1620 lines
56 KiB
Plaintext
1620 lines
56 KiB
Plaintext
{
|
||
"cells": [
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "04524c85-988e-4dbf-86eb-939a9db7aa28",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 体测人员导入"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 81,
|
||
"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-03-19T11:10:38.156756Z",
|
||
"iopub.status.busy": "2025-03-19T11:10:38.156425Z",
|
||
"iopub.status.idle": "2025-03-19T11:10:38.173971Z",
|
||
"shell.execute_reply": "2025-03-19T11:10:38.173494Z",
|
||
"shell.execute_reply.started": "2025-03-19T11:10:38.156730Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"37\n",
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/2025级油田老年大学体质康健基础班.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, 3).value\n",
|
||
" dict1['unit'] = '2025级'\n",
|
||
" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n",
|
||
" #dict1['age'] = sheet.cell(n, 6).value\n",
|
||
" if sheet.cell(n,5).value is not None:\n",
|
||
" dict1['phone'] = str(sheet.cell(n,5).value) \n",
|
||
" if sheet.cell(n,6).value is not None:\n",
|
||
" dict1['id'] = str(sheet.cell(n,6).value)\n",
|
||
" person[code] = dict1\n",
|
||
"filename = 'data/2025级油田老年大学体质康健基础班.json'\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(person, fl, ensure_ascii=False)\n",
|
||
"print(len(person))\n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 24,
|
||
"id": "27a49c91-b122-47cf-806a-6b252787b2db",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-12-12T13:13:24.043753Z",
|
||
"iopub.status.busy": "2025-12-12T13:13:24.042051Z",
|
||
"iopub.status.idle": "2025-12-12T13:13:24.065063Z",
|
||
"shell.execute_reply": "2025-12-12T13:13:24.064583Z",
|
||
"shell.execute_reply.started": "2025-12-12T13:13:24.043682Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"12\n",
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/东营油田老年大学体质检测名单（2512）.xlsx')\n",
|
||
"sheet = wb.active\n",
|
||
"# sheets = wb.sheetnames\n",
|
||
"person = {}\n",
|
||
"\n",
|
||
"for n in range(2, sheet.max_row+1):\n",
|
||
" if sheet.cell(n,1).value is not None:\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, 3).value\n",
|
||
" dict1['unit'] = ''\n",
|
||
" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n",
|
||
" #dict1['age'] = sheet.cell(n, 6).value\n",
|
||
" if sheet.cell(n,5).value is not None:\n",
|
||
" dict1['phone'] = str(sheet.cell(n,5).value) \n",
|
||
" person[code] = dict1\n",
|
||
"filename = 'data/油田老年大学2025年度体质复测.json'\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(person, fl, ensure_ascii=False)\n",
|
||
"print(len(person))\n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 25,
|
||
"id": "de0185f6-a3ce-4d12-96d5-2d4fd01cf293",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-12-19T03:19:11.165261Z",
|
||
"iopub.status.busy": "2025-12-19T03:19:11.164496Z",
|
||
"iopub.status.idle": "2025-12-19T03:19:11.195061Z",
|
||
"shell.execute_reply": "2025-12-19T03:19:11.194508Z",
|
||
"shell.execute_reply.started": "2025-12-19T03:19:11.165190Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"85\n",
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/东营老年大学北体班2025年度复测花名册.xlsx')\n",
|
||
"sheet = wb.active\n",
|
||
"# sheets = wb.sheetnames\n",
|
||
"person = {}\n",
|
||
"\n",
|
||
"for n in range(2, sheet.max_row+1):\n",
|
||
" if sheet.cell(n,1).value is not None:\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, 3).value\n",
|
||
" dict1['unit'] = sheet.cell(n, 5).value\n",
|
||
" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n",
|
||
" #dict1['age'] = sheet.cell(n, 6).value\n",
|
||
" if sheet.cell(n,6).value is not None:\n",
|
||
" dict1['phone'] = str(sheet.cell(n,6).value) \n",
|
||
" person[code] = dict1\n",
|
||
"filename = 'data/东营老年大学北体班2025年度复测.json'\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(person, fl, ensure_ascii=False)\n",
|
||
"print(len(person))\n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 88,
|
||
"id": "a14eed8b-0f7f-44f6-9d99-ce7f48e0cf50",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-03-19T11:40:25.979499Z",
|
||
"iopub.status.busy": "2025-03-19T11:40:25.978815Z",
|
||
"iopub.status.idle": "2025-03-19T11:40:26.001966Z",
|
||
"shell.execute_reply": "2025-03-19T11:40:26.001013Z",
|
||
"shell.execute_reply.started": "2025-03-19T11:40:25.979436Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"13\n",
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/萃苑社区党群服务中心.xlsx')\n",
|
||
"sheet = wb.active\n",
|
||
"# sheets = wb.sheetnames\n",
|
||
"person = {}\n",
|
||
"\n",
|
||
"for n in range(2, sheet.max_row+1):\n",
|
||
" if sheet.cell(n,1).value is not None:\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, 3).value\n",
