sharp by wasm

This commit is contained in:
seb
2026-10-28 01:46:48 +01:00
parent ccb81cdb26
commit 2d4d894881
12 changed files with 198 additions and 767 deletions

View File

@@ -1,4 +1,4 @@
import sharp from 'sharp';
import { optimizeImage } from 'wasm-image-optimization';
import { encodeRGBA } from 'skelehash-wasm';
import { DELETE_BY_ARTICLE_AND_HASH as MSSQL_QUERY } from '../../providers/mssql/queries/pic.js';
import { DELETE_BY_ARTICLE_AND_HASH as SQLITE_QUERY } from '../../providers/sqlite3/queries/pic.js';
@@ -49,8 +49,8 @@ export default function deleteImage(provider) {
let skelehash = null;
if (thumbBuffer) {
const { data, info } = await sharp(thumbBuffer).ensureAlpha().raw().toBuffer({ resolveWithObject: true });
const res = await encodeRGBA(info.width, info.height, data);
const raw = await optimizeImage({ image: thumbBuffer, format: 'raw' });
const res = await encodeRGBA(raw.width, raw.height, raw.data);
skelehash = res?.base62;
}

View File

@@ -9,7 +9,7 @@ import {
import resolveCategoryAccess from './resolveCategoryAccess.js';
import addImage from './addImage.js';
import makeRunner from '../runner.js';
import sharp from 'sharp';
import { optimizeImage } from 'wasm-image-optimization';
export default function generateImage(provider) {
const access = resolveCategoryAccess(provider);
@@ -148,32 +148,32 @@ export default function generateImage(provider) {
const TOTAL_SIZE = 1200;
const tileSize = TOTAL_SIZE / targetSize;
const composites = await Promise.all(
const tiles = await Promise.all(
finalPics.map(async (pic, idx) => {
const row = Math.floor(idx / targetSize);
const col = idx % targetSize;
const tileBuffer = await sharp(pic.buffer)
.resize(tileSize, tileSize, { fit: 'cover', position: 'center' })
.toBuffer();
return {
input: tileBuffer,
left: col * tileSize,
top: row * tileSize,
};
const tile = await optimizeImage({
image: pic.buffer,
width: tileSize,
height: tileSize,
fit: 'cover',
format: 'png',
});
const b64 = Buffer.from(tile.data).toString('base64');
return `<image href="data:image/png;base64,${b64}" x="${col * tileSize}" y="${row * tileSize}" width="${tileSize}" height="${tileSize}"/>`;
}),
);
const mosaicBuffer = await sharp({
create: {
width: TOTAL_SIZE,
height: TOTAL_SIZE,
channels: 4,
background: { r: 255, g: 255, b: 255, alpha: 1 },
},
})
.composite(composites)
.png()
.toBuffer();
const mosaicSvg =
`<svg xmlns="http://www.w3.org/2000/svg" width="${TOTAL_SIZE}" height="${TOTAL_SIZE}">` +
`<rect width="${TOTAL_SIZE}" height="${TOTAL_SIZE}" fill="#ffffff"/>` +
tiles.join('') +
`</svg>`;
const mosaicRes = await optimizeImage({
image: mosaicSvg,
format: 'png',
});
const mosaicBuffer = Buffer.from(mosaicRes.data);
// Clear existing categorypic rows so the new mosaic becomes the main (first) image
await runner.query('DELETE FROM categorypic WHERE category_id = @categoryId', { categoryId });

View File

@@ -1,5 +1,5 @@
import { createHash } from 'node:crypto';
import sharp from 'sharp';
import { optimizeImage } from 'wasm-image-optimization';
import generateDocumentThumb from '../../util/generateDocumentThumb.js';
import * as mssqlQueries from '../../providers/mssql/queries/manifestattachment.js';
import * as sqliteQueries from '../../providers/sqlite3/queries/manifestattachment.js';
@@ -118,9 +118,9 @@ export default function add(provider) {
if (thumbavif && (!thumbx || !thumby)) {
try {
const meta = await sharp(thumbavif).metadata();
thumbx = thumbx ?? meta.width ?? null;
thumby = thumby ?? meta.height ?? null;
const meta = await optimizeImage({ image: thumbavif, format: 'none' });
thumbx = thumbx ?? meta.originalWidth ?? null;
thumby = thumby ?? meta.originalHeight ?? null;
} catch {
// ignore
}

