diff --git a/体测单位/东营石油工程设计院.ipynb b/体测单位/东营石油工程设计院.ipynb
index cabfd97..4eb3e5e 100644
--- a/体测单位/东营石油工程设计院.ipynb
+++ b/体测单位/东营石油工程设计院.ipynb
@@ -865,7 +865,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/体测单位/东营羊庙.ipynb b/体测单位/东营羊庙.ipynb
index c486c75..744c738 100644
--- a/体测单位/东营羊庙.ipynb
+++ b/体测单位/东营羊庙.ipynb
@@ -1404,7 +1404,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/体测单位/体质检测数据处理.ipynb b/体测单位/体质检测数据处理.ipynb
index b519471..ff199a1 100644
--- a/体测单位/体质检测数据处理.ipynb
+++ b/体测单位/体质检测数据处理.ipynb
@@ -895,15 +895,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "cf345bf0-f11b-459e-9b69-b2843836f6f3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-05-19T08:30:41.861658Z",
-     "iopub.status.busy": "2023-05-19T08:30:41.860765Z",
-     "iopub.status.idle": "2023-05-19T08:30:42.006745Z",
-     "shell.execute_reply": "2023-05-19T08:30:42.006220Z",
-     "shell.execute_reply.started": "2023-05-19T08:30:41.861616Z"
+     "iopub.execute_input": "2023-08-29T13:51:03.280856Z",
+     "iopub.status.busy": "2023-08-29T13:51:03.280394Z",
+     "iopub.status.idle": "2023-08-29T13:51:03.399330Z",
+     "shell.execute_reply": "2023-08-29T13:51:03.398909Z",
+     "shell.execute_reply.started": "2023-08-29T13:51:03.280807Z"
     },
     "tags": []
    },
@@ -915,7 +915,7 @@
     "mydb = myclient[\"baogao\"]\n",
     "mycol = mydb[\"place\"]\n",
     "\n",
-    "mydict = { \"id\": \"714309\",\"name\": \"中国石化石家庄炼化公司\",  }\n",
+    "mydict = { \"id\": \"469849\",\"name\": \"长炼医院\",  }\n",
     " \n",
     "x = mycol.insert_one(mydict) "
    ]
@@ -1016,7 +1016,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/体测单位/北京农行.ipynb b/体测单位/北京农行.ipynb
index ccb5918..1eaee0b 100644
--- a/体测单位/北京农行.ipynb
+++ b/体测单位/北京农行.ipynb
@@ -1,5 +1,13 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4626da6c-d228-4270-8d8d-c98784a106ad",
+   "metadata": {},
+   "source": [
+    "# 第一次体测"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "ba2deee7-9c63-4115-bcee-ad341175fc02",
@@ -10,27 +18,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": null,
    "id": "dea5e486-6927-469f-aa57-e5efac4670be",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-05-31T05:19:09.972334Z",
-     "iopub.status.busy": "2023-05-31T05:19:09.971473Z",
-     "iopub.status.idle": "2023-05-31T05:19:10.054344Z",
-     "shell.execute_reply": "2023-05-31T05:19:10.053621Z",
-     "shell.execute_reply.started": "2023-05-31T05:19:09.972292Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import openpyxl\n",
     "import json\n",
@@ -255,27 +248,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": null,
    "id": "c925d850-ff06-4be5-bf9f-31f4385c37c0",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-05-31T05:19:14.796522Z",
-     "iopub.status.busy": "2023-05-31T05:19:14.795763Z",
-     "iopub.status.idle": "2023-05-31T05:19:14.859923Z",
-     "shell.execute_reply": "2023-05-31T05:19:14.858869Z",
-     "shell.execute_reply.started": "2023-05-31T05:19:14.796492Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "163\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "import openpyxl\n",
@@ -313,28 +291,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": null,
    "id": "a87384c6-dc46-4d09-b757-b42462ed818d",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-05-31T05:19:18.950211Z",
-     "iopub.status.busy": "2023-05-31T05:19:18.949352Z",
-     "iopub.status.idle": "2023-05-31T05:19:18.965945Z",
-     "shell.execute_reply": "2023-05-31T05:19:18.964916Z",
-     "shell.execute_reply.started": "2023-05-31T05:19:18.950168Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "164\n",
-      "['659821', '079384', '876923', '387406', '694158', '563974', '628540', '281407', '798056', '274185', '705316', '571698', '693240', '650329', '481397', '610492', '250746', '619873', '675018', '619204', '984351', '279548', '027154', '856432', '296138', '290486', '218396', '973605', '269043', '653487', '528397', '031947', '370415', '872591', '018592', '251794', '718203', '869254', '408517', '071948', '536729', '259430', '867310', '285413', '805216', '405192', '630721', '386219', '504216', '418752', '402398', '231947', '850743', '901378', '394175', '431092', '157489', '961378', '305921', '620417', '352906', '629380', '417086', '086149', '804693', '342580', '310827', '637102', '128635', '346780', '325076', '643917', '710548', '046732', '762390', '350712', '368419', '342701', '245107', '087136', '023185', '759846', '346758', '514976', '570482', '781935', '210987', '340615', '075891', '810596', '430689', '920785', '815347', '917562', '295817', '765238', '058479', '674159', '567894', '109842', '851943', '703918', '073489', '403958', '578492', '798046', '502876', '943180', '498306', '835760', '726305', '490867', '709413', '275683', '256934', '721830', '973841', '729685', '021349', '265413', '321597', '064187', '136794', '708352', '710928', '657129', '962105', '905436', '513749', '257361', '420691', '941567', '839574', '906358', '218095', '364152', '562149', '109823', '560942', '293561', '194053', '509246', '026951', '243561', '093154', '654083', '519048', '459136', '914362', '605834', '508693', '823906', '349725', '572390', '541236', '419570', '513467', '724063', '164823', '890712', '529840', '641958', '678590', '648951']\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import random\n",
     "import json\n",
@@ -375,27 +337,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": null,
    "id": "10845b90-48b4-4418-9dac-dd4a6f0147c0",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-05-31T05:19:22.535432Z",
-     "iopub.status.busy": "2023-05-31T05:19:22.534590Z",
-     "iopub.status.idle": "2023-05-31T05:19:22.546728Z",
-     "shell.execute_reply": "2023-05-31T05:19:22.545447Z",
-     "shell.execute_reply.started": "2023-05-31T05:19:22.535392Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "163\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "filename = 'data/农业银行测试手机号码.json'\n",
     "with open(filename,'r') as fl:\n",
@@ -421,41 +368,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "id": "62733f52-62c1-43aa-964a-232eab8b5251",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-05-25T10:18:47.776482Z",
-     "iopub.status.busy": "2023-05-25T10:18:47.776048Z",
-     "iopub.status.idle": "2023-05-25T10:18:48.066702Z",
-     "shell.execute_reply": "2023-05-25T10:18:48.065832Z",
-     "shell.execute_reply.started": "2023-05-25T10:18:47.776444Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{\n",
-      "  \"SendStatusSet\": [\n",
-      "    {\n",
-      "      \"SerialNo\": \"2640:135690281916850099280618075\",\n",
-      "      \"PhoneNumber\": \"+8613793180751\",\n",
-      "      \"Fee\": 1,\n",
-      "      \"SessionContext\": \"\",\n",
-      "      \"Code\": \"Ok\",\n",
-      "      \"Message\": \"send success\",\n",
-      "      \"IsoCode\": \"CN\"\n",
-      "    }\n",
-      "  ],\n",
-      "  \"RequestId\": \"7601194b-56e4-45a8-9543-6fcc76ce16a6\"\n",
-      "}\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
+    "import json\n",
     "from tencentcloud.common import credential\n",
     "from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n",
     "from tencentcloud.sms.v20210111 import sms_client, models\n",
@@ -477,8 +397,8 @@
     "    req = models.SendSmsRequest()\n",
     "    req.SmsSdkAppId = \"1400140089\"\n",
     "    req.SignName = \"坤铭教育\"\n",
-    "    req.TemplateId = \"1808914\"    \n",
-    "    req.TemplateParamSet = [\"1234\"]\n",
+    "    req.TemplateId = \"1875765\"    \n",
+    "    req.TemplateParamSet = [\"北京石油分公司体测者\",\"01740518\"]\n",
     "    req.PhoneNumberSet = [\"+8613793180751\"]\n",
