{ "cells": [ { "cell_type": "markdown", "id": "e09ac558-4859-46c8-ba33-bfff63fd1f8e", "metadata": {}, "source": [ "## 体测人员导入" ] }, { "cell_type": "code", "execution_count": 5, "id": "2f3742c3-0247-4304-a580-530102cad1dc", "metadata": { "execution": { "iopub.execute_input": "2025-04-18T11:10:42.531720Z", "iopub.status.busy": "2025-04-18T11:10:42.531045Z", "iopub.status.idle": "2025-04-18T11:10:42.555488Z", "shell.execute_reply": "2025-04-18T11:10:42.555024Z", "shell.execute_reply.started": "2025-04-18T11:10:42.531659Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok\n" ] } ], "source": [ "import openpyxl\n", "import json\n", "from datetime import date\n", "from pathlib import Path\n", "\n", "wb = openpyxl.load_workbook('data/喀什体测人员.xlsx')\n", "sheet = wb.active\n", "sheets = wb.sheetnames\n", "\n", "filename = 'data/喀什人员.json'\n", "path = Path(filename)\n", "if path.exists():\n", " with open(filename,'r') as fl:\n", " person = json.load(fl) \n", "else:\n", " person = {}\n", " \n", "for n in range(3, sheet.max_row+1):\n", " code = int(sheet.cell(n, 1).value)\n", " if code not in person.keys() and sheet.cell(n,2).value is not None:\n", " person.setdefault(code, {})\n", " dict1 = {}\n", " dict1['name'] = sheet.cell(n, 2).value\n", " dict1['sex'] = sheet.cell(n, 3).value\n", " dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0] \n", " dict1['phone'] = str(sheet.cell(n, 5).value)\n", " person[code] = dict1\n", "filename = 'data/喀什人员.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "b36f7788-0916-45b6-862b-e52d5f6f18d6", "metadata": {}, "source": [ "## 获取人员测试成绩" ] }, { "cell_type": "code", "execution_count": 6, "id": "8b649b7e-2608-4954-91ce-66f15b7e7806", "metadata": { "execution": { "iopub.execute_input": "2025-04-18T11:20:10.114652Z", "iopub.status.busy": "2025-04-18T11:20:10.113955Z", "iopub.status.idle": "2025-04-18T11:20:10.173445Z", "shell.execute_reply": "2025-04-18T11:20:10.172818Z", "shell.execute_reply.started": "2025-04-18T11:20:10.114567Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "8\n" ] } ], "source": [ "import json\n", "import datetime\n", "import csv\n", "from datetime import date\n", "import my_module as My\n", "\n", "filename = 'data/喀什人员.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "filename = 'data/marks_20250418-17.csv'\n", "re_ta = My.get_result(filename,dict1)\n", "\n", "filename = 'data/result_喀什人员.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl, ensure_ascii=False) \n", "print(len(re_ta))" ] }, { "cell_type": "markdown", "id": "261b7ded-936b-40cc-a14c-2f48fc191795", "metadata": {}, "source": [ "## 生成测试得分" ] }, { "cell_type": "code", "execution_count": 7, "id": "fa481310-fb25-4523-9558-eef6717452ba", "metadata": { "execution": { "iopub.execute_input": "2025-04-18T11:20:25.827544Z", "iopub.status.busy": "2025-04-18T11:20:25.826774Z", "iopub.status.idle": "2025-04-18T11:20:25.836011Z", "shell.execute_reply": "2025-04-18T11:20:25.835054Z", "shell.execute_reply.started": "2025-04-18T11:20:25.827472Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok!\n" ] } ], "source": [ "import json\n", "import time\n", "import my_module as My\n", "\n", "#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n", "filename = 'data/result_喀什人员.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl) \n", "for k, v in dict2.items():\n", " #print(k)\n", " if v['sex'] == '男':\n", " sex = 'M'\n", " else:\n", " 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", " dict2[k]['bmi']['成绩'] = bmi_data\n", " dict2[k]['bmi']['score'] = My.cal_bmi(data1)\n", " for item_en in list_item:\n", " if item_en in v.keys(): \n", " data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n", " #print(k,v['name'])\n", " dict2[k][item_en]['score'] = My.cal_score(data1)\n", " #print(k,v[item_en]['成绩'],cal_score(data1))\n", "\n", "filename = f'data/result_喀什人员.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict2,fl , ensure_ascii=False) \n", "print('ok!') " ] }, { "cell_type": "markdown", "id": "58709fec-703d-49b3-8596-313ba58b897b", "metadata": {}, "source": [ "## 生成报告" ] }, { "cell_type": "code", "execution_count": 8, "id": "480fe004-aea6-4477-9fdd-a80818d731ac", "metadata": { "execution": { "iopub.execute_input": "2025-04-18T11:22:33.834413Z", "iopub.status.busy": "2025-04-18T11:22:33.833674Z", "iopub.status.idle": "2025-04-18T11:22:38.694275Z", "shell.execute_reply": "2025-04-18T11:22:38.693755Z", "shell.execute_reply.started": "2025-04-18T11:22:33.834343Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "8\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_喀什人员.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "file_path ='./喀什/'\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'] = '喀什经济开发区塔什库尔干产业园'\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": "947cd639-3373-4431-a262-2fb4a9c131af", "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 }