20250922

体测单位/北海炼化.ipynb

@@ -4,7 +4,6 @@
    "cell_type": "markdown",
    "id": "1c72f0cf-165b-4025-af9d-6771e4a0a5d1",
    "metadata": {
-    "jp-MarkdownHeadingCollapsed": true,
     "tags": []
    },
    "source": [
@@ -114,7 +113,96 @@
     "    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_北海炼化2022.json'\n",
+    "filename = 'data/result_北海炼化2022-1.json'\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(re_ta, fl) \n",
+    "print('ok')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "d2598172-cede-4baa-920e-3d676c079b7b",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-09-17T01:50:24.312281Z",
+     "iopub.status.busy": "2025-09-17T01:50:24.311666Z",
+     "iopub.status.idle": "2025-09-17T01:50:24.427182Z",
+     "shell.execute_reply": "2025-09-17T01:50:24.426684Z",
+     "shell.execute_reply.started": "2025-09-17T01:50:24.312223Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ok\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import time\n",
+    "import csv\n",
+    "from datetime import date,datetime\n",
+    "\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",
+    "\n",
+    "filename = 'data/北海炼化人员_2022.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict2 = json.load(fl) \n",
+    "\n",
+    "re_ta = {}\n",
+    "dict1 = {}\n",
+    "list1 = []\n",
+    "#print(\"\\n运动项目信息：\")\n",
+    "filename = 'data/138_2210.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",
+    "    \n",
+    "    #re_ta[user]['rq'] = str(result[3]).replace('/','-')\n",
+    "    date_obj = datetime.strptime(result[3], \"%Y/%m/%d\")\n",
+    "    re_ta[user]['rq'] = date_obj.strftime('%Y-%m-%d')\n",
+    "    \n",
+    "    \n",
+    "    \n",
+    "    #item_name = item[m_item]['name']\n",
+    "    re_ta[user].setdefault(m_item,{})  \n",
+    "    score = int(result[1])/item[m_item]['divisor']    \n",
+    "    re_ta[user][m_item]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
+    "    #re_ta[user][item_name]['得分'] =result[2]\n",
+    "for k,v in re_ta.items():\n",
+    "    v['birth'] = dict2[k]['birth']\n",
+    "    birth = date.fromisoformat(dict2[k]['birth'].replace('/','-'))\n",
+    "    rq = date.fromisoformat(re_ta[user]['rq'].replace('/','-'))\n",
+    "    days = (rq-birth).days \n",
+    "    v['days'] = days\n",
+    "    v['age'] = int(days/365)\n",
+    "    v['sex'] = dict2[k]['sex']\n",
+    "    if 'height' in v.keys() and 'height' in v.keys():\n",
+    "        v.setdefault('bmi',{})\n",
+    "        v['bmi']['成绩'] = v['height']['成绩'].split()[0]+','+v['weight']['成绩'].split()[0]\n",
+    "        \n",
+    "filename = 'data/result_北海炼化2022-1.json'\n",
     "with open(filename,'w') as fl:\n",
     "    json.dump(re_ta, fl) \n",
     "print('ok')"
@@ -636,6 +724,7 @@
    "cell_type": "markdown",
    "id": "c103301b-d540-4bf5-861a-0eb2e313e26e",
    "metadata": {
+    "jp-MarkdownHeadingCollapsed": true,
     "tags": []
    },
    "source": [
@@ -1982,7 +2071,9 @@
   {
    "cell_type": "markdown",
    "id": "a51dadfb-30e7-40f3-a437-321aa986a10f",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "# 北海体检情况汇总"
    ]
@@ -2089,9 +2180,7 @@
   {
    "cell_type": "markdown",
    "id": "76c5c17a-462d-4a7b-95a5-6b895f5a25dc",
-   "metadata": {
+   "metadata": {},
-    "jp-MarkdownHeadingCollapsed": true
-   },
    "source": [
     "# 2024年体质检测"
    ]
@@ -2353,6 +2442,64 @@
     "print('ok!')        "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "c5846968-1f2e-46b5-a79c-e2f129e5c233",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-09-17T01:51:05.541822Z",
+     "iopub.status.busy": "2025-09-17T01:51:05.541072Z",
+     "iopub.status.idle": "2025-09-17T01:51:05.595736Z",
+     "shell.execute_reply": "2025-09-17T01:51:05.595210Z",
