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2cec2a8937
This changes `lancedb` from a "pure python" setuptools project to a maturin project and adds a rust lancedb dependency. The async python client is extremely minimal (only `connect` and `Connection.table_names` are supported). The purpose of this PR is to get the infrastructure in place for building out the rest of the async client. Although this is not technically a breaking change (no APIs are changing) it is still a considerable change in the way the wheels are built because they now include the native shared library.
42 lines
1.3 KiB
Python
42 lines
1.3 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 lancedb
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import pyarrow as pa
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from lancedb.remote.client import VectorQuery, VectorQueryResult
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class FakeLanceDBClient:
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def close(self):
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pass
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def query(self, table_name: str, query: VectorQuery) -> VectorQueryResult:
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assert table_name == "test"
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t = pa.schema([]).empty_table()
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return VectorQueryResult(t)
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def post(self, path: str):
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pass
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def mount_retry_adapter_for_table(self, table_name: str):
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pass
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def test_remote_db():
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conn = lancedb.connect("db://client-will-be-injected", api_key="fake")
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setattr(conn, "_client", FakeLanceDBClient())
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table = conn["test"]
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table.schema = pa.schema([pa.field("vector", pa.list_(pa.float32(), 2))])
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table.search([1.0, 2.0]).to_pandas()
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