20240117
This commit is contained in:
512song committed
1 parent
5e368c4b76
commit
c428bebaba
3 files changed
+271
-97
No files matched your search
+232
-88
@@ -1170,54 +1170,43 @@
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "7e0fe102-69d4-425c-bc1f-9a26cc974d9d",
|
||||
"metadata": {},
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"source": [
|
||||
"### 问卷人员导入"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 30,
|
||||
"execution_count": null,
|
||||
"id": "714d4a20-9ca0-4439-880b-f68de8c0e2fb",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2023-12-12T04:23:01.972390Z",
|
||||
"iopub.status.busy": "2023-12-12T04:23:01.971582Z",
|
||||
"iopub.status.idle": "2023-12-12T04:23:02.066623Z",
|
||||
"shell.execute_reply": "2023-12-12T04:23:02.064926Z",
|
||||
"shell.execute_reply.started": "2023-12-12T04:23:01.972317Z"
|
||||
},
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"ok\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import openpyxl\n",
|
||||
"import json\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"wb = openpyxl.load_workbook('data/副本2023年安庆石化职工健康提升项目志愿者花名册.xlsx')\n",
|
||||
"wb = openpyxl.load_workbook('data/2023年安庆石化职工健康提升项目志愿者花名册（修订）.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",
|
||||
"for n in range(4, sheet.max_row+1):\n",
|
||||
" code = sheet.cell(n, 1).value\n",
|
||||
" person.setdefault(code, {})\n",
|
||||
" dict1 = {}\n",
|
||||
" dict1['name'] = sheet.cell(n, 3).value\n",
|
||||
" dict1['sex'] = sheet.cell(n, 4).value\n",
|
||||
" dict1['unit'] = sheet.cell(n, 2).value\n",
|
||||
" dict1['phone'] = str(sheet.cell(n,5).value)\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/安庆职工健康提升志愿者1.json'\n",
|
||||
"filename = 'data/安庆职工健康提升志愿者.json'\n",
|
||||
"with open(filename, 'w') as fl:\n",
|
||||
" json.dump(person, fl, ensure_ascii=False)\n",
|
||||
"print('ok')"
|
||||
@@ -1225,41 +1214,136 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "e8774dfb-d9f5-44af-a118-4a106ceac9fc",
|
||||
"id": "d5babc67-d982-46d0-b6a4-bb8d8ad05895",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### 导入问卷信息"
|
||||
"### 导入问卷内容"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 31,
|
||||
"id": "dcdd18b3-d7b7-49b1-b148-c2ea9a7799ff",
|
||||
"execution_count": null,
|
||||
"id": "c5a9111d-2785-4d88-9cbd-0cbc952531b0",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2023-12-12T04:23:54.507193Z",
|
||||
"iopub.status.busy": "2023-12-12T04:23:54.506388Z",
|
||||
"iopub.status.idle": "2023-12-12T04:23:54.583968Z",
|
||||
"shell.execute_reply": "2023-12-12T04:23:54.582552Z",
|
||||
"shell.execute_reply.started": "2023-12-12T04:23:54.507133Z"
|
||||
},
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"3\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"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/安庆职工健康提升志愿者.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict3 = json.load(fl)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"list1 = []\n",
|
||||
"filename = 'data/Survey_20240117.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",
|
||||
" 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",
|
||||
" if phone ==v1['phone']: \n",
|
||||
" content = json.loads(item[5])\n",
|
||||
" if 'tcm' in item[1] or 'spine' in item[1]:\n",
|
||||
" del content['gender']\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",
|
||||
" if 'psy' in item[1]: \n",
|
||||
" i = int(k[1:])\n",
|
||||
" psy[i-1] = int(v)\n",
|
||||
" if 'tcm' in item[1]: \n",
|
||||
" i = int(k[1:])\n",
|
||||
" tcm[i-1] = int(v)\n",
|
||||
" if 'spine' in item[1]:\n",
|
||||
" i = int(k[1:])\n",
|
||||
" spine[i-1] = int(v)\n",
|
||||
" if 'psy' in item[1]:\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[1]:\n",
|
||||
" dict1[k1]['tcm'] = tcm\n",
|
||||
" if 'spine' in item[1]:\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_安庆志愿者.json'\n",
|
||||
"\n",
|
||||
"with open(filename,'w') as fl:\n",
|
||||
" json.dump(dict1, fl, ensure_ascii=False) "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "e8774dfb-d9f5-44af-a118-4a106ceac9fc",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### 导出问卷人员信息"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "dcdd18b3-d7b7-49b1-b148-c2ea9a7799ff",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import csv\n",
|
||||
"import openpyxl\n",
|
||||
"\n",
|
||||
"filename = 'data/安庆职工健康提升志愿者1.json'\n",
