{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4b749231-7ab9-4dcd-8cfd-7b9be485d3c6",
   "metadata": {},
   "source": [
    "## 低碳院人员信息对应关系及导出"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1a52629c-52b3-47ee-9796-9db0befc5140",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os,sys,shutil\n",
    "import openpyxl\n",
    "import math\n",
    "import json\n",
    "\n",
    "fi_xls = 'data/北京低碳监测.xlsx'\n",
    "old = []\n",
    "dict1 = {}\n",
    "dict2 = {}\n",
    "dict3 = {}\n",
    "wb = openpyxl.load_workbook(fi_xls)\n",
    "sheet = wb.active\n",
    "depart = []\n",
    "for n in range(2,sheet.max_row+1):    \n",
    "    m_name = sheet.cell(n,6).value\n",
    "    m_depart = sheet.cell(n,3).value\n",
    "    if sheet.cell(n,4).value is not None:\n",
    "        dict1[int(sheet.cell(n,4).value)] = [m_name,m_depart]\n",
    "fi_xls = 'data/低碳院人员邮件信息.xlsx'\n",
    "\n",
    "wb = openpyxl.load_workbook(fi_xls)\n",
    "sheet = wb.active\n",
    "for n in range(2,sheet.max_row+1):    \n",
    "    m_dm = sheet.cell(n,3).value\n",
    "    m_depart = sheet.cell(n,2).value\n",
    "    m_name = sheet.cell(n,4).value\n",
    "    m_email = sheet.cell(n,3).value+sheet.cell(n,6).value\n",
    "\n",
    "    if sheet.cell(n,3).value is not None:\n",
    "        dict2[sheet.cell(n,3).value] = [m_name,m_depart,m_email]\n",
    "#print(dict2)\n",
    "for item in dict1.keys():\n",
    "    old.append(item)\n",
    "old.sort()\n",
    "\n",
    "for n in old:\n",
    "    m_name = dict1[n][0]\n",
    "    m_depart = dict1[n][1]\n",
    "    for item in dict2.values():\n",
    "        if m_name in item and m_depart in item:\n",
    "            dict3[int(n)] = [m_name,m_depart,item[2]]\n",
    "            break\n",
    "dict3[232] = ['王锐','新能源技术研究中心','20063984@ceic.com']\n",
    "dict3[213] = ['王锐','新能源技术研究中心','17240222@ceic.com']\n",
    "\n",
    "fi_xls = 'data/汇总表.xlsx'\n",
    "\n",
    "wb = openpyxl.load_workbook(fi_xls)\n",
    "sheet = wb.active\n",
    "for n in range(2,sheet.max_row+1):    \n",
    "    m_dm = int(sheet.cell(n,1).value)\n",
    "    m_pn = sheet.cell(n,6).value\n",
    "    m_xb = sheet.cell(n,3).value\n",
    "    m_birth = sheet.cell(n,4).value\n",
    "    if sheet.cell(n,1).value is not None:\n",
    "        dict3[m_dm].append(m_xb)\n",
    "        dict3[m_dm].append(m_birth)\n",
    "        dict3[m_dm].append(m_pn)\n",
    "#print(dict2)\n",
    "\n",
    "with open('data/低碳院人员信息.json','w') as fl2:\n",
    "    json.dump(dict3,fl2,ensure_ascii=False)    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2494ff3b-f52f-4933-9879-1b47857d8c67",
   "metadata": {},
   "source": [
    "## 低碳院人员体质分组"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b18747ae-bda7-40bb-af9d-76a987608b81",
   "metadata": {},
   "source": [
    "### 导出至Excel文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a1473ba9-9d8b-4b8a-91a4-d72d680aed8b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "dict1 = {}\n",
    "fl_name = 'data/低碳院人员信息.json'\n",
    "with open(fl_name,'r') as fl:\n",
    "     m_xx = json.load(fl)\n",
    "        \n",
    "#print(m_xx)\n",
    "fi_xls = 'data/适应A组.xlsx'\n",
    "wb = openpyxl.load_workbook(fi_xls)\n",
    "sheet = wb.active\n",
    "for n in range(2,sheet.max_row+1):\n",
    "    if sheet.cell(n,3).value is not None:\n",
    "        m_dm = str(sheet.cell(n,1).value)\n",
    "        m_name = sheet.cell(n,2).value\n",
    "        m_email = m_xx[m_dm][2]\n",
    "        m_pn = m_xx[m_dm][3]\n",
    "        dict1[m_dm.rjust(5,\"0\")] = [m_name,m_email,m_pn]\n",
    "m_dm = []\n",
    "for item in dict1.keys():\n",
    "    m_dm.append(item.rjust(5,\"0\"))\n",
    "m_dm.sort()\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "i = 2\n",
    "sheet[f'A1'] = '编号'\n",
    "sheet[f'B1'] = '姓名'\n",
    "sheet[f'C1'] = '邮箱'\n",
    "sheet[f'D1'] = '电话'\n",
    "for item in m_dm:\n",
    "    sheet[f'A{i}'] = item\n",
