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react-native-executorch

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An easy way to run AI models in React Native with ExecuTorch

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import { RNEDirectory } from '../constants/directories'; import { ResourceSource } from '../types/common'; import { Asset } from 'expo-asset'; import { Logger } from '../common/Logger'; /** * @internal */ import { getInfoAsync, makeDirectoryAsync, type DownloadResumable, } from 'expo-file-system/legacy'; export const enum HTTP_CODE { OK = 200, PARTIAL_CONTENT = 206, } export const enum DownloadStatus { ONGOING, PAUSED, } export const enum SourceType { OBJECT, LOCAL_FILE, RELEASE_MODE_FILE, DEV_MODE_FILE, REMOTE_FILE, } export interface ResourceSourceExtended { source: ResourceSource; sourceType: SourceType; callback?: (downloadProgress: number) => void; results: string[]; uri?: string; fileUri?: string; cacheFileUri?: string; next?: ResourceSourceExtended; } export interface DownloadResource { downloadResumable: DownloadResumable; status: DownloadStatus; extendedInfo: ResourceSourceExtended; } export namespace ResourceFetcherUtils { export function getType(source: ResourceSource): SourceType { if (typeof source === 'object') { return SourceType.OBJECT; } else if (typeof source === 'number') { const uri = Asset.fromModule(source).uri; if (uri.startsWith('http')) { return SourceType.DEV_MODE_FILE; } return SourceType.RELEASE_MODE_FILE; } // typeof source == 'string' if (source.startsWith('file://')) { return SourceType.LOCAL_FILE; } return SourceType.REMOTE_FILE; } export async function getFilesSizes(sources: ResourceSource[]) { const results: Array<{ source: ResourceSource; type: SourceType; length: number; previousFilesTotalLength: number; }> = []; let totalLength = 0; let previousFilesTotalLength = 0; for (const source of sources) { const type = ResourceFetcherUtils.getType(source); let length = 0; try { if (type === SourceType.REMOTE_FILE && typeof source === 'string') { const response = await fetch(source, { method: 'HEAD' }); if (!response.ok) { Logger.warn( `Failed to fetch HEAD for ${source}: ${response.status}` ); continue; } const contentLength = response.headers.get('content-length'); if (!contentLength) { Logger.warn(`No content-length header for ${source}`); } length = contentLength ? parseInt(contentLength, 10) : 0; previousFilesTotalLength = totalLength; totalLength += length; } } catch (error) { Logger.warn(`Error fetching HEAD for ${source}:`, error); continue; } finally { results.push({ source, type, length, previousFilesTotalLength }); } } return { results, totalLength }; } export function removeFilePrefix(uri: string) { return uri.startsWith('file://') ? uri.slice(7) : uri; } export function hashObject(jsonString: string) { let hash = 0; for (let i = 0; i < jsonString.length; i++) { // eslint-disable-next-line no-bitwise hash = (hash << 5) - hash + jsonString.charCodeAt(i); // eslint-disable-next-line no-bitwise hash |= 0; } // eslint-disable-next-line no-bitwise return (hash >>> 0).toString(); } export function calculateDownloadProgress( totalLength: number, previousFilesTotalLength: number, currentFileLength: number, setProgress: (downloadProgress: number) => void ) { return (progress: number) => { if ( progress === 1 && previousFilesTotalLength === totalLength - currentFileLength ) { setProgress(1); return; } // Avoid division by zero if (totalLength === 0) { setProgress(0); return; } const baseProgress = previousFilesTotalLength / totalLength; const scaledProgress = progress * (currentFileLength / totalLength); const updatedProgress = baseProgress + scaledProgress; setProgress(updatedProgress); }; } /* * Increments the Hugging Face download counter if the URI points to a Software Mansion Hugging Face repo. * More information: https://huggingface.co/docs/hub/models-download-stats */ export async function triggerHuggingFaceDownloadCounter(uri: string) { const url = new URL(uri); if ( url.host === 'huggingface.co' && url.pathname.startsWith('/software-mansion/') ) { const baseUrl = `${url.protocol}//${url.host}${url.pathname.split('resolve')[0]}`; fetch(`${baseUrl}resolve/main/config.json`, { method: 'HEAD' }); } } export async function createDirectoryIfNoExists() { if (!(await checkFileExists(RNEDirectory))) { await makeDirectoryAsync(RNEDirectory, { intermediates: true }); } } export async function checkFileExists(fileUri: string) { const fileInfo = await getInfoAsync(fileUri); return fileInfo.exists; } export function getFilenameFromUri(uri: string) { let cleanUri = uri.replace(/^https?:\/\//, ''); cleanUri = cleanUri.split('#')?.[0] ?? cleanUri; return cleanUri.replace(/[^a-zA-Z0-9._-]/g, '_'); } }