new-api/relay/relay-text.go

package relay

import (
	"bytes"
	"encoding/json"
	"errors"
	"fmt"
	"io"
	"math"
	"net/http"
	"one-api/common"
	"one-api/constant"
	"one-api/dto"
	"one-api/model"
	relaycommon "one-api/relay/common"
	relayconstant "one-api/relay/constant"
	"one-api/service"
	"one-api/setting"
	"strings"
	"time"

	"github.com/gin-gonic/gin"
)

func getAndValidateTextRequest(c *gin.Context, relayInfo *relaycommon.RelayInfo) (*dto.GeneralOpenAIRequest, error) {
	textRequest := &dto.GeneralOpenAIRequest{}
	err := common.UnmarshalBodyReusable(c, textRequest)
	if err != nil {
		return nil, err
	}
	if relayInfo.RelayMode == relayconstant.RelayModeModerations && textRequest.Model == "" {
		textRequest.Model = "text-moderation-latest"
	}
	if relayInfo.RelayMode == relayconstant.RelayModeEmbeddings && textRequest.Model == "" {
		textRequest.Model = c.Param("model")
	}

	if textRequest.MaxTokens > math.MaxInt32/2 {
		return nil, errors.New("max_tokens is invalid")
	}
	if textRequest.Model == "" {
		return nil, errors.New("model is required")
	}
	switch relayInfo.RelayMode {
	case relayconstant.RelayModeCompletions:
		if textRequest.Prompt == "" {
			return nil, errors.New("field prompt is required")
		}
	case relayconstant.RelayModeChatCompletions:
		if len(textRequest.Messages) == 0 {
			return nil, errors.New("field messages is required")
		}
	case relayconstant.RelayModeEmbeddings:
	case relayconstant.RelayModeModerations:
		if textRequest.Input == nil || textRequest.Input == "" {
			return nil, errors.New("field input is required")
		}
	case relayconstant.RelayModeEdits:
		if textRequest.Instruction == "" {
			return nil, errors.New("field instruction is required")
		}
	}
	relayInfo.IsStream = textRequest.Stream
	return textRequest, nil
}

func TextHelper(c *gin.Context) (openaiErr *dto.OpenAIErrorWithStatusCode) {

	relayInfo := relaycommon.GenRelayInfo(c)

	// get & validate textRequest 获取并验证文本请求
	textRequest, err := getAndValidateTextRequest(c, relayInfo)
	if err != nil {
		common.LogError(c, fmt.Sprintf("getAndValidateTextRequest failed: %s", err.Error()))
		return service.OpenAIErrorWrapperLocal(err, "invalid_text_request", http.StatusBadRequest)
	}

	// map model name
	//isModelMapped := false
	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[textRequest.Model] != "" {
			//isModelMapped = true
			textRequest.Model = modelMap[textRequest.Model]
			// set upstream model name
			//isModelMapped = true
		}
	}
	relayInfo.UpstreamModelName = textRequest.Model
	modelPrice, getModelPriceSuccess := common.GetModelPrice(textRequest.Model, false)
	groupRatio := setting.GetGroupRatio(relayInfo.Group)

	var preConsumedQuota int
	var ratio float64
	var modelRatio float64
	//err := service.SensitiveWordsCheck(textRequest)

	if setting.ShouldCheckPromptSensitive() {
		err = checkRequestSensitive(textRequest, relayInfo)
		if err != nil {
			return service.OpenAIErrorWrapperLocal(err, "sensitive_words_detected", http.StatusBadRequest)
		}
	}

	// 获取 promptTokens，如果上下文中已经存在，则直接使用
	var promptTokens int
	if value, exists := c.Get("prompt_tokens"); exists {
		promptTokens = value.(int)
	} else {
		promptTokens, err = getPromptTokens(textRequest, relayInfo)
		// count messages token error 计算promptTokens错误
		if err != nil {
			return service.OpenAIErrorWrapper(err, "count_token_messages_failed", http.StatusInternalServerError)
		}
		c.Set("prompt_tokens", promptTokens)
	}

	if !getModelPriceSuccess {
		preConsumedTokens := common.PreConsumedQuota
		if textRequest.MaxTokens != 0 {
			preConsumedTokens = promptTokens + int(textRequest.MaxTokens)
		}
		modelRatio = common.GetModelRatio(textRequest.Model)
		ratio = modelRatio * groupRatio
		preConsumedQuota = int(float64(preConsumedTokens) * ratio)
	} else {
		preConsumedQuota = int(modelPrice * common.QuotaPerUnit * groupRatio)
	}

	// 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)
		}
	}()
	includeUsage := false
	// 判断用户是否需要返回使用情况
	if textRequest.StreamOptions != nil && textRequest.StreamOptions.IncludeUsage {
		includeUsage = true
	}

	// 如果不支持StreamOptions，将StreamOptions设置为nil
	if !relayInfo.SupportStreamOptions || !textRequest.Stream {
		textRequest.StreamOptions = nil
	} else {
		// 如果支持StreamOptions，且请求中没有设置StreamOptions，根据配置文件设置StreamOptions
		if constant.ForceStreamOption {
			textRequest.StreamOptions = &dto.StreamOptions{
				IncludeUsage: true,
			}
		}
	}

	if includeUsage {
		relayInfo.ShouldIncludeUsage = true
	}

	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)
	var requestBody io.Reader

