mirror of
https://github.com/songquanpeng/one-api.git
synced 2025-10-17 08:38:24 +00:00
chore: reorganize adaptor related package
This commit is contained in:
JustSong
303
relay/adaptor/zhipu/main.go
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303
relay/adaptor/zhipu/main.go
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@@ -0,0 +1,303 @@
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package zhipu
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import (
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"bufio"
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"encoding/json"
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"github.com/gin-gonic/gin"
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"github.com/golang-jwt/jwt"
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"github.com/songquanpeng/one-api/common"
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"github.com/songquanpeng/one-api/common/helper"
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"github.com/songquanpeng/one-api/common/logger"
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"github.com/songquanpeng/one-api/relay/adaptor/openai"
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"github.com/songquanpeng/one-api/relay/constant"
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"github.com/songquanpeng/one-api/relay/model"
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"io"
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"net/http"
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"strings"
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"sync"
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"time"
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)
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// https://open.bigmodel.cn/doc/api#chatglm_std
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// chatglm_std, chatglm_lite
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// https://open.bigmodel.cn/api/paas/v3/model-api/chatglm_std/invoke
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// https://open.bigmodel.cn/api/paas/v3/model-api/chatglm_std/sse-invoke
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var zhipuTokens sync.Map
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var expSeconds int64 = 24 * 3600
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func GetToken(apikey string) string {
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data, ok := zhipuTokens.Load(apikey)
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if ok {
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tokenData := data.(tokenData)
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if time.Now().Before(tokenData.ExpiryTime) {
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return tokenData.Token
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}
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}
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split := strings.Split(apikey, ".")
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if len(split) != 2 {
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logger.SysError("invalid zhipu key: " + apikey)
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return ""
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}
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id := split[0]
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secret := split[1]
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expMillis := time.Now().Add(time.Duration(expSeconds)*time.Second).UnixNano() / 1e6
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expiryTime := time.Now().Add(time.Duration(expSeconds) * time.Second)
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timestamp := time.Now().UnixNano() / 1e6
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payload := jwt.MapClaims{
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"api_key": id,
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"exp": expMillis,
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"timestamp": timestamp,
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}
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token := jwt.NewWithClaims(jwt.SigningMethodHS256, payload)
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token.Header["alg"] = "HS256"
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token.Header["sign_type"] = "SIGN"
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tokenString, err := token.SignedString([]byte(secret))
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if err != nil {
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return ""
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}
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zhipuTokens.Store(apikey, tokenData{
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Token: tokenString,
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ExpiryTime: expiryTime,
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})
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return tokenString
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}
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func ConvertRequest(request model.GeneralOpenAIRequest) *Request {
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messages := make([]Message, 0, len(request.Messages))
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for _, message := range request.Messages {
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messages = append(messages, Message{
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Role: message.Role,
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Content: message.StringContent(),
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})
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}
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return &Request{
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Prompt: messages,
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Temperature: request.Temperature,
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TopP: request.TopP,
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Incremental: false,
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}
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}
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func responseZhipu2OpenAI(response *Response) *openai.TextResponse {
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fullTextResponse := openai.TextResponse{
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Id: response.Data.TaskId,
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Object: "chat.completion",
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Created: helper.GetTimestamp(),
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Choices: make([]openai.TextResponseChoice, 0, len(response.Data.Choices)),
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Usage: response.Data.Usage,
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}
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for i, choice := range response.Data.Choices {
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openaiChoice := openai.TextResponseChoice{
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Index: i,
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Message: model.Message{
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Role: choice.Role,
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Content: strings.Trim(choice.Content, "\""),
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},
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FinishReason: "",
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}
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if i == len(response.Data.Choices)-1 {
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openaiChoice.FinishReason = "stop"
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}
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fullTextResponse.Choices = append(fullTextResponse.Choices, openaiChoice)
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}
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return &fullTextResponse
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}
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func streamResponseZhipu2OpenAI(zhipuResponse string) *openai.ChatCompletionsStreamResponse {
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var choice openai.ChatCompletionsStreamResponseChoice
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choice.Delta.Content = zhipuResponse
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response := openai.ChatCompletionsStreamResponse{
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Object: "chat.completion.chunk",
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Created: helper.GetTimestamp(),
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Model: "chatglm",
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Choices: []openai.ChatCompletionsStreamResponseChoice{choice},
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}
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return &response
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}
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func streamMetaResponseZhipu2OpenAI(zhipuResponse *StreamMetaResponse) (*openai.ChatCompletionsStreamResponse, *model.Usage) {
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var choice openai.ChatCompletionsStreamResponseChoice
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choice.Delta.Content = ""
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choice.FinishReason = &constant.StopFinishReason
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response := openai.ChatCompletionsStreamResponse{
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Id: zhipuResponse.RequestId,
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Object: "chat.completion.chunk",
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Created: helper.GetTimestamp(),
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Model: "chatglm",
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Choices: []openai.ChatCompletionsStreamResponseChoice{choice},
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}
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return &response, &zhipuResponse.Usage
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}
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func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, *model.Usage) {
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var usage *model.Usage
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scanner := bufio.NewScanner(resp.Body)
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scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
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if atEOF && len(data) == 0 {
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return 0, nil, nil
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}
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if i := strings.Index(string(data), "\n\n"); i >= 0 && strings.Index(string(data), ":") >= 0 {
