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Fixing DeepLake Overwrite Flag (#4683)
# Fix DeepLake Overwrite Flag Issue Fixes Issue #4682: essentially, setting overwrite to False in the DeepLake constructor still triggers an overwrite, because the logic is just checking for the presence of "overwrite" in kwargs. The fix is simple--just add some checks to inspect if "overwrite" in kwargs AND kwargs["overwrite"]==True. Added a new test in tests/integration_tests/vectorstores/test_deeplake.py to reflect the desired behavior. Co-authored-by: Anirudh Suresh <ani@Anirudhs-MBP.cable.rcn.com> Co-authored-by: Anirudh Suresh <ani@Anirudhs-MacBook-Pro.local> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
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@ -120,10 +120,12 @@ class DeepLake(VectorStore):
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self.dataset_path = dataset_path
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creds_args = {"creds": kwargs["creds"]} if "creds" in kwargs else {}
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if (
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deeplake.exists(dataset_path, token=token, **creds_args)
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and "overwrite" not in kwargs
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if deeplake.exists(dataset_path, token=token, **creds_args) and not kwargs.get(
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"overwrite", False
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):
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if "overwrite" in kwargs:
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del kwargs["overwrite"]
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self.ds = deeplake.load(
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dataset_path,
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token=token,
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@ -83,6 +83,53 @@ def test_deeplakewith_persistence() -> None:
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# Or on program exit
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def test_deeplake_overwrite_flag() -> None:
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"""Test overwrite behavior"""
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dataset_path = "./tests/persist_dir"
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if deeplake.exists(dataset_path):
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deeplake.delete(dataset_path)
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texts = ["foo", "bar", "baz"]
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docsearch = DeepLake.from_texts(
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dataset_path=dataset_path,
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texts=texts,
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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 output == [Document(page_content="foo")]
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docsearch.persist()
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# Get a new VectorStore from the persisted directory, with no overwrite (implicit)
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docsearch = DeepLake(
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dataset_path=dataset_path,
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embedding_function=FakeEmbeddings(),
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)
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output = docsearch.similarity_search("foo", k=1)
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# assert page still present
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assert output == [Document(page_content="foo")]
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# Get a new VectorStore from the persisted directory, with no overwrite (explicit)
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docsearch = DeepLake(
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dataset_path=dataset_path,
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embedding_function=FakeEmbeddings(),
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overwrite=False,
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)
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output = docsearch.similarity_search("foo", k=1)
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# assert page still present
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assert output == [Document(page_content="foo")]
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# Get a new VectorStore from the persisted directory, with overwrite
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docsearch = DeepLake(
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dataset_path=dataset_path,
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embedding_function=FakeEmbeddings(),
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overwrite=True,
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)
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output = docsearch.similarity_search("foo", k=1)
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# assert page no longer present
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assert output == []
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def test_similarity_search(deeplake_datastore: DeepLake, distance_metric: str) -> None:
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"""Test similarity search."""
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output = deeplake_datastore.similarity_search(
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