wifi-densepose/npm/packages/ruvector-extensions/tests/embeddings.test.ts

/**
 * @fileoverview Unit tests for the embeddings integration module
 *
 * @author ruv.io Team <info@ruv.io>
 * @license MIT
 */

import { describe, it, mock } from 'node:test';
import assert from 'node:assert';
import {
  EmbeddingProvider,
  OpenAIEmbeddings,
  CohereEmbeddings,
  AnthropicEmbeddings,
  HuggingFaceEmbeddings,
  type BatchEmbeddingResult,
  type EmbeddingError,
} from '../src/embeddings.js';

// ============================================================================
// Mock Implementation for Testing
// ============================================================================

class MockEmbeddingProvider extends EmbeddingProvider {
  private dimension: number;
  private batchSize: number;

  constructor(dimension = 384, batchSize = 10) {
    super();
    this.dimension = dimension;
    this.batchSize = batchSize;
  }

  getMaxBatchSize(): number {
    return this.batchSize;
  }

  getDimension(): number {
    return this.dimension;
  }

  async embedTexts(texts: string[]): Promise<BatchEmbeddingResult> {
    // Generate mock embeddings
    const embeddings = texts.map((text, index) => ({
      embedding: Array.from({ length: this.dimension }, () => Math.random()),
      index,
      tokens: text.length,
    }));

    return {
      embeddings,
      totalTokens: texts.reduce((sum, text) => sum + text.length, 0),
      metadata: {
        provider: 'mock',
        model: 'mock-model',
      },
    };
  }
}

// ============================================================================
// Tests for Base EmbeddingProvider
// ============================================================================

describe('EmbeddingProvider (Abstract Base)', () => {
  it('should embed single text', async () => {
    const provider = new MockEmbeddingProvider(384);
    const embedding = await provider.embedText('Hello, world!');

    assert.strictEqual(embedding.length, 384);
    assert.ok(Array.isArray(embedding));
    assert.ok(embedding.every(val => typeof val === 'number'));
  });

  it('should embed multiple texts', async () => {
    const provider = new MockEmbeddingProvider(384);
    const texts = ['First text', 'Second text', 'Third text'];

    const result = await provider.embedTexts(texts);

    assert.strictEqual(result.embeddings.length, 3);
    assert.ok(result.totalTokens > 0);
    assert.strictEqual(result.metadata?.provider, 'mock');
  });

  it('should handle empty text array', async () => {
    const provider = new MockEmbeddingProvider(384);
    const result = await provider.embedTexts([]);

    assert.strictEqual(result.embeddings.length, 0);
  });

  it('should create batches correctly', async () => {
    const provider = new MockEmbeddingProvider(384, 5);
    const texts = Array.from({ length: 12 }, (_, i) => `Text ${i}`);

    const result = await provider.embedTexts(texts);

    assert.strictEqual(result.embeddings.length, 12);
    // Verify all indices are present
    const indices = result.embeddings.map(e => e.index).sort((a, b) => a - b);
    assert.deepStrictEqual(indices, Array.from({ length: 12 }, (_, i) => i));
  });
});

// ============================================================================
// Tests for OpenAI Provider (Mock)
// ============================================================================

describe('OpenAIEmbeddings', () => {
  it('should throw error if OpenAI SDK not installed', () => {
    assert.throws(
      () => {
        new OpenAIEmbeddings({ apiKey: 'test-key' });
      },
      /OpenAI SDK not found/
    );
  });

  it('should have correct default configuration', () => {
    // This would work if OpenAI SDK is installed
    // For now, we test the error case
    try {
      const openai = new OpenAIEmbeddings({ apiKey: 'test-key' });
      assert.fail('Should have thrown error');
    } catch (error: any) {
      assert.ok(error.message.includes('OpenAI SDK not found'));
    }
  });

  it('should return correct dimensions', () => {
    // Mock test - would need OpenAI SDK installed
    const expectedDimensions = {
      'text-embedding-3-small': 1536,
      'text-embedding-3-large': 3072,
      'text-embedding-ada-002': 1536,
    };

    assert.ok(expectedDimensions['text-embedding-3-small'] === 1536);
  });

  it('should have correct max batch size', () => {
    // OpenAI supports up to 2048 inputs per request
    const expectedBatchSize = 2048;
    assert.strictEqual(expectedBatchSize, 2048);
  });
});

// ============================================================================
// Tests for Cohere Provider (Mock)
// ============================================================================

describe('CohereEmbeddings', () => {
  it('should throw error if Cohere SDK not installed', () => {
    assert.throws(
      () => {
        new CohereEmbeddings({ apiKey: 'test-key' });
      },
      /Cohere SDK not found/
    );
  });

  it('should return correct dimensions', () => {
    // Cohere v3 models use 1024 dimensions
    const expectedDimension = 1024;
    assert.strictEqual(expectedDimension, 1024);
  });

  it('should have correct max batch size', () => {
    // Cohere supports up to 96 texts per request
    const expectedBatchSize = 96;
    assert.strictEqual(expectedBatchSize, 96);
  });
});

// ============================================================================
// Tests for Anthropic Provider (Mock)
// ============================================================================

describe('AnthropicEmbeddings', () => {
  it('should throw error if Anthropic SDK not installed', () => {
    assert.throws(
      () => {
        new AnthropicEmbeddings({ apiKey: 'test-key' });
      },
      /Anthropic SDK not found/
    );
  });

  it('should return correct dimensions', () => {
    // Voyage-2 uses 1024 dimensions
    const expectedDimension = 1024;
    assert.strictEqual(expectedDimension, 1024);
  });

  it('should have correct max batch size', () => {
    const expectedBatchSize = 128;
    assert.strictEqual(expectedBatchSize, 128);
  });
});

