{ "cells": [ { "cell_type": "markdown", "id": "bf152e7d-6a36-4877-98d9-f11e3a73792e", "metadata": {}, "source": [ "## 导入人员信息" ] }, { "cell_type": "code", "execution_count": 106, "id": "1b92b7c5-cb77-49da-95b7-34827ecf1d16", "metadata": { "execution": { "iopub.execute_input": "2023-04-24T10:05:01.926272Z", "iopub.status.busy": "2023-04-24T10:05:01.925417Z", "iopub.status.idle": "2023-04-24T10:05:04.468748Z", "shell.execute_reply": "2023-04-24T10:05:04.467687Z", "shell.execute_reply.started": "2023-04-24T10:05:01.926232Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok\n" ] } ], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/燕山石化人员情况表.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\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, 3).value\n", " birth = str(sheet.cell(n, 6).value).split()[0]\n", " dict1['birth'] = birth\n", " if sheet.cell(n,5).value is not None:\n", " dict1['phone'] = sheet.cell(n, 5).value\n", " if sheet.cell(n,7).value is not None:\n", " dict1['id_num'] = sheet.cell(n, 7).value\n", " if sheet.cell(n,8).value is not None:\n", " dict1['SAP'] = sheet.cell(n, 8).value\n", " if sheet.cell(n,9).value is not None:\n", " dict1['工作单位'] = sheet.cell(n, 9).value\n", " if sheet.cell(n,10).value is not None:\n", " dict1['车间'] = sheet.cell(n, 10).value\n", " else:\n", " dict1['车间'] =''\n", " if sheet.cell(n,11).value is not None:\n", " dict1['班组'] = sheet.cell(n, 11).value\n", " else:\n", " dict1['班组'] =''\n", " if sheet.cell(n,12).value is not None:\n", " dict1['工作性质'] = sheet.cell(n, 11).value\n", " person[code] = dict1\n", "filename = 'data/燕山石化人员名单.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "f5c73dff-697d-4ba5-a90c-9bed68eaf4b3", "metadata": {}, "source": [ "## 每日成绩导入" ] }, { "cell_type": "code", "execution_count": 107, "id": "71e1ec6a-6797-4496-969a-1d1461b9ea58", "metadata": { "execution": { "iopub.execute_input": "2023-04-24T10:06:37.571983Z", "iopub.status.busy": "2023-04-24T10:06:37.571077Z", "iopub.status.idle": "2023-04-24T10:06:37.786825Z", "shell.execute_reply": "2023-04-24T10:06:37.785861Z", "shell.execute_reply.started": "2023-04-24T10:06:37.571941Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "423\n", "5593 刘安全 已测试！\n", "423\n", "2645\n" ] } ], "source": [ "import json\n", "import time\n", "import csv\n", "\n", "filename = '../item.json'\n", "item = {}\n", "unit = {}\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for k,v in dict1.items():\n", " item[k] = v\n", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "filename = 'data/燕山石化人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20230424.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", " list1.append(line)\n", "#print(list1)\n", "for result in list1:\n", " user = str(result[2])\n", " if user in dict1.keys(): \n", " m_item = str(result[3]) \n", " re_ta.setdefault(user,{}) \n", " re_ta[user]['name'] = dict1[user]['name']\n", " re_ta[user]['sex'] = dict1[user]['sex'] \n", " re_ta[user]['部门'] = dict1[user]['工作单位']\n", " item_name = item[m_item]['name']\n", " re_ta[user].setdefault(item_name,{}) \n", " score = int(result[4])/item[m_item]['divisor'] \n", " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", "print(len(re_ta))\n", "filename = 'data/result_燕山石化.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "for k in re_ta.keys():\n", " if k in dict2.keys():\n", " print(k,dict2[k]['name'],'已测试！')\n", "for k, v in re_ta.items():\n", " if k not in dict2.keys():\n", " dict2[k] = v\n", " else:\n", " for k1,v1 in v.items():\n", " dict2[k][k1] = v1\n", "filename = 'data/result_燕山石化（20230424）.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl, ensure_ascii=False) \n", "print(len(re_ta))\n", "filename = 'data/result_燕山石化.