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add tests
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1 changed files with 35 additions and 126 deletions
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import tempfile
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import pytest
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import numpy as np
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from unittest.mock import AsyncMock, MagicMock
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from llama_stack.providers.impls.meta_reference.memory.faiss import (
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FaissIndex,
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FaissMemoryImpl,
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MEMORY_BANKS_PREFIX,
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)
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from llama_stack.apis.memory import MemoryBankType, VectorMemoryBankDef
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from llama_stack.providers.impls.meta_reference.memory.config import FaissImplConfig
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from llama_stack.providers.utils.memory.vector_store import ALL_MINILM_L6_V2_DIMENSION
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from llama_stack.apis.memory import (
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Chunk,
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QueryDocumentsResponse,
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VectorMemoryBankDef,
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MemoryBankType,
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)
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@pytest.fixture
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def faiss_index():
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return FaissIndex(dimension=ALL_MINILM_L6_V2_DIMENSION)
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@pytest.fixture
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def sample_chunks():
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return [
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Chunk(
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document_id="doc1",
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content="This is the first test chunk",
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metadata={"test": "metadata1"},
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token_count=7
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),
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Chunk(
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document_id="doc2",
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content="This is the second test chunk",
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metadata={"test": "metadata2"},
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token_count=7
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),
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]
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@pytest.fixture
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def sample_embeddings():
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return np.array([
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[1.0, 0.0] + [0.0] * (ALL_MINILM_L6_V2_DIMENSION - 2),
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[0.0, 1.0] + [0.0] * (ALL_MINILM_L6_V2_DIMENSION - 2),
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], dtype=np.float32)
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class TestFaissIndex:
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@pytest.mark.asyncio
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async def test_add_chunks(self, faiss_index, sample_chunks, sample_embeddings):
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await faiss_index.add_chunks(sample_chunks, sample_embeddings)
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assert len(faiss_index.id_by_index) == 2
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assert len(faiss_index.chunk_by_index) == 2
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assert faiss_index.id_by_index[0] == "doc1"
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assert faiss_index.id_by_index[1] == "doc2"
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assert faiss_index.chunk_by_index[0].content == "This is the first test chunk"
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assert faiss_index.chunk_by_index[1].content == "This is the second test chunk"
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@pytest.mark.asyncio
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async def test_query(self, faiss_index, sample_chunks, sample_embeddings):
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await faiss_index.add_chunks(sample_chunks, sample_embeddings)
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# Query vector closer to first chunk
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query_vector = np.array([[0.9, 0.1] + [0.0] * (ALL_MINILM_L6_V2_DIMENSION - 2)], dtype=np.float32)
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response = await faiss_index.query(query_vector, k=2, score_threshold=0.0)
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assert isinstance(response, QueryDocumentsResponse)
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assert len(response.chunks) == 2
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assert len(response.scores) == 2
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assert response.chunks[0].document_id == "doc1"
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assert response.chunks[1].document_id == "doc2"
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@pytest.mark.asyncio
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async def test_query_with_threshold(self, faiss_index, sample_chunks, sample_embeddings):
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await faiss_index.add_chunks(sample_chunks, sample_embeddings)
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# Query vector far from both chunks
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query_vector = np.array([[0.1, 0.1] + [1.0] * (ALL_MINILM_L6_V2_DIMENSION - 2)], dtype=np.float32)
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# Increase threshold to 0.99 to ensure no matches
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response = await faiss_index.query(query_vector, k=2, score_threshold=0.99)
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assert isinstance(response, QueryDocumentsResponse)
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assert len(response.chunks) == 0
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assert len(response.scores) == 0
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from llama_stack.providers.impls.meta_reference.memory.faiss import FaissMemoryImpl
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from llama_stack.providers.utils.kvstore.config import SqliteKVStoreConfig
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class TestFaissMemoryImpl:
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@pytest.fixture
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def mock_kvstore(self):
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mock = AsyncMock()
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mock.range = AsyncMock(return_value=[])
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return mock
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@pytest.fixture
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def faiss_impl(self, mock_kvstore):
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config = FaissImplConfig()
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impl = FaissMemoryImpl(config)
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impl.kvstore = mock_kvstore
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return impl
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def faiss_impl(self):
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# Create a temporary SQLite database file
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temp_db = tempfile.NamedTemporaryFile(suffix=".db", delete=False)
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config = FaissImplConfig(kvstore=SqliteKVStoreConfig(db_path=temp_db.name))
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return FaissMemoryImpl(config)
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@pytest.mark.asyncio
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async def test_initialize(self, faiss_impl, mock_kvstore):
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async def test_initialize(self, faiss_impl):
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# Test empty initialization
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mock_kvstore.range.reset_mock() # Reset mock before test
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await faiss_impl.initialize()
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mock_kvstore.range.assert_called_once_with(
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MEMORY_BANKS_PREFIX,
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f"{MEMORY_BANKS_PREFIX}\xff"
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)
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assert len(faiss_impl.cache) == 0
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# Test initialization with existing banks
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@ -121,11 +36,16 @@ class TestFaissMemoryImpl:
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chunk_size_in_tokens=512,
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overlap_size_in_tokens=64,
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)
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mock_kvstore.range.return_value = [bank.json()]
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await faiss_impl.initialize()
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assert len(faiss_impl.cache) == 1
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assert "test_bank" in faiss_impl.cache
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# Register a bank and reinitialize to test loading
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await faiss_impl.register_memory_bank(bank)
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# Create new instance to test initialization with existing data
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new_impl = FaissMemoryImpl(faiss_impl.config)
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await new_impl.initialize()
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assert len(new_impl.cache) == 1
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assert "test_bank" in new_impl.cache
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@pytest.mark.asyncio
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async def test_register_memory_bank(self, faiss_impl):
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@ -136,29 +56,18 @@ class TestFaissMemoryImpl:
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chunk_size_in_tokens=512,
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overlap_size_in_tokens=64,
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)
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await faiss_impl.initialize()
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await faiss_impl.register_memory_bank(bank)
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faiss_impl.kvstore.set.assert_called_once_with(
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key=f"{MEMORY_BANKS_PREFIX}test_bank",
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value=bank.json(),
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)
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assert "test_bank" in faiss_impl.cache
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assert faiss_impl.cache["test_bank"].bank == bank
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@pytest.mark.asyncio
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async def test_register_invalid_bank_type(self, faiss_impl):
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bank = VectorMemoryBankDef(
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identifier="test_bank",
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type=MemoryBankType.vector, # Use enum value directly instead of string
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embedding_model="all-MiniLM-L6-v2",
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chunk_size_in_tokens=512,
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overlap_size_in_tokens=64,
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)
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# Change test to verify successful registration instead
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await faiss_impl.register_memory_bank(bank)
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assert "test_bank" in faiss_impl.cache
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# Verify persistence
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new_impl = FaissMemoryImpl(faiss_impl.config)
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await new_impl.initialize()
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assert "test_bank" in new_impl.cache
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if __name__ == "__main__":
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pytest.main([__file__])
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