milvus/internal/util/function/models/voyageai/voyageai_text_embedding.go
SimFG 91d40fa558
fix: Update logging context and upgrade dependencies (#41318)
- issue: #41291

---------

Signed-off-by: SimFG <bang.fu@zilliz.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2025-04-23 10:52:38 +08:00

162 lines
4.0 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 voyageai
import (
"context"
"encoding/json"
"fmt"
"net/http"
"sort"
"time"
"github.com/cockroachdb/errors"
"github.com/milvus-io/milvus/internal/util/function/models/utils"
)
type EmbeddingRequest struct {
// ID of the model to use.
Model string `json:"model"`
// Input text to embed, encoded as a string.
Input []string `json:"input"`
InputType string `json:"input_type,omitempty"`
Truncation bool `json:"truncation,omitempty"`
OutputDimension int64 `json:"output_dimension,omitempty"`
OutputDtype string `json:"output_dtype,omitempty"`
EncodingFormat string `json:"encoding_format,omitempty"`
}
type Usage struct {
// The total number of tokens used by the request.
TotalTokens int `json:"total_tokens"`
}
type EmbeddingData[T int8 | float32] struct {
Object string `json:"object"`
Embedding []T `json:"embedding"`
Index int `json:"index"`
}
type EmbeddingResponse[T int8 | float32] struct {
Object string `json:"object"`
Model string `json:"model"`
Usage Usage `json:"usage"`
Data []EmbeddingData[T] `json:"data"`
}
type ByIndex[T int8 | float32] struct {
resp *EmbeddingResponse[T]
}
func (eb *ByIndex[T]) Len() int { return len(eb.resp.Data) }
func (eb *ByIndex[T]) Swap(i, j int) {
eb.resp.Data[i], eb.resp.Data[j] = eb.resp.Data[j], eb.resp.Data[i]
}
func (eb *ByIndex[T]) Less(i, j int) bool {
return eb.resp.Data[i].Index < eb.resp.Data[j].Index
}
type ErrorInfo struct {
Code string `json:"code"`
Message string `json:"message"`
RequestID string `json:"request_id"`
}
type VoyageAIEmbedding struct {
apiKey string
url string
}
func NewVoyageAIEmbeddingClient(apiKey string, url string) *VoyageAIEmbedding {
return &VoyageAIEmbedding{
apiKey: apiKey,
url: url,
}
}
func (c *VoyageAIEmbedding) Check() error {
if c.apiKey == "" {
return errors.New("api key is empty")
}
if c.url == "" {
return errors.New("url is empty")
}
return nil
}
func (c *VoyageAIEmbedding) Embedding(modelName string, texts []string, dim int, textType string, outputType string, truncation bool, timeoutSec int64) (any, error) {
if outputType != "float" && outputType != "int8" {
return nil, fmt.Errorf("Voyageai: unsupport output type: [%s], only support float and int8", outputType)
}
var r EmbeddingRequest
r.Model = modelName
r.Input = texts
r.InputType = textType
r.OutputDtype = outputType
r.Truncation = truncation
if dim != 0 {
r.OutputDimension = int64(dim)
}
data, err := json.Marshal(r)
if err != nil {
return nil, err
}
if timeoutSec <= 0 {
timeoutSec = utils.DefaultTimeout
}
ctx, cancel := context.WithTimeout(context.Background(), time.Duration(timeoutSec)*time.Second)
defer cancel()
headers := map[string]string{
"Content-Type": "application/json",
"Authorization": fmt.Sprintf("Bearer %s", c.apiKey),
}
body, err := utils.RetrySend(ctx, data, http.MethodPost, c.url, headers, 3, 1)
if err != nil {
return nil, err
}
if outputType == "float" {
var res EmbeddingResponse[float32]
err = json.Unmarshal(body, &res)
if err != nil {
return nil, err
}
sort.Sort(&ByIndex[float32]{&res})
return &res, err
}
var res EmbeddingResponse[int8]
err = json.Unmarshal(body, &res)
if err != nil {
return nil, err
}
sort.Sort(&ByIndex[int8]{&res})
return &res, err
}