     "    req.SessionContext = \"\"\n",
     "    req.ExtendCode = \"\"\n",
@@ -491,27 +411,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": null,
    "id": "e924a0a9-65a5-49c4-bdf2-b9152d278ad5",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-05-25T11:05:39.390622Z",
-     "iopub.status.busy": "2023-05-25T11:05:39.389793Z",
-     "iopub.status.idle": "2023-05-25T11:05:39.396312Z",
-     "shell.execute_reply": "2023-05-25T11:05:39.395239Z",
-     "shell.execute_reply.started": "2023-05-25T11:05:39.390580Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "send success\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "dict1 = json.loads(resp.to_json_string(indent=2))\n",
     "print(dict1['SendStatusSet'][0][\"Message\"])"
@@ -527,30 +432,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": null,
    "id": "910d1881-d090-48dc-ac87-685ccaaf9553",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-06-07T02:57:09.482569Z",
-     "iopub.status.busy": "2023-06-07T02:57:09.481698Z",
-     "iopub.status.idle": "2023-06-07T02:57:10.568979Z",
-     "shell.execute_reply": "2023-06-07T02:57:10.567913Z",
-     "shell.execute_reply.started": "2023-06-07T02:57:09.482528Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "亓宇航 send success\n",
-      "李伟丽 send success\n",
-      "高松 send success\n",
-      "张树伟 send success\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "from tencentcloud.common import credential\n",
@@ -588,7 +475,7 @@
     "        req.SessionContext = \"\"\n",
     "        req.ExtendCode = \"\"\n",
     "        req.SenderId = \"\"\n",
-    "        resp = client.SendSms(req)\n",
+    "        #resp = client.SendSms(req)\n",
     "        dict2 = json.loads(resp.to_json_string(indent=2))\n",
     "\n",
     "        print(v['name'],dict2['SendStatusSet'][0][\"Message\"])\n",
@@ -596,10 +483,308 @@
     "        print(v['name'],err)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "59d38404-e097-4f08-a3fd-565e351f09bb",
+   "metadata": {},
+   "source": [
+    "# 第二次体测"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "deeb7606-5752-4337-9117-4ba9edc762e9",
+   "metadata": {},
+   "source": [
+    "## 人员信息导入"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "759cad53-8745-4862-8874-cf35f13ab0b3",
+   "id": "d803a2b2-4a61-42ba-84a3-e9846e3e9f5c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "\n",
+    "\n",
+    "wb = openpyxl.load_workbook('data/北京分行员工体质检测情况表.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, 1).value)\n",
+    "        person.setdefault(code, {})\n",
+    "        dict1 = {}\n",
+    "        dict1['name'] = sheet.cell(n, 3).value\n",
+    "        if sheet.cell(n, 4).value ==1:\n",
+    "            sex = '男'\n",
+    "        else:\n",
+    "            sex = '女'\n",
+    "        dict1['sex'] = sex\n",
+    "        birth = str(sheet.cell(n, 5).value).split()[0]\n",
+    "        dict1['birth'] = birth\n",
+    "        dict1['unit'] = sheet.cell(n, 2).value\n",
+    "        if sheet.cell(n,6).value is not None:\n",
+    "            dict1['phone'] = sheet.cell(n, 6).value        \n",
+    "        person[code] = dict1\n",
+    "\n",
+    "filename = 'data/北京农行人员名单2308.json'\n",
+    "with open(filename, 'w') as fl:\n",
+    "    json.dump(person, fl, ensure_ascii=False)\n",
+    "print('ok')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff97823f-fd67-45ae-bd78-f209317be6b9",
+   "metadata": {},
+   "source": [
+    "## 成绩导入"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4adf86dd-addf-490a-9954-5dcac4693868",
+   "metadata": {},
+   "outputs": [],
+   "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/北京农行人员名单2308.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "\n",
+    "filename = 'data/places_result_20230825.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",
+    "filename = 'data/result_北京农行0825.json'\n",
+    "\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(re_ta, fl, ensure_ascii=False) \n",
+    "print(len(re_ta))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bb01b9a9-418d-4a1b-8ea9-1215af0b8285",
+   "metadata": {},
+   "outputs": [],
+   "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/北京农行人员名单2308.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "\n",
+    "filename = 'data/places_result_20230825.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",
+    "filename = 'data/result_北京农行0825.json'\n",
+    "\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(re_ta, fl, ensure_ascii=False) \n",
+    "print(len(re_ta))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4d2a0d63-4124-4063-96a7-a02478b9eabe",
+   "metadata": {},
+   "source": [
+    "## 查看项目不足人员"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b26857af-5fa3-42d0-bf79-bc33d9f5e4a8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import time\n",
+    "import csv\n",
+    "\n",
+    "filename = 'data/result_北京农行0825.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "i= 0\n",
+    "for k, v in dict1.items():\n",
+    "    if len(v.keys())< 8:\n",
+    "        print(k,v['name'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1966307c-4161-4c5b-b19a-b8a143972223",
+   "metadata": {},
+   "source": [
+    "## 导出测试人员信息"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "288e39fb-b7e3-4566-ac13-ba98d7e72edb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import openpyxl\n",
+    "\n",
+    "\n",
+    "filename = 'data/result_北京农行0825.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "list1 =[]\n",
+    "for k, v in dict1.items():\n",
+    "    list2 = []\n",
+    "    list2 = [k,v['name'],v['sex'],v['unit']]\n",
+    "    list1.append(list2)\n",
+    "filename = 'data/北京农行测试人员202308.xlsx'\n",
+    "wb = openpyxl.Workbook()\n",
+    "sheet = wb.active\n",
+    "\n",
+    "for row in list1:\n",
+    "    sheet.append(row)\n",
+    "    \n",
+    "wb.save(filename)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a42cb587-8673-4655-8943-3cbd63f22b73",
+   "metadata": {},
+   "source": [
+    "## 检查性别"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6352b95c-0e19-4943-9e99-218138213060",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "\n",
+    "\n",
+    "filename = 'data/result_北京农行0825.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "for k, v in dict1.items():\n",
+    "    if v['sex'] == '男' and '一分钟仰卧起坐' in v.keys():\n",
+    "        print(k,'应为女性！')\n",
+    "    if v['sex'] == '女' and '俯卧撑' in v.keys():\n",
+    "        print(k,'应为男性！')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fddd68cd-b20c-4cf9-b503-5d59f52e3c1b",
+   "metadata": {},
+   "source": [
+    "## 手工数据生成SQL"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "372294de-5370-41c0-9883-b18de9d8ef7e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "\n",
+    "\n",
+    "wb = openpyxl.load_workbook('data/北京农行测试人员202308.xlsx')\n",
+    "sheet = wb.active\n",
+    "# sheets = wb.sheetnames\n",
+    "dict1 = {}\n",
+    "\n",
+    "data1 =list(sheet.values)\n",
+    "del data1[0]\n",
+    "list1 = []\n",
+    "for item in data1:\n",
+    "    code = int(item[0])\n",
+    "    list1.append((309118,code,5,item[4],'2023-08-23','2023-08-23 22:00:00'))\n",
+    "print(list1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "93d4d513-17ee-4f20-bd86-be52398b5852",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -621,7 +806,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/体测单位/燕山石化.ipynb b/体测单位/燕山石化.ipynb
index 7c396cc..f4873b5 100644
--- a/体测单位/燕山石化.ipynb
+++ b/体测单位/燕山石化.ipynb
@@ -2204,7 +2204,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/体测单位/石家庄石化.ipynb b/体测单位/石家庄石化.ipynb
index 650795b..bc884d9 100644
