DEV: Fix various typos (#434)

assets/javascripts/discourse/connectors/after-d-editor/composer-open.js

@@ -34,10 +34,10 @@ export default class extends Component {
       this.composerModel.targetRecipients &&
       this.currentUser.ai_enabled_chat_bots
     ) {
-      let reciepients = this.composerModel.targetRecipients.split(",");
+      let recipients = this.composerModel.targetRecipients.split(",");
 
       return this.currentUser.ai_enabled_chat_bots.any((bot) =>
-        reciepients.any((username) => username === bot.username)
+        recipients.any((username) => username === bot.username)
       );
     }
     return false;

db/migrate/20231202013850_convert_ai_personas_commands_to_json.rb

@@ -4,7 +4,7 @@ class ConvertAiPersonasCommandsToJson < ActiveRecord::Migration[7.0]
     # this all may be a bit surprising, but interestingly this makes all our backend code
     # cross compatible
     # upgrading ["a", "b", "c"] to json simply works cause in both cases
-    # rails will cast to a string array and all code simply expectes a string array
+    # rails will cast to a string array and all code simply expects a string array
     #
     # this change was made so we can also start storing parameters with the commands
     execute <<~SQL

lib/ai_bot/bot.rb

@@ -71,7 +71,7 @@ module DiscourseAi
                 tool_message = { type: :tool, id: tool_call_id, content: invocation_result_json }
 
                 if tool.standalone?
-                  standalone_conext =
+                  standalone_context =
                     context.dup.merge(
                       conversation_context: [
                         context[:conversation_context].last,
@@ -79,7 +79,7 @@ module DiscourseAi
                         tool_message,
                       ],
                     )
-                  prompt = persona.craft_prompt(standalone_conext)
+                  prompt = persona.craft_prompt(standalone_context)
                 else
                   prompt.push(**tool_call_message)
                   prompt.push(**tool_message)

lib/ai_bot/personas/artist.rb

@@ -22,7 +22,7 @@ module DiscourseAi
             - You can specify subject, medium (e.g. oil on canvas), artist (person who drew it or photographed it)
             - You can specify details about lighting or time of day.
             - You can specify a particular website you would like to emulate (artstation or deviantart)
-            - You can specify additional details such as "beutiful, dystopian, futuristic, etc."
+            - You can specify additional details such as "beautiful, dystopian, futuristic, etc."
             - Prompts should generally be 10-20 words long
             - Do not include any connector words such as "and" or "but" etc.
             - You are extremely creative, when given short non descriptive prompts from a user you add your own details

lib/ai_bot/tools/db_schema.rb

@@ -12,7 +12,7 @@ module DiscourseAi
               {
                 name: "tables",
                 description:
-                  "list of tables to load schema information for, comma seperated list eg: (users,posts))",
+                  "list of tables to load schema information for, comma separated list eg: (users,posts))",
                 type: "string",
                 required: true,
               },

lib/ai_bot/tools/search.rb

@@ -16,7 +16,7 @@ module DiscourseAi
                 {
                   name: "search_query",
                   description:
-                    "Specific keywords to search for, space seperated (correct bad spelling, remove connector words)",
+                    "Specific keywords to search for, space separated (correct bad spelling, remove connector words)",
                   type: "string",
                 },
                 {

lib/ai_bot/tools/summarize.rb

@@ -148,13 +148,13 @@ module DiscourseAi
             progress << "."
             progress_blk.call(progress)
 
-            contatenation_prompt = {
+            concatenation_prompt = {
               insts: "You are a helpful bot",
               input:
                 "concatenated the disjoint summaries, creating a cohesive narrative:\n#{summaries.join("\n")}}",
             }
 
-            llm.generate(contatenation_prompt, temperature: 0.6, max_tokens: 500, user: bot_user)
+            llm.generate(concatenation_prompt, temperature: 0.6, max_tokens: 500, user: bot_user)
           else
             summaries.first
           end

lib/ai_helper/painter.rb

@@ -10,7 +10,7 @@ module DiscourseAi
         attribution = "discourse_ai.ai_helper.painter.attribution.#{model}"
 
         if model == "stable_diffusion_xl"
-          stable_diffusion_prompt = difussion_prompt(input, user)
+          stable_diffusion_prompt = diffusion_prompt(input, user)
           return [] if stable_diffusion_prompt.blank?
 
