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274 lines
7.3 KiB
TypeScript
274 lines
7.3 KiB
TypeScript
import { Buffer } from 'node:buffer'
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import { nativeImage } from 'electron'
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import { fetchDesktopApiURL, resolveDesktopApiURL } from '../transport/api-client'
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import { STANDARD_ACCEPT_LANGUAGES, STANDARD_USER_AGENT } from '../user-agent'
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import { adapterFetch, mergeAbortSignals, timeoutSignal, type AdapterFetchOptions } from './common'
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export interface ImageAssetBlob {
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blob: Blob
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width: number
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height: number
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fileName: string
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}
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export interface RawImageAssetBlob {
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blob: Blob
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fileName: string
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}
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export interface CropRect {
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x: number
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y: number
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width: number
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height: number
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}
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export type AssetImageFormat = 'png' | 'jpg' | 'jpeg'
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export interface FetchImageAssetBlobOptions extends AdapterFetchOptions {
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preferredFormat?: AssetImageFormat
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passthroughTypes?: string[]
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headers?: HeadersInit
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}
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const defaultPassthroughImageTypes = new Set(['image/png', 'image/jpeg', 'image/jpg', 'image/gif'])
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function normalizeAssetImageFormat(format: AssetImageFormat | undefined): AssetImageFormat {
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return format === 'jpg' || format === 'jpeg' ? 'jpg' : 'png'
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}
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function buildDesktopAssetFallbackURL(
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publicAssetUrl: URL,
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preferredFormat: AssetImageFormat,
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): string | null {
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if (!publicAssetUrl.pathname.startsWith('/api/public/assets/')) {
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return null
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}
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const token = publicAssetUrl.pathname.slice('/api/public/assets/'.length)
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if (!token) {
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return null
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}
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const fallbackURL = new URL(resolveDesktopApiURL(`/api/desktop/content/assets/${token}`))
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publicAssetUrl.searchParams.forEach((value, key) => {
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fallbackURL.searchParams.set(key, value)
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})
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fallbackURL.searchParams.set('format', preferredFormat)
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return fallbackURL.toString()
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}
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export function buildAssetURLCandidates(
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sourceUrl: string,
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options: { preferredFormat?: AssetImageFormat } = {},
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): string[] {
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const trimmed = sourceUrl.trim()
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if (!trimmed) {
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return []
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}
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if (/^(data|blob):/i.test(trimmed)) {
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return [trimmed]
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}
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if (/^\/\//.test(trimmed)) {
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return [`https:${trimmed}`]
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}
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const candidates: string[] = []
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const pushCandidate = (value: string) => {
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if (!candidates.includes(value)) {
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candidates.push(value)
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}
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}
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try {
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const preferredFormat = normalizeAssetImageFormat(options.preferredFormat)
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const parsed = new URL(trimmed, resolveDesktopApiURL('/'))
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if (parsed.pathname.startsWith('/api/')) {
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const apiAssetUrl = new URL(resolveDesktopApiURL(`${parsed.pathname}${parsed.search}`))
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if (apiAssetUrl.pathname.startsWith('/api/public/assets/')) {
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apiAssetUrl.searchParams.set('format', preferredFormat)
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}
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pushCandidate(apiAssetUrl.toString())
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const desktopAssetFallbackURL = buildDesktopAssetFallbackURL(apiAssetUrl, preferredFormat)
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if (desktopAssetFallbackURL) {
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pushCandidate(desktopAssetFallbackURL)
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}
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}
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pushCandidate(parsed.toString())
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} catch {
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pushCandidate(trimmed)
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}
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return candidates
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}
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function shouldUseDesktopAssetFetch(candidate: string): boolean {
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try {
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return new URL(candidate).pathname.startsWith('/api/desktop/content/assets/')
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} catch {
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return false
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}
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}
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function fileNameForImageType(sourceType: string): string {
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if (sourceType === 'image/gif') {
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return 'image.gif'
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}
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if (sourceType === 'image/jpeg' || sourceType === 'image/jpg') {
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return 'image.jpg'
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}
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if (sourceType === 'image/webp') {
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return 'image.webp'
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}
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return 'image.png'
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}
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function imageFetchHeaders(options: Pick<FetchImageAssetBlobOptions, 'headers'>): Headers {
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const headers = new Headers(options.headers)
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if (!headers.has('accept')) {
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headers.set('accept', 'image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8')
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}
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if (!headers.has('accept-language')) {
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headers.set('accept-language', STANDARD_ACCEPT_LANGUAGES)