--- a/体测单位/石家庄石化.ipynb
+++ b/体测单位/石家庄石化.ipynb
@@ -1150,7 +1150,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/体测单位/西藏.ipynb b/体测单位/西藏.ipynb
index 2dd57d6..2f4259d 100644
--- a/体测单位/西藏.ipynb
+++ b/体测单位/西藏.ipynb
@@ -10,27 +10,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": null,
    "id": "07f7e97e-670e-4301-b83d-1304514f15d5",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:45:10.229928Z",
-     "iopub.status.busy": "2023-07-05T02:45:10.229085Z",
-     "iopub.status.idle": "2023-07-05T02:45:10.320665Z",
-     "shell.execute_reply": "2023-07-05T02:45:10.319936Z",
-     "shell.execute_reply.started": "2023-07-05T02:45:10.229888Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import openpyxl\n",
     "import json\n",
@@ -65,6 +50,56 @@
     "print('ok')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "be805082-d5d7-405b-975c-fb902085a041",
+   "metadata": {},
+   "source": [
+    "## 文件更名"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b51cf562-c708-4164-8431-5093247880c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os,sys,shutil\n",
+    "import json\n",
+    "import math\n",
+    "import glob\n",
+    "from pathlib import Path\n",
+    "\n",
+    "fi_path = 'file/2023-06-07'\n",
+    "old = []\n",
+    "dict2 = {}\n",
+    "\n",
+    "filename = 'data/西藏人员.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "\n",
+    "for k, v in dict1.items():\n",
+    "    m_name = v['name']\n",
+    "    dict2[int(k)] = [m_name]\n",
+    "\n",
+    "fls = glob.glob(f'{fi_path}/*.pdf')\n",
+    "\n",
+    "for fn in fls:\n",
+    "    old.append(os.path.basename(fn).split('.')[0])\n",
+    "\n",
+    "for n in old:    \n",
+    "    o_name = f'{fi_path}/{n}.pdf'\n",
+    "    new_path = Path(fi_path,'new')\n",
+    "    new_path.mkdir(parents = True, exist_ok = True)\n",
+    "    n_name = Path(new_path,f'{str(n).rjust(5,\"0\")}-{dict2[int(n)][0]}.pdf')\n",
+    "    if not os.path.exists(n_name):\n",
+    "        shutil.copyfile(o_name,n_name)\n",
+    "        print(n_name)\n",
+    "    \n",
+    "print('ok')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "962f6edd-c8d1-42a2-aaff-58f92ccf8d56",
@@ -309,28 +344,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": null,
    "id": "e19a4c58-df1e-4136-bf10-33e9ed885e50",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-04T13:02:15.967924Z",
-     "iopub.status.busy": "2023-07-04T13:02:15.967138Z",
-     "iopub.status.idle": "2023-07-04T13:02:16.005279Z",
-     "shell.execute_reply": "2023-07-04T13:02:16.004236Z",
-     "shell.execute_reply.started": "2023-07-04T13:02:15.967883Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "165\n",
-      "165\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "import time\n",
@@ -447,31 +466,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": null,
    "id": "3696d7e1-afb8-4f9d-ba29-9aaa977b52de",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:45:28.348666Z",
-     "iopub.status.busy": "2023-07-05T02:45:28.348242Z",
-     "iopub.status.idle": "2023-07-05T02:45:28.389486Z",
-     "shell.execute_reply": "2023-07-05T02:45:28.388452Z",
-     "shell.execute_reply.started": "2023-07-05T02:45:28.348638Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "165\n",
-      "[]\n",
-      "165\n",
-      "ok\n",
-      "165\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "import time\n",
@@ -491,7 +491,7 @@
     "re_ta = {}\n",
     "list1 = []\n",
     "#print(\"\\n运动项目信息：\")\n",
-    "filename = 'data/places_result_20230704.csv'\n",
+    "filename = 'data/places_result_20230714.csv'\n",
     "with open(filename,'r',newline='') as csv_file:\n",
     "    fl = csv.reader(csv_file,delimiter=',')\n",
     "    header = next(fl)    \n",
@@ -540,27 +540,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": null,
    "id": "b71c8bf6-2530-425f-9516-8757b40e3dc5",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:45:31.683237Z",
-     "iopub.status.busy": "2023-07-05T02:45:31.682418Z",
-     "iopub.status.idle": "2023-07-05T02:45:31.710877Z",
-     "shell.execute_reply": "2023-07-05T02:45:31.709811Z",
-     "shell.execute_reply.started": "2023-07-05T02:45:31.683198Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "import datetime\n",
@@ -592,27 +577,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": null,
    "id": "0e75cfbb-2b63-4163-831c-933fff1481c2",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:45:50.311946Z",
-     "iopub.status.busy": "2023-07-05T02:45:50.311092Z",
-     "iopub.status.idle": "2023-07-05T02:45:50.340231Z",
-     "shell.execute_reply": "2023-07-05T02:45:50.339150Z",
-     "shell.execute_reply.started": "2023-07-05T02:45:50.311906Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "\n",
@@ -646,31 +616,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": null,
    "id": "99f02e37-3a03-4d7d-a2b9-7bf5563c253c",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:45:52.771879Z",
-     "iopub.status.busy": "2023-07-05T02:45:52.771043Z",
-     "iopub.status.idle": "2023-07-05T02:45:52.802079Z",
-     "shell.execute_reply": "2023-07-05T02:45:52.801054Z",
-     "shell.execute_reply.started": "2023-07-05T02:45:52.771839Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0~255分人数：115人,男性：67人,女性:48人\n",
-      "256~332分人数：42人,男性：27人,女性:15人\n",
-      "333~367分人数：8人,男性：4人,女性:4人\n",
-      "368~500分人数：0人,男性：0人,女性:0人\n",
-      "ok\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "\n",
@@ -714,34 +665,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": null,
    "id": "1435c8af-094d-44b3-a024-af3615c07c21",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:45:57.071802Z",
-     "iopub.status.busy": "2023-07-05T02:45:57.070977Z",
-     "iopub.status.idle": "2023-07-05T02:45:57.086551Z",
-     "shell.execute_reply": "2023-07-05T02:45:57.085522Z",
-     "shell.execute_reply.started": "2023-07-05T02:45:57.071762Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "20~24岁平均成绩：2.43分，人数：9人,男性：7人\n",
-      "25~29岁平均成绩：2.14分，人数：49人,男性：27人\n",
-      "30~34岁平均成绩：2.26分，人数：38人,男性：22人\n",
-      "35~39岁平均成绩：2.39分，人数：27人,男性：12人\n",
-      "40~44岁平均成绩：2.37分，人数：26人,男性：15人\n",
-      "45~49岁平均成绩：2.52分，人数：10人,男性：9人\n",
-      "50~54岁平均成绩：2.48分，人数：5人,男性：5人\n",
-      "55~69岁平均成绩：2.67分，人数：1人,男性：1人\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "\n",
@@ -776,34 +705,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": null,
    "id": "650cf1eb-8681-4911-9b04-80468fe6bf64",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:47:11.272824Z",
-     "iopub.status.busy": "2023-07-05T02:47:11.271965Z",
-     "iopub.status.idle": "2023-07-05T02:47:11.287782Z",
-     "shell.execute_reply": "2023-07-05T02:47:11.286539Z",
-     "shell.execute_reply.started": "2023-07-05T02:47:11.272783Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "20~24岁平均成绩：2.45分，人数：7人\n",
-      "25~29岁平均成绩：2.0分，人数：27人\n",
-      "30~34岁平均成绩：2.39分，人数：22人\n",
-      "35~39岁平均成绩：2.36分，人数：12人\n",
-      "40~44岁平均成绩：2.53分，人数：15人\n",
-      "45~49岁平均成绩：2.54分，人数：9人\n",
-      "50~54岁平均成绩：2.48分，人数：5人\n",
-      "55~80岁平均成绩：2.67分，人数：1人\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "\n",
@@ -838,34 +745,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": null,
    "id": "9ccb9b3c-de57-49f4-a4c6-10a24737e857",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-04T13:08:22.477549Z",
-     "iopub.status.busy": "2023-07-04T13:08:22.476783Z",
-     "iopub.status.idle": "2023-07-04T13:08:22.492628Z",
-     "shell.execute_reply": "2023-07-04T13:08:22.491401Z",
-     "shell.execute_reply.started": "2023-07-04T13:08:22.477510Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "20~24岁平均成绩：2.33分，人数：2人\n",
