Add FLAC audio quality analysis and spectrum visualization (#110)
Introduces backend support for analyzing FLAC audio files, including technical metrics and frequency spectrum extraction. Adds frontend components and hooks for file selection, analysis, and visualization, integrating a new Audio Quality Analyzer dialog into the UI. Updates types and dependencies to support audio analysis features.
This commit is contained in:
@@ -285,6 +285,11 @@ func (a *App) SelectFolder(defaultPath string) (string, error) {
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return backend.SelectFolderDialog(a.ctx, defaultPath)
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}
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// SelectFile opens a file selection dialog and returns the selected file path
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func (a *App) SelectFile() (string, error) {
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return backend.SelectFileDialog(a.ctx)
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}
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// GetDefaults returns the default configuration
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func (a *App) GetDefaults() map[string]string {
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return map[string]string{
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@@ -302,3 +307,47 @@ func (a *App) Quit() {
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// You can add cleanup logic here if needed
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panic("quit") // This will trigger Wails to close the app
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}
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// AnalyzeTrack analyzes audio quality of a FLAC file
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func (a *App) AnalyzeTrack(filePath string) (string, error) {
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if filePath == "" {
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return "", fmt.Errorf("file path is required")
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}
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result, err := backend.AnalyzeTrack(filePath)
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if err != nil {
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return "", fmt.Errorf("failed to analyze track: %v", err)
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}
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jsonData, err := json.Marshal(result)
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if err != nil {
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return "", fmt.Errorf("failed to encode response: %v", err)
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}
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return string(jsonData), nil
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}
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// AnalyzeMultipleTracks analyzes multiple FLAC files
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func (a *App) AnalyzeMultipleTracks(filePaths []string) (string, error) {
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if len(filePaths) == 0 {
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return "", fmt.Errorf("at least one file path is required")
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}
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results := make([]*backend.AnalysisResult, 0, len(filePaths))
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for _, filePath := range filePaths {
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result, err := backend.AnalyzeTrack(filePath)
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if err != nil {
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// Skip failed analyses
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continue
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}
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results = append(results, result)
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}
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jsonData, err := json.Marshal(results)
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if err != nil {
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return "", fmt.Errorf("failed to encode response: %v", err)
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}
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return string(jsonData), nil
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}
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@@ -0,0 +1,181 @@
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package backend
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import (
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"fmt"
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"math"
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"os"
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"github.com/go-flac/go-flac"
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mewflac "github.com/mewkiz/flac"
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)
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// AnalysisResult contains the audio analysis data
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type AnalysisResult struct {
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FilePath string `json:"file_path"`
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SampleRate uint32 `json:"sample_rate"`
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Channels uint8 `json:"channels"`
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BitsPerSample uint8 `json:"bits_per_sample"`
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TotalSamples uint64 `json:"total_samples"`
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Duration float64 `json:"duration"`
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BitDepth string `json:"bit_depth"`
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DynamicRange float64 `json:"dynamic_range"`
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PeakAmplitude float64 `json:"peak_amplitude"`
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RMSLevel float64 `json:"rms_level"`
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Spectrum *SpectrumData `json:"spectrum,omitempty"`
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}
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// AnalyzeTrack performs audio analysis on a FLAC file
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func AnalyzeTrack(filepath string) (*AnalysisResult, error) {
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if !fileExists(filepath) {
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return nil, fmt.Errorf("file does not exist: %s", filepath)
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}
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// Parse FLAC file
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f, err := flac.ParseFile(filepath)
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if err != nil {
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return nil, fmt.Errorf("failed to parse FLAC file: %w", err)
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}
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result := &AnalysisResult{
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FilePath: filepath,
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}
