feat: mediabunny + preview canvas refactor

This commit is contained in:
Maze Winther
2025-08-23 11:00:59 +02:00
parent 7756ed0d80
commit a4f2273e25
7 changed files with 593 additions and 462 deletions
+7 -18
View File
@@ -6,7 +6,7 @@ import {
getImageDimensions,
type MediaItem,
} from "@/stores/media-store";
import { generateThumbnail, getVideoInfo } from "./ffmpeg-utils";
import { generateThumbnail, getVideoInfo } from "./mediabunny-utils";
export interface ProcessedMediaItem extends Omit<MediaItem, "id"> {}
@@ -37,33 +37,23 @@ export async function processMediaFiles(
try {
if (fileType === "image") {
// Get image dimensions
const dimensions = await getImageDimensions(file);
width = dimensions.width;
height = dimensions.height;
} else if (fileType === "video") {
try {
// Use FFmpeg for comprehensive video info extraction
const videoInfo = await getVideoInfo(file);
const videoInfo = await getVideoInfo({ videoFile: file });
duration = videoInfo.duration;
width = videoInfo.width;
height = videoInfo.height;
fps = videoInfo.fps;
// Generate thumbnail using FFmpeg
thumbnailUrl = await generateThumbnail(file, 1);
thumbnailUrl = await generateThumbnail({
videoFile: file,
timeInSeconds: 1,
});
} catch (error) {
console.warn(
"FFmpeg processing failed, falling back to basic processing:",
error
);
// Fallback to basic processing
const videoResult = await generateVideoThumbnail(file);
thumbnailUrl = videoResult.thumbnailUrl;
width = videoResult.width;
height = videoResult.height;
duration = await getMediaDuration(file);
// FPS will remain undefined for fallback
console.warn("Video processing failed", error);
}
} else if (fileType === "audio") {
// For audio, we don't set width/height/fps (they'll be undefined)
@@ -82,7 +72,6 @@ export async function processMediaFiles(
fps,
});
// Yield back to the event loop to keep the UI responsive
await new Promise((resolve) => setTimeout(resolve, 0));
completed += 1;
@@ -1,7 +1,7 @@
import { FFmpeg } from "@ffmpeg/ffmpeg";
import { toBlobURL } from "@ffmpeg/util";
import { useTimelineStore } from "@/stores/timeline-store";
import { useMediaStore } from "@/stores/media-store";
import { Input, ALL_FORMATS, BlobSource, VideoSampleSink } from "mediabunny";
let ffmpeg: FFmpeg | null = null;
@@ -14,256 +14,99 @@ export const initFFmpeg = async (): Promise<FFmpeg> => {
return ffmpeg;
};
export const generateThumbnail = async (
videoFile: File,
timeInSeconds = 1
): Promise<string> => {
const ffmpeg = await initFFmpeg();
export async function generateThumbnail({
videoFile,
timeInSeconds,
}: {
videoFile: File;
timeInSeconds: number;
}): Promise<string> {
const input = new Input({
source: new BlobSource(videoFile),
formats: ALL_FORMATS,
});
const inputName = "input.mp4";
const outputName = "thumbnail.jpg";
// Write input file
await ffmpeg.writeFile(
inputName,
new Uint8Array(await videoFile.arrayBuffer())
);
// Generate thumbnail at specific time
await ffmpeg.exec([
"-i",
inputName,
"-ss",
timeInSeconds.toString(),
"-vframes",
"1",
"-vf",
"scale=320:240",
"-q:v",
"2",
outputName,
]);
// Read output file
const data = await ffmpeg.readFile(outputName);
