502 lines
15 KiB
Plaintext
502 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": "eaf32c48-d935-4780-9272-8f5ddddf80e5",
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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": 1,
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"id": "3d5ddc7a-a331-438d-aa8d-1ad74c7250d0",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-04-09T03:38:07.218322Z",
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"iopub.status.busy": "2025-04-09T03:38:07.217596Z",
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"iopub.status.idle": "2025-04-09T03:38:07.413920Z",
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"shell.execute_reply": "2025-04-09T03:38:07.412923Z",
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"shell.execute_reply.started": "2025-04-09T03:38:07.218257Z"
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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 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/延庆测试名单.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"filename = 'data/延庆人员.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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"\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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" if code not in person.keys():\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, 4).value\n",
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" dict1['birth'] = str(sheet.cell(n, 3).value).replace('/','-').split(' ')[0] \n",
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" dict1['phone'] = str(sheet.cell(n, 5).value)\n",
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" person[code] = dict1\n",
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"filename = 'data/延庆人员.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('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": "faf346a5-3b0e-414e-ab64-dbde3b8c3dbd",
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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": 2,
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"id": "36aa14f9-cdfd-4ad4-a84e-9809c9db9958",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-04-09T03:38:22.152052Z",
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"iopub.status.busy": "2025-04-09T03:38:22.151189Z",
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"iopub.status.idle": "2025-04-09T03:38:22.165712Z",
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"shell.execute_reply": "2025-04-09T03:38:22.164697Z",
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"shell.execute_reply.started": "2025-04-09T03:38:22.151978Z"
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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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"2\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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"import my_module as My\n",
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"\n",
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"filename = 'data/延庆人员.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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"filename = 'data/marks_20250409.csv'\n",
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"re_ta = My.get_result(filename,dict1)\n",
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"\n",
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"filename = 'data/result_延庆人员.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": "a68d4f7f-d23a-4649-99eb-ce13b6027414",
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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": 4,
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"id": "8f459ed3-fc14-404f-998b-5ed2a15958c3",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-04-09T03:38:30.600873Z",
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"iopub.status.busy": "2025-04-09T03:38:30.600179Z",
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"iopub.status.idle": "2025-04-09T03:38:30.608835Z",
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"shell.execute_reply": "2025-04-09T03:38:30.607794Z",
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"shell.execute_reply.started": "2025-04-09T03:38:30.600808Z"
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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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"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_延庆人员.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 = f'data/result_延庆人员.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!') "
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]
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},
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{
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"cell_type": "markdown",
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"id": "582e988f-3226-4209-a348-60be2a7750a1",
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"metadata": {},
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"source": [
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"## 导出测试人员信息"
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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": 11,
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"id": "93feeeb4-85ea-48e9-9358-0efa00725ede",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-02-16T15:26:48.864416Z",
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"iopub.status.busy": "2025-02-16T15:26:48.863673Z",
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"iopub.status.idle": "2025-02-16T15:26:48.890284Z",
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"shell.execute_reply": "2025-02-16T15:26:48.889595Z",
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"shell.execute_reply.started": "2025-02-16T15:26:48.864343Z"
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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 openpyxl\n",
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"\n",
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"items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\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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"\n",
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"filename = 'data/result_延庆人员.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/延庆人员.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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" \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('延庆')\n",
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" if 'bmi' in v.keys():\n",
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" height = v['bmi']['成绩'].split(',')[0]\n",
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" weight = v['bmi']['成绩'].split(',')[1]\n",
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" list2.append(height)\n",
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" list2.append(weight)\n",
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" else:\n",
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" list2.append('')\n",
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" list2.append('')\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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" \n",
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" list1.append(list2)\n",
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"filename = 'data/延庆体测情况表250216.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": 5,
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"id": "f44c57ed-aac8-481a-9126-0dadcbe0190c",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-02-23T10:14:06.379557Z",
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"iopub.status.busy": "2025-02-23T10:14:06.379298Z",
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"iopub.status.idle": "2025-02-23T10:14:06.424726Z",
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"shell.execute_reply": "2025-02-23T10:14:06.424184Z",