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// Extract basic audio properties from STREAMINFO block
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if len(f.Meta) > 0 {
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streamInfo := f.Meta[0]
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if streamInfo.Type == flac.StreamInfo {
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// Read STREAMINFO data
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data := streamInfo.Data
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if len(data) >= 18 {
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// Sample rate (bits 10-29 of bytes 10-13)
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result.SampleRate = uint32(data[10])<<12 | uint32(data[11])<<4 | uint32(data[12])>>4
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// Channels (bits 30-32 of byte 12)
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result.Channels = ((data[12] >> 1) & 0x07) + 1
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// Bits per sample (bits 33-37 of bytes 12-13)
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result.BitsPerSample = ((data[12]&0x01)<<4 | data[13]>>4) + 1
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// Total samples (bits 38-73 of bytes 13-17)
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result.TotalSamples = uint64(data[13]&0x0F)<<32 |
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uint64(data[14])<<24 |
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uint64(data[15])<<16 |
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uint64(data[16])<<8 |
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uint64(data[17])
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// Calculate duration
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if result.SampleRate > 0 {
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result.Duration = float64(result.TotalSamples) / float64(result.SampleRate)
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}
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// Read min/max frame size and block size for additional analysis
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// Min block size (bytes 0-1)
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// Max block size (bytes 2-3)
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// These can give us hints about encoding quality
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}
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}
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}
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// Analyze spectrum and calculate real audio metrics
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spectrum, err := AnalyzeSpectrum(filepath)
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if err != nil {
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// Log error but continue
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fmt.Printf("Warning: failed to analyze spectrum: %v\n", err)
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} else {
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result.Spectrum = spectrum
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// Calculate dynamic range, peak, and RMS from decoded samples
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calculateRealAudioMetrics(result, filepath)
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}
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// Set bit depth
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result.BitDepth = fmt.Sprintf("%d-bit", result.BitsPerSample)
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return result, nil
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}
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// calculateRealAudioMetrics calculates actual dynamic range, peak, and RMS from decoded audio
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func calculateRealAudioMetrics(result *AnalysisResult, filepath string) {
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// Decode FLAC to get actual samples
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samples, err := decodeFLACForMetrics(filepath)
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if err != nil {
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return
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}
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// Calculate peak amplitude
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var peak float64
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var sumSquares float64
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for _, sample := range samples {
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absVal := sample
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if absVal < 0 {
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absVal = -absVal
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}
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if absVal > peak {
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peak = absVal
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}
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sumSquares += sample * sample
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}
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// Convert peak to dB (reference: 1.0 = 0 dBFS)
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peakDB := 20.0 * math.Log10(peak)
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result.PeakAmplitude = peakDB
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// Calculate RMS (Root Mean Square)
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rms := math.Sqrt(sumSquares / float64(len(samples)))
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rmsDB := 20.0 * math.Log10(rms)
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result.RMSLevel = rmsDB
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// Dynamic range is the difference between peak and RMS
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result.DynamicRange = peakDB - rmsDB
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}
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// decodeFLACForMetrics decodes FLAC file and returns normalized samples for metric calculation
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func decodeFLACForMetrics(filepath string) ([]float64, error) {
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stream, err := mewflac.ParseFile(filepath)
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if err != nil {
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return nil, err
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}
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defer stream.Close()
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// Limit samples to prevent memory issues (10 million samples = ~3.8 minutes at 44.1kHz)
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maxSamples := 10000000
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samples := make([]float64, 0, maxSamples)
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// Read all audio frames
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for {
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frame, err := stream.ParseNext()
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if err != nil {
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break
