mirror of
https://github.com/songquanpeng/one-api.git
synced 2025-09-18 01:26:37 +08:00
363 lines
12 KiB
Go
363 lines
12 KiB
Go
package controller
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import (
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"bufio"
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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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"mime/multipart"
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"net/http"
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"strings"
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"github.com/gin-gonic/gin"
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"github.com/songquanpeng/one-api/common"
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"github.com/songquanpeng/one-api/common/client"
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"github.com/songquanpeng/one-api/common/config"
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"github.com/songquanpeng/one-api/common/ctxkey"
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"github.com/songquanpeng/one-api/common/logger"
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"github.com/songquanpeng/one-api/model"
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"github.com/songquanpeng/one-api/relay/adaptor/openai"
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"github.com/songquanpeng/one-api/relay/billing"
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billingratio "github.com/songquanpeng/one-api/relay/billing/ratio"
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"github.com/songquanpeng/one-api/relay/channeltype"
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"github.com/songquanpeng/one-api/relay/meta"
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relaymodel "github.com/songquanpeng/one-api/relay/model"
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"github.com/songquanpeng/one-api/relay/relaymode"
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)
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func RelayAudioHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatusCode {
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ctx := c.Request.Context()
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meta := meta.GetByContext(c)
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audioModel := "gpt-4o-transcribe"
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tokenId := c.GetInt(ctxkey.TokenId)
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channelType := c.GetInt(ctxkey.Channel)
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channelId := c.GetInt(ctxkey.ChannelId)
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userId := c.GetInt(ctxkey.Id)
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group := c.GetString(ctxkey.Group)
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tokenName := c.GetString(ctxkey.TokenName)
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var ttsRequest openai.TextToSpeechRequest
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if relayMode == relaymode.AudioSpeech {
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// Read JSON
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err := common.UnmarshalBodyReusable(c, &ttsRequest)
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// Check if JSON is valid
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if err != nil {
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return openai.ErrorWrapper(err, "invalid_json", http.StatusBadRequest)
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}
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audioModel = ttsRequest.Model
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// Check if text is too long 4096
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if len(ttsRequest.Input) > 4096 {
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return openai.ErrorWrapper(errors.New("input is too long (over 4096 characters)"), "text_too_long", http.StatusBadRequest)
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}
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}
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modelRatio := billingratio.GetModelRatio(audioModel, channelType)
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groupRatio := billingratio.GetGroupRatio(group)
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ratio := modelRatio * groupRatio
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var quota int64
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var preConsumedQuota int64
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switch relayMode {
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case relaymode.AudioSpeech:
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preConsumedQuota = int64(float64(len(ttsRequest.Input)) * ratio)
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quota = preConsumedQuota
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default:
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preConsumedQuota = int64(float64(config.PreConsumedQuota) * ratio)
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}
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userQuota, err := model.CacheGetUserQuota(ctx, userId)
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if err != nil {
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return openai.ErrorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
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}
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// Check if user quota is enough
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if userQuota-preConsumedQuota < 0 {
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return openai.ErrorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
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}
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err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
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if err != nil {
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return openai.ErrorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
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}
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if userQuota > 100*preConsumedQuota {
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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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}
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if preConsumedQuota > 0 {
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err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
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if err != nil {
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return openai.ErrorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
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}
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}
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succeed := false
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defer func() {
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if succeed {
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return
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}
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if preConsumedQuota > 0 {
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// we need to roll back the pre-consumed quota
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defer func(ctx context.Context) {
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go func() {
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// negative means add quota back for token & user
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err := model.PostConsumeTokenQuota(tokenId, -preConsumedQuota)
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if err != nil {
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logger.Error(ctx, fmt.Sprintf("error rollback pre-consumed quota: %s", err.Error()))
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}
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}()
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}(c.Request.Context())
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}
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}()
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// map model name
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modelMapping := c.GetStringMapString(ctxkey.ModelMapping)
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if modelMapping != nil && modelMapping[audioModel] != "" {
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audioModel = modelMapping[audioModel]
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}
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baseURL := channeltype.ChannelBaseURLs[channelType]
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requestURL := c.Request.URL.String()
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if c.GetString(ctxkey.BaseURL) != "" {
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baseURL = c.GetString(ctxkey.BaseURL)
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}
