{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os, sys, copy, argparse\n",
    "import json\n",
    "import sumolib, traci\n",
    "from tqdm import tqdm\n",
    "from datetime import datetime\n",
    "path_root = os.path.dirname(os.path.dirname(os.path.abspath('.')))\n",
    "path_scr = os.path.join(path_root, 'scripts')\n",
    "sys.path.append(path_scr)\n",
    "from preprocess_daily import DailyPreprocessor\n",
    "from generate_signals import SignalGenerator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1. 데이터를 로드합니다.\n"
     ]
    }
   ],
   "source": [
    "self = DailyPreprocessor(config_name='test_0721')\n",
    "self.main()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "self = SignalGenerator(config_name='test_0721', month=7, day=22, hour=9, minute=25, second=0)\n",
    "self.main()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "siggen",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}