milvus/internal/util/function/bedrock_text_embedding_prov...

178 lines
5.8 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 (
"fmt"
"testing"
"github.com/stretchr/testify/suite"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
)
func TestBedrockTextEmbeddingProvider(t *testing.T) {
suite.Run(t, new(BedrockTextEmbeddingProviderSuite))
}
type BedrockTextEmbeddingProviderSuite struct {
suite.Suite
schema *schemapb.CollectionSchema
providers []string
}
func (s *BedrockTextEmbeddingProviderSuite) SetupTest() {
s.schema = &schemapb.CollectionSchema{
Name: "test",
Fields: []*schemapb.FieldSchema{
{FieldID: 100, Name: "int64", DataType: schemapb.DataType_Int64},
{FieldID: 101, Name: "text", DataType: schemapb.DataType_VarChar},
{
FieldID: 102, Name: "vector", DataType: schemapb.DataType_FloatVector,
TypeParams: []*commonpb.KeyValuePair{
{Key: "dim", Value: "4"},
},
},
},
}
s.providers = []string{bedrockProvider}
}
func createBedrockProvider(schema *schemapb.FieldSchema, providerName string, dim int) (textEmbeddingProvider, error) {
functionSchema := &schemapb.FunctionSchema{
Name: "test",
Type: schemapb.FunctionType_Unknown,
InputFieldNames: []string{"text"},
OutputFieldNames: []string{"vector"},
InputFieldIds: []int64{101},
OutputFieldIds: []int64{102},
Params: []*commonpb.KeyValuePair{
{Key: modelNameParamKey, Value: BedRockTitanTextEmbeddingsV2},
{Key: apiKeyParamKey, Value: "mock"},
{Key: dimParamKey, Value: "4"},
},
}
switch providerName {
case bedrockProvider:
return NewBedrockEmbeddingProvider(schema, functionSchema, &MockBedrockClient{dim: dim})
default:
return nil, fmt.Errorf("Unknow provider")
}
}
func (s *BedrockTextEmbeddingProviderSuite) TestEmbedding() {
for _, provderName := range s.providers {
provder, err := createBedrockProvider(s.schema.Fields[2], provderName, 4)
s.NoError(err)
{
data := []string{"sentence"}
ret, err2 := provder.CallEmbedding(data, InsertMode)
s.NoError(err2)
s.Equal(1, len(ret))
s.Equal(4, len(ret[0]))
s.Equal([]float32{0.0, 0.1, 0.2, 0.3}, ret[0])
}
{
data := []string{"sentence 1", "sentence 2", "sentence 3"}
ret, _ := provder.CallEmbedding(data, SearchMode)
s.Equal([][]float32{{0.0, 0.1, 0.2, 0.3}, {0.0, 0.1, 0.2, 0.3}, {0.0, 0.1, 0.2, 0.3}}, ret)
}
}
}
func (s *BedrockTextEmbeddingProviderSuite) TestEmbeddingDimNotMatch() {
for _, provderName := range s.providers {
provder, err := createBedrockProvider(s.schema.Fields[2], provderName, 2)
s.NoError(err)
// embedding dim not match
data := []string{"sentence", "sentence"}
_, err2 := provder.CallEmbedding(data, InsertMode)
s.Error(err2)
}
}
func (s *BedrockTextEmbeddingProviderSuite) TestCreateBedrockClient() {
_, err := createBedRockEmbeddingClient("", "", "")
s.Error(err)
_, err = createBedRockEmbeddingClient("mock_id", "", "")
s.Error(err)
_, err = createBedRockEmbeddingClient("", "mock_key", "")
s.Error(err)
_, err = createBedRockEmbeddingClient("mock_id", "mock_key", "")
s.Error(err)
_, err = createBedRockEmbeddingClient("mock_id", "mock_key", "mock_region")
s.NoError(err)
}
func (s *BedrockTextEmbeddingProviderSuite) TestNewBedrockEmbeddingProvider() {
fieldSchema := &schemapb.FieldSchema{
FieldID: 102, Name: "vector", DataType: schemapb.DataType_FloatVector,
TypeParams: []*commonpb.KeyValuePair{
{Key: "dim", Value: "4"},
},
}
functionSchema := &schemapb.FunctionSchema{
Name: "test",
Type: schemapb.FunctionType_Unknown,
InputFieldNames: []string{"text"},
OutputFieldNames: []string{"vector"},
InputFieldIds: []int64{101},
OutputFieldIds: []int64{102},
Params: []*commonpb.KeyValuePair{
{Key: modelNameParamKey, Value: BedRockTitanTextEmbeddingsV2},
{Key: awsAKIdParamKey, Value: "mock"},
{Key: awsSAKParamKey, Value: "mock"},
{Key: regionParamKey, Value: "mock"},
{Key: dimParamKey, Value: "4"},
{Key: normalizeParamKey, Value: "false"},
},
}
provider, err := NewBedrockEmbeddingProvider(fieldSchema, functionSchema, nil)
s.NoError(err)
s.True(provider.MaxBatch() > 0)
s.Equal(provider.FieldDim(), int64(4))
functionSchema.Params[5] = &commonpb.KeyValuePair{Key: normalizeParamKey, Value: "true"}
_, err = NewBedrockEmbeddingProvider(fieldSchema, functionSchema, nil)
s.NoError(err)
functionSchema.Params[5] = &commonpb.KeyValuePair{Key: normalizeParamKey, Value: "invalid"}
_, err = NewBedrockEmbeddingProvider(fieldSchema, functionSchema, nil)
s.Error(err)
// invalid model name
functionSchema.Params[5] = &commonpb.KeyValuePair{Key: normalizeParamKey, Value: "true"}
functionSchema.Params[0] = &commonpb.KeyValuePair{Key: modelNameParamKey, Value: "UnkownModel"}
_, err = NewBedrockEmbeddingProvider(fieldSchema, functionSchema, nil)
s.Error(err)
// invalid dim
functionSchema.Params[0] = &commonpb.KeyValuePair{Key: modelNameParamKey, Value: BedRockTitanTextEmbeddingsV2}
functionSchema.Params[0] = &commonpb.KeyValuePair{Key: dimParamKey, Value: "Invalid"}
_, err = NewBedrockEmbeddingProvider(fieldSchema, functionSchema, nil)
s.Error(err)
}