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}
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// Get samples from first channel (mono or left channel)
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var channelSamples []int32
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if len(frame.Subframes) > 0 {
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channelSamples = frame.Subframes[0].Samples
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}
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// Normalize samples to -1.0 to 1.0 range
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maxVal := float64(int64(1) << (stream.Info.BitsPerSample - 1))
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for _, sample := range channelSamples {
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if len(samples) >= maxSamples {
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return samples, nil
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}
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normalized := float64(sample) / maxVal
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samples = append(samples, normalized)
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}
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if len(samples) >= maxSamples {
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break
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}
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}
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return samples, nil
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}
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func GetFileSize(filepath string) (int64, error) {
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info, err := os.Stat(filepath)
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if err != nil {
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return 0, err
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}
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return info.Size(), nil
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}
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@@ -48,3 +48,31 @@ func SelectFolderDialog(ctx context.Context, defaultPath string) (string, error)
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return selectedPath, nil
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}
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func SelectFileDialog(ctx context.Context) (string, error) {
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options := wailsRuntime.OpenDialogOptions{
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Title: "Select FLAC File for Analysis",
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Filters: []wailsRuntime.FileFilter{
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{
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DisplayName: "FLAC Audio Files (*.flac)",
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Pattern: "*.flac",
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},
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{
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DisplayName: "All Files (*.*)",
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Pattern: "*.*",
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},
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},
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}
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selectedFile, err := wailsRuntime.OpenFileDialog(ctx, options)
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if err != nil {
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return "", err
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}
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// If user cancelled, selectedFile will be empty
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if selectedFile == "" {
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return "", nil
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}
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return selectedFile, nil
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}
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@@ -0,0 +1,205 @@
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package backend
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import (
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"fmt"
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"math"
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"math/cmplx"
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"os"
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"github.com/mewkiz/flac"
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)
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// SpectrumData contains frequency spectrum information
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type SpectrumData struct {
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TimeSlices []TimeSlice `json:"time_slices"`
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SampleRate int `json:"sample_rate"`
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FreqBins int `json:"freq_bins"`
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Duration float64 `json:"duration"`
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MaxFreq float64 `json:"max_freq"`
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}
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// TimeSlice represents spectrum data at a point in time
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type TimeSlice struct {
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Time float64 `json:"time"`
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Magnitudes []float64 `json:"magnitudes"`
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}
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// AnalyzeSpectrum decodes FLAC file and performs FFT analysis
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func AnalyzeSpectrum(filepath string) (*SpectrumData, error) {
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// Open FLAC file
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stream, err := flac.ParseFile(filepath)
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if err != nil {
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return nil, fmt.Errorf("failed to parse FLAC: %w", err)
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}
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defer stream.Close()
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info := stream.Info
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sampleRate := int(info.SampleRate)
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channels := int(info.NChannels)
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// Read audio samples
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samples, err := readSamples(stream, channels)
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if err != nil {
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return nil, fmt.Errorf("failed to read samples: %w", err)
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}
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if len(samples) == 0 {
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return nil, fmt.Errorf("no audio samples found")
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}
