//go:build darwin
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package engine
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import (
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"os"
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"path/filepath"
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"testing"
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"time"
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"voicesnap/internal/model"
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)
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func TestOfflineConfigForParakeetUsesNemoTransducer(t *testing.T) {
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root := t.TempDir()
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files := map[string]string{
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"encoder": filepath.Join(root, "encoder.int8.onnx"),
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"decoder": filepath.Join(root, "decoder.int8.onnx"),
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"joiner": filepath.Join(root, "joiner.int8.onnx"),
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"tokens": filepath.Join(root, "tokens.txt"),
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}
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resolved := model.ResolvedModel{
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ModelID: model.ParakeetModelID,
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BackendKind: model.BackendNemoTransducer,
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Profile: model.ModelProfile{
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DisplayName: "Parakeet English",
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BackendKind: model.BackendNemoTransducer,
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ProviderOrder: []string{"cpu"},
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NumThreads: 4,
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},
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Files: files,
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}
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config, err := offlineConfigForResolvedModel(resolved, "cpu")
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if err != nil {
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t.Fatal(err)
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}
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if config.ModelConfig.Transducer.Encoder != files["encoder"] {
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t.Fatalf("encoder = %q, want %q", config.ModelConfig.Transducer.Encoder, files["encoder"])
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}
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if config.ModelConfig.Transducer.Decoder != files["decoder"] {
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t.Fatalf("decoder = %q, want %q", config.ModelConfig.Transducer.Decoder, files["decoder"])
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}
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if config.ModelConfig.Transducer.Joiner != files["joiner"] {
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t.Fatalf("joiner = %q, want %q", config.ModelConfig.Transducer.Joiner, files["joiner"])
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}
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if config.ModelConfig.Tokens != files["tokens"] {
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t.Fatalf("tokens = %q, want %q", config.ModelConfig.Tokens, files["tokens"])
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}
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if config.ModelConfig.ModelType != model.BackendNemoTransducer {
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t.Fatalf("model type = %q, want %q", config.ModelConfig.ModelType, model.BackendNemoTransducer)
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}
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}
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func TestOfflineConfigForZipformerUsesPlainTransducer(t *testing.T) {
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root := t.TempDir()
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files := map[string]string{
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"encoder": filepath.Join(root, "encoder-epoch-99-avg-1.int8.onnx"),
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"decoder": filepath.Join(root, "decoder-epoch-99-avg-1.onnx"),
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"joiner": filepath.Join(root, "joiner-epoch-99-avg-1.int8.onnx"),
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"tokens": filepath.Join(root, "tokens.txt"),
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}
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resolved := model.ResolvedModel{
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ModelID: model.JapaneseModelID,
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BackendKind: model.BackendTransducer,
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Profile: model.ModelProfile{
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DisplayName: "Zipformer Japanese",
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BackendKind: model.BackendTransducer,
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ProviderOrder: []string{"cpu"},
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NumThreads: 1,
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},
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Files: files,
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}
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config, err := offlineConfigForResolvedModel(resolved, "cpu")
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if err != nil {
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t.Fatal(err)
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}
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if config.ModelConfig.Transducer.Encoder != files["encoder"] {
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t.Fatalf("encoder = %q, want %q", config.ModelConfig.Transducer.Encoder, files["encoder"])
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}
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if config.ModelConfig.Transducer.Decoder != files["decoder"] {
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t.Fatalf("decoder = %q, want %q", config.ModelConfig.Transducer.Decoder, files["decoder"])
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}
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if config.ModelConfig.Transducer.Joiner != files["joiner"] {
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t.Fatalf("joiner = %q, want %q", config.ModelConfig.Transducer.Joiner, files["joiner"])
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}
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if config.ModelConfig.Tokens != files["tokens"] {
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t.Fatalf("tokens = %q, want %q", config.ModelConfig.Tokens, files["tokens"])
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}
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if config.ModelConfig.ModelType != "" {
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t.Fatalf("model type = %q, want empty for plain transducer", config.ModelConfig.ModelType)
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}
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}
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func TestOnlineConfigForXASRUsesStreamingTransducer(t *testing.T) {
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root := t.TempDir()
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files := map[string]string{
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"encoder": filepath.Join(root, "encoder-960ms.onnx"),
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"decoder": filepath.Join(root, "decoder-960ms.onnx"),
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"joiner": filepath.Join(root, "joiner-960ms.onnx"),
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"tokens": filepath.Join(root, "tokens.txt"),
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}
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resolved := model.ResolvedModel{
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ModelID: model.XASRZhEn960ModelID,
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BackendKind: model.BackendXASRStreaming,
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Profile: model.ModelProfile{
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DisplayName: "X-ASR zh-en 960ms",
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BackendKind: model.BackendXASRStreaming,
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ProviderOrder: []string{"cpu"},
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NumThreads: 1,
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},
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Files: files,
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}
