mirror of
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248 lines
8.7 KiB
Go
248 lines
8.7 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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"github.com/gin-gonic/gin"
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"io"
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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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)
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func RelayImageHelper(c *gin.Context, relayMode int) *dto.OpenAIErrorWithStatusCode {
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tokenId := c.GetInt("token_id")
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channelType := c.GetInt("channel")
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channelId := c.GetInt("channel_id")
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userId := c.GetInt("id")
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group := c.GetString("group")
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startTime := time.Now()
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var imageRequest dto.ImageRequest
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err := common.UnmarshalBodyReusable(c, &imageRequest)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
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}
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if imageRequest.Model == "" {
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imageRequest.Model = "dall-e-3"
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}
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if imageRequest.Size == "" {
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imageRequest.Size = "1024x1024"
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}
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if imageRequest.N == 0 {
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imageRequest.N = 1
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}
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// Prompt validation
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if imageRequest.Prompt == "" {
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return service.OpenAIErrorWrapper(errors.New("prompt is required"), "required_field_missing", http.StatusBadRequest)
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}
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if constant.ShouldCheckPromptSensitive() {
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err = service.CheckSensitiveInput(imageRequest.Prompt)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "sensitive_words_detected", http.StatusBadRequest)
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}
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}
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if strings.Contains(imageRequest.Size, "×") {
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return service.OpenAIErrorWrapper(errors.New("size an unexpected error occurred in the parameter, please use 'x' instead of the multiplication sign '×'"), "invalid_field_value", http.StatusBadRequest)
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}
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// Not "256x256", "512x512", or "1024x1024"
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if imageRequest.Model == "dall-e-2" || imageRequest.Model == "dall-e" {
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if imageRequest.Size != "" && imageRequest.Size != "256x256" && imageRequest.Size != "512x512" && imageRequest.Size != "1024x1024" {
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return service.OpenAIErrorWrapper(errors.New("size must be one of 256x256, 512x512, or 1024x1024, dall-e-3 1024x1792 or 1792x1024"), "invalid_field_value", http.StatusBadRequest)
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}
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} else if imageRequest.Model == "dall-e-3" {
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if imageRequest.Size != "" && imageRequest.Size != "1024x1024" && imageRequest.Size != "1024x1792" && imageRequest.Size != "1792x1024" {
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return service.OpenAIErrorWrapper(errors.New("size must be one of 256x256, 512x512, or 1024x1024, dall-e-3 1024x1792 or 1792x1024"), "invalid_field_value", http.StatusBadRequest)
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}
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if imageRequest.N != 1 {
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return service.OpenAIErrorWrapper(errors.New("n must be 1"), "invalid_field_value", http.StatusBadRequest)
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}
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}
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// N should between 1 and 10
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if imageRequest.N != 0 && (imageRequest.N < 1 || imageRequest.N > 10) {
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return service.OpenAIErrorWrapper(errors.New("n must be between 1 and 10"), "invalid_field_value", 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 != "" {
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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.OpenAIErrorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
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}
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if modelMap[imageRequest.Model] != "" {
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imageRequest.Model = modelMap[imageRequest.Model]
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isModelMapped = true
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}
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}
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baseURL := common.ChannelBaseURLs[channelType]
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requestURL := c.Request.URL.String()
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if c.GetString("base_url") != "" {
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baseURL = c.GetString("base_url")
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}
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fullRequestURL := relaycommon.GetFullRequestURL(baseURL, requestURL, channelType)
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if channelType == common.ChannelTypeAzure && relayMode == relayconstant.RelayModeImagesGenerations {
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// https://learn.microsoft.com/en-us/azure/ai-services/openai/dall-e-quickstart?tabs=dalle3%2Ccommand-line&pivots=rest-api
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apiVersion := relaycommon.GetAPIVersion(c)
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// https://{resource_name}.openai.azure.com/openai/deployments/dall-e-3/images/generations?api-version=2023-06-01-preview
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fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/images/generations?api-version=%s", baseURL, imageRequest.Model, apiVersion)
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}
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var requestBody io.Reader
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if isModelMapped || channelType == common.ChannelTypeAzure { // make Azure channel request body
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jsonStr, err := json.Marshal(imageRequest)
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if err != nil {
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return service.OpenAIErrorWrapper(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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modelPrice, success := common.GetModelPrice(imageRequest.Model, true)
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if !success {
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modelRatio := common.GetModelRatio(imageRequest.Model)
