{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "012487 填空题\n",
      "012488 填空题\n",
      "012489 填空题\n",
      "012490 填空题\n",
      "012491 填空题\n",
      "012492 填空题\n",
      "012493 填空题\n",
      "012494 填空题\n",
      "012495 填空题\n",
      "012496 填空题\n",
      "012497 填空题\n",
      "012498 填空题\n",
      "012499 选择题\n",
      "012500 选择题\n",
      "012501 选择题\n",
      "012502 选择题\n",
      "012503 解答题\n",
      "012504 解答题\n",
      "012505 解答题\n",
      "012506 解答题\n",
      "012507 解答题\n"
     ]
    }
   ],
   "source": [
    "import os,re,json\n",
    "\n",
    "# 读取数据库并转成题目字典\n",
    "with open(r\"../题库0.3/Problems.json\",\"r\",encoding = \"utf8\") as f:\n",
    "    database = f.read()\n",
    "pro_dict = json.loads(database)\n",
    "\n",
    "#根据特征字符识别题目类型\n",
    "for p in pro_dict:\n",
    "    if pro_dict[p][\"genre\"] == \"\":\n",
    "        if \"bracket\" in pro_dict[p][\"content\"]:\n",
    "            pro_dict[p][\"genre\"] = \"选择题\"\n",
    "            print(p,\"选择题\")\n",
    "        elif \"blank\" in pro_dict[p][\"content\"]:\n",
    "            pro_dict[p][\"genre\"] = \"填空题\"\n",
    "            print(p,\"填空题\")\n",
    "        else:\n",
    "            pro_dict[p][\"genre\"] = \"解答题\"\n",
    "            pro_dict[p][\"space\"] = \"12ex\"\n",
    "            print(p,\"解答题\")\n",
    "\n",
    "#将修改结果写入json数据库\n",
    "database = json.dumps(pro_dict,indent = 4, ensure_ascii= False)\n",
    "with open(r\"../题库0.3/Problems.json\",\"w\",encoding = \"utf8\") as f:\n",
    "    f.write(database)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.15 ('pythontest')",
   "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": "3.9.15"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "91219a98e0e9be72efb992f647fe78b593124968b75db0b865552d6787c8db93"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}