diff --git a/体测单位/延庆区残联.ipynb b/体测单位/延庆区残联.ipynb new file mode 100644 index 0000000..b31db68 --- /dev/null +++ b/体测单位/延庆区残联.ipynb @@ -0,0 +1,392 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "ade4f5e9-de5f-4926-8e53-c98df98e107a", + "metadata": {}, + "source": [ + "## 体测人员导入" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "43e14491-bc5c-4e73-89f0-a3ea64a15772", + "metadata": { + "execution": { + "iopub.execute_input": "2025-10-24T03:11:51.050015Z", + "iopub.status.busy": "2025-10-24T03:11:51.049715Z", + "iopub.status.idle": "2025-10-24T03:11:51.064152Z", + "shell.execute_reply": "2025-10-24T03:11:51.063565Z", + "shell.execute_reply.started": "2025-10-24T03:11:51.049989Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/延庆区残联.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "\n", + "for n in range(2, sheet.max_row+1):\n", + " code = int(sheet.cell(n, 1).value)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 2).value\n", + " dict1['sex'] = sheet.cell(n, 4).value\n", + " dict1['unit'] = ''\n", + " dict1['birth'] = sheet.cell(n,3).value\n", + " dict1['phone'] = sheet.cell(n,6).value\n", + " person[code] = dict1\n", + "filename = 'data/延庆区残联.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "21a07528-d09b-4ff3-a7f5-584329e9b306", + "metadata": {}, + "source": [ + "## 获取人员测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "227b85c8-aa2d-4e48-8204-119dffb082be", + "metadata": { + "execution": { + "iopub.execute_input": "2025-10-24T03:11:54.253047Z", + "iopub.status.busy": "2025-10-24T03:11:54.252120Z", + "iopub.status.idle": "2025-10-24T03:11:54.263734Z", + "shell.execute_reply": "2025-10-24T03:11:54.262670Z", + "shell.execute_reply.started": "2025-10-24T03:11:54.252976Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "15\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/延庆区残联.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "filename = 'data/marks_20251023.csv'\n", + "re_ta = My.get_result(filename,dict1)\n", + "\n", + "\n", + "filename = 'data/result_延庆区残联.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": "2b52e655-f798-45bf-8d64-6c18ba490fc4", + "metadata": {}, + "source": [ + "## 导入手工数据" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "8249cc9b-e5e1-475b-891c-03075c74de91", + "metadata": { + "execution": { + "iopub.execute_input": "2025-10-24T03:11:57.248418Z", + "iopub.status.busy": "2025-10-24T03:11:57.247688Z", + "iopub.status.idle": "2025-10-24T03:11:57.267994Z", + "shell.execute_reply": "2025-10-24T03:11:57.267091Z", + "shell.execute_reply.started": "2025-10-24T03:11:57.248356Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/延庆区残联.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "filename = 'data/result_延庆区残联.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "for n in range(2, sheet.max_row+1):\n", + " code = str(sheet.cell(n, 1).value)\n", + " dict1[code].setdefault('bmi',{})\n", + " dict1[code]['bmi']['成绩'] = sheet.cell(n,5).value\n", + "filename = 'data/result_延庆区残联.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(dict1, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "6210fa76-1e82-40c1-8ec0-0f283e00b76f", + "metadata": {}, + "source": [ + "## 生成测试得分" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "2c5d6b79-83ca-4d09-a312-e965c330b09b", + "metadata": { + "execution": { + "iopub.execute_input": "2025-10-24T03:12:38.674877Z", + "iopub.status.busy": "2025-10-24T03:12:38.674120Z", + "iopub.status.idle": "2025-10-24T03:12:38.682034Z", + "shell.execute_reply": "2025-10-24T03:12:38.681602Z", + "shell.execute_reply.started": "2025-10-24T03:12:38.674822Z" + } + }, + "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_延庆区残联.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_延庆区残联.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict2,fl , ensure_ascii=False) \n", + "print('ok!') " + ] + }, + { + "cell_type": "markdown", + "id": "b2347ea7-faca-4e54-8516-fb724f575c61", + "metadata": {}, + "source": [ + "## 获取问卷人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "c1317e6c-870f-42e2-8161-e101e43dcd3c", + "metadata": { + "execution": { + "iopub.execute_input": "2025-10-24T03:12:43.927986Z", + "iopub.status.busy": "2025-10-24T03:12:43.927674Z", + "iopub.status.idle": "2025-10-24T03:12:43.953550Z", + "shell.execute_reply": "2025-10-24T03:12:43.952994Z", + "shell.execute_reply.started": "2025-10-24T03:12:43.927961Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "209 ok\n" + ] + } + ], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "import time\n", + "from datetime import date\n", + "\n", + "\n", + "dict1 = {}\n", + "list1 = []\n", + "filename = 'data/sql_20251023.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", + "nn = 0\n", + "for item in list1:\n", + " dict2 = {}\n", + " name = item[1]\n", + " phone = str(item[2])[2:]\n", + " birth = str(item[4])\n", + " content = json.loads(item[0])\n", + " tcm = []\n", + " for i in range(0,60):\n", + " tcm.append(0)\n", + " for k, v in content.items(): \n", + " if 'tcm' not in k:\n", + " dict2[k] = v\n", + " else:\n", + " i = int(k[3:])\n", + " tcm[i-1] = int(v)\n", + " \n", + " code = phone\n", + " dict1.setdefault(code,{})\n", + " dict1[code]['name'] = dict2['name']\n", + " if dict2['gender'] == 'm':\n", + " dict1[code]['sex'] = '男'\n", + " else:\n", + " dict1[code]['sex'] = '女'\n", + " dict1[code]['birth'] = str(item[4])\n", + " \n", + " \n", + " dict1[code]['tcm'] = tcm\n", + "filename = 'data/survey_延庆区残联.json'\n", + "\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl, ensure_ascii=False)\n", + "print(len(dict1),'ok')" + ] + }, + { + "cell_type": "markdown", + "id": "b4ad071e-286a-4516-9098-cd7f657cb403", + "metadata": {}, + "source": [ + "## 导入问卷信息" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "b4a2d6e5-5954-43c0-b744-f8e4a94b3447", + "metadata": { + "execution": { + "iopub.execute_input": "2025-10-24T03:12:46.927452Z", + "iopub.status.busy": "2025-10-24T03:12:46.927194Z", + "iopub.status.idle": "2025-10-24T03:12:46.935712Z", + "shell.execute_reply": "2025-10-24T03:12:46.935211Z", + "shell.execute_reply.started": "2025-10-24T03:12:46.927431Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok!\n" + ] + } + ], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "\n", + "filename = 'data/survey_延庆区残联.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/result_延庆区残联.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + "\n", + "for k, v in dict2.items():\n", + " phone = str(v['phone'])\n", + " if phone in dict1.keys():\n", + " dict2[k]['tcm'] = dict1[phone]['tcm']\n", + "filename = f'data/result_延庆区残联.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict2,fl , ensure_ascii=False) \n", + "print('ok!') " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1168c2a9-128a-4252-8ab9-961eae0c0500", + "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 +}