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return i + 2, data[0:i], nil
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}
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if atEOF {
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return len(data), data, nil
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}
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return 0, nil, nil
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})
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dataChan := make(chan string)
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metaChan := make(chan string)
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stopChan := make(chan bool)
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go func() {
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for scanner.Scan() {
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data := scanner.Text()
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lines := strings.Split(data, "\n")
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for i, line := range lines {
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if len(line) < 5 {
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continue
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}
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if line[:5] == "data:" {
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dataChan <- line[5:]
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if i != len(lines)-1 {
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dataChan <- "\n"
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}
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} else if line[:5] == "meta:" {
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metaChan <- line[5:]
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}
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}
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}
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stopChan <- true
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}()
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common.SetEventStreamHeaders(c)
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c.Stream(func(w io.Writer) bool {
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select {
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case data := <-dataChan:
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response := streamResponseZhipu2OpenAI(data)
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jsonResponse, err := json.Marshal(response)
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if err != nil {
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logger.SysError("error marshalling stream response: " + err.Error())
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return true
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}
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c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
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return true
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case data := <-metaChan:
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var zhipuResponse StreamMetaResponse
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err := json.Unmarshal([]byte(data), &zhipuResponse)
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if err != nil {
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logger.SysError("error unmarshalling stream response: " + err.Error())
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return true
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}
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response, zhipuUsage := streamMetaResponseZhipu2OpenAI(&zhipuResponse)
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jsonResponse, err := json.Marshal(response)
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if err != nil {
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logger.SysError("error marshalling stream response: " + err.Error())
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return true
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}
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usage = zhipuUsage
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c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
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return true
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case <-stopChan:
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c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
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return false
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}
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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), nil
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}
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return nil, usage
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}
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func Handler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, *model.Usage) {
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var zhipuResponse Response
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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), nil
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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), nil
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}
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err = json.Unmarshal(responseBody, &zhipuResponse)
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if err != nil {
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return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
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}
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if !zhipuResponse.Success {
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return &model.ErrorWithStatusCode{
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Error: model.Error{
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Message: zhipuResponse.Msg,
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Type: "zhipu_error",
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Param: "",
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Code: zhipuResponse.Code,
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},
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StatusCode: resp.StatusCode,
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}, nil
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}
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fullTextResponse := responseZhipu2OpenAI(&zhipuResponse)
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fullTextResponse.Model = "chatglm"
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jsonResponse, err := json.Marshal(fullTextResponse)
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if err != nil {
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return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
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}
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c.Writer.Header().Set("Content-Type", "application/json")
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c.Writer.WriteHeader(resp.StatusCode)
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_, err = c.Writer.Write(jsonResponse)
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return nil, &fullTextResponse.Usage
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}
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func EmbeddingsHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, *model.Usage) {
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var zhipuResponse EmbeddingResponse
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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), nil
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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), nil
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}
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err = json.Unmarshal(responseBody, &zhipuResponse)
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if err != nil {
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return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
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}
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fullTextResponse := embeddingResponseZhipu2OpenAI(&zhipuResponse)
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jsonResponse, err := json.Marshal(fullTextResponse)
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if err != nil {
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return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
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}
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c.Writer.Header().Set("Content-Type", "application/json")
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c.Writer.WriteHeader(resp.StatusCode)
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_, err = c.Writer.Write(jsonResponse)
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return nil, &fullTextResponse.Usage
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}
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func embeddingResponseZhipu2OpenAI(response *EmbeddingResponse) *openai.EmbeddingResponse {
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openAIEmbeddingResponse := openai.EmbeddingResponse{
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Object: "list",
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Data: make([]openai.EmbeddingResponseItem, 0, len(response.Embeddings)),
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Model: response.Model,
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Usage: model.Usage{
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PromptTokens: response.PromptTokens,
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CompletionTokens: response.CompletionTokens,
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TotalTokens: response.Usage.TotalTokens,
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},
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}
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for _, item := range response.Embeddings {
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openAIEmbeddingResponse.Data = append(openAIEmbeddingResponse.Data, openai.EmbeddingResponseItem{
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Object: `embedding`,
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Index: item.Index,
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Embedding: item.Embedding,
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})
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}
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return &openAIEmbeddingResponse
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}
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