View File

@@ -1,4 +1,4 @@
import sharp from 'sharp';
import { optimizeImage } from 'wasm-image-optimization';
import { pdfToPng } from 'pdfconvert-wasm';
const THUMB_MAX = 200;
@@ -97,18 +97,27 @@ export default async function generateDocumentThumb(content, mimetype, options =
}
try {
const thumbResult = await sharp(imageBuffer)
.resize(THUMB_MAX, THUMB_MAX, { fit: 'inside', withoutEnlargement: true })
.avif({ effort: 4 })
.toBuffer({ resolveWithObject: true });
const meta = await optimizeImage({ image: imageBuffer, format: 'none' });
const srcW = meta.originalWidth || 0;
const srcH = meta.originalHeight || 0;
const needsResize = srcW > THUMB_MAX || srcH > THUMB_MAX;
const scale = needsResize ? Math.min(THUMB_MAX / srcW, THUMB_MAX / srcH) : 1;
const thumbResult = await optimizeImage({
image: imageBuffer,
width: needsResize ? Math.max(1, Math.round(srcW * scale)) : undefined,
height: needsResize ? Math.max(1, Math.round(srcH * scale)) : undefined,
fit: 'fill',
format: 'avif',
speed: 6,
});
return {
thumbavif: thumbResult.data,
thumbx: thumbResult.info.width,
thumby: thumbResult.info.height,
thumbavif: Buffer.from(thumbResult.data),
thumbx: thumbResult.width,
thumby: thumbResult.height,
};
} catch (err) {
console.warn('generateDocumentThumb: sharp thumbnail generation failed:', err.message);
console.warn('generateDocumentThumb: thumbnail generation failed:', err.message);
return { thumbavif: null, thumbx: null, thumby: null };
}
}

