From 34d0e46b6f0f8ac83ba288d7570d073dfad2ecca Mon Sep 17 00:00:00 2001 From: "weiye.wang" Date: Thu, 25 May 2023 21:36:18 +0800 Subject: [PATCH] =?UTF-8?q?=E4=BF=AE=E6=94=B92023=E5=B1=8A=E4=BD=9C?= =?UTF-8?q?=E4=B8=9A=E6=B5=8B=E9=AA=8C=E6=95=B0=E6=8D=AE=E5=AF=BC=E5=85=A5?= =?UTF-8?q?=E5=B7=A5=E5=85=B7=E4=B8=BA=E5=8F=AF=E6=94=AF=E6=8C=81=E5=A4=9A?= =?UTF-8?q?=E6=AC=A1=E4=BD=9C=E4=B8=9A,=20zip=E5=92=8Ctxt(tex)=E6=96=87?= =?UTF-8?q?=E4=BB=B6=E5=90=8C=E5=90=8D?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../小闲平台作业测验数据导入_2023届.ipynb | 137 ++++++++++++------ 1 file changed, 93 insertions(+), 44 deletions(-) diff --git a/工具/分年级专用工具/小闲平台作业测验数据导入_2023届.ipynb b/工具/分年级专用工具/小闲平台作业测验数据导入_2023届.ipynb index 4f53dd61..0a6f5b9e 100644 --- a/工具/分年级专用工具/小闲平台作业测验数据导入_2023届.ipynb +++ b/工具/分年级专用工具/小闲平台作业测验数据导入_2023届.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 5, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -16,58 +16,67 @@ "# date = str(time.localtime().tm_year)+str(time.localtime().tm_mon).zfill(2)+str(time.localtime().tm_mday).zfill(2)\n", "date = \"20230523\"\n", "\n", - "#生成文件名tex_file和zip_file\n", + "#生成文件列表\n", "files = [os.path.join(filepath,f) for f in os.listdir(filepath)]\n", - "tex_file = [f for f in files if \".tex\" in f or \".txt\" in f][0]\n", - "zip_file = [f for f in files if \".zip\" in f][0]\n", + "file_pairs = []\n", + "for zf in [f for f in files if \".zip\" in f]:\n", + " tf = [f for f in files if (\".tex\" in f or \".txt\" in f) and zf[:-4] in f][0]\n", + " file_pairs.append((zf,tf))\n", "\n", - "#获得题号数据，保存在problems_list中\n", - "with open(tex_file,\"r\",encoding = \"utf8\") as f:\n", - " tex_data = f.read()\n", - "problems_list = re.findall(r\"\\(([\\d]{6})\\)\",tex_data)\n", - "\n", - "#在zip文件中找到包含正确率数据的文件\n", - "zf = zipfile.ZipFile(zip_file)\n", - "statfiles = [f.filename for f in zf.filelist if \"试题分析\" in f.filename]\n", - "\n", - "#生成答题纸区域编号与题目ID的对应\n", - "correspondence_dict = {}\n", - "if \"statsfile.xlsx\" in os.listdir(\"临时文件\"):\n", - " os.remove(\"临时文件/statsfile.xlsx\")\n", - "extractedpath = Path(zf.extract(statfiles[0]))\n", - "extractedpath.rename(\"临时文件/statsfile.xlsx\")\n", - "df = pd.read_excel(\"临时文件/statsfile.xlsx\")\n", - "problems_indexes = list(df[df.columns[0]][2:])\n", - "for p in problems_indexes:\n", - " t = input(\"答题纸区域\"+p+\"的题号为(1-\"+str(len(problems_list))+\", a为自动对应点前的题号):\")\n", - " if t.upper() == \"A\":\n", - " correspondence_dict[p] = problems_list[int(re.findall(r\"([\\d]+?)\\.\",p)[0])-1]\n", - " elif not (int(t)<1 or int(t)>len(problems_list)):\n", - " correspondence_dict[p] = problems_list[int(t)-1] \n", "\n", "outputstr = \"usages\\n\\n\"\n", + "for fp in file_pairs:\n", + " #生成文件名tex_file和zip_file\n", + " zip_file, tex_file = fp\n", "\n", - "for sf in statfiles:\n", - " #读取文件生成区域列表与难度列表\n", - " classname = \"2023届高三\"+re.findall(r\"高三([\\d]*?)