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import numpy
import pytest
from pytest_mock import MockerFixture
import autogpt.memory.vector.memory_item as vector_memory_item
import autogpt.memory.vector.providers.base as memory_provider_base
from autogpt.config.config import Config
from autogpt.core.resource.model_providers import OPEN_AI_EMBEDDING_MODELS
from autogpt.memory.vector import get_memory
from autogpt.memory.vector.utils import Embedding
@pytest.fixture
def embedding_dimension(config: Config):
return OPEN_AI_EMBEDDING_MODELS[config.embedding_model].embedding_dimensions
@pytest.fixture
def mock_embedding(embedding_dimension: int) -> Embedding:
return numpy.full((1, embedding_dimension), 0.0255, numpy.float32)[0]
@pytest.fixture
def mock_get_embedding(mocker: MockerFixture, mock_embedding: Embedding):
mocker.patch.object(
vector_memory_item,
"get_embedding",
return_value=mock_embedding,
)
mocker.patch.object(
memory_provider_base,
"get_embedding",
return_value=mock_embedding,
)
@pytest.fixture
def memory_none(agent_test_config: Config, mock_get_embedding):
was_memory_backend = agent_test_config.memory_backend
agent_test_config.memory_backend = "no_memory"
yield get_memory(agent_test_config)
agent_test_config.memory_backend = was_memory_backend
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