refactor: refactor image relay (close #1068)
This commit is contained in:
parent
1d0b7fb5ae
commit
de18d6fe16
@ -7,29 +7,6 @@ import (
|
||||
"time"
|
||||
)
|
||||
|
||||
var DalleSizeRatios = map[string]map[string]float64{
|
||||
"dall-e-2": {
|
||||
"256x256": 1,
|
||||
"512x512": 1.125,
|
||||
"1024x1024": 1.25,
|
||||
},
|
||||
"dall-e-3": {
|
||||
"1024x1024": 1,
|
||||
"1024x1792": 2,
|
||||
"1792x1024": 2,
|
||||
},
|
||||
}
|
||||
|
||||
var DalleGenerationImageAmounts = map[string][2]int{
|
||||
"dall-e-2": {1, 10},
|
||||
"dall-e-3": {1, 1}, // OpenAI allows n=1 currently.
|
||||
}
|
||||
|
||||
var DalleImagePromptLengthLimitations = map[string]int{
|
||||
"dall-e-2": 1000,
|
||||
"dall-e-3": 4000,
|
||||
}
|
||||
|
||||
const (
|
||||
USD2RMB = 7
|
||||
USD = 500 // $0.002 = 1 -> $1 = 500
|
||||
|
24
relay/constant/image.go
Normal file
24
relay/constant/image.go
Normal file
@ -0,0 +1,24 @@
|
||||
package constant
|
||||
|
||||
var DalleSizeRatios = map[string]map[string]float64{
|
||||
"dall-e-2": {
|
||||
"256x256": 1,
|
||||
"512x512": 1.125,
|
||||
"1024x1024": 1.25,
|
||||
},
|
||||
"dall-e-3": {
|
||||
"1024x1024": 1,
|
||||
"1024x1792": 2,
|
||||
"1792x1024": 2,
|
||||
},
|
||||
}
|
||||
|
||||
var DalleGenerationImageAmounts = map[string][2]int{
|
||||
"dall-e-2": {1, 10},
|
||||
"dall-e-3": {1, 1}, // OpenAI allows n=1 currently.
|
||||
}
|
||||
|
||||
var DalleImagePromptLengthLimitations = map[string]int{
|
||||
"dall-e-2": 1000,
|
||||
"dall-e-3": 4000,
|
||||
}
|
@ -36,6 +36,65 @@ func getAndValidateTextRequest(c *gin.Context, relayMode int) (*relaymodel.Gener
|
||||
return textRequest, nil
|
||||
}
|
||||
|
||||
func getImageRequest(c *gin.Context, relayMode int) (*openai.ImageRequest, error) {
|
||||
imageRequest := &openai.ImageRequest{}
|
||||
err := common.UnmarshalBodyReusable(c, imageRequest)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
if imageRequest.N == 0 {
|
||||
imageRequest.N = 1
|
||||
}
|
||||
if imageRequest.Size == "" {
|
||||
imageRequest.Size = "1024x1024"
|
||||
}
|
||||
if imageRequest.Model == "" {
|
||||
imageRequest.Model = "dall-e-2"
|
||||
}
|
||||
return imageRequest, nil
|
||||
}
|
||||
|
||||
func validateImageRequest(imageRequest *openai.ImageRequest, meta *util.RelayMeta) *relaymodel.ErrorWithStatusCode {
|
||||
// model validation
|
||||
_, hasValidSize := constant.DalleSizeRatios[imageRequest.Model][imageRequest.Size]
|
||||
if !hasValidSize {
|
||||
return openai.ErrorWrapper(errors.New("size not supported for this image model"), "size_not_supported", http.StatusBadRequest)
|
||||
}
|
||||
// check prompt length
|
||||
if imageRequest.Prompt == "" {
|
||||
return openai.ErrorWrapper(errors.New("prompt is required"), "prompt_missing", http.StatusBadRequest)
|
||||
}
|
||||
if len(imageRequest.Prompt) > constant.DalleImagePromptLengthLimitations[imageRequest.Model] {
|
||||
return openai.ErrorWrapper(errors.New("prompt is too long"), "prompt_too_long", http.StatusBadRequest)
|
||||
}
|
||||
// Number of generated images validation
|
||||
if !isWithinRange(imageRequest.Model, imageRequest.N) {
|
||||
// channel not azure
|
||||
if meta.ChannelType != common.ChannelTypeAzure {
|
||||
return openai.ErrorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
|
||||
}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func getImageCostRatio(imageRequest *openai.ImageRequest) (float64, error) {
|
||||
if imageRequest == nil {
|
||||
return 0, errors.New("imageRequest is nil")
|
||||
}
|
||||
imageCostRatio, hasValidSize := constant.DalleSizeRatios[imageRequest.Model][imageRequest.Size]
|
||||
if !hasValidSize {
|
||||
return 0, fmt.Errorf("size not supported for this image model: %s", imageRequest.Size)
|
||||
}
|
||||
if imageRequest.Quality == "hd" && imageRequest.Model == "dall-e-3" {
|
||||
if imageRequest.Size == "1024x1024" {
|
||||
imageCostRatio *= 2
|
||||
} else {
|
||||
imageCostRatio *= 1.5
|
||||
}
|
||||
}
|
||||
return imageCostRatio, nil
|
||||
}
|
||||
|
||||
func getPromptTokens(textRequest *relaymodel.GeneralOpenAIRequest, relayMode int) int {
|
||||
switch relayMode {
|
||||
case constant.RelayModeChatCompletions:
|
||||
|
@ -10,6 +10,7 @@ import (
|
||||
"github.com/songquanpeng/one-api/common/logger"
|
||||