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}
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if (!headers.has('user-agent')) {
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headers.set('user-agent', STANDARD_USER_AGENT)
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}
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return headers
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}
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export async function fetchRawImageAssetBlob(
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sourceUrl: string,
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options: FetchImageAssetBlobOptions = {},
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): Promise<RawImageAssetBlob | null> {
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for (const candidate of buildAssetURLCandidates(sourceUrl, {
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preferredFormat: options.preferredFormat,
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})) {
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const headers = imageFetchHeaders(options)
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const response = await (
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shouldUseDesktopAssetFetch(candidate)
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? fetchDesktopApiURL(candidate, {
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signal: mergeAbortSignals([options.signal, timeoutSignal(options.timeoutMs ?? 10_000)]),
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headers,
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})
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: adapterFetch(
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candidate,
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{ headers },
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{ timeoutMs: options.timeoutMs ?? 10_000, signal: options.signal },
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)
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).catch(() => null)
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if (!response?.ok) {
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continue
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}
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const sourceBlob = await response.blob().catch(() => null)
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if (!sourceBlob || !sourceBlob.type.startsWith('image/')) {
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continue
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}
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return {
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blob: sourceBlob,
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fileName: fileNameForImageType(sourceBlob.type.toLowerCase()),
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}
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}
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return null
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}
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export async function normalizeImageAssetBlob(
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sourceBlob: Blob,
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options: Pick<FetchImageAssetBlobOptions, 'passthroughTypes'> = {},
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): Promise<ImageAssetBlob | null> {
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if (!sourceBlob.type.startsWith('image/')) {
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return null
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}
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const image = nativeImage.createFromBuffer(Buffer.from(await sourceBlob.arrayBuffer()))
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if (image.isEmpty()) {
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return null
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}
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const size = image.getSize()
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const passthroughImageTypes = new Set(
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(options.passthroughTypes ?? [...defaultPassthroughImageTypes]).map((type) =>
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type.toLowerCase(),
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),
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)
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const sourceType = sourceBlob.type.toLowerCase()
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if (passthroughImageTypes.has(sourceType)) {
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return {
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blob: sourceBlob,
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width: size.width,
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height: size.height,
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fileName: fileNameForImageType(sourceType),
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}
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}
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return {
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blob: new Blob([new Uint8Array(image.toPNG())], { type: 'image/png' }),
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width: size.width,
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height: size.height,
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fileName: 'image.png',
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}
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}
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export async function fetchImageAssetBlob(
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sourceUrl: string,
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options: FetchImageAssetBlobOptions = {},
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): Promise<ImageAssetBlob | null> {
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const raw = await fetchRawImageAssetBlob(sourceUrl, options)
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return raw ? await normalizeImageAssetBlob(raw.blob, options) : null
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}
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export function getCenteredCropRect(width: number, height: number, ratio: number): CropRect {
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let cropWidth = width
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let cropHeight = cropWidth / ratio
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if (cropHeight > height) {
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cropHeight = height
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cropWidth = cropHeight * ratio
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}
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return {
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x: (width - cropWidth) / 2,
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y: (height - cropHeight) / 2,
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width: cropWidth,
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height: cropHeight,
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}
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}
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export async function cropImageAssetBlob(
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source: ImageAssetBlob,
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ratio: number,
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): Promise<ImageAssetBlob | null> {
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const image = nativeImage.createFromBuffer(Buffer.from(await source.blob.arrayBuffer()))
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if (image.isEmpty()) {
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return null
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}
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const crop = getCenteredCropRect(source.width, source.height, ratio)
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const cropped = image.crop({
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x: Math.max(0, Math.round(crop.x)),
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y: Math.max(0, Math.round(crop.y)),
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width: Math.max(1, Math.round(crop.width)),
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height: Math.max(1, Math.round(crop.height)),
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})
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if (cropped.isEmpty()) {
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return null
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}
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const size = cropped.getSize()
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return {
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blob: new Blob([new Uint8Array(cropped.toPNG())], { type: 'image/png' }),
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width: size.width,
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height: size.height,
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fileName: 'image.png',
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}
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}
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