{ "cells": [ { "cell_type": "markdown", "id": "333a5431-a697-4330-a587-455d6d18ebb0", "metadata": {}, "source": [ "# 文件管理" ] }, { "cell_type": "markdown", "id": "bcd48bb6-4756-4748-ac8b-854eeee92a3b", "metadata": {}, "source": [ "## 数字文件名转换为文本文件名" ] }, { "cell_type": "code", "execution_count": null, "id": "54b320e8-c3c1-4214-9a9e-db13c2558604", "metadata": { "tags": [] }, "outputs": [], "source": [ "import os,sys,shutil\n", "import openpyxl\n", "import math\n", "\n", "fi_xls = os.getcwd() + '/data/高新区.xlsx'\n", "fi_path = os.getcwd() + '/file/220720'\n", "old = []\n", "dict1 = {}\n", "\n", "wb = openpyxl.load_workbook(fi_xls)\n", "sheet = wb.active\n", "depart = []\n", "for n in range(2,sheet.max_row+1): \n", " m_name = str(sheet.cell(n,1).value)\n", " m_depart = sheet.cell(n,5).value\n", " if m_depart not in depart:\n", " depart.append(sheet.cell(n,5).value)\n", " dict1[int(m_name.split('.')[0])] = [sheet.cell(n,2).value.strip(),sheet.cell(n,5).value.strip()]\n", " \n", "# 创建部门办公室 \n", "m_path = os.getcwd()+'/file/220427/new'\n", "for pn in depart:\n", " if not os.path.exists(m_path + '/' + pn):\n", " os.mkdir(m_path + '/' + pn)\n", "fl=os.listdir(fi_path)\n", "for fn in fl:\n", " if os.path.isfile(fi_path + '/' + fn):\n", " ofn = int(fn.split('.')[0])\n", " old.append(ofn) \n", "old.sort()\n", "for n in old: \n", " o_name = f'{fi_path}/{n}.pdf'\n", " n_name = f'{fi_path}/new/{dict1[n][1]}/{str(n).rjust(5,\"0\")}-{dict1[n][0]}.pdf'\n", " if not os.path.exists(n_name):\n", " shutil.copyfile(o_name,n_name)\n", " print(n_name)\n", "#print(dict1)" ] }, { "cell_type": "code", "execution_count": null, "id": "4a43668e-47ba-491f-a29c-e289885badb0", "metadata": { "tags": [] }, "outputs": [], "source": [ "import os,sys,shutil\n", "import openpyxl\n", "import math\n", "\n", "fi_xls = os.getcwd() + '/data/高新区.xlsx'\n", "fi_path = os.getcwd() + '/file/220720'\n", "old = []\n", "dict1 = {}\n", "\n", "wb = openpyxl.load_workbook(fi_xls)\n", "sheet = wb.active\n", "depart = []\n", "for n in range(2,sheet.max_row+1): \n", " m_name = str(sheet.cell(n,1).value)\n", " m_depart = sheet.cell(n,5).value\n", " if m_depart not in depart:\n", " depart.append(sheet.cell(n,5).value)\n", " dict1[sheet.cell(n,4).value] = [sheet.cell(n,6).value,sheet.cell(n,3).value]\n", "#print(dict1)\n", "fl=os.listdir(fi_path)\n", "for fn in fl:\n", " if os.path.isfile(fi_path + '/' + fn):\n", " ofn = int(fn.split('.')[0])\n", " old.append(ofn) \n", "old.sort()\n", "\n", "\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "i = 0\n", " \n", "for item in old:\n", " m_bh = item\n", " m_name = dict1[item][0]\n", " m_dep = dict1[item][1]\n", " i += 1\n", " sheet[f'A{i}'] = m_bh\n", " sheet[f'B{i}'] = m_name\n", " sheet[f'C{i}'] = m_dep\n", " \n", " \n", "wb.save('data/高新区报告.xlsx') " ] }, { "cell_type": "markdown", "id": "72866db8-89be-4498-b854-a3aefe4c897a", "metadata": {}, "source": [ "## 低碳院人员信息转换" ] }, { "cell_type": "code", "execution_count": null, "id": "433c3f52-f4ae-4544-8d06-3636feae71ba", "metadata": { "tags": [] }, "outputs": [], "source": [ "import os,sys,shutil\n", "import openpyxl\n", "import math\n", "\n", "fi_xls = os.getcwd() + '/data/北京低碳监测.xlsx'\n", "fi_path = os.getcwd() + '/file/220724'\n", "old = []\n", "dict1 = {}\n", "\n", "wb = openpyxl.load_workbook(fi_xls)\n", "sheet = wb.active\n", "depart = []\n", "for n in range(2,sheet.max_row): \n", " m_name = sheet.cell(n,6).value\n", " m_depart = sheet.cell(n,3).value\n", " if sheet.cell(n,4).value is not None:\n", " dict1[int(sheet.cell(n,4).value)] = [m_name,m_depart]\n", "\n", "m_path = os.getcwd()+'/file/220724/new'\n", "\n", "fl=os.listdir(fi_path)\n", "for fn in fl:\n", " if os.path.isfile(fi_path + '/' + fn):\n", " ofn = int(fn.split('.')