129 lines
4.4 KiB
Plaintext
129 lines
4.4 KiB
Plaintext
{
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"cells": [
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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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"import os,re,json\n",
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"\n",
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"#读取题库json文件并转化为字典\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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"pro_dict = json.loads(database)\n",
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"\n",
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"#读取目标数据库json并转化为字典\n",
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"with open(r\"../题库0.3/LessonObj.json\",\"r\",encoding = \"utf8\") as f:\n",
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" database = f.read()\n",
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"obj_dict = json.loads(database)\n",
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"\n",
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"#以下是单元题目统计\n",
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"tags_descr = [\"第一单元\",\"第二单元\",\"第三单元\",\"第四单元\",\"第五单元\",\"第六单元\",\"第七单元\",\"第八单元\",\"第九单元\",\"暂无对应\"] \n",
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"tags_dict = {}\n",
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"units_string = \"\"\n",
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"for t in tags_descr:\n",
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" tags_dict[t] = [0,\"\"]\n",
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"for p in pro_dict:\n",
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" for t in tags_descr:\n",
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" if t in pro_dict[p][\"tags\"]:\n",
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" tags_dict[t][0] += 1\n",
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" tags_dict[t][1] += p + \",\"\n",
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"#units_string是简要列表, tags_dict是详细清单\n",
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"for t in tags_descr:\n",
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" units_string += t + \": \" + str(tags_dict[t][0]) + \"\\n\" \n",
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"#单元统计完成\n",
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"\n",
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"#以下是课时题目统计\n",
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"#生成单元课时列表(Kddll)\n",
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"lessons_descr = [] \n",
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"for o in obj_dict:\n",
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" if not o[:5] in lessons_descr:\n",
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" lessons_descr.append(o[:5])\n",
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"lessons_dict = {}\n",
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"lessons_string = \"\"\n",
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"for l in lessons_descr:\n",
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" lessons_dict[l] = [0,\"\"]\n",
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"for p in pro_dict:\n",
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" for l in lessons_descr:\n",
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" for o in pro_dict[p][\"objs\"]:\n",
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" if l in o:\n",
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" lessons_dict[l][0] += 1\n",
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" lessons_dict[l][1] += p + \",\"\n",
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" break\n",
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"#lessons_string是简要列表, lessons_dict是详细清单\n",
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"for l in lessons_descr:\n",
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" lessons_string += l + \": \" + str(lessons_dict[l][0]) + \"\\n\" \n",
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"#课时统计完成\n",
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"\n",
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"#以下是目标题目统计\n",
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"objs_dict = {}\n",
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"objs_string = \"\"\n",
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"for o in obj_dict:\n",
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" objs_dict[o] = [0,\"\"]\n",
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"for p in pro_dict:\n",
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" for o in obj_dict:\n",
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" if o in pro_dict[p][\"objs\"]:\n",
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" objs_dict[o][0] += 1\n",
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" objs_dict[o][1] += p + \",\"\n",
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"# objs_string是简要列表, objs_dict是详细清单\n",
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"for o in obj_dict:\n",
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" objs_string += o + \": \" + str(objs_dict[o][0]) + \"\\n\" \n",
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"#课时统计完成\n",
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"\n",
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"#以下为清点结果输出\n",
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"with open(r\"临时文件\\单元课时目标题目数据清点结果.txt\",\"w\",encoding = \"utf8\") as f:\n",
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" f.write(\"---单元清点结果---\\n\")\n",
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" f.write(units_string)\n",
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" f.write(\"\\n---课时清点结果---\\n\")\n",
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" f.write(lessons_string)\n",
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" f.write(\"\\n---目标清点结果---\\n\")\n",
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" f.write(objs_string)\n",
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" f.write(\"\\n\"*10)\n",
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" f.write(\"---单元详细清点结果数据库---\\n\")\n",
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" f.write(json.dumps(tags_dict,indent = 4,ensure_ascii = False))\n",
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" f.write(\"\\n\"*5+\"---课时详细清点结果数据库---\\n\")\n",
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" f.write(json.dumps(lessons_dict,indent = 4,ensure_ascii = False))\n",
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" f.write(\"\\n\"*5+\"---目标详细清点结果数据库---\\n\")\n",
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" f.write(json.dumps(objs_dict,indent = 4,ensure_ascii = False))\n",
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"\n",
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"print(\"已输出至文件\",r\"临时文件\\单元课时目标题目数据清点结果.txt\")"
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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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