20250415
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@@ -467,10 +467,180 @@
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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": "76125cbf-b20b-464c-8d42-dc03715ef1e2",
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"metadata": {},
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"source": [
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"## 新疆油田问卷调查"
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]
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},
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{
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"cell_type": "markdown",
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"id": "646db6a3-8f93-46f5-a235-b417a0b8cb6c",
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"metadata": {},
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"source": [
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"### 新疆油田问卷导入"
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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": 13,
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"id": "b39a8f69-b44a-440e-9bbf-b338a39c9e6b",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-04-15T04:00:13.557649Z",
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"iopub.status.busy": "2025-04-15T04:00:13.557119Z",
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"iopub.status.idle": "2025-04-15T04:00:13.580138Z",
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"shell.execute_reply": "2025-04-15T04:00:13.579406Z",
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"shell.execute_reply.started": "2025-04-15T04:00:13.557581Z"
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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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"117\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 csv\n",
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"import openpyxl\n",
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"import time\n",
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"from datetime import date\n",
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"\n",
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"dict1 = {}\n",
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"\n",
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"\n",
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"\n",
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"list1 = []\n",
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"filename = 'data/Survey_20250415.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" list1.append(line)\n",
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"for item in list1:\n",
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" phone = item[2]\n",
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" tcm = [] \n",
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" for i in range(0,60):\n",
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" tcm.append(0)\n",
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" content = json.loads(item[5])\n",
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" name = content['name']\n",
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" sex = content['gender']\n",
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" for k, v in content.items(): \n",
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" if 'tcm' in k:\n",
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" i = int(k[3:])\n",
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" tcm[i-1] = int(v)\n",
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" dict1.setdefault(phone,{})\n",
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" dict1[phone]['name'] = name\n",
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" if sex =='f':\n",
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" dict1[phone]['sex'] = '女'\n",
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" else:\n",
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" dict1[phone]['sex'] = '男' \n",
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" dict1[phone]['unit'] = ' '\n",
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" dict1[phone]['month'] = 48\n",
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" dict1[phone]['tcm'] = tcm\n",
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"filename = 'data/result_新疆油田问卷.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict1, fl, ensure_ascii=False)\n",
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"print(len(dict1))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "22c6125c-272a-4e8f-aaf7-35822cbfb9e2",
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"metadata": {},
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"source": [
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"### 新疆油田问卷报告生成"
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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": 15,
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"id": "c90ff79b-99ec-4b09-b816-7abf87f0b985",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-04-15T05:28:57.532669Z",
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"iopub.status.busy": "2025-04-15T05:28:57.531849Z",
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"iopub.status.idle": "2025-04-15T05:29:23.324205Z",
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"shell.execute_reply": "2025-04-15T05:29:23.323731Z",
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"shell.execute_reply.started": "2025-04-15T05:28:57.532581Z"
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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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"117\n"
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]
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}
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],
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"source": [
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"import requests\n",
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"import json\n",
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"import openpyxl\n",
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"\n",
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"\n",
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"headers = {\n",
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" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
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" }\n",
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"filename = 'data/result_新疆油田问卷.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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"file_path ='./新疆油田问卷/'\n",
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"\n",
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"i=0\n",
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"list2 = []\n",
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"for k, v in dict1.items():\n",
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" list1 = []\n",
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" mydata = {}\n",
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" \n",
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" id = str(k)\n",
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" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
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" mydata['title'] = '中国石油新疆油田分公司'\n",
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" mydata['subtitle'] = v['unit']\n",
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" mydata['id'] = id\n",
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" mydata['name'] = v['name']\n",
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" if v['sex'] == '男':\n",
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" mydata['gender'] = 'male'\n",
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" else:\n",
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" mydata['gender'] = 'female'\n",
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" \n",
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" mydata['month'] = v['month']\n",
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" \n",
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" survey_list = ['tcm','psy_yangmiao_old','spine']\n",
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" for item in survey_list:\n",
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" if item in v.keys():\n",
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" mydata.setdefault('surveys',{})\n",
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" mydata['surveys'][item] = v[item]\n",
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" \n",
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" \n",
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" #mydata['fits'] = {}\n",
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" \n",
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" #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
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" #if len(mydata['fits']) >2 : \n",
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" if 'surveys' in mydata.keys():\n",
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" list1.append(mydata)\n",
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" list2.append([k,v['name']])\n",
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" i+=1\n",
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" x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
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" #print(id,v['name'],x.text)\n",
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" #print(mydata)\n",
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" #x.close()\n",
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"print(i)"
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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": null,
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"id": "f44c57ed-aac8-481a-9126-0dadcbe0190c",
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"id": "508c76b5-b51f-43d5-8247-05a57cd0249c",
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"metadata": {},
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"outputs": [],
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"source": []
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