ca4240cb19
The code now relies on text tokens instead of the HTML structure, which varies too much from one region to another.
49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright(C) 2010-2012 Romain Bignon
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#
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# This file is part of weboob.
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#
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# weboob is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# weboob is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with weboob. If not, see <http://www.gnu.org/licenses/>.
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import re
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from lxml import html
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class TokenExtractor:
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""" Extracts texts token from an HTML document """
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iterated_elements = []
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def element_iterated_already(self, html_element):
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if html_element in self.iterated_elements:
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return True
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for ancestor in html_element.iterancestors():
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if ancestor in self.iterated_elements:
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return True
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return False
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def extract_tokens(self, html_element):
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if self.element_iterated_already(html_element):
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return
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self.iterated_elements.append(html_element)
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for text in html_element.itertext():
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text = text.replace(u'\xa0', ' ')
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text = text.replace("\n", ' ')
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for token in self.split_text_into_smaller_tokens(text):
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if self.token_looks_relevant(token):
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yield token.strip()
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@staticmethod
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def split_text_into_smaller_tokens(text):
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for subtext1 in text.split('\t'):
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yield subtext1
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@staticmethod
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def token_looks_relevant(token):
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return len(token.strip()) > 1
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