From ebb071a5c341f092beb8ac3234582c5da0151fde Mon Sep 17 00:00:00 2001 From: 512song Date: Sun, 20 Apr 2025 14:11:48 +0800 Subject: [PATCH] 20250420 --- 体测单位/喀什.ipynb | 300 +++++++++++++++++++++++++++++++++++++++++++ 体测单位/国图.ipynb | 302 ++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 602 insertions(+) create mode 100644 体测单位/喀什.ipynb create mode 100644 体测单位/国图.ipynb diff --git a/体测单位/喀什.ipynb b/体测单位/喀什.ipynb new file mode 100644 index 0000000..e15a7f7 --- /dev/null +++ b/体测单位/喀什.ipynb @@ -0,0 +1,300 @@ +{ + "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 +} diff --git a/体测单位/国图.ipynb b/体测单位/国图.ipynb new file mode 100644 index 0000000..3539f87 --- /dev/null +++ b/体测单位/国图.ipynb @@ -0,0 +1,302 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e09ac558-4859-46c8-ba33-bfff63fd1f8e", + "metadata": {}, + "source": [ + "## 体测人员导入" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "2f3742c3-0247-4304-a580-530102cad1dc", + "metadata": { + "execution": { + "iopub.execute_input": "2025-04-20T04:22:01.142045Z", + "iopub.status.busy": "2025-04-20T04:22:01.141435Z", + "iopub.status.idle": "2025-04-20T04:22:01.168907Z", + "shell.execute_reply": "2025-04-20T04:22:01.168091Z", + "shell.execute_reply.started": "2025-04-20T04:22:01.141989Z" + } + }, + "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/国图测试名单.xlsx')\n", + "sheet = wb.active\n", + "sheets = wb.sheetnames\n", + "\n", + "filename = 'data/国图人员.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(2, sheet.max_row+1):\n", + " code = int(sheet.cell(n, 1).value)\n", + " if code not in person.keys():\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 2).value\n", + " dict1['sex'] = sheet.cell(n, 4).value\n", + " dict1['birth'] = str(sheet.cell(n, 3).value).replace('/','-').split(' ')[0] \n", + " if sheet.cell(n,6).value is not None:\n", + " dict1['phone'] = str(sheet.cell(n,6).value) \n", + " #dict1['phone'] = str(sheet.cell(n, 5).value)\n", + " person[code] = dict1\n", + "filename = 'data/国图人员.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": 14, + "id": "8b649b7e-2608-4954-91ce-66f15b7e7806", + "metadata": { + "execution": { + "iopub.execute_input": "2025-04-20T04:22:08.503287Z", + "iopub.status.busy": "2025-04-20T04:22:08.502559Z", + "iopub.status.idle": "2025-04-20T04:22:08.510531Z", + "shell.execute_reply": "2025-04-20T04:22:08.509473Z", + "shell.execute_reply.started": "2025-04-20T04:22:08.503221Z" + } + }, + "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/国图人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "filename = 'data/marks_20250420.csv'\n", + "re_ta = My.get_result(filename,dict1)\n", + "\n", + "filename = 'data/result_国图人员.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": 16, + "id": "fa481310-fb25-4523-9558-eef6717452ba", + "metadata": { + "execution": { + "iopub.execute_input": "2025-04-20T04:22:25.993177Z", + "iopub.status.busy": "2025-04-20T04:22:25.992466Z", + "iopub.status.idle": "2025-04-20T04:22:26.005267Z", + "shell.execute_reply": "2025-04-20T04:22:26.003739Z", + "shell.execute_reply.started": "2025-04-20T04:22:25.993111Z" + } + }, + "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_国图人员.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_国图人员.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": 17, + "id": "480fe004-aea6-4477-9fdd-a80818d731ac", + "metadata": { + "execution": { + "iopub.execute_input": "2025-04-20T04:22:29.739586Z", + "iopub.status.busy": "2025-04-20T04:22:29.739161Z", + "iopub.status.idle": "2025-04-20T04:22:37.051880Z", + "shell.execute_reply": "2025-04-20T04:22:37.051216Z", + "shell.execute_reply.started": "2025-04-20T04:22:29.739548Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "15\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_国图人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "list1 = []\n", + "file_path ='./国图/'\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'] = '世诺书院'\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 +}