[0])\n", " old.append(ofn) \n", "old.sort()\n", "for n in old: \n", " o_name = f'{fi_path}/{n}.pdf'\n", " n_name = f'{fi_path}/new/{str(n).rjust(5,\"0\")}-{dict1[n][0]}.pdf'\n", " if not os.path.exists(n_name):\n", " shutil.copyfile(o_name,n_name)\n", " print(n_name)\n", "#print(dict1)" ] }, { "cell_type": "markdown", "id": "cda8fbed-c0f2-4bfc-a23f-6b412bbcd0ba", "metadata": {}, "source": [ "## 低碳院人员信息核验" ] }, { "cell_type": "code", "execution_count": null, "id": "a34c9f6b-4ef3-4678-89bb-8b692e183968", "metadata": { "tags": [] }, "outputs": [], "source": [ "import os,sys,shutil\n", "import openpyxl\n", "import math\n", "import json\n", "\n", "fi_xls = os.getcwd() + '/data/北京低碳监测.xlsx'\n", "fi_path = os.getcwd() + '/file/220724'\n", "old = []\n", "dict1 = {}\n", "dict2 = {}\n", "dict3 = {}\n", "wb = openpyxl.load_workbook(fi_xls)\n", "sheet = wb.active\n", "depart = []\n", "for n in range(2,sheet.max_row+1): \n", " m_name = sheet.cell(n,6).value\n", " m_depart = sheet.cell(n,3).value\n", " if sheet.cell(n,4).value is not None:\n", " dict1[int(sheet.cell(n,4).value)] = [m_name,m_depart]\n", "\n", "fi_xls = os.getcwd() + '/data/1658883945637.xlsx'\n", "wb = openpyxl.load_workbook(fi_xls)\n", "sheet = wb.active\n", "for n in range(2,sheet.max_row+1): \n", " m_dm = sheet.cell(n,3).value\n", " m_depart = sheet.cell(n,2).value\n", " m_name = sheet.cell(n,4).value\n", " if sheet.cell(n,3).value is not None:\n", " dict2[sheet.cell(n,3).value] = [m_name,m_depart,m_dm]\n", "#print(dict2)\n", "fl=os.listdir(fi_path)\n", "for fn in fl:\n", " if os.path.isfile(fi_path + '/' + fn):\n", " ofn = int(fn.split('.')[0])\n", " old.append(ofn) \n", "old.sort()\n", "for n in old:\n", " m_name = dict1[n][0]\n", " m_depart = dict1[n][1]\n", " for item in dict2.values():\n", " if m_name in item and m_depart in item:\n", " dict3[n] = [m_name,m_depart,item[2]]\n", " break\n", "for k in old:\n", " if k not in dict3.keys():\n", " print(k)\n", "with open('data/低碳院报告.json','w') as fl2:\n", " json.dump(dict3,fl2,ensure_ascii=False) " ] }, { "cell_type": "markdown", "id": "3244663e-890c-48de-ae6a-1f666cb1bb76", "metadata": {}, "source": [ "## 低碳院人员附件核验" ] }, { "cell_type": "code", "execution_count": null, "id": "8e20ead8-754a-4535-95ea-b103264e3783", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import os\n", "\n", "fl_name = 'data/低碳院报告.json'\n", "\n", "with open(fl_name,'r') as fl:\n", " m_xx = json.load(fl)\n", "for k, v in m_xx.items():\n", " m_bh = str(k).rjust(5,\"0\")\n", " fl_name = f'file/220724/new/{m_bh}-{v[0]}.pdf'\n", " if os.path.exists(fl_name):\n", " print(fl_name)\n", " else:\n", " print(f'{v[0]}不存在')" ] }, { "cell_type": "markdown", "id": "a7976e2e-23fa-4464-89f5-0e96f721bc95", "metadata": {}, "source": [ "## 低碳院人员导出" ] }, { "cell_type": "code", "execution_count": null, "id": "d77c3ff5-91fb-4449-80fb-57bc467c27bd", "metadata": {}, "outputs": [], "source": [ "import json\n", "import openpyxl\n", " \n", "\n", "fl_name = 'data/低碳院报告.json'\n", "\n", "with open(fl_name,'r') as fl:\n", " m_xx = json.load(fl)\n", " \n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "i = 0\n", " \n", "for k, v in m_xx.items():\n", " m_bh = str(k).rjust(5,\"0\")\n", " m_name = v[0]\n", " fl = f'{m_bh}-{v[0]}.pdf'\n", " m_rec = v[2]+'@ceic.com'\n", " i += 1\n", " sheet[f'A{i}'] = i\n", " sheet[f'B{i}'] = m_bh\n", " sheet[f'C{i}'] = m_name\n", " sheet[f'D{i}'] = m_rec \n", " sheet[f'E{i}'] = fl\n", " \n", "wb.save('data/低碳院邮件.xlsx') \n", " " ] }, { "cell_type": "markdown", "id": "bbf0b425-c0ce-4608-ae52-85a78ddcd6c0", "metadata": {}, "source": [ "## 批量更换扩展名" ] }, { "cell_type": "code", "execution_count": null, "id": "2c2bd1d1-4d84-4639-ba20-c97c218ae275", "metadata": { "tags": [] }, "outputs": [], "source": [ "import glob\n", "import os,shutil\n", "\n", "filepath = 'file/yimo/'\n", "old = 'SGF'\n", "new = 'sgf'\n", "files = glob.glob(f'{filepath}*.{old}')\n", "for f in files:\n", " new_file =os.path.splitext(f)[0]+'.'+new\n", " os.rename(f,new_file)" ] }, { "cell_type": "markdown", "id": "69712868-6786-430b-8591-f6828d781588", "metadata": {}, "source": [ "## PDF文件压缩" ] }, { "cell_type": "code", "execution_count": null, "id": "8492dc14-739e-4c78-a302-f4b57ae571dd", "metadata": {}, "outputs": [], "source": [ "import fitz\n", "import os\n", "\n", "\n", "def covert2pic(zoom):\n", " if os.path.exists('.pdf'): # 临时文件，需为空\n", " os.removedirs('.pdf')\n", " os.mkdir('.pdf')\n", " for pg in range(totaling):\n", " page = doc[pg]\n", " zoom = int(zoom) #值越大，分辨率越高，文件越清晰\n", " rotate = int(0)\n", " print(page)\n", " trans = fitz.Matrix(zoom / 100.0, zoom / 100.0).preRotate(rotate)\n", " pm = page.getPixmap(matrix=trans, alpha=False)\n", " \n", " lurl='.pdf/%s.jpg' % str(pg+1)\n", " pm.writePNG(lurl)\n", " doc.close()\n", "\n", "def pic2pdf(obj):\n", " doc = fitz.open()\n", " for pg in range(totaling):\n", " img = '.pdf/%s.jpg' % str(pg+1)\n", " imgdoc = fitz.open(img) # 打开图片\n", " pdfbytes = imgdoc.convertToPDF() # 使用图片创建单页的 PDF\n", " os.remove(img) \n", " imgpdf = fitz.open(\"pdf\", pdfbytes)\n", " doc.insertPDF(imgpdf) # 将当前页插入文档\n", " if os.path.exists(obj): # 若文件存在先删除\n", " os.remove(obj)\n", " doc.save(obj) # 保存pdf文件\n", " doc.close()\n", "\n", "\n", "def pdfz(sor, obj, zoom): \n", " covert2pic(zoom)\n", " pic2pdf(obj)\n", " \n", "\n", "\n", "sor = \"5.pdf\" # 需要压缩的PDF文件\n", "obj = \"new-\" + sor\n", "doc = fitz.open(sor) \n", "totaling = doc.pageCount\n", "\n", "zoom = 150 # 清晰度调节，缩放比率\n", "pdfz(sor, obj, zoom)\n", "os.removedirs('.pdf')\n" ] }, { "cell_type": "code", "execution_count": null, "id": "99fff4b6-73ea-4d53-96bc-41b6b664e00a", "metadata": { "tags": [] }, "outputs": [], "source": [ "import fitz\n", "import os\n", "\n", "sor = \"中华药膳全书学做药膳不生病.pdf\" # 需要压缩的PDF文件\n", "\n", "doc = fitz.open(sor) \n", "totaling = doc.pageCount\n", "\n", "zoom = 300 # 清晰度调节，缩放比率\n", "if os.path.exists('pdf_cp'): # 临时文件，需为空\n", " os.removedirs('pdf_cp')\n", "os.mkdir('pdf_cp')\n", "for pg in range(6,totaling):\n", " page = doc[pg]\n", " zoom = int(zoom) #值越大，分辨率越高，文件越清晰\n", " rotate = int(0)\n", " print(page)\n", " trans = fitz.Matrix(zoom / 100.0, zoom / 100.0).preRotate(rotate)\n", " pm = page.getPixmap(matrix=trans, alpha=False)\n", "\n", " lurl='pdf_cp/%s.jpg' % str(pg+1).rjust(3,\"0\")\n", " pm.writePNG(lurl)\n", "doc.close()\n" ] }, { "cell_type": "code", "execution_count": null, "id": "88d84849-5b98-48cb-86b1-e96757a8615f", "metadata": { "tags": [] }, "outputs": [], "source": [ "from pdf2image import convert_from_path, convert_from_bytes\n", "import os,sys\n", "import tempfile\n", "from pdf2image.exceptions import (\n", " PDFInfoNotInstalledError,\n", " PDFPageCountError,\n", " PDFSyntaxError\n", ")\n", "#images = convert_from_path('1.pdf',dpi=200,fmt='jpg', output_folder='./sample_data')\n", "with tempfile.TemporaryDirectory() as path:\n", " images_from_path = convert_from_path('中华药膳全书学做药膳不生病.pdf', dpi=300,fmt='jpg', output_folder='./pic')\n", "print(path)" ] }, { "cell_type": "code", "execution_count": null, "id": "058a40ba-4948-4675-8400-e4c762e836ee", "metadata": {}, "outputs": [], "source": [ "import img2pdf \n", "import os,sys\n", "import glob\n", "\n", "fl=glob.glob('./pic/*.jpg')\n", "fl.sort()\n", "a4inpt = (img2pdf.mm_to_pt(210),img2pdf.mm_to_pt(297))\n", "layout_fun = img2pdf.get_layout_fun(a4inpt)\n", "with open(\"name.pdf\",\"wb\") as f:\n", " f.write(img2pdf.convert(fl,layout_fun=layout_fun))" ] }, { "cell_type": "code", "execution_count": null, "id": "e997ad75-b2d9-43bf-a1de-8833cfe0cf6a", "metadata": {}, "outputs": [], "source": [ "import glob\n", "import fitz # 导入本模块需安装pymupdf库\n", "import os,sys\n", "\n", "def pic2pdf_1(img_path, pdf_path, pdf_name):\n", " doc = fitz.open()\n", " fl=os.listdir(img_path)\n", " fl.sort()\n", " width, height = fitz.PaperSize(\"a4\")\n", " for img in fl:\n", " fn = img_path+'/'+img\n", " if os.path.isfile(fn):\n", " imgdoc = fitz.open(img_path+'/'+img)\n", " pdfbytes = imgdoc.convertToPDF()\n", " imgpdf = fitz.open(\"pdf\", pdfbytes,width = width, height = height)\n", " doc.insertPDF(imgpdf)\n", " doc.save(pdf_path +'/'+ pdf_name)\n", " doc.close()\n", "\n", "img_path = os.getcwd() +'/pic'\n", "pdf_path = os.getcwd()\n", "pic2pdf_1(img_path=img_path, pdf_path=pdf_path, pdf_name='1.pdf')" ] }, { "cell_type": "markdown", "id": "1f38e4b6-ef20-4fef-801c-ff47951d2ad6", "metadata": {}, "source": [ "## 图片文件扫描识别" ] }, { "cell_type": "code", "execution_count": null, "id": "8c990b6a-7f8e-4527-a150-65f60bd131ac", "metadata": {}, "outputs": [], "source": [ "#将指定目录下图片文件进行文字识别\n", "import os,sys\n", "from aip import AipOcr\n", "import glob\n", "\n", "\"\"\" 你的 APPID AK SK \"\"\"\n", "APP_ID = '17553946'\n", "API_KEY = 'IMC1ss3Tyo3vEAdVH6jgcdv2'\n", "SECRET_KEY = 'Iua6KdhuDtz159rjzGeFGpqgjhnoU0zZ'\n", "\n", "client = AipOcr(APP_ID, API_KEY, SECRET_KEY)\n", "def get_file_content(filePath):\n", " with open(filePath, 'rb') as fp:\n", " return fp.read()\n", "\n", "options = {}\n", "options[\"language_type\"] = \"CHN_ENG\"\n", "options[\"detect_direction\"] = \"true\"\n", "options[\"detect_language\"] = \"true\"\n", "options[\"probability\"] = \"true\"\n", "\n", "fi_path = os.getcwd()+'/pic'\n", "fl = glob.glob(f'{fi_path}/*.jpg')\n", "fl.sort()\n", "for fl1 in fl:\n", " file_name = fl1\n", " image = get_file_content(file_name)\n", " result= client.basicGeneral(image, options)\n", " if 'words_result' in result:\n", " print('\\n'.join([w['words'] for w in result['words_result']]))\n", " print('\\n')\n", " \n", " " ] }, { "cell_type": "markdown", "id": "d936ca99-269b-46f8-8582-fb02ed2cd3cc", "metadata": {}, "source": [ "## word文档读取" ] }, { "cell_type": "code", "execution_count": null, "id": "d8043425-be9e-4e9e-bbfc-3a2d8885a860", "metadata": {}, "outputs": [], "source": [ "import docx\n", "import json\n", "Doc = docx.Document(r\"症状对症处方选穴.docx\")\n", "#print(\"檔案內含段落數：\",len(Doc.paragraphs),\"\\n\")\n", "testList = []\n", "text1 = []\n", "dict1 = {}\n", "for text in Doc.paragraphs:\n", " testList.append(text)\n", "i = 0\n", "for pg in testList:\n", " \n", " if len(pg.text) >0:\n", " s = ''.join(pg.text.split()) \n", " if s[0:1] == '第':\n", " i += 1\n", " n = 0\n", " \n", " dict1.setdefault(i,{})\n", " dict1[i]['title'] = pg.text.split()[1]\n", " dict1[i]['sub'] = {}\n", " \n", " #dict1[i]['title'].setdefault(i,{})\n", " elif s[0:1] == '（':\n", " sub = s.split('）')[1]\n", " dict2 = {}\n", " dict1[i]['sub'].setdefault(sub,[])\n", " else:\n", " dict1[i]['sub'][sub].append(s)\n", "filename = '症状对症处方选穴.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl,ensure_ascii=False) \n", "print('ok') " ] }, { "cell_type": "code", "execution_count": null, "id": "c440b599-9c80-4072-8543-d9c381214f1d", "metadata": {}, "outputs": [], "source": [ "import docx\n", "import json\n", "Doc = docx.Document(r\"常见疾病辨病处方选穴.docx\")\n", "#print(\"檔案內含段落數：\",len(Doc.paragraphs),\"\\n\")\n", "testList = []\n", "text1 = []\n", "dict1 = {}\n", "for text in Doc.paragraphs:\n", " testList.append(text)\n", "i = 0\n", "for pg in testList:\n", " \n", " if len(pg.text) >0:\n", " s = ''.join(pg.text.split()) \n", " if s[0:1] == '第':\n", " i += 1\n", " n = 0\n", " \n", " dict1.setdefault(i,{})\n", " dict1[i]['title'] = pg.text.split('节')[1]\n", " dict1[i]['sub'] = {}\n", " \n", " #dict1[i]['title'].setdefault(i,{})\n", " elif s[0:1] == '（':\n", " sub = s.split('）')[1]\n", " dict2 = {}\n", " dict1[i]['sub'].setdefault(sub,[])\n", " else:\n", " dict1[i]['sub'][sub].append(s)\n", "filename = '常见疾病辨病处方选穴.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl,ensure_ascii=False)\n", "print('ok') " ] }, { "cell_type": "code", "execution_count": null, "id": "b5e500b5-14d4-4417-8b5e-46df71a6b6b8", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import re\n", "filename = 'file/ticemuban.json'\n", "\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "print(dict1)\n", " " ] }, { "cell_type": "markdown", "id": "24d3fdb2-65ac-4a2b-b65a-f64a01a3fdf5", "metadata": {}, "source": [ "## word使用模板生成文档" ] }, { "cell_type": "code", "execution_count": null, "id": "9957a90c-7735-4224-b5b5-4a4b1b7688c9", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "from docxtpl import DocxTemplate,InlineImage\n", "\n", "list1 = []\n", "filename = 'file/ticemuban.json'\n", "tpl = DocxTemplate(\"file/体测报告模板.docx\")\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "dict1['img_radar'] = InlineImage(tpl, image_descriptor=dict1['radar'])\n", "list1.append(dict1)\n", "\n", "context['info'] = list1\n", "\n", "tpl.render(dict1)tpl.save('file/test1.docx')" ] }, { "cell_type": "code", "execution_count": null, "id": "42122edc-eb77-4cfc-bcd8-3f844ffcca58", "metadata": { "tags": [] }, "outputs": [], "source": [ "from subprocess import Popen\n", "\n", "file = 'file/test1.docx'\n", "Popen(['abiword', '-t', 'pdf', fi