feat: rewrite voice-assistant in Go
Replace Python voice assistant with Go for smaller container images. Uses handler-base Go module for NATS, health, telemetry, and all service clients. - Full pipeline: STT → embed → Milvus → rerank → LLM → TTS - Base64 audio encode/decode - Dockerfile: multi-stage golang:1.25-alpine → scratch - CI: Gitea Actions with lint/test/release/docker/notify
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225
main.go
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225
main.go
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package main
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import (
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"context"
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"encoding/base64"
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"fmt"
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"log/slog"
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"os"
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"strconv"
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"strings"
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"time"
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"github.com/nats-io/nats.go"
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"git.daviestechlabs.io/daviestechlabs/handler-base/clients"
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"git.daviestechlabs.io/daviestechlabs/handler-base/config"
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"git.daviestechlabs.io/daviestechlabs/handler-base/handler"
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)
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func main() {
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cfg := config.Load()
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cfg.ServiceName = "voice-assistant"
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cfg.NATSQueueGroup = "voice-assistants"
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// Voice-specific settings
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ragTopK := getEnvInt("RAG_TOP_K", 10)
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ragRerankTopK := getEnvInt("RAG_RERANK_TOP_K", 5)
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ragCollection := getEnv("RAG_COLLECTION", "documents")
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sttLanguage := getEnv("STT_LANGUAGE", "") // empty = auto-detect
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ttsLanguage := getEnv("TTS_LANGUAGE", "en")
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includeTranscription := getEnvBool("INCLUDE_TRANSCRIPTION", true)
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includeSources := getEnvBool("INCLUDE_SOURCES", false)
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// Service clients
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timeout := 60 * time.Second
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stt := clients.NewSTTClient(cfg.STTURL, timeout)
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embeddings := clients.NewEmbeddingsClient(cfg.EmbeddingsURL, timeout, "")
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reranker := clients.NewRerankerClient(cfg.RerankerURL, timeout)
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llm := clients.NewLLMClient(cfg.LLMURL, timeout)
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tts := clients.NewTTSClient(cfg.TTSURL, timeout, ttsLanguage)
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milvus := clients.NewMilvusClient(cfg.MilvusHost, cfg.MilvusPort, ragCollection)
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h := handler.New("voice.request", cfg)
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h.OnMessage(func(ctx context.Context, msg *nats.Msg, data map[string]any) (map[string]any, error) {
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requestID := strVal(data, "request_id", "unknown")
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audioB64 := strVal(data, "audio", "")
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language := strVal(data, "language", sttLanguage)
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collection := strVal(data, "collection", ragCollection)
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slog.Info("processing voice request", "request_id", requestID)
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// 1. Decode audio
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audioBytes, err := base64.StdEncoding.DecodeString(audioB64)
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if err != nil {
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return map[string]any{"request_id": requestID, "error": "Invalid audio encoding"}, nil
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}
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// 2. Transcribe audio → text
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transcription, err := stt.Transcribe(ctx, audioBytes, language)
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if err != nil {
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slog.Error("STT failed", "error", err)
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return map[string]any{"request_id": requestID, "error": "Transcription failed"}, nil
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}
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query := strings.TrimSpace(transcription.Text)
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if query == "" {
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slog.Warn("empty transcription", "request_id", requestID)
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return map[string]any{"request_id": requestID, "error": "Could not transcribe audio"}, nil
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}
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slog.Info("transcribed", "text", truncate(query, 50))
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// 3. Generate query embedding
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embedding, err := embeddings.EmbedSingle(ctx, query)
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if err != nil {
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slog.Error("embedding failed", "error", err)
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return map[string]any{"request_id": requestID, "error": "Embedding failed"}, nil
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}
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// 4. Search Milvus for context (placeholder — requires Milvus SDK)
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_ = milvus
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_ = collection
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_ = embedding
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_ = ragTopK
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var documents []map[string]any // Milvus results placeholder
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// 5. Rerank documents
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if len(documents) > 0 {
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texts := make([]string, len(documents))
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for i, d := range documents {
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if t, ok := d["text"].(string); ok {
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texts[i] = t
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}
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}
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reranked, err := reranker.Rerank(ctx, query, texts, ragRerankTopK)
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if err != nil {
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slog.Error("rerank failed", "error", err)
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} else {
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documents = make([]map[string]any, len(reranked))
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for i, r := range reranked {
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documents[i] = map[string]any{"document": r.Document, "score": r.Score}
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}
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}
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}
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// 6. Build context
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var contextParts []string
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for _, d := range documents {
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if t, ok := d["document"].(string); ok {
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contextParts = append(contextParts, t)
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}
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}
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contextText := strings.Join(contextParts, "\n\n")
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// 7. Generate LLM response
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responseText, err := llm.Generate(ctx, query, contextText, "")
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if err != nil {
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slog.Error("LLM generation failed", "error", err)
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return map[string]any{"request_id": requestID, "error": "Generation failed"}, nil
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}
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// 8. Synthesize speech
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responseAudioBytes, err := tts.Synthesize(ctx, responseText, ttsLanguage, "")
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if err != nil {
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slog.Error("TTS failed", "error", err)
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return map[string]any{"request_id": requestID, "error": "Speech synthesis failed"}, nil
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}
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responseAudioB64 := base64.StdEncoding.EncodeToString(responseAudioBytes)
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// Build response
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result := map[string]any{
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"request_id": requestID,
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"response": responseText,
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"audio": responseAudioB64,
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}
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if includeTranscription {
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result["transcription"] = query
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}
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if includeSources && len(documents) > 0 {
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sources := make([]map[string]any, 0, 3)
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for i, d := range documents {
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if i >= 3 {
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break
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}
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text := ""
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if t, ok := d["document"].(string); ok && len(t) > 200 {
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text = t[:200]
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} else if t, ok := d["document"].(string); ok {
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text = t
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}
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score := 0.0
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if s, ok := d["score"].(float64); ok {
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score = s
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}
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sources = append(sources, map[string]any{"text": text, "score": score})
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}
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result["sources"] = sources
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}
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// Publish to response subject
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responseSubject := fmt.Sprintf("voice.response.%s", requestID)
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_ = h.NATS.Publish(responseSubject, result)
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slog.Info("completed voice request", "request_id", requestID)
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return result, nil
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})
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if err := h.Run(); err != nil {
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slog.Error("handler failed", "error", err)
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os.Exit(1)
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}
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}
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// Helpers
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func strVal(m map[string]any, key, fallback string) string {
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if v, ok := m[key]; ok {
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if s, ok := v.(string); ok {
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return s
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}
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}
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return fallback
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}
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func boolVal(m map[string]any, key string, fallback bool) bool {
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if v, ok := m[key]; ok {
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if b, ok := v.(bool); ok {
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return b
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}
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}
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return fallback
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}
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func getEnv(key, fallback string) string {
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if v := os.Getenv(key); v != "" {
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return v
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}
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return fallback
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}
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func getEnvInt(key string, fallback int) int {
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if v := os.Getenv(key); v != "" {
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if i, err := strconv.Atoi(v); err == nil {
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return i
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}
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}
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return fallback
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}
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func getEnvBool(key string, fallback bool) bool {
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if v := os.Getenv(key); v != "" {
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return strings.EqualFold(v, "true") || v == "1"
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}
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return fallback
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}
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func truncate(s string, n int) string {
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if len(s) <= n {
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return s
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}
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return s[:n] + "..."
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}
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