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// Calculate spectrum
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return calculateSpectrum(samples, sampleRate), nil
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}
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// readSamples reads and decodes audio samples from FLAC stream
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func readSamples(stream *flac.Stream, channels int) ([]float64, error) {
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var allSamples []float64
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maxSamples := 10 * 1024 * 1024 // Limit to ~10 million samples to avoid memory issues
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// Decode frames
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for {
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frame, err := stream.ParseNext()
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if err != nil {
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// End of stream
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break
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}
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// Convert samples to float64 and mix channels to mono
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for i := 0; i < frame.Subframes[0].NSamples; i++ {
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var sample float64
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// Mix all channels to mono by averaging
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for ch := 0; ch < channels; ch++ {
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sample += float64(frame.Subframes[ch].Samples[i])
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}
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sample /= float64(channels)
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allSamples = append(allSamples, sample)
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// Limit sample count
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if len(allSamples) >= maxSamples {
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return allSamples, nil
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}
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}
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}
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return allSamples, nil
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}
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// calculateSpectrum performs FFT analysis on audio samples
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func calculateSpectrum(samples []float64, sampleRate int) *SpectrumData {
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fftSize := 8192
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numTimeSlices := 300
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duration := float64(len(samples)) / float64(sampleRate)
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samplesPerSlice := len(samples) / numTimeSlices
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if samplesPerSlice < fftSize {
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samplesPerSlice = fftSize
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numTimeSlices = len(samples) / fftSize
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}
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timeSlices := make([]TimeSlice, 0, numTimeSlices)
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freqBins := fftSize / 2
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maxFreq := float64(sampleRate) / 2.0
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for i := 0; i < numTimeSlices; i++ {
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startIdx := i * samplesPerSlice
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if startIdx+fftSize > len(samples) {
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break
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}
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window := samples[startIdx : startIdx+fftSize]
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windowedSamples := applyHannWindow(window)
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spectrum := fft(windowedSamples)
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magnitudes := make([]float64, freqBins)
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for j := 0; j < freqBins; j++ {
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magnitude := cmplx.Abs(spectrum[j])
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if magnitude < 1e-10 {
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magnitude = 1e-10
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}
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magnitudes[j] = 20 * math.Log10(magnitude)
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}
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timeSlice := TimeSlice{
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Time: float64(startIdx) / float64(sampleRate),
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Magnitudes: magnitudes,
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}
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timeSlices = append(timeSlices, timeSlice)
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}
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return &SpectrumData{
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TimeSlices: timeSlices,
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SampleRate: sampleRate,
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FreqBins: freqBins,
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Duration: duration,
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MaxFreq: maxFreq,
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}
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}
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// applyHannWindow applies Hann window to reduce spectral leakage
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func applyHannWindow(samples []float64) []float64 {
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n := len(samples)
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windowed := make([]float64, n)
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for i := 0; i < n; i++ {
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window := 0.5 * (1.0 - math.Cos(2.0*math.Pi*float64(i)/float64(n-1)))
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windowed[i] = samples[i] * window
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}
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return windowed
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}
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// fft performs Fast Fourier Transform using Cooley-Tukey algorithm
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func fft(samples []float64) []complex128 {
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n := len(samples)
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x := make([]complex128, n)
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for i := 0; i < n; i++ {
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x[i] = complex(samples[i], 0)
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}
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return fftRecursive(x)
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}
