1118 lines
38 KiB
Plaintext
1118 lines
38 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "04524c85-988e-4dbf-86eb-939a9db7aa28",
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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": 70,
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"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
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"metadata": {
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|
"execution": {
|
|
"iopub.execute_input": "2025-03-14T08:07:40.941181Z",
|
|
"iopub.status.busy": "2025-03-14T08:07:40.940504Z",
|
|
"iopub.status.idle": "2025-03-14T08:07:40.971889Z",
|
|
"shell.execute_reply": "2025-03-14T08:07:40.971330Z",
|
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"shell.execute_reply.started": "2025-03-14T08:07:40.941123Z"
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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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"96\n",
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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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"from datetime import date\n",
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"\n",
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"wb = openpyxl.load_workbook('data/东营市老年大学第三期体质班.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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" 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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" dict1['unit'] = '第三期体质班'\n",
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" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n",
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" #dict1['age'] = sheet.cell(n, 6).value\n",
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" if sheet.cell(n,6).value is not None:\n",
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" dict1['phone'] = str(sheet.cell(n,6).value) \n",
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" if sheet.cell(n,5).value is not None:\n",
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" dict1['id'] = str(sheet.cell(n,5).value)\n",
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" person[code] = dict1\n",
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"filename = 'data/东营市老年大学第三期体质班.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))\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": "code",
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"execution_count": 57,
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"id": "5a98acbe-5f00-4ee0-99b2-7ff8d0caa3bc",
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|
"metadata": {
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|
"execution": {
|
|
"iopub.execute_input": "2025-03-04T01:28:11.977681Z",
|
|
"iopub.status.busy": "2025-03-04T01:28:11.976966Z",
|
|
"iopub.status.idle": "2025-03-04T01:28:12.007482Z",
|
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"shell.execute_reply": "2025-03-04T01:28:12.006967Z",
|
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"shell.execute_reply.started": "2025-03-04T01:28:11.977599Z"
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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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"125\n",
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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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"from datetime import date\n",
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"\n",
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"wb = openpyxl.load_workbook('data/陈庄检测人员登记表.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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" 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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" dict1['unit'] = sheet.cell(n, 7).value\n",
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" if sheet.cell(n,7).value is not None:\n",
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" dict1['unit'] = str(sheet.cell(n,7).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, 4).value).replace('/','-').split(' ')[0]\n",
