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- **Description:** `embed_documents` and `embed_query` was throwing off the error as stated in the issue. The issue was that `Llama` client is returning the embeddings in a nested list which is not being accounted for in the current implementation and therefore the stated error is being raised. - **Issue:** #28813 --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>
41 lines
1.4 KiB
Python
41 lines
1.4 KiB
Python
from typing import Generator
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from unittest.mock import MagicMock, patch
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import pytest
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from langchain_community.embeddings.llamacpp import LlamaCppEmbeddings
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@pytest.fixture
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def mock_llama_client() -> Generator[MagicMock, None, None]:
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with patch(
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"langchain_community.embeddings.llamacpp.LlamaCppEmbeddings"
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) as MockLlama:
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mock_client = MagicMock()
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MockLlama.return_value = mock_client
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yield mock_client
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def test_initialization(mock_llama_client: MagicMock) -> None:
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embeddings = LlamaCppEmbeddings(client=mock_llama_client) # type: ignore[call-arg]
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assert embeddings.client is not None
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def test_embed_documents(mock_llama_client: MagicMock) -> None:
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mock_llama_client.create_embedding.return_value = {
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"data": [{"embedding": [[0.1, 0.2, 0.3]]}, {"embedding": [[0.4, 0.5, 0.6]]}]
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}
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embeddings = LlamaCppEmbeddings(client=mock_llama_client) # type: ignore[call-arg]
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texts = ["Hello world", "Test document"]
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result = embeddings.embed_documents(texts)
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expected = [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]]
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assert result == expected
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def test_embed_query(mock_llama_client: MagicMock) -> None:
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mock_llama_client.embed.return_value = [[0.1, 0.2, 0.3]]
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embeddings = LlamaCppEmbeddings(client=mock_llama_client) # type: ignore[call-arg]
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result = embeddings.embed_query("Sample query")
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expected = [0.1, 0.2, 0.3]
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assert result == expected
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