405 lines
12 KiB
Plaintext
405 lines
12 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "d4d999fe-4890-4a14-b1e8-52dbd6d42e73",
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"metadata": {},
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"source": [
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"## 导入人员信息"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"id": "3154fc8c-0e91-4cda-ba75-666dc7bbb34d",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-08T07:53:19.491869Z",
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"iopub.status.busy": "2023-05-08T07:53:19.491008Z",
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||
"iopub.status.idle": "2023-05-08T07:53:19.954513Z",
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||
"shell.execute_reply": "2023-05-08T07:53:19.953763Z",
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"shell.execute_reply.started": "2023-05-08T07:53:19.491826Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/student_20140922长炼医院监测花名册.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,1).value is not None:\n",
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" code = int(sheet.cell(n, 4).value)\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 6).value\n",
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" if int(sheet.cell(n, 7).value) ==1:\n",
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" sex = '男'\n",
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" else:\n",
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" sex = '女'\n",
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" dict1['sex'] = sex\n",
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" birth = str(sheet.cell(n, 8).value).split()[0]\n",
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" dict1['birth'] = birth\n",
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" dict1['unit'] = sheet.cell(n, 3).value\n",
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" person[code] = dict1\n",
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"filename = 'data/长炼医院人员名单.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "31d36f3c-f046-40a9-bf90-ba139fdcce3a",
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"metadata": {},
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"source": [
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"## 新增人员信息"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "5cea2f5e-37fc-4857-8455-090a634a1c0a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-26T10:04:21.856051Z",
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||
"iopub.status.busy": "2023-05-26T10:04:21.855163Z",
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||
"iopub.status.idle": "2023-05-26T10:04:22.498099Z",
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"shell.execute_reply": "2023-05-26T10:04:22.497093Z",
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"shell.execute_reply.started": "2023-05-26T10:04:21.856007Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"528\n",
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"ok\n",
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"992\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/长炼医院新增监测花名册.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"filename = 'data/长炼医院人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" person = json.load(fl) \n",
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"print(len(person))\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,1).value is not None:\n",
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" code = int(sheet.cell(n, 4).value)\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 6).value\n",
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" if int(sheet.cell(n, 7).value) ==1:\n",
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" sex = '男'\n",
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" else:\n",
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" sex = '女'\n",
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" dict1['sex'] = sex\n",
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" birth = str(sheet.cell(n, 8).value).split()[0]\n",
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" dict1['birth'] = birth\n",
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" dict1['unit'] = sheet.cell(n, 3).value\n",
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" person[code] = dict1\n",
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"filename = 'data/长炼医院人员名单.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print('ok')\n",
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"print(len(person))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "96d5b4bd-4198-4725-9005-070ac4e4f324",
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"metadata": {},
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"source": [
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"## 每日成绩导入"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "4b52477e-926a-44b5-b8a0-20bff98d101d",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-26T10:04:49.499896Z",
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"iopub.status.busy": "2023-05-26T10:04:49.499463Z",
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"iopub.status.idle": "2023-05-26T10:04:49.522644Z",
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"shell.execute_reply": "2023-05-26T10:04:49.521747Z",
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"shell.execute_reply.started": "2023-05-26T10:04:49.499867Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"73\n",
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"73\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import time\n",
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"import csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/长炼医院人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"rq = '20230526'\n",
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"filename = f'data/places_result_{rq}.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" if user in dict1.keys(): \n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex'] \n",
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[4])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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"print(len(re_ta))\n",
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"\n",
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"filename = f'data/result_长炼医院（{rq}).json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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"print(len(re_ta))\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "033cc564-4aa9-4e88-b38b-ec62a02b1661",
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"metadata": {
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"execution": {
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||
"iopub.execute_input": "2023-05-26T08:29:09.963390Z",
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||
"iopub.status.busy": "2023-05-26T08:29:09.962538Z",
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||
"iopub.status.idle": "2023-05-26T08:29:10.005878Z",
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||
"shell.execute_reply": "2023-05-26T08:29:10.004986Z",
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||
"shell.execute_reply.started": "2023-05-26T08:29:09.963348Z"
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||
},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"67\n",
