caching and load order

This commit is contained in:
Joffrey JAFFEUX 2025-01-20 16:50:51 +01:00
parent 141140a410
commit a59d6c7931
22 changed files with 630 additions and 601 deletions

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@ -7,7 +7,7 @@ module ::DiscourseRewind
requires_login requires_login
def show def show
DiscourseRewind::Rewind::Fetch.call(service_params) do DiscourseRewind::FetchReports.call(service_params) do
on_model_not_found(:year) { raise Discourse::NotFound } on_model_not_found(:year) { raise Discourse::NotFound }
on_model_not_found(:user) { raise Discourse::NotFound } on_model_not_found(:user) { raise Discourse::NotFound }
on_success do |reports:| on_success do |reports:|

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@ -0,0 +1,43 @@
# frozen_string_literal: true
# For a GitHub like calendar
# https://docs.github.com/assets/cb-35216/mw-1440/images/help/profile/contributions-graph.webp
module DiscourseRewind
module Action
class ActivityCalendar < BaseReport
FakeData = {
data:
(Date.new(2024, 1, 1)..Date.new(2024, 12, 31)).map do |date|
{ date:, post_count: rand(0..20), visited: false }
end,
identifier: "activity-calendar",
}
def call
return FakeData if Rails.env.development?
calendar =
Post
.unscoped
.joins(<<~SQL)
RIGHT JOIN
generate_series('#{date.first}', '#{date.last}', '1 day'::interval) ON
posts.created_at::date = generate_series::date AND
posts.user_id = #{user.id} AND
posts.deleted_at IS NULL
SQL
.joins(
"LEFT JOIN user_visits ON generate_series::date = visited_at AND user_visits.user_id = #{user.id}",
)
.select(
"generate_series::date as date, count(posts.id) as post_count, COUNT(visited_at) > 0 as visited",
)
.group("generate_series, user_visits.id")
.order("generate_series")
.map { |row| { date: row.date, post_count: row.post_count, visited: row.visited } }
{ data: calendar, identifier: "activity-calendar" }
end
end
end
end

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@ -0,0 +1,18 @@
# frozen_string_literal: true
module DiscourseRewind
module Action
class BaseReport < Service::ActionBase
option :user
option :date
def call
raise NotImplementedError
end
def self.enabled?
true
end
end
end
end

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@ -0,0 +1,21 @@
# frozen_string_literal: true
module DiscourseRewind
module Action
class BestPosts < BaseReport
def call
best_posts =
Post
.where(user_id: user.id)
.where(created_at: date)
.where(deleted_at: nil)
.where("post_number > 1")
.order("like_count DESC NULLS LAST")
.limit(3)
.pluck(:post_number, :topic_id, :like_count, :reply_count, :raw, :cooked)
{ data: best_posts, identifier: "best-posts" }
end
end
end
end

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@ -0,0 +1,23 @@
# frozen_string_literal: true
module DiscourseRewind
module Action
class BestTopics < BaseReport
def call
best_topics =
TopTopic
.includes(:topic)
.references(:topic)
.where(topic: { deleted_at: nil, created_at: date, user_id: user.id })
.order("yearly_score DESC NULLS LAST")
.limit(3)
.pluck(:topic_id, :title, :excerpt, :yearly_score)
.map do |topic_id, title, excerpt, yearly_score|
{ topic_id: topic_id, title: title, excerpt: excerpt, yearly_score: yearly_score }
end
{ data: best_topics, identifier: "best-topics" }
end
end
end
end

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@ -0,0 +1,36 @@
# frozen_string_literal: true
# Topics visited grouped by category
module DiscourseRewind
module Action
class FavoriteCategories < BaseReport
FakeData = {
data: [
{ category_id: 1, name: "cats" },
{ category_id: 2, name: "dogs" },
{ category_id: 3, name: "countries" },
{ category_id: 4, name: "management" },
{ category_id: 5, name: "things" },
],
identifier: "favorite-categories",
}
def call
return FakeData if Rails.env.development?
favorite_categories =
TopicViewItem
.joins(:topic)
.joins("INNER JOIN categories ON categories.id = topics.category_id")
.where(user: user)
.where(viewed_at: date)
.group("categories.id, categories.name")
.order("COUNT(*) DESC")
.limit(5)
.pluck("categories.id, categories.name")
.map { |category_id, name| { category_id: category_id, name: name } }
{ data: favorite_categories, identifier: "favorite-categories" }
end
end
end
end

