{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 正则表达式分割文本"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import openpyxl\n",
    "import re\n",
    "\n",
    "file_name = 'data/药食材性味归经.xlsx'\n",
    "wb = openpyxl.load_workbook(file_name)\n",
    "sheet = wb.active\n",
    "#sheets = wb.sheetnames\n",
    "\n",
    "list1 = []\n",
    "dict1 = {}\n",
    "mo =r'[。入归].+经$'\n",
    "mo1 = r'[二]'\n",
    "mo2 = r'[，、；]'\n",
    "for n in range(2,sheet.max_row):\n",
    "    name = sheet.cell(n,1).value\n",
    "    content = re.findall(mo,sheet.cell(n,2).value)\n",
    "    if len(content) > 0:\n",
    "        l = len(content[0])\n",
    "        gj = re.sub(mo1, '', content[0][1:l-1])        \n",
    "        list_gj = re.split(mo2,gj)\n",
    "        dict1[sheet.cell(n,1).value ] = list_gj\n",
    "        #dict1['guijing'] = list_gj\n",
    "        \n",
    "filename = './data/药食材归经.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict1, fl,ensure_ascii=False) \n",
    "\n",
    "#print(list1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 药膳归经明细文件生成"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "filename = 'data/药膳210927.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "filename = 'data/药食材归经.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict2 = json.load(fl)\n",
    "k_zy = dict2.keys()\n",
    "dict3 = {}\n",
    "list1 = []\n",
    "for item in dict1:\n",
    "    print(item['name'])\n",
    "    list1 = []\n",
    "    #print(i,item['zy'])\n",
    "    for m_zy in item['zy']:\n",
    "        if m_zy in k_zy:\n",
    "            dict4 = {}\n",
    "            print(m_zy,dict2[m_zy])\n",
    "            dict4[m_zy] = dict2[m_zy]\n",
    "            list1.append(dict4)\n",
    "    dict3[item['name']] = list1\n",
    "filename = './data/药膳药食材.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict3, fl,ensure_ascii=False)             \n",
    "   \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 药膳归经权重生成"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import openpyxl\n",
    "import os,sys,shutil\n",
    "\n",
    "filename = './data/药膳药食材.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "list1 = []\n",
    "for k, v in dict1.items():\n",
    "    if len(v) > 0 :\n",
    "        dict2 = {}\n",
    "        #print(k,v)\n",
    "        ys_name = k\n",
    "        dict2.setdefault(ys_name,{})\n",
    "        for item in v:\n",
    "            for k1, v1 in item.items():\n",
    "                for item1 in v1:\n",
    "                    dict2[ys_name].setdefault(item1,0)\n",
    "                    dict2[ys_name][item1] += 1\n",
    "        list1.append(dict2)                    \n",
    "    \n",
    "dict_qz = {}\n",
    "for item in list1:\n",
    "    for k, v in item.items():\n",
    "        qz = sorted(v.items(), key = lambda kv:(kv[1], kv[0]),reverse=True)\n",
    "        dict_qz[k] = qz\n",
    "#print(dict_qz)\n",
    "qz_key = dict_qz.keys()\n",
    "filename = 'data/药膳210927.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "#print(dict1)\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "sheet['A1'] = '药膳名称'\n",
    "sheet['B1'] = '来源'\n",
    "sheet['C1'] = '配方'\n",
    "sheet['D1'] = '做法'\n",
    "sheet['E1'] = '功效'\n",
    "sheet['F1'] = '中药成分'\n",
    "sheet['G1'] = '归经权重'\n",
    "\n",
    "i =2\n",
    "for item in dict1:\n",
    "    sheet[f'A{i}'] = item['name']\n",
    "    sheet[f'B{i}'] = item['source']\n",
    "    sheet[f'C{i}'] = item['pf']\n",
    "    sheet[f'D{i}'] = item['zf']\n",
    "    sheet[f'E{i}'] = item['gx']\n",
    "    sheet[f'F{i}'] = ','.join(item['zy'])\n",
    "    if item['name'] in qz_key:\n",
    "        s = ''\n",
    "        for m_gj in dict_qz[item['name']]:\n",
    "            s = s+ m_gj[0] +'('+str(m_gj[1])+')'\n",
    "        sheet[f'G{i}'] = s\n",
    "    else:\n",
    "        sheet[f'G{i}'] = '暂无归经'\n",
    "    i += 1\n",
    "\n",
    "wb.save('data/test4.xlsx')    \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 穴位数据导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import re\n",
    "dict1 = {}\n",
    "filename = 'file/zhongyi/xuewei.json'\n",
    "with open(filename,'r',encoding='utf-8') as fl:\n",
    "    for line in fl:\n",
    "        line1 = json.loads(re.sub(r'\\xa0','',line))\n",
    "        list1 = line1['tables']\n",
    "        list2 = line1['contents']\n",
    "        dict2 = dict(zip(list1, list2))\n",
    "        #print(line1['title'],dict1)\n",
    "        #print(dict1.keys())\n",
    "        #print(line1)\n",
    "        dict1.setdefault(line1['title'][0],{})\n",
    "        dict1[line1['title'][0]]['简介'] = line1['jj'] \n",
    "        dict1[line1['title'][0]]['内容'] = dict2\n",
    "filename = './file/穴位.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict1, fl)        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 穴位数据导出Excel表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-24T03:41:43.078279Z",
     "iopub.status.busy": "2021-11-24T03:41:43.077279Z",
     "iopub.status.idle": "2021-11-24T03:41:43.162298Z",
     "shell.execute_reply": "2021-11-24T03:41:43.161298Z",