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// fftRecursive performs recursive FFT
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func fftRecursive(x []complex128) []complex128 {
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n := len(x)
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if n <= 1 {
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return x
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}
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even := make([]complex128, n/2)
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odd := make([]complex128, n/2)
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for i := 0; i < n/2; i++ {
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even[i] = x[2*i]
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odd[i] = x[2*i+1]
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}
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evenFFT := fftRecursive(even)
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oddFFT := fftRecursive(odd)
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result := make([]complex128, n)
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for k := 0; k < n/2; k++ {
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t := cmplx.Exp(complex(0, -2*math.Pi*float64(k)/float64(n))) * oddFFT[k]
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result[k] = evenFFT[k] + t
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result[k+n/2] = evenFFT[k] - t
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}
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return result
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}
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// GetFileSize helper
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func getSpectrumFileSize(filepath string) (int64, error) {
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info, err := os.Stat(filepath)
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if err != nil {
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return 0, err
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}
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return info.Size(), nil
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}
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@@ -0,0 +1,161 @@
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import { Card, CardContent, CardHeader, CardTitle, CardDescription } from "@/components/ui/card";
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import { Spinner } from "@/components/ui/spinner";
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import { Button } from "@/components/ui/button";
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import {
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Activity,
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Waves,
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Radio,
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TrendingUp,
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FileAudio,
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Clock
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} from "lucide-react";
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import type { AnalysisResult } from "@/types/api";
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interface AudioAnalysisProps {
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result: AnalysisResult | null;
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analyzing: boolean;
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onAnalyze?: () => void;
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showAnalyzeButton?: boolean;
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}
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export function AudioAnalysis({
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result,
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analyzing,
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onAnalyze,
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showAnalyzeButton = true
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}: AudioAnalysisProps) {
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if (analyzing) {
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return (
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<Card>
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<CardContent className="px-6">
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<div className="flex items-center justify-center py-8 gap-3">
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<Spinner />
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<span className="text-muted-foreground">Analyzing audio quality...</span>
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</div>
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</CardContent>
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</Card>
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);
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}
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|
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if (!result && showAnalyzeButton) {
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return (
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<Card>
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<CardContent className="px-6">
|
||||
<div className="flex flex-col items-center justify-center py-8 gap-4">
|
||||
<Activity className="h-12 w-12 text-muted-foreground/50" />
|
||||
<div className="text-center space-y-2">
|
||||
<p className="font-medium">Audio Quality Analysis</p>
|
||||
<p className="text-sm text-muted-foreground">
|
||||
Verify the true lossless quality of downloaded files
|
||||
</p>
|
||||
</div>
|
||||
{onAnalyze && (
|
||||
<Button onClick={onAnalyze}>
|
||||
<Activity className="h-4 w-4" />
|
||||
Analyze Audio
|
||||
</Button>
|
||||
)}
|
||||
</div>
|
||||
</CardContent>
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
|
||||
if (!result) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const formatDuration = (seconds: number) => {
|
||||
const mins = Math.floor(seconds / 60);
|
||||
const secs = Math.floor(seconds % 60);
|
||||
return `${mins}:${secs.toString().padStart(2, '0')}`;
|
||||
};
|
||||
|
||||
const formatNumber = (num: number) => {
|
||||
return num.toFixed(2);
|
||||
};
|
||||
|
||||
return (
|
||||
<Card>
|
||||
<CardHeader>
|
||||
<div className="space-y-1">
|
||||
<CardTitle className="flex items-center gap-2">
|
||||
<Activity className="h-5 w-5" />
|
||||
Audio Quality Analysis
|
||||
</CardTitle>
|
||||
<CardDescription>
|
||||
Technical analysis of audio file properties
|
||||
</CardDescription>
|
||||
</div>
|
||||
</CardHeader>
|
||||
|
||||
<CardContent className="px-6 space-y-6">
|
||||
|
||||
{/* Technical Specifications */}
|
||||
<div className="grid grid-cols-2 gap-4">
|
||||
<div className="space-y-1">
|
||||
<div className="flex items-center gap-2 text-xs text-muted-foreground">
|
||||
<Radio className="h-3 w-3" />
|
||||
Sample Rate
|
||||
</div>
|
||||
<p className="font-semibold">{(result.sample_rate / 1000).toFixed(1)} kHz</p>
|
||||
</div>
|
||||
|
||||
<div className="space-y-1">
|
||||
<div className="flex items-center gap-2 text-xs text-muted-foreground">
|
||||
<FileAudio className="h-3 w-3" />
|
||||
Bit Depth
|
||||
</div>
|
||||
<p className="font-semibold">{result.bit_depth}</p>
|
||||
</div>
|
||||
|
||||
<div className="space-y-1">
