480 lines
15 KiB
Plaintext
480 lines
15 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "579527eb-e2aa-4af6-9668-646e0a997d79",
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"metadata": {},
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"source": [
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"## 体测人员导入"
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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": 22,
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"id": "272aca0e-b70c-46fe-ae58-ad8aaa5b9fa5",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2026-01-26T00:17:22.475278Z",
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"iopub.status.busy": "2026-01-26T00:17:22.474637Z",
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"iopub.status.idle": "2026-01-26T00:17:22.498993Z",
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"shell.execute_reply": "2026-01-26T00:17:22.498203Z",
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"shell.execute_reply.started": "2026-01-26T00:17:22.475218Z"
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}
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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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"30 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/物华社区人员名单.xlsx',data_only=True)\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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" code = int(sheet.cell(n, 1).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, 2).value\n",
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" dict1['sex'] = sheet.cell(n, 3).value\n",
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" if sheet.cell(n, 4).value is not None:\n",
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" dict1['unit'] = sheet.cell(n, 4).value\n",
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" else:\n",
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" dict1['unit'] = ''\n",
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" dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0] \n",
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" person[code] = dict1\n",
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"filename = 'data/物华社区人员.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(len(person),'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": "2c452983-0914-4508-86d6-2d9d5f966a8c",
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"metadata": {},
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"source": [
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"## 生成读卡系统文件"
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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": 3,
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"id": "fde0146f-02e7-4519-9029-5819b2cc1a20",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2026-01-21T08:58:28.607660Z",
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"iopub.status.busy": "2026-01-21T08:58:28.607052Z",
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"iopub.status.idle": "2026-01-21T08:58:28.617819Z",
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"shell.execute_reply": "2026-01-21T08:58:28.616724Z",
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"shell.execute_reply.started": "2026-01-21T08:58:28.607601Z"
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}
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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 json\n",
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"\n",
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"filename = 'data/中心健康检测人员.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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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" dict2 = {}\n",
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" #if dict1['sex'] =='男':\n",
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" # sex = 1\n",
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" \n",
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" dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n",
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" list1.append(dict2)\n",
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"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
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"\n",
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"# 将 json 数据写入文件\n",
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"with open(\"data/data_中心健康检测人员.json\", \"w\",encoding = 'utf-8') as file:\n",
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" file.write(json_data) \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": "28875e1d-1c0f-443a-a780-4cbea10a5133",
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"metadata": {},
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"source": [
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"## 获取人员测试成绩"
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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": 23,
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"id": "32ef3c92-8644-4421-a9dd-8ae901cb2710",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2026-01-26T00:20:02.929642Z",
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"iopub.status.busy": "2026-01-26T00:20:02.929123Z",
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"iopub.status.idle": "2026-01-26T00:20:02.939997Z",
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"shell.execute_reply": "2026-01-26T00:20:02.939492Z",
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"shell.execute_reply.started": "2026-01-26T00:20:02.929607Z"
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}
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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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"30\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 datetime\n",
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"import csv\n",
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"from datetime import date\n",
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"\n",
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"\n",
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"re_ta = {}\n",
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"list1 = []\n",
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"filename = 'data/物华社区人员.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/marks_20260126.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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"\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" rq = date.fromisoformat(result[5].replace('/','-'))\n",
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" if user in dict1.keys():\n",
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" #print(user)\n",
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" l_xm = []\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]['birth'] = dict1[user]['birth']\n",
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
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" if 'phone' in dict1[user].keys():\n",
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" re_ta[user]['phone'] = dict1[user]['phone']\n",
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" if dict1[user]['sex'] == '男':\n",
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" l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
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" else:\n",
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" l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
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" #re_ta[user]['unit'] = dict1[user]['unit']\n",
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" birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
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" item_name = result[3] \n",
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" if item_name in l_xm: \n",
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" days = (rq-birth).days \n",
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" re_ta[user]['age'] = int(days/365)\n",
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" re_ta[user]['month'] = int(days/365*12)\n",
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" re_ta[user]['rq'] = result[5]\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = result[4] \n",
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" re_ta[user][item_name]['成绩'] = score\n",
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"\n",
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"filename = 'data/result_物华社区人员.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))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a882cae1-9df1-4267-ba07-82097f67ab05",
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"metadata": {},
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"source": [
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"## 生成测试得分"
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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": 24,
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"id": "728c6978-bc53-44e4-b986-a13d5e2cd889",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2026-01-26T00:20:19.361876Z",
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"iopub.status.busy": "2026-01-26T00:20:19.361616Z",
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"iopub.status.idle": "2026-01-26T00:20:19.369408Z",
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"shell.execute_reply": "2026-01-26T00:20:19.368888Z",
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"shell.execute_reply.started": "2026-01-26T00:20:19.361855Z"
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}
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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! 30\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 my_module as My\n",
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"\n",
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"#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
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"filename = 'data/result_物华社区人员.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, v in dict2.items():\n",
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" #print(k)\n",
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" if v['sex'] == '男':\n",
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" sex = 'M'\n",
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" else:\n",
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" sex = 'F' \n",
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" if 'bmi' in v.keys():\n",
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" #bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
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" bmi_data = v['bmi']['成绩']\n",
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" data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n",
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" dict2[k]['bmi'] = {}\n",
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" dict2[k]['bmi']['成绩'] = bmi_data\n",
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" dict2[k]['bmi']['score'] = My.cal_bmi(data1)\n",
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" for item_en in list_item:\n",
