Files
new-api/relay/relay_embedding.go
2025-01-23 05:54:39 +08:00

128 lines
4.3 KiB
Go

package relay
import (
"bytes"
"encoding/json"
"fmt"
"github.com/gin-gonic/gin"
"net/http"
"one-api/common"
"one-api/dto"
relaycommon "one-api/relay/common"
relayconstant "one-api/relay/constant"
"one-api/service"
"one-api/setting"
)
func getEmbeddingPromptToken(embeddingRequest dto.EmbeddingRequest) int {
token, _ := service.CountTokenInput(embeddingRequest.Input, embeddingRequest.Model)
return token
}
func EmbeddingHelper(c *gin.Context, relayMode int) (openaiErr *dto.OpenAIErrorWithStatusCode) {
relayInfo := relaycommon.GenRelayInfo(c)
var embeddingRequest *dto.EmbeddingRequest
err := common.UnmarshalBodyReusable(c, &embeddingRequest)
if err != nil {
common.LogError(c, fmt.Sprintf("getAndValidateTextRequest failed: %s", err.Error()))
return service.OpenAIErrorWrapperLocal(err, "invalid_text_request", http.StatusBadRequest)
}
if relayMode == relayconstant.RelayModeModerations && embeddingRequest.Model == "" {
embeddingRequest.Model = "m3e-base"
}
if relayMode == relayconstant.RelayModeEmbeddings && embeddingRequest.Model == "" {
embeddingRequest.Model = c.Param("model")
}
if embeddingRequest.Input == nil || len(embeddingRequest.Input) == 0 {
return service.OpenAIErrorWrapperLocal(fmt.Errorf("input is empty"), "invalid_input", http.StatusBadRequest)
}
// map model name
modelMapping := c.GetString("model_mapping")
//isModelMapped := false
if modelMapping != "" && modelMapping != "{}" {
modelMap := make(map[string]string)
err := json.Unmarshal([]byte(modelMapping), &modelMap)
if err != nil {
return service.OpenAIErrorWrapperLocal(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
}
if modelMap[embeddingRequest.Model] != "" {
embeddingRequest.Model = modelMap[embeddingRequest.Model]
// set upstream model name
//isModelMapped = true
}
}
relayInfo.UpstreamModelName = embeddingRequest.Model
modelPrice, success := common.GetModelPrice(embeddingRequest.Model, false)
groupRatio := setting.GetGroupRatio(relayInfo.Group)
var preConsumedQuota int
var ratio float64
var modelRatio float64
promptToken := getEmbeddingPromptToken(*embeddingRequest)
if !success {
preConsumedTokens := promptToken
modelRatio = common.GetModelRatio(embeddingRequest.Model)
ratio = modelRatio * groupRatio
preConsumedQuota = int(float64(preConsumedTokens) * ratio)
} else {
preConsumedQuota = int(modelPrice * common.QuotaPerUnit * groupRatio)
}
relayInfo.PromptTokens = promptToken
// pre-consume quota 预消耗配额
preConsumedQuota, userQuota, openaiErr := preConsumeQuota(c, preConsumedQuota, relayInfo)
if openaiErr != nil {
return openaiErr
}
defer func() {
if openaiErr != nil {
returnPreConsumedQuota(c, relayInfo, userQuota, preConsumedQuota)
}
}()
adaptor := GetAdaptor(relayInfo.ApiType)
if adaptor == nil {
return service.OpenAIErrorWrapperLocal(fmt.Errorf("invalid api type: %d", relayInfo.ApiType), "invalid_api_type", http.StatusBadRequest)
}
adaptor.Init(relayInfo)
convertedRequest, err := adaptor.ConvertEmbeddingRequest(c,relayInfo,*embeddingRequest)
if err != nil {
return service.OpenAIErrorWrapperLocal(err, "convert_request_failed", http.StatusInternalServerError)
}
jsonData, err := json.Marshal(convertedRequest)
if err != nil {
return service.OpenAIErrorWrapperLocal(err, "json_marshal_failed", http.StatusInternalServerError)
}
requestBody := bytes.NewBuffer(jsonData)
statusCodeMappingStr := c.GetString("status_code_mapping")
resp, err := adaptor.DoRequest(c,relayInfo, requestBody)
if err != nil {
return service.OpenAIErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
}
var httpResp *http.Response
if resp != nil {
httpResp = resp.(*http.Response)
if httpResp.StatusCode != http.StatusOK {
openaiErr = service.RelayErrorHandler(httpResp)
// reset status code 重置状态码
service.ResetStatusCode(openaiErr, statusCodeMappingStr)
return openaiErr
}
}
usage, openaiErr := adaptor.DoResponse(c, httpResp, relayInfo)
if openaiErr != nil {
// reset status code 重置状态码
service.ResetStatusCode(openaiErr, statusCodeMappingStr)
return openaiErr
}
postConsumeQuota(c, relayInfo, embeddingRequest.Model, usage.(*dto.Usage), ratio, preConsumedQuota, userQuota, modelRatio, groupRatio, modelPrice, success, "")
return nil
}