+     "shell.execute_reply.started": "2025-09-17T01:51:05.541754Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ok!\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import time\n",
+    "import my_module as My\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_北海炼化2022-1.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict2 = json.load(fl) \n",
+    "for k, v in dict2.items():\n",
+    "    #print(k)\n",
+    "    if v['sex'] == '男':\n",
+    "        sex = 'M'\n",
+    "    else:\n",
+    "        sex = 'F'            \n",
+    "    if 'bmi' in v.keys():\n",
+    "        #bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
+    "        bmi_data = v['bmi']['成绩']\n",
+    "        data1 = {'code':k,'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'] = My.cal_bmi(data1)\n",
+    "    for item_en in list_item:\n",
+    "        if item_en in v.keys():            \n",
+    "            data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
+    "            #print(k,v['name'])\n",
+    "            dict2[k][item_en]['score'] = My.cal_score(data1)\n",
+    "            #print(k,v[item_en]['成绩'],cal_score(data1))\n",
+    "\n",
+    "filename = f'data/result_北海炼化2022-1.json'\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(dict2,fl , ensure_ascii=False) \n",
+    "print('ok!')        "
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "5b9aef88-0341-4af0-8316-c7e2266f4b0c",
@@ -2650,6 +2797,82 @@
     "print('ok')       "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "98e43475-06ca-42bc-b352-5c92a554e2c2",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-09-17T02:01:52.580879Z",
+     "iopub.status.busy": "2025-09-17T02:01:52.580448Z",
+     "iopub.status.idle": "2025-09-17T02:01:52.867257Z",
+     "shell.execute_reply": "2025-09-17T02:01:52.866600Z",
+     "shell.execute_reply.started": "2025-09-17T02:01:52.580841Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ok\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import openpyxl\n",
+    "\n",
+    "items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
+    "bmi = ['height','weight']\n",
+    "title = ['编号','姓名','性别','单位/部门','身高','体重','bmi','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",
+    "\n",
+    "filename = 'data/result_北海炼化2022-1.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "\n",
+    "list1 = []\n",
+    "for k, v in dict1.items():    #print(k,dict2[str(k)]['name'])\n",
+    "    list2 = []\n",
+    "    list2.append(str(k).rjust(5,'0'))\n",
+    "    list2.append(dict1[k]['name'])    \n",
+    "    list2.append(dict1[k]['sex'])\n",
+    "    list2.append(dict1[k]['unit'])\n",
+    "    i = 0\n",
+    "    if 'bmi' in dict1[k].keys():\n",
+    "        list2.append(dict1[k]['bmi']['成绩'].split(',')[0])\n",
+    "        list2.append(dict1[k]['bmi']['成绩'].split(',')[1])\n",
+    "        list2.append(dict1[k]['bmi']['score'])\n",
+    "        i+=1\n",
+    "    else:\n",
+    "        list2.append('') \n",
+    "        list2.append('') \n",
+    "        list2.append('') \n",
+    "           \n",
+    "        \n",
+    "    for item in items:\n",
+    "        if item in dict1[k].keys():\n",
+    "            list2.append(dict1[k][item]['成绩'])\n",
+    "            list2.append(dict1[k][item]['score']) \n",
+    "            i+=1\n",
+    "        elif item =='name':\n",
+    "            list2.append(dict1[k][item])\n",
+    "        else:\n",
+    "            list2.append('') \n",
+    "            list2.append('') \n",
+    "    if i>2:\n",
+    "        list1.append(list2)\n",
+    "filename = 'data/北海炼化体测情况明细表（2022年）.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)\n",
+    "print('ok')       "