    "    sheet[f'B{i}'] = dict1[item][0]\n",
    "    sheet[f'C{i}'] = dict1[item][1]\n",
    "    sheet[f'D{i}'] = dict1[item][2]\n",
    "    i+=1\n",
    "wb.save('data/A.xlsx') "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1bb5122f-6100-44b4-9f65-9fac74f69136",
   "metadata": {},
   "source": [
    "### 导出邮件发送人信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9635e141-60f7-4128-baed-d9c31c1fb1b1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "dict1 = {}\n",
    "fl_name = 'data/低碳院人员信息.json'\n",
    "with open(fl_name,'r') as fl:\n",
    "     m_xx = json.load(fl)\n",
    "        \n",
    "#print(m_xx)\n",
    "list1 = []\n",
    "fi_xls = 'data/适应A组.xlsx'\n",
    "wb = openpyxl.load_workbook(fi_xls)\n",
    "sheet = wb.active\n",
    "for n in range(2,sheet.max_row+1):\n",
    "    if sheet.cell(n,3).value is not None:\n",
    "        m_dm = str(sheet.cell(n,1).value)\n",
    "        m_name = sheet.cell(n,2).value\n",
    "        m_email = m_xx[m_dm][2]\n",
    "        m_pn = m_xx[m_dm][3]\n",
    "        dict1[m_dm.rjust(5,\"0\")] = [m_name,m_email,m_pn]\n",
    "m_dm = []\n",
    "for item in dict1.keys():\n",
    "    m_dm.append(item)\n",
    "m_dm.sort()\n",
    "for s in m_dm:\n",
    "    if dict1[s][1]:\n",
    "        list1.append(dict1[s][1])\n",
    "#print(';'.join(list1))\n",
    "m_len = len(list1)\n",
    "if m_len > 200:\n",
    "    mail_list1 = []\n",
    "    mail_list2 = []\n",
    "    mail_list3 = []\n",
    "    for i in range(0,100):\n",
    "        mail_list1.append(list1[i])\n",
    "    for i in range(100,200):\n",
    "        mail_list2.append(list1[i])\n",
    "    for i in range(200,m_len):\n",
    "        mail_list3.append(list1[i])\n",
    "    #print(len(mail_list1),len(mail_list2))\n",
    "    print(';'.join(mail_list1))\n",
    "    print('\\n')\n",
    "    print(';'.join(mail_list2))\n",
    "    print('\\n')\n",
    "    print(';'.join(mail_list3))\n",
    "else:\n",
    "    mail_list1 = []\n",
    "    for i in range(0,m_len):\n",
    "        mail_list1.append(list1[i])\n",
    "    print(';'.join(mail_list1))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce79e61f-83c4-4425-b27b-e9edf8fb20cd",
   "metadata": {},
   "source": [
    "### 汇总分组导出Excel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "ad88fd2a-39ce-4a88-bd4a-7699264fd47d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-08-02T00:02:15.159762Z",
     "iopub.status.busy": "2022-08-02T00:02:15.159231Z",
     "iopub.status.idle": "2022-08-02T00:02:15.980533Z",
     "shell.execute_reply": "2022-08-02T00:02:15.979419Z",
     "shell.execute_reply.started": "2022-08-02T00:02:15.159712Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "dict1 = {}\n",
    "fl_name = 'data/低碳院人员信息.json'\n",
    "with open(fl_name,'r') as fl:\n",
    "     dict1 = json.load(fl)\n",
    "        \n",
    "#print(m_xx)\n",
    "list1 = ['适应A组','适应B组','适应C组','提高组']\n",
    "for item in list1:\n",
    "    fi_xls = f'data/{item}.xlsx'\n",
    "    wb = openpyxl.load_workbook(fi_xls)\n",
    "    sheet = wb.active\n",
    "    for n in range(2,sheet.max_row+1):\n",
    "        if sheet.cell(n,3).value is not None:\n",
    "            m_dm = str(sheet.cell(n,1).value)            \n",
    "            dict1[m_dm].append(item)\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "sheet['A1'] = '编号'\n",
    "sheet['B1'] = '姓名'\n",
    "sheet['C1'] = '性别'\n",
    "sheet['D1'] = '出生日期'\n",
    "sheet['E1'] = '部门'\n",
    "sheet['F1'] = '邮件'\n",
    "sheet['G1'] = '联系电话'\n",
    "sheet['H1'] = '组别'\n",
    "i = 2   \n",
    "for k, v in dict1.items():    \n",
    "    sheet[f'A{i}'] = k\n",
    "    sheet[f'B{i}'] = v[0]\n",
    "    sheet[f'C{i}'] = v[3]\n",
    "    sheet[f'D{i}'] = v[4]\n",
    "    sheet[f'E{i}'] = v[1]\n",
    "    sheet[f'F{i}'] = v[2]\n",
    "    sheet[f'G{i}'] = v[5]\n",
    "    sheet[f'H{i}'] = v[6]\n",
    "    i+= 1\n",
