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>
dynamic_agent_tools
Anirudh Suresh 1 year ago committed by GitHub
parent 8bb32d77d0
commit 03ac39368f
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@ -120,10 +120,12 @@ class DeepLake(VectorStore):
self.dataset_path = dataset_path
creds_args = {"creds": kwargs["creds"]} if "creds" in kwargs else {}
if (
deeplake.exists(dataset_path, token=token, **creds_args)
and "overwrite" not in kwargs
if deeplake.exists(dataset_path, token=token, **creds_args) and not kwargs.get(
"overwrite", False
):
if "overwrite" in kwargs:
del kwargs["overwrite"]
self.ds = deeplake.load(
dataset_path,
token=token,

@ -83,6 +83,53 @@ def test_deeplakewith_persistence() -> None:
# Or on program exit
def test_deeplake_overwrite_flag() -> None:
"""Test overwrite behavior"""
dataset_path = "./tests/persist_dir"
if deeplake.exists(dataset_path):
deeplake.delete(dataset_path)
texts = ["foo", "bar", "baz"]
docsearch = DeepLake.from_texts(
dataset_path=dataset_path,
texts=texts,
embedding=FakeEmbeddings(),
)
output = docsearch.similarity_search("foo", k=1)
assert output == [Document(page_content="foo")]
docsearch.persist()
# Get a new VectorStore from the persisted directory, with no overwrite (implicit)
docsearch = DeepLake(
dataset_path=dataset_path,
embedding_function=FakeEmbeddings(),
)
output = docsearch.similarity_search("foo", k=1)
# assert page still present
assert output == [Document(page_content="foo")]
# Get a new VectorStore from the persisted directory, with no overwrite (explicit)
docsearch = DeepLake(
dataset_path=dataset_path,
embedding_function=FakeEmbeddings(),
overwrite=False,
)
output = docsearch.similarity_search("foo", k=1)
# assert page still present
assert output == [Document(page_content="foo")]
# Get a new VectorStore from the persisted directory, with overwrite
docsearch = DeepLake(
dataset_path=dataset_path,
embedding_function=FakeEmbeddings(),
overwrite=True,
)
output = docsearch.similarity_search("foo", k=1)
# assert page no longer present
assert output == []
def test_similarity_search(deeplake_datastore: DeepLake, distance_metric: str) -> None:
"""Test similarity search."""
output = deeplake_datastore.similarity_search(

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