def main():
op = OptionParser()
op.add_option('--file', '-f')
options, arguments = op.parse_args()
# get it from some file, sometimes the xml
# is too long for the args and i'm tired of
# quoting things.
if not options.file:
op.error('No xml file')
exclude_tags = ['schemaLocation', 'noNamespaceSchemaLocation']
with open(options.file, 'r') as f:
xml_as_string = f.read()
bp = BagParser(xml_as_string.encode('utf-8'), True, False)
if bp.parser.xml is None:
sys.stderr.write('Failed xml parse')
sys.exit(1)
stripped_text = [b[1].split() for b in bp.strip_text(exclude_tags) if b[1]]
stripped_text = list(chain.from_iterable(stripped_text))
cleaned_text = [clean(s) for s in stripped_text]
bow = strip_identifiers(' '.join([c for c in cleaned_text if c]))
print ' '.join([b.encode('utf-8') for b in bow if b]).replace("'", "\'")
def _parse(self):
try:
parser = BagParser(self.source_xml_as_str, True, False)
except Exception as ex:
print ex
raise ex
if not parser or parser.parser.xml is None:
raise Exception('failed to parse')
for tag, txt in parser.strip_text():
# if it's from a tag we know we nee to exclude
if any(t in tag for t in self.tag_excludes):
continue
if not txt.strip():
continue
# do not split if it comes form an identifier field
self.texts += (
(tag, t) for t in txt.split()
) if not any(r[1] in tag for r in _rule_set) else [(tag, txt)]
# get some responses
responses = session.query(Response).filter(
and_(*clauses)).limit(LIMIT).offset(i).all()
print 'processing', i, len(responses)
for response in responses:
cleaned_content = response.cleaned_content
# omg. skip the big ones for regex hangs?
if len(cleaned_content.encode('utf-8')) / 1048576.0 > 1.:
print 'SKIPPING big file', response.id
continue
# strip the html cruft but ignore the a tags
bp = BagParser(cleaned_content.encode('utf-8'), True, False)
if bp.parser.xml is None:
print 'NOT XML: ', cleaned_content[:100]
continue
# we don't care about the fully qualified namespace here
stripped_text = [b[1].split() for b in bp.strip_text(exclude_tags) if b[1]]
stripped_text = list(chain.from_iterable(stripped_text))
cleaned_text = [s for s in stripped_text if clean(s)]
bow = strip_identifiers(' '.join(cleaned_text))
bag = BagOfWords(
generated_on=datetime.now().isoformat(),
bag_of_words=bow,
method="basic",
response_id=response.id