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" if sheet.cell(n,5).value is not None:\n",
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" dict1['phone'] = str(sheet.cell(n,5).value) \n",
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" if sheet.cell(n,6).value is not None:\n",
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" dict1['id'] = str(sheet.cell(n,6).value) \n",
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" person[code] = dict1\n",
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"filename = 'data/陈庄检测人员.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))\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": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f",
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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": 71,
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"id": "970e171e-1360-448f-a28c-520ccb8f314a",
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"metadata": {
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"execution": {
|
|
"iopub.execute_input": "2025-03-14T08:07:44.886839Z",
|
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"iopub.status.busy": "2025-03-14T08:07:44.886215Z",
|
|
"iopub.status.idle": "2025-03-14T08:07:44.904464Z",
|
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"shell.execute_reply": "2025-03-14T08:07:44.903941Z",
|
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"shell.execute_reply.started": "2025-03-14T08:07:44.886779Z"
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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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"93\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/东营市老年大学第三期体质班.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_20250314.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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" 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_东营市老年大学第三期体质班.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": "code",
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|
"execution_count": 72,
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"id": "e2526429-e779-4ec5-8a0e-bea623f54f29",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2025-03-14T08:07:48.554811Z",
|
|
"iopub.status.busy": "2025-03-14T08:07:48.554094Z",
|
|
"iopub.status.idle": "2025-03-14T08:07:48.579590Z",
|
|
"shell.execute_reply": "2025-03-14T08:07:48.579110Z",
|
|
"shell.execute_reply.started": "2025-03-14T08:07:48.554748Z"
|
|
}
|
|
},
|
|
"outputs": [
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{
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|
"name": "stdout",
|
|
"output_type": "stream",
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"text": [
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"115\n"
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]
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}
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|
],
|
|
"source": [
|
|
"import json\n",
|
|
"import datetime\n",
|
|
"import csv\n",
|
|
"from datetime import date\n",
|
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"\n",
|
|
"\n",
|
|
"re_ta = {}\n",
|
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"list1 = []\n",
|
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"filename = 'data/陈庄检测人员.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
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" dict1 = json.load(fl) \n",
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"\n",
|
|
"filename = 'data/marks_20250304.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",
|
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" list1.append(line)\n",
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"\n",
|
|
"for result in list1:\n",
|
|
" user = str(result[2])\n",
|
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" rq = date.fromisoformat(result[5].replace('/','-'))\n",
|
|
" if user in dict1.keys():\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_陈庄检测人员.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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{
