DEV: Use existing topic embeddings when suggesting tags/categories on edit

app/controllers/discourse_ai/ai_helper/assistant_controller.rb

@@ -78,22 +78,26 @@ def suggest_title
       end
 
       def suggest_category
-        input = get_text_param!
-        input_hash = { text: input }
+        if params[:topic_id]
+          opts = { topic_id: params[:topic_id] }
+        else
+          input = get_text_param!
+          opts = { text: input }
+        end
 
-        render json:
-                 DiscourseAi::AiHelper::SemanticCategorizer.new(
-                   input_hash,
-                   current_user,
-                 ).categories,
+        render json: DiscourseAi::AiHelper::SemanticCategorizer.new(current_user, opts).categories,
                status: 200
       end
 
       def suggest_tags
-        input = get_text_param!
-        input_hash = { text: input }
+        if params[:topic_id]
+          opts = { topic_id: params[:topic_id] }
+        else
+          input = get_text_param!
+          opts = { text: input }
+        end
 
-        render json: DiscourseAi::AiHelper::SemanticCategorizer.new(input_hash, current_user).tags,
+        render json: DiscourseAi::AiHelper::SemanticCategorizer.new(current_user, opts).tags,
                status: 200
       end
 

assets/javascripts/discourse/components/suggestion-menus/ai-category-suggester.gjs

@@ -20,27 +20,13 @@ export default class AiCategorySuggester extends Component {
   @tracked untriggers = [];
   @tracked triggerIcon = "discourse-sparkles";
   @tracked content = null;
-  @tracked topicContent = null;
-
-  constructor() {
-    super(...arguments);
-    if (!this.topicContent && this.args.composer?.reply === undefined) {
-      this.fetchTopicContent();
-    }
-  }
-
-  async fetchTopicContent() {
-    await ajax(`/t/${this.args.buffered.content.id}.json`).then(
-      ({ post_stream }) => {
-        this.topicContent = post_stream.posts[0].cooked;
-      }
-    );
-  }
 
   get showSuggestionButton() {
     const composerFields = document.querySelector(".composer-fields");
-    this.content = this.args.composer?.reply || this.topicContent;
-    const showTrigger = this.content?.length > MIN_CHARACTER_COUNT;
+    this.content = this.args.composer?.reply;
+    const showTrigger =
+      this.content?.length > MIN_CHARACTER_COUNT ||
+      this.args.topicState === "edit";
 
     if (composerFields) {
       if (showTrigger) {
@@ -62,12 +48,20 @@ export default class AiCategorySuggester extends Component {
     this.loading = true;
     this.triggerIcon = "spinner";
 
+    const data = {};
+
+    if (this.content) {
+      data.text = this.content;
+    } else {
+      data.topic_id = this.args.buffered.content.id;
+    }
+
     try {
       const { assistant } = await ajax(
         "/discourse-ai/ai-helper/suggest_category",
         {
           method: "POST",
-          data: { text: this.content },
+          data,
         }
       );
       this.suggestions = assistant;

assets/javascripts/discourse/components/suggestion-menus/ai-tag-suggester.gjs

@@ -21,27 +21,13 @@ export default class AiTagSuggester extends Component {
   @tracked untriggers = [];
   @tracked triggerIcon = "discourse-sparkles";
   @tracked content = null;
-  @tracked topicContent = null;
-
-  constructor() {
-    super(...arguments);
-    if (!this.topicContent && this.args.composer?.reply === undefined) {
-      this.fetchTopicContent();
-    }
-  }
-
-  async fetchTopicContent() {
-    await ajax(`/t/${this.args.buffered.content.id}.json`).then(
-      ({ post_stream }) => {
-        this.topicContent = post_stream.posts[0].cooked;
-      }
-    );
-  }
 
   get showSuggestionButton() {
     const composerFields = document.querySelector(".composer-fields");
-    this.content = this.args.composer?.reply || this.topicContent;
-    const showTrigger = this.content?.length > MIN_CHARACTER_COUNT;
+    this.content = this.args.composer?.reply;
+    const showTrigger =
+      this.content?.length > MIN_CHARACTER_COUNT ||
+      this.args.topicState === "edit";
 
     if (composerFields) {
       if (showTrigger) {
@@ -74,15 +60,25 @@ export default class AiTagSuggester extends Component {
     this.loading = true;
     this.triggerIcon = "spinner";
 
