feature: add e2e tests for new supported image formats

src/index.ts

@@ -12,7 +12,7 @@ import type { CreateRequest, ProgressResponse } from './interfaces.js'
 
 const sharp = _sharp.default
 
-const IMAGE_EXTENSIONS_TO_CONVERT = ['webp', 'avif', 'gif', 'svg', 'tiff']
+const IMAGE_EXTENSIONS_TO_CONVERT = ['webp', 'avif', 'gif', 'svg', 'tiff', 'tif']
 export class Ollama extends OllamaBrowser {
   async encodeImage(image: Uint8Array | Buffer | string): Promise<string> {
     if (typeof image !== 'string') {

test/e2e-image-formats.spec.ts

@@ -0,0 +1,49 @@
+import { describe, it, vi, expect } from 'vitest'
+import { Ollama } from '../src/index'
+import path from 'path'
+import { fileURLToPath } from 'url'
+import { dirname } from 'path'
+
+
+async function describeImage(imageName: string) {
+    const __filename = fileURLToPath(import.meta.url)
+    const __dirname = dirname(__filename)
+    const instance = new Ollama()
+    const imagePath = path.resolve(__dirname, `./mocks/images/${imageName}`)
+    const response = await instance.chat({
+        model: 'llama3.2-vision',
+        messages: [{ role: 'user', content: 'what is this?', images: [imagePath] }],
+    })
+    return response.message.content;
+}
+
+const testConfig = {
+    timeout: 5 * 60 * 1000, // 5 minutes
+}
+
+describe('Ollama | Nodejs | Vision image formats', () => {
+  it('support ".webp" image recognition', testConfig, async () => {
+    const result = await describeImage('WebP-Gradient.webp')
+    expect(result.toLowerCase()).toContain('gradient')
+  })
+
+  it('support ".gif" image recognition', testConfig, async () => {
+    const result = await describeImage('200w.gif')
+    expect(result.toLowerCase()).toContain('cat')
+  })
+
+  it('support ".avif" image recognition', testConfig, async () => {
+    const result = await describeImage('fox.profile0.8bpc.yuv420.avif')
+    expect(result.toLowerCase()).toContain('fox')
+  })
+
+  it('support ".tiff/.tif" image recognition', testConfig, async () => {
+    const result = await describeImage('julia.tif')
+    expect(result.toLowerCase()).toContain('julia')
+  })
+
+  it('support ".svg" image recognition', testConfig, async () => {
+    const result = await describeImage('house.svg')
+    expect(result.toLowerCase()).toContain('house')
+  })
+})