# Copyright (c) 2021 PaddlePaddle Authors. 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 logging
import os
import sys


class AverageMeter(object):
    """Computes and stores the average and current value
    """

    def __init__(self):
        self.val = None
        self.avg = None
        self.sum = None
        self.count = None
        self.reset()

    def reset(self):
        self.val = 0
        self.avg = 0
        self.sum = 0
        self.count = 0

    def update(self, val, n=1):
        self.val = val
        self.sum += val * n
        self.count += n
        self.avg = self.sum / self.count


def init_logging(log_root, rank, models_root):
    if rank is 0:
        log_root.setLevel(logging.INFO)
        formatter = logging.Formatter("Training: %(asctime)s-%(message)s")
        handler_file = logging.FileHandler(
            os.path.join(models_root, "training.log"))
        handler_stream = logging.StreamHandler(sys.stdout)
        handler_file.setFormatter(formatter)
        handler_stream.setFormatter(formatter)
        log_root.addHandler(handler_file)
        log_root.addHandler(handler_stream)
        log_root.info('rank_id: %d' % rank)