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@ -0,0 +1,38 @@
# frozen_string_literal: true
# Topics visited grouped by tag
module DiscourseRewind
module Action
class FavoriteTags < BaseReport
FakeData = {
data: [
{ tag_id: 1, name: "cats" },
{ tag_id: 2, name: "dogs" },
{ tag_id: 3, name: "countries" },
{ tag_id: 4, name: "management" },
{ tag_id: 5, name: "things" },
],
identifier: "favorite-tags",
}
def call
return FakeData if Rails.env.development?
favorite_tags =
TopicViewItem
.joins(:topic)
.joins("INNER JOIN topic_tags ON topic_tags.topic_id = topics.id")
.joins("INNER JOIN tags ON tags.id = topic_tags.tag_id")
.where(user: user)
.where(viewed_at: date)
.group("tags.id, tags.name")
.order("COUNT(DISTINCT topic_views.topic_id) DESC")
.limit(5)
.pluck("tags.id, tags.name")
.map { |tag_id, name| { tag_id: tag_id, name: name } }
{ data: favorite_tags, identifier: "favorite-tags" }
end
end
end
end

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@ -0,0 +1,114 @@
# frozen_string_literal: true
# Forum Best Friend Forever ranking
# Score is informative only, do not show in UI
module DiscourseRewind
module Action
class Fbff < BaseReport
MAX_SUMMARY_RESULTS ||= 50
LIKE_SCORE ||= 1
REPLY_SCORE ||= 10
def call
most_liked_users =
like_query(date)
.where(acting_user_id: user.id)
.group(:user_id)
.order("COUNT(*) DESC")
.limit(MAX_SUMMARY_RESULTS)
.pluck("user_actions.user_id, COUNT(*)")
.map { |user_id, count| { user_id => count } }
.reduce({}, :merge)
most_liked_by_users =
like_query(date)
.where(user: user)
.group(:acting_user_id)
.order("COUNT(*) DESC")
.limit(MAX_SUMMARY_RESULTS)
.pluck("acting_user_id, COUNT(*)")
.map { |acting_user_id, count| { acting_user_id => count } }
.reduce({}, :merge)
users_who_most_replied_me =
post_query(user, date)
.where(posts: { user_id: user.id })
.group("replies.user_id")
.order("COUNT(*) DESC")
.limit(MAX_SUMMARY_RESULTS)
.pluck("replies.user_id, COUNT(*)")
.map { |user_id, count| { user_id => count } }
.reduce({}, :merge)
users_i_most_replied =
post_query(user, date)
.where("replies.user_id = ?", user.id)
.group("posts.user_id")
.order("COUNT(*) DESC")
.limit(MAX_SUMMARY_RESULTS)
.pluck("posts.user_id, COUNT(*)")
.map { |user_id, count| { user_id => count } }
.reduce({}, :merge)
#TODO include chat?
fbffs = [
apply_score(most_liked_users, LIKE_SCORE),
apply_score(most_liked_by_users, LIKE_SCORE),
apply_score(users_who_most_replied_me, REPLY_SCORE),
apply_score(users_i_most_replied, REPLY_SCORE),
]
fbff_id =
fbffs
.flatten
.inject { |h1, h2| h1.merge(h2) { |_, v1, v2| v1 + v2 } }
&.sort_by { |_, v| -v }
&.first
&.first
return if !fbff_id
{
data: {
fbff: BasicUserSerializer.new(User.find(fbff_id), root: false).as_json,
yourself: BasicUserSerializer.new(user, root: false).as_json,
},
identifier: "fbff",
}
end
def post_query(user, date)
Post
.joins(:topic)
.includes(:topic)
.where(
"posts.post_type IN (?)",
Topic.visible_post_types(user, include_moderator_actions: false),
)
.joins(
"INNER JOIN posts replies ON posts.topic_id = replies.topic_id AND posts.reply_to_post_number = replies.post_number",
)
.joins(
"INNER JOIN topics ON replies.topic_id = topics.id AND topics.archetype <> 'private_message'",
)
.joins(
"AND replies.post_type IN (#{Topic.visible_post_types(user, include_moderator_actions: false).join(",")})",
)
.where("replies.created_at BETWEEN ? AND ?", date.first, date.last)
.where("replies.user_id <> posts.user_id")
end
def like_query(date)
UserAction
.joins(:target_topic, :target_post)
.where(created_at: date)
.where(action_type: UserAction::WAS_LIKED)
end
def apply_score(users, score)
users.map { |user_id, count| { user_id => count * score } }
end
end
end
end

