20221024

体测单位/天津石化.ipynb

@@ -10,15 +10,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 12,
    "id": "1144aaac-92a0-4bcf-aba7-096f7dd3ad3b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-10-15T14:33:57.992886Z",
+     "iopub.execute_input": "2022-10-24T01:23:19.812476Z",
-     "iopub.status.busy": "2022-10-15T14:33:57.992353Z",
+     "iopub.status.busy": "2022-10-24T01:23:19.811935Z",
-     "iopub.status.idle": "2022-10-15T14:33:59.266279Z",
+     "iopub.status.idle": "2022-10-24T01:23:21.182395Z",
-     "shell.execute_reply": "2022-10-15T14:33:59.265333Z",
+     "shell.execute_reply": "2022-10-24T01:23:21.180972Z",
-     "shell.execute_reply.started": "2022-10-15T14:33:57.992838Z"
+     "shell.execute_reply.started": "2022-10-24T01:23:19.812426Z"
     },
     "tags": []
    },
@@ -42,7 +42,7 @@
     "person = {}\n",
     "\n",
     "for n in range(2, sheet.max_row+1):\n",
-    "    code = sheet.cell(n, 6).value\n",
+    "    code = int(sheet.cell(n, 6).value)\n",
     "    person.setdefault(code, {})\n",
     "    dict1 = {}\n",
     "    dict1['name'] = sheet.cell(n, 3).value\n",
@@ -57,10 +57,151 @@
     "print('ok')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "5e648b69-40bf-4494-9079-e4e2b6ab8866",
+   "metadata": {},
+   "source": [
+    "## 获取人员测试成绩"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "a57ebb22-543c-4804-8d44-89984058ec1d",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T01:21:48.803009Z",
+     "iopub.status.busy": "2022-10-24T01:21:48.802465Z",
+     "iopub.status.idle": "2022-10-24T01:21:48.864714Z",
+     "shell.execute_reply": "2022-10-24T01:21:48.863863Z",
+     "shell.execute_reply.started": "2022-10-24T01:21:48.802959Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ok\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",
+    "#SQL语句为：\n",
+    "# SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name FROM places_result AS a,_zgshhgxs AS b WHERE a.place_id=135 AND a.avatar_id=b.id AND a.avatar_id < 4999\n",
+    "\n",
+    "re_ta = {}\n",
+    "dict1 = {}\n",
+    "list1 = []\n",
+    "#print(\"\\n运动项目信息：\")\n",
+    "filename = 'data/134_221021.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[4])\n",
+    "    m_item = str(result[0])    \n",
+    "    re_ta.setdefault(user,{})    \n",
+    "    re_ta[user]['name'] = str(result[6])\n",
+    "    re_ta[user]['unit'] = str(result[5])    \n",
+    "    item_name = item[m_item]['name']\n",
+    "    re_ta[user].setdefault(item_name,{})  \n",
+    "    score = int(result[1])/item[m_item]['divisor']    \n",
+    "    re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
+    "    re_ta[user][item_name]['得分'] =result[2]\n",
+    "filename = 'data/result_天津.json'\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(re_ta, fl) \n",
+    "print('ok')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "55d961e5-a512-44b2-808e-7c55d7000d52",
+   "metadata": {},
+   "source": [
+    "## 导出测试成绩"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "38397ad4-2bb3-4b5e-8ece-9ea11e801890",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T01:28:35.781995Z",
+     "iopub.status.busy": "2022-10-24T01:28:35.781432Z",
+     "iopub.status.idle": "2022-10-24T01:28:36.097993Z",
+     "shell.execute_reply": "2022-10-24T01:28:36.097009Z",
+     "shell.execute_reply.started": "2022-10-24T01:28:35.781947Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import openpyxl\n",
+    "\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/部门','车间/科室','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 = 'data/result_天津.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "\n",
+    "filename = 'data/天津石化人员名单.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(8,'0'))\n",
+    "    list2.append(v['name'])    \n",
+    "    list2.append(dict2[k]['sex'])\n",
+    "    list2.append(dict2[k]['unit'])\n",
+    "    list2.append(dict2[k]['sub_unit'])\n",
+    "    \n",
+    "    for item in items:\n",
+    "        if item in v.keys():\n",
+    "            list2.append(v[item]['成绩'])\n",
+    "            list2.append(v[item]['得分'])\n",
+    "        elif item =='name':\n",
+    "            list2.append(v[item])\n",
+    "        else:\n",
+    "            list2.append('') \n",
+    "            list2.append('')  \n",
+    "    list1.append(list2)\n",
+    "filename = 'data/天津石化得分情况表.xlsx'\n",
+    "wb = openpyxl.Workbook()\n",
+    "sheet = wb.active\n",
+    "sheet.append(title)\n",
+    "for row in list1:\n",
+    "    sheet.append(row)\n",
+    "    \n",
+    "wb.save(filename)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "bf980970-b95f-47f3-a93d-55a659f52471",
+   "id": "92ff6604-e754-4d74-9114-9df466a64e9f",
    "metadata": {},
    "outputs": [],
    "source": []