test_voyage.py•4.46 kB
"""
Copyright 2024, Zep Software, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from collections.abc import Generator
from typing import Any
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from graphiti_core.embedder.voyage import (
DEFAULT_EMBEDDING_MODEL,
VoyageAIEmbedder,
VoyageAIEmbedderConfig,
)
from tests.embedder.embedder_fixtures import create_embedding_values
@pytest.fixture
def mock_voyageai_response() -> MagicMock:
"""Create a mock VoyageAI embeddings response."""
mock_result = MagicMock()
mock_result.embeddings = [create_embedding_values()]
return mock_result
@pytest.fixture
def mock_voyageai_batch_response() -> MagicMock:
"""Create a mock VoyageAI batch embeddings response."""
mock_result = MagicMock()
mock_result.embeddings = [
create_embedding_values(0.1),
create_embedding_values(0.2),
create_embedding_values(0.3),
]
return mock_result
@pytest.fixture
def mock_voyageai_client() -> Generator[Any, Any, None]:
"""Create a mocked VoyageAI client."""
with patch('voyageai.AsyncClient') as mock_client:
mock_instance = mock_client.return_value
mock_instance.embed = AsyncMock()
yield mock_instance
@pytest.fixture
def voyageai_embedder(mock_voyageai_client: Any) -> VoyageAIEmbedder:
"""Create a VoyageAIEmbedder with a mocked client."""
config = VoyageAIEmbedderConfig(api_key='test_api_key')
client = VoyageAIEmbedder(config=config)
client.client = mock_voyageai_client
return client
@pytest.mark.asyncio
async def test_create_calls_api_correctly(
voyageai_embedder: VoyageAIEmbedder,
mock_voyageai_client: Any,
mock_voyageai_response: MagicMock,
) -> None:
"""Test that create method correctly calls the API and processes the response."""
# Setup
mock_voyageai_client.embed.return_value = mock_voyageai_response
# Call method
result = await voyageai_embedder.create('Test input')
# Verify API is called with correct parameters
mock_voyageai_client.embed.assert_called_once()
args, kwargs = mock_voyageai_client.embed.call_args
assert args[0] == ['Test input']
assert kwargs['model'] == DEFAULT_EMBEDDING_MODEL
# Verify result is processed correctly
expected_result = [
float(x)
for x in mock_voyageai_response.embeddings[0][: voyageai_embedder.config.embedding_dim]
]
assert result == expected_result
@pytest.mark.asyncio
async def test_create_batch_processes_multiple_inputs(
voyageai_embedder: VoyageAIEmbedder,
mock_voyageai_client: Any,
mock_voyageai_batch_response: MagicMock,
) -> None:
"""Test that create_batch method correctly processes multiple inputs."""
# Setup
mock_voyageai_client.embed.return_value = mock_voyageai_batch_response
input_batch = ['Input 1', 'Input 2', 'Input 3']
# Call method
result = await voyageai_embedder.create_batch(input_batch)
# Verify API is called with correct parameters
mock_voyageai_client.embed.assert_called_once()
args, kwargs = mock_voyageai_client.embed.call_args
assert args[0] == input_batch
assert kwargs['model'] == DEFAULT_EMBEDDING_MODEL
# Verify all results are processed correctly
assert len(result) == 3
expected_results = [
[
float(x)
for x in mock_voyageai_batch_response.embeddings[0][
: voyageai_embedder.config.embedding_dim
]
],
[
float(x)
for x in mock_voyageai_batch_response.embeddings[1][
: voyageai_embedder.config.embedding_dim
]
],
[
float(x)
for x in mock_voyageai_batch_response.embeddings[2][
: voyageai_embedder.config.embedding_dim
]
],
]
assert result == expected_results
if __name__ == '__main__':
pytest.main(['-xvs', __file__])