           artifacts =
@@ -56,7 +56,7 @@ module DiscourseAi
         end
       end
 
-      def difussion_prompt(text, user)
+      def diffusion_prompt(text, user)
         prompt =
           DiscourseAi::Completions::Prompt.new(
             <<~TEXT.strip,

lib/automation/report_runner.rb

@@ -24,7 +24,7 @@ module DiscourseAi
 
         - Key statistics: Specify date range, call out important stats like number of new topics and posts
         - Overview: Briefly state trends within period.
-        - Highlighted content: 5 paragaraphs highlighting important topics people should know about. If possible have each paragraph link to multiple related topics.
+        - Highlighted content: 5 paragraphs highlighting important topics people should know about. If possible have each paragraph link to multiple related topics.
         - Key insights and trends linking to a selection of posts that back them
         TEXT
       end

lib/completions/llm.rb

@@ -3,7 +3,7 @@
 # A facade that abstracts multiple LLMs behind a single interface.
 #
 # Internally, it consists of the combination of a dialect and an endpoint.
-# After recieving a prompt using our generic format, it translates it to
+# After receiving a prompt using our generic format, it translates it to
 # the target model and routes the completion request through the correct gateway.
 #
 # Use the .proxy method to instantiate an object.

lib/inference/stability_generator.rb

@@ -23,7 +23,7 @@ module ::DiscourseAi
           "Authorization" => "Bearer #{api_key}",
         }
 
-        sdxl_allowed_dimentions = [
+        sdxl_allowed_dimensions = [
           [1024, 1024],
           [1152, 896],
           [1216, 832],
@@ -37,7 +37,7 @@ module ::DiscourseAi
 
         if (!width && !height)
           if engine.include? "xl"
-            width, height = sdxl_allowed_dimentions[0]
+            width, height = sdxl_allowed_dimensions[0]
           else
             width, height = [512, 512]
           end

lib/nsfw/classification.rb

@@ -70,8 +70,8 @@ module DiscourseAi
         target_to_classify.uploads.to_a.select { |u| FileHelper.is_supported_image?(u.url) }
       end
 
-      def opennsfw2_verdict?(clasification)
-        clasification.values.first.to_i >= SiteSetting.ai_nsfw_flag_threshold_general
+      def opennsfw2_verdict?(classification)
+        classification.values.first.to_i >= SiteSetting.ai_nsfw_flag_threshold_general
       end
 
       def nsfw_detector_verdict?(classification)

lib/summarization/entry_point.rb

@@ -25,13 +25,13 @@ module DiscourseAi
           plugin.register_summarization_strategy(Strategies::FoldContent.new(model))
         end
 
-        truncable_models = [
+        truncatable_models = [
           Models::Discourse.new("long-t5-tglobal-base-16384-book-summary", max_tokens: 16_384),
           Models::Discourse.new("bart-large-cnn-samsum", max_tokens: 1024),
           Models::Discourse.new("flan-t5-base-samsum", max_tokens: 512),
         ]
 
-        truncable_models.each do |model|
+        truncatable_models.each do |model|
           plugin.register_summarization_strategy(Strategies::TruncateContent.new(model))
         end
       end

spec/lib/completions/endpoints/anthropic_spec.rb

@@ -87,7 +87,7 @@ RSpec.describe DiscourseAi::Completions::Endpoints::Anthropic do
       end
 
       context "with tools" do
-        it "returns a function invoncation" do
+        it "returns a function invocation" do
           compliance.streaming_mode_tools(anthropic_mock)
         end
       end

spec/lib/completions/endpoints/aws_bedrock_spec.rb

@@ -112,7 +112,7 @@ RSpec.describe DiscourseAi::Completions::Endpoints::AwsBedrock do
       end
 
       context "with tools" do
-        it "returns a function invoncation" do
+        it "returns a function invocation" do
           compliance.streaming_mode_tools(bedrock_mock)
         end
       end

