apis.fl_context import FLContext
from nvflare.app_common.abstract.formatter import Formatter
from nvflare.app_common.app_constant import AppConstants
from nvflare.security.logging import secure_format_exception


[docs]class NPFormatter(Formatter): def __init__(self) -> None: super().__init__()
[docs] def format(self, fl_ctx: FLContext) -> str: """The format function gets validation shareable locations from the dictionary. It loads each shareable, get the validation results and converts it into human-readable string. Args: fl_ctx (FLContext): FLContext object. Returns: str: Human readable validation results. """ # Get the val shareables validation_shareables_dict = fl_ctx.get_prop(AppConstants.VALIDATION_RESULT, {}) # Result dictionary res = {} try: # This is a 2d dictionary with each validation result at # validation_shareables_dict[data_client][model_client] for data_client in validation_shareables_dict.keys(): validation_dict = validation_shareables_dict[data_client] if validation_dict: res[data_client] = {} for model_name in validation_dict.keys(): # Load the shareable dxo_path = validation_dict[model_name] metric_dxo = from_file(dxo_path) # Get metrics from shareable if metric_dxo and metric_dxo.data_kind == DataKind.METRICS: metrics = metric_dxo.data res[data_client][model_name] = metrics except Exception as e: self.log_error(fl_ctx, f"Exception: {secure_format_exception(e)}") return f"{res}"