{
 "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": 8,
   "id": "d6449ec6-54af-4f68-8c32-69372e390acf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-09-22T12:07:43.029162Z",
     "iopub.status.busy": "2025-09-22T12:07:43.028847Z",
     "iopub.status.idle": "2025-09-22T12:07:43.046141Z",
     "shell.execute_reply": "2025-09-22T12:07:43.045652Z",
     "shell.execute_reply.started": "2025-09-22T12:07:43.029136Z"
    }
   },
   "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, 6).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": 15,
   "id": "c24c957e-6cc5-4cab-81e2-cec86a7498c7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-09-22T12:49:46.218013Z",
     "iopub.status.busy": "2025-09-22T12:49:46.217356Z",
     "iopub.status.idle": "2025-09-22T12:49:46.243578Z",
     "shell.execute_reply": "2025-09-22T12:49:46.242996Z",
     "shell.execute_reply.started": "2025-09-22T12:49:46.217955Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "31\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": 16,
   "id": "a64ad6b7-b1dd-42ca-9619-3adcb8e0674e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-09-22T12:49:52.460408Z",
     "iopub.status.busy": "2025-09-22T12:49:52.459655Z",
     "iopub.status.idle": "2025-09-22T12:49:52.470790Z",
     "shell.execute_reply": "2025-09-22T12:49:52.469571Z",
     "shell.execute_reply.started": "2025-09-22T12:49:52.460338Z"
    }
   },
   "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_通用技术中国医药.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(str(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_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('ok!')        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84ad4891-f424-417c-8818-c9544bff67ef",
   "metadata": {},
   "source": [
    "## 导入问卷信息(新)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "020be101-938b-427e-918d-faf2e74b5b7e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-09-22T12:49:55.871938Z",
     "iopub.status.busy": "2025-09-22T12:49:55.871204Z",
     "iopub.status.idle": "2025-09-22T12:49:55.886755Z",
     "shell.execute_reply": "2025-09-22T12:49:55.885950Z",
     "shell.execute_reply.started": "2025-09-22T12:49:55.871866Z"
    }
   },
   "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": "markdown",
   "id": "7ec62459-2938-4c0c-b35a-f4341630f1c6",
   "metadata": {},
   "source": [
    "## 生成报告"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "17dd5667-d970-46d2-b241-27338dbba4bb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-09-22T12:51:00.278870Z",
     "iopub.status.busy": "2025-09-22T12:51:00.278200Z",
     "iopub.status.idle": "2025-09-22T12:51:14.234951Z",
     "shell.execute_reply": "2025-09-22T12:51:14.233971Z",
     "shell.execute_reply.started": "2025-09-22T12:51:00.278810Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "31\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "import json\n",
    "import openpyxl\n",
    "\n",
    "\n",
    "headers = {\n",
    "    \"Content-Type\": \"application/json; charset=UTF-8\"\n",
    "    }\n",
    "filename = 'data/result_通用技术中国医药-1.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "list1 = []\n",
    "file_path ='./中国医药/'\n",
    "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
    "i=0\n",
    "list2 = []\n",
    "for  k, v in dict1.items():\n",
    "    list1 = []\n",
    "    mydata = {}\n",
    "    \n",
    "    id = str(k).rjust(4,\"0\")\n",
    "    mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
    "    mydata['title'] = '中国医药'\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",
    "    survey_list = ['tcm','psy57','spine']\n",
    "    for item in survey_list:\n",
    "        if item in  v.keys():\n",
    "            mydata.setdefault('surveys',{})\n",
    "            mydata['surveys'][item] = v[item]\n",
    "            \n",
    "    \n",
    "    #mydata['fits'] = {}\n",
    "    for item in list_item:\n",
    "        if item in v.keys():\n",
    "            mydata.setdefault('fits',{})\n",
    "            if item in ['lung','pushup','step','situp']:\n",
    "                mark = str(v[item]['成绩']).split()[0].split('.')[0]\n",
    "            else:\n",
    "                mark = str(v[item]['成绩']).split()[0]\n",
    "            mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
    "    if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
    "    #if len(mydata['fits']) >2 :    \n",
    "        list1.append(mydata)\n",
    "        list2.append([k,v['name']])\n",
    "        i+=1\n",
    "        x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
    "        #print(id,v['name'],x.text)\n",
    "        #print(mydata)\n",
    "        #x.close()\n",
    "print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4297b542-206e-4f0e-9339-ba88e712443e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "language_info": {
   "codemirror_mode": {
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   "file_extension": ".py",
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