    "    \n",
    "wb.save('data/低碳院人员运动分组表.xlsx')   "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "231a0872-34ac-4121-870e-ba398a158576",
   "metadata": {},
   "source": [
    "## 合并人员成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "968eacff-74c0-4a2f-aa2a-c29b6da71364",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import math\n",
    "import json\n",
    "\n",
    "dict1 = {}\n",
    "\n",
    "        \n",
    "#print(m_xx)\n",
    "fi_xls = 'data/成绩得分4.xlsx'\n",
    "wb = openpyxl.load_workbook(fi_xls)\n",
    "sheet = wb.active\n",
    "for n in range(2,sheet.max_row+1):\n",
    "    if sheet.cell(n,1).value is not None:\n",
    "        m_dm = sheet.cell(n,1).value\n",
    "        list1 = []\n",
    "        for i in range(2,28):\n",
    "            list1.append(sheet.cell(n,i).value)\n",
    "        dict1[m_dm] = list1\n",
    "fi_xls = 'data/成绩得分5.xlsx'\n",
    "wb = openpyxl.load_workbook(fi_xls)\n",
    "sheet = wb.active\n",
    "for n in range(2,sheet.max_row+1):\n",
    "    if sheet.cell(n,1).value is not None:\n",
    "        m_dm = sheet.cell(n,1).value\n",
    "        list1 = []\n",
    "        for i in range(2,28):\n",
    "            list1.append(sheet.cell(n,i).value)\n",
    "        dict1[m_dm] = list1\n",
    "#print(dict1)\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "i = 1\n",
    "   \n",
    "for k, v in dict1.items():\n",
    "    m_bh = str(k).rjust(5,\"0\")\n",
    "    list2=['B','C','D','E','F','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z','AA']\n",
    "    sheet[f'A{i}'] = k\n",
    "    for ii in range(0,26):        \n",
    "        sheet[f'{list2[ii]}{i}'] = v[ii]\n",
    "        ii+= 1\n",
    "    i+= 1\n",
    "    \n",
    "wb.save('data/合并.xlsx')     \n",
    "    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bef4bd3-99e8-4a2d-a418-77f832b1254a",
   "metadata": {},
   "source": [
    "## 导出人员信息表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c0dac48c-490a-4632-8bdc-46c09adb9de8",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import math\n",
    "import json\n",
    "       \n",
    "dict1 = {}\n",
    "fl_name = 'data/低碳院人员信息.json'\n",
    "with open(fl_name,'r') as fl:\n",
    "     m_xx = json.load(fl)\n",
    "        \n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "sheet['A1'] = '编号'\n",
    "sheet['B1'] = '姓名'\n",
    "sheet['C1'] = '性别'\n",
    "sheet['D1'] = '出生日期'\n",
    "sheet['E1'] = '部门'\n",
    "sheet['F1'] = '邮件'\n",
    "sheet['G1'] = '联系电话'\n",
    "i = 2   \n",
    "for k, v in m_xx.items():\n",
    "    m_bh = str(k).rjust(5,\"0\")\n",
    "    sheet[f'A{i}'] = k\n",
    "    sheet[f'B{i}'] = v[0]\n",
    "    sheet[f'C{i}'] = v[3]\n",
    "    sheet[f'D{i}'] = v[4]\n",
    "    sheet[f'E{i}'] = v[1]\n",
    "    sheet[f'F{i}'] = v[2]\n",
    "    sheet[f'G{i}'] = v[5]\n",
    "    i+= 1\n",
    "    \n",
    "wb.save('data/低碳院人员信息表.xlsx')   "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1462a26-59f8-4e5f-8fb9-d927059e0747",
   "metadata": {},
   "source": [
    "## 获取第一次报告人员情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a09d16d7-62a8-4628-9df3-4658a78a9a14",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-08-09T01:55:02.666968Z",
     "iopub.status.busy": "2022-08-09T01:55:02.666453Z",
     "iopub.status.idle": "2022-08-09T01:55:02.676595Z",
     "shell.execute_reply": "2022-08-09T01:55:02.675414Z",
     "shell.execute_reply.started": "2022-08-09T01:55:02.666920Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "332\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "       \n",
    "dict1 = {}\n",
    "fl_name = 'data/低碳院报告.json'\n",
    "with open(fl_name,'r') as fl:\n",
    "     m_xx = json.load(fl)\n",
    "print(len(m_xx.keys()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "199c011d-a253-429a-ad51-645b37f679a1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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