|
||||
<div className="flex items-center gap-2 text-xs text-muted-foreground">
|
||||
<Waves className="h-3 w-3" />
|
||||
Channels
|
||||
</div>
|
||||
<p className="font-semibold">{result.channels === 2 ? "Stereo" : result.channels === 1 ? "Mono" : `${result.channels} channels`}</p>
|
||||
</div>
|
||||
|
||||
<div className="space-y-1">
|
||||
<div className="flex items-center gap-2 text-xs text-muted-foreground">
|
||||
<Clock className="h-3 w-3" />
|
||||
Duration
|
||||
</div>
|
||||
<p className="font-semibold">{formatDuration(result.duration)}</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Dynamic Range Analysis */}
|
||||
<div className="border rounded-lg p-4 space-y-3 bg-muted/30">
|
||||
<div className="flex items-center gap-2 text-sm font-medium">
|
||||
<TrendingUp className="h-4 w-4" />
|
||||
Dynamic Range Analysis
|
||||
</div>
|
||||
|
||||
<div className="grid grid-cols-3 gap-3 text-sm">
|
||||
<div>
|
||||
<p className="text-xs text-muted-foreground">Dynamic Range</p>
|
||||
<p className="font-semibold">{formatNumber(result.dynamic_range)} dB</p>
|
||||
</div>
|
||||
<div>
|
||||
<p className="text-xs text-muted-foreground">Peak Level</p>
|
||||
<p className="font-semibold">{formatNumber(result.peak_amplitude)} dB</p>
|
||||
</div>
|
||||
<div>
|
||||
<p className="text-xs text-muted-foreground">RMS Level</p>
|
||||
<p className="font-semibold">{formatNumber(result.rms_level)} dB</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Technical Info Footer */}
|
||||
<div className="pt-2 border-t">
|
||||
<p className="text-xs text-muted-foreground">
|
||||
Total Samples: {result.total_samples.toLocaleString()}
|
||||
</p>
|
||||
</div>
|
||||
</CardContent>
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,143 @@
|
||||
import { useState } from "react";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import {
|
||||
Dialog,
|
||||
DialogContent,
|
||||
DialogTitle,
|
||||
DialogTrigger,
|
||||
} from "@/components/ui/dialog";
|
||||
import {
|
||||
Tooltip,
|
||||
TooltipContent,
|
||||
TooltipTrigger,
|
||||
} from "@/components/ui/tooltip";
|
||||
import { Activity, Upload, X } from "lucide-react";
|
||||
import { AudioAnalysis } from "@/components/AudioAnalysis";
|
||||
import { SpectrumVisualization } from "@/components/SpectrumVisualization";
|
||||
import { useAudioAnalysis } from "@/hooks/useAudioAnalysis";
|
||||
import { SelectFile } from "../../wailsjs/go/main/App";
|
||||
import { toastWithSound as toast } from "@/lib/toast-with-sound";
|
||||
|
||||
export function AudioAnalysisDialog() {
|
||||
const [open, setOpen] = useState(false);
|
||||
const { analyzing, result, analyzeFile, clearResult } = useAudioAnalysis();
|
||||
const [selectedFilePath, setSelectedFilePath] = useState<string>("");
|
||||
|
||||
const handleSelectFile = async () => {
|
||||
try {
|
||||
const filePath = await SelectFile();
|
||||
if (filePath) {
|
||||
setSelectedFilePath(filePath);
|
||||
await analyzeFile(filePath);
|
||||
}
|
||||
} catch (err) {
|
||||
toast.error("File Selection Failed", {
|
||||
description: err instanceof Error ? err.message : "Failed to select file",
|
||||
});
|
||||
}
|
||||
};
|
||||
|
||||
const handleClose = () => {
|
||||
setOpen(false);
|
||||
setTimeout(() => {
|
||||
clearResult();
|
||||
setSelectedFilePath("");
|
||||
}, 200);
|
||||
};
|
||||
|
||||
return (
|
||||
<Dialog open={open} onOpenChange={(isOpen) => {
|
||||
if (!isOpen) {
|
||||
handleClose();
|
||||
} else {
|
||||
setOpen(true);
|
||||
}
|
||||
}}>
|
||||
<Tooltip>
|
||||
<TooltipTrigger asChild>
|
||||
<DialogTrigger asChild>
|
||||
<Button variant="outline" size="icon">
|
||||
<Activity className="h-5 w-5" />
|
||||
</Button>
|
||||
</DialogTrigger>
|
||||
</TooltipTrigger>
|
||||
<TooltipContent side="left">
|
||||
<p>Audio Quality Analyzer</p>
|
||||
</TooltipContent>
|
||||
</Tooltip>
|
||||
<DialogContent className="sm:max-w-[900px] max-h-[90vh] overflow-y-auto flex flex-col p-6 [&>button]:hidden custom-scrollbar" aria-describedby={undefined}>
|
||||
<div className="absolute right-4 top-4">
|
||||
<Button
|
||||
variant="ghost"
|
||||
size="icon"
|
||||
className="h-6 w-6 opacity-70 hover:opacity-100"
|
||||
onClick={handleClose}
|
||||
>
|
||||
<X className="h-4 w-4" />
|
||||
</Button>
|
||||
</div>
|
||||
|
||||
<DialogTitle className="text-sm font-medium">Audio Quality Analyzer</DialogTitle>
|
||||
|
||||
<div className="space-y-4">
|
||||
{/* File Selection */}
|
||||
{!result && !analyzing && (
|
||||
<div className="flex flex-col items-center justify-center py-12 border-2 border-dashed rounded-lg">
|
||||
<Activity className="h-16 w-16 text-muted-foreground/50 mb-4" />
|
||||
<h3 className="text-lg font-medium mb-2">Analyze FLAC Audio Quality</h3>
|
||||
<p className="text-sm text-muted-foreground mb-6 text-center max-w-md">
|
||||
Upload a FLAC file to verify true lossless quality, view detailed technical specifications, and see the frequency spectrum
|
||||
</p>
|
||||
<Button onClick={handleSelectFile} size="lg">
|
||||
<Upload className="h-5 w-5" />
|
||||
Select FLAC File
|
||||
</Button>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* Analysis Results */}
|
||||
{result && (
|
||||
<div className="space-y-4">
|
||||
{/* File Info */}
|
||||
<div className="p-3 bg-muted/30 rounded-lg">
|
||||
<p className="text-xs text-muted-foreground">Analyzing file:</p>
|
||||
<p className="text-sm font-mono truncate">{selectedFilePath}</p>
|
||||
</div>
|
||||
|
||||
{/* Spectrum Visualization */}
|
||||
<SpectrumVisualization
|
||||
sampleRate={result.sample_rate}
|
||||
bitsPerSample={result.bits_per_sample}
|
||||
duration={result.duration}
|
||||
spectrumData={result.spectrum}
|
||||
/>
|
||||
|
||||
{/* Detailed Analysis */}
|
||||
<AudioAnalysis
|
||||
result={result}
|
||||
analyzing={analyzing}
|
||||
showAnalyzeButton={false}
|
||||
/>
|
||||
|
||||
{/* Actions */}
|
||||
<div className="flex gap-2 justify-end pt-2">
|
||||
<Button onClick={handleSelectFile} variant="outline">
|
||||
<Upload className="h-4 w-4" />
|
||||
Analyze Another File
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* Loading State */}
|
||||
{analyzing && !result && (
|
||||
<div className="flex flex-col items-center justify-center py-12">
|
||||
<div className="animate-spin rounded-full h-12 w-12 border-b-2 border-primary mb-4"></div>
|
||||
<p className="text-sm text-muted-foreground">Analyzing audio file...</p>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</DialogContent>
|
||||
</Dialog>
|
||||
);
|
||||
}
|
||||
@@ -1,6 +1,7 @@
|
||||
import { Button } from "@/components/ui/button";
|
||||
import { Badge } from "@/components/ui/badge";
|
||||
import { Settings } from "@/components/Settings";
|
||||
import { AudioAnalysisDialog } from "@/components/AudioAnalysisDialog";
|
||||
import {
|
||||
Tooltip,
|
||||
TooltipContent,
|
||||
@@ -72,6 +73,7 @@ export function Header({ version, hasUpdate }: HeaderProps) {
|
||||
<p>Report bug or request feature</p>
|
||||
</TooltipContent>
|
||||
</Tooltip>
|
||||
<AudioAnalysisDialog />
|
||||
<Settings />
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -0,0 +1,275 @@
|
||||
import { useEffect, useRef } from "react";
|
||||
import type { SpectrumData } from "@/types/api";
|
||||
|
||||
interface SpectrumVisualizationProps {
|
||||
sampleRate: number;
|
||||
bitsPerSample: number;
|
||||
duration: number;
|
||||
spectrumData?: SpectrumData;
|
||||
}
|
||||
|
||||
export function SpectrumVisualization({
