440 lines
13 KiB
Plaintext
440 lines
13 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "333a5431-a697-4330-a587-455d6d18ebb0",
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"metadata": {},
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"source": [
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"# 文件管理"
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]
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},
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{
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"cell_type": "markdown",
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"id": "bcd48bb6-4756-4748-ac8b-854eeee92a3b",
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"metadata": {},
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"source": [
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"## 数字文件名转换为文本文件名"
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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": "54b320e8-c3c1-4214-9a9e-db13c2558604",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import os,sys,shutil\n",
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"import openpyxl\n",
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"import math\n",
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"\n",
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"fi_xls = os.getcwd() + '/file/中国石油化工股份有限公司安庆炼化分公司员工在职人员名单.xlsx'\n",
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"fi_path = os.getcwd() + '/file/210924'\n",
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"old = []\n",
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"dict1 = {}\n",
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"\n",
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"wb = openpyxl.load_workbook(fi_xls)\n",
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"sheet = wb.active\n",
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"depart = []\n",
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"for n in range(2,sheet.max_row+1): \n",
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" m_name = sheet.cell(n,1).value.strip()\n",
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" m_depart = sheet.cell(n,5).value\n",
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" if m_depart not in depart:\n",
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" depart.append(sheet.cell(n,5).value)\n",
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" dict1[int(m_name.split('.')[0])] = [sheet.cell(n,2).value.strip(),sheet.cell(n,5).value.strip()]\n",
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" \n",
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"# 创建部门办公室 \n",
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"m_path = fi_path = os.getcwd()+'/file/210924/new'\n",
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"for pn in depart:\n",
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" if not os.path.exists(m_path + '/' + pn):\n",
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" os.mkdir(m_path + '/' + pn)\n",
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"fl=os.listdir(fi_path)\n",
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"for fn in fl:\n",
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" if os.path.isfile(fi_path + '/' + fn):\n",
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" ofn = int(fn.split('.')[0])\n",
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" old.append(ofn) \n",
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"old.sort()\n",
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"for n in old: \n",
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" o_name = f'{fi_path}/{n}.pdf'\n",
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" n_name = f'{fi_path}/new/{dict1[n][1]}/{dict1[n][0]}.pdf'\n",
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" if not os.path.exists(n_name):\n",
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" shutil.copyfile(o_name,n_name)\n",
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" print(n_name)\n",
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"#print(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": "69712868-6786-430b-8591-f6828d781588",
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"metadata": {},
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"source": [
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"## PDF文件压缩"
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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": "8492dc14-739e-4c78-a302-f4b57ae571dd",
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"metadata": {},
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"outputs": [],
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"source": [
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"import fitz\n",
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"import os\n",
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"\n",
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"\n",
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"def covert2pic(zoom):\n",
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" if os.path.exists('.pdf'): # 临时文件，需为空\n",
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" os.removedirs('.pdf')\n",
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" os.mkdir('.pdf')\n",
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" for pg in range(totaling):\n",
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" page = doc[pg]\n",
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" zoom = int(zoom) #值越大，分辨率越高，文件越清晰\n",
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" rotate = int(0)\n",
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" print(page)\n",
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" trans = fitz.Matrix(zoom / 100.0, zoom / 100.0).preRotate(rotate)\n",
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" pm = page.getPixmap(matrix=trans, alpha=False)\n",
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" \n",
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" lurl='.pdf/%s.jpg' % str(pg+1)\n",
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" pm.writePNG(lurl)\n",
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" doc.close()\n",
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"\n",
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"def pic2pdf(obj):\n",
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" doc = fitz.open()\n",
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" for pg in range(totaling):\n",
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" img = '.pdf/%s.jpg' % str(pg+1)\n",
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" imgdoc = fitz.open(img) # 打开图片\n",
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" pdfbytes = imgdoc.convertToPDF() # 使用图片创建单页的 PDF\n",
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" os.remove(img) \n",
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" imgpdf = fitz.open(\"pdf\", pdfbytes)\n",
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" doc.insertPDF(imgpdf) # 将当前页插入文档\n",
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" if os.path.exists(obj): # 若文件存在先删除\n",
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" os.remove(obj)\n",
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" doc.save(obj) # 保存pdf文件\n",
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" doc.close()\n",
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"\n",
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"\n",
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"def pdfz(sor, obj, zoom): \n",
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" covert2pic(zoom)\n",
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" pic2pdf(obj)\n",
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" \n",
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"\n",
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"\n",
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"sor = \"5.pdf\" # 需要压缩的PDF文件\n",
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"obj = \"new-\" + sor\n",
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"doc = fitz.open(sor) \n",
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"totaling = doc.pageCount\n",
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"\n",
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"zoom = 150 # 清晰度调节，缩放比率\n",
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"pdfz(sor, obj, zoom)\n",
