{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9caef37c-26bd-4590-abe6-4c0255c2886f",
   "metadata": {},
   "source": [
    "## 人员基本信息导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6ab7bf77-5451-4773-9b13-10e04a48ddfb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-21T06:44:50.778622Z",
     "iopub.status.busy": "2023-04-21T06:44:50.777794Z",
     "iopub.status.idle": "2023-04-21T06:44:51.048732Z",
     "shell.execute_reply": "2023-04-21T06:44:51.047657Z",
     "shell.execute_reply.started": "2023-04-21T06:44:50.778580Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok\n"
     ]
    }
   ],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "wb = openpyxl.load_workbook('data/高新区名单.xlsx')\n",
    "sheet = wb.active\n",
    "# sheets = wb.sheetnames\n",
    "person = {}\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    if sheet.cell(n,2).value is None:\n",
    "        break\n",
    "    else:        \n",
    "        code = int(sheet.cell(n, 1).value)\n",
    "        person.setdefault(code, {})\n",
    "        dict1 = {}\n",
    "        dict1['name'] = sheet.cell(n, 2).value    \n",
    "        sex = str(sheet.cell(n, 3).value)\n",
    "        dict1['sex'] = sex\n",
    "        dict1['birth'] = str(sheet.cell(n,8).value).split(' ')[0]\n",
    "        if sheet.cell(n,5).value is not None:\n",
    "            dict1['phone'] = sheet.cell(n,5).value\n",
    "        person[code] = dict1\n",
    "filename = 'data/高新区.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "502638d8-79d0-4392-953e-047c8428c9a5",
   "metadata": {},
   "source": [
    "## 统计测评人员"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a430da5f-1e5c-447f-96a1-344d03e57b31",
   "metadata": {},
   "source": [
    "### 统计心理测评人员"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7609f3c3-5c52-4b92-a2d5-359bf4a45a10",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-21T07:01:46.516495Z",
     "iopub.status.busy": "2023-04-21T07:01:46.515666Z",
     "iopub.status.idle": "2023-04-21T07:01:46.605645Z",
     "shell.execute_reply": "2023-04-21T07:01:46.604904Z",
     "shell.execute_reply.started": "2023-04-21T07:01:46.516452Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "213\n"
     ]
    }
   ],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "import csv\n",
    "filename = 'data/高新区.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "cjry = set()\n",
    "filename = 'data/Survey_20230421-psy.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",
    "        cjry.add(line[2])\n",
    "print(len(cjry))\n",
    "list2 = []\n",
    "for k, v in person.items():    \n",
    "    #if 'phone' in v.keys() and v['phone'] in cjry:\n",
    "    if 'phone' in v.keys() and v['phone'] not in cjry:\n",
    "        list2.append([k,dict1[str(k)]['name'],dict1[str(k)]['phone']])\n",
    "        \n",
    "filename = 'data/高新未参加心理评估人员(20230421).xlsx'\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "#sheet.append(title)\n",
    "for row in list2:\n",
    "    sheet.append(row)\n",
    "    \n",
    "wb.save(filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "519d9b3a-d0d8-44aa-a17d-65e7f21f088b",
   "metadata": {},
   "source": [
    "### 统计中医测评人员"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fd2391c1-8d73-4714-8c20-42161b3eb493",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-21T07:03:35.174975Z",
     "iopub.status.busy": "2023-04-21T07:03:35.174533Z",
     "iopub.status.idle": "2023-04-21T07:03:35.240353Z",
     "shell.execute_reply": "2023-04-21T07:03:35.239435Z",
     "shell.execute_reply.started": "2023-04-21T07:03:35.174944Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "217\n"
     ]
    }
   ],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "import csv\n",
    "filename = 'data/高新区.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "cjry = set()\n",
    "filename = 'data/Survey_20230421-tcm1.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",
    "        cjry.add(line[2])\n",
    "print(len(cjry))\n",
    "list2 = []\n",
    "for k, v in person.items():    \n",
    "    #if 'phone' in v.keys() and v['phone'] in cjry:\n",
    "    if 'phone' in v.keys() and v['phone'] not in cjry:\n",
    "        list2.append([k,dict1[str(k)]['name'],dict1[str(k)]['phone']])\n",
    "        \n",
    "filename = 'data/高新未参加中医评估人员(20230421).xlsx'\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "#sheet.append(title)\n",
    "for row in list2:\n",
    "    sheet.append(row)\n",
    "    \n",
    "wb.save(filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b717a78-52db-4894-83c6-731a4935a02d",
   "metadata": {},
   "source": [
    "### 统计信息缺少人员信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fd5af221-9369-4eab-884c-06885c940d88",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-21T07:16:05.935096Z",
     "iopub.status.busy": "2023-04-21T07:16:05.934235Z",
     "iopub.status.idle": "2023-04-21T07:16:05.967884Z",
     "shell.execute_reply": "2023-04-21T07:16:05.966719Z",
     "shell.execute_reply.started": "2023-04-21T07:16:05.935054Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "235\n"
     ]
    }
   ],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "import csv\n",
    "filename = 'data/高新区.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "cjry = set()\n",
    "filename = 'data/Survey_20230421.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",
    "        cjry.add(line[2])\n",
    "print(len(cjry))\n",
    "phones = set()\n",
    "for k, v in person.items():    \n",
    "    #if 'phone' in v.keys() and v['phone'] in cjry:\n",
    "    if 'phone' in v.keys():\n",
    "        phones.add(v['phone'])\n",
    "list2 = []\n",
    "for item in cjry:    \n",
    "    if item  not in phones:\n",
    "        list2.append(['','',item])\n",
    "filename = 'data/高新缺失信息人员(20230421).xlsx'\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "#sheet.append(title)\n",
    "for row in list2:\n",
    "    sheet.append(row)\n",
    "    \n",
    "wb.save(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "01933c1f-b7e8-46ff-8a52-f415fca82e27",
   "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": "3.10.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}