le]).communicate()\n", "print('转换完成')" ] }, { "cell_type": "markdown", "id": "d2569395-1010-4cc0-8cc8-54bf3c73e01c", "metadata": {}, "source": [ "### word使用模板生成钥匙扣标签" ] }, { "cell_type": "code", "execution_count": 40, "id": "d05d85d2-5229-446e-bfff-1f0feb8b7f09", "metadata": { "execution": { "iopub.execute_input": "2023-04-10T10:04:32.991821Z", "iopub.status.busy": "2023-04-10T10:04:32.991387Z", "iopub.status.idle": "2023-04-10T10:04:34.154437Z", "shell.execute_reply": "2023-04-10T10:04:34.153707Z", "shell.execute_reply.started": "2023-04-10T10:04:32.991783Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "13\n" ] } ], "source": [ "import openpyxl\n", "from docxtpl import DocxTemplate,InlineImage\n", "\n", "wb = openpyxl.load_workbook('file/杨庙社区分组情况表 .xlsx')\n", "sheet = wb.active\n", "sheet = wb.active\n", "data1 =list(sheet.values)\n", "\n", "del data1[0]\n", "page = len(data1)//30\n", "print(page)\n", "dict1 = {}\n", "tpl = DocxTemplate(\"file/钥匙扣模板.docx\")\n", "for p in range(0,page): \n", " n = 0\n", " for i in range(1,7):\n", " for j in range(1,6):\n", " dict1[f'name_{i}_{j}'] = data1[30*p+n][3]\n", " dict1[f'fenzu_{i}_{j}'] = data1[30*p+n][1]+'组'\n", " dict1[f'bh_{i}_{j}'] = data1[30*p+n][2]\n", " n = n+1\n", " #print(dict1)\n", " tpl.render(dict1)\n", " tpl.save(f'file/钥匙扣{p+1}.docx') \n", "dict2 = {}\n", "n =390\n", "while n < 395:\n", " for i in range(1,7):\n", " for j in range(1,6):\n", " if n < 395:\n", " dict2[f'name_{i}_{j}'] = data1[n][3]\n", " dict2[f'fenzu_{i}_{j}'] = data1[n][1]+'组'\n", " dict2[f'bh_{i}_{j}'] = data1[n][2]\n", " else:\n", " dict2[f'name_{i}_{j}'] = ''\n", " dict2[f'fenzu_{i}_{j}'] = ''\n", " dict2[f'bh_{i}_{j}'] = ''\n", " n = n+1\n", "\n", "tpl.render(dict2)\n", "tpl.save(f'file/钥匙扣{page+1}.docx') \n", " \n" ] }, { "cell_type": "markdown", "id": "8a555d4f-8b2c-4f2c-af7e-fe8dfbd33f5f", "metadata": {}, "source": [ "## PDF文件读取" ] }, { "cell_type": "markdown", "id": "308511e7-0f2d-40bc-a151-68f26ee635a2", "metadata": {}, "source": [ "### pdfminer读取PDF文件" ] }, { "cell_type": "code", "execution_count": null, "id": "0b0d621c-f2be-4dcb-a1f0-4b16196d25ee", "metadata": { "tags": [] }, "outputs": [], "source": [ "from newpdfminer.pdfparser import PDFParser, PDFDocument\n", "from newpdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter\n", "from newpdfminer.converter import PDFPageAggregator\n", "from newpdfminer.layout import LAParams, LTTextBox\n", "from newpdfminer.pdfinterp import PDFTextExtractionNotAllowed\n", "\n", "path = \"file/211027/114.pdf\"\n", "\n", "# 用文件对象来创建一个pdf文档分析器\n", "praser = PDFParser(open(path, 'rb'))\n", "# 创建一个PDF文档\n", "doc = PDFDocument()\n", "# 连接分析器 与文档对象\n", "praser.set_document(doc)\n", "doc.set_parser(praser)\n", "\n", "# 提供初始化密码\n", "# 如果没有密码 就创建一个空的字符串\n", "doc.initialize()\n", "\n", "# 检测文档是否提供txt转换，不提供就忽略\n", "if not doc.is_extractable:\n", " raise PDFTextExtractionNotAllowed\n", "else:\n", " # 创建PDf 资源管理器 来管理共享资源\n", " rsrcmgr = PDFResourceManager()\n", " # 创建一个PDF设备对象\n", " laparams = LAParams()\n", " device = PDFPageAggregator(rsrcmgr, laparams=laparams)\n", " # 创建一个PDF解释器对象\n", " interpreter = PDFPageInterpreter(rsrcmgr, device)\n", "\n", " # 循环遍历列表，每次处理一个page的内容\n", " for page in doc.get_pages():\n", " interpreter.process_page(page) \n", " # 接受该页面的LTPage对象\n", " layout = device.get_result()\n", " # 这里layout是一个LTPage对象，里面存放着这个 page 