feat(distribution-banner): 分销站点轮播支持 PC/移动端分图与热区配置

This commit is contained in:
yml2213
2026-10-17 14:47:00 +08:00
parent ab9d852bde
commit 790267e3eb
9 changed files with 1472 additions and 120 deletions
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/**
* 图片透明区域探测:用于后台在上传「热区按钮图 / 海报底图」时提示
* 「这张图其实没有透明区域」——最常见的坑是把设计工具里带棋盘格的预览
* 截图/另存下来,棋盘格就成了真实像素,前台会照实显示。
*/
export interface ImageTransparencyProbe {
/** 是否存在透明像素(alpha < 250) */
hasTransparentPixels: boolean
/** 透明像素占比(0-1) */
transparentRatio: number
/** 不透明像素是否只有极少数浅灰/白颜色(棋盘格或纯色底烘焙进图片的典型特征) */
suspectedBakedBackdrop: boolean
}
const SAMPLE_MAX_SIDE = 160
/** alpha 低于该值即视为透明像素 */
const TRANSPARENT_ALPHA = 250
/** 无明显透明像素的判定阈值(透明像素占比) */
const NEGLIGIBLE_TRANSPARENT_RATIO = 0.002
/** 纯像素分析(无 DOM 依赖,便于单测)。 */
export function analyzeImagePixels(data: Uint8ClampedArray | number[]): ImageTransparencyProbe {
const total = Math.floor(data.length / 4)
if (total <= 0) {
return { hasTransparentPixels: false, transparentRatio: 0, suspectedBakedBackdrop: false }
}
let transparent = 0
let opaque = 0
let lightOnly = true
const colors = new Set<number>()
for (let index = 0; index < total; index += 1) {
const offset = index * 4
const r = data[offset] ?? 0
const g = data[offset + 1] ?? 0
const b = data[offset + 2] ?? 0
const a = data[offset + 3] ?? 0
if (a < TRANSPARENT_ALPHA) {
transparent += 1
continue
}
opaque += 1
const min = Math.min(r, g, b)
const max = Math.max(r, g, b)
if (min < 216 || max - min > 28) lightOnly = false
// 量化到 4bit/通道,避免抗锯齿噪点导致颜色数虚高
colors.add(((r >> 4) << 8) | ((g >> 4) << 4) | (b >> 4))
}
const transparentRatio = transparent / total
return {
hasTransparentPixels: transparentRatio > NEGLIGIBLE_TRANSPARENT_RATIO,
transparentRatio,
suspectedBakedBackdrop:
opaque > 0 &&
lightOnly &&
transparentRatio <= NEGLIGIBLE_TRANSPARENT_RATIO &&
colors.size <= 4,
}
}
/** 读取本地文件像素并分析;环境不支持时返回 null(不阻塞上传)。 */
export async function probeImageTransparency(file: File): Promise<ImageTransparencyProbe | null> {
const source = await loadImageSource(file)
if (!source) return null
const width = Math.max(1, Math.round(source.width))
const height = Math.max(1, Math.round(source.height))
const scale = Math.min(1, SAMPLE_MAX_SIDE / Math.max(width, height))
const targetWidth = Math.max(1, Math.round(width * scale))
const targetHeight = Math.max(1, Math.round(height * scale))
const canvas = document.createElement('canvas')
canvas.width = targetWidth
canvas.height = targetHeight
const context = canvas.getContext('2d')
if (!context) return null
context.clearRect(0, 0, targetWidth, targetHeight)
context.drawImage(source as CanvasImageSource, 0, 0, targetWidth, targetHeight)
const imageData = context.getImageData(0, 0, targetWidth, targetHeight)
return analyzeImagePixels(imageData.data)
}
async function loadImageSource(file: File): Promise<ImageBitmap | HTMLImageElement | null> {
if (typeof createImageBitmap === 'function') {
try {
return await createImageBitmap(file)
} catch {
// 继续走 <img> 兜底
}
}
return await new Promise(resolve => {
const url = URL.createObjectURL(file)
const image = new Image()
image.onload = () => {
URL.revokeObjectURL(url)
resolve(image)
}
image.onerror = () => {
URL.revokeObjectURL(url)
resolve(null)
}
image.src = url
})
}