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milvus-io--milvus/internal/util/function/multi_analyzer_bm25_function_test.go
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chore: import upstream snapshot with attribution
2026-07-13 12:31:17 +08:00

238 lines
7.5 KiB
Go

/*
* # Licensed to the LF AI & Data foundation under one
* # or more contributor license agreements. See the NOTICE file
* # distributed with this work for additional information
* # regarding copyright ownership. The ASF 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.
*/
package function
import (
"sync/atomic"
"testing"
"github.com/stretchr/testify/mock"
"github.com/stretchr/testify/suite"
"github.com/milvus-io/milvus-proto/go-api/v3/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v3/milvuspb"
"github.com/milvus-io/milvus-proto/go-api/v3/schemapb"
"github.com/milvus-io/milvus/internal/util/analyzer"
"github.com/milvus-io/milvus/internal/util/analyzer/interfaces"
)
type MultiAnalyzerBM25FunctionSuite struct {
suite.Suite
collection *schemapb.CollectionSchema
function *schemapb.FunctionSchema
runner *MultiAnalyzerBM25FunctionRunner
}
func (s *MultiAnalyzerBM25FunctionSuite) SetupSuite() {
s.collection = &schemapb.CollectionSchema{
Name: "test_collection",
Fields: []*schemapb.FieldSchema{
{
Name: "text",
FieldID: 101,
DataType: schemapb.DataType_VarChar,
TypeParams: []*commonpb.KeyValuePair{
{
Key: "max_length",
Value: "255",
}, {
Key: "enable_analyzer",
Value: "true",
}, {
Key: "multi_analyzer_params",
Value: "{\"by_field\": \"analyzer\", \"analyzers\": {\"default\": { \"type\": \"standard\"}, \"english\": {\"type\": \"english\"}}}",
},
},
},
{
Name: "analyzer",
DataType: schemapb.DataType_VarChar,
FieldID: 102,
TypeParams: []*commonpb.KeyValuePair{
{
Key: "max_length",
Value: "255",
},
},
},
{
Name: "output",
FieldID: 103,
DataType: schemapb.DataType_SparseFloatVector,
},
},
}
s.function = &schemapb.FunctionSchema{
Name: "bm25",
Type: schemapb.FunctionType_BM25,
InputFieldNames: []string{"text"},
InputFieldIds: []int64{101},
OutputFieldNames: []string{"output"},
OutputFieldIds: []int64{103},
}
}
func (s *MultiAnalyzerBM25FunctionSuite) TestNewMultiAnalyzerBM25FunctionRunner() {
s.Run("normal", func() {
runner, err := NewBM25FunctionRunner(s.collection, s.function)
s.NoError(err)
s.NotNil(runner)
_, ok := runner.(*MultiAnalyzerBM25FunctionRunner)
s.True(ok)
})
s.Run("lack dependent field in params", func() {
// return error when by_field not in params
_, err := NewMultiAnalyzerBM25FunctionRunner(s.collection, s.function, s.collection.Fields[0], s.collection.Fields[2], "{\"analyzers\": {\"default\": { \"type\": \"standard\"}}}")
s.Error(err)
})
s.Run("dependent field name not string in params", func() {
// return error when by_field not string
_, err := NewMultiAnalyzerBM25FunctionRunner(s.collection, s.function, s.collection.Fields[0], s.collection.Fields[2], "\"by_field\": 1, {\"analyzers\": {\"default\": { \"type\": \"standard\"}}}")
s.Error(err)
})
s.Run("dependent field not exist in collection", func() {
_, err := NewMultiAnalyzerBM25FunctionRunner(s.collection, s.function, s.collection.Fields[0], s.collection.Fields[2], "{\"by_field\": \"not_exist\", \"analyzers\": {\"default\": { \"type\": \"standard\"}}}")
s.Error(err)
})
s.Run("analyzers not exist in params", func() {
// return error when analyzers not in params
_, err := NewMultiAnalyzerBM25FunctionRunner(s.collection, s.function, s.collection.Fields[0], s.collection.Fields[2], "{\"by_field\": \"analyzer\"}")
