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# Licensed to Elasticsearch B.V. under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. licenses this file to you under
# the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import pytest
from elasticsearch.helpers.vectorstore import (
DenseVectorScriptScoreStrategy,
DenseVectorStrategy,
SparseVectorStrategy,
)
def test_sparse_vector_strategy_raises_errors():
strategy = SparseVectorStrategy("my_model_id")
with pytest.raises(ValueError):
# missing query
strategy.es_query(
query=None,
query_vector=None,
text_field="text_field",
vector_field="vector_field",
k=10,
num_candidates=20,
filter=[],
)
with pytest.raises(ValueError):
# query vector not allowed
strategy.es_query(
query="hi",
query_vector=[1, 2, 3],
text_field="text_field",
vector_field="vector_field",
k=10,
num_candidates=20,
filter=[],
)
def test_dense_vector_strategy_raises_error():
with pytest.raises(ValueError):
# unknown distance
DenseVectorStrategy(hybrid=True, text_field=None)
with pytest.raises(ValueError):
# unknown distance
DenseVectorStrategy(distance="unknown distance").es_mappings_settings(
text_field="text_field", vector_field="vector_field", num_dimensions=10
)
def test_dense_vector_script_score_strategy_raises_error():
with pytest.raises(ValueError):
# missing query vector
DenseVectorScriptScoreStrategy().es_query(
query=None,
query_vector=None,
text_field="text_field",
vector_field="vector_field",
k=10,
num_candidates=20,
filter=[],
)
with pytest.raises(ValueError):
# unknown distance
DenseVectorScriptScoreStrategy(distance="unknown distance").es_query(
query=None,
query_vector=[1, 2, 3],
text_field="text_field",
vector_field="vector_field",
k=10,
num_candidates=20,
filter=[],
)
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