|
||||
sampleRate,
|
||||
bitsPerSample,
|
||||
duration,
|
||||
spectrumData,
|
||||
}: SpectrumVisualizationProps) {
|
||||
const canvasRef = useRef<HTMLCanvasElement>(null);
|
||||
|
||||
useEffect(() => {
|
||||
const canvas = canvasRef.current;
|
||||
if (!canvas) return;
|
||||
|
||||
const ctx = canvas.getContext("2d");
|
||||
if (!ctx) return;
|
||||
|
||||
const width = canvas.width;
|
||||
const height = canvas.height;
|
||||
|
||||
// Calculate margins for labels
|
||||
const marginLeft = 80;
|
||||
const marginRight = 80;
|
||||
const marginTop = 20;
|
||||
const marginBottom = 50;
|
||||
|
||||
const plotWidth = width - marginLeft - marginRight;
|
||||
const plotHeight = height - marginTop - marginBottom;
|
||||
|
||||
// Black background like Spek
|
||||
ctx.fillStyle = "#000000";
|
||||
ctx.fillRect(0, 0, width, height);
|
||||
|
||||
// Calculate Nyquist frequency
|
||||
const nyquistFreq = sampleRate / 2;
|
||||
|
||||
if (spectrumData) {
|
||||
drawRealSpectrum(
|
||||
ctx,
|
||||
marginLeft,
|
||||
marginTop,
|
||||
plotWidth,
|
||||
plotHeight,
|
||||
spectrumData
|
||||
);
|
||||
|
||||
drawGrid(ctx, marginLeft, marginTop, plotWidth, plotHeight, nyquistFreq);
|
||||
}
|
||||
}, [sampleRate, bitsPerSample, duration, spectrumData]);
|
||||
|
||||
const drawRealSpectrum = (
|
||||
ctx: CanvasRenderingContext2D,
|
||||
x: number,
|
||||
y: number,
|
||||
width: number,
|
||||
height: number,
|
||||
spectrum: SpectrumData
|
||||
) => {
|
||||
const timeSlices = spectrum.time_slices;
|
||||
if (timeSlices.length === 0) return;
|
||||
|
||||
const freqBins = timeSlices[0].magnitudes.length;
|
||||
const nyquistFreq = spectrum.max_freq;
|
||||
|
||||
let minDB = 0;
|
||||
let maxDB = -120;
|
||||
|
||||
timeSlices.forEach((slice) => {
|
||||
slice.magnitudes.forEach((db) => {
|
||||
if (db > maxDB) maxDB = db;
|
||||
if (db < minDB) minDB = db;
|
||||
});
|
||||
});
|
||||
|
||||
const dbRange = maxDB - minDB;
|
||||
|
||||
for (let t = 0; t < timeSlices.length; t++) {
|
||||
const slice = timeSlices[t];
|
||||
const xPos = x + (t / timeSlices.length) * width;
|
||||
const sliceWidth = Math.max(1, width / timeSlices.length);
|
||||
|
||||
for (let f = 0; f < freqBins && f < slice.magnitudes.length; f++) {
|
||||
const db = slice.magnitudes[f];
|
||||
|
||||
// Linear frequency scale like Spek
|
||||
const freq = (f / freqBins) * nyquistFreq;
|
||||
const freqRatio = freq / nyquistFreq;
|
||||
|
||||
const yPos = y + height - (freqRatio * height);
|
||||
|
||||
// Calculate next frequency bin position
|
||||
const nextFreq = ((f + 1) / freqBins) * nyquistFreq;
|
||||
const nextFreqRatio = nextFreq / nyquistFreq;
|
||||
const nextYPos = y + height - (nextFreqRatio * height);
|
||||
|
||||
const binHeight = Math.max(1, Math.abs(yPos - nextYPos) + 1);
|
||||
|
||||
const intensity = (db - minDB) / dbRange;
|
||||
|
||||
const color = getSpekColor(intensity);
|
||||
ctx.fillStyle = color;
|
||||
ctx.fillRect(xPos, nextYPos, sliceWidth, binHeight);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
const getSpekColor = (intensity: number): string => {
|
||||
// Enhanced color scheme - better than Spek
|
||||
if (intensity < 0.10) {
|
||||
// Deep black to dark blue
|
||||
const t = intensity / 0.10;
|
||||
return `rgb(0, 0, ${Math.floor(t * 100)})`;
|
||||
} else if (intensity < 0.25) {
|
||||
// Dark blue to bright blue
|
||||
const t = (intensity - 0.10) / 0.15;
|
||||
return `rgb(0, ${Math.floor(t * 50)}, ${Math.floor(100 + t * 155)})`;
|
||||
} else if (intensity < 0.40) {
|
||||
// Blue to cyan
|
||||
const t = (intensity - 0.25) / 0.15;
|
||||
return `rgb(0, ${Math.floor(50 + t * 205)}, 255)`;
|
||||
} else if (intensity < 0.55) {
|
||||
// Cyan to green
|
||||
const t = (intensity - 0.40) / 0.15;
|
||||
return `rgb(0, 255, ${Math.floor(255 - t * 200)})`;
|
||||
} else if (intensity < 0.70) {
|
||||
// Green to yellow
|
||||
const t = (intensity - 0.55) / 0.15;
|
||||
return `rgb(${Math.floor(t * 255)}, 255, ${Math.floor(55 - t * 55)})`;
|
||||
} else if (intensity < 0.85) {
|
||||
// Yellow to orange
|
||||
const t = (intensity - 0.70) / 0.15;
|
||||
return `rgb(255, ${Math.floor(255 - t * 100)}, 0)`;
|
||||
} else {
|
||||
// Orange to red
|
||||
const t = (intensity - 0.85) / 0.15;
|
||||
return `rgb(255, ${Math.floor(155 - t * 155)}, ${Math.floor(t * 30)})`;
|
||||
}
|
||||
};
|
||||
|
||||
const drawGrid = (
|
||||
ctx: CanvasRenderingContext2D,
|
||||
x: number,
|
||||
y: number,
|
||||
width: number,
|
||||
height: number,
|
||||
nyquistFreq: number
|
||||
) => {
|
||||
// Enhanced grid lines
|
||||
ctx.strokeStyle = "rgba(255, 255, 255, 0.08)";
|
||||
ctx.lineWidth = 1;
|
||||
|
||||
// Dynamic frequency grid lines based on Nyquist frequency
|
||||
const generateFreqLines = (maxFreq: number): number[] => {
|
||||
if (maxFreq <= 24000) {
|
||||
// Standard 44.1/48 kHz (Nyquist ~22/24 kHz)
|
||||
return [1000, 2000, 5000, 10000, 15000, 20000];
|
||||
} else if (maxFreq <= 48000) {
|
||||
// 88.2/96 kHz (Nyquist ~44/48 kHz)
|
||||
return [5000, 10000, 20000, 30000, 40000];
|
||||
} else if (maxFreq <= 96000) {
|
||||
// 176.4/192 kHz (Nyquist ~88/96 kHz)
|
||||
return [10000, 20000, 40000, 60000, 80000];
|
||||
} else {
|
||||
// 352.8/384 kHz and higher (Nyquist ~176/192+ kHz)
|
||||
return [20000, 40000, 80000, 120000, 160000];
|
||||
}
|
||||
};
|
||||
|
||||
const freqLines = generateFreqLines(nyquistFreq);
|
||||
|
||||
freqLines.forEach(freq => {
|
||||
if (freq <= nyquistFreq) {
|
||||
const freqRatio = freq / nyquistFreq;
|
||||
const yPos = y + height - (freqRatio * height);
|
||||
|
||||
ctx.beginPath();
|
||||
ctx.moveTo(x, yPos);
|
||||
ctx.lineTo(x + width, yPos);
|
||||
ctx.stroke();
|
||||
}
|
||||
});
|
||||
|
||||
// Vertical time grid lines
|
||||
for (let i = 1; i < 10; i++) {
|
||||
const xPos = x + (i / 10) * width;
|
||||
ctx.beginPath();
|
||||
ctx.moveTo(xPos, y);
|
||||
ctx.lineTo(xPos, y + height);
|
||||
ctx.stroke();
|
||||
}
|
||||
|
||||
ctx.fillStyle = "rgba(220, 220, 220, 0.9)";
|
||||
ctx.font = "11px Arial";
|
||||
|
||||
// Frequency labels - dynamic formatting
|
||||
freqLines.forEach(freq => {
|
||||
if (freq <= nyquistFreq) {
|
||||
const freqRatio = freq / nyquistFreq;
|
||||
const yPos = y + height - (freqRatio * height);
|
||||
const label = freq >= 1000 ? `${freq / 1000}k` : `${freq}`;
|
||||
|
||||
ctx.textAlign = "right";
|
||||
ctx.textBaseline = "middle";
|
||||
ctx.fillText(label, x - 6, yPos);
|
||||
}
|
||||
});
|
||||
|
||||
// Time labels
|
||||
ctx.textAlign = "center";
|
||||
ctx.textBaseline = "top";
|
||||
for (let i = 0; i <= 10; i++) {
|
||||
const timePos = x + (i / 10) * width;
|
||||
const timeValue = (i / 10) * duration;
|
||||
if (i % 2 === 0) {
|
||||
ctx.fillText(timeValue.toFixed(1), timePos, y + height + 5);
|
||||
}
|
||||
}
|
||||
|
||||
ctx.fillStyle = "#FFFFFF";
|
||||
ctx.font = "bold 13px Arial";
|
||||
ctx.shadowColor = "rgba(0, 0, 0, 0.8)";
|
||||
ctx.shadowBlur = 4;
|
||||
|
||||
ctx.save();
|
||||
ctx.translate(8, y + height / 2);
|
||||
ctx.rotate(-Math.PI / 2);
|
||||
ctx.textAlign = "center";
|
||||
ctx.fillText("Frequency (kHz)", 0, 0);
|
||||
ctx.restore();
|
||||
|
||||
ctx.textAlign = "center";
|
||||
ctx.fillText("Time (s)", x + width / 2, y + height + 26);
|
||||
ctx.shadowBlur = 0;
|
||||
|
||||
const boxGradient = ctx.createLinearGradient(x + width - 200, y + 5, x + width - 200, y + 68);
|
||||
boxGradient.addColorStop(0, "rgba(0, 0, 0, 0.85)");
|
||||
