{
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    {
     "name": "stdout",
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     "text": [
      "题号: 004548 , 字段: objs 中已添加数据: K0309001B\n",
      "题号: 003092 , 字段: objs 中已添加数据: K0309003B\n",
      "题号: 003094 , 字段: objs 中已添加数据: K0309003B\n",
      "题号: 003101 , 字段: objs 中已添加数据: K0309003B\n",
      "题号: 003102 , 字段: objs 中已添加数据: K0309003B\n",
      "题号: 006100 , 字段: objs 中已添加数据: K0309003B\n",
      "题号: 006115 , 字段: objs 中已添加数据: K0309003B\n",
      "题号: 006116 , 字段: objs 中已添加数据: K0309003B\n",
      "题号: 006117 , 字段: objs 中已添加数据: K0309003B\n",
      "题号: 006120 , 字段: objs 中已添加数据: K0309003B\n",
      "题号: 006123 , 字段: objs 中已添加数据: K0309003B\n",
      "题号: 006125 , 字段: objs 中已添加数据: K0309003B\n",
      "题号: 006126 , 字段: objs 中已添加数据: K0309003B\n",
      "题号: 006128 , 字段: objs 中已添加数据: K0309003B\n",
      "题号: 006138 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006145 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 003095 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 003096 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 003097 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 003098 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 003099 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 003100 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 003103 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 003104 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 003105 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 003107 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 003108 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006101 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006104 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006124 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006129 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006146 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006147 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006148 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006149 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006152 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006153 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006154 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006155 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006156 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006157 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006158 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006159 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006162 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006163 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006164 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006165 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006166 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006167 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006168 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006169 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006170 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006171 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006172 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006173 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006174 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006175 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006176 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006191 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006232 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 006257 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 008176 , 字段: objs 中已添加数据: K0310002B\n",
      "题号: 003093 , 字段: objs 中已添加数据: K0311002B\n",
      "题号: 004681 , 字段: objs 中已添加数据: K0311002B\n",
      "题号: 005086 , 字段: objs 中已有该数据: K0311002B\n",
      "题号: 006177 , 字段: objs 中已添加数据: K0311002B\n",
      "题号: 008169 , 字段: objs 中已添加数据: K0311002B\n",
      "题号: 008170 , 字段: objs 中已添加数据: K0311002B\n",
      "题号: 010251 , 字段: objs 中已添加数据: K0311002B\n",
      "题号: 009572 , 字段: objs 中已添加数据: K0311002B\n",
      "题号: 003112 , 字段: objs 中已添加数据: K0312003B\n",
      "题号: 003113 , 字段: objs 中已添加数据: K0312003B\n",
      "题号: 003114 , 字段: objs 中已添加数据: K0312003B\n",
      "题号: 003115 , 字段: objs 中已添加数据: K0312003B\n",
      "题号: 003117 , 字段: objs 中已添加数据: K0312003B\n",
      "题号: 003125 , 字段: objs 中已添加数据: K0312003B\n",
      "题号: 003126 , 字段: objs 中已添加数据: K0312003B\n",
      "题号: 003127 , 字段: objs 中已添加数据: K0312003B\n",
      "题号: 006190 , 字段: objs 中已添加数据: K0312003B\n",
      "题号: 006214 , 字段: objs 中已添加数据: K0312003B\n",
      "题号: 008385 , 字段: objs 中已添加数据: K0312003B\n",
      "题号: 008168 , 字段: objs 中已添加数据: K0313002B\n",
      "题号: 006286 , 字段: objs 中已添加数据: K0313003B\n",
      "题号: 006288 , 字段: objs 中已添加数据: K0313003B\n"
     ]
    }
   ],
   "source": [
    "import os,re,json\n",
    "\n",
    "\"\"\"---明确数据文件位置---\"\"\"\n",
    "datafile = \"临时文件/关联目标.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\":\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\":\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",
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   "metadata": {},
   "outputs": [],
   "source": []
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