|
||
" dict1['unit'] = ' '\n",
|
||
" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n",
|
||
" #dict1['age'] = sheet.cell(n, 6).value\n",
|
||
" if sheet.cell(n,5).value is not None:\n",
|
||
" dict1['phone'] = str(sheet.cell(n,5).value) \n",
|
||
" if sheet.cell(n,6).value is not None:\n",
|
||
" dict1['id'] = str(sheet.cell(n,6).value)\n",
|
||
" person[code] = dict1\n",
|
||
"filename = 'data/萃苑社区党群服务中心.json'\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(person, fl, ensure_ascii=False)\n",
|
||
"print(len(person))\n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"id": "5a98acbe-5f00-4ee0-99b2-7ff8d0caa3bc",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-04-07T09:45:18.579990Z",
|
||
"iopub.status.busy": "2025-04-07T09:45:18.579417Z",
|
||
"iopub.status.idle": "2025-04-07T09:45:18.655025Z",
|
||
"shell.execute_reply": "2025-04-07T09:45:18.654445Z",
|
||
"shell.execute_reply.started": "2025-04-07T09:45:18.579942Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"492\n",
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/陈庄检测人员登记表.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, 3).value\n",
|
||
" dict1['unit'] = sheet.cell(n, 7).value\n",
|
||
" if sheet.cell(n,7).value is not None:\n",
|
||
" dict1['unit'] = str(sheet.cell(n,7).value) \n",
|
||
" else:\n",
|
||
" dict1['unit'] = ' ' \n",
|
||
" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n",
|
||
" if sheet.cell(n,5).value is not None:\n",
|
||
" dict1['phone'] = str(sheet.cell(n,5).value) \n",
|
||
" if sheet.cell(n,6).value is not None:\n",
|
||
" dict1['id'] = str(sheet.cell(n,6).value) \n",
|
||
" person[code] = dict1\n",
|
||
"filename = 'data/陈庄检测人员.json'\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(person, fl, ensure_ascii=False)\n",
|
||
"print(len(person))\n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 获取人员测试成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 89,
|
||
"id": "970e171e-1360-448f-a28c-520ccb8f314a",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-03-19T11:41:10.193763Z",
|
||
"iopub.status.busy": "2025-03-19T11:41:10.193066Z",
|
||
"iopub.status.idle": "2025-03-19T11:41:10.208195Z",
|
||
"shell.execute_reply": "2025-03-19T11:41:10.207239Z",
|
||
"shell.execute_reply.started": "2025-03-19T11:41:10.193698Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"13\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import datetime\n",
|
||
"import csv\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"\n",
|
||
"re_ta = {}\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/萃苑社区党群服务中心.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"\n",
|
||
"filename = 'data/marks_20250319.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",
|
||
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
|
||
" list1.append(line)\n",
|
||
"\n",
|
||
"for result in list1:\n",
|
||
" user = str(result[2])\n",
|
||
" rq = date.fromisoformat(result[5].replace('/','-'))\n",
|
||
" if user in dict1.keys():\n",
|
||
" l_xm = []\n",
|
||
" m_item = str(result[3]) \n",
|
||
" re_ta.setdefault(user,{}) \n",
|
||
" re_ta[user]['name'] = dict1[user]['name']\n",
|
||
" re_ta[user]['sex'] = dict1[user]['sex']\n",
|
||
" re_ta[user]['birth'] = dict1[user]['birth']\n",
|
||
" re_ta[user]['unit'] = dict1[user]['unit']\n",
|
||
" if 'phone' in dict1[user].keys():\n",
|
||
" re_ta[user]['phone'] = dict1[user]['phone']\n",
|
||
" if dict1[user]['sex'] == '男':\n",
|
||
" l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
|
||
" else:\n",
|
||
" l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
|
||
" #re_ta[user]['unit'] = dict1[user]['unit']\n",
|
||
" birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
|
||
" item_name = result[3] \n",
|
||
" if item_name in l_xm: \n",
|
||
" days = (rq-birth).days \n",
|
||
" re_ta[user]['age'] = int(days/365)\n",
|
||
" re_ta[user]['month'] = int(days/365*12)\n",
|
||
" re_ta[user]['rq'] = result[5]\n",
|
||
" re_ta[user].setdefault(item_name,{}) \n",
|
||
" score = result[4] \n",
|
||
" re_ta[user][item_name]['成绩'] = score\n",
|
||
"\n",
|
||
"filename = 'data/result_萃苑社区党群服务中心.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(re_ta, fl, ensure_ascii=False) \n",
|
||
"print(len(re_ta))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"id": "e2526429-e779-4ec5-8a0e-bea623f54f29",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-04-07T12:39:20.625284Z",
|
||
"iopub.status.busy": "2025-04-07T12:39:20.624668Z",
|
||
"iopub.status.idle": "2025-04-07T12:39:20.645248Z",
|
||
"shell.execute_reply": "2025-04-07T12:39:20.644732Z",
|
||
