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56 lines
1.9 KiB
Python
56 lines
1.9 KiB
Python
"""Test AwaDB functionality."""
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from langchain.docstore.document import Document
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from langchain.vectorstores import AwaDB
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from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
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def test_awadb() -> None:
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"""Test end to end construction and search."""
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texts = ["foo", "bar", "baz"]
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docsearch = AwaDB.from_texts(
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table_name="test_awadb", texts=texts, embedding=FakeEmbeddings()
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)
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output = docsearch.similarity_search("foo", k=1)
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assert output == [Document(page_content="foo")]
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def test_awadb_with_metadatas() -> None:
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"""Test end to end construction and search."""
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texts = ["foo", "bar", "baz"]
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metadatas = [{"page": i} for i in range(len(texts))]
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docsearch = AwaDB.from_texts(
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table_name="test_awadb",
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texts=texts,
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embedding=FakeEmbeddings(),
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metadatas=metadatas,
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)
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output = docsearch.similarity_search("foo", k=1)
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assert output == [Document(page_content="foo", metadata={"page": 0})]
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def test_awadb_with_metadatas_with_scores() -> None:
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"""Test end to end construction and scored search."""
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texts = ["foo", "bar", "baz"]
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metadatas = [{"page": str(i)} for i in range(len(texts))]
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docsearch = AwaDB.from_texts(
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table_name="test_awadb",
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texts=texts,
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embedding=FakeEmbeddings(),
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metadatas=metadatas,
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)
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output = docsearch.similarity_search_with_score("foo", k=1)
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assert output == [(Document(page_content="foo", metadata={"page": "0"}), 0.0)]
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def test_awadb_add_texts() -> None:
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"""Test end to end adding of texts."""
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# Create initial doc store.
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texts = ["foo", "bar", "baz"]
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docsearch = AwaDB.from_texts(
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table_name="test_awadb", texts=texts, embedding=FakeEmbeddings()
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)
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# Test adding a similar document as before.
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docsearch.add_texts(["foo"])
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output = docsearch.similarity_search("foo", k=2)
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assert output == [Document(page_content="foo"), Document(page_content="foo")]
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