100 lines
2.2 KiB
Plaintext
100 lines
2.2 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 1,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"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",
|
|
" elif \"blank\" in pro_dict[p][\"content\"]:\n",
|
|
" pro_dict[p][\"genre\"] = \"填空题\"\n",
|
|
" else:\n",
|
|
" pro_dict[p][\"genre\"] = \"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": 2,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"count = 0\n",
|
|
"for id in pro_dict:\n",
|
|
" if pro_dict[id][\"genre\"] == \"\":\n",
|
|
" count += 1"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 3,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"0"
|
|
]
|
|
},
|
|
"execution_count": 3,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"count"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3.8.8 ('base')",
|
|
"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": "3.8.8"
|
|
},
|
|
"orig_nbformat": 4,
|
|
"vscode": {
|
|
"interpreter": {
|
|
"hash": "d311ffef239beb3b8f3764271728f3972d7b090c974f8e972fcdeedf230299ac"
|
|
}
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|