const blob = new Blob([data], { type: "image/jpeg" });
// Cleanup
await ffmpeg.deleteFile(inputName);
await ffmpeg.deleteFile(outputName);
return URL.createObjectURL(blob);
};
export const trimVideo = async (
videoFile: File,
startTime: number,
endTime: number,
onProgress?: (progress: number) => void
): Promise<Blob> => {
const ffmpeg = await initFFmpeg();
const inputName = "input.mp4";
const outputName = "output.mp4";
// Set up progress callback
if (onProgress) {
ffmpeg.on("progress", ({ progress }) => {
onProgress(progress * 100);
});
const videoTrack = await input.getPrimaryVideoTrack();
if (!videoTrack) {
throw new Error("No video track found in the file");
}
// Write input file
await ffmpeg.writeFile(
inputName,
new Uint8Array(await videoFile.arrayBuffer())
);
// Check if we can decode this video
const canDecode = await videoTrack.canDecode();
if (!canDecode) {
throw new Error("Video codec not supported for decoding");
}
const duration = endTime - startTime;
const sink = new VideoSampleSink(videoTrack);
// Trim video
await ffmpeg.exec([
"-i",
inputName,
"-ss",
startTime.toString(),
"-t",
duration.toString(),
"-c",
"copy", // Use stream copy for faster processing
outputName,
]);
const frame = await sink.getSample(timeInSeconds);
// Read output file
const data = await ffmpeg.readFile(outputName);
const blob = new Blob([data], { type: "video/mp4" });
if (!frame) {
throw new Error("Could not get frame at specified time");
}
// Cleanup
await ffmpeg.deleteFile(inputName);
await ffmpeg.deleteFile(outputName);
const canvas = document.createElement("canvas");
canvas.width = 320;
canvas.height = 240;
const ctx = canvas.getContext("2d");
return blob;
};
if (!ctx) {
throw new Error("Could not get canvas context");
}
export const getVideoInfo = async (
videoFile: File
): Promise<{
frame.draw(ctx, 0, 0, 320, 240);
return new Promise((resolve, reject) => {
canvas.toBlob(
(blob) => {
if (blob) {
resolve(URL.createObjectURL(blob));
} else {
reject(new Error("Failed to create thumbnail blob"));
}
},
"image/jpeg",
0.8
);
});
}
export async function getVideoInfo({
videoFile,
}: {
videoFile: File;
}): Promise<{
duration: number;
width: number;
height: number;
fps: number;
}> => {
const ffmpeg = await initFFmpeg();
}> {
const input = new Input({
source: new BlobSource(videoFile),
formats: ALL_FORMATS,
});
const inputName = "input.mp4";
const duration = await input.computeDuration();
const videoTrack = await input.getPrimaryVideoTrack();
// Write input file
await ffmpeg.writeFile(
inputName,
new Uint8Array(await videoFile.arrayBuffer())
);
// Capture FFmpeg stderr output with a one-time listener pattern
let ffmpegOutput = "";
let listening = true;
const listener = (data: string) => {
if (listening) ffmpegOutput += data;
};
ffmpeg.on("log", ({ message }) => listener(message));
// Run ffmpeg to get info (stderr will contain the info)
try {
await ffmpeg.exec(["-i", inputName, "-f", "null", "-"]);
} catch (error) {
listening = false;
await ffmpeg.deleteFile(inputName);
console.error("FFmpeg execution failed:", error);
throw new Error(
"Failed to extract video info. The file may be corrupted or in an unsupported format."
