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   "cell_type": "code",
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     "text": [
      "题号: 012096 , 字段: ans 中已修改数据: $\\{-1,0\\}$\n",
      "题号: 012097 , 字段: ans 中已修改数据: $2$\n",
      "题号: 012098 , 字段: ans 中已修改数据: $(1,-2,-3)$\n",
      "题号: 012099 , 字段: ans 中已修改数据: $3$\n",
      "题号: 012100 , 字段: ans 中已修改数据: $69$\n",
      "题号: 012101 , 字段: ans 中已修改数据: $-\\dfrac 43$\n",
      "题号: 012102 , 字段: ans 中已修改数据: $\\dfrac 12$\n",
      "题号: 012103 , 字段: ans 中已修改数据: $\\dfrac\\pi 6$或$\\dfrac{5\\pi}6$\n",
      "题号: 012104 , 字段: ans 中已修改数据: $(-3,-1)\\cup (0,1)$\n",
      "题号: 012105 , 字段: ans 中已修改数据: $\\dfrac 6{25}$\n",
      "题号: 012106 , 字段: ans 中已修改数据: $\\sqrt{3}$\n",
      "题号: 012107 , 字段: ans 中已修改数据: $(-1,1-\\sqrt{3}]$\n",
      "题号: 012108 , 字段: ans 中已修改数据: B\n",
      "题号: 012109 , 字段: ans 中已修改数据: D\n",
      "题号: 012110 , 字段: ans 中已修改数据: C\n",
      "题号: 012111 , 字段: ans 中已修改数据: C\n",
      "题号: 012112 , 字段: ans 中已修改数据: (1) 公差为$3$; (2) $a_1$的所有可能的值为$18,19,20$\n",
      "题号: 012113 , 字段: ans 中已修改数据: (1) 证明略; (2) $\\dfrac 13$\n",
      "题号: 012114 , 字段: ans 中已修改数据: (1) (示例)王先生可能需要考虑的因素有:\\\\\n",
      "\\textcircled{1} 未来月租金的变化;\\\\\n",
      "\\textcircled{2} 找到承租人的时长的变化;\\\\\n",
      "\\textcircled{3} 未来租客的租期长短;\\\\\n",
      "\\textcircled{4} 房屋是否未来三年内可以用于出租;\\\\\n",
      "\\textcircled{5} 换租客的过程中是否需要重新装修;\n",
      "\\textcircled{6} 寻租过程中的时间、精力成本等.\\\\\n",
      "(2) 言之有理即可\n",
      "题号: 012115 , 字段: ans 中已修改数据: (1) $y=x+1$; (2) 面积的最大值为$2$, 此时$l:y=0$; (3) 当$\\delta_{F_1}\\cdot \\delta_{F_2}>b^2$($=b^2$, $<b^2$)时, $l$与$\\Gamma$无公共点(恰有一个公共点, 恰有两个公共点), 证明略\n",
      "题号: 012116 , 字段: ans 中已修改数据: (1) $[-1,3]$; (2) $0$; (3) $\\dfrac 12$与$\\dfrac 32$\n"
     ]
    }
   ],
   "source": [
    "import os,re,json\n",
    "\n",
    "\"\"\"---明确数据文件位置---\"\"\"\n",
    "datafile = \"文本文件/metadata.txt\"\n",
    "# 双回车分隔，记录内单回车分隔列表，首行为字段名\n",
    "\"\"\"---文件位置结束---\"\"\"\n",
    "\n",
    "def trim(string):\n",
    "    string = re.sub(r\"^[ \\t\\n]*\",\"\",string)\n",
    "    string = re.sub(r\"[ \\t\\n]*$\",\"\",string)\n",
    "    return string\n",
    "def FloatToInt(string):\n",
    "    f = float(string)\n",
    "    if abs(f-round(f))<0.01:\n",
    "        f = round(f)\n",
    "    return f\n",
    "\n",
    "with open(datafile,\"r\",encoding=\"utf8\") as f:\n",
    "    data = f.read()\n",
    "pos = data.index(\"\\n\")\n",
    "field = data[:pos].strip()\n",
    "appending_data = data[pos:]\n",
    "\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",
    "with open(r\"../题库0.3/LessonObj.json\",\"r\",encoding = \"utf8\") as f:\n",
    "    database = f.read()\n",
    "obj_dict = json.loads(database)\n",
    "\n",
    "#该字段列表可能需要更新\n",
    "fields = [\"content\",\"objs\",\"tags\",\"genre\",\"ans\",\"solution\",\"duration\",\"usages\",\"origin\",\"edit\",\"same\",\"related\",\"remark\",\"space\"]\n",
    "\n",
    "if field in fields:\n",
    "    field_type = type(pro_dict[\"000001\"][field])\n",
    "    datalist = [record.strip() for record in appending_data.split(\"\\n\\n\") if len(trim(record)) > 0]\n",
    "    for record in datalist:\n",
    "        id = re.findall(r\"^[\\d]{1,}\",record)[0]\n",
    "        data = record[len(id):].strip()\n",
    "        id = id.zfill(6)\n",
    "        if not id in pro_dict:\n",
    "            print(\"题号:\",id,\"不在数据库中.\")\n",
    "            break\n",
    "        \n",
    "        #字符串类型字段添加数据\n",
    "        elif field_type == str and data in pro_dict[id][field]:\n",
    "            print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",data)\n",
    "        elif field_type == str and not data in pro_dict[id][field] and not field == \"ans\" and not field == \"space\":\n",
    "            origin_data = pro_dict[id][field]\n",
    "            new_data = trim(origin_data + \"\\n\" + data)\n",
    "            pro_dict[id][field] = new_data\n",
    "            print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",data)\n",
    "        elif field_type == str and not data in pro_dict[id][field] and field == \"ans\" or field == \"space\":\n",
    "            pro_dict[id][field] = data\n",
    "            print(\"题号:\",id,\", 字段:\",field,\"中已修改数据:\",data)\n",
    "        \n",
    "        #数值类型字段添加数据\n",
    "        elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])<0.01:\n",
    "            print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",FloatToInt(data))\n",
    "        elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])>=0.01:\n",
    "            pro_dict[id][field] = FloatToInt(data)\n",
    "            print(\"题号:\",id,\", 字段:\",field,\"中已修改数据:\",FloatToInt(data))\n",
    "        \n",
    "        #列表类型字段添加数据\n",
    "        elif field_type == list:\n",
    "            cell_data_list = [d.strip() for d in data.split(\"\\n\")]\n",
    "            for cell_data in cell_data_list:\n",
    "                if cell_data in pro_dict[id][field]:\n",
    "                    print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",cell_data)\n",
    "                elif not field == \"objs\":\n",
    "                    pro_dict[id][field].append(cell_data)\n",
    "                    print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",cell_data)\n",
    "                else:\n",
    "                    if not cell_data in obj_dict and not cell_data.upper() == \"KNONE\":\n",
    "                        print(\"题号:\",id,\", 字段:\",field,\"目标编号有误:\",cell_data)\n",
    "                    else:\n",
    "                        pro_dict[id][field].append(cell_data.upper())\n",
    "                        print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",cell_data.upper())\n",
    "\n",
    "with open(r\"../题库0.3/Problems.json\",\"w\",encoding = \"utf8\") as f:\n",
    "    f.write(json.dumps(pro_dict,indent=4,ensure_ascii=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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