mirror of
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243 lines
8.7 KiB
Go
243 lines
8.7 KiB
Go
package relay
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import (
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"encoding/json"
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"fmt"
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"github.com/gin-gonic/gin"
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"github.com/gorilla/websocket"
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"math"
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"net/http"
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"one-api/common"
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"one-api/dto"
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"one-api/model"
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relaycommon "one-api/relay/common"
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"one-api/service"
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"strings"
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"time"
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)
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//func getAndValidateWssRequest(c *gin.Context, ws *websocket.Conn) (*dto.RealtimeEvent, error) {
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// _, p, err := ws.ReadMessage()
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// if err != nil {
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// return nil, err
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// }
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// realtimeEvent := &dto.RealtimeEvent{}
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// err = json.Unmarshal(p, realtimeEvent)
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// if err != nil {
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// return nil, err
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// }
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// // save the original request
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// if realtimeEvent.Session == nil {
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// return nil, errors.New("session object is nil")
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// }
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// c.Set("first_wss_request", p)
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// return realtimeEvent, nil
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//}
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func WssHelper(c *gin.Context, ws *websocket.Conn) *dto.OpenAIErrorWithStatusCode {
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relayInfo := relaycommon.GenRelayInfoWs(c, ws)
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// get & validate textRequest 获取并验证文本请求
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//realtimeEvent, err := getAndValidateWssRequest(c, ws)
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//if err != nil {
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// common.LogError(c, fmt.Sprintf("getAndValidateWssRequest failed: %s", err.Error()))
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// return service.OpenAIErrorWrapperLocal(err, "invalid_text_request", http.StatusBadRequest)
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//}
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// map model name
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modelMapping := c.GetString("model_mapping")
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//isModelMapped := false
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if modelMapping != "" && modelMapping != "{}" {
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modelMap := make(map[string]string)
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err := json.Unmarshal([]byte(modelMapping), &modelMap)
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if err != nil {
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return service.OpenAIErrorWrapperLocal(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
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}
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if modelMap[relayInfo.OriginModelName] != "" {
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relayInfo.UpstreamModelName = modelMap[relayInfo.OriginModelName]
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// set upstream model name
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//isModelMapped = true
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}
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}
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//relayInfo.UpstreamModelName = textRequest.Model
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modelPrice, getModelPriceSuccess := common.GetModelPrice(relayInfo.UpstreamModelName, false)
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groupRatio := common.GetGroupRatio(relayInfo.Group)
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var preConsumedQuota int
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var ratio float64
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var modelRatio float64
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//err := service.SensitiveWordsCheck(textRequest)
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//if constant.ShouldCheckPromptSensitive() {
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// err = checkRequestSensitive(textRequest, relayInfo)
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// if err != nil {
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// return service.OpenAIErrorWrapperLocal(err, "sensitive_words_detected", http.StatusBadRequest)
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// }
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//}
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//promptTokens, err := getWssPromptTokens(realtimeEvent, relayInfo)
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//// count messages token error 计算promptTokens错误
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//if err != nil {
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// return service.OpenAIErrorWrapper(err, "count_token_messages_failed", http.StatusInternalServerError)
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//}
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//
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if !getModelPriceSuccess {
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preConsumedTokens := common.PreConsumedQuota
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//if realtimeEvent.Session.MaxResponseOutputTokens != 0 {
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// preConsumedTokens = promptTokens + int(realtimeEvent.Session.MaxResponseOutputTokens)
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//}
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modelRatio = common.GetModelRatio(relayInfo.UpstreamModelName)
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ratio = modelRatio * groupRatio
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preConsumedQuota = int(float64(preConsumedTokens) * ratio)
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} else {
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preConsumedQuota = int(modelPrice * common.QuotaPerUnit * groupRatio)
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}
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// pre-consume quota 预消耗配额
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preConsumedQuota, userQuota, openaiErr := preConsumeQuota(c, preConsumedQuota, relayInfo)
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if openaiErr != nil {
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return openaiErr
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}
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adaptor := GetAdaptor(relayInfo.ApiType)
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if adaptor == nil {
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return service.OpenAIErrorWrapperLocal(fmt.Errorf("invalid api type: %d", relayInfo.ApiType), "invalid_api_type", http.StatusBadRequest)
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}
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adaptor.Init(relayInfo)
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//var requestBody io.Reader
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//firstWssRequest, _ := c.Get("first_wss_request")
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//requestBody = bytes.NewBuffer(firstWssRequest.([]byte))
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statusCodeMappingStr := c.GetString("status_code_mapping")
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resp, err := adaptor.DoRequest(c, relayInfo, nil)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
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}
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if resp != nil {
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relayInfo.TargetWs = resp.(*websocket.Conn)
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defer relayInfo.TargetWs.Close()
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}
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usage, openaiErr := adaptor.DoResponse(c, nil, relayInfo)
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if openaiErr != nil {
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returnPreConsumedQuota(c, relayInfo, userQuota, preConsumedQuota)
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// reset status code 重置状态码
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service.ResetStatusCode(openaiErr, statusCodeMappingStr)
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return openaiErr
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}
