{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "题号: 001339 , 字段: remark 中已添加数据: 可能是因为没有复习过, 学生做得比想象得差.\n", "题号: 002859 , 字段: remark 中已添加数据: 学生很少会从定义域出发去考虑奇偶性问题,考虑定义域的学生中还有一部分是说``因为定义域关于原点对称,所以$b=1$''.\n", "题号: 011131 , 字段: remark 中已添加数据: 最值能够取到学生还是有一些不写(周双表示都扣了4分).\n", "题号: 002968 , 字段: remark 中已添加数据: 第(2)小题学生极少能关注到定义域.\n", "题号: 003884 , 字段: remark 中已添加数据: 有点抽象, 反例难举.\n", "题号: 001221 , 字段: remark 中已添加数据: 第(3)小题有学生未考虑定义域,有学生在化简过程中出现了分母为$x$.\n", "题号: 009517 , 字段: remark 中已添加数据: 学生举不来反例, 有的只考虑了$f(0)$,$f(1)$,$f(2)$的值. 还有一些长篇大论不举反例的.\n", "题号: 001331 , 字段: remark 中已添加数据: 太难了,不适合作为第一轮讲义的题目. 太难了,不适合作为第一轮讲义的题目. 太难了,不适合作为第一轮讲义的题目.\n", "题号: 009522 , 字段: remark 中已添加数据: 第(2)小题学生很多不会分三种情况讨论. 第(1)小题有些学生把自变量取在$(-3,0]$.\n", "题号: 002884 , 字段: remark 中已添加数据: 少数学生不能分辨``定义域上单调''和``分若干个区间单调''.\n", "题号: 004265 , 字段: remark 中已添加数据: 第(2)小题有点难, 用分离变量和二次函数讨论做对的都有, 但是对面上太难了.\n", "题号: 010197 , 字段: remark 中已添加数据: 可能需要加一个``用函数观点求解''\n", "题号: 003013 , 字段: remark 中已添加数据: 许多学生的答案是开区间, 可能是用了零点存在定理.\n", "题号: 000555 , 字段: remark 中已添加数据: 题目非常难, 通过同样题目的测验确定讲解是否有效.\n", "题号: 001227 , 字段: remark 中已添加数据: 学生有些未想到求导, 瞎猜的答案.\n" ] } ], "source": [ "import os,re,json\n", "\n", "\"\"\"---明确数据文件位置---\"\"\"\n", "datafile = \"临时文件/字段数据.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\" and not field == \"space\":\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\" or field == \"space\":\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", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3.9.7 ('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": "3.9.7" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "e4cce46d6be9934fbd27f9ca0432556941ea5bdf741d4f4d64c6cd7f8dfa8fba" } } }, "nbformat": 4, "nbformat_minor": 2 }