115 lines
4.4 KiB
Python
115 lines
4.4 KiB
Python
#-*- coding:utf-8 -*-
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import os
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import re
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import random
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from ..base import *
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# from BeautifulSoup import BeautifulSoup
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# from bs4 import BeautifulSoup
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VOICE_PATTERN = r'href="sound:\/\/([\w\/]+%s\/\w*\.mp3)"'
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VOICE_PATTERN_WQ = r'<span class="%s"><a href="sound://([\w/]+\w*\.mp3)">(.*?)</span %s>'
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MAPPINGS = [
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['br', [re.compile(VOICE_PATTERN % r'breProns')]],
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['us', [re.compile(VOICE_PATTERN % r'ameProns')]]
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]
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LANG_TO_REGEXPS = {lang: regexps for lang, regexps in MAPPINGS}
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DICT_PATH = u'/Users/brian/Documents/LDOCE5++ V 2-15/LDOCE5++ V 2-15.mdx' # u'E:\\BaiduYunDownload\\mdx\\L6mp3.mdx'
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@register([u'本地词典-LDOCE5++', u'MDX-LDOCE5++'])
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class Ldoce5plus(MdxService):
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def __init__(self):
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dict_path = DICT_PATH
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# if DICT_PATH is a path, stop auto detect
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if not dict_path:
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from ...service import service_manager, service_pool
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for clazz in service_manager.mdx_services:
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service = service_pool.get(clazz.__unique__)
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title = service.builder._title if service and service.support else u''
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service_pool.put(service)
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if title.startswith(u'LDOCE5++'):
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dict_path = service.dict_path
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break
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super(Ldoce5plus, self).__init__(dict_path)
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@property
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def title(self):
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return getattr(self, '__register_label__', self.unique)
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def _fld_voice(self, html, voice):
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"""获取发音字段"""
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for regexp in LANG_TO_REGEXPS[voice]:
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match = regexp.search(html)
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if match:
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val = '/' + match.group(1)
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name = get_hex_name('mdx-'+self.unique.lower(), val, 'mp3')
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name = self.save_file(val, name)
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if name:
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return self.get_anki_label(name, 'audio')
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return ''
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@export('BRE_PRON')
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def fld_voicebre(self):
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return self._fld_voice(self.get_html(), 'br')
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@export('AME_PRON')
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def fld_voiceame(self):
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return self._fld_voice(self.get_html(), 'us')
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@export('All examples with audios')
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def fld_sentence_audio(self):
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return self._range_sentence_audio([i for i in range(0, 100)])
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@export('Random example with audio')
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def fld_random_sentence_audio(self):
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return self._range_sentence_audio()
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@export('First example with audio')
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def fld_first1_sentence_audio(self):
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return self._range_sentence_audio([0])
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@export('First 2 examples with audios')
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def fld_first2_sentence_audio(self):
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return self._range_sentence_audio([0, 1])
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def _fld_audio(self, audio):
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name = get_hex_name('mdx-'+self.unique.lower(), audio, 'mp3')
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name = self.save_file(audio, name)
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if name:
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return self.get_anki_label(name, 'audio')
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return ''
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def _range_sentence_audio(self, range_arr=None):
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m = re.findall(r'<div class="EXAMPLE">\s*.*>\s*.*<\/div>', self.get_html())
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if m:
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soup = parse_html(m[0])
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el_list = soup.findAll('div', {'class':'EXAMPLE'})
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if el_list:
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maps = []
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for element in el_list:
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i_str = ''
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for content in element.contents:
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i_str = i_str + str(content)
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sound = re.search(r'<a[^>]+?href=\"sound\:\/(.*?\.mp3)\".*<\/a>', i_str)
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if sound:
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maps.append([sound, i_str])
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my_str = ''
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range_arr = range_arr if range_arr else [random.randrange(0, len(maps) - 1, 1)]
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for i, e in enumerate(maps):
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if i in range_arr:
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i_str = e[1]
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sound = e[0]
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mp3 = self._fld_audio(sound.groups()[0])
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i_str = re.sub(r'<a[^>]+?href=\"sound\:\/.*?\.mp3\".*<\/a>', '', i_str).strip()
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# chinese text
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cn_text = re.search(r'<div class="cn_txt">(\s*\S*)<\/div><\/span>', i_str)
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cn_text_strip = " "
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if cn_text:
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cn_text_strip = cn_text.groups()[0]
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i_str = re.sub(r'(<div class="cn_txt">\s*\S*<\/div>)<\/span>', '', i_str).strip()
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my_str = my_str + mp3 + ' ' + i_str + cn_text_strip + '<br>'
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return my_str
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return ''
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