);
if (!videoTrack) {
throw new Error("No video track found in the file");
}
// Disable listener after exec completes
listening = false;
// Cleanup
await ffmpeg.deleteFile(inputName);
// Parse output for duration, resolution, and fps
// Example: Duration: 00:00:10.00, start: 0.000000, bitrate: 1234 kb/s
// Example: Stream #0:0: Video: h264 (High), yuv420p(progressive), 1920x1080 [SAR 1:1 DAR 16:9], 30 fps, 30 tbr, 90k tbn, 60 tbc
const durationMatch = ffmpegOutput.match(/Duration: (\d+):(\d+):([\d.]+)/);
let duration = 0;
if (durationMatch) {
const [, h, m, s] = durationMatch;
duration = parseInt(h) * 3600 + parseInt(m) * 60 + parseFloat(s);
}
const videoStreamMatch = ffmpegOutput.match(
/Video:.* (\d+)x(\d+)[^,]*, ([\d.]+) fps/
);
let width = 0,
height = 0,
fps = 0;
if (videoStreamMatch) {
width = parseInt(videoStreamMatch[1]);
height = parseInt(videoStreamMatch[2]);
fps = parseFloat(videoStreamMatch[3]);
}
// Get frame rate from packet statistics
const packetStats = await videoTrack.computePacketStats(100);
const fps = packetStats.averagePacketRate;
return {
duration,
width,
height,
width: videoTrack.displayWidth,
height: videoTrack.displayHeight,
fps,
};
};
export const convertToWebM = async (
videoFile: File,
onProgress?: (progress: number) => void
): Promise<Blob> => {
const ffmpeg = await initFFmpeg();
const inputName = "input.mp4";
const outputName = "output.webm";
// Set up progress callback
if (onProgress) {
ffmpeg.on("progress", ({ progress }) => {
onProgress(progress * 100);
});
}
// Write input file
await ffmpeg.writeFile(
inputName,
new Uint8Array(await videoFile.arrayBuffer())
);
// Convert to WebM
await ffmpeg.exec([
"-i",
inputName,
"-c:v",
"libvpx-vp9",
"-crf",
"30",
"-b:v",
"0",
"-c:a",
"libopus",
outputName,
]);
// Read output file
const data = await ffmpeg.readFile(outputName);
const blob = new Blob([data], { type: "video/webm" });
// Cleanup
await ffmpeg.deleteFile(inputName);
await ffmpeg.deleteFile(outputName);
return blob;
};
export const extractAudio = async (
videoFile: File,
format: "mp3" | "wav" = "mp3"
): Promise<Blob> => {
const ffmpeg = await initFFmpeg();
const inputName = "input.mp4";
const outputName = `output.${format}`;
// Write input file
await ffmpeg.writeFile(
inputName,
new Uint8Array(await videoFile.arrayBuffer())
);
// Extract audio
await ffmpeg.exec([
"-i",
inputName,
"-vn", // Disable video
"-acodec",
format === "mp3" ? "libmp3lame" : "pcm_s16le",
outputName,
]);
// Read output file
const data = await ffmpeg.readFile(outputName);
const blob = new Blob([data], { type: `audio/${format}` });
// Cleanup
await ffmpeg.deleteFile(inputName);
await ffmpeg.deleteFile(outputName);
return blob;
};
}
// Audio mixing for timeline - keeping FFmpeg for now due to complexity
// TODO: Replace with Mediabunny audio processing when implementing canvas preview
export const extractTimelineAudio = async (
onProgress?: (progress: number) => void
): Promise<Blob> => {
+179
View File
@@ -0,0 +1,179 @@
import { Input, ALL_FORMATS, BlobSource, VideoSampleSink } from "mediabunny";
import type { TimelineTrack } from "@/types/timeline";
import type { MediaItem } from "@/stores/media-store";
export interface RenderContext {
ctx: CanvasRenderingContext2D;
time: number;
canvasWidth: number;
canvasHeight: number;
tracks: TimelineTrack[];
mediaItems: MediaItem[];
backgroundColor?: string;
useCache?: boolean;
cache?: Map<
string,
Map<
number,
{
draw: (
c: CanvasRenderingContext2D,
x: number,
y: number,
w: number,
h: number
) => void;
}
>
>;
fps: number;
}
export async function renderTimelineFrame({
ctx,
time,
canvasWidth,
canvasHeight,
tracks,
mediaItems,
backgroundColor,
useCache = true,
cache,
fps,
}: RenderContext): Promise<void> {
// Background
ctx.clearRect(0, 0, canvasWidth, canvasHeight);
if (backgroundColor && backgroundColor !== "transparent") {
ctx.fillStyle = backgroundColor;
ctx.fillRect(0, 0, canvasWidth, canvasHeight);
}
