chore: reorganize adaptor related package

relay/adaptor/palm/palm.go

@@ -0,0 +1,177 @@
+package palm
+
+import (
+	"encoding/json"
+	"fmt"
+	"github.com/gin-gonic/gin"
+	"github.com/songquanpeng/one-api/common"
+	"github.com/songquanpeng/one-api/common/helper"
+	"github.com/songquanpeng/one-api/common/logger"
+	"github.com/songquanpeng/one-api/common/random"
+	"github.com/songquanpeng/one-api/relay/adaptor/openai"
+	"github.com/songquanpeng/one-api/relay/constant"
+	"github.com/songquanpeng/one-api/relay/model"
+	"io"
+	"net/http"
+)
+
+// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#request-body
+// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#response-body
+
+func ConvertRequest(textRequest model.GeneralOpenAIRequest) *ChatRequest {
+	palmRequest := ChatRequest{
+		Prompt: Prompt{
+			Messages: make([]ChatMessage, 0, len(textRequest.Messages)),
+		},
+		Temperature:    textRequest.Temperature,
+		CandidateCount: textRequest.N,
+		TopP:           textRequest.TopP,
+		TopK:           textRequest.MaxTokens,
+	}
+	for _, message := range textRequest.Messages {
+		palmMessage := ChatMessage{
+			Content: message.StringContent(),
+		}
+		if message.Role == "user" {
+			palmMessage.Author = "0"
+		} else {
+			palmMessage.Author = "1"
+		}
+		palmRequest.Prompt.Messages = append(palmRequest.Prompt.Messages, palmMessage)
+	}
+	return &palmRequest
+}
+
+func responsePaLM2OpenAI(response *ChatResponse) *openai.TextResponse {
+	fullTextResponse := openai.TextResponse{
+		Choices: make([]openai.TextResponseChoice, 0, len(response.Candidates)),
+	}
+	for i, candidate := range response.Candidates {
+		choice := openai.TextResponseChoice{
+			Index: i,
+			Message: model.Message{
+				Role:    "assistant",
+				Content: candidate.Content,
+			},
+			FinishReason: "stop",
+		}
+		fullTextResponse.Choices = append(fullTextResponse.Choices, choice)
+	}
+	return &fullTextResponse
+}
+
+func streamResponsePaLM2OpenAI(palmResponse *ChatResponse) *openai.ChatCompletionsStreamResponse {
+	var choice openai.ChatCompletionsStreamResponseChoice
+	if len(palmResponse.Candidates) > 0 {
+		choice.Delta.Content = palmResponse.Candidates[0].Content
+	}
+	choice.FinishReason = &constant.StopFinishReason
+	var response openai.ChatCompletionsStreamResponse
+	response.Object = "chat.completion.chunk"
+	response.Model = "palm2"
+	response.Choices = []openai.ChatCompletionsStreamResponseChoice{choice}
+	return &response
+}
+
+func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, string) {
+	responseText := ""
+	responseId := fmt.Sprintf("chatcmpl-%s", random.GetUUID())
+	createdTime := helper.GetTimestamp()
+	dataChan := make(chan string)
+	stopChan := make(chan bool)
+	go func() {
+		responseBody, err := io.ReadAll(resp.Body)
+		if err != nil {
+			logger.SysError("error reading stream response: " + err.Error())
+			stopChan <- true
+			return
+		}
+		err = resp.Body.Close()
+		if err != nil {
+			logger.SysError("error closing stream response: " + err.Error())
+			stopChan <- true
+			return
+		}
+		var palmResponse ChatResponse
+		err = json.Unmarshal(responseBody, &palmResponse)
+		if err != nil {
+			logger.SysError("error unmarshalling stream response: " + err.Error())
+			stopChan <- true
+			return
+		}
+		fullTextResponse := streamResponsePaLM2OpenAI(&palmResponse)
+		fullTextResponse.Id = responseId
+		fullTextResponse.Created = createdTime
+		if len(palmResponse.Candidates) > 0 {
+			responseText = palmResponse.Candidates[0].Content
+		}
+		jsonResponse, err := json.Marshal(fullTextResponse)
+		if err != nil {
+			logger.SysError("error marshalling stream response: " + err.Error())
+			stopChan <- true
+			return
+		}
+		dataChan <- string(jsonResponse)
+		stopChan <- true
+	}()
+	common.SetEventStreamHeaders(c)
+	c.Stream(func(w io.Writer) bool {
+		select {
+		case data := <-dataChan:
+			c.Render(-1, common.CustomEvent{Data: "data: " + data})
+			return true
+		case <-stopChan:
+			c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
+			return false
+		}
+	})
+	err := resp.Body.Close()
+	if err != nil {
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
+	}
+	return nil, responseText
+}
+
+func Handler(c *gin.Context, resp *http.Response, promptTokens int, modelName string) (*model.ErrorWithStatusCode, *model.Usage) {
+	responseBody, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return openai.ErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+	}
+	err = resp.Body.Close()
+	if err != nil {
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+	}
+	var palmResponse ChatResponse
+	err = json.Unmarshal(responseBody, &palmResponse)
+	if err != nil {
+		return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	if palmResponse.Error.Code != 0 || len(palmResponse.Candidates) == 0 {
+		return &model.ErrorWithStatusCode{
+			Error: model.Error{
+				Message: palmResponse.Error.Message,
+				Type:    palmResponse.Error.Status,
+				Param:   "",
+				Code:    palmResponse.Error.Code,
+			},
+			StatusCode: resp.StatusCode,
+		}, nil
+	}
+	fullTextResponse := responsePaLM2OpenAI(&palmResponse)
+	fullTextResponse.Model = modelName
+	completionTokens := openai.CountTokenText(palmResponse.Candidates[0].Content, modelName)
+	usage := model.Usage{
+		PromptTokens:     promptTokens,
+		CompletionTokens: completionTokens,
+		TotalTokens:      promptTokens + completionTokens,
+	}
+	fullTextResponse.Usage = usage
+	jsonResponse, err := json.Marshal(fullTextResponse)
+	if err != nil {
+		return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	c.Writer.Header().Set("Content-Type", "application/json")
+	c.Writer.WriteHeader(resp.StatusCode)
+	_, err = c.Writer.Write(jsonResponse)
+	return nil, &usage
+}