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test_embedding_service.py2 kB
import unittest from unittest.mock import patch, MagicMock import asyncio import numpy as np from embeddings import EmbeddingService class TestEmbeddingServiceHuggingFace(unittest.TestCase): @patch("embeddings.EMBEDDING_PROVIDER", "huggingface") @patch("embeddings.HF_MODEL", "intfloat/multilingual-e5-large-instruct") def test_hf_init_and_embed(self): service = EmbeddingService() self.assertEqual(service.provider, "huggingface") self.assertIn("intfloat/multilingual-e5-large-instruct", service.allowed_models) self.assertEqual(service.default_model, "intfloat/multilingual-e5-large-instruct") # Test embed result = asyncio.run(service.embed("hello world")) self.assertTrue(isinstance(result, np.ndarray) or isinstance(result, list)) self.assertEqual(len(result), 1024) class TestEmbeddingServiceOpenAI(unittest.TestCase): @patch("embeddings.EMBEDDING_PROVIDER", "openai") def test_openai_init_and_embed(self): service = EmbeddingService() self.assertEqual(service.provider, "openai") self.assertIn("text-embedding-3-small", service.allowed_models) self.assertEqual(service.default_model, "text-embedding-3-small") # Test embed result = asyncio.run(service.embed("hello world")) self.assertIsInstance(result, list) self.assertEqual(len(result), 1536) class TestEmbeddingServiceGemini(unittest.TestCase): @patch("embeddings.EMBEDDING_PROVIDER", "gemini") def test_gemini_init_and_embed(self): service = EmbeddingService() self.assertEqual(service.provider, "gemini") self.assertIn("text-embedding-004", service.allowed_models) self.assertEqual(service.default_model, "text-embedding-004") # Test embed result = asyncio.run(service.embed("hello world")) self.assertIsInstance(result, list) self.assertEqual(len(result), 768) if __name__ == "__main__": unittest.main()

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