20230914

体测单位/长炼医院.ipynb

@@ -1,5 +1,13 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "55644860-57e6-466b-b6e9-e6fdd807498d",
+   "metadata": {},
+   "source": [
+    "# 员工体测"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "d4d999fe-4890-4a14-b1e8-52dbd6d42e73",
@@ -835,10 +843,202 @@
     "print('ok')    "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "b07923fd-94da-4b86-8902-523d3ebc3d1b",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# 学生体测"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ba73ead-6715-46a6-b4a9-3a00b733b151",
+   "metadata": {},
+   "source": [
+    "## 导入学生信息"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "c828b665-d178-42e4-a885-505045169102",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ok\n"
+     ]
+    }
+   ],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "\n",
+    "\n",
+    "wb = openpyxl.load_workbook('data/小学生监测花名册.xlsx')\n",
+    "sheet = wb.active\n",
+    "# sheets = wb.sheetnames\n",
+    "person = {}\n",
+    "\n",
+    "for n in range(2, sheet.max_row+1):\n",
+    "    if sheet.cell(n,1).value is not None:\n",
+    "        code = int(sheet.cell(n, 4).value)\n",
+    "        person.setdefault(code, {})\n",
+    "        dict1 = {}\n",
+    "        dict1['name'] = sheet.cell(n, 6).value\n",
+    "        if int(sheet.cell(n, 7).value) ==1:\n",
+    "            sex = '男'\n",
+    "        else:\n",
+    "            sex = '女'\n",
+    "        dict1['sex'] = sex\n",
+    "        birth = str(sheet.cell(n, 8).value).split()[0]\n",
+    "        dict1['birth'] = birth\n",
+    "        dict1['unit'] = sheet.cell(n, 3).value\n",
+    "        person[code] = dict1\n",
+    "filename = 'data/长岭学生名单.json'\n",
+    "with open(filename, 'w') as fl:\n",
+    "    json.dump(person, fl, ensure_ascii=False)\n",
+    "print('ok')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9d64629c-f5ee-4c2b-a9a8-964259d06d36",
+   "metadata": {},
+   "source": [
+    "## 每日成绩导入"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "3f1b2284-c39e-4dc2-bc0c-983fb8e3417f",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "508\n",
+      "508\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import time\n",
+    "import csv\n",
+    "\n",
+    "filename = '../item.json'\n",
+    "item = {}\n",
+    "unit = {}\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "for k,v in dict1.items():\n",
+    "    item[k] = v\n",
+    "re_ta = {}\n",
+    "dict1 = {}\n",
+    "list1 = []\n",
+    "filename = 'data/长岭学生名单.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "rq = '20230914'\n",
+    "filename = f'data/places_result_{rq}.csv'\n",
+    "with open(filename,'r',newline='') as csv_file:\n",
+    "    fl = csv.reader(csv_file,delimiter=',')\n",
+    "    header = next(fl)    \n",
+    "    for line in fl:\n",
+    "        #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
+    "        list1.append(line)\n",
+    "#print(list1)\n",
+    "for result in list1:\n",
+    "    user = str(result[2])\n",
+    "    if user in dict1.keys():        \n",
+    "        m_item = str(result[3])    \n",
+    "        re_ta.setdefault(user,{})    \n",
+    "        re_ta[user]['name'] = dict1[user]['name']\n",
+    "        re_ta[user]['sex'] = dict1[user]['sex'] \n",
+    "        re_ta[user]['unit'] = dict1[user]['unit']\n",
+    "        item_name = item[m_item]['name']\n",
+    "        re_ta[user].setdefault(item_name,{})  \n",
+    "        score = int(result[4])/item[m_item]['divisor']    \n",
+    "        re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
+    "print(len(re_ta))\n",
+    "\n",
+    "filename = 'data/result_长岭学生.json'\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(re_ta, fl, ensure_ascii=False) \n",
+    "print(len(re_ta))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "33c3ecc6-4dee-4eb9-954e-00f3fbbc179d",
+   "metadata": {},
+   "source": [
+    "## 每日成绩导入"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "9d5d379c-5b53-4716-b4ab-fa794c912853",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import openpyxl\n",
+    "\n",
+    "#rq = '20230510'\n",
+    "items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
+    "title = ['编号','姓名','性别','单位','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
+    "filename = f'data/result_长岭学生.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "\n",
+    "filename = 'data/长岭学生名单.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict2 = json.load(fl)\n",
+    "    \n",
+    "list1 = []\n",
+    "for k, v in dict1.items():\n",
+    "    list2 = []\n",
+    "    list2.append(str(k).rjust(5,'0'))\n",
+    "    list2.append(v['name'])    \n",
+    "    list2.append(dict2[k]['sex'])\n",
+    "    list2.append(dict2[k]['unit']) \n",
+    "    for item in items:\n",
+    "        if item in v.keys():\n",
+    "            list2.append(v[item]['成绩'])            \n",
+    "        elif item =='name':\n",
+    "            list2.append(v[item])\n",
+    "        else:\n",
+    "            list2.append('') \n",
+    "    list1.append(list2)\n",
+    "filename = f'data/长岭学生体测情况表.xlsx'\n",
+    "wb = openpyxl.Workbook()\n",
+    "sheet = wb.active\n",
+    "sheet.append(title)\n",
+    "for row in list1:\n",
+    "    sheet.append(row)\n",
+    "wb.save(filename)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "b412ca21-e494-42ba-ac08-0e61cd755d3e",
+   "id": "1b35c133-928f-40d9-8523-8a16677a55d8",
    "metadata": {},
    "outputs": [],
    "source": []