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"os.removedirs('.pdf')\n"
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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": "88d84849-5b98-48cb-86b1-e96757a8615f",
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"metadata": {},
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"outputs": [],
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"source": [
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"from pdf2image import convert_from_path, convert_from_bytes\n",
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"import os,sys\n",
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"import tempfile\n",
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"from pdf2image.exceptions import (\n",
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" PDFInfoNotInstalledError,\n",
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" PDFPageCountError,\n",
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" PDFSyntaxError\n",
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")\n",
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"#images = convert_from_path('1.pdf',dpi=200,fmt='jpg', output_folder='./sample_data')\n",
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"with tempfile.TemporaryDirectory() as path:\n",
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" images_from_path = convert_from_path('5.pdf', dpi=100,fmt='jpg', output_folder='./pic')\n",
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"print(path)"
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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": "058a40ba-4948-4675-8400-e4c762e836ee",
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"metadata": {},
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"outputs": [],
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"source": [
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"import img2pdf \n",
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"import os,sys\n",
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"import glob\n",
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"\n",
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"fl=glob.glob('./pic/*.jpg')\n",
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"fl.sort()\n",
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"a4inpt = (img2pdf.mm_to_pt(210),img2pdf.mm_to_pt(297))\n",
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"layout_fun = img2pdf.get_layout_fun(a4inpt)\n",
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"with open(\"name.pdf\",\"wb\") as f:\n",
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" f.write(img2pdf.convert(fl,layout_fun=layout_fun))"
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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": "e997ad75-b2d9-43bf-a1de-8833cfe0cf6a",
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"metadata": {},
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"outputs": [],
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"source": [
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"import glob\n",
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"import fitz # 导入本模块需安装pymupdf库\n",
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"import os,sys\n",
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"\n",
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"def pic2pdf_1(img_path, pdf_path, pdf_name):\n",
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" doc = fitz.open()\n",
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" fl=os.listdir(img_path)\n",
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" fl.sort()\n",
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" width, height = fitz.PaperSize(\"a4\")\n",
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" for img in fl:\n",
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" fn = img_path+'/'+img\n",
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" if os.path.isfile(fn):\n",
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" imgdoc = fitz.open(img_path+'/'+img)\n",
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" pdfbytes = imgdoc.convertToPDF()\n",
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" imgpdf = fitz.open(\"pdf\", pdfbytes,width = width, height = height)\n",
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" doc.insertPDF(imgpdf)\n",
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" doc.save(pdf_path +'/'+ pdf_name)\n",
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" doc.close()\n",
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"\n",
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"img_path = os.getcwd() +'/pic'\n",
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"pdf_path = os.getcwd()\n",
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"pic2pdf_1(img_path=img_path, pdf_path=pdf_path, pdf_name='1.pdf')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "1f38e4b6-ef20-4fef-801c-ff47951d2ad6",
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"metadata": {},
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"source": [
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"## 图片文件扫描识别"
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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": "8c990b6a-7f8e-4527-a150-65f60bd131ac",
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"metadata": {},
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"outputs": [],
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"source": [
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"#将指定目录下图片文件进行文字识别\n",
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"import os,sys\n",
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"from aip import AipOcr\n",
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"import glob\n",
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"\n",
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"\"\"\" 你的 APPID AK SK \"\"\"\n",
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"APP_ID = '17553946'\n",
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"API_KEY = 'IMC1ss3Tyo3vEAdVH6jgcdv2'\n",
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"SECRET_KEY = 'Iua6KdhuDtz159rjzGeFGpqgjhnoU0zZ'\n",
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"\n",
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"client = AipOcr(APP_ID, API_KEY, SECRET_KEY)\n",
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"def get_file_content(filePath):\n",
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" with open(filePath, 'rb') as fp:\n",
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" return fp.read()\n",
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"\n",
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"options = {}\n",
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"options[\"language_type\"] = \"CHN_ENG\"\n",
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"options[\"detect_direction\"] = \"true\"\n",
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"options[\"detect_language\"] = \"true\"\n",
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"options[\"probability\"] = \"true\"\n",
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"\n",
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"fi_path = os.getcwd()+'/pic'\n",
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"fl = glob.glob(f'{fi_path}/*.jpg')\n",
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"fl.sort()\n",
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"for fl1 in fl:\n",
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" file_name = fl1\n",
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" image = get_file_content(file_name)\n",
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" result= client.basicGeneral(image, options)\n",
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" if 'words_result' in result:\n",
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" print('\\n'.join([w['words'] for w in result['words_result']]))\n",
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" print('\\n')\n",
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" \n",
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" "
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]
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},
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{
