Kartik
63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
from unittest.mock import Mock, patch
|
|
|
|
import pytest
|
|
|
|
from mem0.configs.embeddings.base import BaseEmbedderConfig
|
|
from mem0.embeddings.ollama import OllamaEmbedding
|
|
|
|
|
|
@pytest.fixture
|
|
def mock_ollama_client():
|
|
with patch("mem0.embeddings.ollama.Client") as mock_ollama:
|
|
mock_client = Mock()
|
|
mock_client.list.return_value = {"models": [{"name": "nomic-embed-text"}]}
|
|
mock_ollama.return_value = mock_client
|
|
yield mock_client
|
|
|
|
|
|
def test_embed_text(mock_ollama_client):
|
|
config = BaseEmbedderConfig(model="nomic-embed-text", embedding_dims=512)
|
|
embedder = OllamaEmbedding(config)
|
|
|
|
mock_response = {"embeddings": [[0.1, 0.2, 0.3, 0.4, 0.5]]}
|
|
mock_ollama_client.embed.return_value = mock_response
|
|
|
|
text = "Sample text to embed."
|
|
embedding = embedder.embed(text)
|
|
|
|
mock_ollama_client.embed.assert_called_once_with(model="nomic-embed-text", input=text)
|
|
|
|
assert embedding == [0.1, 0.2, 0.3, 0.4, 0.5]
|
|
|
|
|
|
def test_ensure_model_exists(mock_ollama_client):
|
|
config = BaseEmbedderConfig(model="nomic-embed-text", embedding_dims=512)
|
|
embedder = OllamaEmbedding(config)
|
|
|
|
mock_ollama_client.pull.assert_not_called()
|
|
|
|
mock_ollama_client.list.return_value = {"models": []}
|
|
|
|
embedder._ensure_model_exists()
|
|
|
|
mock_ollama_client.pull.assert_called_once_with("nomic-embed-text")
|
|
|
|
|
|
def test_ensure_model_exists_normalizes_latest_tag(mock_ollama_client):
|
|
"""Model 'nomic-embed-text' should match 'nomic-embed-text:latest' from ollama list."""
|
|
mock_ollama_client.list.return_value = {"models": [{"name": "nomic-embed-text:latest"}]}
|
|
config = BaseEmbedderConfig(model="nomic-embed-text", embedding_dims=512)
|
|
OllamaEmbedding(config)
|
|
|
|
mock_ollama_client.pull.assert_not_called()
|
|
|
|
|
|
def test_embed_empty_response_raises(mock_ollama_client):
|
|
config = BaseEmbedderConfig(model="nomic-embed-text", embedding_dims=512)
|
|
embedder = OllamaEmbedding(config)
|
|
|
|
mock_ollama_client.embed.return_value = {"embeddings": []}
|
|
|
|
with pytest.raises(ValueError, match="returned no embeddings"):
|
|
embedder.embed("some text")
|