mirror of
https://github.com/hwchase17/langchain
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41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
"""Test Atlas functionality."""
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import time
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from langchain.vectorstores import AtlasDB
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from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
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ATLAS_TEST_API_KEY = "7xDPkYXSYDc1_ErdTPIcoAR9RNd8YDlkS3nVNXcVoIMZ6"
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def test_atlas() -> 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 = AtlasDB.from_texts(
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name="langchain_test_project" + str(time.time()),
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texts=texts,
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api_key=ATLAS_TEST_API_KEY,
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embedding=FakeEmbeddings(),
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)
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output = docsearch.similarity_search("foo", k=1)
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assert len(output) == 1
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assert output[0].page_content == "foo"
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def test_atlas_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": str(i)} for i in range(len(texts))]
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docsearch = AtlasDB.from_texts(
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name="langchain_test_project" + str(time.time()),
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texts=texts,
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api_key=ATLAS_TEST_API_KEY,
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embedding=FakeEmbeddings(),
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metadatas=metadatas,
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reset_project_if_exists=True,
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)
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output = docsearch.similarity_search("foo", k=1)
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assert len(output) == 1
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assert output[0].page_content == "foo"
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assert output[0].metadata["page"] == "0"
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