-      "25~29岁平均成绩：2.32分，人数：22人\n",
-      "30~34岁平均成绩：2.07分，人数：16人\n",
-      "35~39岁平均成绩：2.41分，人数：15人\n",
-      "40~44岁平均成绩：2.15分，人数：11人\n",
-      "45~49岁平均成绩：2.33分，人数：1人\n",
-      "50~54岁平均成绩：0分，人数：0人\n",
-      "55~80岁平均成绩：0分，人数：0人\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "\n",
@@ -899,29 +784,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": null,
    "id": "c8cd897e-0d41-4faa-860f-395d42208674",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T03:18:05.849161Z",
-     "iopub.status.busy": "2023-07-05T03:18:05.848313Z",
-     "iopub.status.idle": "2023-07-05T03:18:05.864430Z",
-     "shell.execute_reply": "2023-07-05T03:18:05.863382Z",
-     "shell.execute_reply.started": "2023-07-05T03:18:05.849120Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "平均成绩：2.3266分，男性：98人\n",
-      "平均成绩：2.2533分，女性：67人\n",
-      "平均成绩：2.2968分，总体：165人\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "\n",
@@ -960,34 +828,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": null,
    "id": "28b418f2-2324-450f-9684-4df15e012694",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:43:38.489757Z",
-     "iopub.status.busy": "2023-07-05T02:43:38.488929Z",
-     "iopub.status.idle": "2023-07-05T02:43:38.506679Z",
-     "shell.execute_reply": "2023-07-05T02:43:38.505448Z",
-     "shell.execute_reply.started": "2023-07-05T02:43:38.489716Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "20-24 {'合格': 1, '不合格': 1}\n",
-      "25-29 {'良好': 2, '不合格': 15, '合格': 5}\n",
-      "30-34 {'合格': 3, '不合格': 12, '良好': 1}\n",
-      "35-39 {'合格': 4, '良好': 1, '不合格': 10}\n",
-      "40-44 {'不合格': 9, '良好': 0, '合格': 2}\n",
-      "45-49 {'不合格': 1, '合格': 0, '良好': 0}\n",
-      "50-54 {'合格': 0, '良好': 0, '不合格': 0}\n",
-      "55-80 {'合格': 0}\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
     "\n",
@@ -1027,34 +873,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": null,
    "id": "a80224fb-1726-4370-9d3d-6e0a27afa8b2",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:47:19.469192Z",
-     "iopub.status.busy": "2023-07-05T02:47:19.468357Z",
-     "iopub.status.idle": "2023-07-05T02:47:19.486494Z",
-     "shell.execute_reply": "2023-07-05T02:47:19.485227Z",
-     "shell.execute_reply.started": "2023-07-05T02:47:19.469153Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "20-24 {'合格': 3, '不合格': 4}\n",
-      "25-29 {'良好': 0, '不合格': 24, '合格': 3}\n",
-      "30-34 {'合格': 7, '不合格': 15, '良好': 0}\n",
-      "35-39 {'合格': 5, '良好': 0, '不合格': 7}\n",
-      "40-44 {'不合格': 9, '良好': 1, '合格': 5}\n",
-      "45-49 {'不合格': 5, '合格': 2, '良好': 2}\n",
-      "50-54 {'合格': 1, '良好': 1, '不合格': 3}\n",
-      "55-80 {'合格': 1}\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
     "\n",
@@ -1094,32 +918,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": null,
    "id": "945b9bec-247b-498b-96f6-a52fabbf6c89",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:47:22.379999Z",
-     "iopub.status.busy": "2023-07-05T02:47:22.379167Z",
-     "iopub.status.idle": "2023-07-05T02:47:22.392962Z",
-     "shell.execute_reply": "2023-07-05T02:47:22.391756Z",
-     "shell.execute_reply.started": "2023-07-05T02:47:22.379959Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "体重 3.46 164\n",
-      "肺活量 2.22 164\n",
-      "握力 1.19 164\n",
-      "坐位体前屈 1.9 163\n",
-      "单脚站立 2.19 165\n",
-      "选择反应时 2.8 165\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl) \n",
@@ -1134,10 +938,123 @@
     "    print(item,round(score/n,2),n)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "abba5b74-bfcd-4ec0-b682-10170138ff36",
+   "metadata": {},
+   "source": [
+    "### 生成脊椎情况明细"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c840e9b2-ce95-40c5-9f67-438a88ae0736",
+   "id": "da4ba403-92a8-4fd8-8dfc-49802b941fca",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "aebb4eb4-2bcd-411c-8868-292fae38d8b5",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-07-19T05:21:21.489267Z",
+     "iopub.status.busy": "2023-07-19T05:21:21.488401Z",
+     "iopub.status.idle": "2023-07-19T05:21:21.503231Z",
+     "shell.execute_reply": "2023-07-19T05:21:21.502005Z",
+     "shell.execute_reply.started": "2023-07-19T05:21:21.489227Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'q1': 34, 'q2': 37, 'q3': 32, 'q4': 86, 'q5': 55, 'q6': 33, 'q7': 63, 'q8': 29, 'q9': 59, 'q10': 14, 'q11': 47, 'q12': 58, 'q13': 14, 'q14': 8, 'q15': 54, 'q16': 52, 'q17': 20, 'q18': 54, 'q19': 43, 'q20': 1, 'q21': 31, 'q22': 22, 'q23': 50, 'q24': 10, 'q25': 2}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import csv\n",
+    "\n",
+    "dict1 = {}\n",
+    "dict2 = {}\n",
+    "for i in range(1,26):\n",
+    "    dict1[f'q{str(i)}'] = 0\n",
+    "    \n",
+    "list1 = []\n",
+    "filename = 'data/Survey_20230719.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",
+    "list2 = []\n",
+    "for result in list1:\n",
+    "    data = json.loads(result[5].strip())\n",
+    "    for k, v in data.items():\n",
+    "        if v:\n",
+    "            dict1[k] += 1\n",
+    "print(dict1)    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "ad102064-de18-41aa-9829-b9b398df53d6",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-07-19T05:18:48.000423Z",
+     "iopub.status.busy": "2023-07-19T05:18:47.999556Z",
+     "iopub.status.idle": "2023-07-19T05:18:48.014467Z",
+     "shell.execute_reply": "2023-07-19T05:18:48.013436Z",
+     "shell.execute_reply.started": "2023-07-19T05:18:48.000379Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['10422', 'zsyxz1', '', '张斌', '35', '{\"q25\":true,\"q1\":false,\"q2\":false,\"q3\":false,\"q4\":true,\"q5\":true,\"q6\":true,\"q7\":true,\"q8\":false,\"q9\":true,\"q10\":false,\"q11\":false,\"q12\":false,\"q13\":false,\"q14\":false,\"q15\":true,\"q16\":false,\"q17\":false,\"q18\":false,\"q19\":true,\"q20\":false,\"q21\":true,\"q22\":false,\"q23\":false,\"q24\":true}', '2023-06-01 20:00:00']\n",
+      "['10424', 'zsyxz1', '', '余兴见', '85', '{\"q25\":true,\"q1\":false,\"q2\":true,\"q3\":false,\"q4\":true,\"q5\":true,\"q6\":false,\"q7\":true,\"q8\":true,\"q9\":true,\"q10\":false,\"q11\":true,\"q12\":true,\"q13\":false,\"q14\":false,\"q15\":true,\"q16\":true,\"q17\":true,\"q18\":false,\"q19\":false,\"q20\":false,\"q21\":true,\"q22\":true,\"q23\":false,\"q24\":true}', '2023-06-01 20:00:00']\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import csv\n",
+    "\n",
+    "dict1 = {}\n",
+    "dict2 = {}\n",
+    "for i in range(1,26):\n",
+    "    dict1[f'q{str(i)}'] = 0\n",
+    "    \n",
+    "list1 = []\n",
+    "filename = 'data/Survey_20230719.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",
+    "list2 = []\n",
+    "for result in list1:\n",
+    "    data = json.loads(result[5].strip())\n",
+    "    for k, v in data.items():\n",
+    "        if k == 'q25'and v:\n",
+    "            print(result)\n",
+    "#print(dict1)    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2787bc9f-6492-4b51-9b37-87ac098d93b9",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -1159,7 +1076,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/体测单位/长炼医院.ipynb b/体测单位/长炼医院.ipynb
index f7e1a3c..3ce17f3 100644
--- a/体测单位/长炼医院.ipynb
+++ b/体测单位/长炼医院.ipynb
@@ -10,27 +10,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "id": "3154fc8c-0e91-4cda-ba75-666dc7bbb34d",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-05-08T07:53:19.491869Z",
-     "iopub.status.busy": "2023-05-08T07:53:19.491008Z",
-     "iopub.status.idle": "2023-05-08T07:53:19.954513Z",
-     "shell.execute_reply": "2023-05-08T07:53:19.953763Z",
-     "shell.execute_reply.started": "2023-05-08T07:53:19.491826Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import openpyxl\n",
