*: add multi-version node test matrix

.github/workflows/validate.yml

@@ -11,7 +11,7 @@ jobs:
 
             - uses: denoland/setup-deno@v1
               with:
-                  deno-version: v2.x
+                  deno-version: vx.x.x
 
             - run: deno fmt --check
 
@@ -20,3 +20,24 @@ jobs:
             - run: deno test --allow-env --allow-net
               env:
                   PRODIA_TOKEN: ${{ secrets.PRODIA_TOKEN }}
+
+    node-test:
+        runs-on: ubuntu-latest
+
+        strategy:
+            matrix:
+                node-version: [18, 20, 22]
+
+        steps:
+            - uses: actions/checkout@v3
+
+            - name: Use Node.js ${{ matrix.node-version }}
+              uses: actions/setup-node@v3
+              with:
+                  node-version: ${{ matrix.node-version }}
+
+            - run: npm run prepublish
+
+            - run: node example.mjs
+              env:
+                  PRODIA_TOKEN: ${{ secrets.PRODIA_TOKEN }}

example.mjs

@@ -0,0 +1,32 @@
+import { createProdia } from "./dist/v2/index.js";
+import { strictEqual } from "assert";
+
+const token = process.env.PRODIA_TOKEN;
+
+if (typeof token !== "string") {
+	throw new Error("PRODIA_TOKEN is not set");
+}
+
+const isJpeg = (image) => {
+	const view = new Uint8Array(image);
+
+	return view[0] === 0xff && view[1] === 0xd8;
+};
+
+const client = createProdia({
+	token,
+});
+
+const job = await client.job({
+	type: "inference.flux.dev.txt2img.v1",
+	config: {
+		prompt: "puppies in a cloud, 4k",
+		steps: 1,
+		width: 1024,
+		height: 1024,
+	},
+});
+
+const image = await job.arrayBuffer();
+
+strictEqual(isJpeg(image), true, "Image should be a JPEG");

package.json

@@ -28,6 +28,9 @@
 	},
 	"author": "Monty Anderson <[email protected]>",
 	"license": "ISC",
+	"engines": {
+		"node": ">=18.0.0"
+	},
 	"devDependencies": {
 		"prettier": "^3.0.0",
 		"typescript": "^5.1.6"

v2/index.ts

@@ -184,13 +184,7 @@ export const createProdia = ({
 			);
 		}
 
-		const buffer = await new Promise<ArrayBuffer>((resolve, reject) => {
-			const output = body.get("output") as File;
-			const reader = new FileReader();
-			reader.readAsArrayBuffer(output);
-			reader.onload = () => resolve(reader.result as ArrayBuffer);
-			reader.onerror = () => reject(new Error("Failed to read output"));
-		});
+		const buffer = await (body.get("output") as Blob).arrayBuffer();
 
 		return {
 			job: job,