|
|
"cell_type": "markdown",
|
|
"id": "74ec60b7-b1d9-488d-95fa-4ddd020c2a4c",
|
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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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{
|
|
"cell_type": "code",
|
|
"execution_count": 73,
|
|
"id": "c3b99428-00d5-45ea-9803-261194525fa4",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2025-03-14T08:08:03.162240Z",
|
|
"iopub.status.busy": "2025-03-14T08:08:03.161488Z",
|
|
"iopub.status.idle": "2025-03-14T08:08:03.178033Z",
|
|
"shell.execute_reply": "2025-03-14T08:08:03.177422Z",
|
|
"shell.execute_reply.started": "2025-03-14T08:08:03.162173Z"
|
|
}
|
|
},
|
|
"outputs": [
|
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{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
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"ok!\n"
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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",
|
|
"filename = 'data/result_东营市老年大学第三期体质班.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict2 = json.load(fl) \n",
|
|
"for k, v in dict2.items():\n",
|
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" #print(k)\n",
|
|
" 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",
|
|
" if 'bmi' in v.keys():\n",
|
|
" #bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
|
|
" bmi_data = v['bmi']['成绩']\n",
|
|
" data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n",
|
|
" 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",
|
|
" for item_en in list_item:\n",
|
|
" 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",
|
|
"filename = f'data/result_东营市老年大学第三期体质班.json'\n",
|
|
"with open(filename,'w') as fl:\n",
|
|
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
|
"print('ok!') "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "d034a61d-1fbd-417b-99bd-277e43ebb678",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 导出测试人员信息"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 75,
|
|
"id": "0c60a509-dfc0-426a-a44e-e9a760139463",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2025-03-14T08:10:25.874988Z",
|
|
"iopub.status.busy": "2025-03-14T08:10:25.874253Z",
|
|
"iopub.status.idle": "2025-03-14T08:10:25.912497Z",
|
|
"shell.execute_reply": "2025-03-14T08:10:25.912021Z",
|
|
"shell.execute_reply.started": "2025-03-14T08:10:25.874920Z"
|
|
},
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
|
|
"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",
|
|
"\n",
|
|
"filename = 'data/result_东营市老年大学第三期体质班.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"\n",
|
|
"filename = 'data/东营市老年大学第三期体质班.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]['unit'])\n",
|
|
" if 'bmi' in v.keys():\n",
|
|
" height = v['bmi']['成绩'].split(',')[0]\n",
|
|
" weight = v['bmi']['成绩'].split(',')[1]\n",
|
|
" list2.append(height)\n",
|
|
" list2.append(weight)\n",
|
|
" else:\n",
|
|
" list2.append('')\n",
|
|
" list2.append('')\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",
|
|
" \n",
|
|
" list1.append(list2)\n",
|
|
"filename = 'data/东营市老年大学第三期体质班成绩.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": "d794e69d-9444-4765-9b7d-8dcb0f8c4343",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 导入问卷信息"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 78,
|
|
"id": "891347c4-cd65-41f8-b5dd-b3ff3d1e249f",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2025-03-14T08:17:25.959454Z",
|
|
"iopub.status.busy": "2025-03-14T08:17:25.958763Z",
|
|
"iopub.status.idle": "2025-03-14T08:17:25.994196Z",
|
|
"shell.execute_reply": "2025-03-14T08:17:25.993587Z",
|
|
"shell.execute_reply.started": "2025-03-14T08:17:25.959390Z"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"87\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import json\n",
|
|
"import csv\n",
|
|
"import openpyxl\n",
|
|
"import time\n",
|
|
"from datetime import date\n",
|
|
"\n",
|
|
"dict1 = {}\n",
|
|
"\n",
|
|
"filename = 'data/result_东营市老年大学第三期体质班.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"filename = 'data/东营市老年大学第三期体质班.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict3 = json.load(fl)\n",
