{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "86c59eaa-b1fd-47f3-aa0d-3ad3626df3bf",
   "metadata": {},
   "source": [
    "# 中医体质管理"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e791846d-699f-4803-b898-bda8f1a30dd2",
   "metadata": {},
   "source": [
    "## 中医体质数据管理"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19cd094e-8228-4f21-9897-9e8bef990d4e",
   "metadata": {},
   "source": [
    "### 体质监测数据生成"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1f58bd08-d20b-4a76-a841-ac7e132a54b7",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import re\n",
    "import json\n",
    "\n",
    "file_name = 'data/130.txt'\n",
    "list1 =[]\n",
    "dict1 = {}\n",
    "with open(file_name,'r') as fl:\n",
    "    for l in fl:\n",
    "        list2 = []\n",
    "        l = re.sub('[\\r\\n\\f ]{1,}', '', l)\n",
    "        list2 = l.split(',')\n",
    "        if list2[0] != '' and list2[5] != '':\n",
    "            dict1[list2[0]] = [list2[1],list2[2],list2[3],list2[4],list2[5]+list2[6]]\n",
    "filename = 'data/130中医体质.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict1, fl) \n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0f172a9-a0f3-4d53-90f0-39dda318c59b",
   "metadata": {},
   "source": [
    "### 测试人员分类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e83b31a6-4fae-40be-8159-fd509999c6d5",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "dict1 = {}\n",
    "filename = 'data/交警支队完成情况.xlsx'\n",
    "wb = openpyxl.load_workbook(filename)\n",
    "sheet = wb.active\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    bh = sheet.cell(n, 1).value\n",
    "    xm = sheet.cell(n, 3).value\n",
    "    if sheet.cell(n,8).value is not None:\n",
    "        dict1.setdefault('1', [])\n",
    "        dict1['1'].append(bh) \n",
    "    elif sheet.cell(n,8).value is None and sheet.cell(n,6).value is not None:\n",
    "        dict1.setdefault('2', [])\n",
    "        dict1['2'].append(bh)\n",
    "    elif sheet.cell(n,8).value is None and sheet.cell(n,6).value is None and sheet.cell(n,7).value is not None:\n",
    "        dict1.setdefault('3', [])\n",
    "        dict1['3'].append(bh)\n",
    "filename = 'data/交警支队完成人员分类.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict1, fl) \n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "566b134f-03ac-4f79-994e-f4a512d9e5f1",
   "metadata": {},
   "source": [
    "### 生成测试人员分类表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1d0c8452-c3ac-4901-83cf-cefdeebee956",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-08-12T01:54:03.835733Z",
     "iopub.status.busy": "2022-08-12T01:54:03.835180Z",
     "iopub.status.idle": "2022-08-12T01:54:04.266745Z",
     "shell.execute_reply": "2022-08-12T01:54:04.265693Z",
     "shell.execute_reply.started": "2022-08-12T01:54:03.835686Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import csv\n",
    "import openpyxl\n",
    "\n",
    "dict1 = {}\n",
    "filename = 'data/交警支队成绩.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",
    "        dict1[line[0]] = line\n",
    "filename = 'data/交警支队分组.xlsx'\n",
    "wb = openpyxl.load_workbook(filename)\n",
    "\n",
    "fl_name = 'data/交警支队完成人员分类.json'\n",
    "with open(fl_name,'r') as fl:\n",
    "     m_xx = json.load(fl)\n",
    "for k, v in m_xx.items():\n",
    "    if k == '1':\n",
    "        sheet = wb['参加中医体质人员']\n",
    "        i = 2\n",
    "        for item in v:\n",
    "            bh = str(item) \n",
    "            sheet[f'A{i}'] = dict1[bh][4]\n",
    "            sheet[f'B{i}'] = dict1[bh][1]\n",
    "            sheet[f'C{i}'] = dict1[bh][2]\n",
    "            sheet[f'D{i}'] = dict1[bh][3]\n",
    "            sheet[f'E{i}'] = dict1[bh][26]\n",
    "            sheet[f'F{i}'] = dict1[bh][27]\n",
    "            i+=1\n",
    "    elif k == '2':\n",
    "        sheet = wb['参加体测未参加中医体测']\n",
    "        i = 2\n",
    "        for item in v:\n",
    "            bh = str(item)\n",
    "            list1 = dict1[bh]\n",
    "            for n in range(26):\n",
    "                sheet.cell(column = n+1, row=i, value=list1[n])\n",
    "            i+=1\n",
    "    else:\n",
    "        sheet = wb['只参加心理未参加中医']\n",
    "        i = 2\n",
    "        for item in v:\n",
    "            bh = str(item)\n",
    "            sheet[f'A{i}'] = bh\n",
    "            sheet[f'B{i}'] = dict1[bh][4]\n",
    "            sheet[f'C{i}'] = dict1[bh][1]\n",
    "            sheet[f'D{i}'] = dict1[bh][2]\n",
    "            sheet[f'E{i}'] = dict1[bh][3]\n",
    "            list1 = dict1[bh]\n",
    "            for n in range(6,16):\n",
    "                sheet.cell(column = n, row=i, value=list1[31+n])\n",
    "            i+=1         \n",
    "            \n",
    "wb.save('data/交警支队分组1.xlsx') "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56998dde-2263-46f1-b315-75be8488ece1",
   "metadata": {},
   "source": [
    "### 人员手机号码核对"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c897d05b-6e6a-46f0-897f-7ec670aba0a0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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