cache fix

2025-01-15 12:06:06 -03:00
115 changed files with 3346 additions and 7864 deletions
@@ -1,3 +0,0 @@
 < 3.6.0.beta1-dev: ca316389b51afeb17a697efaff041e425a0deac6
 < 3.5.0.beta5-dev: cbcbbd2e3316b06c91998c7a0fd493d89ab6d2a5
 < 3.5.0.beta1-dev: b3f205375a2f12287aa3338d8adc1afa98c4bfbb
@@ -1,95 +1,80 @@
 GEM
  remote: https://rubygems.org/
  specs:
-    activesupport (8.0.3)
+    activesupport (7.1.3.3)
      base64
      benchmark (>= 0.3)
      bigdecimal
-      concurrent-ruby (~> 1.0, >= 1.3.1)
+      concurrent-ruby (~> 1.0, >= 1.0.2)
      connection_pool (>= 2.2.5)
      drb
      i18n (>= 1.6, < 2)
      logger (>= 1.4.2)
      minitest (>= 5.1)
-      securerandom (>= 0.3)
+      mutex_m
-      tzinfo (~> 2.0, >= 2.0.5)
+      tzinfo (~> 2.0)
-      uri (>= 0.13.1)
+    ast (2.4.2)
-    ast (2.4.3)
+    base64 (0.2.0)
-    base64 (0.3.0)
+    bigdecimal (3.1.8)
-    benchmark (0.4.1)
+    concurrent-ruby (1.2.3)
-    bigdecimal (3.3.0)
+    connection_pool (2.4.1)
-    concurrent-ruby (1.3.5)
+    drb (2.2.1)
-    connection_pool (2.5.4)
+    i18n (1.14.5)
    drb (2.2.3)
    i18n (1.14.7)
      concurrent-ruby (~> 1.0)
-    json (2.15.1)
+    json (2.7.2)
-    language_server-protocol (3.17.0.5)
+    language_server-protocol (3.17.0.3)
-    lint_roller (1.1.0)
+    minitest (5.23.1)
-    logger (1.7.0)
+    mutex_m (0.2.0)
-    minitest (5.26.0)
+    parallel (1.24.0)
-    parallel (1.27.0)
+    parser (3.3.1.0)
    parser (3.3.9.0)
      ast (~> 2.4.1)
      racc
    prettier_print (1.2.1)
-    prism (1.5.1)
+    racc (1.8.0)
-    racc (1.8.1)
+    rack (3.0.11)
    rack (3.2.3)
    rainbow (3.1.1)
-    regexp_parser (2.11.3)
+    regexp_parser (2.9.2)
-    rubocop (1.81.1)
+    rexml (3.3.9)
    rubocop (1.64.0)
      json (~> 2.3)
-      language_server-protocol (~> 3.17.0.2)
+      language_server-protocol (>= 3.17.0)
      lint_roller (~> 1.1.0)
      parallel (~> 1.10)
      parser (>= 3.3.0.2)
      rainbow (>= 2.2.2, < 4.0)
-      regexp_parser (>= 2.9.3, < 3.0)
+      regexp_parser (>= 1.8, < 3.0)
-      rubocop-ast (>= 1.47.1, < 2.0)
+      rexml (>= 3.2.5, < 4.0)
      rubocop-ast (>= 1.31.1, < 2.0)
      ruby-progressbar (~> 1.7)
-      unicode-display_width (>= 2.4.0, < 4.0)
+      unicode-display_width (>= 2.4.0, < 3.0)
-    rubocop-ast (1.47.1)
+    rubocop-ast (1.31.3)
-      parser (>= 3.3.7.2)
+      parser (>= 3.3.1.0)
-      prism (~> 1.4)
+    rubocop-capybara (2.20.0)
-    rubocop-capybara (2.22.1)
+      rubocop (~> 1.41)
-      lint_roller (~> 1.1)
+    rubocop-discourse (3.8.0)
      rubocop (~> 1.72, >= 1.72.1)
    rubocop-discourse (3.13.3)
      activesupport (>= 6.1)
-      lint_roller (>= 1.1.0)
+      rubocop (>= 1.59.0)
-      rubocop (>= 1.73.2)
+      rubocop-capybara (>= 2.0.0)
-      rubocop-capybara (>= 2.22.0)
+      rubocop-factory_bot (>= 2.0.0)
-      rubocop-factory_bot (>= 2.27.0)
+      rubocop-rails (>= 2.25.0)
-      rubocop-rails (>= 2.30.3)
+      rubocop-rspec (>= 2.25.0)
-      rubocop-rspec (>= 3.0.1)
+    rubocop-factory_bot (2.25.1)
-      rubocop-rspec_rails (>= 2.31.0)
+      rubocop (~> 1.41)
-    rubocop-factory_bot (2.27.1)
+    rubocop-rails (2.25.0)
      lint_roller (~> 1.1)
      rubocop (~> 1.72, >= 1.72.1)
    rubocop-rails (2.33.4)
      activesupport (>= 4.2.0)
      lint_roller (~> 1.1)
      rack (>= 1.1)
-      rubocop (>= 1.75.0, < 2.0)
+      rubocop (>= 1.33.0, < 2.0)
-      rubocop-ast (>= 1.44.0, < 2.0)
+      rubocop-ast (>= 1.31.1, < 2.0)
-    rubocop-rspec (3.7.0)
+    rubocop-rspec (2.29.2)
-      lint_roller (~> 1.1)
+      rubocop (~> 1.40)
-      rubocop (~> 1.72, >= 1.72.1)
+      rubocop-capybara (~> 2.17)
-    rubocop-rspec_rails (2.31.0)
+      rubocop-factory_bot (~> 2.22)
-      lint_roller (~> 1.1)
+      rubocop-rspec_rails (~> 2.28)
-      rubocop (~> 1.72, >= 1.72.1)
+    rubocop-rspec_rails (2.28.3)
-      rubocop-rspec (~> 3.5)
+      rubocop (~> 1.40)
    ruby-progressbar (1.13.0)
-    securerandom (0.4.1)
+    syntax_tree (6.2.0)
    syntax_tree (6.3.0)
      prettier_print (>= 1.2.0)
    tzinfo (2.0.6)
      concurrent-ruby (~> 1.0)
-    unicode-display_width (3.2.0)
+    unicode-display_width (2.5.0)
      unicode-emoji (~> 4.1)
    unicode-emoji (4.1.0)
    uri (1.0.4)
 PLATFORMS
  ruby
@@ -99,4 +84,4 @@ DEPENDENCIES
  syntax_tree
 BUNDLED WITH
-   2.7.2
+   2.5.10
@@ -1,5 +1,7 @@
 # DiscourseRewind
-## DEPRECATED
+Display stats on your last year of Discourse usage.