spec/lib/completions/endpoints/gemini_spec.rb

@@ -161,7 +161,7 @@ RSpec.describe DiscourseAi::Completions::Endpoints::Gemini do
       end
 
       context "with tools" do
-        it "returns a function invoncation" do
+        it "returns a function invocation" do
           compliance.streaming_mode_tools(bedrock_mock)
         end
       end

spec/lib/completions/endpoints/hugging_face_spec.rb

@@ -96,7 +96,7 @@ RSpec.describe DiscourseAi::Completions::Endpoints::HuggingFace do
       end
 
       context "with tools" do
-        it "returns a function invoncation" do
+        it "returns a function invocation" do
           compliance.streaming_mode_tools(hf_mock)
         end
       end

spec/lib/completions/endpoints/open_ai_spec.rb

@@ -172,15 +172,15 @@ RSpec.describe DiscourseAi::Completions::Endpoints::OpenAi do
           # the row with test1 is invalid json
           raw_data = <<~TEXT.strip
             d|a|t|a|:| |{|"choices":[{"delta":{"content":"test,"}}]}
-    
+
             data: {"choices":[{"delta":{"content":"test1,"}}]
-    
+
             data: {"choices":[{"delta":|{"content":"test2,"}}]}
-    
+
             data: {"choices":[{"delta":{"content":"test3,"}}]|}
-    
+
             data: {"choices":[{|"|d|elta":{"content":"test4"}}]|}
-    
+
             data: [D|ONE]
           TEXT
 
@@ -201,7 +201,7 @@ RSpec.describe DiscourseAi::Completions::Endpoints::OpenAi do
       end
 
       context "with tools" do
-        it "returns a function invoncation" do
+        it "returns a function invocation" do
           compliance.streaming_mode_tools(open_ai_mock)
         end
       end

spec/lib/modules/automation/report_runner_spec.rb

@@ -6,7 +6,7 @@ module DiscourseAi
   module Automation
     describe ReportRunner do
       fab!(:user)
-      fab!(:reciever) { Fabricate(:user) }
+      fab!(:receiver) { Fabricate(:user) }
       fab!(:post) { Fabricate(:post, user: user) }
       fab!(:group)
       fab!(:secure_category) { Fabricate(:private_category, group: group) }
@@ -46,7 +46,7 @@ module DiscourseAi
           DiscourseAi::Completions::Llm.with_prepared_responses(["magical report"]) do
             ReportRunner.run!(
               sender_username: user.username,
-              receivers: [reciever.username],
+              receivers: [receiver.username],
               title: "test report",
               model: "gpt-4",
               category_ids: nil,

spec/lib/modules/nsfw/nsfw_classification_spec.rb

@@ -80,7 +80,7 @@ describe DiscourseAi::Nsfw::Classification do
 
     let(:negative_verdict) { { "opennsfw2" => false } }
 
-    it "returns false when NSFW flaggin is disabled" do
+    it "returns false when NSFW flagging is disabled" do
       SiteSetting.ai_nsfw_flag_automatically = false
 
       should_flag = subject.should_flag_based_on?(positive_verdict)

spec/lib/modules/sentiment/jobs/regular/post_sentiment_analysis_spec.rb

@@ -41,7 +41,7 @@ describe Jobs::PostSentimentAnalysis do
       end
     end
 
-    it "succesfully classifies the post" do
+    it "successfully classifies the post" do
       expected_analysis = SiteSetting.ai_sentiment_models.split("|").length
       SentimentInferenceStubs.stub_classification(post)
 

spec/lib/modules/toxicity/toxicity_classification_spec.rb

@@ -22,7 +22,7 @@ describe DiscourseAi::Toxicity::ToxicityClassification do
 
     let(:toxic_verdict) { { SiteSetting.ai_toxicity_inference_service_api_model => true } }
 
