20231018

体测单位/体质检测数据处理.ipynb

@@ -3,7 +3,9 @@
   {
    "cell_type": "markdown",
    "id": "19280f5c-8e34-4a64-8dfb-6353cbf597d2",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "source": [
     "# 体质检测数据处理"
    ]
@@ -11,7 +13,10 @@
   {
    "cell_type": "markdown",
    "id": "112d80f4-607b-41f9-bb30-ac2eb8f52ee2",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true,
+    "tags": []
+   },
    "source": [
     "## 基础数据管理"
    ]
@@ -510,27 +515,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "f20224aa-2131-473d-a0ec-0743482ed58e",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-10-18T04:07:20.752069Z",
-     "iopub.status.busy": "2023-10-18T04:07:20.751766Z",
-     "iopub.status.idle": "2023-10-18T04:07:20.842528Z",
-     "shell.execute_reply": "2023-10-18T04:07:20.841931Z",
-     "shell.execute_reply.started": "2023-10-18T04:07:20.752043Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok!\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "\n",
@@ -550,7 +540,7 @@
     "        i = 1\n",
     "        list2 = []\n",
     "dict2[p] = list2\n",
-    "filename = f'报告清单.json'\n",
+    "filename = f'data/报告清单.json'\n",
     "with open(filename,'w') as fl:\n",
     "    json.dump(dict2,fl , ensure_ascii=False) \n",
     "print('ok!') "
@@ -587,38 +577,42 @@
     "list1 = []\n",
     "fiie_path ='./134/'\n",
     "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
-    "i=1\n",
+    "i = 27\n",
     "list2 = []\n",
-    "for  k, v in dict1.items():\n",
+    "filename = 'data/报告清单.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict2 = json.load(fl)\n",
+    "print(i)\n",
+    "for k in dict2[str(i)]:\n",
+    "    \n",
     "    list1 = []\n",
     "    mydata = {}\n",
     "    \n",
     "    id = str(k).rjust(8,\"0\")\n",
-    "    mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
+    "    mydata['path'] = fiie_path+id+'-'+ dict1[k]['name']+'.pdf'\n",
     "    mydata['title'] = '中石化(天津)石油化工\\n有限公司'\n",
-    "    mydata['subtitle'] = v['unit']\n",
+    "    mydata['subtitle'] = dict1[k]['unit']\n",
     "    mydata['id'] = id\n",
-    "    mydata['name'] = v['name']\n",
+    "    mydata['name'] = dict1[k]['name']\n",
     "    if v['sex'] == '男':\n",
     "        mydata['gender'] = 'male'\n",
     "    else:\n",
     "        mydata['gender'] = 'female'\n",
     "    \n",
-    "    mydata['month'] = v['month']\n",
+    "    mydata['month'] = dict1[k]['month']\n",
     "    mydata['fits'] = {}\n",
     "    for item in list_item:\n",
-    "        if item in v.keys():\n",
+    "        if item in dict1[k].keys():\n",
     "            if item in ['lung','pushup','step','situp']:\n",
-    "                mark = v[item]['成绩'].split()[0].split('.')[0]\n",
+    "                mark = dict1[k][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",
+    "                mark = dict1[k][item]['成绩'].split()[0]\n",
+    "            mydata['fits'][item] = {'mark':mark,'score':dict1[k][item]['score']}\n",
     "    if len(mydata['fits']) >2:        \n",
     "        list1.append(mydata)\n",
-    "        list2.append([k,v['name']])\n",
-    "        i+=1\n",
-    "        x = requests.post('http://192.168.1.148:3003', data = json.dumps(list1), headers=headers)\n",
-    "        print(id,v['name'],x.text)\n",
+    "        list2.append([k,dict1[k]['name']])\n",
+    "        x = requests.post('http://192.168.31.163:3003', data = json.dumps(list1), headers=headers)\n",
+    "        print(id,dict1[k]['name'],x.text)\n",
     "        #x.close()\n"
    ]
   },