159 lines
7.8 KiB
Plaintext
159 lines
7.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"题号: 030276 , 字段: ans 中已修改数据: (1) 确定性现象; (2) 随机现象; (3) 确定性现象; (4) 随机现象\n",
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"题号: 009736 , 字段: ans 中已修改数据: $\\Omega = \\{1,2,3,4,5,6\\}$, $A=\\{2,3,4,5,6\\}$, $B=\\{1,3,5\\}$, $C=\\{3,4,5,6\\}$\n",
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"题号: 010539 , 字段: ans 中已修改数据: $\\Omega=\\{W_1B_1,W_1B_2,W_1R_1,W_1R_2,W_1R_3,B_1B_2,B_1R_1,B_1R_2,B_1R_3,B_2R_1,B_2R_2,B_2R_3,R_1R_2,R_1R_3,R_2R_3\\}$, $A=\\{W_1B_1,W_1B_2,W_1R_1,W_1R_2,W_1R_3\\}$, $B=\\{W_1B_1,W_1B_2,B_1B_2,B_1R_1,B_1R_2,B_1R_3,B_2R_1,B_2R_2,B_2R_3\\}$. 或者$\\Omega' = \\{WB,WR,BB,BR,RR\\}$, $A'=\\{WB,WR\\}$, $B'=\\{WB,BB,BR\\}$\n",
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"题号: 000218 , 字段: ans 中已修改数据: $\\dfrac 25$\n",
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"题号: 000219 , 字段: ans 中已修改数据: $\\dfrac 3{10}$\n",
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"题号: 000223 , 字段: ans 中已修改数据: (1) $\\Omega = \\{W_1B_1,W_1B_2,W_2B_1,W_2B_2,W_3B_1,W_3B_2,B_1B_2\\}$; (2) $\\dfrac 3{10}$; (3) $\\dfrac 35$\n",
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"题号: 002662 , 字段: ans 中已修改数据: $\\dfrac 38$\n",
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"题号: 002664 , 字段: ans 中已修改数据: $\\dfrac{16}{33}$\n",
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"题号: 003660 , 字段: ans 中已修改数据: $\\dfrac 15$\n",
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"题号: 010544 , 字段: ans 中已修改数据: B\n",
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"题号: 000227 , 字段: ans 中已修改数据: $\\dfrac 23$\n",
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"题号: 009745 , 字段: ans 中已修改数据: 证明略\n",
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"题号: 010550 , 字段: ans 中已修改数据: $\\dfrac 35$\n",
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"题号: 010540 , 字段: ans 中已修改数据: (1) $\\Omega = \\{BBGG,BGBG,BGGB,GGBB,GBGB,GBBG\\}$等; (2) $A=\\{BGBG,GBGB\\}$等; (3) $B=\\{BGBG,BGGB,GBGB,GBBG\\}$等\n",
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"题号: 010535 , 字段: ans 中已修改数据: (1) 错误; (2) 错误; (3) 正确\n",
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"题号: 000222 , 字段: ans 中已修改数据: $\\dfrac 3{10}$\n",
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"题号: 003585 , 字段: ans 中已修改数据: $\\dfrac 3{10}$\n",
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"题号: 003787 , 字段: ans 中已修改数据: B\n",
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"题号: 004647 , 字段: ans 中已修改数据: $\\dfrac 34$\n",
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"题号: 009349 , 字段: ans 中已修改数据: $\\dfrac 1{28}$, $\\dfrac 37$\n",
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"题号: 000229 , 字段: ans 中已修改数据: $\\dfrac {13}{42}$\n",
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"题号: 009741 , 字段: ans 中已修改数据: $P(A_0)=\\dfrac 13$, $P(A_1)=\\dfrac 12$, $P(A_2)=0$, $P(A_3)=\\dfrac 16$\n",
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"题号: 010545 , 字段: ans 中已修改数据: $0.10$\n",
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"题号: 009744 , 字段: ans 中已修改数据: 证明略\n"
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]
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}
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],
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"source": [
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"import os,re,json\n",
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"\n",
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"\"\"\"---明确数据文件位置---\"\"\"\n",
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"datafile = \"文本文件/metadata.txt\"\n",
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"# 双回车分隔，记录内单回车分隔列表，首行为字段名\n",
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"\"\"\"---文件位置结束---\"\"\"\n",
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"\n",
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"def trim(string):\n",
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" string = re.sub(r\"^[ \\t\\n]*\",\"\",string)\n",
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" string = re.sub(r\"[ \\t\\n]*$\",\"\",string)\n",
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" return string\n",
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"def FloatToInt(string):\n",
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" f = float(string)\n",
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" if abs(f-round(f))<0.01:\n",
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" f = round(f)\n",
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" return f\n",
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"\n",
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"with open(datafile,\"r\",encoding=\"utf8\") as f:\n",
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" data = f.read()\n",
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"pos = data.index(\"\\n\")\n",
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"field = data[:pos].strip()\n",
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"appending_data = data[pos:]\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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"pro_dict = json.loads(database)\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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"#该字段列表可能需要更新\n",
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"fields = [\"content\",\"objs\",\"tags\",\"genre\",\"ans\",\"solution\",\"duration\",\"usages\",\"origin\",\"edit\",\"same\",\"related\",\"remark\",\"space\"]\n",
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"\n",
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"if field in fields:\n",
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" field_type = type(pro_dict[\"000001\"][field])\n",
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" datalist = [record.strip() for record in appending_data.split(\"\\n\\n\") if len(trim(record)) > 0]\n",
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" for record in datalist:\n",
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" id = re.findall(r\"^[\\d]{1,}\",record)[0]\n",
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" data = record[len(id):].strip()\n",
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" id = id.zfill(6)\n",
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" if not id in pro_dict:\n",
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" print(\"题号:\",id,\"不在数据库中.\")\n",
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" break\n",
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" \n",
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" #字符串类型字段添加数据\n",
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" elif field_type == str and data in pro_dict[id][field]:\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",data)\n",
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" elif field_type == str and not data in pro_dict[id][field] and not field == \"ans\" and not field == \"space\":\n",
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" origin_data = pro_dict[id][field]\n",
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" new_data = trim(origin_data + \"\\n\" + data)\n",
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" pro_dict[id][field] = new_data\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",data)\n",
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" elif field_type == str and not data in pro_dict[id][field] and field == \"ans\" or field == \"space\":\n",
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" pro_dict[id][field] = data\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已修改数据:\",data)\n",
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" \n",
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" #数值类型字段添加数据\n",
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" elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])<0.01:\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",FloatToInt(data))\n",
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" elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])>=0.01:\n",
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" pro_dict[id][field] = FloatToInt(data)\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已修改数据:\",FloatToInt(data))\n",
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" \n",
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" #列表类型字段添加数据\n",
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" elif field_type == list:\n",
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" cell_data_list = [d.strip() for d in data.split(\"\\n\")]\n",
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" for cell_data in cell_data_list:\n",
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" if cell_data in pro_dict[id][field]:\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",cell_data)\n",
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" elif not field == \"objs\":\n",
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" pro_dict[id][field].append(cell_data)\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",cell_data)\n",
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" else:\n",
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" if not cell_data in obj_dict and not cell_data.upper() == \"KNONE\":\n",
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" print(\"题号:\",id,\", 字段:\",field,\"目标编号有误:\",cell_data)\n",
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" else:\n",
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" pro_dict[id][field].append(cell_data.upper())\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",cell_data.upper())\n",
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"\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))"
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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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