"shell.execute_reply.started": "2025-04-07T12:39:20.625230Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"57\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import datetime\n",
|
||
"import csv\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"\n",
|
||
"re_ta = {}\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/陈庄检测人员.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"\n",
|
||
"filename = 'data/marks_20250326.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",
|
||
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
|
||
" list1.append(line)\n",
|
||
"\n",
|
||
"for result in list1:\n",
|
||
" user = str(result[2])\n",
|
||
" rq = date.fromisoformat(result[5].replace('/','-'))\n",
|
||
" if user in dict1.keys():\n",
|
||
" #print(user)\n",
|
||
" l_xm = []\n",
|
||
" m_item = str(result[3]) \n",
|
||
" re_ta.setdefault(user,{}) \n",
|
||
" re_ta[user]['name'] = dict1[user]['name']\n",
|
||
" re_ta[user]['sex'] = dict1[user]['sex']\n",
|
||
" re_ta[user]['birth'] = dict1[user]['birth']\n",
|
||
" re_ta[user]['unit'] = dict1[user]['unit']\n",
|
||
" if 'phone' in dict1[user].keys():\n",
|
||
" re_ta[user]['phone'] = dict1[user]['phone']\n",
|
||
" if dict1[user]['sex'] == '男':\n",
|
||
" l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
|
||
" else:\n",
|
||
" l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
|
||
" #re_ta[user]['unit'] = dict1[user]['unit']\n",
|
||
" birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
|
||
" item_name = result[3] \n",
|
||
" if item_name in l_xm: \n",
|
||
" days = (rq-birth).days \n",
|
||
" re_ta[user]['age'] = int(days/365)\n",
|
||
" re_ta[user]['month'] = int(days/365*12)\n",
|
||
" re_ta[user]['rq'] = result[5]\n",
|
||
" re_ta[user].setdefault(item_name,{}) \n",
|
||
" score = result[4] \n",
|
||
" re_ta[user][item_name]['成绩'] = score\n",
|
||
"\n",
|
||
"filename = 'data/result_陈庄检测人员-2.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(re_ta, fl, ensure_ascii=False) \n",
|
||
"print(len(re_ta))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 25,
|
||
"id": "dcc5a261-35ef-48c2-b4dd-618f417e45dc",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-12-12T13:13:33.184367Z",
|
||
"iopub.status.busy": "2025-12-12T13:13:33.183622Z",
|
||
"iopub.status.idle": "2025-12-12T13:13:33.204374Z",
|
||
"shell.execute_reply": "2025-12-12T13:13:33.203788Z",
|
||
"shell.execute_reply.started": "2025-12-12T13:13:33.184296Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"12\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import datetime\n",
|
||
"import csv\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"\n",
|
||
"re_ta = {}\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/油田老年大学2025年度体质复测.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"\n",
|
||
"filename = 'data/marks_20251212.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",
|
||
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
|
||
" list1.append(line)\n",
|
||
"\n",
|
||
"for result in list1:\n",
|
||
" user = str(result[2])\n",
|
||
" rq = date.fromisoformat(result[5].replace('/','-'))\n",
|
||
" if user in dict1.keys():\n",
|
||
" #print(user)\n",
|
||
" l_xm = []\n",
|
||
" m_item = str(result[3]) \n",
|
||
" re_ta.setdefault(user,{}) \n",
|
||
" re_ta[user]['name'] = dict1[user]['name']\n",
|
||
" re_ta[user]['sex'] = dict1[user]['sex']\n",
|
||
" re_ta[user]['birth'] = dict1[user]['birth']\n",
|
||
" re_ta[user]['unit'] = dict1[user]['unit']\n",
|
||
" if 'phone' in dict1[user].keys():\n",
|
||
" re_ta[user]['phone'] = dict1[user]['phone']\n",
|
||
" if dict1[user]['sex'] == '男':\n",
|
||
" l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
|
||
" else:\n",
|
||
" l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
|
||
" #re_ta[user]['unit'] = dict1[user]['unit']\n",
|
||
" birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
|
||
" item_name = result[3] \n",
|
||
" if item_name in l_xm: \n",
|
||
" days = (rq-birth).days \n",
|
||
" re_ta[user]['age'] = int(days/365)\n",
|
||
" re_ta[user]['month'] = int(days/365*12)\n",
|
||
" re_ta[user]['rq'] = result[5]\n",
|
||
" re_ta[user].setdefault(item_name,{}) \n",
|
||
" score = result[4] \n",
|
||
" re_ta[user][item_name]['成绩'] = score\n",
|
||
"\n",
|
||
"filename = 'data/result_油田老年大学年度体质复测.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(re_ta, fl, ensure_ascii=False) \n",
|
||
"print(len(re_ta))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 26,
|
||
"id": "b6faa6d3-8237-4e75-9014-a76826ae2c36",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-12-19T03:19:24.207176Z",
|
||
"iopub.status.busy": "2025-12-19T03:19:24.206625Z",
|
||
"iopub.status.idle": "2025-12-19T03:19:24.227876Z",
|
||
"shell.execute_reply": "2025-12-19T03:19:24.226944Z",
