Files
new-api/dto/gemini.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

330 lines
10 KiB
Go

package dto
import (
"encoding/json"
"github.com/gin-gonic/gin"
"one-api/common"
"one-api/logger"
"one-api/types"
"strings"
)
type GeminiChatRequest struct {
Contents []GeminiChatContent `json:"contents"`
SafetySettings []GeminiChatSafetySettings `json:"safetySettings,omitempty"`
GenerationConfig GeminiChatGenerationConfig `json:"generationConfig,omitempty"`
Tools json.RawMessage `json:"tools,omitempty"`
SystemInstructions *GeminiChatContent `json:"systemInstruction,omitempty"`
}
func (r *GeminiChatRequest) GetTokenCountMeta() *types.TokenCountMeta {
var files []*types.FileMeta = make([]*types.FileMeta, 0)
var maxTokens int
if r.GenerationConfig.MaxOutputTokens > 0 {
maxTokens = int(r.GenerationConfig.MaxOutputTokens)
}
var inputTexts []string
for _, content := range r.Contents {
for _, part := range content.Parts {
if part.Text != "" {
inputTexts = append(inputTexts, part.Text)
}
if part.InlineData != nil && part.InlineData.Data != "" {
if strings.HasPrefix(part.InlineData.MimeType, "image/") {
files = append(files, &types.FileMeta{
FileType: types.FileTypeImage,
Data: part.InlineData.Data,
})
} else if strings.HasPrefix(part.InlineData.MimeType, "audio/") {
files = append(files, &types.FileMeta{
FileType: types.FileTypeAudio,
Data: part.InlineData.Data,
})
} else if strings.HasPrefix(part.InlineData.MimeType, "video/") {
files = append(files, &types.FileMeta{
FileType: types.FileTypeVideo,
Data: part.InlineData.Data,
})
} else {
files = append(files, &types.FileMeta{
FileType: types.FileTypeFile,
Data: part.InlineData.Data,
})
}
}
}
}
inputText := strings.Join(inputTexts, "\n")
return &types.TokenCountMeta{
CombineText: inputText,
Files: files,
MaxTokens: maxTokens,
}
}
func (r *GeminiChatRequest) IsStream(c *gin.Context) bool {
if c.Query("alt") == "sse" {
return true
}
return false
}
func (r *GeminiChatRequest) GetTools() []GeminiChatTool {
var tools []GeminiChatTool
if strings.HasSuffix(string(r.Tools), "[") {
// is array
if err := common.Unmarshal(r.Tools, &tools); err != nil {
logger.LogError(nil, "error_unmarshalling_tools: "+err.Error())
return nil
}
} else if strings.HasPrefix(string(r.Tools), "{") {
// is object
singleTool := GeminiChatTool{}
if err := common.Unmarshal(r.Tools, &singleTool); err != nil {
logger.LogError(nil, "error_unmarshalling_single_tool: "+err.Error())
return nil
}
tools = []GeminiChatTool{singleTool}
}
return tools
}
func (r *GeminiChatRequest) SetTools(tools []GeminiChatTool) {
if len(tools) == 0 {
r.Tools = json.RawMessage("[]")
return
}
// Marshal the tools to JSON
data, err := common.Marshal(tools)
if err != nil {
logger.LogError(nil, "error_marshalling_tools: "+err.Error())
return
}
r.Tools = data
}
type GeminiThinkingConfig struct {
IncludeThoughts bool `json:"includeThoughts,omitempty"`
ThinkingBudget *int `json:"thinkingBudget,omitempty"`
}
func (c *GeminiThinkingConfig) SetThinkingBudget(budget int) {
c.ThinkingBudget = &budget
}
type GeminiInlineData struct {
MimeType string `json:"mimeType"`
Data string `json:"data"`
}
// UnmarshalJSON custom unmarshaler for GeminiInlineData to support snake_case and camelCase for MimeType
func (g *GeminiInlineData) UnmarshalJSON(data []byte) error {
type Alias GeminiInlineData // Use type alias to avoid recursion
var aux struct {
Alias
MimeTypeSnake string `json:"mime_type"`
}
if err := common.Unmarshal(data, &aux); err != nil {
return err
}
*g = GeminiInlineData(aux.Alias) // Copy other fields if any in future
// Prioritize snake_case if present
if aux.MimeTypeSnake != "" {
g.MimeType = aux.MimeTypeSnake
} else if aux.MimeType != "" { // Fallback to camelCase from Alias
g.MimeType = aux.MimeType
}
// g.Data would be populated by aux.Alias.Data
return nil
}
type FunctionCall struct {
FunctionName string `json:"name"`
Arguments any `json:"args"`
}
type GeminiFunctionResponse struct {
Name string `json:"name"`
Response map[string]interface{} `json:"response"`
}
type GeminiPartExecutableCode struct {
Language string `json:"language,omitempty"`
Code string `json:"code,omitempty"`
}
type GeminiPartCodeExecutionResult struct {
Outcome string `json:"outcome,omitempty"`
Output string `json:"output,omitempty"`
}
type GeminiFileData struct {
MimeType string `json:"mimeType,omitempty"`
FileUri string `json:"fileUri,omitempty"`
}
type GeminiPart struct {
Text string `json:"text,omitempty"`
Thought bool `json:"thought,omitempty"`
InlineData *GeminiInlineData `json:"inlineData,omitempty"`
FunctionCall *FunctionCall `json:"functionCall,omitempty"`
FunctionResponse *GeminiFunctionResponse `json:"functionResponse,omitempty"`