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"133 杨诚 已测试！\n",
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"76 李克胜 已测试！\n",
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"24 李璇 已测试！\n",
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"45 乔志刚 已测试！\n",
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"136 胡茂山 已测试！\n",
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"182 刘立文 已测试！\n",
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"163 乐文清 已测试！\n",
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"160 李莉 已测试！\n",
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"128 王聪 已测试！\n",
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"161 王雅琴 已测试！\n",
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"72 彭姝 已测试！\n",
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"164 高维 已测试！\n",
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"134 索怡心 已测试！\n",
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"67\n",
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"72\n"
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]
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||
}
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||
],
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"source": [
|
||
"import json\n",
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"import time\n",
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"import csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/长炼医院人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"#rq = '20230510'\n",
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"filename = f'data/places_result_{rq}.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" if user in dict1.keys(): \n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex'] \n",
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[4])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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"print(len(re_ta))\n",
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"filename = 'data/result_长炼医院.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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"for k in re_ta.keys():\n",
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" if k in dict2.keys():\n",
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" print(k,dict2[k]['name'],'已测试！')\n",
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"for k, v in re_ta.items():\n",
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" if k not in dict2.keys():\n",
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" dict2[k] = v\n",
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" else:\n",
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" for k1,v1 in v.items():\n",
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" dict2[k][k1] = v1\n",
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"filename = f'data/result_长炼医院（{rq}）.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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"print(len(re_ta))\n",
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"filename = 'data/result_长炼医院.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2, fl, ensure_ascii=False) \n",
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"print(len(dict2))"
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]
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},
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{
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"cell_type": "markdown",
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||
"id": "f220ffba-d172-4b6f-8238-c3a2d6c87ed4",
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||
"metadata": {},
|
||
"source": [
|
||
"## 每日成绩导出"
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]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 9,
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||
"id": "2ffa583b-be51-40a8-bb55-de6a89d1a54a",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-05-26T10:05:01.804203Z",
|
||
"iopub.status.busy": "2023-05-26T10:05:01.803362Z",
|
||
"iopub.status.idle": "2023-05-26T10:05:01.863171Z",
|
||
"shell.execute_reply": "2023-05-26T10:05:01.862349Z",
|
||
"shell.execute_reply.started": "2023-05-26T10:05:01.804161Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
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||
"import json\n",
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"import openpyxl\n",
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"\n",
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"#rq = '20230510'\n",
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"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",
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"title = ['编号','姓名','性别','单位','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",
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"filename = f'data/result_长炼医院（{rq}).json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"filename = 'data/长炼医院人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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" \n",
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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" list2 = []\n",
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" list2.append(str(k).rjust(5,'0'))\n",
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" list2.append(v['name']) \n",
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" list2.append(dict2[k]['sex'])\n",
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" list2.append(dict2[k]['unit']) \n",
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" for item in items:\n",
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" if item in v.keys():\n",
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" list2.append(v[item]['成绩']) \n",
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" elif item =='name':\n",
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" list2.append(v[item])\n",
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" else:\n",
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" list2.append('') \n",
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" list1.append(list2)\n",
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"filename = f'data/长炼医院体测情况表({rq}).xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)"
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]
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},
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{
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"cell_type": "code",
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||
"execution_count": null,
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||
"id": "ec011c39-f6b1-40d5-b95e-bc59b7a51058",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3 (ipykernel)",
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||
"language": "python",
|
||
"name": "python3"
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},
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"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
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||
},
|
||
"file_extension": ".py",
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||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.10.6"
|
||
}
|
||
},
|
||
"nbformat": 4,
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||
"nbformat_minor": 5
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||
}
|