     "import json\n",
@@ -72,35 +57,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "id": "5cea2f5e-37fc-4857-8455-090a634a1c0a",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-04T11:13:00.968177Z",
-     "iopub.status.busy": "2023-07-04T11:13:00.967304Z",
-     "iopub.status.idle": "2023-07-04T11:13:01.076381Z",
-     "shell.execute_reply": "2023-07-04T11:13:01.075631Z",
-     "shell.execute_reply.started": "2023-07-04T11:13:00.968133Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2125\n",
-      "ok\n",
-      "2360\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import openpyxl\n",
     "import json\n",
     "\n",
     "\n",
-    "wb = openpyxl.load_workbook('data/长炼医院新增监测花名册（物资+消防）.xlsx')\n",
+    "wb = openpyxl.load_workbook('data/长炼医院新增监测花名册（水务部）.xlsx')\n",
     "sheet = wb.active\n",
     "# sheets = wb.sheetnames\n",
     "filename = 'data/长炼医院人员名单.json'\n",
@@ -129,6 +97,80 @@
     "print(len(person))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "56e4caa4-cf9d-4fdc-99c4-86f5e92afdfa",
+   "metadata": {},
+   "source": [
+    "## 补充员工编号"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0bdfe5e6-40e1-432d-85b4-ddb9e8d3dd90",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mport openpyxl\n",
+    "import json\n",
+    "\n",
+    "\n",
+    "wb = openpyxl.load_workbook('data/长炼医院体测人员编号情况表.xlsx')\n",
+    "sheet = wb.active\n",
+    "# sheets = wb.sheetnames\n",
+    "filename = 'data/长炼医院人员名单.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    person = json.load(fl) \n",
+    "print(len(person))\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",
+    "        \n",
+    "\n",
+    "\n",
+    "with open(filename, 'w') as fl:\n",
+    "    json.dump(person, fl, ensure_ascii=False)\n",
+    "print('ok')\n",
+    "print(len(person))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1597f17a-1d9c-4d2c-9273-3afa8147c72e",
+   "metadata": {},
+   "source": [
+    "## 单独新增人员信息"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d6fde6c4-d696-4eb9-a73e-a7cc7018b62c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "\n",
+    "\n",
+    "filename = 'data/长炼医院人员名单.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    person = json.load(fl) \n",
+    "code = '3297'\n",
+    "name = '何治国'\n",
+    "sex = '男'\n",
+    "birth = '1982/02/15'\n",
+    "unit = '长炼医院外二科'\n",
+    "person[code] = {'name':name,'sex':sex,'birth':birth,'unit':unit}\n",
+    "with open(filename, 'w') as fl:\n",
+    "    json.dump(person, fl, ensure_ascii=False)\n",
+    "print('ok')\n",
+    "print(len(person))"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "96d5b4bd-4198-4725-9005-070ac4e4f324",
@@ -139,28 +181,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "id": "4b52477e-926a-44b5-b8a0-20bff98d101d",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-06-30T09:11:38.251783Z",
-     "iopub.status.busy": "2023-06-30T09:11:38.251003Z",
-     "iopub.status.idle": "2023-06-30T09:11:38.321383Z",
-     "shell.execute_reply": "2023-06-30T09:11:38.320331Z",
-     "shell.execute_reply.started": "2023-06-30T09:11:38.251750Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "332\n",
-      "332\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "import time\n",
@@ -179,7 +205,7 @@
     "filename = 'data/长炼医院人员名单.json'\n",
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl) \n",
-    "rq = '20230630'\n",
+    "rq = '20230830'\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",
@@ -202,7 +228,7 @@
     "        re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
     "print(len(re_ta))\n",
     "\n",
-    "filename = f'data/result_长炼医院（{rq}).json'\n",
+    "filename = 'data/result_长炼医院.json'\n",
     "with open(filename,'w') as fl:\n",
     "    json.dump(re_ta, fl, ensure_ascii=False) \n",
     "print(len(re_ta))\n"
@@ -210,46 +236,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "033cc564-4aa9-4e88-b38b-ec62a02b1661",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-05-26T08:29:09.963390Z",
-     "iopub.status.busy": "2023-05-26T08:29:09.962538Z",
-     "iopub.status.idle": "2023-05-26T08:29:10.005878Z",
-     "shell.execute_reply": "2023-05-26T08:29:10.004986Z",
-     "shell.execute_reply.started": "2023-05-26T08:29:09.963348Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "67\n",
-      "133 杨诚 已测试！\n",
-      "76 李克胜 已测试！\n",
-      "24 李璇 已测试！\n",
-      "45 乔志刚 已测试！\n",
-      "136 胡茂山 已测试！\n",
-      "182 刘立文 已测试！\n",
-      "163 乐文清 已测试！\n",
-      "160 李莉 已测试！\n",
-      "128 王聪 已测试！\n",
-      "161 王雅琴 已测试！\n",
-      "72 彭姝 已测试！\n",
-      "164 高维 已测试！\n",
-      "134 索怡心 已测试！\n",
-      "67\n",
-      "72\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
-    "import time\n",
+    "import datetime\n",
     "import csv\n",
+    "from datetime import date\n",
     "\n",
     "filename = '../item.json'\n",
     "item = {}\n",
@@ -258,54 +255,69 @@
     "    dict1 = json.load(fl) \n",
     "for k,v in dict1.items():\n",
     "    item[k] = v\n",
+    "item['1']['en'] = 'lung'\n",
+    "item['2']['en'] = 'grip'\n",
+    "item['3']['en'] = 'flexion'\n",
+    "item['4']['en'] = 'jump'\n",
+    "item['5']['en'] = 'pushup'\n",
+    "item['6']['en'] = 'balance'\n",
+    "item['7']['en'] = 'reaction'\n",
+    "item['8']['en'] = 'step'\n",
+    "item['9']['en'] = 'situp'\n",
+    "item['10']['en'] = 'height'\n",
+    "item['11']['en'] = 'weight'\n",
+    "\n",
+    "\n",
     "re_ta = {}\n",
     "dict1 = {}\n",
     "list1 = []\n",
     "filename = 'data/长炼医院人员名单.json'\n",
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl) \n",
-    "#rq = '20230510'\n",
-    "filename = f'data/places_result_{rq}.csv'\n",
+    "\n",
+    "filename = 'data/places_result_20230830.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",
+    "#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n",
+    "#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
     "for result in list1:\n",
     "    user = str(result[2])\n",
-    "    if user in dict1.keys():        \n",
+    "    if user in dict1.keys():\n",
+    "        l_xm = []\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]['sex'] = dict1[user]['sex']\n",
+    "        if dict1[user]['sex'] == '男':\n",
+    "            l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
+    "        else:\n",
+    "            l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\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",
+    "        birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
+    "        #nian = int(birth[0].strip())\n",
+    "        #yue = int(birth[1].strip())\n",
+    "        #ri = int(birth[2].strip())\n",
+    "        #print(k,nian,yue,ri)\n",
+    "        item_name = item[m_item]['en']        \n",
+    "        if item_name in l_xm:            \n",
+    "            days = (datetime.date(2023, 8, 29)-birth).days        \n",
+    "            re_ta[user]['age'] = int(days/365)\n",
+    "            re_ta[user]['month'] = int(days/365*12)\n",
+    "\n",
+    "\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",
     "filename = 'data/result_长炼医院.json'\n",
-    "with open(filename,'r') as fl:\n",
-    "    dict2 = json.load(fl)\n",
-    "for k in re_ta.keys():\n",
-    "    if k in dict2.keys():\n",
-    "        print(k,dict2[k]['name'],'已测试！')\n",
-    "for k, v in re_ta.items():\n",
-    "    if k not in dict2.keys():\n",
-    "        dict2[k] = v\n",
-    "    else:\n",
-    "        for k1,v1 in v.items():\n",
-    "            dict2[k][k1] = v1\n",
-    "filename = f'data/result_长炼医院（{rq}）.json'\n",
+    "\n",
