docbrown/app/lib/black_box.rb
Ben Halpern 083732e2f3
Optimize and simplify onboarding recommendations (#20682)
* Improve performance of follow recs

* Finish and simplify

* Update tests

* Update tests

* Update tests

* Change onboardings_controller

* Adjust tests

* Change fallback to use score

* Adjust join
2024-02-29 15:57:52 -05:00

54 lines
2.1 KiB
Ruby

class BlackBox
OUR_EPOCH_NUMBER = "2010-01-01 00:00:01".to_time.to_i # Arbitrary date, but the one we went with.
class << self
def article_hotness_score(article)
usable_date = article.crossposted_at || article.published_at
reaction_points = article.score
super_super_recent_bonus = usable_date > 1.hour.ago ? 28 : 0
super_recent_bonus = usable_date > 8.hours.ago ? 81 : 0
recency_bonus = usable_date > 12.hours.ago ? 280 : 0
today_bonus = usable_date > 26.hours.ago ? 795 : 0
two_day_bonus = usable_date > 48.hours.ago ? 830 : 0
four_day_bonus = usable_date > 96.hours.ago ? 930 : 0
featured_bonus = article.featured ? 200 : 0
if usable_date < 4.days.ago
reaction_points /= 2 # Older posts should fade
end
if usable_date < 7.days.ago
reaction_points /= 4 # Older posts should fade
end
if article.decorate.cached_tag_list_array.include?("watercooler")
reaction_points = (reaction_points * 0.8).to_i # watercooler posts shouldn't get as much love in feed
end
article_hotness = last_mile_hotness_calc(article)
(
article_hotness + reaction_points + recency_bonus + super_recent_bonus +
super_super_recent_bonus + today_bonus + two_day_bonus + four_day_bonus + featured_bonus
)
end
def comment_quality_score(comment)
descendants_points = (comment.descendants.size / 2)
rep_points = comment.reactions.sum(:points)
bonus_points = calculate_bonus_score(comment.body_markdown)
(rep_points + descendants_points + bonus_points).to_i
end
private
def calculate_bonus_score(body_markdown)
size_bonus = body_markdown.size > 200 ? 2 : 0
code_bonus = body_markdown.include?("`") ? 1 : 0
size_bonus + code_bonus
end
def last_mile_hotness_calc(article)
score_from_epoch = article.published_at.to_i - OUR_EPOCH_NUMBER # Approximate time of publish - epoch time
(score_from_epoch / 1000) +
([article.score, 650].min * 2) +
([article.comment_score, 650].min * 2)
end
end
end