|
||
"shell.execute_reply.started": "2025-12-19T03:19:24.207123Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"59\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import datetime\n",
|
||
"import csv\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"\n",
|
||
"re_ta = {}\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/东营老年大学北体班2025年度复测.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"\n",
|
||
"filename = 'data/marks_20251219.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",
|
||
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
|
||
" list1.append(line)\n",
|
||
"\n",
|
||
"for result in list1:\n",
|
||
" user = str(result[2])\n",
|
||
" rq = date.fromisoformat(result[5].replace('/','-'))\n",
|
||
" if user in dict1.keys():\n",
|
||
" #print(user)\n",
|
||
" l_xm = []\n",
|
||
" m_item = str(result[3]) \n",
|
||
" re_ta.setdefault(user,{}) \n",
|
||
" re_ta[user]['name'] = dict1[user]['name']\n",
|
||
" re_ta[user]['sex'] = dict1[user]['sex']\n",
|
||
" re_ta[user]['birth'] = dict1[user]['birth']\n",
|
||
" re_ta[user]['unit'] = dict1[user]['unit']\n",
|
||
" if 'phone' in dict1[user].keys():\n",
|
||
" re_ta[user]['phone'] = dict1[user]['phone']\n",
|
||
" if dict1[user]['sex'] == '男':\n",
|
||
" l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
|
||
" else:\n",
|
||
" l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
|
||
" #re_ta[user]['unit'] = dict1[user]['unit']\n",
|
||
" birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
|
||
" item_name = result[3] \n",
|
||
" if item_name in l_xm: \n",
|
||
" days = (rq-birth).days \n",
|
||
" re_ta[user]['age'] = int(days/365)\n",
|
||
" re_ta[user]['month'] = int(days/365*12)\n",
|
||
" re_ta[user]['rq'] = result[5]\n",
|
||
" re_ta[user].setdefault(item_name,{}) \n",
|
||
" score = result[4] \n",
|
||
" re_ta[user][item_name]['成绩'] = score\n",
|
||
"\n",
|
||
"filename = 'data/result_东营老年大学北体班2025年度复测.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": "74ec60b7-b1d9-488d-95fa-4ddd020c2a4c",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成测试得分"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 27,
|
||
"id": "c3b99428-00d5-45ea-9803-261194525fa4",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-12-19T03:19:29.967201Z",
|
||
"iopub.status.busy": "2025-12-19T03:19:29.966497Z",
|
||
"iopub.status.idle": "2025-12-19T03:19:29.983427Z",
|
||
"shell.execute_reply": "2025-12-19T03:19:29.982437Z",
|
||
"shell.execute_reply.started": "2025-12-19T03:19:29.967135Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"ok! 59\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_东营老年大学北体班2025年度复测.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 = 'data/result_东营老年大学北体班2025年度复测.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||
"print('ok!',len(dict2)) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "d034a61d-1fbd-417b-99bd-277e43ebb678",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 导出测试人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 75,
|
||
"id": "0c60a509-dfc0-426a-a44e-e9a760139463",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-03-14T08:10:25.874988Z",
|
||
"iopub.status.busy": "2025-03-14T08:10:25.874253Z",
|
||
"iopub.status.idle": "2025-03-14T08:10:25.912497Z",
|
||
"shell.execute_reply": "2025-03-14T08:10:25.912021Z",
|
||
"shell.execute_reply.started": "2025-03-14T08:10:25.874920Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
|
||
"title = ['编号','姓名','性别','单位','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",
|
||
"\n",
|
||
"filename = 'data/result_东营市老年大学第三期体质班.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/东营市老年大学第三期体质班.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
" \n",
|
||
"list1 = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list2 = []\n",
|
||
" list2.append(str(k).rjust(5,'0'))\n",
|
||
" list2.append(v['name']) \n",
|
||
" list2.append(dict2[k]['sex'])\n",
|
||
" list2.append(dict2[k]['unit'])\n",
|
||
" if 'bmi' in v.keys():\n",
|
||
" height = v['bmi']['成绩'].split(',')[0]\n",
|
||
" weight = v['bmi']['成绩'].split(',')[1]\n",
|
||
" list2.append(height)\n",
|
||
" list2.append(weight)\n",
|
||
" else:\n",
|
||
" list2.append('')\n",
|
||
" list2.append('')\n",
|
||
" for item in items:\n",
|
||
" if item in v.keys():\n",
|
||
" list2.append(v[item]['成绩']) \n",
|
||
" elif item =='name':\n",
|
||
" list2.append(v[item])\n",
|
||
" else:\n",
|
||
" list2.append('')\n",
|
||
" \n",
|
||
" list1.append(list2)\n",
|
||
"filename = 'data/东营市老年大学第三期体质班成绩.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": "d794e69d-9444-4765-9b7d-8dcb0f8c4343",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 导入问卷信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 91,
