57 lines
1.6 KiB
Python
57 lines
1.6 KiB
Python
from unittest.mock import patch
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import pytest
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from mem0.configs.embeddings.base import BaseEmbedderConfig
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from mem0.embeddings.gemini import GoogleGenAIEmbedding
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@pytest.fixture
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def mock_genai():
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with patch("mem0.embeddings.gemini.genai.embed_content") as mock_genai:
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yield mock_genai
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@pytest.fixture
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def config():
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return BaseEmbedderConfig(api_key="dummy_api_key", model="test_model", embedding_dims=786)
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def test_embed_query(mock_genai, config):
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mock_embedding_response = {"embedding": [0.1, 0.2, 0.3, 0.4]}
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mock_genai.return_value = mock_embedding_response
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embedder = GoogleGenAIEmbedding(config)
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text = "Hello, world!"
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embedding = embedder.embed(text)
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assert embedding == [0.1, 0.2, 0.3, 0.4]
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mock_genai.assert_called_once_with(model="test_model", content="Hello, world!", output_dimensionality=786)
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def test_embed_returns_empty_list_if_none(mock_genai, config):
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mock_genai.return_value = None
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embedder = GoogleGenAIEmbedding(config)
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result = embedder.embed("test")
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assert result == []
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mock_genai.assert_called_once()
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def test_embed_raises_on_error(mock_genai, config):
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mock_genai.side_effect = RuntimeError("Embedding failed")
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embedder = GoogleGenAIEmbedding(config)
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with pytest.raises(RuntimeError, match="Embedding failed"):
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embedder.embed("some input")
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def test_config_initialization(config):
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embedder = GoogleGenAIEmbedding(config)
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assert embedder.config.api_key == "dummy_api_key"
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assert embedder.config.model == "test_model"
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assert embedder.config.embedding_dims == 786
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