def update_comment_votes(comments):
from r2.models import CommentScoresByLink
comments = tup(comments)
link_map = {}
for com in comments:
link_map.setdefault(com.link_id, []).append(com)
all_links = Link._byID(link_map.keys(), data=True)
comment_trees = {}
for link in all_links.values():
comment_trees[link._id] = get_comment_tree(link)
for link_id, coms in link_map.iteritems():
link = all_links[link_id]
for sort in ("_controversy", "_hot", "_confidence", "_score", "_date",
"_qa"):
cid_tree = comment_trees[link_id].tree
scores_by_comment = _comment_sorter_from_cids(coms,
sort,
link,
cid_tree,
by_36=True)
CommentScoresByLink.set_scores(link, sort, scores_by_comment)
def update_comment_votes(comments, write_consistency_level=None):
from r2.models import CommentSortsCache, CommentScoresByLink
comments = tup(comments)
link_map = {}
for com in comments:
link_map.setdefault(com.link_id, []).append(com)
all_links = Link._byID(link_map.keys(), data=True)
comment_trees = {}
for link in all_links.values():
comment_trees[link._id] = get_comment_tree(link)
for link_id, coms in link_map.iteritems():
link = all_links[link_id]
for sort in ("_controversy", "_hot", "_confidence", "_score", "_date",
"_qa"):
cid_tree = comment_trees[link_id].tree
scores_by_comment = _comment_sorter_from_cids(coms,
sort,
link,
cid_tree,
by_36=True)
# Cassandra always uses the id36 instead of the integer
# ID, so we'll map that first before sending it
c_key = sort_comments_key(link_id, sort)
CommentSortsCache._set_values(
c_key,
scores_by_comment,
write_consistency_level=write_consistency_level)
CommentScoresByLink.set_scores(link, sort, scores_by_comment)
def update_comment_votes(comments, write_consistency_level = None):
from r2.models import CommentSortsCache, CommentScoresByLink
comments = tup(comments)
link_map = {}
for com in comments:
link_map.setdefault(com.link_id, []).append(com)
all_links = Link._byID(link_map.keys(), data=True)
comment_trees = {}
for link in all_links.values():
comment_trees[link._id] = get_comment_tree(link)
for link_id, coms in link_map.iteritems():
link = all_links[link_id]
for sort in ("_controversy", "_hot", "_confidence", "_score", "_date",
"_qa"):
cid_tree = comment_trees[link_id].tree
scores_by_comment = _comment_sorter_from_cids(
coms, sort, link, cid_tree, by_36=True)
# Cassandra always uses the id36 instead of the integer
# ID, so we'll map that first before sending it
c_key = sort_comments_key(link_id, sort)
CommentSortsCache._set_values(c_key, scores_by_comment,
write_consistency_level=write_consistency_level)
CommentScoresByLink.set_scores(link, sort, scores_by_comment)
def update_comment_votes(comments):
from r2.models import CommentScoresByLink
comments = tup(comments)
link_map = {}
for com in comments:
link_map.setdefault(com.link_id, []).append(com)
all_links = Link._byID(link_map.keys(), data=True)
comment_trees = {}
for link in all_links.values():
comment_trees[link._id] = get_comment_tree(link)
for link_id, coms in link_map.iteritems():
link = all_links[link_id]
for sort in ("_controversy", "_hot", "_confidence", "_score", "_date", "_qa"):
cid_tree = comment_trees[link_id].tree
scores_by_comment = _comment_sorter_from_cids(coms, sort, link, cid_tree, by_36=True)
CommentScoresByLink.set_scores(link, sort, scores_by_comment)
def update_comment_votes(comments):
from r2.models import CommentScoresByLink
comments = tup(comments)
comments_by_link_id = defaultdict(list)
for comment in comments:
comments_by_link_id[comment.link_id].append(comment)
links_by_id = Link._byID(comments_by_link_id.keys(), data=True)
for link_id, link_comments in comments_by_link_id.iteritems():
link = links_by_id[link_id]
for sort in ("_controversy", "_confidence", "_score"):
scores_by_comment = {
comment._id36: getattr(comment, sort)
for comment in link_comments
}
CommentScoresByLink.set_scores(link, sort, scores_by_comment)
scores_by_comment = _get_qa_comment_scores(link, link_comments)
CommentScoresByLink.set_scores(link, "_qa", scores_by_comment)
def update_comment_votes(comments):
from r2.models import CommentScoresByLink
comments = tup(comments)
comments_by_link_id = defaultdict(list)
for comment in comments:
comments_by_link_id[comment.link_id].append(comment)
links_by_id = Link._byID(comments_by_link_id.keys(), data=True)
for link_id, link_comments in comments_by_link_id.iteritems():
link = links_by_id[link_id]
for sort in ("_controversy", "_confidence", "_score"):
scores_by_comment = {
comment._id36: getattr(comment, sort)
for comment in link_comments
}
CommentScoresByLink.set_scores(link, sort, scores_by_comment)
scores_by_comment = _get_qa_comment_scores(link, link_comments)
CommentScoresByLink.set_scores(link, "_qa", scores_by_comment)