	//if relayInfo.ChannelType == common.ChannelTypeOpenAI && !isModelMapped {
	//	body, err := common.GetRequestBody(c)
	//	if err != nil {
	//		return service.OpenAIErrorWrapperLocal(err, "get_request_body_failed", http.StatusInternalServerError)
	//	}
	//	requestBody = bytes.NewBuffer(body)
	//} else {
	//
	//}

	convertedRequest, err := adaptor.ConvertRequest(c, relayInfo, textRequest)
	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")
	var httpResp *http.Response
	resp, err := adaptor.DoRequest(c, relayInfo, requestBody)
	if err != nil {
		return service.OpenAIErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
	}

	if resp != nil {
		httpResp = resp.(*http.Response)
		relayInfo.IsStream = relayInfo.IsStream || strings.HasPrefix(httpResp.Header.Get("Content-Type"), "text/event-stream")
		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
	}

	if strings.HasPrefix(relayInfo.UpstreamModelName, "gpt-4o-audio") {
		service.PostAudioConsumeQuota(c, relayInfo, usage.(*dto.Usage), ratio, preConsumedQuota, userQuota, modelRatio, groupRatio, modelPrice, getModelPriceSuccess, "")
	} else {
		postConsumeQuota(c, relayInfo, textRequest.Model, usage.(*dto.Usage), ratio, preConsumedQuota, userQuota, modelRatio, groupRatio, modelPrice, getModelPriceSuccess, "")
	}
	return nil
}

func getPromptTokens(textRequest *dto.GeneralOpenAIRequest, info *relaycommon.RelayInfo) (int, error) {
	var promptTokens int
	var err error
	switch info.RelayMode {
	case relayconstant.RelayModeChatCompletions:
		promptTokens, err = service.CountTokenChatRequest(info, *textRequest)
	case relayconstant.RelayModeCompletions:
		promptTokens, err = service.CountTokenInput(textRequest.Prompt, textRequest.Model)
	case relayconstant.RelayModeModerations:
		promptTokens, err = service.CountTokenInput(textRequest.Input, textRequest.Model)
	case relayconstant.RelayModeEmbeddings:
		promptTokens, err = service.CountTokenInput(textRequest.Input, textRequest.Model)
	default:
		err = errors.New("unknown relay mode")
		promptTokens = 0
	}
	info.PromptTokens = promptTokens
	return promptTokens, err
}

func checkRequestSensitive(textRequest *dto.GeneralOpenAIRequest, info *relaycommon.RelayInfo) error {
	var err error
	switch info.RelayMode {
	case relayconstant.RelayModeChatCompletions:
		err = service.CheckSensitiveMessages(textRequest.Messages)
	case relayconstant.RelayModeCompletions:
		err = service.CheckSensitiveInput(textRequest.Prompt)
	case relayconstant.RelayModeModerations:
		err = service.CheckSensitiveInput(textRequest.Input)
	case relayconstant.RelayModeEmbeddings:
		err = service.CheckSensitiveInput(textRequest.Input)
	}
	return err
}

// 预扣费并返回用户剩余配额
func preConsumeQuota(c *gin.Context, preConsumedQuota int, relayInfo *relaycommon.RelayInfo) (int, int, *dto.OpenAIErrorWithStatusCode) {
	userQuota, err := model.CacheGetUserQuota(relayInfo.UserId)
	if err != nil {
		return 0, 0, service.OpenAIErrorWrapperLocal(err, "get_user_quota_failed", http.StatusInternalServerError)
	}
	if userQuota <= 0 {
		return 0, 0, service.OpenAIErrorWrapperLocal(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
	}
	if userQuota-preConsumedQuota < 0 {
		return 0, 0, service.OpenAIErrorWrapperLocal(fmt.Errorf("chat pre-consumed quota failed, user quota: %d, need quota: %d", userQuota, preConsumedQuota), "insufficient_user_quota", http.StatusBadRequest)
	}
	err = model.CacheDecreaseUserQuota(relayInfo.UserId, preConsumedQuota)
	if err != nil {
		return 0, 0, service.OpenAIErrorWrapperLocal(err, "decrease_user_quota_failed", http.StatusInternalServerError)
	}
	if userQuota > 100*preConsumedQuota {
		// 用户额度充足，判断令牌额度是否充足
		if !relayInfo.TokenUnlimited {
			// 非无限令牌，判断令牌额度是否充足
			tokenQuota := c.GetInt("token_quota")
			if tokenQuota > 100*preConsumedQuota {
				// 令牌额度充足，信任令牌
				preConsumedQuota = 0
				common.LogInfo(c, fmt.Sprintf("user %d quota %d and token %d quota %d are enough, trusted and no need to pre-consume", relayInfo.UserId, userQuota, relayInfo.TokenId, tokenQuota))
			}
		} else {
			// in this case, we do not pre-consume quota
			// because the user has enough quota
			preConsumedQuota = 0
			common.LogInfo(c, fmt.Sprintf("user %d with unlimited token has enough quota %d, trusted and no need to pre-consume", relayInfo.UserId, userQuota))
		}
	}
	if preConsumedQuota > 0 {
		userQuota, err = model.PreConsumeTokenQuota(relayInfo, preConsumedQuota)
		if err != nil {
			return 0, 0, service.OpenAIErrorWrapperLocal(err, "pre_consume_token_quota_failed", http.StatusForbidden)
		}
	}
	return preConsumedQuota, userQuota, nil
}

