487 lines
14 KiB
Plaintext
487 lines
14 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": 21,
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"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-07-15T04:17:52.450721Z",
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"iopub.status.busy": "2025-07-15T04:17:52.449970Z",
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"iopub.status.idle": "2025-07-15T04:17:52.467224Z",
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||
"shell.execute_reply": "2025-07-15T04:17:52.466044Z",
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"shell.execute_reply.started": "2025-07-15T04:17:52.450647Z"
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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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"3 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/新疆油田采油工艺研究院.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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" #dict1['phone'] = sheet.cell(n, 12).value \n",
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" person[code] = dict1\n",
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"filename = 'data/新疆油田采油工艺研究院.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": "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": 22,
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"id": "970e171e-1360-448f-a28c-520ccb8f314a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-07-15T04:17:54.693914Z",
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"iopub.status.busy": "2025-07-15T04:17:54.692725Z",
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"iopub.status.idle": "2025-07-15T04:17:54.703956Z",
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"shell.execute_reply": "2025-07-15T04:17:54.702901Z",
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"shell.execute_reply.started": "2025-07-15T04:17:54.693844Z"
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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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"1\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/新疆油田采油工艺研究院.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_20250715.csv'\n",
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"re_ta = My.get_result(filename,dict1)\n",
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"\n",
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"\n",
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"filename = 'data/result_新疆油田采油工艺研究院.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": "6d381859-6d21-45d2-8313-55ebbabf8bd4",
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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": 23,
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"id": "0905ad6a-f7e4-43ed-ae29-c4850deb946b",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-07-15T04:17:57.064201Z",
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"iopub.status.busy": "2025-07-15T04:17:57.063428Z",
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"iopub.status.idle": "2025-07-15T04:17:57.077018Z",
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"shell.execute_reply": "2025-07-15T04:17:57.075783Z",
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"shell.execute_reply.started": "2025-07-15T04:17:57.064131Z"
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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_新疆油田采油工艺研究院.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl) \n",
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"for k, 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_新疆油田采油工艺研究院.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2,fl , ensure_ascii=False) \n",
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"print('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": "d034a61d-1fbd-417b-99bd-277e43ebb678",
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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": null,
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"id": "867ad6b0-9e9d-48bc-a10a-3b9cb6125890",
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"metadata": {
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"tags": []
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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','部门','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"\n",
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"filename = 'data/result_南京化工.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/南京化工人员.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(dict2[k]['unit'])\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/南京化工测试情况明细表（截至20250630）.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": "markdown",
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"id": "699c6a40-a6ae-4300-9646-708cb85aa5e8",
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"metadata": {},
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"source": [
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"## 统计问卷人员情况"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "def3f47a-24ef-4815-b63b-2a16b79b4c15",
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"metadata": {
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"tags": []
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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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"\n",
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"filename = 'data/南京化工人员.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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"phone1 = set()\n",
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"phone2 = set()\n",
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"for k,v in dict1.items():\n",
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" phone1.add(v['phone'])\n",
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"list1 = []\n",
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"filename = 'data/survey_records_20250701.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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"\n",
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"i =1\n",
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"list2 = []\n",
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"for item in list1:\n",
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" code = int(item[3])\n",
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" for k, v in dict1.items():\n",
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" list3 = []\n",
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" if v['phone'] == code: \n",
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" list3.append(k)\n",
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" list3.append(v['name'])\n",
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" list3.append(v['sex'])\n",
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" list3.append(v['unit'])\n",
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" list3.append(code)\n",
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" list2.append(list3)\n",
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"filename = 'data/南化问卷情况表.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 list2:\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": 32,
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"id": "9cb0172e-5f6c-4b47-8431-83dc5cc4601c",
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||
"metadata": {
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||
"execution": {
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||
"iopub.execute_input": "2025-07-01T06:26:28.751949Z",
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||
"iopub.status.busy": "2025-07-01T06:26:28.751236Z",
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||
"iopub.status.idle": "2025-07-01T06:26:28.761510Z",
|
||
"shell.execute_reply": "2025-07-01T06:26:28.760394Z",
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||
"shell.execute_reply.started": "2025-07-01T06:26:28.751881Z"
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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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"13718042132\n",
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"17625911723\n",
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"13851588009\n",
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"15077893706\n",
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"13705162311\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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"\n",
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"\n",
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"filename = 'data/南京化工人员.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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"phone1 = set()\n",
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"phone2 = set()\n",
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"for k,v in dict1.items():\n",
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" phone1.add(v['phone'])\n",
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"list1 = []\n",
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"filename = 'data/survey_records_20250701.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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"\n",
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"for item in list1:\n",
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" code = int(item[3]) \n",
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" if code not in phone1: \n",
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" print(code)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8d5f4103-0d1e-4711-b324-ece360f8dcd3",
|
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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": 24,
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||
"id": "23ffd115-72a3-4f90-9e64-ffa6420df8a4",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-07-15T04:18:02.549898Z",
|
||
"iopub.status.busy": "2025-07-15T04:18:02.549192Z",
|
||
"iopub.status.idle": "2025-07-15T04:18:03.406607Z",
|
||
"shell.execute_reply": "2025-07-15T04:18:03.405390Z",
|
||
"shell.execute_reply.started": "2025-07-15T04:18:02.549834Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
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"output_type": "stream",
|
||
"text": [
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"1\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_新疆油田采油工艺研究院.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 ='./新疆油田采油工艺研究院/'\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'] = '新疆油田采油工艺研究院'\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','psy57','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",
|
||
" \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",
|
||
" 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": null,
|
||
"id": "87556725-f68a-484b-827c-f6735155e940",
|
||
"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
|
||
}
|