     "shell.execute_reply.started": "2021-11-24T03:41:43.078279Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "ename": "IndexError",
     "evalue": "list index out of range",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_166520/2691368177.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     23\u001b[0m     \u001b[0msheet\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34mf'E{i}'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mv\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'简介'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m':'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     24\u001b[0m     \u001b[0msheet\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34mf'F{i}'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mv\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'简介'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m4\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m':'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 25\u001b[1;33m     \u001b[0msheet\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34mf'G{i}'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mv\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'简介'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m':'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     26\u001b[0m     \u001b[0mi\u001b[0m \u001b[1;33m+=\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     27\u001b[0m \u001b[0mwb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msave\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mIndexError\u001b[0m: list index out of range"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import openpyxl\n",
    "\n",
    "filename = 'file/穴位.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "filename = 'file/穴位简要情况表.xlsx'\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "sheet['A1'] = '穴位名称'\n",
    "sheet['B1'] = '隶属'\n",
    "sheet['C1'] = '位置'\n",
    "sheet['D1'] = '主治'\n",
    "sheet['E1'] = '功能'\n",
    "sheet['F1'] = '操作'\n",
    "sheet['G1'] = '主要配伍'\n",
    "i = 2\n",
    "for k, v in dict1.items():\n",
    "    sheet[f'A{i}'] = k\n",
    "    sheet[f'B{i}'] = v['简介'][0].split(':')[1]\n",
    "    sheet[f'C{i}'] = v['简介'][1].split(':')[1]\n",
    "    sheet[f'D{i}'] = v['简介'][2].split(':')[1]\n",
    "    sheet[f'E{i}'] = v['简介'][3].split(':')[1]\n",
    "    sheet[f'F{i}'] = v['简介'][4].split(':')[1]\n",
    "    sheet[f'G{i}'] = v['简介'][5].split(':')[1]      \n",
    "    i += 1\n",
    "wb.save(filename)   \n",
    "print('ok!')\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 北海炼化体检数据提取"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-11-24T03:23:57.451845Z",
     "iopub.status.busy": "2021-11-24T03:23:57.451845Z",
     "iopub.status.idle": "2021-11-24T03:23:57.624934Z",
     "shell.execute_reply": "2021-11-24T03:23:57.624934Z",
     "shell.execute_reply.started": "2021-11-24T03:23:57.451845Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import openpyxl\n",
    "import os,sys,shutil\n",
    "\n",
    "file_name = 'file/中石化北海炼化2020年团体体检报告.xlsx'\n",
    "wb = openpyxl.load_workbook(file_name)\n",
    "sheet = wb.active\n",
    "dict1 = {}\n",
    "for n in range(1,sheet.max_row+1):\n",
    "    bh = sheet.cell(n,2).value\n",
    "    name = sheet.cell(n,3).value\n",
    "    xb = sheet.cell(n,4).value\n",
    "    nl = sheet.cell(n,5).value\n",
    "    bz = sheet.cell(n,7).value\n",
    "    dict1.setdefault(bh,{})\n",
    "    dict1[bh]['姓名'] = name\n",
    "    dict1[bh]['性别'] = xb\n",
    "    dict1[bh]['年龄'] = nl\n",
    "    dict1[bh].setdefault('病症',[])\n",
    "    dict1[bh]['病症'].append(bz.strip())\n",
    "wb.close()\n",
    "#print(dict1)\n",
    "    \n",
    "        \n",
    "filename = 'file/中石化北海炼化2020年体检人员情况表.xlsx'\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "sheet['A1'] = '体检编号'\n",
    "sheet['B1'] = '姓名'\n",
    "sheet['C1'] = '性别'\n",
    "sheet['D1'] = '年龄'\n",
    "sheet['E1'] = '异常名称'\n",
    "\n",
    "i =2\n",
    "for k, v in dict1.items():\n",
    "    sheet[f'A{i}'] = k\n",
    "    sheet[f'B{i}'] = v['姓名']\n",
    "    sheet[f'C{i}'] = v['性别']\n",
    "    sheet[f'D{i}'] = v['年龄']\n",
    "    sheet[f'E{i}'] = ','.join(v['病症'])    \n",
    "    i += 1\n",
    "\n",
    "wb.save(filename)    \n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "import pymongo\n",
    "\n",
    "myclient = pymongo.MongoClient('mongodb://512song:songyi@192.168.3.100:27017/tice')\n",
    "#dblist = myclient.list_database_names()\n",
    "mydb = myclient['tice']\n",
    " \n",
    "collist = mydb. list_collection_names()\n",
    "print(collist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import pymongo\n",
    "\n",
    "myclient = pymongo.MongoClient('mongodb://192.168.3.100:27017/')\n",
    "#dblist = myclient.list_database_names()\n",
    "mydb = myclient['tice']\n",
    " \n",
    "collist = mydb. list_collection_names()\n",
    "print(collist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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",
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 "nbformat": 4,
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