20240117

体测单位/体测数据管理.ipynb

@@ -273,12 +273,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 97,
    "id": "25a269c3-758f-4e79-ae6d-a6e6f161d64b",
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-01-04T05:07:18.373605Z",
+     "iopub.status.busy": "2024-01-04T05:07:18.373107Z",
+     "iopub.status.idle": "2024-01-04T05:07:18.666664Z",
+     "shell.execute_reply": "2024-01-04T05:07:18.665504Z",
+     "shell.execute_reply.started": "2024-01-04T05:07:18.373566Z"
+    },
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "+8613810428462 send success\n"
+     ]
+    }
+   ],
    "source": [
     "from tencentcloud.common import credential\n",
     "from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n",
@@ -290,8 +305,8 @@
     "\n",
     "\n",
     "\n",
-    "phone = '+86'+'13520300915'\n",
+    "phone = '+86'+'13810428462'\n",
-    "yzm = '036578'\n",
+    "yzm = '033716'\n",
     "try:    \n",
     "    secretId = \"AKID22rVyvSqbikXFFvav31ykc9YmqjN6KYc\"\n",
     "    secretKey = \"51XVL1YxDKI6mJh8au6DDuTskS1RhwJX\"\n",

体测单位/体质检测数据处理.ipynb

@@ -548,12 +548,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 100,
    "id": "b123ee6b-85d2-4660-b226-321832a6b796",
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-01-03T15:42:44.653385Z",
+     "iopub.status.busy": "2024-01-03T15:42:44.652940Z",
+     "iopub.status.idle": "2024-01-03T15:42:59.566347Z",
+     "shell.execute_reply": "2024-01-03T15:42:59.565824Z",
+     "shell.execute_reply.started": "2024-01-03T15:42:44.653349Z"
+    },
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "43\n"
+     ]
+    }
+   ],
    "source": [
     "import requests\n",
     "import json\n",
@@ -577,7 +592,7 @@
     "    \n",
     "    id = str(k).rjust(4,\"0\")\n",
     "    mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
-    "    mydata['title'] = '中国农业银行股份有限公司'\n",
+    "    mydata['title'] = '中国石化化工销售'\n",
     "    mydata['subtitle'] = v['unit']\n",
     "    mydata['id'] = id\n",
     "    mydata['name'] = v['name']\n",
@@ -604,8 +619,8 @@
     "            else:\n",
     "                mark = v[item]['成绩'].split()[0]\n",
     "            mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
-    "    if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
+    "    #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
-    "        \n",
+    "    if len(mydata['fits']) >2 :    \n",
     "        list1.append(mydata)\n",
     "        list2.append([k,v['name']])\n",
     "        i+=1\n",

体测单位/安庆石化.ipynb

@@ -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": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
    "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",
+    "for n in range(4, sheet.max_row+1):\n",
-    "    code = int(sheet.cell(n, 1).value)\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,
+   "execution_count": null,
-   "id": "dcdd18b3-d7b7-49b1-b148-c2ea9a7799ff",
+   "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": [
+   "outputs": [],
-    {
+   "source": [
-     "name": "stdout",
+    "import json\n",
-     "output_type": "stream",
+    "import csv\n",
-     "text": [
+    "import openpyxl\n",
-      "3\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",
+    "    if 'phone' in v.keys():\n",
-    "    tj.setdefault(k, [0,0,0])\n",
+    "        phone = v['phone']\n",
-    "    for k1,v1 in re_ta.items():\n",
+    "        tj.setdefault(k, [0,0,0])\n",
-    "        if phone in v1:\n",
+    "        for k1,v1 in re_ta.items():\n",
-    "            tj[k][wj_dm[k1]] = 1\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": [
+   "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"
-     ]
-    }
-   ],
    "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": {