解析出的各种对象\n", " # 包括 LTTextBox, LTFigure, LTImage, LTTextBoxHorizontal 等 \n", " for x in layout:\n", " if isinstance(x, LTTextBox):\n", " print(x.get_text().strip())" ] }, { "cell_type": "markdown", "id": "8fff7f1e-b52c-4666-8a2c-e9cde85a8e01", "metadata": {}, "source": [ "### pdfplumber读取PDF文件" ] }, { "cell_type": "code", "execution_count": null, "id": "c8685b70-55b3-439e-852d-c4fbb67b6326", "metadata": {}, "outputs": [], "source": [ "import pdfplumber\n", "from PIL import Image\n", "\n", "# 读取 PDF 文档\n", "pdf = pdfplumber.open(\"5.pdf\")\n", "\n", "# 获取页数\n", "print(\"总页数：\",len(pdf.pages))\n", "print(\"-----------------------------------------\")\n", "\n", "# 读取第 4 页；索引从 1 开始\n", "page = pdf.pages[0] \n", "print(\"本页：\",page.page_number + 1)\n", "print(\"-----------------------------------------\")\n", "# 单页文件存储为图片\n", "#im = page.to_image()\n", "#im.save('./5_1.png', format='PNG')\n", "# 单页文件中原始图片读取，不能读取图表文件\n", "#imgs = page.images\n", "#for i, img in enumerate(imgs):\n", "# size = img['width'], img['height']\n", "# data = img['stream'].get_data()\n", "# out_path = f'003pdf_images_{i}.png'\n", "# with open(out_path, 'wb') as fimg_out:\n", "# fimg_out.write(data)\n", "# 导出第 4 页文本\n", "text = page.extract_text()\n", "print(text)\n" ] }, { "cell_type": "markdown", "id": "59e8775b-e2d6-4963-9376-4a944108ec58", "metadata": {}, "source": [ "### fitz1.8读取PDF文件中的图片" ] }, { "cell_type": "code", "execution_count": null, "id": "5ff3d5dd-b8dd-4707-8e29-26ba6cf97070", "metadata": { "tags": [] }, "outputs": [], "source": [ "import fitz\n", "import re\n", "import os\n", "\n", "file_path = '5.pdf' # PDF 文件路径\n", "dir_path = './data' # 存放图片的文件夹\n", "\n", "def pdf2image1(path, pic_path):\n", " checkIM = r\"/Subtype(?= */Image)\"\n", " pdf = fitz.open(path)\n", " lenXREF = pdf.xref_length()\n", " count = 1\n", " for i in range(1, lenXREF):\n", " text = pdf.xref_object(i)\n", " isImage = re.search(checkIM, text)\n", " if not isImage:\n", " continue\n", " pix = fitz.Pixmap(pdf, i)\n", " new_name = f\"img_{count}.png\"\n", " pix.writePNG(os.path.join(pic_path, new_name))\n", " count += 1\n", " pix = None\n", "\n", "pdf2image1(file_path, dir_path)" ] }, { "cell_type": "markdown", "id": "7e86692e-43fe-4aaa-a72f-2fe25fc3597e", "metadata": {}, "source": [ "### Pdf文件拆分" ] }, { "cell_type": "code", "execution_count": null, "id": "c4931fc0-7f0b-4f78-8c8f-151dce930a6b", "metadata": { "tags": [] }, "outputs": [], "source": [ "import os, sys\n", "from PyPDF2 import PdfFileWriter, PdfFileReader, PdfFileMerger\n", "\n", "file = \"file/211027/114.pdf\"\n", "pdf_reader = PdfFileReader(file)\n", "n = pdf_reader.numPages\n", "print(n)\n", "pdfWriter = PdfFileWriter()\n", "pageObj = pdf_reader.getPage(n-2)\n", "pageObj.scaleBy(1)\n", "pdfWriter.addPage(pageObj)\n", "with open('split_114.pdf', 'wb') as pdfOutputFile:\n", " pdfWriter.write(pdfOutputFile)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "2382429a-7b73-42bc-bef6-67a0b69a449d", "metadata": { "tags": [] }, "outputs": [], "source": [ "import fitz\n", "import os\n", "\n", "file = \"file/211027/114.pdf\"\n", "doc = fitz.open(file)\n", "n = doc.page_count\n", "print(n)\n", "doc2 = fitz.open()\n", "page = doc[n - 2]\n", "#doc2.insert_pdf(doc, to_page = n-2) # first 10 pages\n", "doc2.insert_pdf(doc, from_page = n-2,to_page = n-2)\n", "#print(type(page))\n", "#doc2.insert_pdf(page) # last 10 pages\n", "doc2.save(\"first-and-last-10.pdf\")\n" ] }, { "cell_type": "markdown", "id": "917dfa96-aaea-4c40-8b89-0fe093c65c33", "metadata": {}, "source": [ "## PDF文件读取表格" ] }, { "cell_type": "code", "execution_count": null, "id": "2f9f474d-265c-4beb-bd0e-53372ae9e57e", "metadata": { "tags": [] }, "outputs": [], "source": [ "import pdfplumber\n", "import json\n", "import re\n", "\n", "file = \"file/1_中石化北海炼化2020年团体体检报告.pdf\"\n", "pdf = pdfplumber.open(file)\n", "list1 = []\n", "dict1 = {}\n", "n = 1\n", "for page in pdf.pages:\n", " # print(page.extract_text())\n", " \n", " \n", " for pdf_table in page.extract_tables():\n", " list2 = []\n", " table = []\n", " cells = []\n", " for row in pdf_table:\n", " if not any(row):\n", " # 如果一行全为空，则视为一条记录结束\n", " if any(cells):\n", " table.append(cells)\n", " cells = []\n", " elif all(row):\n", " # 如果一行全不为空，则本条为新行，上一条结束\n", " if any(cells):\n", " table.append(cells)\n", " cells = []\n", " table.append(row)\n", " else:\n", " if len(cells) == 0:\n", " cells = row\n", " else:\n", " for i in range(len(row)):\n", " if row[i] is not None and not cells[i]:\n", " cells[i] = row[i]\n", " elif row[i] is not None and cells[i]: \n", " table.append(cells)\n", " cells = row\n", " #cells[i] = row[i]\n", " break\n", " elif row[i] is None and cells[i]:\n", " continue\n", " elif row[i] is None and not cells[i]:\n", " #cells[i] = row[i]\n", " continue \n", " # cells[i] = row[i] if cells[i] is None else cells[i] + row[i]\n", " \n", " list2 = [] \n", " for row in table:\n", " data =[re.sub('\\s+', '', cell) if cell is not None else None for cell in row]\n", " print(data)\n", " \n", " #print(json.dumps(data_list, indent=2, ensure_ascii=False))\n", " #with open('Test1.json','a',encoding=\"utf-8\") as file: # json文件的存放位置\n", " # json.dump(data_list, file, ensure_ascii=False)\n", " list2.append(data)\n", " if len(list2) > 0:\n", " dict1[n] = list2\n", " #print(dict1)\n", " #list1.append(list2)\n", " n +=1\n", "with open('Test1.json','w',encoding=\"utf-8\") as file:\n", " json.dump(dict1, file, ensure_ascii=False)\n", " \n", "pdf.close()" ] }, { "cell_type": "code", "execution_count": null, "id": "71e1da77-6744-4d86-a4bc-88feeb3023e8", "metadata": { "tags": [] }, "outputs": [], "source": [ "import pdfplumber\n", "import json\n", "import re\n", "\n", "file = \"file/1_中石化北海炼化2020年团体体检报告.pdf\"\n", "pdf = pdfplumber.open(file)\n", "list1 = []\n", "dict1 = {}\n", "n = 1\n", "for page in pdf.pages:\n", " for pdf_table in page.extract_tables():\n", " list2 = []\n", " table = []\n", " cells = []\n", " for row in pdf_table:\n", " print(row)\n", " print('******')\n", " print('--------')\n", " " ] }, { "cell_type": "code", "execution_count": null, "id": "b0764366-12cf-4880-8e0f-9ae18b46d392", "metadata": { "tags": [] }, "outputs": [], "source": [ "import camelot\n", "import json\n", "import re\n", "\n", "file = \"file/1_中石化北海炼化2020年团体体检报告.pdf\"\n", "tables = camelot.read_pdf(file, pages='3',flavor='stream')\n", "# 2.导出pdf所有的表格为csv文件\n", "tables.export('foo.json', f='json')\n", "print('ok!')" ] }, { "cell_type": "code", "execution_count": null, "id": "04dd6436-8374-4096-a2a3-d79f4d93a360", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.6" } }, "nbformat": 4, "nbformat_minor": 5 }