func returnPreConsumedQuota(c *gin.Context, relayInfo *relaycommon.RelayInfo, userQuota int, preConsumedQuota int) {
	if preConsumedQuota != 0 {
		go func() {
			relayInfoCopy := *relayInfo

			err := model.PostConsumeTokenQuota(&relayInfoCopy, userQuota, -preConsumedQuota, 0, false)
			if err != nil {
				common.SysError("error return pre-consumed quota: " + err.Error())
			}
		}()
	}
}

func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo, modelName string,
	usage *dto.Usage, ratio float64, preConsumedQuota int, userQuota int, modelRatio float64, groupRatio float64,
	modelPrice float64, usePrice bool, extraContent string) {
	if usage == nil {
		usage = &dto.Usage{
			PromptTokens:     relayInfo.PromptTokens,
			CompletionTokens: 0,
			TotalTokens:      relayInfo.PromptTokens,
		}
		extraContent += "  ，（可能是请求出错）"
	}
	useTimeSeconds := time.Now().Unix() - relayInfo.StartTime.Unix()
	promptTokens := usage.PromptTokens
	completionTokens := usage.CompletionTokens

	tokenName := ctx.GetString("token_name")
	completionRatio := common.GetCompletionRatio(modelName)

	quota := 0
	if !usePrice {
		quota = promptTokens + int(math.Round(float64(completionTokens)*completionRatio))
		quota = int(math.Round(float64(quota) * ratio))
		if ratio != 0 && quota <= 0 {
			quota = 1
		}
	} else {
		quota = int(modelPrice * common.QuotaPerUnit * groupRatio)
	}
	totalTokens := promptTokens + completionTokens
	var logContent string
	if !usePrice {
		logContent = fmt.Sprintf("模型倍率 %.2f，补全倍率 %.2f，分组倍率 %.2f", modelRatio, completionRatio, groupRatio)
	} else {
		logContent = fmt.Sprintf("模型价格 %.2f，分组倍率 %.2f", modelPrice, groupRatio)
	}

	// record all the consume log even if quota is 0
	if totalTokens == 0 {
		// in this case, must be some error happened
		// we cannot just return, because we may have to return the pre-consumed quota
		quota = 0
		logContent += fmt.Sprintf("（可能是上游超时）")
		common.LogError(ctx, fmt.Sprintf("total tokens is 0, cannot consume quota, userId %d, channelId %d, "+
			"tokenId %d, model %s， pre-consumed quota %d", relayInfo.UserId, relayInfo.ChannelId, relayInfo.TokenId, modelName, preConsumedQuota))
	} else {
		//if sensitiveResp != nil {
		//	logContent += fmt.Sprintf("，敏感词：%s", strings.Join(sensitiveResp.SensitiveWords, ", "))
		//}
		quotaDelta := quota - preConsumedQuota
		if quotaDelta != 0 {
			err := model.PostConsumeTokenQuota(relayInfo, userQuota, quotaDelta, preConsumedQuota, true)
			if err != nil {
				common.LogError(ctx, "error consuming token remain quota: "+err.Error())
			}
		}
		err := model.CacheUpdateUserQuota(relayInfo.UserId)
		if err != nil {
			common.LogError(ctx, "error update user quota cache: "+err.Error())
		}
		model.UpdateUserUsedQuotaAndRequestCount(relayInfo.UserId, quota)
		model.UpdateChannelUsedQuota(relayInfo.ChannelId, quota)
	}

	logModel := modelName
	if strings.HasPrefix(logModel, "gpt-4-gizmo") {
		logModel = "gpt-4-gizmo-*"
		logContent += fmt.Sprintf("，模型 %s", modelName)
	}
	if strings.HasPrefix(logModel, "gpt-4o-gizmo") {
		logModel = "gpt-4o-gizmo-*"
		logContent += fmt.Sprintf("，模型 %s", modelName)
	}
	if extraContent != "" {
		logContent += ", " + extraContent
	}
	other := service.GenerateTextOtherInfo(ctx, relayInfo, modelRatio, groupRatio, completionRatio, modelPrice)
	model.RecordConsumeLog(ctx, relayInfo.UserId, relayInfo.ChannelId, promptTokens, completionTokens, logModel,
		tokenName, quota, logContent, relayInfo.TokenId, userQuota, int(useTimeSeconds), relayInfo.IsStream, relayInfo.Group, other)

	//if quota != 0 {
	//
	//}
}