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@nitida/asset-uploader-expo

v0.2.1

Published

nitida native upload primitives (iOS URLSession + Android WorkManager). The JS API mirrors @nitida/asset-uploader-web's UploadTask, so call sites are identical across web and mobile.

Downloads

348

Readme

@nitida/asset-uploader-expo

Native upload primitives for the nitida asset pipeline.

JS API mirrors @nitida/asset-uploader-web so call sites are identical:

import { UploadTask } from "@nitida/asset-uploader-expo";

const task = new UploadTask({
  file: { uri, mime: "image/jpeg" },        // from expo-image-picker
  tenantCode: "epa-cr",
  endpoint: "https://your-app.com/api/asset",
});
task.on("progress", ({ ratio }) => console.log(`${(ratio * 100).toFixed(0)}%`));
const { assetId, deduped } = await task.start();

Why a native module

| Concern | JS-only fetch | Native (this module) | |---|---|---| | Hash a 1 GB file | blocks JS thread | streaming on a background queue | | Upload survives kill -9 | ❌ | ✅ (URLSession backgroundSessionConfiguration / WorkManager) | | Upload survives app suspend | unreliable | ✅ | | Multipart resume after relaunch | manual state in JS | persisted natively, surfaced via listResumableSessions() |

Installation

bun add @nitida/asset-uploader-expo

In app.json:

{
  "expo": {
    "plugins": ["@nitida/asset-uploader-expo"]
  }
}

The plugin patches the host AppDelegate to forward iOS background URLSession events.

Then prebuild:

npx expo prebuild --clean
npx expo run:ios     # or: npx expo run:android

Status

  • ✅ JS facade (UploadTask) and types
  • ✅ iOS native: SHA-256, stat, single-shot PUT via background URLSession, multipart parts, cancel, resume listing, AppDelegate hook
  • 🚧 Android native: SHA-256 + stat work; PUT/PUT-part throw NotImplementedError until the next iteration brings the WorkManager-backed uploader

Architecture notes

The Expo Module is intentionally thin:

  • API calls (presign, complete, process) stay in JS — they're short and don't need background survival.
  • Only the bytes-on-the-wire path goes native, where it benefits most from OS-level scheduling.