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config, err := onlineConfigForResolvedModel(resolved, "cpu")
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if err != nil {
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t.Fatal(err)
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}
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if config.ModelConfig.Transducer.Encoder != files["encoder"] {
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t.Fatalf("encoder = %q, want %q", config.ModelConfig.Transducer.Encoder, files["encoder"])
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}
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if config.ModelConfig.Transducer.Decoder != files["decoder"] {
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t.Fatalf("decoder = %q, want %q", config.ModelConfig.Transducer.Decoder, files["decoder"])
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}
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if config.ModelConfig.Transducer.Joiner != files["joiner"] {
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t.Fatalf("joiner = %q, want %q", config.ModelConfig.Transducer.Joiner, files["joiner"])
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}
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if config.ModelConfig.Tokens != files["tokens"] {
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t.Fatalf("tokens = %q, want %q", config.ModelConfig.Tokens, files["tokens"])
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}
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if config.ModelConfig.ModelType != "zipformer2" {
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t.Fatalf("model type = %q, want zipformer2", config.ModelConfig.ModelType)
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}
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if config.DecodingMethod != "greedy_search" {
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t.Fatalf("decoding method = %q, want greedy_search", config.DecodingMethod)
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}
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}
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func TestRememberNonEmptyTextKeepsLastPartial(t *testing.T) {
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got := rememberNonEmptyText("最后一句", " ")
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if got != "最后一句" {
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t.Fatalf("rememberNonEmptyText() = %q, want last non-empty text", got)
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}
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got = rememberNonEmptyText("旧内容", "新内容")
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if got != "新内容" {
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t.Fatalf("rememberNonEmptyText() = %q, want new non-empty text", got)
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}
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}
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func TestXASRTailPaddingMatchesFlushWindow(t *testing.T) {
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if xasrTailPaddingSamples != 24000 {
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t.Fatalf("tail padding samples = %d, want 24000", xasrTailPaddingSamples)
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}
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if len(xasrTailPadding) != xasrTailPaddingSamples {
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t.Fatalf("tail padding len = %d, want %d", len(xasrTailPadding), xasrTailPaddingSamples)
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}
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}
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func TestXASRHeadPaddingPreparesInitialContext(t *testing.T) {
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if xasrHeadPaddingSamples != 4000 {
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t.Fatalf("head padding samples = %d, want 4000", xasrHeadPaddingSamples)
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}
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input := []float32{0.1, -0.2, 0.3}
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got := xasrSamplesWithHeadPadding(input)
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if len(got) != xasrHeadPaddingSamples+len(input) {
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t.Fatalf("padded len = %d, want %d", len(got), xasrHeadPaddingSamples+len(input))
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}
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for i := 0; i < xasrHeadPaddingSamples; i++ {
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if got[i] != 0 {
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t.Fatalf("head padding sample %d = %v, want 0", i, got[i])
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}
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}
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for i, want := range input {
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if got[xasrHeadPaddingSamples+i] != want {
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t.Fatalf("payload sample %d = %v, want %v", i, got[xasrHeadPaddingSamples+i], want)
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}
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}
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}
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func TestXASRRequestsReleaseTailCaptureDelay(t *testing.T) {
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got := (&xasrStreamingEngine{}).ReleaseTailCaptureDelay()
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if got != 300*time.Millisecond {
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t.Fatalf("ReleaseTailCaptureDelay() = %v, want 300ms", got)
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}
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}
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func TestXASREnablesHoldPreCapture(t *testing.T) {
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if !(&xasrStreamingEngine{}).HoldPreCaptureEnabled() {
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t.Fatal("X-ASR should enable hold pre-capture")
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}
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}
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func TestOfflineSherpaDoesNotRequestReleaseTailCapture(t *testing.T) {
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if _, ok := any(&sherpaEngine{}).(ReleaseTailCaptureEngine); ok {
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t.Fatal("offline sherpa engine should not request release tail capture")
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}
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}
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func TestOfflineSherpaDoesNotEnableHoldPreCapture(t *testing.T) {
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if _, ok := any(&sherpaEngine{}).(HoldPreCaptureEngine); ok {
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t.Fatal("offline sherpa engine should not enable hold pre-capture")
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}
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}
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func TestXASRRealModelSmoke(t *testing.T) {
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if os.Getenv("PRIVATEVOICE_XASR_SMOKE") != "1" {
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t.Skip("set PRIVATEVOICE_XASR_SMOKE=1 to run the real X-ASR model smoke test")
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}
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resolved, err := model.ResolveModel(model.XASRZhEn960ModelID)
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if err != nil {
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t.Fatal(err)
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}
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if !resolved.IsUsable() {
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t.Fatalf("x-asr model is not usable: status=%s missing=%v problems=%v", resolved.Status, resolved.Missing, resolved.Problems)
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}
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eng, err := NewWithResolvedModel(resolved)
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if err != nil {
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t.Fatal(err)
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}
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defer eng.Close()
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text, err := eng.Recognize(make([]float32, 16000))
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if err != nil {
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t.Fatal(err)
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}
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t.Logf("hardware=%s silence_text=%q", eng.HardwareInfo(), text)
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}
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