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// modelRatio 16 = modelPrice $0.04
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// per 1 modelRatio = $0.04 / 16
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modelPrice = 0.0025 * modelRatio
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}
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groupRatio := common.GetGroupRatio(group)
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userQuota, err := model.CacheGetUserQuota(userId)
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sizeRatio := 1.0
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// Size
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if imageRequest.Size == "256x256" {
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sizeRatio = 0.4
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} else if imageRequest.Size == "512x512" {
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sizeRatio = 0.45
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} else if imageRequest.Size == "1024x1024" {
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sizeRatio = 1
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} else if imageRequest.Size == "1024x1792" || imageRequest.Size == "1792x1024" {
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sizeRatio = 2
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}
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qualityRatio := 1.0
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if imageRequest.Model == "dall-e-3" && imageRequest.Quality == "hd" {
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qualityRatio = 2.0
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if imageRequest.Size == "1024x1792" || imageRequest.Size == "1792x1024" {
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qualityRatio = 1.5
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}
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}
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quota := int(modelPrice*groupRatio*common.QuotaPerUnit*sizeRatio*qualityRatio) * imageRequest.N
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if userQuota-quota < 0 {
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return service.OpenAIErrorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
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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 service.OpenAIErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
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}
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token := c.Request.Header.Get("Authorization")
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if channelType == common.ChannelTypeAzure { // Azure authentication
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token = strings.TrimPrefix(token, "Bearer ")
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req.Header.Set("api-key", token)
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} else {
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req.Header.Set("Authorization", token)
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}
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req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
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req.Header.Set("Accept", c.Request.Header.Get("Accept"))
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resp, err := service.GetHttpClient().Do(req)
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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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err = req.Body.Close()
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if err != nil {
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return service.OpenAIErrorWrapper(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 service.OpenAIErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
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}
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if resp.StatusCode != http.StatusOK {
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return relaycommon.RelayErrorHandler(resp)
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}
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var textResponse dto.ImageResponse
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defer func(ctx context.Context) {
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useTimeSeconds := time.Now().Unix() - startTime.Unix()
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if resp.StatusCode != http.StatusOK {
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return
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}
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err := model.PostConsumeTokenQuota(tokenId, userQuota, quota, 0, true)
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if err != nil {
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common.SysError("error consuming token remain quota: " + err.Error())
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}
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err = model.CacheUpdateUserQuota(userId)
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if err != nil {
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common.SysError("error update user quota cache: " + err.Error())
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}
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if quota != 0 {
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tokenName := c.GetString("token_name")
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quality := "normal"
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if imageRequest.Quality == "hd" {
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quality = "hd"
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}
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logContent := fmt.Sprintf("模型价格 %.2f，分组倍率 %.2f, 大小 %s, 品质 %s", modelPrice, groupRatio, imageRequest.Size, quality)
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other := make(map[string]interface{})
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other["model_price"] = modelPrice
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other["group_ratio"] = groupRatio
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model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageRequest.Model, tokenName, quota, logContent, tokenId, userQuota, int(useTimeSeconds), false, other)
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model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
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channelId := c.GetInt("channel_id")
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model.UpdateChannelUsedQuota(channelId, quota)
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}
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}(c.Request.Context())
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responseBody, err := io.ReadAll(resp.Body)
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if err != nil {
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return service.OpenAIErrorWrapper(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 service.OpenAIErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
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}
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err = json.Unmarshal(responseBody, &textResponse)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
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}
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resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
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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 service.OpenAIErrorWrapper(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 service.OpenAIErrorWrapper(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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