|
|
"\n",
|
|
"phone = {}\n",
|
|
"for k,v in dict3.items():\n",
|
|
" if 'phone' in v.keys():\n",
|
|
" phone[v['phone']] = k\n",
|
|
"\n",
|
|
"list1 = []\n",
|
|
"filename = 'data/Survey_20250314.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",
|
|
" list1.append(line)\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"nn = 0\n",
|
|
"for item in list1:\n",
|
|
" if item[2] in phone.keys():\n",
|
|
" psy =[]\n",
|
|
" tcm = []\n",
|
|
" spine = []\n",
|
|
" for i in range(0,30):\n",
|
|
" psy.append(0)\n",
|
|
" for i in range(0,60):\n",
|
|
" tcm.append(0)\n",
|
|
" for i in range(0,26):\n",
|
|
" spine.append(0)\n",
|
|
" \n",
|
|
" content = json.loads(item[5])\n",
|
|
" if phone[item[2]] not in dict1.keys():\n",
|
|
" dict1[phone[item[2]]] = dict3[phone[item[2]]]\n",
|
|
" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
|
" dict1[phone[item[2]]]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
|
|
" for k, v in content.items():\n",
|
|
" if 'psyOld' in k:\n",
|
|
" i = int(k[6:])\n",
|
|
" psy[i-1] = int(v)\n",
|
|
" if 'tcm' in k:\n",
|
|
" i = int(k[3:])\n",
|
|
" tcm[i-1] = int(v)\n",
|
|
" if 'spine' in k:\n",
|
|
" i = int(k[5:])\n",
|
|
" spine[i-1] = int(v)\n",
|
|
" if 'psyOld' in item[5]:\n",
|
|
" \n",
|
|
" \n",
|
|
" dict1[phone[item[2]]]['psy_yangmiao_old'] = psy\n",
|
|
" if 'tcm' in item[5]:\n",
|
|
" \n",
|
|
" dict1[phone[item[2]]]['tcm'] = tcm\n",
|
|
" if 'spine' in item[5]:\n",
|
|
" for ii in range(25,23,-1):\n",
|
|
" spine[ii] = spine[ii-1]\n",
|
|
" spine[22] = 0 \n",
|
|
" dict1[phone[item[2]]]['spine'] = spine\n",
|
|
" birth = date.fromisoformat(dict3[phone[item[2]]]['birth'].replace('/','-'))\n",
|
|
" \n",
|
|
" days = (rq-birth).days \n",
|
|
" dict1[phone[item[2]]]['age'] = int(days/365)\n",
|
|
" dict1[phone[item[2]]]['month'] = int(days/365*12)\n",
|
|
" #print(phone[item[2]])\n",
|
|
" nn+=1\n",
|
|
"filename = 'data/result_东营市老年大学第三期体质班-1.json'\n",
|
|
"\n",
|
|
"with open(filename,'w') as fl:\n",
|
|
" json.dump(dict1, fl, ensure_ascii=False)\n",
|
|
"print(nn)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "9f9111f1-8cf0-4d45-b9b2-e3b631023581",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 获取问卷人员信息"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "d1d02189-e01a-4d7f-9fbb-09b5e72a38df",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import csv\n",
|
|
"import openpyxl\n",
|
|
"import time\n",
|
|
"from datetime import date\n",
|
|
"\n",
|
|
"dict1 = {}\n",
|
|
"\n",
|
|
"filename = 'data/result_东营老年大学.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict3 = json.load(fl)\n",
|
|
"\n",
|
|
"\n",
|
|
"list1 = []\n",
|
|
"filename = 'data/Survey_20240321.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",
|
|
" list1.append(line)\n",
|
|
"\n",
|
|
"\n",
|
|
"list2 = []\n",
|
|
"for item in list1:\n",
|
|
" list3 = []\n",
|
|
" phone = item[2]\n",
|
|
" content = json.loads(item[5])\n",
|
|
" name = content['name']\n",
|
|
" gender = content['gender']\n",
|
|
" unit = content['unit']\n",
|
|
" list2.append([name,phone,gender,unit])\n",
|
|
"filename = 'data/东营老年大学问卷人员表.xlsx'\n",
|
|
"wb = openpyxl.Workbook()\n",
|
|
"sheet = wb.active\n",
|
|
"\n",
|
|
"for row in list2:\n",
|
|
" sheet.append(row)\n",
|
|
" \n",
|
|
"wb.save(filename)\n",
|
|
"print('ok') "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "eb4091f4-9823-4361-acb2-f3e898f9524b",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import csv\n",
|
|
"import openpyxl\n",
|
|
"import time\n",
|
|
"from datetime import date\n",
|
|
"\n",
|
|
"dict1 = {}\n",
|
|
"\n",
|
|
"filename = 'data/result_北体体质康健班202412.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict3 = json.load(fl)\n",
|
|
"\n",
|
|
"\n",
|
|
"list1 = []\n",
|
|
"filename = 'data/Survey_20241220.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",
|
|
" list1.append(line)\n",
|
|
"#print(list1)\n",
|
|
"dict2 = {}\n",
|
|
"\n",
|
|
"for item in list1:\n",
|
|
" psy = []\n",
|
|
" tcm = []\n",
|
|
" spine = []\n",
|
|
" for i in range(0,45):\n",
|
|
" psy.append(0)\n",
|
|
" for i in range(0,60):\n",
|
|
" tcm.append(0)\n",
|
|
" for i in range(0,26):\n",
|
|
