20250629
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{
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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": 11,
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"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
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||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-06-26T09:23:57.936852Z",
|
||||
"iopub.status.busy": "2025-06-26T09:23:57.936142Z",
|
||||
"iopub.status.idle": "2025-06-26T09:23:58.004545Z",
|
||||
"shell.execute_reply": "2025-06-26T09:23:58.004103Z",
|
||||
"shell.execute_reply.started": "2025-06-26T09:23:57.936786Z"
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||||
},
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||||
"tags": []
|
||||
},
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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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"92 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/南化人员信息表.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, 4).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, 3).value\n",
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" dict1['sex'] = sheet.cell(n, 5).value\n",
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" dict1['unit'] = sheet.cell(n, 2).value \n",
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" dict1['birth'] = str(sheet.cell(n, 6).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/南京化工人员.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(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": "048a95aa-1691-45f6-b933-6eaf95ae1d30",
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"metadata": {},
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"source": [
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"## 生成读卡系统文件"
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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": "ce406710-6b7d-4c51-98ec-78883bd3ce5f",
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||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-06-20T07:51:09.404359Z",
|
||||
"iopub.status.busy": "2025-06-20T07:51:09.403401Z",
|
||||
"iopub.status.idle": "2025-06-20T07:51:09.412040Z",
|
||||
"shell.execute_reply": "2025-06-20T07:51:09.410889Z",
|
||||
"shell.execute_reply.started": "2025-06-20T07:51:09.404278Z"
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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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"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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"\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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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" dict2 = {}\n",
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" #if dict1['sex'] =='男':\n",
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" # sex = 1\n",
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" \n",
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" dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n",
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" list1.append(dict2)\n",
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"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
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"\n",
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"# 将 json 数据写入文件\n",
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"with open(\"data/data_南京化工人员.json\", \"w\",encoding = 'utf-8') as file:\n",
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" file.write(json_data) \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": "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": 19,
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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": "2025-06-27T04:18:55.832397Z",
|
||||
"iopub.status.busy": "2025-06-27T04:18:55.832091Z",
|
||||
"iopub.status.idle": "2025-06-27T04:18:55.841888Z",
|
||||
"shell.execute_reply": "2025-06-27T04:18:55.841317Z",
|
||||
"shell.execute_reply.started": "2025-06-27T04:18:55.832371Z"
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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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"57\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/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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"filename = 'data/marks_20250627.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_南京化工.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": 16,
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||||
"id": "0905ad6a-f7e4-43ed-ae29-c4850deb946b",
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||||
"metadata": {
|
||||
"execution": {
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||||
"iopub.execute_input": "2025-06-26T09:26:45.723598Z",
|
||||
"iopub.status.busy": "2025-06-26T09:26:45.723143Z",
|
||||
"iopub.status.idle": "2025-06-26T09:26:45.735635Z",
|
||||
"shell.execute_reply": "2025-06-26T09:26:45.734794Z",
|
||||
"shell.execute_reply.started": "2025-06-26T09:26:45.723567Z"
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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_南京化工.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_南京化工.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": 17,
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||||
"id": "867ad6b0-9e9d-48bc-a10a-3b9cb6125890",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-06-26T09:26:59.739745Z",
|
||||
"iopub.status.busy": "2025-06-26T09:26:59.738920Z",
|
||||
"iopub.status.idle": "2025-06-26T09:26:59.761164Z",
|
||||
"shell.execute_reply": "2025-06-26T09:26:59.760746Z",
|
||||
"shell.execute_reply.started": "2025-06-26T09:26:59.739659Z"
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||||
},
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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20250626）.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": [
|
||||
"## 统计各部门测试人员情况"
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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": 20,
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||||