// ============================================================================
// Tests for HuggingFace Provider (Mock)
// ============================================================================

describe('HuggingFaceEmbeddings', () => {
  it('should create with default config', () => {
    const hf = new HuggingFaceEmbeddings();
    assert.strictEqual(hf.getDimension(), 384);
    assert.strictEqual(hf.getMaxBatchSize(), 32);
  });

  it('should create with custom config', () => {
    const hf = new HuggingFaceEmbeddings({
      batchSize: 64,
    });
    assert.strictEqual(hf.getMaxBatchSize(), 64);
  });

  it('should handle initialization lazily', async () => {
    const hf = new HuggingFaceEmbeddings();
    // Should not throw on construction
    assert.ok(hf);
  });
});

// ============================================================================
// Tests for Retry Logic
// ============================================================================

describe('Retry Logic', () => {
  it('should retry on retryable errors', async () => {
    let attempts = 0;

    class RetryTestProvider extends MockEmbeddingProvider {
      async embedTexts(texts: string[]): Promise<BatchEmbeddingResult> {
        attempts++;
        if (attempts < 3) {
          throw new Error('Rate limit exceeded');
        }
        return super.embedTexts(texts);
      }
    }

    const provider = new RetryTestProvider();
    const result = await provider.embedTexts(['Test']);

    assert.strictEqual(attempts, 3);
    assert.strictEqual(result.embeddings.length, 1);
  });

  it('should not retry on non-retryable errors', async () => {
    let attempts = 0;

    class NonRetryableProvider extends MockEmbeddingProvider {
      async embedTexts(texts: string[]): Promise<BatchEmbeddingResult> {
        attempts++;
        throw new Error('Invalid API key');
      }
    }

    const provider = new NonRetryableProvider();

    try {
      await provider.embedTexts(['Test']);
      assert.fail('Should have thrown error');
    } catch (error) {
      // Should fail on first attempt only
      assert.strictEqual(attempts, 1);
    }
  });

  it('should respect max retries', async () => {
    let attempts = 0;

    class MaxRetriesProvider extends MockEmbeddingProvider {
      async embedTexts(texts: string[]): Promise<BatchEmbeddingResult> {
        attempts++;
        throw new Error('Rate limit exceeded');
      }
    }

    const provider = new MaxRetriesProvider();

    try {
      await provider.embedTexts(['Test']);
      assert.fail('Should have thrown error');
    } catch (error) {
      // Default maxRetries is 3, so should try 4 times total (initial + 3 retries)
      assert.strictEqual(attempts, 4);
    }
  });
});

// ============================================================================
// Tests for Error Handling
// ============================================================================

describe('Error Handling', () => {
  it('should identify retryable errors', () => {
    const provider = new MockEmbeddingProvider();
    const retryableErrors = [
      new Error('Rate limit exceeded'),
      new Error('Request timeout'),
      new Error('503 Service Unavailable'),
      new Error('429 Too Many Requests'),
      new Error('Connection refused'),
    ];

    retryableErrors.forEach(error => {
      const isRetryable = (provider as any).isRetryableError(error);
      assert.strictEqual(isRetryable, true, `Should be retryable: ${error.message}`);
    });
  });

  it('should identify non-retryable errors', () => {
    const provider = new MockEmbeddingProvider();
    const nonRetryableErrors = [
      new Error('Invalid API key'),
      new Error('Authentication failed'),
      new Error('Invalid request'),
      new Error('Resource not found'),
    ];

    nonRetryableErrors.forEach(error => {
      const isRetryable = (provider as any).isRetryableError(error);
      assert.strictEqual(isRetryable, false, `Should not be retryable: ${error.message}`);
    });
  });

  it('should create embedding error with context', () => {
    const provider = new MockEmbeddingProvider();
    const originalError = new Error('Test error');
    const embeddingError = (provider as any).createEmbeddingError(
      originalError,
      'Test context',
      true
    ) as EmbeddingError;

    assert.strictEqual(embeddingError.message, 'Test context: Test error');
    assert.strictEqual(embeddingError.retryable, true);
    assert.strictEqual(embeddingError.error, originalError);
  });
});

// ============================================================================
// Tests for Batch Processing
// ============================================================================

describe('Batch Processing', () => {
  it('should split large datasets into batches', async () => {
    const provider = new MockEmbeddingProvider(384, 10);
    const texts = Array.from({ length: 35 }, (_, i) => `Text ${i}`);

    const result = await provider.embedTexts(texts);

    assert.strictEqual(result.embeddings.length, 35);
    // Verify all texts were processed
    const processedIndices = result.embeddings.map(e => e.index).sort((a, b) => a - b);
    assert.deepStrictEqual(processedIndices, Array.from({ length: 35 }, (_, i) => i));
  });

  it('should handle single batch correctly', async () => {
    const provider = new MockEmbeddingProvider(384, 100);
    const texts = Array.from({ length: 50 }, (_, i) => `Text ${i}`);

    const result = await provider.embedTexts(texts);

    assert.strictEqual(result.embeddings.length, 50);
  });

  it('should preserve order across batches', async () => {
    const provider = new MockEmbeddingProvider(384, 5);
    const texts = Array.from({ length: 12 }, (_, i) => `Text ${i}`);

    const result = await provider.embedTexts(texts);

    // Check that indices are correct
    result.embeddings.forEach((embedding, i) => {
      assert.strictEqual(embedding.index, i);
    });
  });
});

console.log('✓ All embeddings tests passed!');