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"cell_type": "markdown",
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"id": "d936ca99-269b-46f8-8582-fb02ed2cd3cc",
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"metadata": {},
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"source": [
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"## word文档读取"
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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": 47,
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"id": "d8043425-be9e-4e9e-bbfc-3a2d8885a860",
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"metadata": {},
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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 docx\n",
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"import json\n",
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"Doc = docx.Document(r\"症状对症处方选穴.docx\")\n",
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"#print(\"檔案內含段落數：\",len(Doc.paragraphs),\"\\n\")\n",
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"testList = []\n",
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"text1 = []\n",
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"dict1 = {}\n",
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"for text in Doc.paragraphs:\n",
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" testList.append(text)\n",
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"i = 0\n",
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"for pg in testList:\n",
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" \n",
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" if len(pg.text) >0:\n",
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" s = ''.join(pg.text.split()) \n",
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" if s[0:1] == '第':\n",
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" i += 1\n",
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" n = 0\n",
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" \n",
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" dict1.setdefault(i,{})\n",
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" dict1[i]['title'] = pg.text.split()[1]\n",
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" dict1[i]['sub'] = {}\n",
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" \n",
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" #dict1[i]['title'].setdefault(i,{})\n",
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" elif s[0:1] == '（':\n",
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" sub = s.split('）')[1]\n",
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" dict2 = {}\n",
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" dict1[i]['sub'].setdefault(sub,[])\n",
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" else:\n",
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" dict1[i]['sub'][sub].append(s)\n",
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"filename = '症状对症处方选穴.json'\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('ok') "
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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": 2,
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"id": "c440b599-9c80-4072-8543-d9c381214f1d",
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"metadata": {},
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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 docx\n",
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"import json\n",
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"Doc = docx.Document(r\"常见疾病辨病处方选穴.docx\")\n",
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"#print(\"檔案內含段落數：\",len(Doc.paragraphs),\"\\n\")\n",
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"testList = []\n",
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"text1 = []\n",
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"dict1 = {}\n",
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"for text in Doc.paragraphs:\n",
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" testList.append(text)\n",
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"i = 0\n",
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"for pg in testList:\n",
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" \n",
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" if len(pg.text) >0:\n",
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" s = ''.join(pg.text.split()) \n",
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" if s[0:1] == '第':\n",
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" i += 1\n",
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" n = 0\n",
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" \n",
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" dict1.setdefault(i,{})\n",
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" dict1[i]['title'] = pg.text.split('节')[1]\n",
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" dict1[i]['sub'] = {}\n",
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" \n",
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" #dict1[i]['title'].setdefault(i,{})\n",
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" elif s[0:1] == '（':\n",
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" sub = s.split('）')[1]\n",
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" dict2 = {}\n",
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" dict1[i]['sub'].setdefault(sub,[])\n",
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" else:\n",
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" dict1[i]['sub'][sub].append(s)\n",
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"filename = '常见疾病辨病处方选穴.json'\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('ok') "
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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": 69,
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"id": "b5e500b5-14d4-4417-8b5e-46df71a6b6b8",
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"metadata": {},
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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 json\n",
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"import re\n",
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"filename = '症状对症处方选穴.json'\n",
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"pattern = r'[\\d\\.]'\n",
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"mo =r'[\\u4e00-\\u9fa5]+'\n",
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"dict2 = {}\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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"for k,v in dict1.items():\n",
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" m_title = v['title']\n",
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" for k1,v1 in v['sub'].items():\n",
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" sub_title = k1 \n",
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" s = ''\n",
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" for mx in v1: \n",
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" s = s + mx\n",
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" list1 = re.split(pattern, s)\n",
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" list2 = []\n",
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" for ss in list1:\n",
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" if ss != '':\n",
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" list3 = re.findall(mo,ss)\n",
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" list2.append(list3)\n",
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" \n",
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" #print(m_title,sub_title,list2)\n",
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" dict2.setdefault(m_title,{})\n",
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" dict2[m_title][sub_title] = list2\n",
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"filename = 'new_症状对症处方选穴.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2, fl,ensure_ascii=False) \n",
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"print('ok') \n",
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" "
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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": "eeea1429-e574-4d3b-88fd-0ddb3c090947",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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