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improve memory test, but it fails on chromadb :/
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4ab6e1b81a
commit
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2 changed files with 56 additions and 13 deletions
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@ -99,7 +99,7 @@ class ChromaMemoryAdapter(Memory):
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memory_bank.type == MemoryBankType.vector.value
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), f"Only vector banks are supported {memory_bank.type}"
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collection = await self.client.create_collection(
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collection = await self.client.get_or_create_collection(
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name=memory_bank.identifier,
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)
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bank_index = BankWithIndex(
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@ -22,13 +22,29 @@ async def memory_impl():
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@pytest.fixture
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def sample_document():
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return MemoryBankDocument(
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document_id="doc1",
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content="This is a sample document for testing.",
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mime_type="text/plain",
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metadata={"author": "Test Author"},
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)
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def sample_documents():
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return [
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MemoryBankDocument(
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document_id="doc1",
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content="Python is a high-level programming language.",
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metadata={"category": "programming", "difficulty": "beginner"},
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),
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MemoryBankDocument(
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document_id="doc2",
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content="Machine learning is a subset of artificial intelligence.",
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metadata={"category": "AI", "difficulty": "advanced"},
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),
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MemoryBankDocument(
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document_id="doc3",
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content="Data structures are fundamental to computer science.",
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metadata={"category": "computer science", "difficulty": "intermediate"},
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),
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MemoryBankDocument(
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document_id="doc4",
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content="Neural networks are inspired by biological neural networks.",
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metadata={"category": "AI", "difficulty": "advanced"},
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),
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]
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async def register_memory_bank(memory_impl: Memory):
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@ -44,17 +60,44 @@ async def register_memory_bank(memory_impl: Memory):
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@pytest.mark.asyncio
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async def test_query_documents(memory_impl, sample_document):
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async def test_query_documents(memory_impl, sample_documents):
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with pytest.raises(ValueError):
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await memory_impl.insert_documents("test_bank", [sample_document])
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await memory_impl.insert_documents("test_bank", sample_documents)
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await register_memory_bank(memory_impl)
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await memory_impl.insert_documents("test_bank", [sample_document])
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await memory_impl.insert_documents("test_bank", sample_documents)
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query = ["sample ", "document"]
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response = await memory_impl.query_documents("test_bank", query)
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query1 = "programming language"
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response1 = await memory_impl.query_documents("test_bank", query1)
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assert_valid_response(response1)
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assert any("Python" in chunk.content for chunk in response1.chunks)
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# Test case 3: Query with semantic similarity
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query3 = "AI and brain-inspired computing"
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response3 = await memory_impl.query_documents("test_bank", query3)
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assert_valid_response(response3)
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assert any("neural networks" in chunk.content.lower() for chunk in response3.chunks)
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# Test case 4: Query with limit on number of results
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query4 = "computer"
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params4 = {"max_chunks": 2}
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response4 = await memory_impl.query_documents("test_bank", query4, params4)
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assert_valid_response(response4)
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assert len(response4.chunks) <= 2
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# Test case 5: Query with threshold on similarity score
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query5 = "quantum computing" # Not directly related to any document
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params5 = {"score_threshold": 0.5}
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response5 = await memory_impl.query_documents("test_bank", query5, params5)
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assert_valid_response(response5)
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assert all(score >= 0.5 for score in response5.scores)
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def assert_valid_response(response: QueryDocumentsResponse):
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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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assert len(response.chunks) == len(response.scores)
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for chunk in response.chunks:
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assert isinstance(chunk.content, str)
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assert chunk.document_id is not None
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