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"shell.execute_reply.started": "2025-02-23T10:14:06.379536Z"
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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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"import openpyxl\n",
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"\n",
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"items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
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"bmi = ['height','weight']\n",
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"title = ['编号','姓名','性别','身高','体重','bmi','肺活量','得分','握力','得分','坐位体前屈','得分','纵跳','得分','俯卧撑','得分','一分钟仰卧起坐','得分','单脚站立','得分','选择反应时','得分','台阶指数','得分']\n",
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"\n",
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"filename = 'data/result_延庆人员.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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"list1 = []\n",
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"for k, v in dict1.items(): #print(k,dict2[str(k)]['name'])\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(dict1[k]['name']) \n",
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" list2.append(dict1[k]['sex'])\n",
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" i = 0\n",
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" if 'bmi' in dict1[k].keys():\n",
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" list2.append(dict1[k]['bmi']['成绩'].split(',')[0])\n",
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" list2.append(dict1[k]['bmi']['成绩'].split(',')[1])\n",
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" list2.append(dict1[k]['bmi']['score'])\n",
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" i+=1\n",
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" else:\n",
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" list2.append('') \n",
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" list2.append('') \n",
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" list2.append('') \n",
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" \n",
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" \n",
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" for item in items:\n",
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" if item in dict1[k].keys():\n",
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" list2.append(dict1[k][item]['成绩'])\n",
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" list2.append(dict1[k][item]['score']) \n",
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" i+=1\n",
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" elif item =='name':\n",
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" list2.append(dict1[k][item])\n",
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" else:\n",
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" list2.append('') \n",
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" list2.append('') \n",
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" if i>2:\n",
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" list1.append(list2)\n",
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"filename = 'data/延庆体测情况表250223.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)\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": "7a065563-5478-45df-bf7d-3c2654ca1607",
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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": "code",
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"execution_count": 27,
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"id": "7c170e0e-e618-42b2-99ee-7b6f2ee34bb4",
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"metadata": {
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"execution": {
|
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"iopub.execute_input": "2025-03-19T06:03:51.230034Z",
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"iopub.status.busy": "2025-03-19T06:03:51.229318Z",
|
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"iopub.status.idle": "2025-03-19T06:03:51.242666Z",
|
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"shell.execute_reply": "2025-03-19T06:03:51.241497Z",
|
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"shell.execute_reply.started": "2025-03-19T06:03:51.229965Z"
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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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"8\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 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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"import my_module as My\n",
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"\n",
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"dict1 = {}\n",
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"filename = 'data/result_延庆人员.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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"filename = 'data/延庆人员.json'\n",
|
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"with open(filename,'r') as fl:\n",
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" dict3 = json.load(fl)\n",
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"\n",
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"phone = {}\n",
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"for k,v in dict3.items():\n",
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" if 'phone' in v.keys():\n",
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" phone[v['phone']] = k\n",
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"\n",
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"filename = 'data/Survey_20250315.csv'\n",
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"data1 = My.get_wenjuan(filename,phone,dict1,dict3)\n",
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"\n",
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"filename = 'data/result_延庆人员-1.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(data1[0], fl, ensure_ascii=False)\n",
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"print(data1[1])"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f86b0f59-c1f6-4523-aefd-854f04305ec9",
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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": 5,
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"id": "9e843585-fef3-4f5c-baae-76e711f2a42f",
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"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2025-04-09T03:38:41.214859Z",
|
|
"iopub.status.busy": "2025-04-09T03:38:41.214255Z",
|
|
"iopub.status.idle": "2025-04-09T03:38:42.794354Z",
|
|
"shell.execute_reply": "2025-04-09T03:38:42.793576Z",
|
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"shell.execute_reply.started": "2025-04-09T03:38:41.214802Z"
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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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"2\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_延庆人员.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 ='./延庆/'\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(5,\"0\")\n",
|
|
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
|
|
" mydata['title'] = '延庆'\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",
|
|
" mydata['month'] = v['month']\n",
|
|
" mydata['fits'] = {}\n",
|
|
" survey_list = ['tcm','psy','spine']\n",
|
|
" for item in survey_list:\n",
|
|
" if item in v.keys():\n",
|
|
" mydata.setdefault('surveys',{})\n",
|
|
" mydata['surveys'][item] = v[item]\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 or 'surveys' in mydata.keys():\n",
|
|
" #if len(mydata['fits']) >2 : \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",
|
|
" #x.close()\n",
|
|
"print(i)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "e67464a4-a588-4be4-9983-ac2555db08c4",
|
|
"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
|
|
}
|