mirror of
https://github.com/songquanpeng/one-api.git
synced 2025-09-29 22:56:39 +08:00
84 lines
2.3 KiB
Go
84 lines
2.3 KiB
Go
package ali
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import (
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"net/http"
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"one-api/common"
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"one-api/common/config"
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"one-api/types"
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)
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func (p *AliProvider) CreateEmbeddings(request *types.EmbeddingRequest) (*types.EmbeddingResponse, *types.OpenAIErrorWithStatusCode) {
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url, errWithCode := p.GetSupportedAPIUri(config.RelayModeEmbeddings)
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if errWithCode != nil {
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return nil, errWithCode
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}
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// 获取请求地址
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fullRequestURL := p.GetFullRequestURL(url, request.Model)
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// 获取请求头
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headers := p.GetRequestHeaders()
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aliRequest := convertFromEmbeddingOpenai(request)
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// 创建请求
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req, err := p.Requester.NewRequest(http.MethodPost, fullRequestURL, p.Requester.WithBody(aliRequest), p.Requester.WithHeader(headers))
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if err != nil {
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return nil, common.ErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
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}
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defer req.Body.Close()
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aliResponse := &AliEmbeddingResponse{}
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// 发送请求
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_, errWithCode = p.Requester.SendRequest(req, aliResponse, false)
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if errWithCode != nil {
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return nil, errWithCode
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}
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return p.convertToEmbeddingOpenai(aliResponse, request)
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}
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func convertFromEmbeddingOpenai(request *types.EmbeddingRequest) *AliEmbeddingRequest {
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return &AliEmbeddingRequest{
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Model: "text-embedding-v1",
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Input: struct {
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Texts []string `json:"texts"`
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}{
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Texts: request.ParseInput(),
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},
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}
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}
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func (p *AliProvider) convertToEmbeddingOpenai(response *AliEmbeddingResponse, request *types.EmbeddingRequest) (openaiResponse *types.EmbeddingResponse, errWithCode *types.OpenAIErrorWithStatusCode) {
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aiError := errorHandle(&response.AliError)
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if aiError != nil {
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errWithCode = &types.OpenAIErrorWithStatusCode{
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OpenAIError: *aiError,
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StatusCode: http.StatusBadRequest,
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}
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return
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}
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openaiResponse = &types.EmbeddingResponse{
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Object: "list",
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Data: make([]types.Embedding, 0, len(response.Output.Embeddings)),
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Model: request.Model,
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Usage: &types.Usage{
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PromptTokens: response.Usage.TotalTokens,
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CompletionTokens: response.Usage.OutputTokens,
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TotalTokens: response.Usage.TotalTokens,
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},
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}
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for _, item := range response.Output.Embeddings {
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openaiResponse.Data = append(openaiResponse.Data, types.Embedding{
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Object: `embedding`,
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Index: item.TextIndex,
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Embedding: item.Embedding,
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})
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}
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*p.Usage = *openaiResponse.Usage
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return
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}
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