Revert "FEATURE: User sentiment on profile summary page (#329)" (#383)

This reverts commit 71c5077228.

assets/javascripts/discourse/connectors/user-summary-stat/sentiment.hbs

@@ -1,8 +0,0 @@
-<li class="user-summary-stat-outlet sentiment">
-  <span class="value" title={{i18n "discourse_ai.sentiments.summary.title"}}>
-    {{d-icon this.icon}}
-  </span>
-  <span class="label">
-    {{html-safe (i18n "discourse_ai.sentiments.summary.label")}}
-  </span>
-</li>

assets/javascripts/discourse/connectors/user-summary-stat/sentiment.js

@@ -1,26 +0,0 @@
-import Component from "@glimmer/component";
-
-export default class Sentiment extends Component {
-  static shouldRender(outletArgs, helper) {
-    return (
-      helper.siteSettings.ai_sentiment_enabled &&
-      helper.siteSettings.ai_sentiment_show_sentiment_public_profile &&
-      outletArgs.model.sentiment &&
-      helper.currentUser &&
-      helper.currentUser.staff
-    );
-  }
-
-  get icon() {
-    switch (this.args.outletArgs.model.sentiment) {
-      case "positive":
-        return "smile";
-      case "negative":
-        return "frown";
-      case "neutral":
-        return "meh";
-      default:
-        return "meh";
-    }
-  }
-}

config/locales/client.en.yml

@@ -189,10 +189,6 @@ en:
       sentiments:
         dashboard:
           title: "Sentiment"
-        summary:
-          label: "sentiment"
-          title: "Experimental AI-powered sentiment analysis of this person's most recent posts."
-
     review:
       types:
         reviewable_ai_post:

config/locales/server.en.yml

@@ -28,7 +28,6 @@ en:
     ai_sentiment_inference_service_api_endpoint: "URL where the API is running for the sentiment module"
     ai_sentiment_inference_service_api_key: "API key for the sentiment API"
     ai_sentiment_models: "Models to use for inference. Sentiment classifies post on the positive/neutral/negative space. Emotion classifies on the anger/disgust/fear/joy/neutral/sadness/surprise space."
-    ai_sentiment_show_sentiment_public_profile: "Make a user dominant sentiment visible on their public profile."
 
     ai_nsfw_detection_enabled: "Enable the NSFW module."
     ai_nsfw_inference_service_api_endpoint: "URL where the API is running for the NSFW module"

config/settings.yml

@@ -66,9 +66,6 @@ discourse_ai:
     choices:
       - sentiment
       - emotion
-  ai_sentiment_show_sentiment_public_profile:
-    default: true
-    client: true
 
   ai_nsfw_detection_enabled: false
   ai_nsfw_inference_service_api_endpoint:

lib/sentiment/sentiment_classification.rb

@@ -28,8 +28,7 @@ module DiscourseAi
       end
 
       def request(target_to_classify)
-        target_content =
-          DiscourseAi::Tokenizer::BertTokenizer.truncate(content_of(target_to_classify), 500)
+        target_content = content_of(target_to_classify)
 
         available_models.reduce({}) do |memo, model|
           memo[model] = request_with(model, target_content)

lib/tasks/modules/sentiment/backfill.rake

@@ -6,12 +6,9 @@ task "ai:sentiment:backfill", [:start_post] => [:environment] do |_, args|
 
   Post
     .joins("INNER JOIN topics ON topics.id = posts.topic_id")
-    .joins(<<~SQL)
-      LEFT JOIN classification_results ON
-        classification_results.target_id = posts.id AND
-        classification_results.model_used = 'sentiment' AND
-        classification_results.target_type = 'Post'
-    SQL
+    .joins(
+      "LEFT JOIN classification_results ON classification_results.target_id = posts.id AND classification_results.target_type = 'Post'",
+    )
     .where("classification_results.target_id IS NULL")
     .where("posts.id >= ?", args[:start_post].to_i || 0)
     .where("category_id IN (?)", public_categories)
@@ -19,12 +16,8 @@ task "ai:sentiment:backfill", [:start_post] => [:environment] do |_, args|
     .order("posts.id ASC")
     .find_each do |post|
       print "."
-      begin
       DiscourseAi::PostClassificator.new(
         DiscourseAi::Sentiment::SentimentClassification.new,
       ).classify!(post)
-      rescue => e
-        puts "Error: #{e.message}"
-      end
     end
 end

plugin.rb

@@ -33,10 +33,6 @@ Rails.autoloaders.main.push_dir(File.join(__dir__, "lib"), namespace: ::Discours
 
 require_relative "lib/engine"
 
-register_svg_icon "smile"
-register_svg_icon "frown"
-register_svg_icon "meh"
-
 after_initialize do
   # do not autoload this cause we may have no namespace
   require_relative "discourse_automation/llm_triage"
@@ -61,67 +57,6 @@ after_initialize do
     ModelAccuracy.adjust_model_accuracy(new_status, reviewable)
   end
 
-  require_dependency "user_summary"
-  class ::UserSummary
-    def sentiment
-      neutral, positive, negative = DB.query_single(<<~SQL, user_id: @user.id)
-        WITH last_interactions_classified AS (
-          SELECT
-            1 AS total,
-            CASE WHEN (classification::jsonb->'positive')::integer >= 60 THEN 1 ELSE 0 END AS positive,
-            CASE WHEN (classification::jsonb->'negative')::integer >= 60 THEN 1 ELSE 0 END AS negative
-          FROM
-            classification_results AS cr
-          INNER JOIN
-            posts AS p ON
-            p.id = cr.target_id AND
-            cr.target_type = 'Post'
-          INNER JOIN topics AS t ON
-            t.id = p.topic_id
-          INNER JOIN categories AS c ON
-            c.id = t.category_id
-          WHERE
-            model_used = 'sentiment' AND
-            p.user_id = :user_id
-          ORDER BY
-            p.created_at DESC
-          LIMIT
-            100
-        )
-        SELECT
-          SUM(total) - SUM(positive) - SUM(negative) AS neutral,
-          SUM(positive) AS positive,
-          SUM(negative) AS negative
-        FROM
-          last_interactions_classified
-      SQL
-
-      neutral = neutral || 0
-      positive = positive || 0
-      negative = negative || 0
-
-      return nil if neutral + positive + negative < 5
-
-      case [neutral / 5, positive, negative].max
-      when positive
-        :positive
-      when negative
-        :negative
-      else
-        :neutral
-      end
-    end
-  end
-
-  require_dependency "user_summary_serializer"
-  class ::UserSummarySerializer
-    attributes :sentiment
-
-    def sentiment
-      object.sentiment.to_s
-    end
-  end
-
   if Rails.env.test?
     require_relative "spec/support/openai_completions_inference_stubs"
     require_relative "spec/support/anthropic_completion_stubs"