|
||
"id": "891347c4-cd65-41f8-b5dd-b3ff3d1e249f",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-03-19T11:41:43.991964Z",
|
||
"iopub.status.busy": "2025-03-19T11:41:43.991276Z",
|
||
"iopub.status.idle": "2025-03-19T11:41:44.009884Z",
|
||
"shell.execute_reply": "2025-03-19T11:41:44.008939Z",
|
||
"shell.execute_reply.started": "2025-03-19T11:41:43.991901Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"7\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import csv\n",
|
||
"import openpyxl\n",
|
||
"import time\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"dict1 = {}\n",
|
||
"\n",
|
||
"filename = 'data/result_萃苑社区党群服务中心.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"filename = 'data/萃苑社区党群服务中心.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict3 = json.load(fl)\n",
|
||
"\n",
|
||
"phone = {}\n",
|
||
"for k,v in dict3.items():\n",
|
||
" if 'phone' in v.keys():\n",
|
||
" phone[v['phone']] = k\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/Survey_20250319.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",
|
||
"\n",
|
||
"\n",
|
||
"nn = 0\n",
|
||
"for item in list1:\n",
|
||
" if item[2] in phone.keys():\n",
|
||
" psy =[]\n",
|
||
" tcm = []\n",
|
||
" spine = []\n",
|
||
" for i in range(0,30):\n",
|
||
" psy.append(0)\n",
|
||
" for i in range(0,60):\n",
|
||
" tcm.append(0)\n",
|
||
" for i in range(0,26):\n",
|
||
" spine.append(0)\n",
|
||
" \n",
|
||
" content = json.loads(item[5])\n",
|
||
" if phone[item[2]] not in dict1.keys():\n",
|
||
" dict1[phone[item[2]]] = dict3[phone[item[2]]]\n",
|
||
" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
||
" dict1[phone[item[2]]]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
|
||
" for k, v in content.items():\n",
|
||
" if 'psyOld' in k:\n",
|
||
" i = int(k[6:])\n",
|
||
" psy[i-1] = int(v)\n",
|
||
" if 'tcm' in k:\n",
|
||
" i = int(k[3:])\n",
|
||
" tcm[i-1] = int(v)\n",
|
||
" if 'spine' in k:\n",
|
||
" i = int(k[5:])\n",
|
||
" spine[i-1] = int(v)\n",
|
||
" if 'psyOld' in item[5]:\n",
|
||
" \n",
|
||
" \n",
|
||
" dict1[phone[item[2]]]['psy_yangmiao_old'] = psy\n",
|
||
" if 'tcm' in item[5]:\n",
|
||
" \n",
|
||
" dict1[phone[item[2]]]['tcm'] = tcm\n",
|
||
" if 'spine' in item[5]:\n",
|
||
" for ii in range(25,23,-1):\n",
|
||
" spine[ii] = spine[ii-1]\n",
|
||
" spine[22] = 0 \n",
|
||
" dict1[phone[item[2]]]['spine'] = spine\n",
|
||
" birth = date.fromisoformat(dict3[phone[item[2]]]['birth'].replace('/','-'))\n",
|
||
" \n",
|
||
" days = (rq-birth).days \n",
|
||
" dict1[phone[item[2]]]['age'] = int(days/365)\n",
|
||
" dict1[phone[item[2]]]['month'] = int(days/365*12)\n",
|
||
" #print(phone[item[2]])\n",
|
||
" nn+=1\n",
|
||
"filename = 'data/result_萃苑社区党群服务中心-1.json'\n",
|
||
"\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict1, fl, ensure_ascii=False)\n",
|
||
"print(nn)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "9f9111f1-8cf0-4d45-b9b2-e3b631023581",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 获取问卷人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "d1d02189-e01a-4d7f-9fbb-09b5e72a38df",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import csv\n",
|
||
"import openpyxl\n",
|
||
"import time\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"dict1 = {}\n",
|
||
"\n",
|
||
"filename = 'data/result_东营老年大学.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict3 = json.load(fl)\n",
|
||
"\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/Survey_20240321.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",
|
||
"\n",
|
||
"list2 = []\n",
|
||
"for item in list1:\n",
|
||
" list3 = []\n",
|
||
" phone = item[2]\n",
|
||
" content = json.loads(item[5])\n",
|
||
" name = content['name']\n",
|
||
" gender = content['gender']\n",
|
||
" unit = content['unit']\n",
|
||
" list2.append([name,phone,gender,unit])\n",
|
||
"filename = 'data/东营老年大学问卷人员表.xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"\n",
|
||
"for row in list2:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename)\n",
|
||
"print('ok') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "eb4091f4-9823-4361-acb2-f3e898f9524b",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import csv\n",
|
||
"import openpyxl\n",
|
||
"import time\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"dict1 = {}\n",
|
||
"\n",
|
||
"filename = 'data/result_北体体质康健班202412.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict3 = json.load(fl)\n",
|
||
"\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/Survey_20241220.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",
|
||
"#print(list1)\n",
|
||
"dict2 = {}\n",
|
||
"\n",
|
||