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" if item_en in v.keys(): \n",
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" data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
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" #print(k,v['name'])\n",
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" dict2[k][item_en]['score'] = My.cal_score(data1)\n",
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" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
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"\n",
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"filename = 'data/result_物华社区人员.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('ok!',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": "64c5731f-ecb2-4524-8be0-0711926fe256",
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"metadata": {},
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"source": [
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"## 导入问卷信息"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8dcfb696-7031-4647-b142-cf83c30d3a90",
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"metadata": {},
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"source": [
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"### 按照姓名导入"
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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": 20,
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"id": "5c90241e-b445-431a-8b59-66a40da2d1e6",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2026-01-22T13:52:46.021181Z",
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"iopub.status.busy": "2026-01-22T13:52:46.020643Z",
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"iopub.status.idle": "2026-01-22T13:52:46.038655Z",
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"shell.execute_reply": "2026-01-22T13:52:46.037963Z",
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"shell.execute_reply.started": "2026-01-22T13:52:46.021130Z"
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}
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},
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"outputs": [],
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"source": [
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"import json\n",
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"import csv\n",
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"import openpyxl\n",
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"import time\n",
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"from datetime import date\n",
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"\n",
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"dict1 = {}\n",
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"\n",
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"filename = 'data/result_物华社区人员.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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"\n",
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"list1 = []\n",
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"filename = 'data/sql_20260122.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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" list1.append(line)\n",
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"#print(list1)\n",
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"dict2 = {}\n",
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"\n",
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" \n",
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" \n",
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"for item in list1:\n",
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" content = json.loads(json.loads(item[1]))\n",
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" name = content['name']\n",
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" for k, v in dict1.items():\n",
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" if v['name'] == name:\n",
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" tcm = [] \n",
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" for i in range(0,60):\n",
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" tcm.append(0)\n",
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" rq = date.fromisoformat(item[2].replace('/','-').split(' ')[0])\n",
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" #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
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" \n",
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" for k1, v1 in content.items(): \n",
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" if 'tcm' in k1: \n",
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" i = int(k1[3:])\n",
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" tcm[i-1] = int(v1)\n",
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" #print(tcm) \n",
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" if 'tcm' in item[1]: \n",
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" dict1[k]['tcm'] = tcm \n",
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" \n",
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" #dict1[k]['rq'] = rq\n",
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"filename = 'data/result_中心健康检测人员.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict1, fl, ensure_ascii=False) "
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]
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},
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{
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"cell_type": "markdown",
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"id": "e6606f92-76c1-434d-be3c-284ceb900f3f",
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"metadata": {},
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"source": [
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"## 生成报告"
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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": 25,
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"id": "d451cce5-e3a3-4909-bd13-807ddf82059a",
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"metadata": {
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"execution": {
|
|
"iopub.execute_input": "2026-01-26T00:22:27.314429Z",
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"iopub.status.busy": "2026-01-26T00:22:27.313838Z",
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"iopub.status.idle": "2026-01-26T00:22:41.731103Z",
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"shell.execute_reply": "2026-01-26T00:22:41.730020Z",
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"shell.execute_reply.started": "2026-01-26T00:22:27.314373Z"
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}
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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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"30\n"
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]
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}
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],
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"source": [
|
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"import requests\n",
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"import json\n",
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"import openpyxl\n",
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"\n",
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"\n",
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"headers = {\n",
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" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
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" }\n",
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"filename = 'data/result_物华社区人员.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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"list1 = []\n",
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"file_path ='./物华社区/'\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
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"i=0\n",
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"list2 = []\n",
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"for k, v in dict1.items():\n",
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" list1 = []\n",
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" mydata = {}\n",
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" \n",
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" id = str(k).rjust(4,\"0\")\n",
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" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
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" mydata['title'] = '物华社区'\n",
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" mydata['subtitle'] = v['unit']\n",
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" mydata['id'] = id\n",
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" mydata['name'] = v['name']\n",
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" if v['sex'] == '男':\n",
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" mydata['gender'] = 'male'\n",
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" else:\n",
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" mydata['gender'] = 'female'\n",
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" \n",
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" mydata['month'] = v['month']\n",
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" mydata['fits'] = {}\n",
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" survey_list = ['tcm','psy_yangmiao_old','spine']\n",
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" for item in survey_list:\n",
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" if item in v.keys():\n",
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" mydata.setdefault('surveys',{})\n",
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" mydata['surveys'][item] = v[item]\n",
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" \n",
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" \n",
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" #mydata['fits'] = {}\n",
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" for item in list_item:\n",
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" if item in v.keys():\n",
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" mydata.setdefault('fits',{})\n",
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" if item in ['lung','pushup','step','situp']:\n",
|
|
" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
|
|
" else:\n",
|
|
" mark = v[item]['成绩'].split()[0]\n",
|
|
" mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
|
|
" #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
|
|
" #if len(mydata['fits']) >2 : \n",
|
|
" if len(mydata['fits']) >2 or 'surveys' in mydata.keys():\n",
|
|
" list1.append(mydata)\n",
|
|
" list2.append([k,v['name']])\n",
|
|
" i+=1\n",
|
|
" x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
|
|
" #print(id,v['name'],x.text)\n",
|
|
" #print(mydata)\n",
|
|
" #x.close()\n",
|
|
"print(i)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "7dd43a2d-f467-44f1-89d8-b76461925297",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 生成体质检测明细表"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "d991b368-46bc-47cc-81d1-591d636364d9",
|
|
"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
|
|
}
|