-This plugin has been moved into Discourse core as at https://github.com/discourse/discourse/pull/36409/
+## Usage
 Navigate to `/my/activity/rewind`
@@ -7,14 +7,13 @@ module ::DiscourseRewind
    requires_login
    def show
-      DiscourseRewind::FetchReports.call(service_params) do
+      DiscourseRewind::Rewind::Fetch.call(service_params) do
-        on_model_not_found(:year) do
+        on_model_not_found(:year) { raise Discourse::NotFound }
-          raise Discourse::NotFound.new(nil, custom_message: "discourse_rewind.invalid_year")
+        on_model_not_found(:user) { raise Discourse::NotFound }
        on_success do |reports:|
          @reports = reports
          render json: MultiJson.dump(reports), status: 200
        end
        on_model_not_found(:reports) do
          raise Discourse::NotFound.new(nil, custom_message: "discourse_rewind.report_failed")
        end
        on_success { |reports:| render json: MultiJson.dump(reports), status: :ok }
      end
    end
  end
@@ -1,43 +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
  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
@@ -1,97 +0,0 @@
 # frozen_string_literal: true
 # AI usage statistics from discourse-ai plugin
 # Shows total usage, favorite features, token consumption, etc.
 # Uses AiApiRequestStat for efficient aggregation queries
 module DiscourseRewind
  module Action
    class AiUsage < BaseReport
      FakeData = {
        data: {
          total_requests: 247,
          total_tokens: 156_890,
          request_tokens: 45_230,
          response_tokens: 111_660,
          feature_usage: {
            "chat_composer_helper" => 89,
            "post_summarizer" => 56,
            "semantic_search" => 42,
            "topic_gist" => 38,
            "similar_topics" => 22,
          },
          model_usage: {
            "gpt-4" => 123,
            "claude-3-5-sonnet" => 89,
            "gpt-3.5-turbo" => 35,
          },
          success_rate: 94.7,
        },
        identifier: "ai-usage",
      }
      def call
        return FakeData if Rails.env.development?
        return if !enabled?
        base_query = AiApiRequestStat.where(user_id: user.id).where(bucket_date: date)
        # Get aggregated stats in a single query
        stats =
          base_query.select(
            "COALESCE(SUM(usage_count), 0) as total_requests",
            "COALESCE(SUM(request_tokens), 0) as total_request_tokens",
            "COALESCE(SUM(response_tokens), 0) as total_response_tokens",
            "COALESCE(SUM(CASE WHEN response_tokens > 0 THEN usage_count ELSE 0 END), 0) as successful_requests",
          ).take
        return if stats.total_requests == 0
        total_tokens = stats.total_request_tokens + stats.total_response_tokens
        success_rate =
          (
            if stats.total_requests > 0
              (stats.successful_requests.to_f / stats.total_requests * 100).round(1)
            else
              0
            end
          )
        # Most used features (top 5)
        feature_usage =
          base_query
            .group(:feature_name)
            .order("SUM(usage_count) DESC")
            .limit(5)
            .pluck(:feature_name, Arel.sql("SUM(usage_count)"))
            .to_h
        # Most used AI model (top 5)
        model_usage =
          base_query
            .where.not(language_model: nil)
            .group(:language_model)
            .order("SUM(usage_count) DESC")
            .limit(5)
            .pluck(:language_model, Arel.sql("SUM(usage_count)"))
            .to_h
        {
          data: {
            total_requests: stats.total_requests,
            total_tokens: total_tokens,
            request_tokens: stats.total_request_tokens,
            response_tokens: stats.total_response_tokens,
            feature_usage: feature_usage,
            model_usage: model_usage,
            success_rate: success_rate,
          },
          identifier: "ai-usage",
        }
      end
      def enabled?
        defined?(AiApiRequestStat) && SiteSetting.discourse_ai_enabled
      end
    end
  end
 end
@@ -1,74 +0,0 @@
 # frozen_string_literal: true
 # Assignment statistics using discourse-assign plugin data
 # Shows how many assignments, completed, pending, etc.
 module DiscourseRewind
  module Action
    class Assignments < BaseReport
      FakeData = {
        data: {
          total_assigned: 24,
          completed: 18,
          pending: 6,
          assigned_by_user: 15,
          completion_rate: 75.0,
        },
        identifier: "assignments",
      }
      def call
        return FakeData if Rails.env.development?
        return if !enabled?
