{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "题号: 012487 , 字段: ans 中已修改数据: 真\n", "题号: 012488 , 字段: ans 中已修改数据: $[0,1]$\n", "题号: 012489 , 字段: ans 中已修改数据: $6$\n", "题号: 012490 , 字段: ans 中已修改数据: $\\dfrac\\pi 6$或$\\dfrac{5\\pi}6$\n", "题号: 012491 , 字段: ans 中已修改数据: $2$\n", "题号: 012492 , 字段: ans 中已修改数据: $(3,0)$\n", "题号: 012493 , 字段: ans 中已修改数据: $12$\n", "题号: 012494 , 字段: ans 中已修改数据: $\\dfrac 54$或$\\dfrac 53$\n", "题号: 012495 , 字段: ans 中已修改数据: $4+2\\sqrt{3}$\n", "题号: 012496 , 字段: ans 中已修改数据: $243$\n", "题号: 012497 , 字段: ans 中已修改数据: $2018$\n", "题号: 012498 , 字段: ans 中已修改数据: $(-\\dfrac 34,0)$\n", "题号: 012499 , 字段: ans 中已修改数据: C\n", "题号: 012500 , 字段: ans 中已修改数据: D\n", "题号: 012501 , 字段: ans 中已修改数据: A\n", "题号: 012502 , 字段: ans 中已修改数据: B\n", "题号: 012503 , 字段: ans 中已修改数据: (1) $\\dfrac{2\\pi}3$; (2) $\\sqrt{3}$\n", "题号: 012504 , 字段: ans 中已修改数据: (1) $4\\sqrt{2}\\pi$; (2) 证明略, 角的大小为$\\arccos\\dfrac{7\\sqrt{5}}{20}$\n", "题号: 012505 , 字段: ans 中已修改数据: (1) $1965$万元; (2) $22.5$万台; (3) 产量均为$30$万台, 利润分别为$840$万元与$860$万元\n", "题号: 012506 , 字段: ans 中已修改数据: (1) $2\\sqrt{2}+2$; (2) $\\pm \\dfrac{\\sqrt{14}}2$; (3) $\\sqrt{2}$或$\\sqrt{3}$或$\\sqrt{\\dfrac{1+\\sqrt{17}}2}$\n", "题号: 012507 , 字段: ans 中已修改数据: (1) $[-\\dfrac{\\sqrt[3]{2}}2,+\\infty)$; (2) $(-2,-1)$; (3) $a=-2$\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": "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": "3.9.15" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "ff3c292c316ba85de6f1ad75f19c731e79d694e741b6f515ec18f14996fe48dc" } } }, "nbformat": 4, "nbformat_minor": 2 }