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fix(python)!: handle bad openai embeddings gracefully (#1873)
BREAKING-CHANGE: change Pydantic Vector field to be nullable by default. Closes #1577
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@@ -1,15 +1,6 @@
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# Copyright (c) 2023. LanceDB Developers
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright The LanceDB Authors
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import importlib
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import io
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import os
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@@ -17,6 +8,7 @@ import os
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import lancedb
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import numpy as np
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import pandas as pd
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import pyarrow as pa
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import pytest
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from lancedb.embeddings import get_registry
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from lancedb.pydantic import LanceModel, Vector
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@@ -444,6 +436,30 @@ def test_watsonx_embedding(tmp_path):
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assert tbl.search("hello").limit(1).to_pandas()["text"][0] == "hello world"
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@pytest.mark.slow
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@pytest.mark.skipif(
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os.environ.get("OPENAI_API_KEY") is None, reason="OPENAI_API_KEY not set"
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)
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def test_openai_with_empty_strs(tmp_path):
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model = get_registry().get("openai").create(max_retries=0)
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class TextModel(LanceModel):
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text: str = model.SourceField()
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vector: Vector(model.ndims()) = model.VectorField()
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df = pd.DataFrame({"text": ["hello world", ""]})
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db = lancedb.connect(tmp_path)
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tbl = db.create_table("test", schema=TextModel, mode="overwrite")
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tbl.add(df, on_bad_vectors="skip")
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tb = tbl.to_arrow()
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assert tb.schema.field_by_name("vector").type == pa.list_(
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pa.float32(), model.ndims()
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)
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assert len(tb) == 2
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assert tb["vector"].is_null().to_pylist() == [False, True]
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@pytest.mark.slow
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@pytest.mark.skipif(
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importlib.util.find_spec("ollama") is None, reason="Ollama not installed"
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