        # Assignments made to the user
        assignments_scope =
          Assignment
            .where(assigned_to_id: user.id, assigned_to_type: "User")
            .where(created_at: date)
        total_assigned = assignments_scope.count
        # Completed assignments (topics that were assigned and then closed or unassigned)
        completed_count =
          assignments_scope
            .joins(:topic)
            .where(
              "topics.closed = true OR assignments.active = false OR assignments.updated_at > assignments.created_at",
            )
            .distinct
            .count
        # Currently pending (still open and assigned)
        pending_count =
          Assignment
            .where(assigned_to_id: user.id, assigned_to_type: "User", active: true)
            .joins(:topic)
            .where(topics: { closed: false })
            .count
        # Assignments made by the user to others
        assigned_by_user =
          Assignment
            .where(assigned_by_user_id: user.id)
            .where(created_at: date)
            .count
        {
          data: {
            total_assigned: total_assigned,
            completed: completed_count,
            pending: pending_count,
            assigned_by_user: assigned_by_user,
            completion_rate:
              total_assigned > 0 ? (completed_count.to_f / total_assigned * 100).round(1) : 0,
          },
          identifier: "assignments",
        }
      end
      def enabled?
        defined?(Assignment) && SiteSetting.assign_enabled
      end
    end
  end
 end
@@ -1,18 +0,0 @@
 # 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
@@ -1,61 +0,0 @@
 # frozen_string_literal: true
 module DiscourseRewind
  module Action
    class BestPosts < BaseReport
      FakeData = {
        data: [
          {
            post_number: 5,
            topic_id: 42,
            like_count: 23,
            reply_count: 8,
            excerpt: "This is a great explanation of how ActiveRecord works under the hood...",
          },
          {
            post_number: 12,
            topic_id: 89,
            like_count: 19,
            reply_count: 5,
            excerpt:
              "Here's a comprehensive guide to testing Rails applications with RSpec and system tests...",
          },
          {
            post_number: 3,
            topic_id: 156,
            like_count: 15,
            reply_count: 12,
            excerpt:
              "The key to understanding PostgreSQL performance is looking at your query plans...",
          },
        ],
        identifier: "best-posts",
      }
      def call
        return FakeData if Rails.env.development?
        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, created_at ASC")
            .limit(3)
            .select(:post_number, :topic_id, :like_count, :reply_count, :raw, :cooked)
            .map do |post|
              {
                post_number: post.post_number,
                topic_id: post.topic_id,
                like_count: post.like_count,
                reply_count: post.reply_count,
                excerpt:
                  post.excerpt(200, { strip_links: true, remap_emoji: true, keep_images: true }),
              }
            end
        { data: best_posts, identifier: "best-posts" }
      end
    end
  end
 end
@@ -1,48 +0,0 @@
 # frozen_string_literal: true
 module DiscourseRewind
  module Action
    class BestTopics < BaseReport
      FakeData = {
        data: [
          {
            topic_id: 1,
            title: "How to get started with Rails",
            excerpt: "A comprehensive guide to getting started with Ruby on Rails...",
            yearly_score: 42.5,
          },
          {
            topic_id: 2,
            title: "Best practices for database optimization",
            excerpt: "Learn how to optimize your database queries for better performance...",
            yearly_score: 38.2,
          },
          {
            topic_id: 3,
            title: "Understanding ActiveRecord associations",
            excerpt: "Deep dive into has_many, belongs_to, and other associations...",
            yearly_score: 35.7,
          },
        ],
        identifier: "best-topics",
      }
      def call
        return FakeData if Rails.env.development?
        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
@@ -1,102 +0,0 @@
 # frozen_string_literal: true
 # Chat usage statistics
 # Shows message counts, favorite channels, DM activity, etc.
 module DiscourseRewind
  module Action
    class ChatUsage < BaseReport
      FakeData = {
        data: {
          total_messages: 342,
          favorite_channels: [
            { channel_id: 1, channel_name: "general", message_count: 156 },
            { channel_id: 2, channel_name: "tech-talk", message_count: 89 },
            { channel_id: 3, channel_name: "random", message_count: 45 },
            { channel_id: 4, channel_name: "dev", message_count: 32 },
            { channel_id: 5, channel_name: "announcements", message_count: 12 },
          ],
          dm_message_count: 87,
          unique_dm_channels: 12,
          messages_with_reactions: 42,
          total_reactions_received: 156,
          avg_message_length: 78.5,
        },
        identifier: "chat-usage",
      }
      def call
        return FakeData if Rails.env.development?
        return if !enabled?
        messages =
          Chat::Message.where(user_id: user.id).where(created_at: date).where(deleted_at: nil)
        total_messages = messages.count
        return if total_messages == 0
        # Get favorite channels (public channels)
        channel_usage =
          messages
            .joins(:chat_channel)
            .where(chat_channels: { type: "CategoryChannel" })
            .group("chat_channels.id", "chat_channels.name")
            .count
            .sort_by { |_, count| -count }
            .first(5)
            .map do |(id, name), count|
              { channel_id: id, channel_name: name, message_count: count }
            end
        # DM statistics
        dm_message_count =
          messages.joins(:chat_channel).where(chat_channels: { type: "DirectMessageChannel" }).count
        # Unique DM conversations
        unique_dm_channels =
          messages
            .joins(:chat_channel)
            .where(chat_channels: { type: "DirectMessageChannel" })
            .distinct
            .count(:chat_channel_id)
        # Messages with reactions received
        messages_with_reactions =
          Chat::MessageReaction
            .joins(:chat_message)
            .where(chat_messages: { user_id: user.id })
            .where(chat_messages: { created_at: date })
            .distinct
            .count(:chat_message_id)
        # Total reactions received
        total_reactions_received =
          Chat::MessageReaction
            .joins(:chat_message)
            .where(chat_messages: { user_id: user.id })
            .where(chat_messages: { created_at: date })
            .count
        # Average message length
        avg_message_length =
          messages.where("LENGTH(message) > 0").average("LENGTH(message)")&.to_f&.round(1) || 0
        {
          data: {
            total_messages: total_messages,
            favorite_channels: channel_usage,
            dm_message_count: dm_message_count,
            unique_dm_channels: unique_dm_channels,
            messages_with_reactions: messages_with_reactions,
            total_reactions_received: total_reactions_received,
            avg_message_length: avg_message_length,
          },
          identifier: "chat-usage",
        }
      end
      def enabled?