"github.com/songquanpeng/one-api/model"
|
||||
"github.com/songquanpeng/one-api/relay/channel/openai"
|
||||
"github.com/songquanpeng/one-api/relay/constant"
|
||||
relaymodel "github.com/songquanpeng/one-api/relay/model"
|
||||
"github.com/songquanpeng/one-api/relay/util"
|
||||
"io"
|
||||
@ -20,120 +21,65 @@ import (
|
||||
)
|
||||
|
||||
func isWithinRange(element string, value int) bool {
|
||||
if _, ok := common.DalleGenerationImageAmounts[element]; !ok {
|
||||
if _, ok := constant.DalleGenerationImageAmounts[element]; !ok {
|
||||
return false
|
||||
}
|
||||
min := common.DalleGenerationImageAmounts[element][0]
|
||||
max := common.DalleGenerationImageAmounts[element][1]
|
||||
min := constant.DalleGenerationImageAmounts[element][0]
|
||||
max := constant.DalleGenerationImageAmounts[element][1]
|
||||
|
||||
return value >= min && value <= max
|
||||
}
|
||||
|
||||
func RelayImageHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatusCode {
|
||||
imageModel := "dall-e-2"
|
||||
imageSize := "1024x1024"
|
||||
|
||||
tokenId := c.GetInt("token_id")
|
||||
channelType := c.GetInt("channel")
|
||||
channelId := c.GetInt("channel_id")
|
||||
userId := c.GetInt("id")
|
||||
group := c.GetString("group")
|
||||
|
||||
var imageRequest openai.ImageRequest
|
||||
err := common.UnmarshalBodyReusable(c, &imageRequest)
|
||||
ctx := c.Request.Context()
|
||||
meta := util.GetRelayMeta(c)
|
||||
imageRequest, err := getImageRequest(c, meta.Mode)
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
if imageRequest.N == 0 {
|
||||
imageRequest.N = 1
|
||||
}
|
||||
|
||||
// Size validation
|
||||
if imageRequest.Size != "" {
|
||||
imageSize = imageRequest.Size
|
||||
}
|
||||
|
||||
// Model validation
|
||||
if imageRequest.Model != "" {
|
||||
imageModel = imageRequest.Model
|
||||
}
|
||||
|
||||
imageCostRatio, hasValidSize := common.DalleSizeRatios[imageModel][imageSize]
|
||||
|
||||
// Check if model is supported
|
||||
if hasValidSize {
|
||||
if imageRequest.Quality == "hd" && imageModel == "dall-e-3" {
|
||||
if imageSize == "1024x1024" {
|
||||
imageCostRatio *= 2
|
||||
} else {
|
||||
imageCostRatio *= 1.5
|
||||
}
|
||||
}
|
||||
} else {
|
||||
return openai.ErrorWrapper(errors.New("size not supported for this image model"), "size_not_supported", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
// Prompt validation
|
||||
if imageRequest.Prompt == "" {
|
||||
return openai.ErrorWrapper(errors.New("prompt is required"), "prompt_missing", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
// Check prompt length
|
||||
if len(imageRequest.Prompt) > common.DalleImagePromptLengthLimitations[imageModel] {
|
||||
return openai.ErrorWrapper(errors.New("prompt is too long"), "prompt_too_long", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
// Number of generated images validation
|
||||
if !isWithinRange(imageModel, imageRequest.N) {
|
||||
// channel not azure
|
||||
if channelType != common.ChannelTypeAzure {
|
||||
return openai.ErrorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
|
||||
}
|
||||
logger.Errorf(ctx, "getImageRequest failed: %s", err.Error())
|
||||
return openai.ErrorWrapper(err, "invalid_image_request", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
// map model name
|
||||
modelMapping := c.GetString("model_mapping")
|
||||
isModelMapped := false
|
||||
if modelMapping != "" {
|
||||
modelMap := make(map[string]string)
|
||||
err := json.Unmarshal([]byte(modelMapping), &modelMap)
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
|
||||
}
|
||||
if modelMap[imageModel] != "" {
|
||||
imageModel = modelMap[imageModel]
|
||||
isModelMapped = true
|
||||
}
|
||||
var isModelMapped bool
|
||||
meta.OriginModelName = imageRequest.Model
|
||||
imageRequest.Model, isModelMapped = util.GetMappedModelName(imageRequest.Model, meta.ModelMapping)
|
||||
meta.ActualModelName = imageRequest.Model
|
||||
|
||||
// model validation
|
||||
bizErr := validateImageRequest(imageRequest, meta)
|
||||
if bizErr != nil {
|
||||
return bizErr
|
||||
}
|
||||
baseURL := common.ChannelBaseURLs[channelType]
|
||||
|
||||
imageCostRatio, err := getImageCostRatio(imageRequest)
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "get_image_cost_ratio_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
