def get_similar_post_comment():
post_ids = []
for post in Post.where():
post_ids.append(post.id)
idf.append(post.id, post.content.encode('U8'))
length = len(post_ids)
similar = np.zeros(length**2, np.float)
similar = similar.reshape(length, length)
cache = {}
for numi, i in enumerate(post_ids):
for numj, j in enumerate(post_ids):
key = '%s-%s'%(i, j)
if key not in cache and '%s-%s'%(j, i) not in cache:
cache[key] = idf.similar(i, j)
else:
key = '%s-%s'%(j, i)
similar[numi][numj] = cache[key]
comments = Comment.where().order_by('updated').col_list(col='id,content')
com_length = len(comments)
comment_rela = np.zeros(com_length*length, np.float)
comment_rela = comment_rela.reshape(com_length, length)
for num, (i, j) in enumerate(comments):
idf.append(i, j.encode('U8'))
for x, p in enumerate(post_ids):
comment_rela[num][x] = idf.similar(i, p)
return post_ids, similar, [i[0] for i in comments], comment_rela
def comment_by_group_user(group_id, user_id):
author_id = get_author_id_by_user_id(user_id)
users = get_user_by_group(group_id)
comments = []
for user in users:
for post in Post.where(user_id=user):
for comment in Comment.where(post_id=post.id):
if comment.author_id == author_id:
comments.append(comment)
return comments
def posts_by_users(users):
for user in users:
for post in Post.where(user_id=user):
yield post