+    const data = {};
+
+    if (this.content) {
+      data.text = this.content;
+    } else {
+      data.topic_id = this.args.buffered.content.id;
+    }
+
     try {
       const { assistant } = await ajax("/discourse-ai/ai-helper/suggest_tags", {
         method: "POST",
-        data: { text: this.content },
+        data,
       });
       this.suggestions = assistant;
+
       const model = this.args.composer
         ? this.args.composer
         : this.args.buffered;
+
       if (this.#tagSelectorHasValues()) {
         this.suggestions = this.suggestions.filter(
           (s) => !model.get("tags").includes(s.name)

assets/javascripts/discourse/connectors/after-composer-category-input/ai-category-suggestion.gjs

@@ -13,6 +13,6 @@ export default class AiCategorySuggestion extends Component {
   }
 
   <template>
-    <AiCategorySuggester @composer={{@outletArgs.composer}} />
+    <AiCategorySuggester @composer={{@outletArgs.composer}} @topicState="new" />
   </template>
 }

assets/javascripts/discourse/connectors/after-composer-tag-input/ai-tag-suggestion.gjs

@@ -13,6 +13,6 @@ export default class AiTagSuggestion extends Component {
   }
 
   <template>
-    <AiTagSuggester @composer={{@outletArgs.composer}} />
+    <AiTagSuggester @composer={{@outletArgs.composer}} @topicState="new" />
   </template>
 }

assets/javascripts/discourse/connectors/edit-topic-category__after/ai-category-suggestion.gjs

@@ -13,6 +13,9 @@ export default class AiCategorySuggestion extends Component {
   }
 
   <template>
-    <AiCategorySuggester @buffered={{@outletArgs.buffered}} />
+    <AiCategorySuggester
+      @buffered={{@outletArgs.buffered}}
+      @topicState="edit"
+    />
   </template>
 }

assets/javascripts/discourse/connectors/edit-topic-tags__after/ai-tag-suggestion.gjs

@@ -13,6 +13,6 @@ export default class AiCategorySuggestion extends Component {
   }
 
   <template>
-    <AiTagSuggester @buffered={{@outletArgs.buffered}} />
+    <AiTagSuggester @buffered={{@outletArgs.buffered}} @topicState="edit" />
   </template>
 }

lib/ai_helper/semantic_categorizer.rb

@@ -2,15 +2,16 @@
 module DiscourseAi
   module AiHelper
     class SemanticCategorizer
-      def initialize(input, user)
+      def initialize(user, opts)
         @user = user
-        @text = input[:text]
+        @text = opts[:text]
         @vector = DiscourseAi::Embeddings::Vector.instance
         @schema = DiscourseAi::Embeddings::Schema.for(Topic)
+        @topic_id = opts[:topic_id]
       end
 
       def categories
-        return [] if @text.blank?
+        return [] if @text.blank? && @topic_id.nil?
         return [] if !DiscourseAi::Embeddings.enabled?
 
         candidates = nearest_neighbors
@@ -55,7 +56,7 @@ def categories
       end
 
       def tags
-        return [] if @text.blank?
+        return [] if @text.blank? && @topic_id.nil?
         return [] if !DiscourseAi::Embeddings.enabled?
 
         candidates = nearest_neighbors(limit: 100)
@@ -100,7 +101,23 @@ def tags
       private
 
       def nearest_neighbors(limit: 50)
-        raw_vector = @vector.vector_from(@text)
+        if @topic_id
+          target = Topic.find_by(id: @topic_id)
+          embeddings = @schema.find_by_target(target)&.embeddings
+
+          if embeddings.blank?
+            @text =
+              DiscourseAi::Summarization::Strategies::TopicSummary
+                .new(target)
+                .targets_data
+                .pluck(:text)
+            raw_vector = @vector.vector_from(@text)
+          else
+            raw_vector = JSON.parse(embeddings)
+          end
+        else
+          raw_vector = @vector.vector_from(@text)
+        end
 
         muted_category_ids = nil
         if @user.present?

spec/lib/modules/ai_helper/semantic_categorizer_spec.rb

@@ -16,7 +16,7 @@
   fab!(:topic) { Fabricate(:topic, category: category) }
 
   let(:vector) { DiscourseAi::Embeddings::Vector.instance }
-  let(:categorizer) { DiscourseAi::AiHelper::SemanticCategorizer.new({ text: "hello" }, user) }
+  let(:categorizer) { DiscourseAi::AiHelper::SemanticCategorizer.new(user, { text: "hello" }) }
   let(:expected_embedding) { [0.0038493] * vector.vdef.dimensions }
 
   before do