20251107
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@@ -690,11 +690,11 @@
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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_胜利采油厂1.json'\n",
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"filename = 'data/result_镇海2025-1.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 ='./胜利采油厂/'\n",
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"file_path ='./镇海石化2025/'\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
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"i=0\n",
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"list2 = []\n",
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@@ -702,9 +702,10 @@
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" list1 = []\n",
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" mydata = {}\n",
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" \n",
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" id = str(k).rjust(8,\"0\")\n",
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" #id = str(k).rjust(8,\"0\")\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'] = '东营胜利采油厂'\n",
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" mydata['title'] = '中国石化镇海炼化公司'\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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@@ -743,6 +744,85 @@
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"print(i)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e81d3d4e-561e-4b43-bceb-b6d9afb38100",
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"metadata": {},
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"source": [
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"### 生成报告（按照编号）"
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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": "2e34cf3a-3488-49c2-b18f-48c35b62e6ee",
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"metadata": {},
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"outputs": [],
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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_镇海2025-1.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 ='./镇海石化2025/'\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
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"i=0\n",
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"list2 = []\n",
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"person =['X00309','012947','013304','007231','007243','013612']\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).rjust(8,\"0\")\n",
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" id = str(k)\n",
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" if id in person:\n",
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" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
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" mydata['title'] = '中国石化镇海炼化公司'\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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" mydata['fits'] = {}\n",
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" survey_list = ['tcm','psy','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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" for item in list_item:\n",
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" if item in v.keys():\n",
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" mydata.setdefault('fits',{})\n",
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" if item in ['lung','pushup','step','situp']:\n",
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" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
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" else:\n",
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" mark = v[item]['成绩'].split()[0]\n",
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" mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\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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" 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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@@ -835,19 +915,19 @@
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"import glob\n",
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"from pathlib import Path\n",
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"\n",
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"fi_path = '/home/songyi/pdf-typescript-old2/胜利采油厂'\n",
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"new_path = 'file/胜利采油厂'\n",
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"fi_path = '/home/songyi/pdf-typescript-old2/镇海石化2025'\n",
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"new_path = 'file/镇海石化2025'\n",
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"old = []\n",
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"dict2 = {}\n",
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"\n",
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"filename = 'data/result_胜利采油厂1.json'\n",
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"filename = 'data/result_镇海2025-1.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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"fls = glob.glob(f'{fi_path}/*.pdf')\n",
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"print(len(fls))\n",
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"for fn in fls:\n",
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" fi_name =Path(fn).stem.split('-')[0]\n",
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" code = int(fi_name) \n",
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" code = fi_name \n",
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" unit_path = Path(new_path,dict1[str(code)]['unit'])\n",
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" unit_path.mkdir(parents = True, exist_ok = True)\n",
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" n_name = Path(unit_path,Path(fn).stem+'.pdf')\n",
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@@ -866,12 +946,27 @@
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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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"execution_count": 10,
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"id": "02319955-7fb6-4791-ae45-55b03bdadd54",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-07T06:31:33.947472Z",
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"iopub.status.busy": "2025-11-07T06:31:33.946853Z",
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"iopub.status.idle": "2025-11-07T06:31:34.095980Z",
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"shell.execute_reply": "2025-11-07T06:31:34.095388Z",
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"shell.execute_reply.started": "2025-11-07T06:31:33.947411Z"
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},
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"tags": []
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},
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"outputs": [],
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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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"ok\n"
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]
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}
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],
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"source": [
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"import os,sys,shutil\n",
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"import json\n",
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@@ -879,9 +974,9 @@
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"from pathlib import Path\n",
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"import openpyxl\n",
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"\n",
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"fi_path = '/home/songyi/pdf-typescript-old2/胜利采油厂'\n",
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"fi_path = '/home/songyi/pdf-typescript-old2/镇海石化2025'\n",
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"\n",
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"filename = 'data/result_胜利采油厂1.json'\n",
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"filename = 'data/result_镇海2025-1.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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"fls = glob.glob(f'{fi_path}/*.pdf')\n",
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@@ -890,14 +985,14 @@
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"for fn in fls:\n",
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" list2 = []\n",
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" fi_name =Path(fn).stem.split('-')[0] \n",
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" code = int(fi_name)\n",
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" code = fi_name\n",
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" sex = dict1[str(code)]['sex']\n",
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" unit = dict1[str(code)]['unit']\n",
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" list2 = [fi_name,Path(fn).stem.split('-')[1],sex,unit]\n",
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" \n",
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" list1.append(list2)\n",
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"\n",
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"filename = 'data/胜利采油厂体测报告明细表.xlsx'\n",
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"filename = 'data/2025年镇海石化体测报告明细表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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