     "with open(filename,'w') as fl:\n",
     "    json.dump(re_ta, fl, ensure_ascii=False) \n",
-    "print(len(re_ta))\n",
-    "filename = 'data/result_长炼医院.json'\n",
-    "with open(filename,'w') as fl:\n",
-    "    json.dump(dict2, fl, ensure_ascii=False) \n",
-    "print(len(dict2))"
+    "print(len(re_ta))"
    ]
   },
   {
@@ -318,16 +330,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "id": "2ffa583b-be51-40a8-bb55-de6a89d1a54a",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-06-30T09:11:56.865111Z",
-     "iopub.status.busy": "2023-06-30T09:11:56.864246Z",
-     "iopub.status.idle": "2023-06-30T09:11:56.990299Z",
-     "shell.execute_reply": "2023-06-30T09:11:56.989605Z",
-     "shell.execute_reply.started": "2023-06-30T09:11:56.865066Z"
-    },
     "tags": []
    },
    "outputs": [],
@@ -367,14 +372,834 @@
     "sheet.append(title)\n",
     "for row in list1:\n",
     "    sheet.append(row)\n",
-    "    \n",
     "wb.save(filename)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "be9ba440-3978-4a26-96a8-a0ec4a4f307f",
+   "metadata": {},
+   "source": [
+    "## 人员信息表导出"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ec011c39-f6b1-40d5-b95e-bc59b7a51058",
+   "id": "52e4d9cf-2ecd-4d96-9ab0-a71c507a32e0",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "\n",
+    "\n",
+    "filename = 'data/长炼医院人员名单.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "list1 = []\n",
+    "for k, v in dict1.items():\n",
+    "    list2 = []\n",
+    "    list2 = [k,v['name'],v['sex'],v['birth'],v['unit']]\n",
+    "    list1.append(list2)\n",
+    "filename = f'data/长炼医院体测情况表(20230829).xlsx'\n",
+    "wb = openpyxl.Workbook()\n",
+    "sheet = wb.active\n",
+    "\n",
+    "for row in list1:\n",
+    "    sheet.append(row)\n",
+    "wb.save(filename)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f58f1da0-a558-4c92-ac09-341bc8a6055d",
+   "metadata": {},
+   "source": [
+    "## 计算测试得分"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3b10ab5b-a9e6-4b3b-b2ec-97a2de4af6cd",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import time\n",
+    "\n",
+    "filename = '../item.json'\n",
+    "item = {}\n",
+    "unit = {}\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict3 = json.load(fl) \n",
+    "for k,v in dict3.items():\n",
+    "    item[k] = v\n",
+    "item['1']['en'] = 'lung'\n",
+    "item['2']['en'] = 'grip'\n",
+    "item['3']['en'] = 'flexion'\n",
+    "item['4']['en'] = 'jump'\n",
+    "item['5']['en'] = 'pushup'\n",
+    "item['6']['en'] = 'balance'\n",
+    "item['7']['en'] = 'reaction'\n",
+    "item['8']['en'] = 'step'\n",
+    "item['9']['en'] = 'situp'\n",
+    "item['10']['en'] = 'height'\n",
+    "item['11']['en'] = 'weight'\n",
+    "\n",
+    "filename = 'data/体质检测标准 (1).json'    \n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "\n",
+    "\n",
+    "\n",
+    "def cal_score(data1):\n",
+    "    #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46}     \n",
+    "    person = dict1['person']\n",
+    "    criteria = dict1['criteria']    \n",
+    "    info = data1['sex']+str(data1['age'])\n",
+    "    bz = person[info]\n",
+    "    mx = criteria[bz][data1['item']]\n",
+    "    result = data1['result']    \n",
+    "    if data1['item'] == 'reaction':\n",
+    "        for bz1 in mx:\n",
+    "            if result > bz1:\n",
+    "                #print(bz1)\n",
+    "                score = mx.index(bz1,0)\n",
+    "                break\n",
+    "            else:\n",
+    "                score = 5\n",
+    "    else:\n",
+    "        for bz1 in mx:\n",
+    "            if result < bz1:\n",
+    "                #print(bz1)\n",
+    "                score = mx.index(bz1,0)\n",
+    "                break\n",
+    "            else:\n",
+    "                score = 5\n",
+    "    return(score)\n",
+    "filename = 'data/体质检测标准_BMI.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict4 = json.load(fl) \n",
+    "    \n",
+    "def cal_bmi(data1):\n",
+    "   # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n",
+    "    person = dict4['person']\n",
+    "    criteria = dict4['criteria']\n",
+    "    \n",
+    "    info = data1['sex']+str(data1['age'])\n",
+    "    bz = person[info]\n",
+    "    #print(bz)\n",
+    "    result = data1['result']\n",
+    "    print(result)\n",
+    "    height = int(float(result.split(',')[0]))\n",
+    "    weight = float(result.split(',')[1])\n",
+    "    mx = criteria[bz][str(height)]\n",
+    "    if weight < mx[0]:\n",
+    "        score = 1\n",
+    "    elif weight < mx[1]:\n",
+    "        score = 3\n",
+    "    elif weight < mx[2]:\n",
+    "        score = 5    \n",
+    "    elif weight <= mx[3]:\n",
+    "        score = 3  \n",
+    "    elif weight > mx[3]:\n",
+    "        score = 1\n",
+    "    return score\n",
+    "    \n",
+    "    \n",
+    "\n",
+    "#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
+    "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
+    "filename = 'data/result_长炼医院.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict2 = json.load(fl) \n",
+    "for k, v in dict2.items():\n",
+    "    if v['sex'] == '男':\n",
+    "        sex = 'M'\n",
+    "    else:\n",
+    "        sex = 'F'            \n",
+    "    if 'height' in v.keys() and 'weight' in v.keys():\n",
+    "        bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
+    "        data1 = {'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n",
+    "        dict2[k]['bmi'] = {}\n",
+    "        dict2[k]['bmi']['成绩'] = bmi_data\n",
+    "        dict2[k]['bmi']['score'] = cal_bmi(data1)\n",
+    "    for item_en in list_item:\n",
+    "        if item_en in v.keys():            \n",
+    "            data1 = {'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
+    "            dict2[k][item_en]['score'] = cal_score(data1)\n",
+    "            #print(k,v[item_en]['成绩'],cal_score(data1))\n",
+    "\n",
+    "filename = f'data/result_长炼医院.json'\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(dict2,fl , ensure_ascii=False) \n",
+    "print('ok!')        "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "647c016d-640e-44ab-888d-09b80d5bb8b9",
+   "metadata": {},
+   "source": [
+    "## 生成报告"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bea5228f-0d65-4969-b00f-ea102ed12122",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json\n",
+    "\n",
+    "headers = {\n",
+    "    \"Content-Type\": \"application/json; charset=UTF-8\"\n",
+    "    }\n",
+    "filename = 'data/result_长炼医院.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "list1 = []\n",
+    "fiie_path ='./469849/'\n",
+    "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
+    "for  k, v in dict1.items():\n",
+    "    list1 = []\n",
+    "    mydata = {}\n",
+    "    \n",
+    "    id = str(k).rjust(5,\"0\")\n",
+    "    mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
+    "    mydata['title'] = '中石化长岭分公司'\n",
+    "    mydata['subtitle'] = v['unit']\n",
+    "    mydata['id'] = id\n",
+    "    mydata['name'] = v['name']\n",
+    "    if v['sex'] == '男':\n",
+    "        mydata['gender'] = 'male'\n",
+    "    else:\n",
+    "        mydata['gender'] = 'female'\n",
+    "    \n",
+    "    mydata['month'] = v['month']\n",
+    "    mydata['fits'] = {}\n",
+    "    for item in list_item:\n",
+    "        if item in v.keys():\n",
+    "            if item in ['lung','pushup','step','situp']:\n",
+    "                mark = v[item]['成绩'].split()[0].split('.')[0]\n",
+    "            else:\n",
+    "                mark = v[item]['成绩'].split()[0]\n",
