mirror of
https://github.com/songquanpeng/one-api.git
synced 2025-12-22 02:12:13 +08:00
refactor: refactor relay part (#935)
This commit is contained in:
JustSong
224
relay/controller/image.go
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224
relay/controller/image.go
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@@ -0,0 +1,224 @@
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package controller
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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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"net/http"
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"one-api/common"
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"one-api/model"
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"one-api/relay/channel/openai"
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"one-api/relay/util"
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"strings"
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"github.com/gin-gonic/gin"
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)
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func isWithinRange(element string, value int) bool {
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if _, ok := common.DalleGenerationImageAmounts[element]; !ok {
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return false
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}
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min := common.DalleGenerationImageAmounts[element][0]
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max := common.DalleGenerationImageAmounts[element][1]
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return value >= min && value <= max
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}
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func RelayImageHelper(c *gin.Context, relayMode int) *openai.ErrorWithStatusCode {
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imageModel := "dall-e-2"
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imageSize := "1024x1024"
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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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var imageRequest openai.ImageRequest
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err := common.UnmarshalBodyReusable(c, &imageRequest)
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if err != nil {
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return openai.ErrorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
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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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// Size validation
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if imageRequest.Size != "" {
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imageSize = imageRequest.Size
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}
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// Model validation
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if imageRequest.Model != "" {
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imageModel = imageRequest.Model
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}
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imageCostRatio, hasValidSize := common.DalleSizeRatios[imageModel][imageSize]
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// Check if model is supported
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if hasValidSize {
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if imageRequest.Quality == "hd" && imageModel == "dall-e-3" {
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if imageSize == "1024x1024" {
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imageCostRatio *= 2
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} else {
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imageCostRatio *= 1.5
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}
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}
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} else {
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return openai.ErrorWrapper(errors.New("size not supported for this image model"), "size_not_supported", http.StatusBadRequest)
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}
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// Prompt validation
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if imageRequest.Prompt == "" {
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return openai.ErrorWrapper(errors.New("prompt is required"), "prompt_missing", http.StatusBadRequest)
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}
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// Check prompt length
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if len(imageRequest.Prompt) > common.DalleImagePromptLengthLimitations[imageModel] {
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return openai.ErrorWrapper(errors.New("prompt is too long"), "prompt_too_long", http.StatusBadRequest)
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}
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// Number of generated images validation
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if isWithinRange(imageModel, imageRequest.N) == false {
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// channel not azure
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if channelType != common.ChannelTypeAzure {
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return openai.ErrorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
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}
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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 openai.ErrorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
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}
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if modelMap[imageModel] != "" {
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imageModel = modelMap[imageModel]
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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 := util.GetFullRequestURL(baseURL, requestURL, channelType)
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if channelType == common.ChannelTypeAzure {
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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 := util.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, imageModel, 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 openai.ErrorWrapper(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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modelRatio := common.GetModelRatio(imageModel)
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groupRatio := common.GetGroupRatio(group)
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ratio := modelRatio * groupRatio
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userQuota, err := model.CacheGetUserQuota(userId)
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quota := int(ratio*imageCostRatio*1000) * imageRequest.N
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if userQuota-quota < 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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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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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 := util.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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var textResponse openai.ImageResponse
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defer func(ctx context.Context) {
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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, quota)
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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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logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
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model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageModel, tokenName, quota, logContent)
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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 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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err = json.Unmarshal(responseBody, &textResponse)
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if err != nil {
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return openai.ErrorWrapper(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 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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