# !/usr/bin/env python3
# Copyright (c) 2020 Institute for Quantum Computing, Baidu Inc. 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.

r"""
Power Flow Model
"""

import argparse
import os
import warnings

warnings.filterwarnings('ignore')
os.environ['PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION'] = 'python'

import toml
import logging
import numpy as np
from paddle_quantum.data_analysis.power_flow import data_to_Grid

if __name__ == '__main__':
    parser = argparse.ArgumentParser(description="Solve power flow problem.")
    parser.add_argument("--config", type=str, help="Input the config file with toml format.")
    args = parser.parse_args()
    config = toml.load(args.config)
    file_name = config.pop('data_dir')

    grid = data_to_Grid(file_name)
    grid.powerflow(**config)
    print("Here is the power flow results:")
    grid.printResults()
    Error = grid.tolerances[-1] 
    print(f"Error is: {Error}")
    logging.basicConfig(
        filename='./power_flow.log',
        filemode='w',
        format='%(asctime)s %(levelname)s %(message)s',
        level=logging.INFO
    )
    msg = f"Error is: {Error}"
    logging.info(msg)
    grid.saveResults()

    