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "b46477dd-f9d0-40b8-ae25-62f3ffb5dc1e",

体测单位/通用技术中国医药.ipynb

@@ -0,0 +1,277 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1853a5ff-55c9-4c07-bc84-66e86b238fdc",
+   "metadata": {},
+   "source": [
+    "## 人员基本信息导入"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "d6449ec6-54af-4f68-8c32-69372e390acf",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-09-22T03:30:37.564857Z",
+     "iopub.status.busy": "2025-09-22T03:30:37.564250Z",
+     "iopub.status.idle": "2025-09-22T03:30:37.781384Z",
+     "shell.execute_reply": "2025-09-22T03:30:37.780531Z",
+     "shell.execute_reply.started": "2025-09-22T03:30:37.564798Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "33 ok\n"
+     ]
+    }
+   ],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "\n",
+    "\n",
+    "wb = openpyxl.load_workbook('data/通用技术中国医药人员信息.xlsx',data_only=True)\n",
+    "sheet = wb.active\n",
+    "# sheets = wb.sheetnames\n",
+    "person = {}\n",
+    "\n",
+    "for n in range(2, sheet.max_row+1):\n",
+    "    code = int(sheet.cell(n, 1).value)\n",
+    "    person.setdefault(code, {})\n",
+    "    dict1 = {}\n",
+    "    dict1['name'] = sheet.cell(n, 2).value\n",
+    "    #dict1['sex'] = sheet.cell(n, 5).value\n",
+    "    dict1['unit'] = sheet.cell(n, 4).value    \n",
+    "    dict1['birth'] = str(sheet.cell(n, 3).value).replace('/','-').split(' ')[0]\n",
+    "    dict1['phone'] = sheet.cell(n, 5).value \n",
+    "    person[code] = dict1\n",
+    "filename = 'data/通用技术中国医药人员.json'\n",
+    "with open(filename, 'w') as fl:\n",
+    "    json.dump(person, fl, ensure_ascii=False)\n",
+    "print(len(person),'ok')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7b114094-afdc-4776-8fb7-19ac05162e68",
+   "metadata": {},
+   "source": [
+    "## 导入手工数据"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "c24c957e-6cc5-4cab-81e2-cec86a7498c7",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-09-22T03:48:21.444109Z",
+     "iopub.status.busy": "2025-09-22T03:48:21.443422Z",
+     "iopub.status.idle": "2025-09-22T03:48:21.472961Z",
+     "shell.execute_reply": "2025-09-22T03:48:21.472454Z",
+     "shell.execute_reply.started": "2025-09-22T03:48:21.444045Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "33\n"
+     ]
+    }
+   ],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "import time\n",
+    "from datetime import date\n",
+    "\n",
+    "wb = openpyxl.load_workbook('data/通用技术中国医药手工数据.xlsx',data_only=True)\n",
+    "sheet = wb.active\n",
+    "# sheets = wb.sheetnames\n",
+    "\n",
+    "filename = 'data/通用技术中国医药人员.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "\n",
+    "dict2 = {}\n",
+    "\n",
+    "for n in range(2, sheet.max_row+1):\n",
+    "    code = str(sheet.cell(n, 1).value)\n",
+    "    rq = date.fromisoformat('2025-09-18')\n",
+    "    birth = date.fromisoformat(dict1[code]['birth'].replace('/','-'))\n",
+    "    dict2[code] = dict1[code]\n",
+    "    days = (rq-birth).days\n",
+    "    dict2[code]['age'] = int(days/365)\n",
+    "    dict2[code]['month'] = int(days/365*12)\n",
+    "    dict2[code]['rq'] = '2025-09-18'\n",
+    "    if sheet.cell(n,4).value:\n",
+    "        dict2[code].setdefault('reaction',{})\n",
+    "        dict2[code]['reaction']['成绩'] = sheet.cell(n, 4).value\n",
+    "    if sheet.cell(n,5).value:\n",
+    "        dict2[code].setdefault('grip',{})\n",
+    "        dict2[code]['grip']['成绩'] = sheet.cell(n, 5).value\n",
+    "    if sheet.cell(n,7).value:\n",
+    "        dict2[code].setdefault('lung',{})\n",
+    "        dict2[code]['lung']['成绩'] = sheet.cell(n, 7).value\n",
+    "    if sheet.cell(n,6).value:\n",
+    "        dict2[code].setdefault('balance',{})\n",