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@ -0,0 +1,92 @@
# frozen_string_literal: true
# For a most user / received reactions cards
module DiscourseRewind
module Action
class Reactions < BaseReport
FakeData = {
data: {
post_received_reactions: {
"open_mouth" => 2,
"cat" => 32,
"dog" => 34,
"heart" => 45,
"grinning" => 82,
},
post_used_reactions: {
"open_mouth" => 2,
"cat" => 32,
"dog" => 34,
"heart" => 45,
"grinning" => 82,
},
chat_used_reactions: {
"open_mouth" => 2,
"cat" => 32,
"dog" => 34,
"heart" => 45,
"grinning" => 82,
},
chat_received_reactions: {
"open_mouth" => 2,
"cat" => 32,
"dog" => 34,
"heart" => 45,
"grinning" => 82,
},
},
identifier: "reactions",
}
def call
return FakeData if Rails.env.development?
data = {}
if defined?(DiscourseReactions::Reaction)
# This is missing heart reactions (default like)
data[:post_used_reactions] = sort_and_limit(
DiscourseReactions::Reaction
.by_user(user)
.where(created_at: date)
.group(:reaction_value)
.count,
)
data[:post_received_reactions] = sort_and_limit(
DiscourseReactions::Reaction
.includes(:post)
.where(posts: { user_id: user.id })
.where(created_at: date)
.group(:reaction_value)
.count,
)
end
if SiteSetting.chat_enabled
data[:chat_used_reactions] = sort_and_limit(
Chat::MessageReaction.where(user: user).where(created_at: date).group(:emoji).count,
)
data[:chat_received_reactions] = sort_and_limit(
Chat::MessageReaction
.includes(:chat_message)
.where(chat_message: { user_id: user.id })
.where(created_at: date)
.group(:emoji)
.count,
)
end
{ data:, identifier: "reactions" }
end
def enabled?
SiteSetting.discourse_reactions_enabled || SiteSetting.chat_enabled
end
def sort_and_limit(reactions)
reactions.sort_by { |_, v| -v }.first(5).reverse.to_h
end
end
end
end

