react-native-executorch/lib/typescript/utils/ResourceFetcherUtils.d.ts

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

import { ResourceSource } from '../types/common';
/**
 * @internal
 */
import { type DownloadResumable } from 'expo-file-system/legacy';
export declare const enum HTTP_CODE {
    OK = 200,
    PARTIAL_CONTENT = 206
}
export declare const enum DownloadStatus {
    ONGOING = 0,
    PAUSED = 1
}
export declare const enum SourceType {
    OBJECT = 0,
    LOCAL_FILE = 1,
    RELEASE_MODE_FILE = 2,
    DEV_MODE_FILE = 3,
    REMOTE_FILE = 4
}
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 declare namespace ResourceFetcherUtils {
    function getType(source: ResourceSource): SourceType;
    function getFilesSizes(sources: ResourceSource[]): Promise<{
        results: {
            source: ResourceSource;
            type: SourceType;
            length: number;
            previousFilesTotalLength: number;
        }[];
        totalLength: number;
    }>;
    function removeFilePrefix(uri: string): string;
    function hashObject(jsonString: string): string;
    function calculateDownloadProgress(totalLength: number, previousFilesTotalLength: number, currentFileLength: number, setProgress: (downloadProgress: number) => void): (progress: number) => void;
    function triggerHuggingFaceDownloadCounter(uri: string): Promise<void>;
    function createDirectoryIfNoExists(): Promise<void>;
    function checkFileExists(fileUri: string): Promise<boolean>;
    function getFilenameFromUri(uri: string): string;
}
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