boxGradient.addColorStop(1, "rgba(0, 0, 0, 0.7)");
|
||||
ctx.fillStyle = boxGradient;
|
||||
ctx.fillRect(x + width - 200, y + 5, 190, 63);
|
||||
|
||||
ctx.strokeStyle = "rgba(255, 255, 255, 0.15)";
|
||||
ctx.lineWidth = 1.5;
|
||||
ctx.strokeRect(x + width - 200, y + 5, 190, 63);
|
||||
|
||||
ctx.fillStyle = "#FFFFFF";
|
||||
ctx.font = "600 11px Arial";
|
||||
ctx.textAlign = "left";
|
||||
ctx.shadowColor = "rgba(0, 0, 0, 0.5)";
|
||||
ctx.shadowBlur = 2;
|
||||
ctx.fillText(`Sample Rate: ${(sampleRate / 1000).toFixed(1)} kHz`, x + width - 190, y + 20);
|
||||
ctx.fillText(`Bit Depth: ${bitsPerSample}-bit`, x + width - 190, y + 36);
|
||||
ctx.fillText(`Nyquist: ${(nyquistFreq / 1000).toFixed(1)} kHz`, x + width - 190, y + 52);
|
||||
ctx.shadowBlur = 0;
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="border border-white/10 rounded-lg overflow-hidden bg-black shadow-xl">
|
||||
<canvas
|
||||
ref={canvasRef}
|
||||
width={1600}
|
||||
height={800}
|
||||
className="w-full h-auto"
|
||||
style={{ imageRendering: "auto" }}
|
||||
/>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,60 @@
|
||||
import { useState, useCallback } from "react";
|
||||
import { AnalyzeTrack } from "../../wailsjs/go/main/App";
|
||||
import type { AnalysisResult } from "@/types/api";
|
||||
import { logger } from "@/lib/logger";
|
||||
import { toastWithSound as toast } from "@/lib/toast-with-sound";
|
||||
|
||||
export function useAudioAnalysis() {
|
||||
const [analyzing, setAnalyzing] = useState(false);
|
||||
const [result, setResult] = useState<AnalysisResult | null>(null);
|
||||
const [error, setError] = useState<string | null>(null);
|
||||
|
||||
const analyzeFile = useCallback(async (filePath: string) => {
|
||||
if (!filePath) {
|
||||
setError("No file path provided");
|
||||
return null;
|
||||
}
|
||||
|
||||
setAnalyzing(true);
|
||||
setError(null);
|
||||
setResult(null);
|
||||
|
||||
try {
|
||||
logger.info(`Analyzing audio file: ${filePath}`);
|
||||
const startTime = Date.now();
|
||||
|
||||
const response = await AnalyzeTrack(filePath);
|
||||
const analysisResult: AnalysisResult = JSON.parse(response);
|
||||
|
||||
const elapsed = ((Date.now() - startTime) / 1000).toFixed(2);
|
||||
logger.success(`Audio analysis completed in ${elapsed}s`);
|
||||
|
||||
setResult(analysisResult);
|
||||
|
||||
return analysisResult;
|
||||
} catch (err) {
|
||||
const errorMessage = err instanceof Error ? err.message : "Failed to analyze audio file";
|
||||
logger.error(`Analysis error: ${errorMessage}`);
|
||||
setError(errorMessage);
|
||||
toast.error("Audio Analysis Failed", {
|
||||
description: errorMessage,
|
||||
});
|
||||
return null;
|
||||
} finally {
|
||||
setAnalyzing(false);
|
||||
}
|
||||
}, []);
|
||||
|
||||
const clearResult = useCallback(() => {
|
||||
setResult(null);
|
||||
setError(null);
|
||||
}, []);
|
||||
|
||||
return {
|
||||
analyzing,
|
||||
result,
|
||||
error,
|
||||
analyzeFile,
|
||||
clearResult,
|
||||
};
|
||||
}
|
||||
@@ -138,3 +138,30 @@ export interface HealthResponse {
|
||||
status: string;
|
||||
time: string;
|
||||
}
|
||||
|
||||
export interface TimeSlice {
|
||||
time: number;
|
||||
magnitudes: number[];
|
||||
}
|
||||
|
||||
export interface SpectrumData {
|
||||
time_slices: TimeSlice[];
|
||||
sample_rate: number;
|
||||
freq_bins: number;
|
||||
duration: number;
|
||||
max_freq: number;
|
||||
}
|
||||
|
||||
export interface AnalysisResult {
|
||||
file_path: string;
|
||||
sample_rate: number;
|
||||
channels: number;
|
||||
bits_per_sample: number;
|
||||
total_samples: number;
|
||||
duration: number;
|
||||
bit_depth: string;
|
||||
dynamic_range: number;
|
||||
peak_amplitude: number;
|
||||
rms_level: number;
|
||||
spectrum?: SpectrumData;
|
||||
}
|
||||
|
||||
@@ -6,6 +6,7 @@ require (
|
||||
github.com/go-flac/flacpicture v0.3.0
|
||||
github.com/go-flac/flacvorbis v0.2.0
|
||||
github.com/go-flac/go-flac v1.0.0
|
||||
github.com/mewkiz/flac v1.0.13
|
||||
github.com/wailsapp/wails/v2 v2.11.0
|
||||
)
|
||||
|
||||
@@ -15,6 +16,7 @@ require (
|
||||
github.com/godbus/dbus/v5 v5.2.0 // indirect
|
||||
github.com/google/uuid v1.6.0 // indirect
|
||||
github.com/gorilla/websocket v1.5.3 // indirect
|
||||
github.com/icza/bitio v1.1.0 // indirect
|
||||
github.com/jchv/go-winloader v0.0.0-20250406163304-c1995be93bd1 // indirect
|
||||
github.com/labstack/echo/v4 v4.13.4 // indirect
|
||||
github.com/labstack/gommon v0.4.2 // indirect
|
||||
@@ -24,6 +26,8 @@ require (
|
||||
github.com/leaanthony/u v1.1.1 // indirect
|
||||
github.com/mattn/go-colorable v0.1.14 // indirect
|
||||
github.com/mattn/go-isatty v0.0.20 // indirect
|
||||
github.com/mewkiz/pkg v0.0.0-20250417130911-3f050ff8c56d // indirect
|
||||
github.com/mewpkg/term v0.0.0-20241026122259-37a80af23985 // indirect
|
||||
github.com/pkg/browser v0.0.0-20240102092130-5ac0b6a4141c // indirect
|
||||
github.com/pkg/errors v0.9.1 // indirect
|
||||
github.com/rivo/uniseg v0.4.7 // indirect
|
||||
|
||||
@@ -16,6 +16,10 @@ github.com/google/uuid v1.6.0 h1:NIvaJDMOsjHA8n1jAhLSgzrAzy1Hgr+hNrb57e+94F0=
|
||||
github.com/google/uuid v1.6.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo=
|
||||
github.com/gorilla/websocket v1.5.3 h1:saDtZ6Pbx/0u+bgYQ3q96pZgCzfhKXGPqt7kZ72aNNg=
|
||||
github.com/gorilla/websocket v1.5.3/go.mod h1:YR8l580nyteQvAITg2hZ9XVh4b55+EU/adAjf1fMHhE=
|
||||
github.com/icza/bitio v1.1.0 h1:ysX4vtldjdi3Ygai5m1cWy4oLkhWTAi+SyO6HC8L9T0=
|
||||
github.com/icza/bitio v1.1.0/go.mod h1:0jGnlLAx8MKMr9VGnn/4YrvZiprkvBelsVIbA9Jjr9A=
|
||||
github.com/icza/mighty v0.0.0-20180919140131-cfd07d671de6 h1:8UsGZ2rr2ksmEru6lToqnXgA8Mz1DP11X4zSJ159C3k=
|
||||
github.com/icza/mighty v0.0.0-20180919140131-cfd07d671de6/go.mod h1:xQig96I1VNBDIWGCdTt54nHt6EeI639SmHycLYL7FkA=
|
||||
github.com/jchv/go-winloader v0.0.0-20250406163304-c1995be93bd1 h1:njuLRcjAuMKr7kI3D85AXWkw6/+v9PwtV6M6o11sWHQ=
|
||||
github.com/jchv/go-winloader v0.0.0-20250406163304-c1995be93bd1/go.mod h1:alcuEEnZsY1WQsagKhZDsoPCRoOijYqhZvPwLG0kzVs=
|
||||
github.com/labstack/echo/v4 v4.13.4 h1:oTZZW+T3s9gAu5L8vmzihV7/lkXGZuITzTQkTEhcXEA=
|
||||
@@ -39,6 +43,12 @@ github.com/mattn/go-colorable v0.1.14 h1:9A9LHSqF/7dyVVX6g0U9cwm9pG3kP9gSzcuIPHP
|
||||
github.com/mattn/go-colorable v0.1.14/go.mod h1:6LmQG8QLFO4G5z1gPvYEzlUgJ2wF+stgPZH1UqBm1s8=
|
||||
github.com/mattn/go-isatty v0.0.20 h1:xfD0iDuEKnDkl03q4limB+vH+GxLEtL/jb4xVJSWWEY=
|
||||
github.com/mattn/go-isatty v0.0.20/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
|
||||
github.com/mewkiz/flac v1.0.13 h1:6wF8rRQKBFW159Daqx6Ro7K5ZnlVhHUKfS5aTsC4oXs=
|
||||
github.com/mewkiz/flac v1.0.13/go.mod h1:HfPYDA+oxjyuqMu2V+cyKcxF51KM6incpw5eZXmfA6k=
|
||||
github.com/mewkiz/pkg v0.0.0-20250417130911-3f050ff8c56d h1:IL2tii4jXLdhCeQN69HNzYYW1kl0meSG0wt5+sLwszU=
|
||||
github.com/mewkiz/pkg v0.0.0-20250417130911-3f050ff8c56d/go.mod h1:SIpumAnUWSy0q9RzKD3pyH3g1t5vdawUAPcW5tQrUtI=
|
||||
github.com/mewpkg/term v0.0.0-20241026122259-37a80af23985 h1:h8O1byDZ1uk6RUXMhj1QJU3VXFKXHDZxr4TXRPGeBa8=
|
||||
github.com/mewpkg/term v0.0.0-20241026122259-37a80af23985/go.mod h1:uiPmbdUbdt1NkGApKl7htQjZ8S7XaGUAVulJUJ9v6q4=
|
||||
github.com/pkg/browser v0.0.0-20240102092130-5ac0b6a4141c h1:+mdjkGKdHQG3305AYmdv1U2eRNDiU2ErMBj1gwrq8eQ=
|
||||
github.com/pkg/browser v0.0.0-20240102092130-5ac0b6a4141c/go.mod h1:7rwL4CYBLnjLxUqIJNnCWiEdr3bn6IUYi15bNlnbCCU=
|
||||
github.com/pkg/errors v0.9.1 h1:FEBLx1zS214owpjy7qsBeixbURkuhQAwrK5UwLGTwt4=
|
||||
|
||||
Reference in New Issue
Block a user