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@ -0,0 +1,202 @@
# frozen_string_literal: true
# For showcasing the reading time of a user
# Should we show book covers or just the names?
module DiscourseRewind
module Action
class ReadingTime < BaseReport
FakeData = {
data: {
reading_time: 2_880_000,
book: "The Combined Cosmere works + Wheel of Time",
isbn: "978-0812511819",
series: true,
},
identifier: "reading-time",
}
def call
return FakeData if Rails.env.development?
reading_time = UserVisit.where(user_id: user.id).where(visited_at: date).sum(:time_read)
book = best_book_fit(reading_time)
return if book.nil?
{
data: {
reading_time: reading_time,
book: book[:title],
isbn: book[:isbn],
series: book[:series],
},
identifier: "reading-time",
}
end
def popular_books
{
"The Hunger Games" => {
reading_time: 19_740,
isbn: "978-0439023481",
series: false,
},
"The Metamorphosis" => {
reading_time: 3120,
isbn: "978-0553213690",
series: false,
},
"To Kill a Mockingbird" => {
reading_time: 22_800,
isbn: "978-0061120084",
series: false,
},
"Pride and Prejudice" => {
reading_time: 25_200,
isbn: "978-1503290563",
series: false,
},
"1984" => {
reading_time: 16_800,
isbn: "978-0451524935",
series: false,
},
"The Lord of the Rings" => {
reading_time: 108_000,
isbn: "978-0544003415",
series: true,
},
"Harry Potter and the Sorcerer's Stone" => {
reading_time: 24_600,
isbn: "978-0590353427",
series: true,
},
"The Great Gatsby" => {
reading_time: 12_600,
isbn: "978-0743273565",
series: false,
},
"The Little Prince" => {
reading_time: 5400,
isbn: "978-0156012195",
series: false,
},
"Animal Farm" => {
reading_time: 7200,
isbn: "978-0451526342",
series: false,
},
"The Catcher in the Rye" => {
reading_time: 18_000,
isbn: "978-0316769488",
series: false,
},
"Jane Eyre" => {
reading_time: 34_200,
isbn: "978-0141441146",
series: false,
},
"Fahrenheit 451" => {
reading_time: 15_000,
isbn: "978-1451673319",
series: false,
},
"The Hobbit" => {
reading_time: 27_000,
isbn: "978-0547928227",
series: false,
},
"The Da Vinci Code" => {
reading_time: 37_800,
isbn: "978-0307474278",
series: false,
},
"Little Women" => {
reading_time: 30_000,
isbn: "978-0147514011",
series: false,
},
"One Hundred Years of Solitude" => {
reading_time: 46_800,
isbn: "978-0060883287",
series: false,
},
"And Then There Were None" => {
reading_time: 16_200,
isbn: "978-0062073488",
series: false,
},
"The Alchemist" => {
reading_time: 10_800,
isbn: "978-0061122415",
series: false,
},
"The Hitchhiker's Guide to the Galaxy" => {
reading_time: 12_600,
isbn: "978-0345391803",
series: false,
},
"The Complete works of Shakespeare" => {
reading_time: 180_000,
isbn: "978-1853268953",
series: true,
},
"The Game of Thrones Series" => {
reading_time: 360_000,
isbn: "978-0007477159",
series: true,
},
"Malazan Book of the Fallen" => {
reading_time: 720_000,
isbn: "978-0765348821",
series: true,
},
"Terry Pratchetts Discworld series" => {
reading_time: 1_440_000,
isbn: "978-9123684458",
series: true,
},
"The Wandering Inn web series" => {
reading_time: 2_160_000,
isbn: "the-wandering-inn",
series: true,
},
"The Combined Cosmere works + Wheel of Time" => {
reading_time: 2_880_000,
isbn: "978-0812511819",
series: true,
},
"The Star Trek novels" => {
reading_time: 3_600_000,
isbn: "978-1852860691",
series: true,
},
}.symbolize_keys
end
def best_book_fit(reading_time)
reading_time_rest = reading_time
books = []
while reading_time_rest > 0
best_fit = popular_books.min_by { |_, v| (v[:reading_time] - reading_time_rest).abs }
break if best_fit.nil?
books << best_fit.first
reading_time_rest -= best_fit.last[:reading_time]
end
return if books.empty?
book_title =
books.group_by { |book| book }.transform_values(&:count).max_by { |_, count| count }.first
{
title: book_title,
isbn: popular_books[book_title][:isbn],
series: popular_books[book_title][:series],
}
end
end
end
end

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@ -1,23 +1,24 @@
# frozen_string_literal: true # frozen_string_literal: true
module DiscourseRewind module DiscourseRewind
class Rewind::Action::TopWords < Rewind::Action::BaseReport module Action
FakeData = { class TopWords < BaseReport
data: [ FakeData = {
{ word: "what", score: 100 }, data: [
{ word: "have", score: 90 }, { word: "what", score: 100 },
{ word: "you", score: 80 }, { word: "have", score: 90 },
{ word: "overachieved", score: 70 }, { word: "you", score: 80 },
{ word: "this", score: 60 }, { word: "overachieved", score: 70 },
{ word: "week", score: 50 }, { word: "this", score: 60 },
], { word: "week", score: 50 },
identifier: "top-words", ],
} identifier: "top-words",
}
def call def call
return FakeData if Rails.env.development? return FakeData if Rails.env.development?
words = DB.query(<<~SQL, user_id: user.id, date_start: date.first, date_end: date.last) words = DB.query(<<~SQL, user_id: user.id, date_start: date.first, date_end: date.last)
WITH popular_words AS ( WITH popular_words AS (
SELECT SELECT
* *
@ -78,9 +79,10 @@ module DiscourseRewind
LIMIT 100 LIMIT 100
SQL SQL
word_score = words.map { { word: _1.original_word, score: _1.ndoc + _1.nentry } } word_score = words.map { { word: _1.original_word, score: _1.ndoc + _1.nentry } }
{ data: word_score, identifier: "top-words" } { data: word_score, identifier: "top-words" }
end
end end
end end
end end