        SiteSetting.chat_enabled
      end
    end
  end
 end
@@ -1,162 +0,0 @@
 # frozen_string_literal: true
 # Find the user's most used GIFs in posts and chat
 # Ranks by usage count and engagement (likes/reactions)
 module DiscourseRewind
  module Action
    class FavoriteGifs < BaseReport
      GIF_URL_PATTERN =
        %r{
          https?://[^\s]+\.(?:gif|gifv)
          |
          https?://(?!(?:developers|support|blog)\.) (?:[^/\s]+\.)?giphy\.com/(?!dashboard\b)[^\s]+
          |
          https?://(?!(?:support)\.) (?:[^/\s]+\.)?tenor\.com/(?!gifapi\b)[^\s]+
        }ix
      MAX_RESULTS = 5
      FakeData = {
        data: {
          favorite_gifs: [
            {
              url: "https://media.giphy.com/media/111ebonMs90YLu/giphy.gif",
              usage_count: 12,
              likes: 45,
              reactions: 23,
            },
            {
              url: "https://media.giphy.com/media/JIX9t2j0ZTN9S/giphy.gif",
              usage_count: 8,
              likes: 32,
              reactions: 18,
            },
            {
              url: "https://media1.tenor.com/m/XnODae53zvYAAAAd/joke-stickfigure.gif",
              usage_count: 7,
              likes: 28,
              reactions: 15,
            },
            {
              url: "https://c.tenor.com/tX_T48A14BwAAAAd/khaby-really.gif",
              usage_count: 5,
              likes: 20,
              reactions: 12,
            },
            {
              url: "https://media.giphy.com/media/3oriO0OEd9QIDdllqo/giphy.gif",
              usage_count: 4,
              likes: 15,
              reactions: 8,
            },
          ],
          total_gif_usage: 36,
        },
        identifier: "favorite-gifs",
      }
      def call
        return FakeData if Rails.env.development?
        gif_data = {}
        # Get GIFs from posts
        post_gifs = extract_gifs_from_posts
        post_gifs.each do |url, data|
          gif_data[url] ||= { url: url, usage_count: 0, likes: 0, reactions: 0 }
          gif_data[url][:usage_count] += data[:count]
          gif_data[url][:likes] += data[:likes]
        end
        # Get GIFs from chat messages if chat is enabled
        if SiteSetting.chat_enabled
          chat_gifs = extract_gifs_from_chat
          chat_gifs.each do |url, data|
            gif_data[url] ||= { url: url, usage_count: 0, likes: 0, reactions: 0 }
            gif_data[url][:usage_count] += data[:count]
            gif_data[url][:reactions] += data[:reactions]
          end
        end
        return if gif_data.empty?
        # Sort by engagement score (usage * 10 + likes + reactions)
        sorted_gifs =
          gif_data
            .values
            .sort_by { |gif| -(gif[:usage_count] * 10 + gif[:likes] + gif[:reactions]) }
            .first(MAX_RESULTS)
        {
          data: {
            favorite_gifs: sorted_gifs,
            total_gif_usage: gif_data.values.sum { |g| g[:usage_count] },
          },
          identifier: "favorite-gifs",
        }
      end
      private
      def extract_gifs_from_posts
        gif_usage = {}
        posts =
          Post
            .where(user_id: user.id)
            .where(created_at: date)
            .where(deleted_at: nil)
            .where("raw ~* ?", gif_sql_pattern)
            .select(:id, :raw, :like_count)
        posts.each do |post|
          gif_urls = post.raw.scan(GIF_URL_PATTERN).uniq.select { |url| content_gif_url?(url) }
          gif_urls.each do |url|
            gif_usage[url] ||= { count: 0, likes: 0 }
            gif_usage[url][:count] += 1
            gif_usage[url][:likes] += post.like_count || 0
          end
        end
        gif_usage
      end
      def extract_gifs_from_chat
        gif_usage = {}
        messages =
          Chat::Message
            .where(user_id: user.id)
            .where(created_at: date)
            .where(deleted_at: nil)
            .where("message ~* ?", gif_sql_pattern)
            .select(:id, :message)
        messages.each do |message|
          gif_urls =
            message.message.scan(GIF_URL_PATTERN).uniq.select { |url| content_gif_url?(url) }
          gif_urls.each do |url|
            gif_usage[url] ||= { count: 0, reactions: 0 }
            gif_usage[url][:count] += 1
            # Count reactions on this message
            reaction_count = Chat::MessageReaction.where(chat_message_id: message.id).count
            gif_usage[url][:reactions] += reaction_count
          end
        end
        gif_usage
      end
      def gif_sql_pattern
        @gif_sql_pattern ||= GIF_URL_PATTERN.source.gsub(/\s+/, "")
      end
      def content_gif_url?(url)
        return true if url.match?(/\.(gif|gifv)(?:\?|$)/i)
        return true if url.match?(%r{giphy\.com/(?:gifs?|media|embed|stickers|clips)}i)
        return true if url.match?(%r{tenor\.com/(?:view|watch|embed|gif)}i)
        false
      end
    end
  end
 end
@@ -1,133 +0,0 @@
 # 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
      FakeData = {
        data: {
          fbff: {
            id: 2,
            username: "codingpal",
            name: "Coding Pal",
            avatar_template: "/letter_avatar_proxy/v4/letter/c/3be4f8/{size}.png",
          },
          yourself: {
            id: 1,
            username: "you",
            name: "You",
            avatar_template: "/letter_avatar_proxy/v4/letter/y/f05b48/{size}.png",
          },
        },
        identifier: "fbff",
      }
      def call
        return FakeData if Rails.env.development?