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postWssConsumeQuota(c, relayInfo, relayInfo.UpstreamModelName, usage.(*dto.RealtimeUsage), ratio, preConsumedQuota, userQuota, modelRatio, groupRatio, modelPrice, getModelPriceSuccess, "")
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return nil
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}
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func postWssConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo, modelName string,
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usage *dto.RealtimeUsage, ratio float64, preConsumedQuota int, userQuota int, modelRatio float64,
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groupRatio float64,
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modelPrice float64, usePrice bool, extraContent string) {
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useTimeSeconds := time.Now().Unix() - relayInfo.StartTime.Unix()
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textInputTokens := usage.InputTokenDetails.TextTokens
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textOutTokens := usage.OutputTokenDetails.TextTokens
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audioInputTokens := usage.InputTokenDetails.AudioTokens
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audioOutTokens := usage.OutputTokenDetails.AudioTokens
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tokenName := ctx.GetString("token_name")
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completionRatio := common.GetCompletionRatio(modelName)
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audioRatio := common.GetAudioRatio(relayInfo.UpstreamModelName)
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audioCompletionRatio := common.GetAudioCompletionRatio(modelName)
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quota := 0
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if !usePrice {
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quota = textInputTokens + int(math.Round(float64(textOutTokens)*completionRatio))
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quota += int(math.Round(float64(audioInputTokens)*audioRatio)) + int(math.Round(float64(audioOutTokens)*completionRatio*audioCompletionRatio))
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quota = int(math.Round(float64(quota) * ratio))
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if ratio != 0 && quota <= 0 {
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quota = 1
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}
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} else {
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quota = int(modelPrice * common.QuotaPerUnit * groupRatio)
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}
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totalTokens := usage.TotalTokens
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var logContent string
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if !usePrice {
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logContent = fmt.Sprintf("模型倍率 %.2f，补全倍率 %.2f，音频倍率 %.2f，音频补全倍率 %.2f，分组倍率 %.2f", modelRatio, completionRatio, audioRatio, audioCompletionRatio, groupRatio)
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} else {
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logContent = fmt.Sprintf("模型价格 %.2f，分组倍率 %.2f", modelPrice, groupRatio)
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}
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// record all the consume log even if quota is 0
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if totalTokens == 0 {
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// in this case, must be some error happened
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// we cannot just return, because we may have to return the pre-consumed quota
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quota = 0
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logContent += fmt.Sprintf("（可能是上游超时）")
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common.LogError(ctx, fmt.Sprintf("total tokens is 0, cannot consume quota, userId %d, channelId %d, "+
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"tokenId %d, model %s， pre-consumed quota %d", relayInfo.UserId, relayInfo.ChannelId, relayInfo.TokenId, modelName, preConsumedQuota))
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} else {
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//if sensitiveResp != nil {
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// logContent += fmt.Sprintf("，敏感词：%s", strings.Join(sensitiveResp.SensitiveWords, ", "))
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//}
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quotaDelta := quota - preConsumedQuota
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if quotaDelta != 0 {
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err := model.PostConsumeTokenQuota(relayInfo, userQuota, quotaDelta, preConsumedQuota, true)
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if err != nil {
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common.LogError(ctx, "error consuming token remain quota: "+err.Error())
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}
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}
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err := model.CacheUpdateUserQuota(relayInfo.UserId)
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if err != nil {
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common.LogError(ctx, "error update user quota cache: "+err.Error())
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}
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model.UpdateUserUsedQuotaAndRequestCount(relayInfo.UserId, quota)
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model.UpdateChannelUsedQuota(relayInfo.ChannelId, quota)
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}
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logModel := modelName
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if strings.HasPrefix(logModel, "gpt-4-gizmo") {
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logModel = "gpt-4-gizmo-*"
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logContent += fmt.Sprintf("，模型 %s", modelName)
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}
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if strings.HasPrefix(logModel, "gpt-4o-gizmo") {
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logModel = "gpt-4o-gizmo-*"
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logContent += fmt.Sprintf("，模型 %s", modelName)
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}
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if extraContent != "" {
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logContent += ", " + extraContent
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}
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other := service.GenerateWssOtherInfo(ctx, relayInfo, usage, modelRatio, groupRatio, completionRatio, modelPrice)
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model.RecordConsumeLog(ctx, relayInfo.UserId, relayInfo.ChannelId, usage.InputTokens, usage.OutputTokens, logModel,
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tokenName, quota, logContent, relayInfo.TokenId, userQuota, int(useTimeSeconds), relayInfo.IsStream, other)
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//if quota != 0 {
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//
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//}
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}
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func getWssPromptTokens(textRequest *dto.RealtimeEvent, info *relaycommon.RelayInfo) (int, error) {
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var promptTokens int
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var err error
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switch info.RelayMode {
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default:
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promptTokens, err = service.CountTokenRealtime(*textRequest, info.UpstreamModelName)
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}
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info.PromptTokens = promptTokens
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return promptTokens, err
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}
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//func checkWssRequestSensitive(textRequest *dto.GeneralOpenAIRequest, info *relaycommon.RelayInfo) error {
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// var err error
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// switch info.RelayMode {
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// case relayconstant.RelayModeChatCompletions:
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// err = service.CheckSensitiveMessages(textRequest.Messages)
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// case relayconstant.RelayModeCompletions:
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// err = service.CheckSensitiveInput(textRequest.Prompt)
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// case relayconstant.RelayModeModerations:
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// err = service.CheckSensitiveInput(textRequest.Input)
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// case relayconstant.RelayModeEmbeddings:
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// err = service.CheckSensitiveInput(textRequest.Input)
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// }
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// return err
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//}
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