" spine.append(0)\n",
|
|
" phone = item[2]\n",
|
|
" for k1, v1 in dict3.items():\n",
|
|
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
|
|
" dict1[k1] = dict3[k1]\n",
|
|
" #dict1[k1]['month'] = dict1[k1]['age'] *12\n",
|
|
"#print(dict1)\n",
|
|
"for item in list1:\n",
|
|
" #print(item)\n",
|
|
" psy = []\n",
|
|
" tcm = []\n",
|
|
" spine = []\n",
|
|
" for i in range(0,45):\n",
|
|
" psy.append(0)\n",
|
|
" for i in range(0,60):\n",
|
|
" tcm.append(0)\n",
|
|
" for i in range(0,26):\n",
|
|
" spine.append(0)\n",
|
|
" phone = item[2]\n",
|
|
" for k1, v1 in dict1.items():\n",
|
|
" #print((k1,v1))\n",
|
|
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
|
|
" content = json.loads(item[5])\n",
|
|
" #print(content)\n",
|
|
" \n",
|
|
" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
|
" #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
|
" for k, v in content.items():\n",
|
|
" #print('k:',k,'v:',v)\n",
|
|
" if 'psyOld' in k: \n",
|
|
" i = int(k[6:])\n",
|
|
" psy[i-1] = int(v)\n",
|
|
" if 'tcm' in k: \n",
|
|
" i = int(k[3:])\n",
|
|
" tcm[i-1] = int(v)\n",
|
|
" if 'spine' in k:\n",
|
|
" i = int(k[5:])\n",
|
|
" spine[i-1] = int(v)\n",
|
|
" if 'psyOld' in item[5]:\n",
|
|
" #for i in range(5,26):\n",
|
|
" # new_valve = 5-psy[i]\n",
|
|
" # psy[i] = new_valve\n",
|
|
" for i in range(26,40):\n",
|
|
" new_valve = 1+psy[i]\n",
|
|
" psy[i] = new_valve\n",
|
|
" psy[44] = []\n",
|
|
" dict1[k1]['psy'] = psy\n",
|
|
" if 'tcm' in item[5]:\n",
|
|
" if tcm[40] ==0:\n",
|
|
" tcm[40] =1\n",
|
|
" dict1[k1]['tcm'] = tcm\n",
|
|
" if 'spine' in item[5]:\n",
|
|
" for ii in range(25,23,-1):\n",
|
|
" \n",
|
|
" spine[ii] = spine[ii-1]\n",
|
|
" \n",
|
|
" spine[22] = 0\n",
|
|
" \n",
|
|
" \n",
|
|
" \n",
|
|
" dict1[k1]['spine'] = spine\n",
|
|
" #birth = date.fromisoformat(dict3[k1]['birth'].replace('/','-'))\n",
|
|
"\n",
|
|
" #days = (rq-birth).days \n",
|
|
" #dict1[k1]['age'] = int(days/365)\n",
|
|
" \n",
|
|
" dict1[k1]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
|
|
"#print(dict1)\n",
|
|
"filename = 'data/result_北体体质康健班202412-1.json'\n",
|
|
"\n",
|
|
"with open(filename,'w') as fl:\n",
|
|
" json.dump(dict1, fl, ensure_ascii=False) "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "a26a0a2b-c10e-4acf-bce9-902d16669b91",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import csv\n",
|
|
"import openpyxl\n",
|
|
"import time\n",
|
|
"from datetime import date\n",
|
|
"\n",
|
|
"dict1 = {}\n",
|
|
"\n",
|
|
"filename = 'data/result_北体体质康健班202412.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict3 = json.load(fl)\n",
|
|
"\n",
|
|
"\n",
|
|
"list1 = []\n",
|
|
"filename = 'data/Survey_20241220.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",
|
|
" list1.append(line)\n",
|
|
"#print(list1)\n",
|
|
"dict2 = {}\n",
|
|
"\n",
|
|
"for item in list1:\n",
|
|
" psy = []\n",
|
|
" tcm = []\n",
|
|
" spine = []\n",
|
|
" for i in range(0,45):\n",
|
|
" psy.append(0)\n",
|
|
" for i in range(0,60):\n",
|
|
" tcm.append(0)\n",
|
|
" for i in range(0,26):\n",
|
|
" spine.append(0)\n",
|
|
" phone = item[2]\n",
|
|
" for k1, v1 in dict3.items():\n",
|
|
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
|
|
" dict1[k1] = dict3[k1]\n",
|
|
" #dict1[k1]['month'] = dict1[k1]['age'] *12\n",
|
|
"#print(dict1)\n",
|
|
"for item in list1:\n",
|
|
" #print(item)\n",
|
|
" psy = []\n",
|
|
" tcm = []\n",
|
|
" spine = []\n",
|
|
" for i in range(0,45):\n",
|
|
" psy.append(0)\n",
|
|
" for i in range(0,60):\n",
|
|
" tcm.append(0)\n",
|
|
" for i in range(0,26):\n",
|
|
" spine.append(0)\n",
|
|
" phone = item[2]\n",
|
|
" for k1, v1 in dict1.items():\n",
|
|
" #print((k1,v1))\n",
|
|
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
|
|
" content = json.loads(item[5])\n",
|
|
" #print(content)\n",
|
|
" \n",
|
|
" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
|
" #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
|
" for k, v in content.items():\n",
|
|
" #print('k:',k,'v:',v)\n",
|
|
" if 'psyOld' in k: \n",
|
|
" i = int(k[6:])\n",
|
|
" psy[i-1] = int(v)\n",
|
|
" if 'tcm' in k: \n",
|
|
" i = int(k[3:])\n",
|
|
" tcm[i-1] = int(v)\n",
|
|