        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
@@ -1,101 +0,0 @@
 # frozen_string_literal: true
 # Invite statistics
 # Shows how many users this user invited and the impact of those invitees
 module DiscourseRewind
  module Action
    class Invites < BaseReport
      FakeData = {
        data: {
          total_invites: 18,
          redeemed_count: 12,
          redemption_rate: 66.7,
          invitee_post_count: 145,
          invitee_topic_count: 23,
          invitee_like_count: 89,
          avg_trust_level: 1.8,
          most_active_invitee: {
            id: 42,
            username: "newbie_123",
            name: "New User",
            avatar_template: "/letter_avatar_proxy/v4/letter/n/8c91d9/{size}.png",
          },
        },
        identifier: "invites",
      }
      def call
        return FakeData if Rails.env.development?
        # Get all invites created by this user in the date range
        invites = Invite.where(invited_by_id: user.id).where(created_at: date)
        total_invites = invites.count
        return if total_invites == 0
        # Redeemed invites (users who actually joined)
        redeemed_count = invites.where("redemption_count > 0").count
        # Get the users who were invited (via InvitedUser or redeemed invites)
        invited_user_ids = InvitedUser.where(invite: invites).pluck(:user_id).compact
        invited_users = User.where(id: invited_user_ids)
        # Calculate impact of invitees
        invitee_post_count =
          Post.where(user_id: invited_user_ids).where(created_at: date).where(deleted_at: nil).count
        invitee_topic_count =
          Topic
            .where(user_id: invited_user_ids)
            .where(created_at: date)
            .where(deleted_at: nil)
            .count
        invitee_like_count =
          UserAction
            .where(user_id: invited_user_ids)
            .where(action_type: UserAction::LIKE)
            .where(created_at: date)
            .count
        # Calculate average trust level of invitees
        avg_trust_level = invited_users.average(:trust_level)&.to_f&.round(1) || 0
        # Most active invitee
        most_active_invitee = nil
        if invited_user_ids.any?
          most_active_id =
            Post
              .where(user_id: invited_user_ids)
              .where(created_at: date)
              .where(deleted_at: nil)
              .group(:user_id)
              .count
              .max_by { |_, count| count }
              &.first
          if most_active_id
            most_active_user = User.find_by(id: most_active_id)
            most_active_invitee =
              BasicUserSerializer.new(most_active_user, root: false).as_json if most_active_user
          end
        end
        {
          data: {
            total_invites: total_invites,
            redeemed_count: redeemed_count,
            redemption_rate:
              total_invites > 0 ? (redeemed_count.to_f / total_invites * 100).round(1) : 0,
            invitee_post_count: invitee_post_count,
            invitee_topic_count: invitee_topic_count,
            invitee_like_count: invitee_like_count,
            avg_trust_level: avg_trust_level,
            most_active_invitee: most_active_invitee,
          },
          identifier: "invites",
        }
      end
    end
  end
 end
@@ -1,40 +0,0 @@
 # frozen_string_literal: true
 # Topics visited grouped by category
 module DiscourseRewind
  module Action
    class MostViewedCategories < BaseReport
      FakeData = {
        data: [
          { category_id: 1, name: "cats" },
          { category_id: 2, name: "dogs" },
          { category_id: 3, name: "countries" },
          { category_id: 4, name: "management" },
        ],
        identifier: "most-viewed-categories",
      }
      def call
        return FakeData if Rails.env.development?
        most_viewed_categories =
          TopicViewItem
            .joins(:topic)
            .joins("INNER JOIN categories ON categories.id = topics.category_id")
            .where(
              user: user,
              viewed_at: date,
              categories: {
                id: user.guardian.allowed_category_ids,
              },
            )
            .group("categories.id, categories.name")
            .order("COUNT(*) DESC")
            .limit(4)
            .pluck("categories.id, categories.name")
            .map { |category_id, name| { category_id: category_id, name: name } }
        { data: most_viewed_categories, identifier: "most-viewed-categories" }
      end
    end
  end
 end
@@ -1,36 +0,0 @@
 # frozen_string_literal: true
 # Topics visited grouped by tag
 module DiscourseRewind
  module Action
    class MostViewedTags < BaseReport
      FakeData = {
        data: [
          { tag_id: 1, name: "cats" },
          { tag_id: 2, name: "dogs" },
          { tag_id: 3, name: "countries" },
          { tag_id: 4, name: "management" },
        ],
        identifier: "most-viewed-tags",
      }
      def call
        return FakeData if Rails.env.development?