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fullRequestURL := openai.GetFullRequestURL(baseURL, requestURL, channelType)
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if channelType == channeltype.Azure {
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apiVersion := meta.Config.APIVersion
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deploymentName := c.GetString(ctxkey.ChannelName)
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if relayMode == relaymode.AudioTranscription {
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// https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line#rest-api
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fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/audio/transcriptions?api-version=%s", baseURL, deploymentName, apiVersion)
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} else if relayMode == relaymode.AudioSpeech {
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// https://learn.microsoft.com/en-us/azure/ai-services/openai/text-to-speech-quickstart?tabs=command-line#rest-api
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fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/audio/speech?api-version=%s", baseURL, deploymentName, apiVersion)
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}
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}
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requestBody := &bytes.Buffer{}
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_, err = io.Copy(requestBody, c.Request.Body)
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if err != nil {
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return openai.ErrorWrapper(err, "new_request_body_failed", http.StatusInternalServerError)
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}
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// 处理表单数据
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contentType := c.Request.Header.Get("Content-Type")
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responseFormat := "json"
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var contentTypeWithBoundary string
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if strings.Contains(contentType, "multipart/form-data") {
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originalBody := requestBody.Bytes()
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c.Request.Body = io.NopCloser(bytes.NewBuffer(originalBody))
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err = c.Request.ParseMultipartForm(32 << 20) // 32MB 最大内存
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if err != nil {
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return openai.ErrorWrapper(err, "parse_multipart_form_failed", http.StatusInternalServerError)
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}
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// 获取响应格式
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if format := c.Request.FormValue("response_format"); format != "" {
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responseFormat = format
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}
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requestBody = &bytes.Buffer{}
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writer := multipart.NewWriter(requestBody)
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// 复制表单字段
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for key, values := range c.Request.MultipartForm.Value {
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for _, value := range values {
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err = writer.WriteField(key, value)
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if err != nil {
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return openai.ErrorWrapper(err, "write_field_failed", http.StatusInternalServerError)
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}
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}
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}
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// 复制文件
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for key, fileHeaders := range c.Request.MultipartForm.File {
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for _, fileHeader := range fileHeaders {
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file, err := fileHeader.Open()
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if err != nil {
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return openai.ErrorWrapper(err, "open_file_failed", http.StatusInternalServerError)
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}
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part, err := writer.CreateFormFile(key, fileHeader.Filename)
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if err != nil {
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file.Close()
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return openai.ErrorWrapper(err, "create_form_file_failed", http.StatusInternalServerError)
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}
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_, err = io.Copy(part, file)
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file.Close()
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if err != nil {
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return openai.ErrorWrapper(err, "copy_file_failed", http.StatusInternalServerError)
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}
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}
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}
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// 完成multipart写入
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err = writer.Close()
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if err != nil {
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return openai.ErrorWrapper(err, "close_writer_failed", http.StatusInternalServerError)
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}
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// 更新Content-Type
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contentTypeWithBoundary = writer.FormDataContentType()
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c.Request.Header.Set("Content-Type", contentTypeWithBoundary)
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} else {
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// 对于非表单请求，直接重置请求体
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c.Request.Body = io.NopCloser(bytes.NewBuffer(requestBody.Bytes()))
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}
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req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
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if err != nil {
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return openai.ErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
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}
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if (relayMode == relaymode.AudioTranscription || relayMode == relaymode.AudioSpeech) && channelType == channeltype.Azure {
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// https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line#rest-api
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apiKey := c.Request.Header.Get("Authorization")
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apiKey = strings.TrimPrefix(apiKey, "Bearer ")
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req.Header.Set("api-key", apiKey)
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// 确保请求体大小与Content-Length一致
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req.ContentLength = int64(requestBody.Len())
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} else {
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req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
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// 确保请求体大小与Content-Length一致
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req.ContentLength = int64(requestBody.Len())
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}
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// 确保Content-Type正确传递
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if strings.Contains(contentType, "multipart/form-data") && c.Request.MultipartForm != nil {
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// 对于multipart请求，使用我们重建时生成的Content-Type
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// 注意：此处必须使用writer生成的boundary
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if contentTypeWithBoundary != "" {
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req.Header.Set("Content-Type", contentTypeWithBoundary)
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} else {
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req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
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}
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} else {
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req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
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}
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req.Header.Set("Accept", c.Request.Header.Get("Accept"))
