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344 lines
12 KiB
Go
344 lines
12 KiB
Go
package relay
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import (
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"bytes"
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"context"
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"encoding/json"
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"errors"
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"fmt"
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"io"
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"math"
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"net/http"
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"one-api/common"
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"one-api/constant"
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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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relayconstant "one-api/relay/constant"
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"one-api/service"
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"strings"
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"time"
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"github.com/gin-gonic/gin"
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)
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func getAndValidateTextRequest(c *gin.Context, relayInfo *relaycommon.RelayInfo) (*dto.GeneralOpenAIRequest, error) {
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textRequest := &dto.GeneralOpenAIRequest{}
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err := common.UnmarshalBodyReusable(c, textRequest)
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if err != nil {
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return nil, err
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}
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if relayInfo.RelayMode == relayconstant.RelayModeModerations && textRequest.Model == "" {
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textRequest.Model = "text-moderation-latest"
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}
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if relayInfo.RelayMode == relayconstant.RelayModeEmbeddings && textRequest.Model == "" {
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textRequest.Model = c.Param("model")
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}
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if textRequest.MaxTokens < 0 || textRequest.MaxTokens > math.MaxInt32/2 {
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return nil, errors.New("max_tokens is invalid")
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}
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if textRequest.Model == "" {
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return nil, errors.New("model is required")
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}
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switch relayInfo.RelayMode {
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case relayconstant.RelayModeCompletions:
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if textRequest.Prompt == "" {
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return nil, errors.New("field prompt is required")
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}
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case relayconstant.RelayModeChatCompletions:
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if textRequest.Messages == nil || len(textRequest.Messages) == 0 {
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return nil, errors.New("field messages is required")
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}
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case relayconstant.RelayModeEmbeddings:
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case relayconstant.RelayModeModerations:
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if textRequest.Input == "" {
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return nil, errors.New("field input is required")
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}
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case relayconstant.RelayModeEdits:
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if textRequest.Instruction == "" {
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return nil, errors.New("field instruction is required")
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}
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}
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relayInfo.IsStream = textRequest.Stream
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return textRequest, nil
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}
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func TextHelper(c *gin.Context) *dto.OpenAIErrorWithStatusCode {
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relayInfo := relaycommon.GenRelayInfo(c)
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// get & validate textRequest 获取并验证文本请求
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textRequest, err := getAndValidateTextRequest(c, relayInfo)
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if err != nil {
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common.LogError(c, fmt.Sprintf("getAndValidateTextRequest 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[textRequest.Model] != "" {
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textRequest.Model = modelMap[textRequest.Model]
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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, success := common.GetModelPrice(textRequest.Model, 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 := getPromptTokens(textRequest, 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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if !success {
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preConsumedTokens := common.PreConsumedQuota
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if textRequest.MaxTokens != 0 {
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preConsumedTokens = promptTokens + int(textRequest.MaxTokens)
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}
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modelRatio = common.GetModelRatio(textRequest.Model)
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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, *textRequest)
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var requestBody io.Reader
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if relayInfo.ApiType == relayconstant.APITypeOpenAI {
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if isModelMapped {
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jsonStr, err := json.Marshal(textRequest)
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if err != nil {
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return service.OpenAIErrorWrapperLocal(err, "marshal_text_request_failed", http.StatusInternalServerError)
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}
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requestBody = bytes.NewBuffer(jsonStr)
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} else {
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requestBody = c.Request.Body
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}
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} else {
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convertedRequest, err := adaptor.ConvertRequest(c, relayInfo.RelayMode, textRequest)
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if err != nil {
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return service.OpenAIErrorWrapperLocal(err, "convert_request_failed", http.StatusInternalServerError)
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}
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jsonData, err := json.Marshal(convertedRequest)
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if err != nil {
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return service.OpenAIErrorWrapperLocal(err, "json_marshal_failed", http.StatusInternalServerError)
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}
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requestBody = bytes.NewBuffer(jsonData)
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}
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statusCodeMappingStr := c.GetString("status_code_mapping")
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resp, err := adaptor.DoRequest(c, relayInfo, requestBody)
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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.IsStream = relayInfo.IsStream || strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
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if resp.StatusCode != http.StatusOK {
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returnPreConsumedQuota(c, relayInfo.TokenId, userQuota, preConsumedQuota)