View File

@@ -1,4 +1,4 @@
import sharp from 'sharp';
import { optimizeImage } from 'wasm-image-optimization';
import { rgbaToThumbHash } from 'thumbhash';
import { encodeRGBA } from 'skelehash-wasm';
@@ -6,63 +6,105 @@ const FULL_MAX = 1000;
const THUMB_MAX = 200;
const SMALL_THUMB_MAX = 32;
function fitInsideDims(srcW, srcH, maxW, maxH) {
if (!srcW || !srcH || (srcW <= maxW && srcH <= maxH)) {
return {};
}
const scale = Math.min(maxW / srcW, maxH / srcH);
return {
width: Math.max(1, Math.round(srcW * scale)),
height: Math.max(1, Math.round(srcH * scale)),
fit: 'fill',
};
}
function unpremultiplyRgba(data) {
const out = new Uint8Array(data.length);
for (let i = 0; i < data.length; i += 4) {
const a = data[i + 3];
if (a === 255 || a === 0) {
out[i] = data[i];
out[i + 1] = data[i + 1];
out[i + 2] = data[i + 2];
out[i + 3] = a;
} else {
const f = 255 / a;
out[i] = Math.min(255, Math.round(data[i] * f));
out[i + 1] = Math.min(255, Math.round(data[i + 1] * f));
out[i + 2] = Math.min(255, Math.round(data[i + 2] * f));
out[i + 3] = a;
}
}
return out;
}
export default async function processAvifImage(inputBuffer) {
const input = Buffer.isBuffer(inputBuffer)
? inputBuffer
: Buffer.from(inputBuffer);
const meta = await sharp(input).metadata();
const w = meta.width ?? 0;
const h = meta.height ?? 0;
const isAvif =
meta.format === 'avif' ||
(meta.format === 'heif' && meta.compression === 'av1');
const meta = await optimizeImage({ image: input, format: 'none' });
const w = meta.originalWidth ?? 0;
const h = meta.originalHeight ?? 0;
const isAvif = meta.originalFormat === 'avif';
const useOriginalFull =
isAvif && w > 0 && h > 0 && w <= FULL_MAX && h <= FULL_MAX;
if (!useOriginalFull) {
console.log(
`processAvifImage: converting full image (format=${meta.format ?? 'unknown'}, ${w}×${h}, avif=${isAvif})`,
`processAvifImage: converting full image (format=${meta.originalFormat ?? 'unknown'}, ${w}×${h}, avif=${isAvif})`,
);
}
const thumbPipeline = sharp(input)
.resize(THUMB_MAX, THUMB_MAX, { fit: 'inside', withoutEnlargement: true });
const smallThumbPipeline = sharp(input)
.resize(SMALL_THUMB_MAX, SMALL_THUMB_MAX, { fit: 'inside', withoutEnlargement: true });
const fullDims = fitInsideDims(w, h, FULL_MAX, FULL_MAX);
const thumbDims = fitInsideDims(w, h, THUMB_MAX, THUMB_MAX);
const rgbaDims = fitInsideDims(w, h, 100, 100);
const smallThumbDims = fitInsideDims(w, h, SMALL_THUMB_MAX, SMALL_THUMB_MAX);
const [full, thumb, thumbRgba, smallThumb] = await Promise.all([
useOriginalFull
? Promise.resolve({
info: { width: w, height: h },
width: w,
height: h,
data: input,
})
: sharp(input)
.resize(FULL_MAX, FULL_MAX, { fit: 'inside', withoutEnlargement: true })
.avif({ effort: 2 })
.toBuffer({ resolveWithObject: true }),
thumbPipeline.clone().avif({ effort: 2 }).toBuffer({ resolveWithObject: true }),
thumbPipeline
.clone()
.resize(100, 100, { fit: 'inside', withoutEnlargement: true })
.ensureAlpha()
.raw()
.toBuffer({ resolveWithObject: true }),
smallThumbPipeline
.avif({ effort: 2 })
.toBuffer({ resolveWithObject: true }),
: optimizeImage({
image: input,
...fullDims,
format: 'avif',
speed: 8,
}),
optimizeImage({
image: input,
...thumbDims,
format: 'avif',
speed: 8,
}),
optimizeImage({
image: input,
...rgbaDims,
format: 'raw',
}),
optimizeImage({
image: input,
...smallThumbDims,
format: 'avif',
speed: 8,
}),
]);
const rgbaPixels = unpremultiplyRgba(thumbRgba.data);
const [thumbHashBytes, skele] = await Promise.all([
rgbaToThumbHash(
thumbRgba.info.width,
thumbRgba.info.height,
thumbRgba.data,
thumbRgba.width,
thumbRgba.height,
rgbaPixels,
),
encodeRGBA(
thumbRgba.info.width,
thumbRgba.info.height,
thumbRgba.data,
thumbRgba.width,
thumbRgba.height,
rgbaPixels,
),
]);
@@ -70,24 +112,28 @@ export default async function processAvifImage(inputBuffer) {
throw new Error('encodeRGBA failed to produce a base62 skelehash');
}
const fullBuf = Buffer.isBuffer(full.data) ? full.data : Buffer.from(full.data);
const thumbBuf = Buffer.from(thumb.data);
const smallThumbBuf = Buffer.from(smallThumb.data);
return {
full: {
w: full.info.width,
h: full.info.height,
size: full.data.length,
buffer: full.data,
w: full.width,
h: full.height,
size: fullBuf.length,
buffer: fullBuf,
},
thumb: {
w: thumb.info.width,
h: thumb.info.height,
size: thumb.data.length,
buffer: thumb.data,
w: thumb.width,
h: thumb.height,
size: thumbBuf.length,
buffer: thumbBuf,
hash: Buffer.from(thumbHashBytes).toString('base64'),
},
smallThumb: {
w: smallThumb.info.width,
h: smallThumb.info.height,
buffer: smallThumb.data,
w: smallThumb.width,
h: smallThumb.height,
buffer: smallThumbBuf,
},
skelehash: skele.base62,
};