        most_viewed_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, viewed_at: date, tags: { id: Tag.visible(user.guardian).pluck(:id) })
            .group("tags.id, tags.name")
            .order("COUNT(DISTINCT topic_views.topic_id) DESC")
            .limit(4)
            .pluck("tags.id, tags.name")
            .map { |tag_id, name| { tag_id: tag_id, name: name } }
        { data: most_viewed_tags, identifier: "most-viewed-tags" }
      end
    end
  end
 end
@@ -1,78 +0,0 @@
 # frozen_string_literal: true
 # Tracks how much this user interacted with new users (created this year)
 # Shows veteran mentorship and community building behavior
 module DiscourseRewind
  module Action
    class NewUserInteractions < BaseReport
      FakeData = {
        data: {
          total_interactions: 127,
          likes_given: 45,
          replies_to_new_users: 62,
          mentions_to_new_users: 20,
          topics_with_new_users: 8,
          unique_new_users: 24,
          new_users_count: 156,
        },
        identifier: "new-user-interactions",
      }
      def call
        return FakeData if Rails.env.development?
        year_start = Date.new(date.first.year, 1, 1)
        # Find users who created accounts this year
        new_user_ids =
          User
            .real
            .where("created_at >= ? AND created_at <= ?", year_start, date.last)
            .where("id != ?", user.id)
            .pluck(:id)
        return if new_user_ids.empty?
        # Count likes given to new users
        liked_user_ids =
          UserAction
            .where(
              acting_user_id: user.id,
              user_id: new_user_ids,
              action_type: UserAction::WAS_LIKED,
            )
            .where(created_at: date)
            .distinct
            .pluck(:user_id)
        # Count replies to new users' posts
        replied_user_ids =
          Post
            .joins(
              "INNER JOIN posts AS parent_posts ON posts.reply_to_post_number = parent_posts.post_number AND posts.topic_id = parent_posts.topic_id",
            )
            .where(posts: { user_id: user.id, deleted_at: nil, created_at: date })
            .where("parent_posts.user_id": new_user_ids)
            .distinct
            .pluck("parent_posts.user_id")
        # Count direct mentions to new users
        mentioned_user_ids =
          Post
            .joins(
              "INNER JOIN user_actions ON user_actions.target_post_id = posts.id AND user_actions.action_type = #{UserAction::MENTION}",
            )
            .where(posts: { user_id: user.id, deleted_at: nil, created_at: date })
            .where(user_actions: { user_id: new_user_ids })
            .distinct
            .pluck("user_actions.user_id")
        # Unique new users interacted with
        unique_new_users = (liked_user_ids + replied_user_ids + mentioned_user_ids).uniq.count
        return if unique_new_users == 0
        { data: { unique_new_users: unique_new_users }, identifier: "new-user-interactions" }
      end
    end
  end
 end
@@ -1,92 +0,0 @@
 # 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 { |_, value| -value }.take(5).reverse.to_h
      end
    end
  end
 end
@@ -1,145 +0,0 @@
 # frozen_string_literal: true
 # Time of day activity analysis
 # Shows when a user is most active (considering their timezone)
 # Determines if they are a night owl or early bird
 module DiscourseRewind
  module Action
    class TimeOfDayActivity < BaseReport
      EARLY_BIRD_THRESHOLD = 6..9
      NIGHT_OWL_THRESHOLD_PM = 22..23
      NIGHT_OWL_THRESHOLD_AM = 0..2
      FakeData = {
        data: {
          activity_by_hour: {
            0 => 12,
            1 => 8,
            2 => 5,
            3 => 2,
            4 => 1,
            5 => 3,
            6 => 8,
            7 => 15,
            8 => 25,
            9 => 32,
            10 => 28,
            11 => 24,
            12 => 22,
            13 => 20,
            14 => 26,
            15 => 30,
            16 => 28,
            17 => 22,
            18 => 18,
            19 => 16,
            20 => 14,
            21 => 18,
            22 => 22,
            23 => 15,
          },
          most_active_hour: 9,
          personality: {
            type: "early_bird",
            percentage: 28.5,
          },
          total_activities: 414,
        },
        identifier: "time-of-day-activity",
      }
      def call
        return FakeData if Rails.env.development?
        # Get activity by hour of day (in user's timezone)
        activity_by_hour = get_activity_by_hour
        return if activity_by_hour.empty?
        total_activities = activity_by_hour.values.sum
        most_active_hour = activity_by_hour.max_by { |_, count| count }&.first
        personality = determine_personality(activity_by_hour, total_activities)
        {
          data: {
            activity_by_hour: activity_by_hour,
            most_active_hour: most_active_hour,
            personality: personality,
            total_activities: total_activities,
          },
          identifier: "time-of-day-activity",
        }
      end
      private
      def get_activity_by_hour
        # Get user timezone offset
        user_timezone = user.user_option&.timezone || "UTC"
        quoted_timezone = ActiveRecord::Base.connection.quote(user_timezone)
        hour_extract_sql =
          Arel.sql(
            "EXTRACT(HOUR FROM created_at AT TIME ZONE 'UTC' AT TIME ZONE #{quoted_timezone})::integer",
          )
        # Initialize hash with all hours
        activity = (0..23).to_h { |hour| [hour, 0] }
        # Posts created
        post_hours =
          Post
            .where(user_id: user.id)
            .where(created_at: date)
            .where(deleted_at: nil)
            .pluck(hour_extract_sql)
            .tally
        # User visits (page views)
        visit_hours =
          UserHistory
            .where(acting_user_id: user.id)
            .where(created_at: date)
            .where(action: UserHistory.actions[:page_view])
            .pluck(hour_extract_sql)
            .tally
        # Chat messages if chat is enabled
        if SiteSetting.chat_enabled
          chat_hours =
            Chat::Message
              .where(user_id: user.id)
              .where(created_at: date)
              .where(deleted_at: nil)
              .pluck(hour_extract_sql)
              .tally
          chat_hours.each { |hour, count| activity[hour] += count }
        end
        post_hours.each { |hour, count| activity[hour] += count }
        visit_hours.each { |hour, count| activity[hour] += count }
        activity
      end
      def determine_personality(activity_by_hour, total_activities)
        return nil if total_activities == 0
        early_bird_activity = EARLY_BIRD_THRESHOLD.sum { |hour| activity_by_hour[hour] || 0 }
        night_owl_activity =
          NIGHT_OWL_THRESHOLD_PM.sum { |hour| activity_by_hour[hour] || 0 } +
            NIGHT_OWL_THRESHOLD_AM.sum { |hour| activity_by_hour[hour] || 0 }
        early_bird_percentage = (early_bird_activity.to_f / total_activities * 100).round(1)
        night_owl_percentage = (night_owl_activity.to_f / total_activities * 100).round(1)
        if early_bird_percentage > 20
          { type: "early_bird", percentage: early_bird_percentage }
        elsif night_owl_percentage > 20
          { type: "night_owl", percentage: night_owl_percentage }
        else
          { type: "balanced", percentage: 0 }
        end
      end
    end
  end
 end
@@ -1,115 +0,0 @@
 # frozen_string_literal: true
 module DiscourseRewind
  module Action
    class WritingAnalysis < BaseReport
      FakeData = {
        data: {
          total_words: 45_230,
          total_posts: 197,
          average_post_length: 230,
          readability_score: 65.4,
        },
        identifier: "writing-analysis",
      }
      def call
        return FakeData if Rails.env.development?
