def test_similarity_of_two_sets_using_w_shingles():
print ".....Testing w-shingles (shingling, minhash & calc jaccard similarity)\n"
min_values_list_w_shingles = None
for shingle, original_document in shingle_generator(faux_generator_string_words(), type=ShingleType.W_SHINGLES):
print shingle
min_values_list_w_shingles = run(shingle)
print "number of min_hash values -> %s" % str(len(min_values_list_w_shingles))
print min_values_list_w_shingles
print
min_values_list_w_shingles_2 = None
for shingle, original_document in shingle_generator(faux_generator_string_words_2(), type=ShingleType.W_SHINGLES):
print shingle
min_values_list_w_shingles_2 = run(shingle)
print "number of min_hash values -> %s" % str(len(min_values_list_w_shingles_2))
print min_values_list_w_shingles_2
print
# calculate jaccard similarity - should be approx 44% similar
similarity_ratio = jaccard_similarity(set(min_values_list_w_shingles), set(min_values_list_w_shingles_2))
print "Asserting jaccard similarity should be ~44%\n"
assert similarity_ratio >= .44
def post(self):
try:
self.open()
self.tweets = []
self.lshj = LshJaccard(num_bands=20, rows_per_band=10)
except:
self.session['tw_auth'] = None
self.redirect('/')
return
while True:
try:
for shingles_list, original_document in shingle_generator(self.get_next()):
# get minhash signatures for each shingle list
min_hash_signatures = minhash.run(shingles_list)
#create document and run LSH for Jaccard Distance
doc_obj = JaccardDocument(original_document, shingles_list, min_hash_signatures)
logging.info('Running Jaccard LSH Current Tweet: %s', original_document)
results = self.lshj.run(doc_obj)
if results:
logging.info('.....RESULTS.....')
logging.info('.....score: %s', str(results['score']))
logging.info('.....match_found: %s', str(results['match_found']))
logging.info(results['document_1'])
logging.info(results['document_2'])
logging.info('---------------------------------------------------')
logging.info('Results: %s', str(results['score']))
#TODO update the code the read this and prints out score, docs and match boolean flag
#self.tweets.append(str(results['score']))
except NotFound as nf:
logging.error('TwitterReadNode.GetNext completed, %s', nf.value)
break
self.close(save=True)
