def get_similar_word_array(self, tag):
formatted_word = db_tools.wordnet_formatted(tag)
# pprint_object(formatted_word)
alternative_words = db_tools.list_wordnet_links(formatted_word[1]['synset'])
# pprint_object(alternative_words)
word_list = []
for word in alternative_words:
word_list.append(word[0])
# self.pprint_object(word_list)
return word_list
def alt_tags(tag_text, image, user):
tag_synset = None
if len(tag_text) == 1:
return
synsets = catch_edge_cases(tag_text)
if synsets is None:
stem = wn.morphy(tag_text.lower())
if stem is not None:
tag_text = stem
synsets = db_tools.wordnet_formatted(tag_text)
print tag_text
for synset in synsets:
if synset['label'] == tag_text.lower() and synset['sensenum'] == 1 and '.n.' in synset['synset']:
print pprint.pformat(synset)
tag_synset = synset['synset']
else:
if len(synsets) > 0:
tag_synset = synsets[0]['synset']
if tag_synset is not None:
alternative_words = db_tools.list_wordnet_links(tag_synset)[::-1]
for index, weighted_word in enumerate(alternative_words):
word = weighted_word[0]
print word
tag_order = str((int(clean(str(0), strip=True)) + 1) * 100)
tag_hyp_dist = int(weighted_word[1][0]) + 1
tag_syn_val = int(weighted_word[1][1]) + 1
tag_order += str(tag_hyp_dist * 100) + str(tag_syn_val * 100)
print tag_order
write_tag(word, image, user, tag_order=tag_order)
