{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "题号: 003400 , 字段: ans 中已修改数据: $(4,5)$\n", "题号: 002329 , 字段: ans 中已修改数据: $\\dfrac{y^2}{25}+\\dfrac{x^2}{16}=1$或$\\dfrac{x^2}{25}+\\dfrac{y^2}{9}=1$\n", "题号: 008873 , 字段: ans 中已修改数据: (1) $\\dfrac{x^2}{100}+\\dfrac{y^2}{64}=1$; (2) $\\dfrac{x^2}{6}+\\dfrac{y^2}{4}=1$; (3) $\\dfrac{x^2}8+\\dfrac{y^2}4=1$或$\\dfrac{y^2}8+\\dfrac{x^2}4=1$\n", "题号: 002342 , 字段: ans 中已修改数据: $\\sqrt{3}-1$\n", "题号: 010673 , 字段: ans 中已修改数据: $\\dfrac{x^2}{5.9^2}+\\dfrac{y^2}{5.8^2}=1$(以$1\\times 10^8\\text{km}$为单位)\n", "题号: 002325 , 字段: ans 中已修改数据: $2x+4y-3=0$\n", "题号: 004717 , 字段: ans 中已修改数据: B\n", "题号: 002348 , 字段: ans 中已修改数据: $(-\\sqrt{5},0)$或$(\\sqrt{5},0)$\n", "题号: 009985 , 字段: ans 中已修改数据: $6$\n", "题号: 009830 , 字段: ans 中已修改数据: A\n", "题号: 009832 , 字段: ans 中已修改数据: (1) $\\dfrac{x^2}{25}-\\dfrac{y^2}{3}=1$; (2) $\\dfrac{x^2}{16}-\\dfrac{y^2}9=1$\n", "题号: 002372 , 字段: ans 中已修改数据: $\\dfrac{x^2}{64/9}-\\dfrac{y^2}4=1$\n", "题号: 003431 , 字段: ans 中已修改数据: $3$\n", "题号: 008952 , 字段: ans 中已修改数据: 斜率为$2$, 但是判别式小于零, 故直线不存在.\n", "题号: 007380 , 字段: ans 中已修改数据: C\n", "题号: 003666 , 字段: ans 中已修改数据: D\n", "题号: 007455 , 字段: ans 中已修改数据: $120$\n", "题号: 007502 , 字段: ans 中已修改数据: $20$\n", "题号: 007521 , 字段: ans 中已修改数据: $2520$\n", "题号: 010861 , 字段: ans 中已修改数据: $24$\n", "题号: 009333 , 字段: ans 中已修改数据: $375$\n", "题号: 007673 , 字段: ans 中已修改数据: $78120$\n", "题号: 002537 , 字段: ans 中已修改数据: $3720$\n", "题号: 002586 , 字段: ans 中已修改数据: $45213$, $88$\n", "题号: 007432 , 字段: ans 中已修改数据: (1) $72$; (2) $72$; (3) $72$\n", "题号: 002563 , 字段: ans 中已修改数据: $1-\\dfrac{1}{(n+1)!}$\n", "题号: 009262 , 字段: ans 中已修改数据: (1) $6$; (2) $5$; (3) $4$\n", "题号: 007476 , 字段: ans 中已修改数据: $3$或$6$\n", "题号: 007494 , 字段: ans 中已修改数据: 证明略\n", "题号: 003640 , 字段: ans 中已修改数据: $\\dfrac{27}{100}$\n", "题号: 009351 , 字段: ans 中已修改数据: $\\dfrac{11}{21}$\n", "题号: 003574 , 字段: ans 中已修改数据: $0.985$\n" ] } ], "source": [ "import os,re,json\n", "\n", "\"\"\"---明确数据文件位置---\"\"\"\n", "datafile = \"文本文件/metadata.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 3.8.15 ('mathdept')", "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": "3.8.15" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "42dd566da87765ddbe9b5c5b483063747fec4aacc5469ad554706e4b742e67b2" } } }, "nbformat": 4, "nbformat_minor": 2 }