Files
CamTalk/backend/internal/eino/adapter.go
cfy666 4b731b5ac0 feat: 实现 Eino Graph 构建与 Orchestrator 适配器,切换 main.go
- graph.go: 构建 Graph 拓扑 START→STT→History→ChatModel→Splitter→TTS→Done→END
  - 创建 eino-ext ChatModel 对接 DashScope OpenAI 兼容接口
  - 统一使用值类型(PipelineInput/PipelineOutput)
  - Callback 在运行时通过 Stream option 传入
- adapter.go: EinoOrchestrator 实现 orchestrator.Orchestrator 接口
  - 解码 base64 音频/图片,注入 context 值
  - 调用 Graph.Stream() 触发惰性执行并消费输出
  - 追加用户/助手消息到历史
- main.go: 移除旧 llmService + orchestrator.New()
  替换为 eino.NewPipelineGraph() + eino.NewEinoOrchestrator()
- 各节点统一使用值类型,State 传递请求元数据

Co-Authored-By: Claude <noreply@anthropic.com>
2026-06-19 21:58:17 +08:00

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package eino
import (
"context"
"encoding/base64"
"io"
"time"
"github.com/cloudwego/eino/compose"
"github.com/hhs/camtalk/internal/logger"
"github.com/hhs/camtalk/internal/models"
"github.com/hhs/camtalk/internal/orchestrator"
"github.com/hhs/camtalk/internal/session"
)
// ctxKeySessionID sessionID 的 context key。
type ctxKeySessionID struct{}
// WithSessionID 将 sessionID 注入 context。
func WithSessionID(ctx context.Context, sessionID string) context.Context {
return context.WithValue(ctx, ctxKeySessionID{}, sessionID)
}
// EinoOrchestrator 实现 orchestrator.Orchestrator 接口。
// 将 Eino Graph 包装为现有接口WS Handler 几乎不用改。
type EinoOrchestrator struct {
graph *PipelineGraph
sessionMgr session.Manager
model string
callbacks compose.Option // 运行时 Callback option
}
// NewEinoOrchestrator 创建 Eino 编排器适配器。
func NewEinoOrchestrator(graph *PipelineGraph, sessionMgr session.Manager, model string) *EinoOrchestrator {
return &EinoOrchestrator{
graph: graph,
sessionMgr: sessionMgr,
model: model,
callbacks: compose.WithCallbacks(BuildCallbackHandler()),
}
}
// ProcessQuery 实现 orchestrator.Orchestrator 接口。
func (e *EinoOrchestrator) ProcessQuery(
ctx context.Context,
sessionID string,
req models.WsQuery,
history []models.Message,
sender orchestrator.Sender,
) error {
log := logger.Log
startTime := time.Now()
// 1. 设置活跃请求
if err := e.sessionMgr.SetActiveRequest(ctx, sessionID, req.RequestID); err != nil {
log.Errorw("设置活跃请求失败", "error", err)
}
defer e.sessionMgr.ClearActiveRequest(ctx, sessionID)
// 2. 获取会话配置
sess, err := e.sessionMgr.Get(ctx, sessionID)
if err != nil {
log.Errorw("获取会话失败", "error", err)
sender.SendError(models.WsError{
Type: "error",
RequestID: req.RequestID,
Code: "SESSION_NOT_FOUND",
Message: "会话不存在",
})
return err
}
// 3. 解码音频和图片
var audioData []byte
if req.Text == "" && req.Audio != "" {
audioData, err = base64.StdEncoding.DecodeString(req.Audio)
if err != nil {
log.Errorw("音频解码失败", "error", err)
sender.SendError(models.WsError{
Type: "error",
RequestID: req.RequestID,
Code: "INVALID_MESSAGE",
Message: "音频数据解码失败",
})
return err
}
}
var imageData []byte
if req.Image != "" {
imageData, err = base64.StdEncoding.DecodeString(req.Image)
if err != nil {
log.Errorw("图片解码失败", "error", err)
sender.SendError(models.WsError{
Type: "error",
RequestID: req.RequestID,
Code: "INVALID_MESSAGE",
Message: "图片数据解码失败",
})
return err
}
}
// 4. 构建 Graph 输入
input := buildPipelineInput(req, sessionID, sess, audioData, imageData)
// 5. 注入 context 值(供 Callback 和 Lambda 节点使用)
ctx = WithSender(ctx, sender)
ctx = WithRequestID(ctx, req.RequestID)
ctx = WithSessionID(ctx, sessionID)
ctx = WithStartTime(ctx, startTime)
ctx = WithPipelineState(ctx, genLocalState(ctx))
// 6. 追加用户消息到历史
if req.Text != "" {
_ = e.sessionMgr.AppendMessage(ctx, sessionID, models.Message{
Role: "user",
Content: req.Text,
})
}
// 7. 调用 GraphStream 模式 + 运行时 Callback
streamReader, err := e.graph.Runnable.Stream(ctx, input, e.callbacks)
if err != nil {
log.Errorw("Graph Stream 启动失败", "error", err)
sender.SendError(models.WsError{
Type: "error",
RequestID: req.RequestID,
Code: "INTERNAL_ERROR",
Message: "编排器启动失败",
})
return err
}
// 8. 消费 StreamReader触发整条链路执行side effects 推送消息到客户端)
var output PipelineOutput
for {
o, err := streamReader.Recv()
if err != nil {
if err == io.EOF {
break
}
log.Errorw("Graph Stream 消费错误", "error", err)
break
}
output = o
}
// 9. 追加助手消息到历史
if output.FullResponse != "" {
_ = e.sessionMgr.AppendMessage(ctx, sessionID, models.Message{
Role: "assistant",
Content: output.FullResponse,
})
}
latency := time.Since(startTime).Milliseconds()
log.Infow("Eino 编排完成",
"request_id", req.RequestID,
"latency_ms", latency,
"session_id", sessionID)
return nil
}