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e1ae2bcbd8
Add `to_list` to return query results as list of python dict (so we're not too pandas-centric). Closes #555 Add `to_pandas` API and add deprecation warning on `to_df`. Closes #545 Co-authored-by: Chang She <chang@lancedb.com>
78 lines
1.9 KiB
Python
78 lines
1.9 KiB
Python
# Copyright 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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import pandas as pd
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import pytest
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from lancedb.context import contextualize
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@pytest.fixture
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def raw_df() -> pd.DataFrame:
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return pd.DataFrame(
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{
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"token": [
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"The",
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"quick",
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"brown",
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"fox",
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"jumped",
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"over",
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"the",
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"lazy",
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"dog",
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"I",
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"love",
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"sandwiches",
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],
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"document_id": [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2],
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}
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)
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def test_contextualizer(raw_df: pd.DataFrame):
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result = (
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contextualize(raw_df)
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.window(6)
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.stride(3)
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.text_col("token")
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.groupby("document_id")
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.to_pandas()["token"]
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.to_list()
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)
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assert result == [
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"The quick brown fox jumped over",
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"fox jumped over the lazy dog",
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"the lazy dog",
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"I love sandwiches",
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]
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def test_contextualizer_with_threshold(raw_df: pd.DataFrame):
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result = (
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contextualize(raw_df)
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.window(6)
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.stride(3)
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.text_col("token")
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.groupby("document_id")
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.min_window_size(4)
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.to_pandas()["token"]
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.to_list()
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)
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assert result == [
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"The quick brown fox jumped over",
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"fox jumped over the lazy dog",
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]
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