+    "        dict2[code]['balance']['成绩'] = sheet.cell(n, 6).value\n",
+    "    if sheet.cell(n,3).value:\n",
+    "        dict2[code].setdefault('bmi',{})\n",
+    "        dict2[code]['bmi']['成绩'] = sheet.cell(n, 3).value\n",
+    "\n",
+    "\n",
+    "filename = 'data/result_通用技术中国医药.json'\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(dict2, fl, ensure_ascii=False) \n",
+    "print(len(dict2))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "57aedeb8-02e6-47d2-a54a-e803d441104a",
+   "metadata": {},
+   "source": [
+    "## 生成测试得分"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a64ad6b7-b1dd-42ca-9619-3adcb8e0674e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "84ad4891-f424-417c-8818-c9544bff67ef",
+   "metadata": {},
+   "source": [
+    "## 导入问卷信息(新)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "020be101-938b-427e-918d-faf2e74b5b7e",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-09-22T03:57:31.502714Z",
+     "iopub.status.busy": "2025-09-22T03:57:31.501987Z",
+     "iopub.status.idle": "2025-09-22T03:57:31.516781Z",
+     "shell.execute_reply": "2025-09-22T03:57:31.515780Z",
+     "shell.execute_reply.started": "2025-09-22T03:57:31.502649Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import csv\n",
+    "import openpyxl\n",
+    "import time\n",
+    "from datetime import date\n",
+    "\n",
+    "\n",
+    "\n",
+    "dict1 = {}\n",
+    "\n",
+    "filename = 'data/result_通用技术中国医药.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "filename = 'data/通用技术中国医药人员.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict3 = json.load(fl)\n",
+    "\n",
+    "phone =  {}\n",
+    "for k,v in dict3.items():\n",
+    "    if 'phone' in v.keys():\n",
+    "        phone[int(v['phone'])] = k\n",
+    "\n",
+    "list1 = []\n",
+    "filename = 'data/survey_records_20250922.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",
+    "        list1.append(line)\n",
+    "\n",
+    "nn = 0\n",
+    "for item in list1:\n",
+    "     if int(item[3]) in phone.keys():        \n",
+    "        tcm = []\n",
+    "        code = phone[int(item[3])]\n",
+    "        \n",
+    "        for i in range(0,60):\n",
+    "            tcm.append(0)\n",
+    "        \n",
+    "       \n",
+    "        content = json.loads(item[4])\n",
+    "        if code not in dict1.keys():\n",
+    "            dict1[code] = dict3[code]\n",
+    "            rq = date.fromisoformat(item[5].replace('/','-').split(' ')[0])\n",
+    "            dict1[code]['rq'] = str(date.fromisoformat(item[5].replace('/','-').split(' ')[0]))\n",
+    "            #dict1[code]['rq'] = item[5].replace('/','-').split(' ')[0]\n",
+    "        else:\n",
+    "            rq=date.fromisoformat('2025-09-18')\n",
+    "            dict1[code]['rq'] = '2025-09-18'\n",
+    "        for k, v in content.items():\n",
+    "           \n",
+    "            if 'tcm' in k:\n",
+    "                i = int(k[3:])\n",
+    "                tcm[i-1] = int(v)           \n",
+    "        \n",
+    "        if 'tcm' in item[4]:            \n",
+    "            dict1[code]['tcm'] = tcm\n",
+    "       \n",
+    "        birth = date.fromisoformat(dict3[code]['birth'].replace('/','-'))\n",
+    "        \n",
+    "        days =  (rq-birth).days          \n",
+    "        dict1[code]['age'] = int(days/365)\n",
+    "        dict1[code]['month'] = int(days/365*12)\n",
+    "        #print(phone[item[2]])\n",
+    "        nn+=1\n",
+    "filename = 'data/result_通用技术中国医药-1.json'\n",
+    "\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(dict1, fl, ensure_ascii=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9560d0ca-4d39-400b-b054-214e243ca4e5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}