        total_words =
          DB.query_single(<<~SQL, user_id: user.id, date_start: date.first, date_end: date.last)
          SELECT SUM(word_count) FROM posts
          WHERE user_id = :user_id
          AND created_at BETWEEN :date_start AND :date_end
          AND deleted_at IS NULL
        SQL
        post_count =
          DB.query_single(<<~SQL, user_id: user.id, date_start: date.first, date_end: date.last)
          SELECT COUNT(*) FROM posts
          WHERE user_id = :user_id
          AND created_at BETWEEN :date_start AND :date_end
          AND deleted_at IS NULL
        SQL
        average_post_length =
          post_count.first > 0 ? (total_words.first.to_f / post_count.first).round(2) : 0
        # Calculated using the Flesch Reading Ease formula,
        # with an approximation for syllables since this can
        # be tricky to get right in SQL.
        #
        # Tries to handle short sentences or ones without delmiters
        # and ending with emojis by treating them as a single sentence.
        readability_score =
          DB.query_single(<<~SQL, user_id: user.id, start: date.first, end: date.last)
          WITH cleaned AS (
            SELECT
              p.id AS post_id,
              p.user_id,
              p.created_at,
              p.word_count,
              regexp_replace(p.cooked, '<[^>]+>', ' ', 'g') AS plain
            FROM posts p
            WHERE p.user_id = :user_id
              AND p.created_at BETWEEN :start AND :end
          ),
          metrics AS (
            SELECT
              post_id,
              user_id,
              created_at,
              plain,
              word_count AS words,
              regexp_count(plain, '[.!?;:](\s|$)')                   AS sentences_raw,
              regexp_count(lower(plain), '[aeiouy]+')                AS syllables
            FROM cleaned
          ),
          scores AS (
            SELECT
              post_id,
              user_id,
              created_at,
              words,
              syllables,
              plain,
              CASE 
                WHEN sentences_raw = 0 AND words > 5 THEN 1
                ELSE sentences_raw
              END AS sentences_fixed,
              -- Flesch Reading Ease formula
              CASE
                WHEN words = 0 THEN NULL
                WHEN (CASE WHEN sentences_raw = 0 AND words > 5 THEN 1 ELSE sentences_raw END) = 0 THEN NULL
                ELSE (
                  206.835
                  - 1.015 * (
                      words::float /
                      (CASE WHEN sentences_raw = 0 AND words > 5 THEN 1 ELSE sentences_raw END)
                    )
                  - 84.6  * (syllables::float / words)
                )
              END AS readability_score
            FROM metrics
          )
          SELECT AVG(readability_score) AS avg_readability_score
          FROM scores
          GROUP BY user_id;
        SQL
        {
          data: {
            total_words: total_words.first,
            total_posts: post_count.first,
            average_post_length: average_post_length,
            readability_score: readability_score.first,
          },
          identifier: "writing-analysis",
        }
      end
    end
  end
 end
@@ -1,91 +0,0 @@
 # frozen_string_literal: true
 module DiscourseRewind
  # Service responsible to fetch a rewind for a username/year.
  #
  # @example
  #  ::DiscourseRewind::Rewind::Fetch.call(
  #    guardian: guardian,
  #    params: { year: 2023, username: 'codinghorror' }
  #  )
  #
  class FetchReports
    include Service::Base
    # @!method self.call(guardian:, params:)
    #   @param [Guardian] guardian
    #   @param [Hash] params
    #   @option params [Integer] :year of the rewind
    #   @option params [Integer] :username of the rewind
    #   @return [Service::Base::Context]
    CACHE_DURATION = Rails.env.development? ? 10.seconds : 5.minutes
    # order matters
    REPORTS = [
      Action::TopWords,
      Action::ReadingTime,
      Action::WritingAnalysis,
      Action::Reactions,
      Action::Fbff,
      Action::MostViewedTags,
      Action::MostViewedCategories,
      Action::BestTopics,
      Action::BestPosts,
      Action::ActivityCalendar,
      Action::TimeOfDayActivity,
      Action::NewUserInteractions,
      Action::ChatUsage,
      Action::AiUsage,
      Action::FavoriteGifs,
      Action::Assignments,
      Action::Invites,
    ]
    model :year
    model :date
    model :reports
    private
    def fetch_year
      current_date = Time.zone.now
      current_month = current_date.month
      current_year = current_date.year
      case current_month
      when 1
        current_year - 1
      when 12
        current_year
      else
        # Otherwise it's impossible to test in browser unless you're
        # in December or January
        if Rails.env.development?