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resp, err := client.HTTPClient.Do(req)
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if err != nil {
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return openai.ErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
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}
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err = req.Body.Close()
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if err != nil {
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return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
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}
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err = c.Request.Body.Close()
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if err != nil {
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return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
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}
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if relayMode != relaymode.AudioSpeech {
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responseBody, err := io.ReadAll(resp.Body)
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if err != nil {
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return openai.ErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
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}
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err = resp.Body.Close()
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if err != nil {
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return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
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}
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var openAIErr openai.SlimTextResponse
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if err = json.Unmarshal(responseBody, &openAIErr); err == nil {
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if openAIErr.Error.Message != "" {
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return openai.ErrorWrapper(fmt.Errorf("type %s, code %v, message %s", openAIErr.Error.Type, openAIErr.Error.Code, openAIErr.Error.Message), "request_error", http.StatusInternalServerError)
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}
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}
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var text string
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switch responseFormat {
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case "json":
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text, err = getTextFromJSON(responseBody)
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case "text":
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text, err = getTextFromText(responseBody)
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case "srt":
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text, err = getTextFromSRT(responseBody)
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case "verbose_json":
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text, err = getTextFromVerboseJSON(responseBody)
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case "vtt":
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text, err = getTextFromVTT(responseBody)
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default:
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return openai.ErrorWrapper(errors.New("unexpected_response_format"), "unexpected_response_format", http.StatusInternalServerError)
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}
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if err != nil {
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return openai.ErrorWrapper(err, "get_text_from_body_err", http.StatusInternalServerError)
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}
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quota = int64(openai.CountTokenText(text, audioModel))
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resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
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}
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if resp.StatusCode != http.StatusOK {
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return RelayErrorHandler(resp)
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}
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succeed = true
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quotaDelta := quota - preConsumedQuota
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defer func(ctx context.Context) {
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go billing.PostConsumeQuota(ctx, tokenId, quotaDelta, quota, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
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}(c.Request.Context())
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for k, v := range resp.Header {
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c.Writer.Header().Set(k, v[0])
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}
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c.Writer.WriteHeader(resp.StatusCode)
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_, err = io.Copy(c.Writer, resp.Body)
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if err != nil {
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return openai.ErrorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
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}
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err = resp.Body.Close()
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if err != nil {
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return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
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}
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return nil
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}
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func getTextFromVTT(body []byte) (string, error) {
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return getTextFromSRT(body)
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}
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func getTextFromVerboseJSON(body []byte) (string, error) {
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var whisperResponse openai.WhisperVerboseJSONResponse
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if err := json.Unmarshal(body, &whisperResponse); err != nil {
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return "", fmt.Errorf("unmarshal_response_body_failed err :%w", err)
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}
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return whisperResponse.Text, nil
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}
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func getTextFromSRT(body []byte) (string, error) {
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scanner := bufio.NewScanner(strings.NewReader(string(body)))
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var builder strings.Builder
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var textLine bool
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for scanner.Scan() {
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line := scanner.Text()
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if textLine {
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builder.WriteString(line)
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textLine = false
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continue
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} else if strings.Contains(line, "-->") {
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textLine = true
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continue
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}
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}
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if err := scanner.Err(); err != nil {
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return "", err
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}
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return builder.String(), nil
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}
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func getTextFromText(body []byte) (string, error) {
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return strings.TrimSuffix(string(body), "\n"), nil
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}
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func getTextFromJSON(body []byte) (string, error) {
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var whisperResponse openai.WhisperJSONResponse
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if err := json.Unmarshal(body, &whisperResponse); err != nil {
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return "", fmt.Errorf("unmarshal_response_body_failed err :%w", err)
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}
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return whisperResponse.Text, nil
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}
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