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@ -8,7 +8,7 @@ module DiscourseRewind
# guardian: guardian # guardian: guardian
# ) # )
# #
class Rewind::Fetch class FetchReports
include Service::Base include Service::Base
# @!method self.call(guardian:, params:) # @!method self.call(guardian:, params:)
@ -18,7 +18,20 @@ module DiscourseRewind
# @option params [Integer] :username of the rewind # @option params [Integer] :username of the rewind
# @return [Service::Base::Context] # @return [Service::Base::Context]
CACHE_DURATION = 5.minutes CACHE_DURATION = Rails.env.development? ? 10.seconds : 5.minutes
# order matters
REPORTS = [
Action::TopWords,
Action::ReadingTime,
Action::Reactions,
Action::Fbff,
Action::FavoriteTags,
Action::FavoriteCategories,
Action::BestTopics,
Action::BestPosts,
Action::ActivityCalendar,
]
model :year model :year
model :user model :user
@ -51,19 +64,15 @@ module DiscourseRewind
end end
def fetch_reports(date:, user:, guardian:, year:) def fetch_reports(date:, user:, guardian:, year:)
# key = "rewind:#{guardian.user.username}:#{year}" key = "rewind:#{guardian.user.username}:#{year}"
# reports = Discourse.redis.get(key) reports = Discourse.redis.get(key)
# if Rails.env.development? || !reports if !reports
reports = reports = REPORTS.map { |report| report.call(date:, user:, guardian:) }
::DiscourseRewind::Rewind::Action::BaseReport Discourse.redis.setex(key, CACHE_DURATION, MultiJson.dump(reports))
.descendants else
.filter { _1.enabled? } reports = MultiJson.load(reports, symbolize_keys: true)
.map { |report| report.call(date:, user:, guardian:) } end
# Discourse.redis.setex(key, CACHE_DURATION, MultiJson.dump(reports))
# else
# reports = MultiJson.load(reports.compact, symbolize_keys: true)
# end
reports reports
end end

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@ -1,41 +0,0 @@
# frozen_string_literal: true
# For a GitHub like calendar
# https://docs.github.com/assets/cb-35216/mw-1440/images/help/profile/contributions-graph.webp
module DiscourseRewind
class Rewind::Action::ActivityCalendar < Rewind::Action::BaseReport
FakeData = {
data:
(Date.new(2024, 1, 1)..Date.new(2024, 12, 31)).map do |date|
{ date:, post_count: rand(0..20), visited: false }
end,
identifier: "activity-calendar",
}
def call
return FakeData if Rails.env.development?
calendar =
Post
.unscoped
.joins(<<~SQL)
RIGHT JOIN
generate_series('#{date.first}', '#{date.last}', '1 day'::interval) ON
posts.created_at::date = generate_series::date AND
posts.user_id = #{user.id} AND
posts.deleted_at IS NULL
SQL
.joins(
"LEFT JOIN user_visits ON generate_series::date = visited_at AND user_visits.user_id = #{user.id}",
)
.select(
"generate_series::date as date, count(posts.id) as post_count, COUNT(visited_at) > 0 as visited",
)
.group("generate_series, user_visits.id")
.order("generate_series")
.map { |row| { date: row.date, post_count: row.post_count, visited: row.visited } }
{ data: calendar, identifier: "activity-calendar" }
end
end
end

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@ -1,16 +0,0 @@
# frozen_string_literal: true
module DiscourseRewind
class Rewind::Action::BaseReport < Service::ActionBase
option :user
option :date
def call
raise NotImplementedError
end
def self.enabled?
true
end
end
end

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@ -1,19 +0,0 @@
# frozen_string_literal: true
module DiscourseRewind
class Rewind::Action::BestPosts < Rewind::Action::BaseReport
def call
best_posts =
Post
.where(user_id: user.id)
.where(created_at: date)
.where(deleted_at: nil)
.where("post_number > 1")
.order("like_count DESC NULLS LAST")
.limit(3)
.pluck(:post_number, :topic_id, :like_count, :reply_count, :raw, :cooked)
{ data: best_posts, identifier: "best-posts" }
end
end
end

