修改2023届作业测验数据导入工具为可支持多次作业, zip和txt(tex)文件同名

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": [
@@ -16,10 +16,19 @@
     "# 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",
+    "file_pairs = []\n",
-    "zip_file = [f for f in files if \".zip\" in f][0]\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",
+    "\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",
     "\n",
     "    #获得题号数据，保存在problems_list中\n",
     "    with open(tex_file,\"r\",encoding = \"utf8\") as f:\n",
@@ -39,13 +48,13 @@
     "    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",
+    "        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",
-    "outputstr = \"usages\\n\\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",
@@ -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": {