class Seeds:
def __init__(self):
self.dic_seeds = {}
self.accents = Accents()
self.__buildDic__()
def __buildDic__(self):
try:
file_seeds = codecs.open('seeds.txt', 'r', 'utf-8')
except IOError:
print 'ERROR: System cannot open the seeds.txt file'
sys.exit()
for line in file_seeds:
if line != '':
line = line.replace('\n','')
line = self.accents.buildCodes(line)
self.dic_seeds[line] = line
file_seeds.close()
def getQtySeeds(self):
return len(self.dic_seeds)
def getSeeds(self):
return sorted(self.dic_seeds.keys())
def printSeeds(self):
print self.dic_seeds
def printQtySeeds(self):
print len(self.dic_seeds)
def __buildStatisticalCorpus__(self):
try:
root, dirs, files = os.walk(self.corpus_folder).next()[:3]
except:
print 'ERROR: It was not possible to open the ../Data/Corpus/Raw/ folder'
sys.exit()
accents = Accents()
for corpus_file in files:
if re.match('.*xml$', corpus_file):
corpus_filename = corpus_file.split('.')[0]
xmlfile = ParseXml(root+''+corpus_file)
dic_terms = xmlfile.getDicTerms()
dic_nouns = xmlfile.getNouns()
dic_verbs = xmlfile.getVerbs()
id_sentence = 1
id_word = 1
id_t = 's'+str(id_sentence)+'_'+str(id_word)
string_full = ''
string_nouns = ''
while dic_terms.has_key(id_t):
while dic_terms.has_key(id_t):
if not re.match('^(pu|num|conj|art|prp|spec)', dic_terms[id_t]['pos']) and (re.search('[$]', dic_terms[id_t]['lemma']) is None) and (len(dic_terms[id_t]['lemma']) >= self.parameters.getMinWordSize()):
lemma = accents.buildCodes(dic_terms[id_t]['lemma'])
if dic_nouns.has_key(id_t):
string_nouns += lemma+'__N '
string_full += lemma+'__N '
elif dic_verbs.has_key(id_t):
string_nouns += lemma+'__V '
string_full += lemma+'__V '
else:
string_full += lemma+'__O '
string_nouns = string_nouns.replace('-', '_')
string_full = string_full.replace('-', '_')
id_word += 1
id_t = 's'+str(id_sentence)+'_'+str(id_word)
id_word = 1
id_sentence += 1
id_t = 's'+str(id_sentence)+'_'+str(id_word)
self.__writeCorpusFile__(corpus_filename, string_full, string_nouns)
