mirror of
https://github.com/codeninjasllc/discourse.git
synced 2024-11-24 16:18:42 -05:00
126 lines
6.2 KiB
Ruby
126 lines
6.2 KiB
Ruby
class HotTopic < ActiveRecord::Base
|
|
|
|
belongs_to :topic
|
|
belongs_to :category
|
|
|
|
# Here's the current idea behind the implementaiton of hot: random can produce good results!
|
|
# Hot is currently made up of a random selection of high percentile topics. It includes mostly
|
|
# new topics, but also some old ones for variety.
|
|
def self.refresh!
|
|
transaction do
|
|
exec_sql "DELETE FROM hot_topics"
|
|
|
|
# TODO, move these to site settings once we're sure this is how we want to figure out hot
|
|
max_hot_topics = 200 # how many hot topics we want
|
|
hot_percentile = 0.2 # What percentile of topics we consider good
|
|
older_percentage = 0.2 # how many old topics we want as a percentage
|
|
new_days = 21 # how many days old we consider old
|
|
no_old_in_first_x_rows = 8 # don't show old results in the first x rows
|
|
|
|
# Include all sticky uncategorized on Hot
|
|
exec_sql("INSERT INTO hot_topics (topic_id,
|
|
random_bias,
|
|
random_multiplier,
|
|
days_ago_bias,
|
|
days_ago_multiplier,
|
|
score,
|
|
hot_topic_type)
|
|
SELECT t.id,
|
|
calc.random_bias,
|
|
1.0,
|
|
0,
|
|
1.0,
|
|
calc.random_bias,
|
|
1
|
|
FROM topics AS t
|
|
INNER JOIN (SELECT id, RANDOM() as random_bias
|
|
FROM topics) AS calc ON calc.id = t.id
|
|
WHERE t.deleted_at IS NULL
|
|
AND t.visible
|
|
AND (NOT t.archived)
|
|
AND t.pinned_at IS NOT NULL
|
|
AND t.category_id IS NULL")
|
|
|
|
# Include high percentile recent topics
|
|
inserted_count = exec_sql("INSERT INTO hot_topics (topic_id,
|
|
category_id,
|
|
random_bias,
|
|
random_multiplier,
|
|
days_ago_bias,
|
|
days_ago_multiplier,
|
|
score,
|
|
hot_topic_type)
|
|
SELECT t.id,
|
|
t.category_id,
|
|
calc.random_bias,
|
|
0.05,
|
|
calc.days_ago_bias,
|
|
0.95,
|
|
(calc.random_bias * 0.05) + (days_ago_bias * 0.95),
|
|
2
|
|
FROM topics AS t
|
|
INNER JOIN (SELECT id,
|
|
RANDOM() as random_bias,
|
|
((1.0 - (EXTRACT(EPOCH FROM CURRENT_TIMESTAMP-created_at)/86400) / :days_ago) * 0.95) AS days_ago_bias
|
|
FROM topics) AS calc ON calc.id = t.id
|
|
WHERE t.deleted_at IS NULL
|
|
AND t.visible
|
|
AND (NOT t.closed)
|
|
AND (NOT t.archived)
|
|
AND t.pinned_at IS NULL
|
|
AND t.archetype <> :private_message
|
|
AND created_at >= (CURRENT_TIMESTAMP - INTERVAL ':days_ago' DAY)
|
|
AND t.percent_rank < :hot_percentile
|
|
AND NOT EXISTS(SELECT * FROM hot_topics AS ht2 WHERE ht2.topic_id = t.id)
|
|
LIMIT :limit",
|
|
hot_percentile: hot_percentile,
|
|
limit: ((1.0 - older_percentage) * max_hot_topics).round,
|
|
private_message: Archetype::private_message,
|
|
days_ago: new_days)
|
|
|
|
max_old_score = 1.0
|
|
|
|
# Finding the highest score in the first x rows
|
|
if HotTopic.count > no_old_in_first_x_rows
|
|
max_old_score = HotTopic.order('score desc').limit(no_old_in_first_x_rows).last.score
|
|
end
|
|
|
|
# Add a sprinkling of random older topics
|
|
exec_sql("INSERT INTO hot_topics (topic_id,
|
|
category_id,
|
|
random_bias,
|
|
random_multiplier,
|
|
days_ago_bias,
|
|
days_ago_multiplier,
|
|
score,
|
|
hot_topic_type)
|
|
SELECT t.id,
|
|
t.category_id,
|
|
calc.random_bias,
|
|
:max_old_score,
|
|
0,
|
|
1.0,
|
|
calc.random_bias * :max_old_score,
|
|
3
|
|
FROM topics AS t
|
|
INNER JOIN (SELECT id, RANDOM() as random_bias
|
|
FROM topics) AS calc ON calc.id = t.id
|
|
WHERE t.deleted_at IS NULL
|
|
AND t.visible
|
|
AND (NOT t.closed)
|
|
AND (NOT t.archived)
|
|
AND t.pinned_at IS NULL
|
|
AND t.archetype <> :private_message
|
|
AND created_at < (CURRENT_TIMESTAMP - INTERVAL ':days_ago' DAY)
|
|
AND t.percent_rank < :hot_percentile
|
|
AND NOT EXISTS(SELECT * FROM hot_topics AS ht2 WHERE ht2.topic_id = t.id)
|
|
LIMIT :limit",
|
|
hot_percentile: hot_percentile,
|
|
limit: (older_percentage * max_hot_topics).round,
|
|
private_message: Archetype::private_message,
|
|
days_ago: new_days,
|
|
max_old_score: max_old_score)
|
|
end
|
|
end
|
|
|
|
end
|