Files
new-api/relay/channel/jimeng/image.go
CaIon e2037ad756 refactor: Introduce pre-consume quota and unify relay handlers
This commit introduces a major architectural refactoring to improve quota management, centralize logging, and streamline the relay handling logic.

Key changes:
- **Pre-consume Quota:** Implements a new mechanism to check and reserve user quota *before* making the request to the upstream provider. This ensures more accurate quota deduction and prevents users from exceeding their limits due to concurrent requests.

- **Unified Relay Handlers:** Refactors the relay logic to use generic handlers (e.g., `ChatHandler`, `ImageHandler`) instead of provider-specific implementations. This significantly reduces code duplication and simplifies adding new channels.

- **Centralized Logger:** A new dedicated `logger` package is introduced, and all system logging calls are migrated to use it, moving this responsibility out of the `common` package.

- **Code Reorganization:** DTOs are generalized (e.g., `dalle.go` -> `openai_image.go`) and utility code is moved to more appropriate packages (e.g., `common/http.go` -> `service/http.go`) for better code structure.
2025-08-14 20:05:06 +08:00

90 lines
2.6 KiB
Go

package jimeng
import (
"encoding/json"
"fmt"
"io"
"net/http"
"one-api/dto"
relaycommon "one-api/relay/common"
"one-api/service"
"one-api/types"
"github.com/gin-gonic/gin"
)
type ImageResponse struct {
Code int `json:"code"`
Message string `json:"message"`
Data struct {
BinaryDataBase64 []string `json:"binary_data_base64"`
ImageUrls []string `json:"image_urls"`
RephraseResult string `json:"rephraser_result"`
RequestID string `json:"request_id"`
// Other fields are omitted for brevity
} `json:"data"`
RequestID string `json:"request_id"`
Status int `json:"status"`
TimeElapsed string `json:"time_elapsed"`
}
func responseJimeng2OpenAIImage(_ *gin.Context, response *ImageResponse, info *relaycommon.RelayInfo) *dto.ImageResponse {
imageResponse := dto.ImageResponse{
Created: info.StartTime.Unix(),
}
for _, base64Data := range response.Data.BinaryDataBase64 {
imageResponse.Data = append(imageResponse.Data, dto.ImageData{
B64Json: base64Data,
})
}
for _, imageUrl := range response.Data.ImageUrls {
imageResponse.Data = append(imageResponse.Data, dto.ImageData{
Url: imageUrl,
})
}
return &imageResponse
}
// jimengImageHandler handles the Jimeng image generation response
func jimengImageHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.Usage, *types.NewAPIError) {
var jimengResponse ImageResponse
responseBody, err := io.ReadAll(resp.Body)
if err != nil {
return nil, types.NewOpenAIError(err, types.ErrorCodeReadResponseBodyFailed, http.StatusInternalServerError)
}
service.CloseResponseBodyGracefully(resp)
err = json.Unmarshal(responseBody, &jimengResponse)
if err != nil {
return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
}
// Check if the response indicates an error
if jimengResponse.Code != 10000 {
return nil, types.WithOpenAIError(types.OpenAIError{
Message: jimengResponse.Message,
Type: "jimeng_error",
Param: "",
Code: fmt.Sprintf("%d", jimengResponse.Code),
}, resp.StatusCode)
}
// Convert Jimeng response to OpenAI format
fullTextResponse := responseJimeng2OpenAIImage(c, &jimengResponse, info)
jsonResponse, err := json.Marshal(fullTextResponse)
if err != nil {
return nil, types.NewError(err, types.ErrorCodeBadResponseBody)
}
c.Writer.Header().Set("Content-Type", "application/json")
c.Writer.WriteHeader(resp.StatusCode)
_, err = c.Writer.Write(jsonResponse)
if err != nil {
return nil, types.NewError(err, types.ErrorCodeBadResponseBody)
}
return &dto.Usage{}, nil
}