#!python
# _*_ coding=utf-8 _*_

import argparse
import code
import readline
import signal
import sys
import pandas as pd
import numpy as np
import json
import os
import urllib3
import time
from keras.models import Sequential
from keras.layers import Activation, Dense
from keras.layers import LSTM
from keras.layers import Dropout
from keras.models import load_model


def SigHandler_SIGINT(signum, frame):
    print()
    sys.exit(0)


class Argparser(object):
    def __init__(self):
        parser = argparse.ArgumentParser()
        parser.add_argument("--string", type=str, help="string")
        parser.add_argument(
            "--bool", action="store_true", help="bool", default=False
        )
        parser.add_argument(
            "--dbg", action="store_true", help="debug", default=False
        )
        self.args = parser.parse_args()


def build_model(train_data):
    model = models.Sequential()
    model.add(
        layers.Dense(64, activation="relu", input_shape=(train_data.shape[1],))
    )
    model.add(layers.Dense(64, activation="relu"))
    model.add(layers.Dense(1))
    model.compile(optimizer="rmsprop", loss="mse", metrics=["acc"])
    return model


# write code here
def premain(argparser):
    signal.signal(signal.SIGINT, SigHandler_SIGINT)
    # here


def main():
    argparser = Argparser()
    if argparser.args.dbg:
        try:
            premain(argparser)
        except Exception as e:
            print(e.__doc__)
            if e.message:
                print(e.message)
            variables = globals().copy()
            variables.update(locals())
            shell = code.InteractiveConsole(variables)
            shell.interact(banner="DEBUG REPL")
    else:
        premain(argparser)


if __name__ == "__main__":
    main()