班\",sf)[0].zfill(2)+\"班\"\n", + "\n", + " #获得题号数据，保存在problems_list中\n", + " with open(tex_file,\"r\",encoding = \"utf8\") as f:\n", + " tex_data = f.read()\n", + " problems_list = re.findall(r\"\\(([\\d]{6})\\)\",tex_data)\n", + "\n", + " #在zip文件中找到包含正确率数据的文件\n", + " zf = zipfile.ZipFile(zip_file)\n", + " statfiles = [f.filename for f in zf.filelist if \"试题分析\" in f.filename]\n", + "\n", + " #生成答题纸区域编号与题目ID的对应\n", + " correspondence_dict = {}\n", " if \"statsfile.xlsx\" in os.listdir(\"临时文件\"):\n", " os.remove(\"临时文件/statsfile.xlsx\")\n", - " extractedpath = Path(zf.extract(sf))\n", + " extractedpath = Path(zf.extract(statfiles[0]))\n", " extractedpath.rename(\"临时文件/statsfile.xlsx\")\n", " df = pd.read_excel(\"临时文件/statsfile.xlsx\")\n", - " difficulties = list(df[df.columns[9]][2:])\n", " problems_indexes = list(df[df.columns[0]][2:])\n", - " #生成该班级题目ID对应难度列表组成的字典\n", - " class_difficulty = {}\n", - " for i in range(len(difficulties)):\n", - " if problems_indexes[i] in correspondence_dict:\n", - " if not correspondence_dict[problems_indexes[i]] in class_difficulty:\n", - " class_difficulty[correspondence_dict[problems_indexes[i]]] = [difficulties[i]]\n", - " else:\n", - " class_difficulty[correspondence_dict[problems_indexes[i]]].append(difficulties[i])\n", - " #添加到输出字符串中\n", - " for id in class_difficulty:\n", - " outputstr += id + \"\\n\" + date + \"\\t\" + classname + \"\\t\" + \"\\t\".join([(\"%.3f\" %float(v)) for v in class_difficulty[id]]) + \"\\n\\n\"\n", + " for p in problems_indexes:\n", + " t = input(os.path.split(zip_file)[-1][:4]+\"答题纸区域\"+p+\"的题号为(1-\"+str(len(problems_list))+\", a为自动对应点前的题号):\")\n", + " if t.upper() == \"A\":\n", + " correspondence_dict[p] = problems_list[int(re.findall(r\"([\\d]+?)\\.\",p)[0])-1]\n", + " elif not (int(t)<1 or int(t)>len(problems_list)):\n", + " correspondence_dict[p] = problems_list[int(t)-1] \n", + "\n", + "\n", + "\n", + " for sf in statfiles:\n", + " #读取文件生成区域列表与难度列表\n", + " classname = \"2023届高三\"+re.findall(r\"高三([\\d]*?)班\",sf)[0].zfill(2)+\"班\"\n", + " if \"statsfile.xlsx\" in os.listdir(\"临时文件\"):\n", + " os.remove(\"临时文件/statsfile.xlsx\")\n", + " extractedpath = Path(zf.extract(sf))\n", + " extractedpath.rename(\"临时文件/statsfile.xlsx\")\n", + " df = pd.read_excel(\"临时文件/statsfile.xlsx\")\n", + " difficulties = list(df[df.columns[9]][2:])\n", + " problems_indexes = list(df[df.columns[0]][2:])\n", + " #生成该班级题目ID对应难度列表组成的字典\n", + " class_difficulty = {}\n", + " for i in range(len(difficulties)):\n", + " if problems_indexes[i] in correspondence_dict:\n", + " if not correspondence_dict[problems_indexes[i]] in class_difficulty:\n", + " class_difficulty[correspondence_dict[problems_indexes[i]]] = [difficulties[i]]\n", + " else:\n", + " class_difficulty[correspondence_dict[problems_indexes[i]]].append(difficulties[i])\n", + " #添加到输出字符串中\n", + " for id in class_difficulty:\n", + " outputstr += id + \"\\n\" + date + \"\\t\" + classname + \"\\t\" + \"\\t\".join([(\"%.3f\" %float(v)) for v in class_difficulty[id]]) + \"\\n\\n\"\n", "\n", "with open(\"临时文件/自动转换结果.txt\",\"w\",encoding = \"utf8\") as f:\n", " f.write(outputstr)\n", @@ -77,6 +86,26 @@ "\n" ] }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "t" + ] + }, { "cell_type": "code", "execution_count": null, @@ -84,6 +113,26 @@ "outputs": [], "source": [] }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "('数据导入作业文件', 'sj02.zip')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.path.split(zip_file)" + ] + }, { "cell_type": "code", "execution_count": null, @@ -115,7 +164,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.15" + "version": "3.9.15" }, "orig_nbformat": 4, "vscode": {