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openaiErr := service.RelayErrorHandler(resp)
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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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}
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usage, openaiErr := adaptor.DoResponse(c, resp, relayInfo)
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if openaiErr != nil {
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returnPreConsumedQuota(c, relayInfo.TokenId, 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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postConsumeQuota(c, relayInfo, textRequest.Model, usage, ratio, preConsumedQuota, userQuota, modelRatio, groupRatio, modelPrice, success)
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return nil
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}
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func getPromptTokens(textRequest *dto.GeneralOpenAIRequest, 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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case relayconstant.RelayModeChatCompletions:
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promptTokens, err = service.CountTokenChatRequest(*textRequest, textRequest.Model)
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case relayconstant.RelayModeCompletions:
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promptTokens, err = service.CountTokenInput(textRequest.Prompt, textRequest.Model)
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case relayconstant.RelayModeModerations:
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promptTokens, err = service.CountTokenInput(textRequest.Input, textRequest.Model)
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case relayconstant.RelayModeEmbeddings:
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promptTokens, err = service.CountTokenInput(textRequest.Input, textRequest.Model)
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default:
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err = errors.New("unknown relay mode")
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promptTokens = 0
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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 checkRequestSensitive(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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// 预扣费并返回用户剩余配额
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func preConsumeQuota(c *gin.Context, preConsumedQuota int, relayInfo *relaycommon.RelayInfo) (int, int, *dto.OpenAIErrorWithStatusCode) {
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userQuota, err := model.CacheGetUserQuota(relayInfo.UserId)
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if err != nil {
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return 0, 0, service.OpenAIErrorWrapperLocal(err, "get_user_quota_failed", http.StatusInternalServerError)
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}
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if userQuota <= 0 || userQuota-preConsumedQuota < 0 {
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return 0, 0, service.OpenAIErrorWrapperLocal(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
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}
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err = model.CacheDecreaseUserQuota(relayInfo.UserId, preConsumedQuota)
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if err != nil {
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return 0, 0, service.OpenAIErrorWrapperLocal(err, "decrease_user_quota_failed", http.StatusInternalServerError)
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}
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if userQuota > 100*preConsumedQuota {
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// 用户额度充足，判断令牌额度是否充足
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if !relayInfo.TokenUnlimited {
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// 非无限令牌，判断令牌额度是否充足
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tokenQuota := c.GetInt("token_quota")
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if tokenQuota > 100*preConsumedQuota {
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// 令牌额度充足，信任令牌
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preConsumedQuota = 0
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common.LogInfo(c.Request.Context(), 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))
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}
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} else {
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// in this case, we do not pre-consume quota
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// because the user has enough quota
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preConsumedQuota = 0
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common.LogInfo(c.Request.Context(), fmt.Sprintf("user %d with unlimited token has enough quota %d, trusted and no need to pre-consume", relayInfo.UserId, userQuota))
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}
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}
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if preConsumedQuota > 0 {
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userQuota, err = model.PreConsumeTokenQuota(relayInfo.TokenId, preConsumedQuota)
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if err != nil {
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return 0, 0, service.OpenAIErrorWrapperLocal(err, "pre_consume_token_quota_failed", http.StatusForbidden)
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}
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}
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return preConsumedQuota, userQuota, nil
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}
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func returnPreConsumedQuota(c *gin.Context, tokenId int, userQuota int, preConsumedQuota int) {
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if preConsumedQuota != 0 {
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go func(ctx context.Context) {
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// return pre-consumed quota
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err := model.PostConsumeTokenQuota(tokenId, userQuota, -preConsumedQuota, 0, false)
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if err != nil {
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common.SysError("error return pre-consumed quota: " + err.Error())
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}
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}(c)
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}
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}
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func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo, modelName string,
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usage *dto.Usage, ratio float64, preConsumedQuota int, userQuota int, modelRatio float64, groupRatio float64,
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modelPrice float64, usePrice bool) {
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useTimeSeconds := time.Now().Unix() - relayInfo.StartTime.Unix()
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promptTokens := usage.PromptTokens
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completionTokens := usage.CompletionTokens
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tokenName := ctx.GetString("token_name")
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completionRatio := common.GetCompletionRatio(modelName)
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quota := 0
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if !usePrice {
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quota = promptTokens + int(math.Round(float64(completionTokens)*completionRatio))
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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 := promptTokens + completionTokens
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var logContent string
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if modelPrice == -1 {
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logContent = fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f，补全倍率 %.2f", modelRatio, groupRatio, completionRatio)
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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.TokenId, 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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other := service.GenerateTextOtherInfo(ctx, relayInfo, modelRatio, groupRatio, completionRatio, modelPrice)
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model.RecordConsumeLog(ctx, relayInfo.UserId, relayInfo.ChannelId, promptTokens, completionTokens, 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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