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# -*- coding: utf-8 -*-
import random
import hashlib
import sys
import importlib
importlib.reload(sys)
import time
from pdfminer.pdfparser import PDFParser,PDFDocument
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import PDFPageAggregator
from 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 + '&salt=' + str(salt) + '&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("rn>> 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('n', ''))
# 保存文本内容
with open(textName, 'a+', encoding='utf8') as f:
results = x.get_text()
f.write(results.replace('n', '') + 'n')
print('对象数量：n','页面数：%sn'%num_page,'图片数：%sn'%num_image,'曲线数：%sn'%num_curve,'水平文本框：%sn'
%num_TextBoxHorizontal)
import os
if __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 + 'n')
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。
