{ "cells": [ { "cell_type": "markdown", "id": "82e8dee5-178d-49bd-9849-ba652b0cabaa", "metadata": {}, "source": [ "## 人员基本信息导入" ] }, { "cell_type": "code", "execution_count": 31, "id": "ed6c774c-e91d-4f99-9a38-318fade9e937", "metadata": { "execution": { "iopub.execute_input": "2024-05-28T12:29:33.891912Z", "iopub.status.busy": "2024-05-28T12:29:33.891224Z", "iopub.status.idle": "2024-05-28T12:29:34.029608Z", "shell.execute_reply": "2024-05-28T12:29:34.028999Z", "shell.execute_reply.started": "2024-05-28T12:29:33.891852Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok\n" ] } ], "source": [ "import openpyxl\n", "import json\n", "\n", "wb = openpyxl.load_workbook('data/中安联合体测花名册.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, 4).value)\n", " person.setdefault(code, {})\n", " dict1 = {}\n", " dict1['name'] = sheet.cell(n, 6).value \n", " xb = str(sheet.cell(n, 7).value)\n", " if xb == '1':\n", " sex = '男'\n", " elif xb =='2':\n", " sex = '女'\n", " dict1['sex'] = sex\n", " dict1['unit'] = sheet.cell(n, 3).value\n", " dict1['birth'] = str(sheet.cell(n,8).value).split(' ')[0]\n", " person[code] = dict1\n", "filename = 'data/中安联合.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "bafee365-2412-4287-a5d4-46209783953c", "metadata": {}, "source": [ "## 人员编号校验" ] }, { "cell_type": "code", "execution_count": 30, "id": "c9430854-6f56-4854-bc6b-d22f812f6715", "metadata": { "execution": { "iopub.execute_input": "2024-05-27T09:50:34.843681Z", "iopub.status.busy": "2024-05-27T09:50:34.842979Z", "iopub.status.idle": "2024-05-27T09:50:35.121171Z", "shell.execute_reply": "2024-05-27T09:50:35.120633Z", "shell.execute_reply.started": "2024-05-27T09:50:34.843622Z" } }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "wb = openpyxl.load_workbook('data/中安联合体测花名册.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "list1 = []\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, 4).value)\n", " if code in list1:\n", " print(code,sheet.cell(n, 3).value,sheet.cell(n, 6).value)\n", " else:\n", " list1.append(code)\n" ] }, { "cell_type": "markdown", "id": "09a32766-daa8-4f1a-ad23-89b3e39e8d5f", "metadata": {}, "source": [ "## 人员出生日期校验" ] }, { "cell_type": "code", "execution_count": 27, "id": "dbc5af3a-1a2a-4094-ac89-f8efded12245", "metadata": { "execution": { "iopub.execute_input": "2024-05-26T09:11:07.788399Z", "iopub.status.busy": "2024-05-26T09:11:07.787797Z", "iopub.status.idle": "2024-05-26T09:11:08.056837Z", "shell.execute_reply": "2024-05-26T09:11:08.056306Z", "shell.execute_reply.started": "2024-05-26T09:11:07.788344Z" } }, "outputs": [], "source": [ "import re\n", "from datetime import datetime\n", "import openpyxl\n", "import json\n", "\n", "wb = openpyxl.load_workbook('data/中安联合体测花名册.xlsx')\n", "sheet = wb.active\n", "\n", "def validate_date(date_str):\n", " try:\n", " datetime.strptime(date_str, '%Y-%m-%d')\n", " return True # valid date\n", " except ValueError:\n", " return False # invalid date\n", "\n", "\n", "\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 = str(sheet.cell(n,4).value)\n", " rq = str(sheet.cell(n,8).value).split(' ')[0]\n", " is_valid = validate_date(rq.replace('/','-'))\n", " if not is_valid:\n", " print(code,f\"Date '{rq}' 'is valid' \")\n", " \n" ] }, { "cell_type": "markdown", "id": "15444cd7-fe84-4adb-93bd-104d364a83c5", "metadata": {}, "source": [ "## 获取人员测试成绩" ] }, { "cell_type": "code", "execution_count": 32, "id": "1efe2b78-dd18-4d12-8bc9-058f6f0046c9", "metadata": { "execution": { "iopub.execute_input": "2024-05-28T12:31:58.355797Z", "iopub.status.busy": "2024-05-28T12:31:58.355076Z", "iopub.status.idle": "2024-05-28T12:31:58.380089Z", "shell.execute_reply": "2024-05-28T12:31:58.379555Z", "shell.execute_reply.started": "2024-05-28T12:31:58.355732Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "145\n", "145\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/中安联合.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20240528.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]['unit'] = dict1[user]['unit']\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_中安联合.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl, ensure_ascii=False) \n", "print(len(re_ta))" ] }, { "cell_type": "markdown", "id": "2a28206b-f9b2-43f9-8afa-6a99fd19b39c", "metadata": {}, "source": [ "## 导出测试人员信息" ] }, { "cell_type": "code", "execution_count": 33, "id": "dd6379bf-6a79-48de-b3fb-35e84f192ce2", "metadata": { "execution": { "iopub.execute_input": "2024-05-28T12:33:30.888020Z", "iopub.status.busy": "2024-05-28T12:33:30.887315Z", "iopub.status.idle": "2024-05-28T12:33:30.936884Z", "shell.execute_reply": "2024-05-28T12:33:30.936349Z", "shell.execute_reply.started": "2024-05-28T12:33:30.887961Z" } }, "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','部门','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", "\n", "filename = 'data/result_中安联合.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/中安联合.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", " \n", "list1 = []\n", "for k, v in dict1.items():\n", " if k in dict2.keys():\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]['unit'])\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/中安联合20240528.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": "7cb7cde8-0d5a-4b46-a304-10ebd54ea491", "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": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 5 }