"id": "c4b71b0f-0f0c-4962-a540-611cbab51bfa",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-06-27T04:19:17.469888Z",
|
||||
"iopub.status.busy": "2025-06-27T04:19:17.469137Z",
|
||||
"iopub.status.idle": "2025-06-27T04:19:17.491232Z",
|
||||
"shell.execute_reply": "2025-06-27T04:19:17.490732Z",
|
||||
"shell.execute_reply.started": "2025-06-27T04:19:17.469824Z"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"\n",
|
||||
"filename = 'data/result_南京化工.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"\n",
|
||||
"filename = 'data/南京化工人员.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict2 = json.load(fl)\n",
|
||||
"\n",
|
||||
"list1 = []\n",
|
||||
"for k, v in dict2.items():\n",
|
||||
" if k not in dict1.keys():\n",
|
||||
" list2 = []\n",
|
||||
" unit = v['unit']\n",
|
||||
" list2 = [k,v['name'],v['sex'],unit]\n",
|
||||
" list1.append(list2)\n",
|
||||
" \n",
|
||||
"\n",
|
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"\n",
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||||
"\n",
|
||||
"filename = 'data/南京化工未体测人员.xlsx'\n",
|
||||
"wb = openpyxl.Workbook()\n",
|
||||
"sheet = wb.active\n",
|
||||
"sheet.append(title)\n",
|
||||
"for row in list1:\n",
|
||||
" sheet.append(row)\n",
|
||||
" \n",
|
||||
"wb.save(filename)"
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||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "3796748f-2079-46b6-a3a1-b22441880843",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 统计各部门已测试情况"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 66,
|
||||
"id": "def3f47a-24ef-4815-b63b-2a16b79b4c15",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-06-17T11:02:38.842412Z",
|
||||
"iopub.status.busy": "2025-06-17T11:02:38.841860Z",
|
||||
"iopub.status.idle": "2025-06-17T11:02:38.879864Z",
|
||||
"shell.execute_reply": "2025-06-17T11:02:38.879320Z",
|
||||
"shell.execute_reply.started": "2025-06-17T11:02:38.842360Z"
|
||||
},
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"\n",
|
||||
"filename = 'data/result_宁夏能化人员.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"\n",
|
||||
"filename = 'data/宁夏能化人员.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict2 = json.load(fl)\n",
|
||||
"\n",
|
||||
"dict3 = {}\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"title =['单位','体测人数']\n",
|
||||
"list1 = []\n",
|
||||
"for k,v in dict1.items():\n",
|
||||
" unit = v['unit']\n",
|
||||
" if unit=='管理部门':\n",
|
||||
" sub_unit = dict2[k]['sub_unit']\n",
|
||||
" else:\n",
|
||||
" sub_unit = unit\n",
|
||||
" dict3.setdefault(unit,{}) \n",
|
||||
" dict3[unit].setdefault(sub_unit,{})\n",
|
||||
" dict3[unit][sub_unit].setdefault('人数',0)\n",
|
||||
" dict3[unit][sub_unit]['人数'] = dict3[unit][sub_unit]['人数'] + 1\n",
|
||||
"\n",
|
||||
"for k, v in dict3.items():\n",
|
||||
" list2 = []\n",
|
||||
" for k1,v1 in v.items():\n",
|
||||
" list2 = [k,k1,v1['人数']]\n",
|
||||
" list1.append(list2)\n",
|
||||
"\n",
|
||||
"filename = 'data/宁夏能化部门测试情况表.xlsx'\n",
|
||||
"wb = openpyxl.Workbook()\n",
|
||||
"sheet = wb.active\n",
|
||||
"sheet.append(title)\n",
|
||||
"for row in list1:\n",
|
||||
" sheet.append(row)\n",
|
||||
" \n",
|
||||
"wb.save(filename)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 65,
|
||||
"id": "61dde8c3-844a-4016-8952-cb726ab5f61d",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-06-17T11:01:30.219475Z",
|
||||
"iopub.status.busy": "2025-06-17T11:01:30.218747Z",
|
||||
"iopub.status.idle": "2025-06-17T11:01:30.259871Z",
|
||||
"shell.execute_reply": "2025-06-17T11:01:30.259320Z",
|
||||
"shell.execute_reply.started": "2025-06-17T11:01:30.219409Z"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"\n",
|
||||
"filename = 'data/result_宁夏能化人员.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"\n",
|
||||
"filename = 'data/宁夏能化人员.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict2 = json.load(fl)\n",
|
||||
"\n",
|
||||
"dict3 = {}\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"title =['单位','体测人数']\n",
|
||||
"list1 = []\n",
|
||||
"for k,v in dict2.items():\n",
|
||||
" unit = v['unit']\n",
|
||||
" if unit=='管理部门':\n",
|
||||
" sub_unit = dict2[k]['sub_unit']\n",
|
||||
" else:\n",
|
||||
" sub_unit = unit\n",
|
||||
" dict3.setdefault(unit,{}) \n",
|
||||
" dict3[unit].setdefault(sub_unit,{})\n",
|
||||
" dict3[unit][sub_unit].setdefault('人数',0)\n",
|
||||
" dict3[unit][sub_unit]['人数'] = dict3[unit][sub_unit]['人数'] + 1\n",
|
||||
"\n",
|
||||
"for k, v in dict3.items():\n",
|
||||
" list2 = []\n",
|
||||
" for k1,v1 in v.items():\n",
|
||||
" list2 = [k,k1,v1['人数']]\n",
|
||||
" list1.append(list2)\n",
|
||||
"\n",
|
||||
"filename = 'data/宁夏能化部门人员情况表.xlsx'\n",
|
||||
"wb = openpyxl.Workbook()\n",
|
||||
"sheet = wb.active\n",
|
||||
"sheet.append(title)\n",
|
||||
"for row in list1:\n",
|
||||
" sheet.append(row)\n",
|
||||
" \n",
|
||||
"wb.save(filename)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "8d5f4103-0d1e-4711-b324-ece360f8dcd3",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 生成报告"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"id": "23ffd115-72a3-4f90-9e64-ffa6420df8a4",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-06-26T07:15:55.749748Z",
|
||||
"iopub.status.busy": "2025-06-26T07:15:55.749253Z",
|
||||
"iopub.status.idle": "2025-06-26T07:15:56.590649Z",
|
||||
"shell.execute_reply": "2025-06-26T07:15:56.589700Z",
|
||||
"shell.execute_reply.started": "2025-06-26T07:15:55.749700Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"1\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_南京化工.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"list1 = []\n",
|
||||
"file_path ='./南京化工/'\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(4,\"0\")\n",
|
||||
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
|
||||
" mydata['title'] = '江苏油田'\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",
|
||||
" \n",
|
||||
" mydata['month'] = v['month']\n",
|
||||
" mydata['fits'] = {}\n",
|
||||
" survey_list = ['tcm','psy57','spine']\n",
|
||||
" for item in survey_list:\n",
|
||||
" if item in v.keys():\n",
|
||||
" mydata.setdefault('surveys',{})\n",
|
||||
" 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
|
||||
}
|
||||
Reference in new issue
Block a user