FileData *GeminiFileData `json:"fileData,omitempty"`
ExecutableCode *GeminiPartExecutableCode `json:"executableCode,omitempty"`
CodeExecutionResult *GeminiPartCodeExecutionResult `json:"codeExecutionResult,omitempty"`
}
// UnmarshalJSON custom unmarshaler for GeminiPart to support snake_case and camelCase for InlineData
func (p *GeminiPart) UnmarshalJSON(data []byte) error {
// Alias to avoid recursion during unmarshalling
type Alias GeminiPart
var aux struct {
Alias
InlineDataSnake *GeminiInlineData `json:"inline_data,omitempty"` // snake_case variant
}
if err := common.Unmarshal(data, &aux); err != nil {
return err
}
// Assign fields from alias
*p = GeminiPart(aux.Alias)
// Prioritize snake_case for InlineData if present
if aux.InlineDataSnake != nil {
p.InlineData = aux.InlineDataSnake
} else if aux.InlineData != nil { // Fallback to camelCase from Alias
p.InlineData = aux.InlineData
}
// Other fields like Text, FunctionCall etc. are already populated via aux.Alias
return nil
}
type GeminiChatContent struct {
Role string `json:"role,omitempty"`
Parts []GeminiPart `json:"parts"`
}
type GeminiChatSafetySettings struct {
Category string `json:"category"`
Threshold string `json:"threshold"`
}
type GeminiChatTool struct {
GoogleSearch any `json:"googleSearch,omitempty"`
GoogleSearchRetrieval any `json:"googleSearchRetrieval,omitempty"`
CodeExecution any `json:"codeExecution,omitempty"`
FunctionDeclarations any `json:"functionDeclarations,omitempty"`
}
type GeminiChatGenerationConfig struct {
Temperature *float64 `json:"temperature,omitempty"`
TopP float64 `json:"topP,omitempty"`
TopK float64 `json:"topK,omitempty"`
MaxOutputTokens uint `json:"maxOutputTokens,omitempty"`
CandidateCount int `json:"candidateCount,omitempty"`
StopSequences []string `json:"stopSequences,omitempty"`
ResponseMimeType string `json:"responseMimeType,omitempty"`
ResponseSchema any `json:"responseSchema,omitempty"`
Seed int64 `json:"seed,omitempty"`
ResponseModalities []string `json:"responseModalities,omitempty"`
ThinkingConfig *GeminiThinkingConfig `json:"thinkingConfig,omitempty"`
SpeechConfig json.RawMessage `json:"speechConfig,omitempty"` // RawMessage to allow flexible speech config
}
type GeminiChatCandidate struct {
Content GeminiChatContent `json:"content"`
FinishReason *string `json:"finishReason"`
Index int64 `json:"index"`
SafetyRatings []GeminiChatSafetyRating `json:"safetyRatings"`
}
type GeminiChatSafetyRating struct {
Category string `json:"category"`
Probability string `json:"probability"`
}
type GeminiChatPromptFeedback struct {
SafetyRatings []GeminiChatSafetyRating `json:"safetyRatings"`
}
type GeminiChatResponse struct {
Candidates []GeminiChatCandidate `json:"candidates"`
PromptFeedback GeminiChatPromptFeedback `json:"promptFeedback"`
UsageMetadata GeminiUsageMetadata `json:"usageMetadata"`
}
type GeminiUsageMetadata struct {
PromptTokenCount int `json:"promptTokenCount"`
CandidatesTokenCount int `json:"candidatesTokenCount"`
TotalTokenCount int `json:"totalTokenCount"`
ThoughtsTokenCount int `json:"thoughtsTokenCount"`
PromptTokensDetails []GeminiPromptTokensDetails `json:"promptTokensDetails"`
}
type GeminiPromptTokensDetails struct {
Modality string `json:"modality"`
TokenCount int `json:"tokenCount"`
}
// Imagen related structs
type GeminiImageRequest struct {
Instances []GeminiImageInstance `json:"instances"`
Parameters GeminiImageParameters `json:"parameters"`
}
type GeminiImageInstance struct {
Prompt string `json:"prompt"`
}
type GeminiImageParameters struct {
SampleCount int `json:"sampleCount,omitempty"`
AspectRatio string `json:"aspectRatio,omitempty"`
PersonGeneration string `json:"personGeneration,omitempty"`
}
type GeminiImageResponse struct {
Predictions []GeminiImagePrediction `json:"predictions"`
}
type GeminiImagePrediction struct {
MimeType string `json:"mimeType"`
BytesBase64Encoded string `json:"bytesBase64Encoded"`
RaiFilteredReason string `json:"raiFilteredReason,omitempty"`
SafetyAttributes any `json:"safetyAttributes,omitempty"`
}
// Embedding related structs
type GeminiEmbeddingRequest struct {
Model string `json:"model,omitempty"`
Content GeminiChatContent `json:"content"`
TaskType string `json:"taskType,omitempty"`
Title string `json:"title,omitempty"`
OutputDimensionality int `json:"outputDimensionality,omitempty"`
}
type GeminiBatchEmbeddingRequest struct {
Requests []*GeminiEmbeddingRequest `json:"requests"`
}
type GeminiEmbeddingResponse struct {
Embedding ContentEmbedding `json:"embedding"`
}
type GeminiBatchEmbeddingResponse struct {
Embeddings []*ContentEmbedding `json:"embeddings"`
}
type ContentEmbedding struct {
Values []float64 `json:"values"`
}