"for item in list1:\n",
|
||
" psy = []\n",
|
||
" tcm = []\n",
|
||
" spine = []\n",
|
||
" for i in range(0,45):\n",
|
||
" psy.append(0)\n",
|
||
" for i in range(0,60):\n",
|
||
" tcm.append(0)\n",
|
||
" for i in range(0,26):\n",
|
||
" spine.append(0)\n",
|
||
" phone = item[2]\n",
|
||
" for k1, v1 in dict3.items():\n",
|
||
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
|
||
" dict1[k1] = dict3[k1]\n",
|
||
" #dict1[k1]['month'] = dict1[k1]['age'] *12\n",
|
||
"#print(dict1)\n",
|
||
"for item in list1:\n",
|
||
" #print(item)\n",
|
||
" psy = []\n",
|
||
" tcm = []\n",
|
||
" spine = []\n",
|
||
" for i in range(0,45):\n",
|
||
" psy.append(0)\n",
|
||
" for i in range(0,60):\n",
|
||
" tcm.append(0)\n",
|
||
" for i in range(0,26):\n",
|
||
" spine.append(0)\n",
|
||
" phone = item[2]\n",
|
||
" for k1, v1 in dict1.items():\n",
|
||
" #print((k1,v1))\n",
|
||
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
|
||
" content = json.loads(item[5])\n",
|
||
" #print(content)\n",
|
||
" \n",
|
||
" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
||
" #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
||
" for k, v in content.items():\n",
|
||
" #print('k:',k,'v:',v)\n",
|
||
" if 'psyOld' in k: \n",
|
||
" i = int(k[6:])\n",
|
||
" psy[i-1] = int(v)\n",
|
||
" if 'tcm' in k: \n",
|
||
" i = int(k[3:])\n",
|
||
" tcm[i-1] = int(v)\n",
|
||
" if 'spine' in k:\n",
|
||
" i = int(k[5:])\n",
|
||
" spine[i-1] = int(v)\n",
|
||
" if 'psyOld' in item[5]:\n",
|
||
" #for i in range(5,26):\n",
|
||
" # new_valve = 5-psy[i]\n",
|
||
" # psy[i] = new_valve\n",
|
||
" for i in range(26,40):\n",
|
||
" new_valve = 1+psy[i]\n",
|
||
" psy[i] = new_valve\n",
|
||
" psy[44] = []\n",
|
||
" dict1[k1]['psy'] = psy\n",
|
||
" if 'tcm' in item[5]:\n",
|
||
" if tcm[40] ==0:\n",
|
||
" tcm[40] =1\n",
|
||
" dict1[k1]['tcm'] = tcm\n",
|
||
" if 'spine' in item[5]:\n",
|
||
" for ii in range(25,23,-1):\n",
|
||
" \n",
|
||
" spine[ii] = spine[ii-1]\n",
|
||
" \n",
|
||
" spine[22] = 0\n",
|
||
" \n",
|
||
" \n",
|
||
" \n",
|
||
" dict1[k1]['spine'] = spine\n",
|
||
" #birth = date.fromisoformat(dict3[k1]['birth'].replace('/','-'))\n",
|
||
"\n",
|
||
" #days = (rq-birth).days \n",
|
||
" #dict1[k1]['age'] = int(days/365)\n",
|
||
" \n",
|
||
" dict1[k1]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
|
||
"#print(dict1)\n",
|
||
"filename = 'data/result_北体体质康健班202412-1.json'\n",
|
||
"\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict1, fl, ensure_ascii=False) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "a26a0a2b-c10e-4acf-bce9-902d16669b91",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import csv\n",
|
||
"import openpyxl\n",
|
||
"import time\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"dict1 = {}\n",
|
||
"\n",
|
||
"filename = 'data/result_北体体质康健班202412.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict3 = json.load(fl)\n",
|
||
"\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/Survey_20241220.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",
|
||
"#print(list1)\n",
|
||
"dict2 = {}\n",
|
||
"\n",
|
||
"for item in list1:\n",
|
||
" psy = []\n",
|
||
" tcm = []\n",
|
||
" spine = []\n",
|
||
" for i in range(0,45):\n",
|
||
" psy.append(0)\n",
|
||
" for i in range(0,60):\n",
|
||
" tcm.append(0)\n",
|
||
" for i in range(0,26):\n",
|
||
" spine.append(0)\n",
|
||
" phone = item[2]\n",
|
||
" for k1, v1 in dict3.items():\n",
|
||
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
|
||
" dict1[k1] = dict3[k1]\n",
|
||
" #dict1[k1]['month'] = dict1[k1]['age'] *12\n",
|
||
"#print(dict1)\n",
|
||
"for item in list1:\n",
|
||
" #print(item)\n",
|
||
" psy = []\n",
|
||
" tcm = []\n",
|
||
" spine = []\n",
|
||
" for i in range(0,45):\n",
|
||
" psy.append(0)\n",
|
||
" for i in range(0,60):\n",
|
||
" tcm.append(0)\n",
|
||
" for i in range(0,26):\n",
|
||
" spine.append(0)\n",
|
||
" phone = item[2]\n",
|
||
" for k1, v1 in dict1.items():\n",
|
||
" #print((k1,v1))\n",
|
||
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
|
||
" content = json.loads(item[5])\n",
|
||
" #print(content)\n",
|
||
" \n",
|
||
" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
||
" #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
||
" for k, v in content.items():\n",
|
||
" #print('k:',k,'v:',v)\n",
|
||
" if 'psyOld' in k: \n",
|
||
" i = int(k[6:])\n",
|
||
" psy[i-1] = int(v)\n",
|
||
" if 'tcm' in k: \n",
|
||
" i = int(k[3:])\n",
|
||
" tcm[i-1] = int(v)\n",
|
||
" if 'spine' in k:\n",
|
||
" i = int(k[5:])\n",
|
||
" spine[i-1] = int(v)\n",
|
||
" if 'psyOld' in item[5]:\n",
|
||
" \n",
|
||
" dict1[k1]['psy'] = psy\n",
|
||
" if 'tcm' in item[5]:\n",