const scaleX = 1;
const scaleY = 1;
const idToMedia = new Map(mediaItems.map((m) => [m.id, m] as const));
const active: Array<{
track: TimelineTrack;
element: TimelineTrack["elements"][number];
mediaItem: MediaItem | null;
}> = [];
for (let t = tracks.length - 1; t >= 0; t -= 1) {
const track = tracks[t];
for (const element of track.elements) {
if ((element as any).hidden) continue;
const elementStart = element.startTime;
const elementEnd =
element.startTime +
(element.duration - element.trimStart - element.trimEnd);
if (time >= elementStart && time < elementEnd) {
let mediaItem: MediaItem | null = null;
if (element.type === "media") {
mediaItem =
element.mediaId === "test"
? null
: idToMedia.get(element.mediaId) || null;
}
active.push({ track, element, mediaItem });
}
}
}
for (const { element, mediaItem } of active) {
if (element.type === "media" && mediaItem) {
if (mediaItem.type === "video") {
const input = new Input({
source: new BlobSource(mediaItem.file),
formats: ALL_FORMATS,
});
const track = await input.getPrimaryVideoTrack();
if (!track) continue;
const decodable = await track.canDecode();
if (!decodable) continue;
const sink = new VideoSampleSink(track);
const localTime = time - element.startTime + element.trimStart;
const sample = await sink.getSample(localTime);
if (!sample) continue;
const mediaW = Math.max(1, mediaItem.width || canvasWidth);
const mediaH = Math.max(1, mediaItem.height || canvasHeight);
const containScale = Math.min(
canvasWidth / mediaW,
canvasHeight / mediaH
);
const drawW = mediaW * containScale;
const drawH = mediaH * containScale;
const drawX = (canvasWidth - drawW) / 2;
const drawY = (canvasHeight - drawH) / 2;
sample.draw(ctx, drawX, drawY, drawW, drawH);
}
if (mediaItem.type === "image") {
const img = new Image();
await new Promise<void>((resolve, reject) => {
img.onload = () => resolve();
img.onerror = () => reject(new Error("Image load failed"));
img.src = mediaItem.url || URL.createObjectURL(mediaItem.file);
});
const mediaW = Math.max(
1,
mediaItem.width || img.naturalWidth || canvasWidth
);
const mediaH = Math.max(
1,
mediaItem.height || img.naturalHeight || canvasHeight
);
const containScale = Math.min(
canvasWidth / mediaW,
canvasHeight / mediaH
);
const drawW = mediaW * containScale;
const drawH = mediaH * containScale;
const drawX = (canvasWidth - drawW) / 2;
const drawY = (canvasHeight - drawH) / 2;
ctx.drawImage(img, drawX, drawY, drawW, drawH);
}
}
if (element.type === "text") {
const posX = canvasWidth / 2 + (element as any).x * scaleX;
const posY = canvasHeight / 2 + (element as any).y * scaleY;
ctx.save();
ctx.translate(posX, posY);
ctx.rotate(((element as any).rotation * Math.PI) / 180);
ctx.globalAlpha = Math.max(0, Math.min(1, (element as any).opacity));
const px = (element as any).fontSize * scaleX;
const weight = (element as any).fontWeight === "bold" ? "bold " : "";
const style = (element as any).fontStyle === "italic" ? "italic " : "";
ctx.font = `${style}${weight}${px}px ${(element as any).fontFamily}`;
ctx.fillStyle = (element as any).color;
ctx.textAlign = (element as any).textAlign;
ctx.textBaseline = "middle";
const metrics = ctx.measureText((element as any).content);
const ascent =
(metrics as unknown as { actualBoundingBoxAscent?: number })
.actualBoundingBoxAscent ?? px * 0.8;
const descent =
(metrics as unknown as { actualBoundingBoxDescent?: number })
.actualBoundingBoxDescent ?? px * 0.2;
const textW = metrics.width;
const textH = ascent + descent;
const padX = 8 * scaleX;
const padY = 4 * scaleX;
if ((element as any).backgroundColor) {
ctx.save();
ctx.fillStyle = (element as any).backgroundColor;
let bgLeft = -textW / 2;
if (ctx.textAlign === "left") bgLeft = 0;
if (ctx.textAlign === "right") bgLeft = -textW;
ctx.fillRect(
bgLeft - padX,
-textH / 2 - padY,
textW + padX * 2,
textH + padY * 2
);
ctx.restore();
}
ctx.fillText((element as any).content, 0, 0);
ctx.restore();
}
}
}