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@ -1,21 +0,0 @@
# frozen_string_literal: true
module DiscourseRewind
class Rewind::Action::BestTopics < Rewind::Action::BaseReport
def call
best_topics =
TopTopic
.includes(:topic)
.references(:topic)
.where(topic: { deleted_at: nil, created_at: date, user_id: user.id })
.order("yearly_score DESC NULLS LAST")
.limit(3)
.pluck(:topic_id, :title, :excerpt, :yearly_score)
.map do |topic_id, title, excerpt, yearly_score|
{ topic_id: topic_id, title: title, excerpt: excerpt, yearly_score: yearly_score }
end
{ data: best_topics, identifier: "best-topics" }
end
end
end

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@ -1,34 +0,0 @@
# frozen_string_literal: true
# Topics visited grouped by category
module DiscourseRewind
class Rewind::Action::FavoriteCategories < Rewind::Action::BaseReport
FakeData = {
data: [
{ category_id: 1, name: "cats" },
{ category_id: 2, name: "dogs" },
{ category_id: 3, name: "countries" },
{ category_id: 4, name: "management" },
{ category_id: 5, name: "things" },
],
identifier: "favorite-categories",
}
def call
return FakeData if Rails.env.development?
favorite_categories =
TopicViewItem
.joins(:topic)
.joins("INNER JOIN categories ON categories.id = topics.category_id")
.where(user: user)
.where(viewed_at: date)
.group("categories.id, categories.name")
.order("COUNT(*) DESC")
.limit(5)
.pluck("categories.id, categories.name")
.map { |category_id, name| { category_id: category_id, name: name } }
{ data: favorite_categories, identifier: "favorite-categories" }
end
end
end

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@ -1,36 +0,0 @@
# frozen_string_literal: true
# Topics visited grouped by tag
module DiscourseRewind
class Rewind::Action::FavoriteTags < Rewind::Action::BaseReport
FakeData = {
data: [
{ tag_id: 1, name: "cats" },
{ tag_id: 2, name: "dogs" },
{ tag_id: 3, name: "countries" },
{ tag_id: 4, name: "management" },
{ tag_id: 5, name: "things" },
],
identifier: "favorite-tags",
}
def call
return FakeData if Rails.env.development?
favorite_tags =
TopicViewItem
.joins(:topic)
.joins("INNER JOIN topic_tags ON topic_tags.topic_id = topics.id")
.joins("INNER JOIN tags ON tags.id = topic_tags.tag_id")
.where(user: user)
.where(viewed_at: date)
.group("tags.id, tags.name")
.order("COUNT(DISTINCT topic_views.topic_id) DESC")
.limit(5)
.pluck("tags.id, tags.name")
.map { |tag_id, name| { tag_id: tag_id, name: name } }
{ data: favorite_tags, identifier: "favorite-tags" }
end
end
end