requestURL := c.Request.URL.String()
|
||||
if c.GetString("base_url") != "" {
|
||||
baseURL = c.GetString("base_url")
|
||||
}
|
||||
fullRequestURL := util.GetFullRequestURL(baseURL, requestURL, channelType)
|
||||
if channelType == common.ChannelTypeAzure {
|
||||
fullRequestURL := util.GetFullRequestURL(meta.BaseURL, requestURL, meta.ChannelType)
|
||||
if meta.ChannelType == common.ChannelTypeAzure {
|
||||
// https://learn.microsoft.com/en-us/azure/ai-services/openai/dall-e-quickstart?tabs=dalle3%2Ccommand-line&pivots=rest-api
|
||||
apiVersion := util.GetAzureAPIVersion(c)
|
||||
// https://{resource_name}.openai.azure.com/openai/deployments/dall-e-3/images/generations?api-version=2023-06-01-preview
|
||||
fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/images/generations?api-version=%s", baseURL, imageModel, apiVersion)
|
||||
fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/images/generations?api-version=%s", meta.BaseURL, imageRequest.Model, apiVersion)
|
||||
}
|
||||
|
||||
var requestBody io.Reader
|
||||
if isModelMapped || channelType == common.ChannelTypeAzure { // make Azure channel request body
|
||||
if isModelMapped || meta.ChannelType == common.ChannelTypeAzure { // make Azure channel request body
|
||||
jsonStr, err := json.Marshal(imageRequest)
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
|
||||
return openai.ErrorWrapper(err, "marshal_image_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
requestBody = bytes.NewBuffer(jsonStr)
|
||||
} else {
|
||||
requestBody = c.Request.Body
|
||||
}
|
||||
|
||||
modelRatio := common.GetModelRatio(imageModel)
|
||||
groupRatio := common.GetGroupRatio(group)
|
||||
modelRatio := common.GetModelRatio(imageRequest.Model)
|
||||
groupRatio := common.GetGroupRatio(meta.Group)
|
||||
ratio := modelRatio * groupRatio
|
||||
userQuota, err := model.CacheGetUserQuota(userId)
|
||||
userQuota, err := model.CacheGetUserQuota(meta.UserId)
|
||||
|
||||
quota := int(ratio*imageCostRatio*1000) * imageRequest.N
|
||||
|
||||
@ -146,7 +92,7 @@ func RelayImageHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatus
|
||||
return openai.ErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
token := c.Request.Header.Get("Authorization")
|
||||
if channelType == common.ChannelTypeAzure { // Azure authentication
|
||||
if meta.ChannelType == common.ChannelTypeAzure { // Azure authentication
|
||||
token = strings.TrimPrefix(token, "Bearer ")
|
||||
req.Header.Set("api-key", token)
|
||||
} else {
|
||||
@ -169,25 +115,25 @@ func RelayImageHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatus
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
var textResponse openai.ImageResponse
|
||||
var imageResponse openai.ImageResponse
|
||||
|
||||
defer func(ctx context.Context) {
|
||||
if resp.StatusCode != http.StatusOK {
|
||||
return
|
||||
}
|
||||
err := model.PostConsumeTokenQuota(tokenId, quota)
|
||||
err := model.PostConsumeTokenQuota(meta.TokenId, quota)
|
||||
if err != nil {
|
||||
logger.SysError("error consuming token remain quota: " + err.Error())
|
||||
}
|
||||
err = model.CacheUpdateUserQuota(userId)
|
||||
err = model.CacheUpdateUserQuota(meta.UserId)
|
||||
if err != nil {
|
||||
logger.SysError("error update user quota cache: " + err.Error())
|
||||
}
|
||||
if quota != 0 {
|
||||
tokenName := c.GetString("token_name")
|
||||
logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
|
||||
model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageModel, tokenName, quota, logContent)
|
||||
model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
|
||||
model.RecordConsumeLog(ctx, meta.UserId, meta.ChannelId, 0, 0, imageRequest.Model, tokenName, quota, logContent)
|
||||
model.UpdateUserUsedQuotaAndRequestCount(meta.UserId, quota)
|
||||
channelId := c.GetInt("channel_id")
|
||||
model.UpdateChannelUsedQuota(channelId, quota)
|
||||
}
|
||||
@ -202,7 +148,7 @@ func RelayImageHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatus
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
err = json.Unmarshal(responseBody, &textResponse)
|
||||
err = json.Unmarshal(responseBody, &imageResponse)
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user