+    "            mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
+    "    if len(mydata['fits']) >2:\n",
+    "        \n",
+    "        list1.append(mydata)        \n",
+    "        x = requests.post('http://192.168.31.163:3003', data = json.dumps(list1), headers=headers)\n",
+    "        print(id,v['name'],x.text)\n",
+    "        x.close()\n",
+    "    #print(mydata)\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "effa061b-51f9-4074-b747-d7873217973a",
+   "metadata": {},
+   "source": [
+    "## 生成报告数据"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d403f2f4-ae6b-422f-9679-e7636bfec03e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json\n",
+    "\n",
+    "headers = {\n",
+    "    \"Content-Type\": \"application/json; charset=UTF-8\"\n",
+    "    }\n",
+    "filename = 'data/result_长炼医院.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "list1 = []\n",
+    "\n",
+    "fiie_path ='./469849/'\n",
+    "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
+    "for  k, v in dict1.items(): \n",
+    "    mydata = {}\n",
+    "    id = str(k).rjust(5,\"0\")\n",
+    "    mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
+    "    mydata['title'] = '中石化长岭分公司'\n",
+    "    mydata['subtitle'] = v['unit']\n",
+    "    mydata['id'] = id\n",
+    "    mydata['name'] = v['name']\n",
+    "    if v['sex'] == '男':\n",
+    "        mydata['gender'] = 'male'\n",
+    "    else:\n",
+    "        mydata['gender'] = 'female'\n",
+    "    \n",
+    "    mydata['month'] = v['month']\n",
+    "    mydata['fits'] = {}\n",
+    "    for item in list_item:\n",
+    "        if item in v.keys():\n",
+    "            if item in ['lung','pushup','step','situp']:\n",
+    "                mark = v[item]['成绩'].split()[0].split('.')[0]\n",
+    "            else:\n",
+    "                mark = v[item]['成绩'].split()[0]\n",
+    "            mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
+    "    if len(mydata['fits']) >2:        \n",
+    "        list1.append(mydata)        \n",
+    "    #x = requests.post('http://192.168.31.163:3003', data = json.dumps(list1), headers=headers)\n",
+    "    #print(id,v['name'],x.text)\n",
+    "    #x.close()\n",
+    "    #print(mydata)\n",
+    "json_data = json.dumps(list1,ensure_ascii=False, indent=4)  \n",
+    "\n",
+    "# 将 json 数据写入文件\n",
+    "with open(\"data/长炼医院data.json\", \"w\",encoding = 'utf-8') as file:\n",
+    "    file.write(json_data)      "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1f74d57b-ef60-4a1e-8cb5-2dc4c96bdcca",
+   "metadata": {},
+   "source": [
+    "## 核对成绩"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c1c3330d-cce6-4603-99ea-8401cfa11e05",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import csv\n",
+    "\n",
+    "filename = '../item.json'\n",
+    "item = {}\n",
+    "unit = {}\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict3 = json.load(fl) \n",
+    "for k,v in dict3.items():\n",
+    "    item[k] = v\n",
+    "item['1']['en'] = 'lung'\n",
+    "item['2']['en'] = 'grip'\n",
+    "item['3']['en'] = 'flexion'\n",
+    "item['4']['en'] = 'jump'\n",
+    "item['5']['en'] = 'pushup'\n",
+    "item['6']['en'] = 'balance'\n",
+    "item['7']['en'] = 'reaction'\n",
+    "item['8']['en'] = 'step'\n",
+    "item['9']['en'] = 'situp'\n",
+    "item['10']['en'] = 'height'\n",
+    "item['11']['en'] = 'weight'\n",
+    "\n",
+    "re_ta = {}\n",
+    "list1 = []\n",
+    "item_list = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
+    "filename = 'data/places_result_20230830.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",
+    "       \n",
+    "    m_item = str(result[3])    \n",
+    "    re_ta.setdefault(user,{})            \n",
+    "    item_name = item[m_item]['en']\n",
+    "    re_ta[user].setdefault(item_name,{})  \n",
+    "    score = int(result[4])/item[m_item]['divisor']    \n",
+    "    re_ta[user][item_name]['成绩'] = result[5]\n",
+    "\n",
+    "filename = 'data/长炼医院data.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    list1 = json.load(fl)\n",
+    "for data in list1:\n",
+    "    code = str(int(data['id']))\n",
+    "    for k, v in data['fits'].items():\n",
+    "        if code in re_ta.keys():\n",
+    "            if k in item_list:\n",
+    "                print(code,k,v['score'],re_ta[code][k]['成绩'])\n",
+    "            if k == 'bmi':\n",
+    "                print(code,k,v['score'],re_ta[code]['weight']['成绩'])\n",
+    "            \n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "83fa2c1f-5269-4dec-a6b5-43f809db808c",
+   "metadata": {},
+   "source": [
+    "## 获取报告信息"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "f4aaab88-4a92-434c-98e5-2ef2f4c23707",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-05T06:24:53.514988Z",
+     "iopub.status.busy": "2023-09-05T06:24:53.514794Z",
+     "iopub.status.idle": "2023-09-05T06:24:53.526136Z",
+     "shell.execute_reply": "2023-09-05T06:24:53.525740Z",
+     "shell.execute_reply.started": "2023-09-05T06:24:53.514973Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0077 阳轶西\n",
+      "2044 罗鸣\n",
+      "2102 王凤\n",
+      "2173 倪炜强\n",
+      "1488 邓超\n",
+      "0511 杨锦\n",
+      "2091 黄琪\n",
+      "2046 李关亮\n",
+      "2082 贺凯\n",
+      "2069 周君良\n",
+      "1559 谢斌\n",
+      "1597 黄庭轩\n",
+      "2126 蔡安逸\n",
+      "0332 陈素玲\n",
+      "0102 江承光\n",
+      "1660 唐淑琴\n",
+      "0350 严正男\n",
+      "2169 宋德伟\n",
+      "2083 吴征宇\n",
+      "1579 彭小海\n",
+      "1230 向冬典\n",
+      "1971 江平\n",
+      "2145 陈世博\n",
+      "1547 陈文胜\n",
+      "1761 胡志祥\n",
+      "2172 王亚周\n",
+      "1476 张磊\n",
+      "2578 颜艳萍\n",
+      "2045 谈志亮\n",
+      "1878 张二学\n",
+      "2056 江汇涛\n",
+      "2040 常硕\n",
+      "1483 叶恒超\n",
+      "2000 祝恒兴\n",
+      "2012 丁文斌\n",
+      "1580 吕振 \n",
+      "2922 周勃\n",
+      "2469 黄平\n",
+      "1617 陈雪梅\n",
+      "1634 胡柯磊\n",
+      "2520 乔勇\n",
+      "2014 彭海军\n",
+      "0514 金超\n",
+      "1626 王军\n",
+      "0133 杨诚\n",
+      "1581 刘传钢\n",
+      "0100 钟宁辉\n",
+      "1529 蒋茂凤\n",
+      "2154 张坚发\n",
+      "1092 黄平\n",
+      "1551 陈伟\n",
+      "1504 龙群丽\n",
+      "1539 童志强\n",
+      "2087 张宁\n",
+      "1607 谭拥军\n",
+      "0134 索怡心\n",
+      "0123 刘世杰\n",
+      "1453 李勇\n",
+      "2055 俞华萍\n",
+      "1481 李咏\n",
+      "2067 黄建生\n",
+      "2108 冯军\n",
+      "1266 李昌东\n",
+      "2142 阳静\n",
+      "1856 廖康\n",
+      "1558 胡宏爱\n",
+      "2105 张哲\n",
+      "2124 唐睿\n",
+      "2076 姚佩\n",
+      "2122 周瑜\n",
+      "2496 曹鹏\n",
+      "2590 肖涛\n",
+      "2138 于业晟\n",
+      "2170 陈雅玲\n",
+      "1475 王柏强\n",
+      "0071 黄陵\n",
+      "2001 王复兴\n",
+      "1711 仇浩宇\n",
+      "1523 彭殿斌\n",
+      "1847 贺芳\n",
+      "2148 郑峻荣\n",
+      "1613 湛小平\n",
+      "2462 李亚平\n",
+      "1411 周为\n",
+      "1635 李泽上\n",
+      "0164 高维\n",
+      "2991 周金华\n",
+      "1517 湛敏\n",
+      "0163 乐文清\n",
+      "0496 宋立波\n",
+      "1629 张建忠\n",
+      "2557 邓宇波\n",
+      "0171 张晨阳\n",
+      "2223 王志建\n",
+      "2022 戴文立\n",
+      "2158 刘赫\n",
+      "2531 张宇星\n",
+      "2166 张梦圆\n",
+      "1841 唐军\n",
+      "1988 王志杰\n",
+      "0062 谢宜勇\n",
+      "2034 段威\n",
+      "0249 杨魁智\n",
+      "0109 杨胜辉\n",
+      "1474 乔亮\n",
+      "0001 徐迟\n",
+      "1870 龚斯壮\n",
+      "1552 王勇\n",
+      "0122 冯晨亮\n",
+      "1465 李建\n",
+      "2010 胡湘\n",
+      "2121 叶忠良\n",
+      "2386 陈意心\n",
+      "2245 谢金岑\n",
+      "2090 陈海\n",
+      "1671 龙琴\n",
+      "1490 胡帆\n",
+      "1999 李刚\n",
+      "2114 唐景柳\n",
+      "2096 李佳\n",
+      "1087 胡向前\n",
+      "1730 李强\n",
+      "1506 宁志强\n",
+      "2487 万艳芳\n",
+      "2057 王小军\n",
+      "2098 朱雨晴\n",
