mirror of
https://github.com/searxng/searxng
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61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
from HTMLParser import HTMLParser
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#import htmlentitydefs
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import csv
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import codecs
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import cStringIO
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class HTMLTextExtractor(HTMLParser):
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def __init__(self):
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HTMLParser.__init__(self)
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self.result = [ ]
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def handle_data(self, d):
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self.result.append(d)
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def handle_charref(self, number):
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codepoint = int(number[1:], 16) if number[0] in (u'x', u'X') else int(number)
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self.result.append(unichr(codepoint))
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def handle_entityref(self, name):
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#codepoint = htmlentitydefs.name2codepoint[name]
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#self.result.append(unichr(codepoint))
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self.result.append(name)
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def get_text(self):
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return u''.join(self.result)
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def html_to_text(html):
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s = HTMLTextExtractor()
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s.feed(html)
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return s.get_text()
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class UnicodeWriter:
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"""
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A CSV writer which will write rows to CSV file "f",
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which is encoded in the given encoding.
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"""
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def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
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# Redirect output to a queue
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self.queue = cStringIO.StringIO()
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self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
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self.stream = f
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self.encoder = codecs.getincrementalencoder(encoding)()
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def writerow(self, row):
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self.writer.writerow([(s.encode("utf-8").strip() if type(s) == str or type(s) == unicode else str(s)) for s in row])
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# Fetch UTF-8 output from the queue ...
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data = self.queue.getvalue()
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data = data.decode("utf-8")
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# ... and reencode it into the target encoding
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data = self.encoder.encode(data)
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# write to the target stream
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self.stream.write(data)
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# empty queue
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self.queue.truncate(0)
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def writerows(self, rows):
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for row in rows:
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self.writerow(row)
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