Chore: linter complaints

bot.go

@@ -23,8 +23,6 @@ import (
 	"strings"
 	"sync"
 	"time"
-
-	"github.com/neurosnap/sentences/english"
 )
 
 var (
@@ -753,62 +751,6 @@ func sendMsgToLLM(body io.Reader) {
 	}
 }
 
-func chatRagUse(qText string) (string, error) {
-	logger.Debug("Starting RAG query", "original_query", qText)
-	tokenizer, err := english.NewSentenceTokenizer(nil)
-	if err != nil {
-		logger.Error("failed to create sentence tokenizer", "error", err)
-		return "", err
-	}
-	// this where llm should find the questions in text and ask them
-	questionsS := tokenizer.Tokenize(qText)
-	questions := make([]string, len(questionsS))
-	for i, q := range questionsS {
-		questions[i] = q.Text
-		logger.Debug("RAG question extracted", "index", i, "question", q.Text)
-	}
-	if len(questions) == 0 {
-		logger.Warn("No questions extracted from query text", "query", qText)
-		return "No related results from RAG vector storage.", nil
-	}
-	respVecs := []models.VectorRow{}
-	for i, q := range questions {
-		logger.Debug("Processing RAG question", "index", i, "question", q)
-		emb, err := ragger.LineToVector(q)
-		if err != nil {
-			logger.Error("failed to get embeddings for RAG", "error", err, "index", i, "question", q)
-			continue
-		}
-		logger.Debug("Got embeddings for question", "index", i, "question_len", len(q), "embedding_len", len(emb))
-		// Create EmbeddingResp struct for the search
-		embeddingResp := &models.EmbeddingResp{
-			Embedding: emb,
-			Index:     0, // Not used in search but required for the struct
-		}
-		vecs, err := ragger.SearchEmb(embeddingResp)
-		if err != nil {
-			logger.Error("failed to query embeddings in RAG", "error", err, "index", i, "question", q)
-			continue
-		}
-		logger.Debug("RAG search returned vectors", "index", i, "question", q, "vector_count", len(vecs))
-		respVecs = append(respVecs, vecs...)
-	}
-	// get raw text
-	resps := []string{}
-	logger.Debug("RAG query final results", "total_vecs_found", len(respVecs))
-	for _, rv := range respVecs {
-		resps = append(resps, rv.RawText)
-		logger.Debug("RAG result", "slug", rv.Slug, "filename", rv.FileName, "raw_text_len", len(rv.RawText))
-	}
-	if len(resps) == 0 {
-		logger.Info("No RAG results found for query", "original_query", qText, "question_count", len(questions))
-		return "No related results from RAG vector storage.", nil
-	}
-	result := strings.Join(resps, "\n")
-	logger.Debug("RAG query completed", "result_len", len(result), "response_count", len(resps))
-	return result, nil
-}
-
 func roleToIcon(role string) string {
 	return "<" + role + ">: "
 }
@@ -838,11 +780,12 @@ func showSpinner() {
 		time.Sleep(100 * time.Millisecond)
 		spin := i % len(spinners)
 		app.QueueUpdateDraw(func() {
-			if toolRunningMode {
+			switch {
+			case toolRunningMode:
 				textArea.SetTitle(spinners[spin] + " tool")
-			} else if botRespMode {
+			case botRespMode:
 				textArea.SetTitle(spinners[spin] + " " + botPersona)
-			} else {
+			default:
 				textArea.SetTitle(spinners[spin] + " input")
 			}
 		})