def process(collection, reverseType):
queries = parseQueries()
parts = {item[0].rstrip(): list(itertools.chain(*([replacePunct(line[1:])
for line in item[1:]
if line[0] == "W"])))
for item in queries}
for index, qu in parts.iteritems():
#print(collection, index, " ".join(qu))
yield (index, qu, vectorial.main(collection, reverseType, " ".join(qu)))
def searchToQuery(search):
#output : parsed query with words and occurence
with open("../CACM/common_words", "r") as cw:
common_words = replacePunct(cw.read())
return count_words(common_words, search.split())
def normalize_wiki(open_file):
xml_free = ''.join(ElementTree.fromstring(open_file).itertext())
if type(xml_free) == unicode:
xml_free = unicodedata.normalize('NFKD', xml_free).encode('ascii', 'ignore')
clean_file = replacePunct(xml_free)
return clean_file
import os
import json
from xml.etree import ElementTree
import unicodedata
from parseCollection import replacePunct, count_words
def normalize_wiki(open_file):
xml_free = ''.join(ElementTree.fromstring(open_file).itertext())
if type(xml_free) == unicode:
xml_free = unicodedata.normalize('NFKD', xml_free).encode('ascii', 'ignore')
clean_file = replacePunct(xml_free)
return clean_file
if __name__ == "__main__":
for elem in os.listdir("../Wiki"):
print(elem)
for i, filename in enumerate(os.listdir("../Wiki/" + elem)):
if (i % 1000 == 0):
print ("%.2f%%" % (100. * i / 660000))
clean_file = normalize_wiki(open("../Wiki/" + elem + "/" + filename, "r").read())
with open("../CACM/common_words", "r") as cw:
common_words = replacePunct(cw.read())
freq = count_words(common_words, clean_file)
dump_dir_path = "../WIKIindexes/wikifreq/" + elem + "/"
if not os.path.exists(dump_dir_path):
os.makedirs(dump_dir_path)
with open(dump_dir_path + filename.split(".")[0] + ".json", "w") as dump:
dump.write(json.dumps(freq, indent=2))