def show_similarity(gid_x, gid_y):
"""
"""
novel_node_x = show_cluster_node(gid_x)
novel_node_y = show_cluster_node(gid_y)
cluster_similarity = NovelSimilarityModule()
similarity, match_list = cluster_similarity.novel_node_similarity_calculation(novel_node_x, novel_node_y)
print(similarity)
print(match_list)
for table_id in xrange(1, 256):
sql = 'SELECT dir_id FROM novel_cluster_dir_info{0} WHERE book_name = "{1}"'.format(table_id, novel_node.book_name.encode('GBK'))
cursor = conn.cursor()
cursor.execute(sql)
for (id, ) in cursor.fetchall():
id_list.append(id)
cursor.close()
if len(id_list) == 0:
continue
print_novel_node(novel_node, dir_id)
similarity = NovelSimilarityModule()
for id in id_list:
node = get_novel_node(conn, id)
print_novel_node(node, id)
print(similarity.novel_node_similarity_calculation(novel_node, node))
novel_node = node
conn.close()
here()