152 lines
3.1 KiB
Plaintext
152 lines
3.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 41,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os,re,json\n",
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"\n",
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"\"\"\"---设置原题目id与新题目id---\"\"\"\n",
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"old_id = \"1387\"\n",
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"new_id = \"30015\"\n",
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"\"\"\"---设置完毕---\"\"\"\n",
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"\n",
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"old_id = old_id.zfill(6)\n",
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"new_id = new_id.zfill(6)\n",
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"\n",
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"with open(r\"../题库0.3/Problems.json\",\"r\",encoding = \"utf8\") as f:\n",
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" database = f.read()\n",
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"\n",
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"pro_dict = json.loads(database)\n",
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"if new_id in pro_dict:\n",
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" print(\"该ID已被使用.\")\n",
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"else:\n",
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" pro_dict[new_id] = {}\n",
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" for field in pro_dict[old_id]:\n",
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" if not field == \"id\":\n",
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" pro_dict[new_id][field] = pro_dict[old_id][field] if not type(pro_dict[old_id][field]) == list else pro_dict[old_id][field].copy()\n",
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" else:\n",
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" pro_dict[new_id][field] = new_id\n",
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" pro_dict[new_id][\"related\"].append(old_id)\n",
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" pro_dict[old_id][\"related\"].append(new_id)\n",
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" with open(r\"../题库0.3/Problems.json\",\"w\",encoding = \"utf8\") as f:\n",
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" f.write(json.dumps(pro_dict,indent = 4,ensure_ascii= False))\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 51,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"False"
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]
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},
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"execution_count": 51,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"type(pro_dict[old_id][field]) == \"list\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 46,
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"metadata": {},
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"outputs": [],
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"source": [
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"a = [1,2]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 54,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"True"
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]
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},
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"execution_count": 54,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"type(a) == list"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 48,
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"metadata": {},
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"outputs": [],
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"source": [
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"a.append(3)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 49,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[1, 2]"
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]
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},
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"execution_count": 49,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"b"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.8.8 ('base')",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "d311ffef239beb3b8f3764271728f3972d7b090c974f8e972fcdeedf230299ac"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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