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict2, fl, ensure_ascii=False) \n", "print(len(dict2))" ] }, { "cell_type": "markdown", "id": "79147ba8-4b90-40ba-81a9-e6062600c239", "metadata": {}, "source": [ "## 每日成绩导出" ] }, { "cell_type": "code", "execution_count": 108, "id": "c24880ad-bbbd-4ad8-a894-cbcea389e822", "metadata": { "execution": { "iopub.execute_input": "2023-04-24T10:08:16.575368Z", "iopub.status.busy": "2023-04-24T10:08:16.574601Z", "iopub.status.idle": "2023-04-24T10:08:16.751333Z", "shell.execute_reply": "2023-04-24T10:08:16.750617Z", "shell.execute_reply.started": "2023-04-24T10:08:16.575338Z" }, "tags": [] }, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n", "title = ['编号','姓名','性别','单位','车间','班组','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n", "filename = 'data/result_燕山石化（20230424）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/燕山石化人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", " \n", "list1 = []\n", "for k, v in dict1.items():\n", " list2 = []\n", " list2.append(str(k).rjust(5,'0'))\n", " list2.append(v['name']) \n", " list2.append(dict2[k]['sex'])\n", " list2.append(dict2[k]['工作单位']) \n", " list2.append(dict2[k]['车间'])\n", " list2.append(dict2[k]['班组'])\n", " for item in items:\n", " if item in v.keys():\n", " list2.append(v[item]['成绩']) \n", " elif item =='name':\n", " list2.append(v[item])\n", " else:\n", " list2.append('') \n", " list1.append(list2)\n", "filename = 'data/燕山石化体测情况表(20230424).xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", "for row in list1:\n", " sheet.append(row)\n", " \n", "wb.save(filename)" ] }, { "cell_type": "markdown", "id": "6d431fc1-b743-467c-91b3-9788e245becb", "metadata": {}, "source": [ "## 统计部门测试人数" ] }, { "cell_type": "code", "execution_count": 109, "id": "68454877-f1fe-4eed-8a48-265e428f892e", "metadata": { "execution": { "iopub.execute_input": "2023-04-24T10:08:30.444506Z", "iopub.status.busy": "2023-04-24T10:08:30.444058Z", "iopub.status.idle": "2023-04-24T10:08:30.475858Z", "shell.execute_reply": "2023-04-24T10:08:30.474801Z", "shell.execute_reply.started": "2023-04-24T10:08:30.444476Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'行政事务中心（离退中心）工会': 8, '热电厂工会': 1, '化学品厂工会': 55, '高科公司工会': 102, '炼油厂工会': 51, '有机化工厂工会': 131, '检验计量中心工会': 32, '物装中心工会': 2, '生产运行保障中心': 2, '烯烃厂工会': 6, '机关工会': 8, '合成树脂厂': 14, '消防中心工会': 2, '合成橡胶厂工会': 8, '储运厂工会': 1}\n" ] } ], "source": [ "import json\n", "import openpyxl\n", "\n", "filename = 'data/result_燕山石化（20230424）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "dict2 = {}\n", "for k, v in dict1.items():\n", " unit = v['部门']\n", " dict2.setdefault(unit,0)\n", " dict2[unit] = dict2[unit] + 1\n", "print(dict2)\n", "title =['单位','体测人数']\n", "list1 = [] \n", "for k, v in dict2.items():\n", " list2 = []\n", " list2 = [k,v]\n", " list1.append(list2)\n", "filename = 'data/燕山石化部门测试人数情况表(20230424).xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", "for row in list1:\n", " sheet.append(row)\n", " \n", "wb.save(filename)" ] }, { "cell_type": "markdown", "id": "8becc0af-d22b-46a2-b35e-9122942515d4", "metadata": {}, "source": [ "## 每日未测试人员情况表" ] }, { "cell_type": "code", "execution_count": 26, "id": "7085bf6f-7465-44fb-bddb-38130fbe5618", "metadata": { "execution": { "iopub.execute_input": "2023-04-17T12:58:45.236098Z", "iopub.status.busy": "2023-04-17T12:58:45.235274Z", "iopub.status.idle": "2023-04-17T12:58:46.270936Z", "shell.execute_reply": "2023-04-17T12:58:46.270191Z", "shell.execute_reply.started": "2023-04-17T12:58:45.236059Z" }, "tags": [] }, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "\n", "title = ['编号','姓名','性别','单位','车间','班组']\n", "filename = 'data/result_燕山石化（20230417）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/燕山石化人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "list1 = []\n", "for k, v in dict2.items():\n", " list2 = []\n", " if k not in dict1.keys():\n", " list2.append(str(k).rjust(5,'0'))\n", " list2.append(v['name']) \n", " list2.append(dict2[k]['sex'])\n", " list2.append(dict2[k]['工作单位']) \n", " list2.append(dict2[k]['车间'])\n", " list2.append(dict2[k]['班组'])\n", " list1.append(list2)\n", "filename = 'data/燕山石化未体测人员名单(20230417).xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", "for row in list1:\n", " sheet.append(row)\n", " \n", "wb.save(filename) " ] }, { "cell_type": "code", "execution_count": null, "id": "6e1dda56-541b-4afe-8ae7-2a8dd7ec5eac", "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 }