s.Error(err)
})
s.Run("analyzers not json object in params", func() {
_, err := NewMultiAnalyzerBM25FunctionRunner(s.collection, s.function, s.collection.Fields[0], s.collection.Fields[2], "{\"by_field\": \"analyzer\", \"analyzers\": \"default\"}")
s.Error(err)
})
s.Run("invalid analyzer in analyers", func() {
_, err := NewMultiAnalyzerBM25FunctionRunner(s.collection, s.function, s.collection.Fields[0], s.collection.Fields[2], "{\"by_field\": \"analyzer\", \"analyzers\": {\"default\": { \"type\": \"invalid\"}}}")
s.Error(err)
})
}
func (s *MultiAnalyzerBM25FunctionSuite) TestBatchRun() {
s.Run("normal", func() {
runner, err := NewBM25FunctionRunner(s.collection, s.function)
s.NoError(err)
s.NotNil(runner)
_, ok := runner.(*MultiAnalyzerBM25FunctionRunner)
s.True(ok)
// test batch run
text := []string{"test of analyzer", "test of analyzer"}
analyzerName := []string{"english", "default"}
result, err := runner.BatchRun(text, analyzerName)
s.NoError(err)
sparseArray, ok := result[0].(*schemapb.SparseFloatArray)
s.Require().True(ok)
s.Require().Equal(2, len(sparseArray.GetContents()))
// english analyzer will remove stop word like "of"
// so the result will be two token
// bytes size will be 2 * 2 * 4 = 16
s.Equal(16, len(sparseArray.GetContents()[0]))
// bytes size will be 3 * 2 * 4 = 24
s.Equal(24, len(sparseArray.GetContents()[1]))
runner.Close()
// run after close
_, err = runner.BatchRun(text, analyzerName)
s.Error(err)
})
}
func (s *MultiAnalyzerBM25FunctionSuite) TestBatchAnalyze() {
s.Run("normal", func() {
runner, err := NewBM25FunctionRunner(s.collection, s.function)
s.NoError(err)
s.NotNil(runner)
analyzer, ok := runner.(Analyzer)
s.True(ok)
text := []string{"test of analyzer", "test of analyzer"}
analyzerName := []string{"english", "default"}
result, err := analyzer.BatchAnalyze(true, false, text, analyzerName)
s.NoError(err)
s.Equal(2, len(result))
s.Equal(2, len(result[0]))
s.Equal(3, len(result[1]))
})
}
func (s *MultiAnalyzerBM25FunctionSuite) newTrackingAnalyzer(active *atomic.Int32, maxActive *atomic.Int32) *interfaces.MockAnalyzer {
tokenizer := interfaces.NewMockAnalyzer(s.T())
tokenizer.EXPECT().Clone().Return(tokenizer, nil)
tokenizer.EXPECT().NewTokenStream(mock.Anything).RunAndReturn(func(text string) interfaces.TokenStream {
return newTrackingTokenStream(text, active, maxActive)
})
tokenizer.EXPECT().Destroy().Return()
return tokenizer
}
func (s *MultiAnalyzerBM25FunctionSuite) TestRunReleasesTokenStreamsPerInput() {
var active, maxActive atomic.Int32
runner := &MultiAnalyzerBM25FunctionRunner{
analyzers: map[string]analyzer.Analyzer{
"default": s.newTrackingAnalyzer(&active, &maxActive),
},
}
dst := make([]map[uint32]float32, 3)
err := runner.run([]string{"a", "b", "c"}, []string{"default", "default", "default"}, dst)
s.NoError(err)
s.Equal(int32(0), active.Load())
s.Equal(int32(1), maxActive.Load())
}
func (s *MultiAnalyzerBM25FunctionSuite) TestAnalyzeReleasesTokenStreamsPerInput() {
var active, maxActive atomic.Int32
runner := &MultiAnalyzerBM25FunctionRunner{
analyzers: map[string]analyzer.Analyzer{
"default": s.newTrackingAnalyzer(&active, &maxActive),
},
}
dst := make([][]*milvuspb.AnalyzerToken, 3)
err := runner.analyze([]string{"a", "b", "c"}, []string{"default", "default", "default"}, dst, false, false)
s.NoError(err)
s.Equal(int32(0), active.Load())
s.Equal(int32(1), maxActive.Load())
}
func TestMultiAnalyzerBm25Function(t *testing.T) {
suite.Run(t, new(MultiAnalyzerBM25FunctionSuite))
}