" if 'spine' in k:\n",
|
|
" i = int(k[5:])\n",
|
|
" spine[i-1] = int(v)\n",
|
|
" if 'psyOld' in item[5]:\n",
|
|
" \n",
|
|
" dict1[k1]['psy'] = psy\n",
|
|
" if 'tcm' in item[5]:\n",
|
|
" \n",
|
|
" dict1[k1]['tcm'] = tcm\n",
|
|
" if 'spine' in item[5]:\n",
|
|
" for ii in range(25,23,-1):\n",
|
|
" \n",
|
|
" spine[ii] = spine[ii-1]\n",
|
|
" \n",
|
|
" spine[22] = 0\n",
|
|
" \n",
|
|
" \n",
|
|
" \n",
|
|
" dict1[k1]['spine'] = spine\n",
|
|
" #birth = date.fromisoformat(dict3[k1]['birth'].replace('/','-'))\n",
|
|
"\n",
|
|
" #days = (rq-birth).days \n",
|
|
" #dict1[k1]['age'] = int(days/365)\n",
|
|
" \n",
|
|
" dict1[k1]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
|
|
"#print(dict1)\n",
|
|
"filename = 'data/result_北体体质康健班202412-1.json'\n",
|
|
"\n",
|
|
"with open(filename,'w') as fl:\n",
|
|
" json.dump(dict1, fl, ensure_ascii=False) "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "85d087e3-c469-409e-893b-a22789d73613",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 生成报告"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 79,
|
|
"id": "327c33e2-7437-4421-b70c-ec98234a5e88",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2025-03-14T08:19:54.589069Z",
|
|
"iopub.status.busy": "2025-03-14T08:19:54.588348Z",
|
|
"iopub.status.idle": "2025-03-14T08:20:46.467552Z",
|
|
"shell.execute_reply": "2025-03-14T08:20:46.466556Z",
|
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"shell.execute_reply.started": "2025-03-14T08:19:54.589004Z"
|
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}
|
|
},
|
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"outputs": [
|
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{
|
|
"name": "stdout",
|
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"output_type": "stream",
|
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"text": [
|
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"95\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import requests\n",
|
|
"import json\n",
|
|
"import openpyxl\n",
|
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"\n",
|
|
"\n",
|
|
"headers = {\n",
|
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" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
|
|
" }\n",
|
|
"filename = 'data/result_东营市老年大学第三期体质班-1.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"list1 = []\n",
|
|
"file_path ='./东营市老年大学第三期体质班/'\n",
|
|
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
|
"i=0\n",
|
|
"list2 = []\n",
|
|
"for k, v in dict1.items():\n",
|
|
" list1 = []\n",
|
|
" mydata = {}\n",
|
|
" \n",
|
|
" id = str(k).rjust(4,\"0\")\n",
|
|
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
|
|
" mydata['title'] = '东营市老年大学'\n",
|
|
" mydata['subtitle'] = v['unit']\n",
|
|
" mydata['id'] = id\n",
|
|
" mydata['name'] = v['name']\n",
|
|
" if v['sex'] == '男':\n",
|
|
" mydata['gender'] = 'male'\n",
|
|
" else:\n",
|
|
" mydata['gender'] = 'female'\n",
|
|
" \n",
|
|
" mydata['month'] = v['month']\n",
|
|
" mydata['fits'] = {}\n",
|
|
" survey_list = ['tcm','psy_yangmiao_old','spine']\n",
|
|
" for item in survey_list:\n",
|
|
" if item in v.keys():\n",
|
|
" mydata.setdefault('surveys',{})\n",
|
|
" mydata['surveys'][item] = v[item]\n",
|
|
" \n",
|
|
" \n",
|
|
" #mydata['fits'] = {}\n",
|
|
" for item in list_item:\n",
|
|
" if item in v.keys():\n",
|
|
" mydata.setdefault('fits',{})\n",
|
|
" 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": "code",
|
|
"execution_count": 48,
|
|
"id": "44a209a2-ca22-4a80-bbd9-37717347dfd5",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2025-03-03T06:41:43.203179Z",
|
|
"iopub.status.busy": "2025-03-03T06:41:43.202419Z",
|
|
"iopub.status.idle": "2025-03-03T06:41:43.225384Z",
|
|
"shell.execute_reply": "2025-03-03T06:41:43.224812Z",
|
|
"shell.execute_reply.started": "2025-03-03T06:41:43.203107Z"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"91\n",
|
|
"ok\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import requests\n",
|
|
"import json\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"\n",
|
|
"headers = {\n",
|
|
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
|
|
" }\n",
|
|
