//go:build darwin package engine import ( "os" "path/filepath" "testing" "voicesnap/internal/model" ) func TestOfflineConfigForParakeetUsesNemoTransducer(t *testing.T) { root := t.TempDir() files := map[string]string{ "encoder": filepath.Join(root, "encoder.int8.onnx"), "decoder": filepath.Join(root, "decoder.int8.onnx"), "joiner": filepath.Join(root, "joiner.int8.onnx"), "tokens": filepath.Join(root, "tokens.txt"), } resolved := model.ResolvedModel{ ModelID: model.ParakeetModelID, BackendKind: model.BackendNemoTransducer, Profile: model.ModelProfile{ DisplayName: "Parakeet English", BackendKind: model.BackendNemoTransducer, ProviderOrder: []string{"cpu"}, NumThreads: 4, }, Files: files, } config, err := offlineConfigForResolvedModel(resolved, "cpu") if err != nil { t.Fatal(err) } if config.ModelConfig.Transducer.Encoder != files["encoder"] { t.Fatalf("encoder = %q, want %q", config.ModelConfig.Transducer.Encoder, files["encoder"]) } if config.ModelConfig.Transducer.Decoder != files["decoder"] { t.Fatalf("decoder = %q, want %q", config.ModelConfig.Transducer.Decoder, files["decoder"]) } if config.ModelConfig.Transducer.Joiner != files["joiner"] { t.Fatalf("joiner = %q, want %q", config.ModelConfig.Transducer.Joiner, files["joiner"]) } if config.ModelConfig.Tokens != files["tokens"] { t.Fatalf("tokens = %q, want %q", config.ModelConfig.Tokens, files["tokens"]) } if config.ModelConfig.ModelType != model.BackendNemoTransducer { t.Fatalf("model type = %q, want %q", config.ModelConfig.ModelType, model.BackendNemoTransducer) } } func TestOfflineConfigForQwen3ASRUsesQwen3Config(t *testing.T) { root := t.TempDir() files := map[string]string{ "conv_frontend": filepath.Join(root, "conv_frontend.onnx"), "encoder": filepath.Join(root, "encoder.int8.onnx"), "decoder": filepath.Join(root, "decoder.int8.onnx"), "tokenizer": filepath.Join(root, "tokenizer"), } resolved := model.ResolvedModel{ ModelID: model.Qwen3ASRModelID, BackendKind: model.BackendQwen3ASR, Profile: model.ModelProfile{ DisplayName: "Qwen3-ASR", BackendKind: model.BackendQwen3ASR, ProviderOrder: []string{"cpu"}, NumThreads: 4, }, Files: files, } config, err := offlineConfigForResolvedModel(resolved, "cpu") if err != nil { t.Fatal(err) } if config.ModelConfig.Qwen3ASR.ConvFrontend != files["conv_frontend"] { t.Fatalf("conv frontend = %q, want %q", config.ModelConfig.Qwen3ASR.ConvFrontend, files["conv_frontend"]) } if config.ModelConfig.Qwen3ASR.Encoder != files["encoder"] { t.Fatalf("encoder = %q, want %q", config.ModelConfig.Qwen3ASR.Encoder, files["encoder"]) } if config.ModelConfig.Qwen3ASR.Decoder != files["decoder"] { t.Fatalf("decoder = %q, want %q", config.ModelConfig.Qwen3ASR.Decoder, files["decoder"]) } if config.ModelConfig.Qwen3ASR.Tokenizer != files["tokenizer"] { t.Fatalf("tokenizer = %q, want %q", config.ModelConfig.Qwen3ASR.Tokenizer, files["tokenizer"]) } if config.ModelConfig.Qwen3ASR.MaxTotalLen != 1024 { t.Fatalf("max total len = %d, want 1024", config.ModelConfig.Qwen3ASR.MaxTotalLen) } if config.ModelConfig.Qwen3ASR.MaxNewTokens != 256 { t.Fatalf("max new tokens = %d, want 256", config.ModelConfig.Qwen3ASR.MaxNewTokens) } if config.ModelConfig.Tokens != "" { t.Fatalf("tokens = %q, want empty for qwen3-asr", config.ModelConfig.Tokens) } } func TestOnlineConfigForXASRUsesStreamingTransducer(t *testing.T) { root := t.TempDir() files := map[string]string{ "encoder": filepath.Join(root, "encoder-960ms.onnx"), "decoder": filepath.Join(root, "decoder-960ms.onnx"), "joiner": filepath.Join(root, "joiner-960ms.onnx"), "tokens": filepath.Join(root, "tokens.txt"), } resolved := model.ResolvedModel{ ModelID: model.XASRZhEn960ModelID, BackendKind: model.BackendXASRStreaming, Profile: model.ModelProfile{ DisplayName: "X-ASR zh-en 960ms", BackendKind: model.BackendXASRStreaming, ProviderOrder: []string{"cpu"}, NumThreads: 1, }, Files: files, } config, err := onlineConfigForResolvedModel(resolved, "cpu") if err != nil { t.Fatal(err) } if config.ModelConfig.Transducer.Encoder != files["encoder"] { t.Fatalf("encoder = %q, want %q", config.ModelConfig.Transducer.Encoder, files["encoder"]) } if config.ModelConfig.Transducer.Decoder != files["decoder"] { t.Fatalf("decoder = %q, want %q", config.ModelConfig.Transducer.Decoder, files["decoder"]) } if config.ModelConfig.Transducer.Joiner != files["joiner"] { t.Fatalf("joiner = %q, want %q", config.ModelConfig.Transducer.Joiner, files["joiner"]) } if config.ModelConfig.Tokens != files["tokens"] { t.Fatalf("tokens = %q, want %q", config.ModelConfig.Tokens, files["tokens"]) } if config.ModelConfig.ModelType != "zipformer2" { t.Fatalf("model type = %q, want zipformer2", config.ModelConfig.ModelType) } if config.DecodingMethod != "greedy_search" { t.Fatalf("decoding method = %q, want greedy_search", config.DecodingMethod) } } func TestRememberNonEmptyTextKeepsLastPartial(t *testing.T) { got := rememberNonEmptyText("最后一句", " ") if got != "最后一句" { t.Fatalf("rememberNonEmptyText() = %q, want last non-empty text", got) } got = rememberNonEmptyText("旧内容", "新内容") if got != "新内容" { t.Fatalf("rememberNonEmptyText() = %q, want new non-empty text", got) } } func TestXASRTailPaddingMatchesFlushWindow(t *testing.T) { if xasrTailPaddingSamples != 24000 { t.Fatalf("tail padding samples = %d, want 24000", xasrTailPaddingSamples) } if len(xasrTailPadding) != xasrTailPaddingSamples { t.Fatalf("tail padding len = %d, want %d", len(xasrTailPadding), xasrTailPaddingSamples) } } func TestXASRRealModelSmoke(t *testing.T) { if os.Getenv("PRIVATEVOICE_XASR_SMOKE") != "1" { t.Skip("set PRIVATEVOICE_XASR_SMOKE=1 to run the real X-ASR model smoke test") } resolved, err := model.ResolveModel(model.XASRZhEn960ModelID) if err != nil { t.Fatal(err) } if !resolved.IsUsable() { t.Fatalf("x-asr model is not usable: status=%s missing=%v problems=%v", resolved.Status, resolved.Missing, resolved.Problems) } eng, err := NewWithResolvedModel(resolved) if err != nil { t.Fatal(err) } defer eng.Close() text, err := eng.Recognize(make([]float32, 16000)) if err != nil { t.Fatal(err) } t.Logf("hardware=%s silence_text=%q", eng.HardwareInfo(), text) }