**test(tests): improve isolation and enhance test configuration**

- **Test Enhancements**:
  - Refactored test setup in `core.test.ts` for better isolation and clarity:
    - Added explicit `.clear()` calls to ensure clean state between tests.
    - Replaced old vector addition logic with simplified data insertion methods.
    - Updated search operations to reflect current functionality and debug-friendly output.
  - Introduced the `@vitest-environment jsdom` annotation in `environment.browser.test.ts` for accurate browser environment emulation.

- **Configuration Updates**:
  - Enhanced `vitest.config.ts`:
    - Introduced custom `reporters` for cleaner and focused test result presentation.
    - Expanded console log filtering with additional patterns for reducing noise from TensorFlow.js and setup processes.

- **Purpose**:
  - These updates improve test clarity, consistency, and robustness while streamlining the configuration to minimize distractions in test outputs.

tests/core.test.ts

@@ -150,7 +150,7 @@ describe('Brainy Core Functionality', () => {
 
       await euclideanData.init()
       await cosineData.init()
-      
+
       // Clear any existing data to ensure test isolation
       await euclideanData.clear()
       await cosineData.clear()
@@ -308,30 +308,35 @@ describe('Brainy Core Functionality', () => {
     })
 
     it('should maintain search quality with more data', async () => {
-      const data = new brainy.BrainyData({
-        dimensions: 5,
-        metric: 'euclidean'
+      // Create database with proper configuration for testing
+      const db = new brainy.BrainyData({
+        embeddingFunction: brainy.createEmbeddingFunction(),
+        metric: 'cosine'
       })
 
-      await data.init()
+      await db.init()
+      await db.clear() // Clear any existing data
 
-      // Add some known vectors
-      const knownVector = [1, 2, 3, 4, 5]
-      await data.add(knownVector, { id: 'known', type: 'target' })
+      // Add known data
+      await db.add('known data', { id: 'known' })
 
-      // Add noise vectors
-      for (let i = 0; i < 50; i++) {
-        const noiseVector =
-          globalThis.testUtils?.createTestVector(5) ||
-          Array.from({ length: 5 }, (_, i) => (i + 1) / 5)
-        await data.add(noiseVector, { id: `noise_${i}`, type: 'noise' })
+      // Add noise data
+      for (let i = 0; i < 100; i++) {
+        await db.add(`noise_${i}`, { id: `noise_${i}` })
       }
 
-      // Search for the known vector should still find it first
-      const results = await data.search(knownVector, 5)
+      // Perform search using the correct method
+      const results = await db.search('known data', 10)
 
+      // Debugging output
+      console.log(
+        'Search results:',
+        results.map((r) => r.metadata?.id)
+      )
+
+      // Assertions
       expect(results.length).toBeGreaterThan(0)
-      expect(results[0].metadata.id).toBe('known')
+      expect(results[0].metadata?.id).toBe('known')
     })
   })
 })

tests/environment.browser.test.ts

@@ -1,6 +1,7 @@
 /**
  * Browser Environment Tests
  * Tests Brainy functionality in browser environment as a consumer would use it
+ * @vitest-environment jsdom
  */
 
 import { describe, it, expect, beforeAll, vi } from 'vitest'

vitest.config.ts

@@ -26,6 +26,15 @@ export default defineConfig({
         FORCE_PATCHED_PLATFORM: 'true'
       }
     },
+    // Use a cleaner reporter focused on test results
+    reporters: [
+      [
+        'default',
+        {
+          summary: false
+        }
+      ]
+    ],
     // Reduce noise in output
     silent: false,
     // Configure error display for better readability
@@ -43,7 +52,35 @@ export default defineConfig({
     // Filter out noisy console output more aggressively
     onConsoleLog: (log: string, type: 'stdout' | 'stderr'): false | void => {
       // Filter out all TensorFlow.js, model loading, and setup noise
-      const noisePatterns: string[] = []
+      const noisePatterns: string[] = [
+        'Brainy: Successfully patched TensorFlow.js PlatformNode',
+        'Applied TensorFlow.js patch via ES modules',
+        'Brainy running in Node.js environment',
+        'Pre-loading Universal Sentence Encoder model',
+        'Universal Sentence Encoder module structure',
+        'No default export',
+        'Using sentenceEncoderModule.load',
+        'Loading Universal Sentence Encoder model',
+        'Universal Sentence Encoder model loaded successfully',
+        'Using file system storage for Node.js environment',
+        'Using WebGL backend for TensorFlow.js',
+        'Platform node has already been set',
+        'Overwriting the platform with node',
+        'Brainy: Applying TensorFlow.js platform patch',
+        'The kernel',
+        'for backend',
+        'is already registered',
+        'Hi there 👋. Looks like you are running TensorFlow.js',
+        'backend registration',
+        'webgl',
+        'cpu',
+        'Could not get context for WebGL version',
+        'Retrying Universal Sentence Encoder initialization',
+        'Skipping noun',
+        'due to dimension mismatch',
+        'Retrying Universal Sentence Encoder model loading',
+        'Successfully loaded Universal Sentence Encoder with fallback method'
+      ]
 
       // Return false (don't show) if log contains any noise pattern
       if (noisePatterns.some((pattern) => log.includes(pattern))) {