|
||||
"filename = 'data/安庆职工健康提升志愿者.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl) \n",
|
||||
"\n",
|
||||
@@ -1267,7 +1351,7 @@
|
||||
"wj_dm = {'psy_0556_sh':0,'tcm_0556_sh':1,'spine_0556_sh':2}\n",
|
||||
"list1 = []\n",
|
||||
"re_ta = {}\n",
|
||||
"filename = 'data/Survey_20231211-1702260996888.csv'\n",
|
||||
"filename = 'data/Survey_20240117.csv'\n",
|
||||
"with open(filename,'r',newline='') as csv_file:\n",
|
||||
" fl = csv.reader(csv_file,delimiter=',')\n",
|
||||
" header = next(fl) \n",
|
||||
@@ -1283,11 +1367,12 @@
|
||||
"\n",
|
||||
"tj = {}\n",
|
||||
"for k ,v in dict1.items():\n",
|
||||
" phone = v['phone']\n",
|
||||
" tj.setdefault(k, [0,0,0])\n",
|
||||
" for k1,v1 in re_ta.items():\n",
|
||||
" if phone in v1:\n",
|
||||
" tj[k][wj_dm[k1]] = 1\n",
|
||||
" if 'phone' in v.keys():\n",
|
||||
" phone = v['phone']\n",
|
||||
" tj.setdefault(k, [0,0,0])\n",
|
||||
" for k1,v1 in re_ta.items():\n",
|
||||
" if phone in v1:\n",
|
||||
" tj[k][wj_dm[k1]] = 1\n",
|
||||
"list1 = []\n",
|
||||
"for k, v in tj.items():\n",
|
||||
" list2 = []\n",
|
||||
@@ -1298,7 +1383,7 @@
|
||||
" list2.append(item)\n",
|
||||
" list1.append(list2)\n",
|
||||
" \n",
|
||||
"filename = 'data/安庆职工健康提升问卷情况表20231212.xlsx'\n",
|
||||
"filename = 'data/安庆职工健康提升问卷情况表20240108.xlsx'\n",
|
||||
"wb = openpyxl.Workbook()\n",
|
||||
"sheet = wb.active\n",
|
||||
"title = ['编号','员工姓名','手机号码','心理','中医','脊柱']\n",
|
||||
@@ -1319,45 +1404,12 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 29,
|
||||
"execution_count": null,
|
||||
"id": "ea4fffc4-3c6e-4f85-819f-52f969e04dd7",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2023-12-12T04:06:50.977355Z",
|
||||
"iopub.status.busy": "2023-12-12T04:06:50.976552Z",
|
||||
"iopub.status.idle": "2023-12-12T04:06:51.007761Z",
|
||||
"shell.execute_reply": "2023-12-12T04:06:51.005174Z",
|
||||
"shell.execute_reply.started": "2023-12-12T04:06:50.977281Z"
|
||||
},
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"18055696268\n",
|
||||
"13865166211\n",
|
||||
"13966607917\n",
|
||||
"13855640093\n",
|
||||
"18155688687\n",
|
||||
"15156230686\n",
|
||||
"13074076020\n",
|
||||
"18655663060\n",
|
||||
"15905566828\n",
|
||||
"13905562130\n",
|
||||
"13855602427\n",
|
||||
"13966613066\n",
|
||||
"15856585658\n",
|
||||
"13909669602\n",
|
||||
"18055691637\n",
|
||||
"18755696791\n",
|
||||
"19955611658\n",
|
||||
"13966637322\n",
|
||||
"13955603120\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import csv\n",
|
||||
@@ -1370,9 +1422,10 @@
|
||||
"phone = set()\n",
|
||||
"phone1 = set()\n",
|
||||
"for k,v in dict1.items():\n",
|
||||
" phone.add(v['phone'])\n",
|
||||
" if 'phone' in v.keys():\n",
|
||||
" phone.add(v['phone'])\n",
|
||||
"\n",
|
||||
"filename = 'data/Survey_20231211-1702260996888.csv'\n",
|
||||
"filename = 'data/Survey_20240108.csv'\n",
|
||||
"with open(filename,'r',newline='') as csv_file:\n",
|
||||
" fl = csv.reader(csv_file,delimiter=',')\n",
|
||||
" header = next(fl) \n",
|
||||
@@ -1421,6 +1474,97 @@
|
||||
"for item in phone1:\n",
|
||||
" print(item)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "40b39da5-67e2-4d98-a7b7-175086dd12c8",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### 生成报告"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 28,
|
||||
"id": "49880f85-6cda-44a6-a77f-3abd10672d7a",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2024-01-17T04:40:13.175154Z",
|
||||
"iopub.status.busy": "2024-01-17T04:40:13.174675Z",
|
||||
"iopub.status.idle": "2024-01-17T04:40:29.104763Z",
|
||||
"shell.execute_reply": "2024-01-17T04:40:29.103968Z",
|
||||
"shell.execute_reply.started": "2024-01-17T04:40:13.175118Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"98\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_安庆志愿者.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"list1 = []\n",
|
||||
"fiie_path ='./安庆职工健康提升/'\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'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
|
||||
" mydata['title'] = '中国石化安庆石化公司'\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','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",
|
||||
" \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": "319df381-b4fc-4795-8769-df9cd25bd04a",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
|
||||
Reference in new issue
Block a user