mirror of https://github.com/milvus-io/milvus.git
178 lines
5.8 KiB
Go
178 lines
5.8 KiB
Go
/*
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* # Licensed to the LF AI & Data foundation under one
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* # or more contributor license agreements. See the NOTICE file
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* # distributed with this work for additional information
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* # regarding copyright ownership. The ASF licenses this file
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* # to you under the Apache License, Version 2.0 (the
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* # "License"); you may not use this file except in compliance
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* # with the License. You may obtain a copy of the License at
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* #
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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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*/
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package function
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import (
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"fmt"
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"testing"
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"github.com/stretchr/testify/suite"
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"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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)
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func TestBedrockTextEmbeddingProvider(t *testing.T) {
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suite.Run(t, new(BedrockTextEmbeddingProviderSuite))
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}
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type BedrockTextEmbeddingProviderSuite struct {
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suite.Suite
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schema *schemapb.CollectionSchema
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providers []string
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}
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func (s *BedrockTextEmbeddingProviderSuite) SetupTest() {
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s.schema = &schemapb.CollectionSchema{
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Name: "test",
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Fields: []*schemapb.FieldSchema{
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{FieldID: 100, Name: "int64", DataType: schemapb.DataType_Int64},
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{FieldID: 101, Name: "text", DataType: schemapb.DataType_VarChar},
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{
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FieldID: 102, Name: "vector", DataType: schemapb.DataType_FloatVector,
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TypeParams: []*commonpb.KeyValuePair{
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{Key: "dim", Value: "4"},
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},
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},
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},
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}
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s.providers = []string{bedrockProvider}
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}
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func createBedrockProvider(schema *schemapb.FieldSchema, providerName string, dim int) (textEmbeddingProvider, error) {
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functionSchema := &schemapb.FunctionSchema{
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Name: "test",
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Type: schemapb.FunctionType_Unknown,
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InputFieldNames: []string{"text"},
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OutputFieldNames: []string{"vector"},
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InputFieldIds: []int64{101},
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OutputFieldIds: []int64{102},
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Params: []*commonpb.KeyValuePair{
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{Key: modelNameParamKey, Value: BedRockTitanTextEmbeddingsV2},
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{Key: apiKeyParamKey, Value: "mock"},
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{Key: dimParamKey, Value: "4"},
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},
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}
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switch providerName {
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case bedrockProvider:
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return NewBedrockEmbeddingProvider(schema, functionSchema, &MockBedrockClient{dim: dim})
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default:
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return nil, fmt.Errorf("Unknow provider")
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}
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}
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func (s *BedrockTextEmbeddingProviderSuite) TestEmbedding() {
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for _, provderName := range s.providers {
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provder, err := createBedrockProvider(s.schema.Fields[2], provderName, 4)
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s.NoError(err)
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{
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data := []string{"sentence"}
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ret, err2 := provder.CallEmbedding(data, InsertMode)
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s.NoError(err2)
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s.Equal(1, len(ret))
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s.Equal(4, len(ret[0]))
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s.Equal([]float32{0.0, 0.1, 0.2, 0.3}, ret[0])
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}
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{
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data := []string{"sentence 1", "sentence 2", "sentence 3"}
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ret, _ := provder.CallEmbedding(data, SearchMode)
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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)
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}
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}
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}
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func (s *BedrockTextEmbeddingProviderSuite) TestEmbeddingDimNotMatch() {
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for _, provderName := range s.providers {
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provder, err := createBedrockProvider(s.schema.Fields[2], provderName, 2)
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s.NoError(err)
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// embedding dim not match
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data := []string{"sentence", "sentence"}
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_, err2 := provder.CallEmbedding(data, InsertMode)
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s.Error(err2)
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}
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}
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func (s *BedrockTextEmbeddingProviderSuite) TestCreateBedrockClient() {
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_, err := createBedRockEmbeddingClient("", "", "")
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s.Error(err)
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_, err = createBedRockEmbeddingClient("mock_id", "", "")
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s.Error(err)
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_, err = createBedRockEmbeddingClient("", "mock_key", "")
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s.Error(err)
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_, err = createBedRockEmbeddingClient("mock_id", "mock_key", "")
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s.Error(err)
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_, err = createBedRockEmbeddingClient("mock_id", "mock_key", "mock_region")
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s.NoError(err)
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}
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func (s *BedrockTextEmbeddingProviderSuite) TestNewBedrockEmbeddingProvider() {
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fieldSchema := &schemapb.FieldSchema{
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FieldID: 102, Name: "vector", DataType: schemapb.DataType_FloatVector,
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TypeParams: []*commonpb.KeyValuePair{
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{Key: "dim", Value: "4"},
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},
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}
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functionSchema := &schemapb.FunctionSchema{
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Name: "test",
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Type: schemapb.FunctionType_Unknown,
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InputFieldNames: []string{"text"},
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OutputFieldNames: []string{"vector"},
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InputFieldIds: []int64{101},
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OutputFieldIds: []int64{102},
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Params: []*commonpb.KeyValuePair{
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{Key: modelNameParamKey, Value: BedRockTitanTextEmbeddingsV2},
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{Key: awsAKIdParamKey, Value: "mock"},
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{Key: awsSAKParamKey, Value: "mock"},
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{Key: regionParamKey, Value: "mock"},
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{Key: dimParamKey, Value: "4"},
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{Key: normalizeParamKey, Value: "false"},
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},
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}
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provider, err := NewBedrockEmbeddingProvider(fieldSchema, functionSchema, nil)
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s.NoError(err)
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s.True(provider.MaxBatch() > 0)
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s.Equal(provider.FieldDim(), int64(4))
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functionSchema.Params[5] = &commonpb.KeyValuePair{Key: normalizeParamKey, Value: "true"}
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_, err = NewBedrockEmbeddingProvider(fieldSchema, functionSchema, nil)
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s.NoError(err)
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functionSchema.Params[5] = &commonpb.KeyValuePair{Key: normalizeParamKey, Value: "invalid"}
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_, err = NewBedrockEmbeddingProvider(fieldSchema, functionSchema, nil)
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s.Error(err)
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// invalid model name
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functionSchema.Params[5] = &commonpb.KeyValuePair{Key: normalizeParamKey, Value: "true"}
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functionSchema.Params[0] = &commonpb.KeyValuePair{Key: modelNameParamKey, Value: "UnkownModel"}
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_, err = NewBedrockEmbeddingProvider(fieldSchema, functionSchema, nil)
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s.Error(err)
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// invalid dim
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functionSchema.Params[0] = &commonpb.KeyValuePair{Key: modelNameParamKey, Value: BedRockTitanTextEmbeddingsV2}
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functionSchema.Params[0] = &commonpb.KeyValuePair{Key: dimParamKey, Value: "Invalid"}
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_, err = NewBedrockEmbeddingProvider(fieldSchema, functionSchema, nil)
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s.Error(err)
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}
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