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@ -1,112 +0,0 @@
# frozen_string_literal: true
# Forum Best Friend Forever ranking
# Score is informative only, do not show in UI
module DiscourseRewind
class Rewind::Action::Fbff < Rewind::Action::BaseReport
MAX_SUMMARY_RESULTS ||= 50
LIKE_SCORE ||= 1
REPLY_SCORE ||= 10
def call
most_liked_users =
like_query(date)
.where(acting_user_id: user.id)
.group(:user_id)
.order("COUNT(*) DESC")
.limit(MAX_SUMMARY_RESULTS)
.pluck("user_actions.user_id, COUNT(*)")
.map { |user_id, count| { user_id => count } }
.reduce({}, :merge)
most_liked_by_users =
like_query(date)
.where(user: user)
.group(:acting_user_id)
.order("COUNT(*) DESC")
.limit(MAX_SUMMARY_RESULTS)
.pluck("acting_user_id, COUNT(*)")
.map { |acting_user_id, count| { acting_user_id => count } }
.reduce({}, :merge)
users_who_most_replied_me =
post_query(user, date)
.where(posts: { user_id: user.id })
.group("replies.user_id")
.order("COUNT(*) DESC")
.limit(MAX_SUMMARY_RESULTS)
.pluck("replies.user_id, COUNT(*)")
.map { |user_id, count| { user_id => count } }
.reduce({}, :merge)
users_i_most_replied =
post_query(user, date)
.where("replies.user_id = ?", user.id)
.group("posts.user_id")
.order("COUNT(*) DESC")
.limit(MAX_SUMMARY_RESULTS)
.pluck("posts.user_id, COUNT(*)")
.map { |user_id, count| { user_id => count } }
.reduce({}, :merge)
#TODO include chat?
fbffs = [
apply_score(most_liked_users, LIKE_SCORE),
apply_score(most_liked_by_users, LIKE_SCORE),
apply_score(users_who_most_replied_me, REPLY_SCORE),
apply_score(users_i_most_replied, REPLY_SCORE),
]
fbff_id =
fbffs
.flatten
.inject { |h1, h2| h1.merge(h2) { |_, v1, v2| v1 + v2 } }
&.sort_by { |_, v| -v }
&.first
&.first
return if !fbff_id
{
data: {
fbff: BasicUserSerializer.new(User.find(fbff_id), root: false).as_json,
yourself: BasicUserSerializer.new(user, root: false).as_json,
},
identifier: "fbff",
}
end
def post_query(user, date)
Post
.joins(:topic)
.includes(:topic)
.where(
"posts.post_type IN (?)",
Topic.visible_post_types(user, include_moderator_actions: false),
)
.joins(
"INNER JOIN posts replies ON posts.topic_id = replies.topic_id AND posts.reply_to_post_number = replies.post_number",
)
.joins(
"INNER JOIN topics ON replies.topic_id = topics.id AND topics.archetype <> 'private_message'",
)
.joins(
"AND replies.post_type IN (#{Topic.visible_post_types(user, include_moderator_actions: false).join(",")})",
)
.where("replies.created_at BETWEEN ? AND ?", date.first, date.last)
.where("replies.user_id <> posts.user_id")
end
def like_query(date)
UserAction
.joins(:target_topic, :target_post)
.where(created_at: date)
.where(action_type: UserAction::WAS_LIKED)
end
def apply_score(users, score)
users.map { |user_id, count| { user_id => count * score } }
end
end
end

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@ -1,90 +0,0 @@
# frozen_string_literal: true
# For a most user / received reactions cards
module DiscourseRewind
class Rewind::Action::Reactions < Rewind::Action::BaseReport
FakeData = {
data: {
post_received_reactions: {
"open_mouth" => 2,
"cat" => 32,
"dog" => 34,
"heart" => 45,
"grinning" => 82,
},
post_used_reactions: {
"open_mouth" => 2,
"cat" => 32,
"dog" => 34,
"heart" => 45,
"grinning" => 82,
},
chat_used_reactions: {
"open_mouth" => 2,
"cat" => 32,
"dog" => 34,
"heart" => 45,
"grinning" => 82,
},
chat_received_reactions: {
"open_mouth" => 2,
"cat" => 32,
"dog" => 34,
"heart" => 45,
"grinning" => 82,
},
},
identifier: "reactions",
}
def call
return FakeData if Rails.env.development?
data = {}
if defined?(DiscourseReactions::Reaction)
# This is missing heart reactions (default like)
data[:post_used_reactions] = sort_and_limit(
DiscourseReactions::Reaction
.by_user(user)
.where(created_at: date)
.group(:reaction_value)
.count,
)
data[:post_received_reactions] = sort_and_limit(
DiscourseReactions::Reaction
.includes(:post)
.where(posts: { user_id: user.id })
.where(created_at: date)
.group(:reaction_value)
.count,
)
end
if SiteSetting.chat_enabled
data[:chat_used_reactions] = sort_and_limit(
Chat::MessageReaction.where(user: user).where(created_at: date).group(:emoji).count,
)
data[:chat_received_reactions] = sort_and_limit(
Chat::MessageReaction
.includes(:chat_message)
.where(chat_message: { user_id: user.id })
.where(created_at: date)
.group(:emoji)
.count,
)
end
{ data:, identifier: "reactions" }
end
def enabled?
SiteSetting.discourse_reactions_enabled || SiteSetting.chat_enabled
end
def sort_and_limit(reactions)
reactions.sort_by { |_, v| -v }.first(5).reverse.to_h
end
end
end