-    it "returns false when toxicity flaggin is disabled" do
+    it "returns false when toxicity flagging is disabled" do
       SiteSetting.ai_toxicity_flag_automatically = false
 
       should_flag = subject.should_flag_based_on?(toxic_verdict)

spec/requests/admin/ai_personas_controller_spec.rb

@@ -196,7 +196,7 @@ RSpec.describe DiscourseAi::Admin::AiPersonasController do
             params: {
               ai_persona: {
                 name: "bob",
-                dscription: "the bob",
+                description: "the bob",
               },
             }
 

spec/requests/ai_helper/assistant_controller_spec.rb

@@ -3,7 +3,7 @@
 RSpec.describe DiscourseAi::AiHelper::AssistantController do
   describe "#suggest" do
     let(:text_to_proofread) { "The rain in spain stays mainly in the plane." }
-    let(:proofreaded_text) { "The rain in Spain, stays mainly in the Plane." }
+    let(:proofread_text) { "The rain in Spain, stays mainly in the Plane." }
     let(:mode) { CompletionPrompt::PROOFREAD }
 
     context "when not logged in" do
@@ -71,11 +71,11 @@ RSpec.describe DiscourseAi::AiHelper::AssistantController do
         expected_diff =
           "<div class=\"inline-diff\"><p>The rain in <ins>Spain</ins><ins>,</ins><ins> </ins><del>spain </del>stays mainly in the <ins>Plane</ins><del>plane</del>.</p></div>"
 
-        DiscourseAi::Completions::Llm.with_prepared_responses([proofreaded_text]) do
+        DiscourseAi::Completions::Llm.with_prepared_responses([proofread_text]) do
           post "/discourse-ai/ai-helper/suggest", params: { mode: mode, text: text_to_proofread }
 
           expect(response.status).to eq(200)
-          expect(response.parsed_body["suggestions"].first).to eq(proofreaded_text)
+          expect(response.parsed_body["suggestions"].first).to eq(proofread_text)
           expect(response.parsed_body["diff"]).to eq(expected_diff)
         end
       end

spec/shared/inference/stability_generator_spec.rb

@@ -5,7 +5,7 @@ describe DiscourseAi::Inference::StabilityGenerator do
     DiscourseAi::Inference::StabilityGenerator.perform!(prompt)
   end
 
-  it "sets dimentions to 512x512 for non XL model" do
+  it "sets dimensions to 512x512 for non XL model" do
     SiteSetting.ai_stability_engine = "stable-diffusion-v1-5"
     SiteSetting.ai_stability_api_url = "http://www.a.b.c"
     SiteSetting.ai_stability_api_key = "123"
@@ -25,7 +25,7 @@ describe DiscourseAi::Inference::StabilityGenerator do
     gen("a cow")
   end
 
-  it "sets dimentions to 1024x1024 for XL model" do
+  it "sets dimensions to 1024x1024 for XL model" do
     SiteSetting.ai_stability_engine = "stable-diffusion-xl-1024-v1-0"
     SiteSetting.ai_stability_api_url = "http://www.a.b.c"
     SiteSetting.ai_stability_api_key = "123"

spec/system/ai_helper/ai_composer_helper_spec.rb

@@ -37,7 +37,7 @@ RSpec.describe "AI Composer helper", type: :system, js: true do
       expect(ai_helper_context_menu).to have_context_menu
     end
 
-    it "does not show the context menu when selecting insuffient text" do
+    it "does not show the context menu when selecting insufficient text" do
       visit("/latest")
       page.find("#create-topic").click
       composer.fill_content(input)

spec/system/ai_helper/ai_split_topic_suggestion_spec.rb

@@ -109,7 +109,7 @@ RSpec.describe "AI Post helper", type: :system, js: true do
     context "when suggesting tags with AI tag suggester" do
       before { SiteSetting.ai_embeddings_enabled = true }
 
-      it "updatse the tag with the suggested tag" do
+      it "update the tag with the suggested tag" do
         response =
           Tag
             .take(5)

spec/system/embeddings/semantic_search_spec.rb

@@ -39,7 +39,7 @@ RSpec.describe "AI Composer helper", type: :system, js: true do
   end
 
   describe "when performing a search in the full page search page" do
-    skip "TODO: Implement test after doing LLM abrstraction" do
+    skip "TODO: Implement test after doing LLM abstraction" do
       it "performs AI search in the background and hides results by default" do
         visit("/search?expanded=true")
         search_page.type_in_search("apple pie")