"filename = 'data/result_陈庄检测人员-1.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"list1 = []\n",
|
|
"file_path ='./东营陈庄/'\n",
|
|
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
|
"i=0\n",
|
|
"list2 = []\n",
|
|
"for k, v in dict1.items():\n",
|
|
" list1 = []\n",
|
|
" mydata = {}\n",
|
|
" \n",
|
|
" id = str(k).rjust(4,\"0\")\n",
|
|
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
|
|
" mydata['title'] = '山东东营陈庄镇'\n",
|
|
" mydata['subtitle'] = v['unit']\n",
|
|
" mydata['id'] = id\n",
|
|
" mydata['name'] = v['name']\n",
|
|
" if v['sex'] == '男':\n",
|
|
" mydata['gender'] = 'male'\n",
|
|
" else:\n",
|
|
" mydata['gender'] = 'female'\n",
|
|
" \n",
|
|
" mydata['month'] = v['month']\n",
|
|
" mydata['fits'] = {}\n",
|
|
" survey_list = ['tcm','psy_yangmiao_old','spine']\n",
|
|
" for item in survey_list:\n",
|
|
" if item in v.keys():\n",
|
|
" mydata.setdefault('surveys',{})\n",
|
|
" mydata['surveys'][item] = v[item]\n",
|
|
" \n",
|
|
" \n",
|
|
" #mydata['fits'] = {}\n",
|
|
" for item in list_item:\n",
|
|
" if item in v.keys():\n",
|
|
" mydata.setdefault('fits',{})\n",
|
|
" 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",
|
|
" list2.append(mydata)\n",
|
|
" \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",
|
|
"filename = 'data/data_陈庄检测人员.json'\n",
|
|
"with open(filename, 'w') as fl:\n",
|
|
" json.dump(list2, fl, ensure_ascii=False)\n",
|
|
"print(len(list2))\n",
|
|
"print('ok')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "46ff1333-f051-4022-a765-e0964a2ee427",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import csv\n",
|
|
"import openpyxl\n",
|
|
"import time\n",
|
|
"from datetime import date\n",
|
|
"import ast\n",
|
|
"\n",
|
|
"items = ['lung','grip','flexion','balance','reaction','step']\n",
|
|
"title = ['编号','姓名','性别','年龄','单位','身高','体重','得分','肺活量','得分','握力','得分','坐位体前屈','得分','单脚站立','得分','选择反应时','得分','台阶指数','得分']\n",
|
|
"filename = 'data/北体体质康健班202412.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict2 = json.load(fl)\n",
|
|
"\n",
|
|
"filename = 'data/data2.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" list1 = json.load(fl)\n",
|
|
"list2 = []\n",
|
|
"for item in list1:\n",
|
|
" list3 = []\n",
|
|
" code = item['id']\n",
|
|
" if 'fits' in item.keys() or 'surveysScore' in item.keys():\n",
|
|
" list3.append(code)\n",
|
|
" list3.append(dict2[code]['name'])\n",
|
|
" list3.append(dict2[code]['sex'])\n",
|
|
" list3.append(dict2[code]['age'])\n",
|
|
" list3.append(dict2[code]['unit'])\n",
|
|
" \n",
|
|
" if 'fits' in item.keys():\n",
|
|
" v = item['fits']\n",
|
|
" if 'bmi' in v.keys():\n",
|
|
" height = v['bmi']['mark'].split(',')[0]\n",
|
|
" weight = v['bmi']['mark'].split(',')[1]\n",
|
|
" list3.append(height)\n",
|
|
" list3.append(weight)\n",
|
|
" list3.append(v['bmi']['score']) \n",
|
|
" else:\n",
|
|
" list3.append('')\n",
|
|
" list3.append('')\n",
|
|
" list3.append('')\n",
|
|
" for xm in items:\n",
|
|
" if xm in v.keys():\n",
|
|
" list3.append(v[xm]['mark'])\n",
|
|
" list3.append(v[xm]['score']) \n",
|
|
" else:\n",
|
|
" list3.append('')\n",
|
|
" list3.append('')\n",
|
|
" else:\n",
|
|
" for i in range(0,15):\n",
|
|
" list3.append('')\n",
|
|
" if 'surveysScore' in item.keys():\n",
|
|
" v = item['surveysScore']\n",
|
|
" list3.append(v['tcm']['type']['name'])\n",
|
|
" list3.append(v['tcm']['near'])\n",
|
|
" list3.append(v['psy']['身体健康满意度'])\n",
|
|
" list3.append(v['psy']['心理健康'])\n",
|
|
" list3.append(v['psy']['社会支持'])\n",
|
|
" list3.append(v['psy']['环境满意度'])\n",
|
|
" list3.append(v['spine']['颈椎段'])\n",
|
|
" list3.append(v['spine']['胸椎段'])\n",
|
|
" list3.append(v['spine']['腰椎段'])\n",
|
|
" list3.append(v['spine']['骶尾椎段'])\n",
|
|
" else:\n",
|
|
" for i in range(0,10):\n",
|
|
" list3.append('')\n",
|
|
" list2.append(list3) \n",
|
|
" \n",
|
|
"filename = 'data/北体体质康健班体测情况表202412.xlsx'\n",
|
|
"wb = openpyxl.Workbook()\n",
|
|
"sheet = wb.active\n",
|
|
"sheet.append(title)\n",
|
|
"for row in list2:\n",
|
|
" sheet.append(row)\n",
|
|
" \n",
|
|
"wb.save(filename)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "9ce2589b-881a-4c36-8a48-9cfd212cc40b",
|
|
"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
|
|
}
|