          current_year
        else
          false
        end
      end
    end
    def fetch_date(params:, year:)
      Date.new(year).all_year
    end
    def fetch_reports(date:, guardian:, year:)
      key = "rewind:#{guardian.user.username}:#{year}"
      reports = Discourse.redis.get(key)
      if !reports
        reports =
          REPORTS.map { |report| report.call(date:, user: guardian.user, guardian:) }.compact
        Discourse.redis.setex(key, CACHE_DURATION, MultiJson.dump(reports))
      else
        reports = MultiJson.load(reports, symbolize_keys: true)
      end
      reports
    end
  end
 end
@@ -0,0 +1,47 @@
 # 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: date.strftime("%Y-%m-%d"), 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 do |row|
            {
              date: row.date.strftime("%Y-%m-%d"),
              post_count: row.post_count,
              visited: row.visited,
            }
          end
      { data: calendar, identifier: "activity-calendar" }
    end
  end
 end
@@ -0,0 +1,16 @@
 # 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
@@ -0,0 +1,19 @@
 # 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
@@ -0,0 +1,21 @@
 # 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
@@ -0,0 +1,34 @@
 # 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
@@ -0,0 +1,36 @@
 # 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
@@ -0,0 +1,112 @@
 # 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
@@ -0,0 +1,90 @@
 # 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
@@ -3,14 +3,78 @@
 # For showcasing the reading time of a user
 # Should we show book covers or just the names?
 module DiscourseRewind
-  module Action
+  class Rewind::Action::ReadingTime < Rewind::Action::BaseReport
-    class ReadingTime < BaseReport
+    FakeData = {
-      POPULAR_BOOKS = {
+      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",
@@ -21,90 +85,55 @@ module DiscourseRewind
          isbn: "978-0451526342",
          series: false,
        },
        "The Alchemist" => {
          reading_time: 10_800,
          isbn: "978-0061122415",
          series: false,
        },
        "The Great Gatsby" => {
          reading_time: 12_600,
          isbn: "978-0743273565",
          series: false,
        },
        "The Hitchhiker's Guide to the Galaxy" => {
          reading_time: 12_600,
          isbn: "978-0345391803",
          series: false,
        },
        "Fahrenheit 451" => {
          reading_time: 15_000,
          isbn: "978-1451673319",
          series: false,
        },
        "And Then There Were None" => {
          reading_time: 16_200,
          isbn: "978-0062073488",
          series: false,
        },
        "1984" => {
          reading_time: 16_800,
          isbn: "978-0451524935",
          series: false,
        },
        "The Catcher in the Rye" => {
          reading_time: 18_000,
          isbn: "978-0316769488",
          series: false,
        },
        "The Hunger Games" => {
          reading_time: 19_740,
          isbn: "978-0439023481",
          series: false,
        },
        "To Kill a Mockingbird" => {
          reading_time: 22_800,
          isbn: "978-0061120084",
          series: false,
        },
        "Harry Potter and the Sorcerer's Stone" => {
          reading_time: 24_600,
          isbn: "978-0590353427",
          series: true,
        },
        "Pride and Prejudice" => {
          reading_time: 25_200,
          isbn: "978-1503290563",
          series: false,
        },
        "The Hobbit" => {
          reading_time: 27_000,
          isbn: "978-0547928227",
          series: false,
        },
        "Little Women" => {
          reading_time: 30_000,
          isbn: "978-0147514011",
          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,
        },
-        "The Lord of the Rings" => {
+        "And Then There Were None" => {
-          reading_time: 108_000,
+          reading_time: 16_200,
-          isbn: "978-0544003415",
+          isbn: "978-0062073488",
-          series: true,
+          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,
@@ -121,7 +150,7 @@ module DiscourseRewind
          isbn: "978-0765348821",
          series: true,
        },
-        "Terry Pratchett's Discworld series" => {
+        "Terry Pratchett’s Discworld series" => {
          reading_time: 1_440_000,
          isbn: "978-9123684458",
          series: true,
@@ -142,46 +171,30 @@ module DiscourseRewind
          series: true,
        },
      }.symbolize_keys
    end
-      FakeData = {
+    def best_book_fit(reading_time)
-        data: {
+      reading_time_rest = reading_time
-          reading_time: 2_880_000,
+      books = []
-          book: "The Combined Cosmere works + Wheel of Time",
+
-          isbn: "978-0812511819",
+      while reading_time_rest > 0
-          series: true,
+        best_fit = popular_books.min_by { |_, v| (v[:reading_time] - reading_time_rest).abs }
-        },
+        break if best_fit.nil?
-        identifier: "reading-time",
+
        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],
      }
      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].to_s,
            isbn: book[:isbn],
            series: book[:series],
          },
          identifier: "reading-time",
        }
      end
      def best_book_fit(reading_time)
        best_fit =
          POPULAR_BOOKS
            .select { |_, v| v[:reading_time] > reading_time }
            .min_by { |_, v| v[:reading_time] }
        return if best_fit.nil?
        { title: best_fit.first, isbn: best_fit.last[:isbn], series: best_fit.last[:series] }
      end
    end
  end
 end
--- a/Show More
+++ b/Show More