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@ -1,200 +0,0 @@
# frozen_string_literal: true
# For showcasing the reading time of a user
# Should we show book covers or just the names?
module DiscourseRewind
class Rewind::Action::ReadingTime < Rewind::Action::BaseReport
FakeData = {
data: {
reading_time: 2_880_000,
book: "The Combined Cosmere works + Wheel of Time",
isbn: "978-0812511819",
series: true,
},
identifier: "reading-time",
}
def call
return FakeData if Rails.env.development?
reading_time = UserVisit.where(user_id: user.id).where(visited_at: date).sum(:time_read)
book = best_book_fit(reading_time)
return if book.nil?
{
data: {
reading_time: reading_time,
book: book[:title],
isbn: book[:isbn],
series: book[:series],
},
identifier: "reading-time",
}
end
def popular_books
{
"The Hunger Games" => {
reading_time: 19_740,
isbn: "978-0439023481",
series: false,
},
"The Metamorphosis" => {
reading_time: 3120,
isbn: "978-0553213690",
series: false,
},
"To Kill a Mockingbird" => {
reading_time: 22_800,
isbn: "978-0061120084",
series: false,
},
"Pride and Prejudice" => {
reading_time: 25_200,
isbn: "978-1503290563",
series: false,
},
"1984" => {
reading_time: 16_800,
isbn: "978-0451524935",
series: false,
},
"The Lord of the Rings" => {
reading_time: 108_000,
isbn: "978-0544003415",
series: true,
},
"Harry Potter and the Sorcerer's Stone" => {
reading_time: 24_600,
isbn: "978-0590353427",
series: true,
},
"The Great Gatsby" => {
reading_time: 12_600,
isbn: "978-0743273565",
series: false,
},
"The Little Prince" => {
reading_time: 5400,
isbn: "978-0156012195",
series: false,
},
"Animal Farm" => {
reading_time: 7200,
isbn: "978-0451526342",
series: false,
},
"The Catcher in the Rye" => {
reading_time: 18_000,
isbn: "978-0316769488",
series: false,
},
"Jane Eyre" => {
reading_time: 34_200,
isbn: "978-0141441146",
series: false,
},
"Fahrenheit 451" => {
reading_time: 15_000,
isbn: "978-1451673319",
series: false,
},
"The Hobbit" => {
reading_time: 27_000,
isbn: "978-0547928227",
series: false,
},
"The Da Vinci Code" => {
reading_time: 37_800,
isbn: "978-0307474278",
series: false,
},
"Little Women" => {
reading_time: 30_000,
isbn: "978-0147514011",
series: false,
},
"One Hundred Years of Solitude" => {
reading_time: 46_800,
isbn: "978-0060883287",
series: false,
},
"And Then There Were None" => {
reading_time: 16_200,
isbn: "978-0062073488",
series: false,
},
"The Alchemist" => {
reading_time: 10_800,
isbn: "978-0061122415",
series: false,
},
"The Hitchhiker's Guide to the Galaxy" => {
reading_time: 12_600,
isbn: "978-0345391803",
series: false,
},
"The Complete works of Shakespeare" => {
reading_time: 180_000,
isbn: "978-1853268953",
series: true,
},
"The Game of Thrones Series" => {
reading_time: 360_000,
isbn: "978-0007477159",
series: true,
},
"Malazan Book of the Fallen" => {
reading_time: 720_000,
isbn: "978-0765348821",
series: true,
},
"Terry Pratchetts Discworld series" => {
reading_time: 1_440_000,
isbn: "978-9123684458",
series: true,
},
"The Wandering Inn web series" => {
reading_time: 2_160_000,
isbn: "the-wandering-inn",
series: true,
},
"The Combined Cosmere works + Wheel of Time" => {
reading_time: 2_880_000,
isbn: "978-0812511819",
series: true,
},
"The Star Trek novels" => {
reading_time: 3_600_000,
isbn: "978-1852860691",
series: true,
},
}.symbolize_keys
end
def best_book_fit(reading_time)
reading_time_rest = reading_time
books = []
while reading_time_rest > 0
best_fit = popular_books.min_by { |_, v| (v[:reading_time] - reading_time_rest).abs }
break if best_fit.nil?
books << best_fit.first
reading_time_rest -= best_fit.last[:reading_time]
end
return if books.empty?
book_title =
books.group_by { |book| book }.transform_values(&:count).max_by { |_, count| count }.first
{
title: book_title,
isbn: popular_books[book_title][:isbn],
series: popular_books[book_title][:series],
}
end
end
end

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