Files
audio-ui/components/analysis/Spectrogram.tsx
Sebastian Krüger 87771a5125 fix: resolve TypeScript type errors
Fixed several TypeScript issues:
- Changed 'formatter' to 'formatValue' in CircularKnob props
- Added explicit type annotations for formatValue functions
- Initialized animationFrameRef with undefined value
- Removed unused Waveform import from TrackControls

All type checks now pass.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-19 01:52:06 +01:00

135 lines
4.1 KiB
TypeScript

'use client';
import * as React from 'react';
import { cn } from '@/lib/utils/cn';
export interface SpectrogramProps {
analyserNode: AnalyserNode | null;
className?: string;
}
export function Spectrogram({ analyserNode, className }: SpectrogramProps) {
const canvasRef = React.useRef<HTMLCanvasElement>(null);
const animationFrameRef = React.useRef<number | undefined>(undefined);
const spectrogramDataRef = React.useRef<ImageData | null>(null);
React.useEffect(() => {
if (!analyserNode || !canvasRef.current) return;
const canvas = canvasRef.current;
const ctx = canvas.getContext('2d');
if (!ctx) return;
// Set canvas size
const dpr = window.devicePixelRatio || 1;
const rect = canvas.getBoundingClientRect();
canvas.width = rect.width * dpr;
canvas.height = rect.height * dpr;
ctx.scale(dpr, dpr);
const bufferLength = analyserNode.frequencyBinCount;
const dataArray = new Uint8Array(bufferLength);
// Initialize spectrogram data
spectrogramDataRef.current = ctx.createImageData(rect.width, rect.height);
const draw = () => {
animationFrameRef.current = requestAnimationFrame(draw);
analyserNode.getByteFrequencyData(dataArray);
if (!spectrogramDataRef.current) return;
const imageData = spectrogramDataRef.current;
// Shift existing data to the left by 1 pixel
for (let y = 0; y < rect.height; y++) {
for (let x = 0; x < rect.width - 1; x++) {
const sourceIndex = ((y * rect.width) + x + 1) * 4;
const targetIndex = ((y * rect.width) + x) * 4;
imageData.data[targetIndex] = imageData.data[sourceIndex];
imageData.data[targetIndex + 1] = imageData.data[sourceIndex + 1];
imageData.data[targetIndex + 2] = imageData.data[sourceIndex + 2];
imageData.data[targetIndex + 3] = imageData.data[sourceIndex + 3];
}
}
// Add new column on the right
const x = rect.width - 1;
for (let y = 0; y < rect.height; y++) {
// Map frequency bins to canvas height (inverted)
const freqIndex = Math.floor((1 - y / rect.height) * bufferLength);
const value = dataArray[freqIndex];
// Color mapping with transparency: transparent (0) -> blue -> cyan -> green -> yellow -> red (255)
let r, g, b, a;
if (value < 64) {
// Transparent to blue
const t = value / 64;
r = 0;
g = 0;
b = Math.round(255 * t);
a = Math.round(255 * t);
} else if (value < 128) {
// Blue to cyan
r = 0;
g = (value - 64) * 4;
b = 255;
a = 255;
} else if (value < 192) {
// Cyan to green
r = 0;
g = 255;
b = 255 - (value - 128) * 4;
a = 255;
} else {
// Green to yellow to red
r = (value - 192) * 4;
g = 255;
b = 0;
a = 255;
}
const index = ((y * rect.width) + x) * 4;
imageData.data[index] = r;
imageData.data[index + 1] = g;
imageData.data[index + 2] = b;
imageData.data[index + 3] = a;
}
// Draw the spectrogram
ctx.putImageData(imageData, 0, 0);
// Draw frequency labels
ctx.fillStyle = 'rgba(255, 255, 255, 0.8)';
ctx.font = '10px monospace';
ctx.textAlign = 'left';
ctx.fillText('20kHz', 5, 12);
ctx.fillText('1kHz', 5, rect.height / 2);
ctx.fillText('20Hz', 5, rect.height - 5);
};
draw();
return () => {
if (animationFrameRef.current) {
cancelAnimationFrame(animationFrameRef.current);
}
};
}, [analyserNode]);
return (
<div className={cn('w-full h-full bg-card/50 border-2 border-accent/50 rounded-lg p-2', className)}>
<div className="text-[10px] font-bold text-accent uppercase tracking-wider mb-2">
Spectrogram
</div>
<div className="w-full h-[calc(100%-24px)] rounded bg-muted/30">
<canvas
ref={canvasRef}
className="w-full h-full rounded"
/>
</div>
</div>
);
}