|
||
" \n",
|
||
" dict1[k1]['tcm'] = tcm\n",
|
||
" if 'spine' in item[5]:\n",
|
||
" for ii in range(25,23,-1):\n",
|
||
" \n",
|
||
" spine[ii] = spine[ii-1]\n",
|
||
" \n",
|
||
" spine[22] = 0\n",
|
||
" \n",
|
||
" \n",
|
||
" \n",
|
||
" dict1[k1]['spine'] = spine\n",
|
||
" #birth = date.fromisoformat(dict3[k1]['birth'].replace('/','-'))\n",
|
||
"\n",
|
||
" #days = (rq-birth).days \n",
|
||
" #dict1[k1]['age'] = int(days/365)\n",
|
||
" \n",
|
||
" dict1[k1]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
|
||
"#print(dict1)\n",
|
||
"filename = 'data/result_北体体质康健班202412-1.json'\n",
|
||
"\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict1, fl, ensure_ascii=False) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 28,
|
||
"id": "0ba2e1a3-78c8-44d9-ab7d-b17b52b0a99f",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-12-19T03:19:45.959079Z",
|
||
"iopub.status.busy": "2025-12-19T03:19:45.958247Z",
|
||
"iopub.status.idle": "2025-12-19T03:19:45.990040Z",
|
||
"shell.execute_reply": "2025-12-19T03:19:45.989559Z",
|
||
"shell.execute_reply.started": "2025-12-19T03:19:45.959012Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"59\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import csv\n",
|
||
"import openpyxl\n",
|
||
"import time\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"dict1 = {}\n",
|
||
"\n",
|
||
"filename = 'data/result_东营老年大学北体班2025年度复测.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"print(len(dict1))\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/sql_20251219.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",
|
||
"#print(list1)\n",
|
||
"dict2 = {}\n",
|
||
"\n",
|
||
"for item in list1:\n",
|
||
" psy = []\n",
|
||
" tcm = []\n",
|
||
" spine = []\n",
|
||
" for i in range(0,30):\n",
|
||
" psy.append(0)\n",
|
||
" for i in range(0,60):\n",
|
||
" tcm.append(0)\n",
|
||
" for i in range(0,26):\n",
|
||
" spine.append(0)\n",
|
||
" phone = item[0][2:]\n",
|
||
" #print(phone)\n",
|
||
" \n",
|
||
"for item in list1:\n",
|
||
" #print(item)\n",
|
||
" psy = []\n",
|
||
" tcm = []\n",
|
||
" spine = []\n",
|
||
" for i in range(0,30):\n",
|
||
" psy.append(0)\n",
|
||
" for i in range(0,60):\n",
|
||
" tcm.append(0)\n",
|
||
" for i in range(0,26):\n",
|
||
" spine.append(0)\n",
|
||
" phone = item[0][2:]\n",
|
||
" for k1, v1 in dict1.items():\n",
|
||
" #print((k1,v1))\n",
|
||
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
|
||
" content = json.loads(item[1])\n",
|
||
" #print(content)\n",
|
||
" \n",
|
||
" rq = date.fromisoformat(item[2].replace('/','-').split(' ')[0])\n",
|
||
" #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
||
" for k, v in json.loads(content).items():\n",
|
||
" #print('k:',k,'v:',v)\n",
|
||
" if 'psyOld' in k: \n",
|
||
" i = int(k[6:])\n",
|
||
" psy[i-1] = int(v)\n",
|
||
" if 'tcm' in k: \n",
|
||
" i = int(k[3:])\n",
|
||
" tcm[i-1] = int(v)\n",
|
||
" if 'spine' in k:\n",
|
||
" i = int(k[5:])\n",
|
||
" spine[i-1] = int(v)\n",
|
||
" if 'psyOld' in item[1]:\n",
|
||
" \n",
|
||
" dict1[k1]['psy_yangmiao_old'] = psy\n",
|
||
" if 'tcm' in item[1]:\n",
|
||
" \n",
|
||
" dict1[k1]['tcm'] = tcm\n",
|
||
" if 'spine' in item[1]:\n",
|
||
" for ii in range(25,23,-1):\n",
|
||
" \n",
|
||
" spine[ii] = spine[ii-1]\n",
|
||
" \n",
|
||
" spine[22] = 0\n",
|
||
" \n",
|
||
" \n",
|
||
" \n",
|
||
" dict1[k1]['spine'] = spine\n",
|
||
" #birth = date.fromisoformat(dict3[k1]['birth'].replace('/','-'))\n",
|
||
"\n",
|
||
" #days = (rq-birth).days \n",
|
||
" #dict1[k1]['age'] = int(days/365)\n",
|
||
" \n",
|
||
" dict1[k1]['rq'] = item[2].replace('/','-').split(' ')[0]\n",
|
||
"#print(dict1)\n",
|
||
"filename = 'data/result_东营老年大学北体班2025年度复测.json'\n",
|
||
"\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict1, fl, ensure_ascii=False) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "85d087e3-c469-409e-893b-a22789d73613",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成报告"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 92,
|
||
"id": "327c33e2-7437-4421-b70c-ec98234a5e88",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-03-19T11:42:35.430535Z",
|
||
"iopub.status.busy": "2025-03-19T11:42:35.429862Z",
|
||
"iopub.status.idle": "2025-03-19T11:42:43.062551Z",
|
||
"shell.execute_reply": "2025-03-19T11:42:43.062030Z",
|
||
"shell.execute_reply.started": "2025-03-19T11:42:35.430472Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"13\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_萃苑社区党群服务中心-1.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"file_path ='./萃苑社区党群服务中心/'\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'] = '萃苑社区党群服务中心'\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','psy_yangmiao_old','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",
