pdf转json_Python读取PDF文档并翻译

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# -*- coding: utf-8 -*- import randomimport hashlibimport sysimport importlibimportlib.reload(sys)import timefrom pdfminer.pdfparser import PDFParser,PDFDocumentfrom pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreterfrom pdfminer.converter import PDFPageAggregatorfrom pdfminer.layout import *from pdfminer.pdfinterp import PDFTextExtractionNotAllowed  #**********翻译部分********************def fanyi(query):    import http.client    import hashlib    import urllib    import random    import json    appid = ''  # !!!!补充    secretKey = ''  # !!!!补充    httpClient = None    myurl = '/api/trans/vip/translate'    q = query    fromLang = 'auto'    toLang = 'zh'    salt = random.randint(32768, 65536)     sign = appid + q + str(salt) + secretKey    m1 = hashlib.md5()    m1.update(sign.encode())    sign = m1.hexdigest()    myurl = myurl + '?appid=' + appid + '&q=' + urllib.parse.quote(        q) + '&from=' + fromLang + '&to=' + toLang + '&s&sign=' + sign    # print(urllib.parse.quote(q))    try:        httpClient = http.client.HTTPConnection('api.fanyi.baidu.com')        httpClient.request('GET', myurl)        # response是HTTPResponse对象        response = httpClient.getresponse()        html = response.read()  # bytes        # print("html:  ",type(html),html)        html_str = html.decode()  # bytes to str        # print("html_str:  ",type(html_str),html_str)        html_dict = json.loads(html_str)  # str to dict        # print("html_dist:  ",type(html_dict),html_str)        # result_ori = html_dict["trans_result"][0]["src"]        # result_tar = html_dict["trans_result"][0]["dst"]        # print(html_dict["trans_result"])        result_tar = ''        for i in html_dict["trans_result"]:            result_tar += i["dst"]        # print(result_ori, " --> ", result_tar)        print("翻译文本: " + result_tar)        print("*" * 100)        return result_tar    except Exception as e:        print(e)        return ''    finally:        if httpClient:            httpClient.close()  '''解析pdf文件，获取文件中包含的各种对象''' # 解析pdf文件函数def parse(pdf_path):    textName = pdf_path.split('')[-1].split('.')[0] + '.txt'    fp = open(pdf_path, 'rb')  # 以二进制读模式打开    # 用文件对象来创建一个pdf文档分析器    parser = PDFParser(fp)    # 创建一个PDF文档    doc = PDFDocument()    # 连接分析器 与文档对象    parser.set_document(doc)    doc.set_parser(parser)     # 提供初始化密码    # 如果没有密码 就创建一个空的字符串    doc.initialize()     # 检测文档是否提供txt转换，不提供就忽略    if not doc.is_extractable:        raise PDFTextExtractionNotAllowed    else:        # 创建PDf 资源管理器 来管理共享资源        rsrcmgr = PDFResourceManager()        # 创建一个PDF设备对象        laparams = LAParams()        device = PDFPageAggregator(rsrcmgr, laparams=laparams)        # 创建一个PDF解释器对象        interpreter = PDFPageInterpreter(rsrcmgr, device)         # 用来计数页面，图片，曲线，figure，水平文本框等对象的数量        num_page, num_image, num_curve, num_figure, num_TextBoxHorizontal = 0, 0, 0, 0, 0         # 循环遍历列表，每次处理一个page的内容        for page in doc.get_pages(): # doc.get_pages() 获取page列表            num_page += 1  # 页面增一            print(">> 当前页：", num_page)            interpreter.process_page(page)            # 接受该页面的LTPage对象            layout = device.get_result()            for x in layout:                if isinstance(x,LTImage):  # 图片对象                    num_image += 1                if isinstance(x,LTCurve):  # 曲线对象                    num_curve += 1                if isinstance(x,LTFigure):  # figure对象                    num_figure += 1                if isinstance(x, LTTextBoxHorizontal):  # 获取文本内容                    num_TextBoxHorizontal += 1  # 水平文本框对象增一                    results = x.get_text()                    print(results.replace('', ''))                    # 保存文本内容                    with open(textName, 'a+', encoding='utf8') as f:                        results = x.get_text()                        f.write(results.replace('', '') + '')        print('对象数量：','页面数：%s'%num_page,'图片数：%s'%num_image,'曲线数：%s'%num_curve,'水平文本框：%s'              %num_TextBoxHorizontal) import osif __name__ == '__main__':    pdf_path = r'A Survey on Network Methodologies for.pdf'    rootPath = ''.join(pdf_path.split('')[:-1]) if "" in pdf_path else ''    textName = pdf_path.split('')[-1].split('.')[0] + '.txt'    print(">> 当前文件：", os.path.join(rootPath, textName))    if os.path.exists(os.path.join(rootPath, textName)):        print(">> 删除：", textName)        os.remove(os.path.join(rootPath, textName))    if os.path.exists(os.path.join(rootPath, "translate.txt")):        print(">> 删除：", "translate.txt")        os.remove(os.path.join(rootPath, "translate.txt"))     parse(pdf_path)     with open(textName, 'r', encoding='utf8') as f:        content = f.read()        results = content.split('.')        for i in results:            res = fanyi(i)            with open("translate.txt", 'a+', encoding='utf8') as fp:                fp.write(res + '')            time.sleep(1)

运行中：

pdf转txt：

翻译：

pdf转文字问题、分句问题，翻译结果可能不准，仅供参考。