哪个网站系统做的好seo分析

一、前言

此方法只能转文本格式的pdf，如果是图片格式的pdf需要用到ocr包，以后如果有这方面需求再加这个方法

二、实现方法

1. 目录结构

2. 代码

pdf2txt.py 代码如下

#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import osfrom pdfminer.pdfparser import PDFParser
from pdfminer.pdfdocument import PDFDocument
from pdfminer.pdfpage import PDFPage, PDFTextExtractionNotAllowed
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import PDFPageAggregator
from pdfminer.layout import LAParamsdef batch_process(src_dir, tgt_dir):'''批处理:return:'''for pdf_name in os.listdir(src_dir):pdf_path = os.path.join(src_dir, pdf_name)text_path = os.path.join(tgt_dir, f'{os.path.splitext(pdf_name)[0]}.txt')json_path = os.path.join(tgt_dir, f'{os.path.splitext(pdf_name)[0]}.json')pdf_utils = PDFUtils()pdf_list = pdf_utils.pdf2list(pdf_path)# pdf2txtwith open(text_path, mode='w', encoding='utf-8') as f:f.write(''.join([''.join(page) for page in pdf_list]))# pdf2jsonwith open(json_path, mode='w', encoding='utf-8') as f:f.write(json.dumps(pdf_list, ensure_ascii=False))class PDFUtils():def __init__(self):passdef pdf2list(self, path):pdf_list = []   # 二维数组，一维放页，二维放行with open(path, 'rb') as f:praser = PDFParser(f)doc = PDFDocument(praser)if not doc.is_extractable:raise PDFTextExtractionNotAllowedpdfrm = PDFResourceManager()laparams = LAParams()device = PDFPageAggregator(pdfrm, laparams=laparams)interpreter = PDFPageInterpreter(pdfrm, device)for page_idx, page in enumerate(PDFPage.create_pages(doc)):line_list = []   # 保存每行数据# print(page_idx)interpreter.process_page(page)layout = device.get_result()for line_idx, line in enumerate(layout):# print(line_idx)if hasattr(line, "get_text"):content = line.get_text()# print(content)# output = StringIO()# output.write(content)# content = output.getvalue()# output.close()# print(content)if content and content.replace(' ', '') != '\n':line_list.append(content)# print(content)pdf_list.append(line_list)# output.close()return pdf_listif __name__ == '__main__':# pdf目录src_dir = './pdf'# 生成的txt和json文件的保存目录tgt_dir = './text_and_json'# 批量转换batch_process(src_dir, tgt_dir)