|
||
" if len(mydata['fits']) >2 or 'surveys' in mydata.keys():\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": 18,
|
||
"id": "44a209a2-ca22-4a80-bbd9-37717347dfd5",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-04-07T12:35:07.556776Z",
|
||
"iopub.status.busy": "2025-04-07T12:35:07.556176Z",
|
||
"iopub.status.idle": "2025-04-07T12:35:08.133474Z",
|
||
"shell.execute_reply": "2025-04-07T12:35:08.132966Z",
|
||
"shell.execute_reply.started": "2025-04-07T12:35:07.556719Z"
|
||
}
|
||
},
|
||
"outputs": [],
|
||
"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_陈庄检测人员-3.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"file_path ='./东营陈庄3/'\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'] = '山东东营陈庄镇'\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",
|
||
" \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",
|
||
" #if len(mydata['fits']) >2 or 'surveys' in mydata.keys():\n",
|
||
" list2.append(mydata)\n",
|
||
" \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"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 29,
|
||
"id": "7ee80847-2bc0-4cbe-9534-c5dcf97c2833",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-12-19T03:19:56.159337Z",
|
||
"iopub.status.busy": "2025-12-19T03:19:56.157645Z",
|
||
"iopub.status.idle": "2025-12-19T03:20:30.404540Z",
|
||
"shell.execute_reply": "2025-12-19T03:20:30.403593Z",
|
||
"shell.execute_reply.started": "2025-12-19T03:19:56.159261Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"59\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_东营老年大学北体班2025年度复测.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"file_path ='./油田老年大学北体班2025年度体质复测/'\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'] = '油田老年大学北体班年度体质复测'\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','psy_yangmiao_old','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",
|
||
" if len(mydata['fits']) >2 or 'surveys' in mydata.keys():\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": "46ff1333-f051-4022-a765-e0964a2ee427",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import csv\n",
|
||
"import openpyxl\n",
|
||
"import time\n",
|
||
"from datetime import date\n",
|
||
"import ast\n",
|
||
"\n",
|
||
"items = ['lung','grip','flexion','balance','reaction','step']\n",
|
||
"title = ['编号','姓名','性别','年龄','单位','身高','体重','得分','肺活量','得分','握力','得分','坐位体前屈','得分','单脚站立','得分','选择反应时','得分','台阶指数','得分']\n",
|
||
"filename = 'data/北体体质康健班202412.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/data2.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" list1 = json.load(fl)\n",
|
||
"list2 = []\n",
|
||
"for item in list1:\n",
|
||
" list3 = []\n",
|
||
" code = item['id']\n",
|
||
" if 'fits' in item.keys() or 'surveysScore' in item.keys():\n",
|
||
" list3.append(code)\n",
|
||
" list3.append(dict2[code]['name'])\n",
|
||
" list3.append(dict2[code]['sex'])\n",
|
||
" list3.append(dict2[code]['age'])\n",
|
||
" list3.append(dict2[code]['unit'])\n",
|
||
" \n",
|
||
" if 'fits' in item.keys():\n",
|
||
" v = item['fits']\n",
|
||
" if 'bmi' in v.keys():\n",
|
||
" height = v['bmi']['mark'].split(',')[0]\n",
|
||
" weight = v['bmi']['mark'].split(',')[1]\n",
|
||
" list3.append(height)\n",
|
||
" list3.append(weight)\n",
|
||
" list3.append(v['bmi']['score']) \n",
|
||
" else:\n",
|
||
" list3.append('')\n",
|
||
" list3.append('')\n",
|
||
" list3.append('')\n",
|
||
" for xm in items:\n",
|
||
" if xm in v.keys():\n",
|
||
" list3.append(v[xm]['mark'])\n",
|
||
" list3.append(v[xm]['score']) \n",
|
||
" else:\n",
|
||
" list3.append('')\n",
|
||
" list3.append('')\n",
|
||
" else:\n",
|
||
" for i in range(0,15):\n",
|
||
" list3.append('')\n",
|
||
" if 'surveysScore' in item.keys():\n",
|
||
" v = item['surveysScore']\n",
|
||
" list3.append(v['tcm']['type']['name'])\n",
|
||
" list3.append(v['tcm']['near'])\n",
|
||
" list3.append(v['psy']['身体健康满意度'])\n",
|
||
" list3.append(v['psy']['心理健康'])\n",
|
||
" list3.append(v['psy']['社会支持'])\n",
|
||
" list3.append(v['psy']['环境满意度'])\n",
|
||
" list3.append(v['spine']['颈椎段'])\n",
|
||
" list3.append(v['spine']['胸椎段'])\n",
|
||
" list3.append(v['spine']['腰椎段'])\n",
|
||
" list3.append(v['spine']['骶尾椎段'])\n",
|
||
" else:\n",
|
||
" for i in range(0,10):\n",
|
||
" list3.append('')\n",
|
||
" list2.append(list3) \n",
|
||
" \n",
|
||
"filename = 'data/北体体质康健班体测情况表202412.xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list2:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "9ce2589b-881a-4c36-8a48-9cfd212cc40b",
|
||
"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
|
||
}
|