# Copyright (c) 2020 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 argparse
from paddle_fl.paddle_fl.core.scheduler.agent_master import FLScheduler


def parse_args():
    parser = argparse.ArgumentParser(description="scheduler")
    parser.add_argument(
        '--trainer_num',
        type=int,
        default=2,
        help='number trainers(default: 2)')

    return parser.parse_args()


args = parse_args()
num_trainer = args.trainer_num
worker_num = num_trainer
server_num = 1
# Define the number of worker/server and the port for scheduler
scheduler = FLScheduler(worker_num, server_num, port=9091)
scheduler.set_sample_worker_num(worker_num)
scheduler.init_env()
print("init env done.")
scheduler.start_fl_training()