+      "2467 刘权\n",
+      "1812 陈伟\n",
+      "1721 宋治国\n",
+      "1584 彭晓香\n",
+      "2058 张伟\n",
+      "0103 王玮\n",
+      "1473 谢安娜\n",
+      "0044 李斌\n",
+      "2112 张翔\n",
+      "1623 黎泓松\n",
+      "2097 胡颖\n",
+      "2481 孔艳丽\n",
+      "1639 曹伟嘉\n",
+      "2115 张丽军\n",
+      "2111 张新芬\n",
+      "2068 陈文辉\n",
+      "2457 赖新平\n",
+      "0058 陈晓辉\n",
+      "2574 刘一统\n",
+      "1875 卢盛龙\n",
+      "2384 彭辉\n",
+      "2139 陈毅\n",
+      "1905 李诗聪\n",
+      "2061 廖念\n",
+      "2153 唐兆南\n",
+      "2157 胡诗琪\n",
+      "1591 金玉成\n",
+      "2149 朱凌\n",
+      "1714 方云星\n",
+      "2143 向嘉伟\n",
+      "2035 李南烽\n",
+      "2079 刘细\n",
+      "2196 李斌\n",
+      "1525 白健忠\n",
+      "0367 侯光明\n",
+      "0028 文庆伟\n",
+      "1512 陈万军\n",
+      "0084 彭昌兵\n",
+      "2259 刘重宇\n",
+      "2518 陈锦鑫\n",
+      "0056 郑际钧\n",
+      "2062 黄荣\n",
+      "0003 谢鑫\n",
+      "1502 周春峰\n",
+      "1576 瞿正泷\n",
+      "2176 张嫚\n",
+      "2341 刘剑楠\n",
+      "2389 彭超\n",
+      "0182 刘立文\n",
+      "1265 黄湘林\n",
+      "2021 任珍琦\n",
+      "1510 刘明星\n",
+      "1168 范连平\n",
+      "1996 骆洪武\n",
+      "2013 刘林波\n",
+      "2104 任金鹏\n",
+      "0113 屈亚平\n",
+      "1701 李军红\n",
+      "2160 湛博\n",
+      "2597 张钊\n",
+      "0079 曾丽\n",
+      "1361 罗军\n",
+      "0004 余光泉\n",
+      "1987 李明权\n",
+      "2475 龚荣\n",
+      "2084 王智浩\n",
+      "2127 姜波\n",
+      "1567 曾维琦\n",
+      "1593 荣敏\n",
+      "1572 王俊棋\n",
+      "2059 陈可\n",
+      "1708 易春海\n",
+      "0104 朱朝辉\n",
+      "1983 唐杰锋\n",
+      "1570 黄树\n",
+      "1519 高赛阳\n",
+      "2093 唐金滔\n",
+      "2017 高建华\n",
+      "0031 杨健\n",
+      "1636 李家秀\n",
+      "1575 万哲浩\n",
+      "1733 陈芷\n",
+      "2459 李开俊\n",
+      "1994 王卓见\n",
+      "2074 全世夷\n",
+      "0010 余宏伟\n",
+      "0121 易玉龙\n",
+      "1037 郑常浩\n",
+      "2054 朱喜忠\n",
+      "2103 王梓\n",
+      "2125 卞伟\n",
+      "2159 丁杰涛\n",
+      "2394 薛春喜\n",
+      "2099 刘毅\n",
+      "1984 陈志勇\n",
+      "2536 刘波\n",
+      "2335 宋珂炜\n",
+      "2151 李美玲\n",
+      "1594 孙颖\n",
+      "2006 叶可\n",
+      "1909 谭德军\n",
+      "2100 彭晨雨\n",
+      "1612 王怀\n",
+      "0043 徐贺红\n",
+      "1861 冯予译\n",
+      "2571 彭一夫\n",
+      "2432 刘忠\n",
+      "2168 邓野\n",
+      "1638 陈龙\n",
+      "3297 何治国\n",
+      "1631 刘波\n",
+      "0002 瞿岳云\n",
+      "1625 方学军\n",
+      "2426 罗广\n",
+      "0074 刘建强\n",
+      "2497 酉文华\n",
+      "1548 杨永红\n",
+      "1888 吴国亮\n",
+      "2047 石星星\n",
+      "0045 乔志刚\n",
+      "2060 徐向阳\n",
+      "1900 施巧\n",
+      "2024 谢军辉\n",
+      "1568 李卫华\n",
+      "0027 唐萍\n",
+      "2081 黄杰\n",
+      "0093 罗双辉\n",
+      "2063 杨杰\n",
+      "2065 汪剑尘\n",
+      "1992 姚小霞\n",
+      "1201 修军\n",
+      "2106 李青\n",
+      "1816 彭羿\n",
+      "1526 高永林\n",
+      "1688 郑华平\n",
+      "1588 汪小兵\n",
+      "0047 宾文\n",
+      "0118 孙广远\n",
+      "1569 王欣\n",
+      "2155 朱云龙\n",
+      "0131 罗圣\n",
+      "2303 何东海\n",
+      "2479 朱细平\n",
+      "2525 蔡莉\n",
+      "1535 周子瑜\n",
+      "1632 陆杨\n",
+      "1486 王小华\n",
+      "0136 胡茂山\n",
+      "1914 于斌\n",
+      "1694 易庆辉\n",
+      "1990 甘龙\n",
+      "2140 高洁\n",
+      "2086 何望凯\n",
+      "3253 刘杰\n",
+      "2085 李晓文\n",
+      "1564 向涛\n",
+      "0161 王雅琴\n",
+      "0086 王志新\n",
+      "1528 马明\n",
+      "1855 杨文轩\n",
+      "2109 李华锐\n",
+      "1571 李朝晖\n",
+      "0160 李莉\n",
+      "0022 杨佳洛\n",
+      "1723 郑虹\n",
+      "2141 马婷\n",
+      "1472 张文\n",
+      "1555 李燕舞\n",
+      "2073 张剑\n",
+      "2078 黎金龙\n",
+      "1470 袁康\n",
+      "1768 易新\n",
+      "2032 毛润政\n",
+      "1718 巴银花儿\n",
+      "1496 黄杰斌\n",
+      "2572 马璐\n",
+      "0312 方栩\n",
+      "1557 刘辉\n",
+      "0189 喻建兵\n",
+      "1507 李湘华\n",
+      "0024 李璇\n",
+      "2150 刘雨薇\n",
+      "2286 李林\n",
+      "0082 杨海顺\n",
+      "2077 贺飞\n",
+      "1611 蒋洪高\n",
+      "2023 梁军\n",
+      "1663 张叙雄\n",
+      "0072 彭姝\n",
+      "1993 陈杰\n",
+      "2443 吴艳红\n",
+      "1848 李逵\n",
+      "2165 刘雄峰\n",
+      "0076 李克胜\n",
+      "2088 许松\n",
+      "0025 杨慧文\n",
+      "2005 李振宇\n",
+      "2339 陈作\n",
+      "2175 李明\n",
+      "1489 李继林\n",
+      "2092 袁佳鑫\n",
+      "1565 唐光频\n",
+      "2501 黎贤贞智\n",
+      "1622 彭旭涛\n",
+      "2066 郑小芳\n",
+      "1616 聂琼\n",
+      "2120 刘瑜\n",
+      "0011 谭江\n",
+      "2869 游俊义\n",
+      "2004 刘敏明\n",
+      "1233 刘继华\n",
+      "2198 胡淼\n",
+      "2144 乔林臻\n",
+      "2649 丁键\n",
+      "1549 郑华荣\n",
+      "2167 熊东\n",
+      "1790 刘明荣\n",
+      "2025 彭国强\n",
+      "0128 王聪\n",
+      "1100 李琼\n",
+      "0096 李辉\n",
+      "2094 李富康\n",
+      "1574 吴芳\n",
+      "2050 彭宇\n",
+      "1624 周林\n",
+      "2314 钟亮\n",
+      "2028 罗文武\n",
+      "0048 唐平秋\n",
+      "0495 任勇军\n",
+      "1556 冯霞\n",
+      "1823 聂千凯\n",
+      "0414 陈博豪\n",
+      "2117 钟建东\n",
+      "1592 吴轩宇\n",
+      "2347 杨在宽\n",
+      "1696 邹楚辰\n",
+      "2009 魏刚强\n",
+      "2905 余熙尧\n",
+      "1997 于明浩\n",
+      "2041 李昂\n",
+      "1780 易浩东\n",
+      "1527 续颖\n",
+      "2162 刘明泽\n",
+      "0063 付伽\n",
+      "2156 陶冲\n",
+      "2456 刘琳\n",
+      "1986 倪博\n",
+      "1513 赵雨龙\n",
+      "2072 刘军\n",
+      "2116 胡敏\n",
+      "2070 胡向民\n",
+      "0041 田艳\n",
+      "0120 唐建强\n",
+      "2027 黄波\n",
+      "0157 王良格\n",
+      "1724 罗蓉\n",
+      "2146 李俊杰\n",
+      "2163 向玉娟\n",
+      "1211 柳志和\n",
+      "2161 周星宇\n",
+      "2113 周文\n",
+      "2031 张勇\n",
+      "1972 宋祖云\n",
+      "0055 皮志文\n",
+      "2089 梁一良\n",
+      "2118 周松林\n",
+      "1829 李华\n",
+      "1471 柴江华\n",
+      "2036 胡杰\n",
+      "0313 陈青\n",
+      "1995 张春华\n",
+      "2164 龚子辰\n",
+      "2107 邹尚辰\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os,sys,shutil\n",
+    "import json\n",
+    "import glob\n",
+    "from pathlib import Path\n",
+    "\n",
+    "fi_path = 'file/469849'\n",
+    "old = []\n",
+    "dict2 = {}\n",
+    "list1 = []\n",
+    "\n",
+    "filename = 'data/长炼医院人员名单.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "    \n",
+    "fl = glob.glob(f'{fi_path}/*.pdf')\n",
+    "for fn in fl:\n",
+    "    fi_name =Path(fn).stem.split('-')[0]\n",
+    "    code = int(fi_name)\n",
+    "    print(fi_name,dict1[str(code)]['name'])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b3a24698-2dc2-4117-8bf5-319b42d1f841",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -396,7 +1221,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/数据处理.ipynb b/数据处理.ipynb
index 0febc06..1734180 100644
--- a/数据处理.ipynb
+++ b/数据处理.ipynb
@@ -159,15 +159,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-08-29T03:26:35.055593Z",
+     "iopub.status.busy": "2023-08-29T03:26:35.055086Z",
+     "iopub.status.idle": "2023-08-29T03:26:35.077483Z",
+     "shell.execute_reply": "2023-08-29T03:26:35.076400Z",
+     "shell.execute_reply.started": "2023-08-29T03:26:35.055541Z"
+    },
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "bs b'\\xd4\\xc0\\xcd\\xaf'\n",
+      "decode-bs: 岳童\n",
+      "gbcode: b'\\xc2\\xed\\xc1\\xa2\\xd1\\xc7'\n",
+      "gbs: c2edc1a2d1c7\n"
+     ]
+    }
+   ],
    "source": [
     "import binascii\n",
     "\n",
-    "gbs = 'C0EEB574'\n",
+    "gbs = 'D4C0CDAF'\n",
     "bs = binascii.a2b_hex(gbs)\n",
     "print('bs', bs)\n",
     "print('decode-bs:', bs.decode('gbk'))\n",
@@ -1440,7 +1458,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/文件操作.ipynb b/文件操作.ipynb
index f2daac4..ec60e3e 100644
--- a/文件操作.ipynb
+++ b/文件操作.ipynb
@@ -1247,7 +1247,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/文件管理.ipynb b/文件管理.ipynb
index 6dd3716..8e4b13a 100644
--- a/文件管理.ipynb
+++ b/文件管理.ipynb
@@ -1344,7 +1344,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,