ai-agent/workflow/service/flow/flow_execution_service.go

package flow

import (
	"ai-agent/workflow/consts/flow"
	"ai-agent/workflow/consts/node"
	fileDao "ai-agent/workflow/dao/file"
	flowDao "ai-agent/workflow/dao/flow"
	nodeDao "ai-agent/workflow/dao/node"
	"ai-agent/workflow/model/dto"
	fileDto "ai-agent/workflow/model/dto/file"
	flowDto "ai-agent/workflow/model/dto/flow"
	nodeDto "ai-agent/workflow/model/dto/node"
	"ai-agent/workflow/model/entity"
	"context"
	"errors"
	"fmt"
	"sort"
	"strconv"
	"strings"
	"sync"
	"time"

	"gitea.redpowerfuture.com/red-future/common/utils"
	"github.com/cloudwego/eino/compose"
	"github.com/gogf/gf/v2/frame/g"
	"github.com/gogf/gf/v2/os/gtime"
	"github.com/gogf/gf/v2/util/gconv"
	"github.com/google/uuid"
	"go.opentelemetry.io/otel/trace"
)

var FlowExecutionService = &flowExecutionService{}

type flowExecutionService struct{}

func (s *flowExecutionService) Get(ctx context.Context, req *flowDto.GetFlowExecutionReq) (res *flowDto.VOFlowExecution, err error) {
	r, err := flowDao.FlowExecutionDao.Get(ctx, req)
	if err != nil {
		return nil, err
	}
	res = new(flowDto.VOFlowExecution)
	res.ImgAddressPrefix, err = utils.GetFileAddressPrefix(ctx)
	if err != nil {
		return nil, err
	}
	err = gconv.Struct(r, &res)
	return res, err
}

func (s *flowExecutionService) List(ctx context.Context, req *flowDto.ListFlowExecutionReq) (res *flowDto.ListFlowExecutionTreeRes, err error) {
	user, err := utils.GetUserInfo(ctx)
	if err != nil {
		return
	}
	req.Creator = user.UserName
	list, _, err := flowDao.FlowExecutionDao.List(ctx, req)
	if err != nil {
		return nil, err
	}

	// ===================== 核心修复：只统计【有数据】的执行记录，空的直接跳过 =====================

	executionNumber := make(map[int64]int) // executionId -> 倒序编号（最新=1）

	// 第一次遍历：只处理【有输出参数】的记录，统计并分配编号
	var validList []*entity.FlowExecution // 只存有效（非空）记录
	for _, execution := range list {
		if g.IsEmpty(execution.OutputParams) {
			continue // 空数据直接过滤，不参与编号、不展示
		}
		validList = append(validList, execution)
	}

	// 给有效记录分配【时间倒序编号】（最新=1）
	totalValid := len(validList)
	for idx, execution := range validList {
		executionNumber[execution.Id] = totalValid - idx
	}

	// 2. 分组映射：日期 -> 流程节点
	type flowWrap struct {
		flowNode  flowDto.FlowNode
		createdAt *gtime.Time
	}
	dateMap := make(map[string]*[]flowWrap)

	// 遍历【有效数据】构建结构
	for _, execution := range validList {
		createDate := execution.CreatedAt.Format("Y-m-d")
		flowName := execution.FlowName
		outputParams := execution.OutputParams

		// 编号只算有效数据，不会把空的算进去
		num := executionNumber[execution.Id]
		displayFlowName := fmt.Sprintf("会话-%d(%s)", num, flowName)

		// 3. 解析 outputParams
		var tempItems []flowDto.OutputItem
		for _, paramMap := range outputParams {
			for tsKey, value := range paramMap {
				if _, err := strconv.ParseInt(tsKey, 10, 64); err != nil {
					continue
				}
				tempItems = append(tempItems, flowDto.OutputItem{
					Timestamp: tsKey,
					Content:   gconv.String(value),
				})
			}
		}

		// ===================== 修复1：如果解析后依然为空，直接跳过，不生成第二层节点 =====================
		if len(tempItems) == 0 {
			continue
		}

		// 时间戳正序
		sort.Slice(tempItems, func(i, j int) bool {
			t1, _ := strconv.ParseInt(tempItems[i].Timestamp, 10, 64)
			t2, _ := strconv.ParseInt(tempItems[j].Timestamp, 10, 64)
			return t1 < t2
		})

		// 标号：相同类型递增，不同重置
		suffixCount := make(map[string]int)
		for idx := range tempItems {
			item := &tempItems[idx]
			val := item.Content
			suffix := "内容"
			ext := ""
			ext = GetFileTypeByPath(val)
			if ext == "image" {
				suffix = "图片"
			}
			if ext == "video" {
				suffix = "视频"
			}
			if ext == "audio" {
				suffix = "音频"
			}
			if ext == "text" {
				suffix = "文案"
			}
			if ext == "html" {
				suffix = "HTML"
			}
			suffixCount[suffix]++
			item.Type = ext
			item.Label = fmt.Sprintf("%s_%d", suffix, suffixCount[suffix])
		}

		// 组装节点
		flowNode := flowDto.FlowNode{
			FlowName:  displayFlowName,
			Id:        execution.Id,
			SessionId: gconv.String(execution.SessionId),
			Items:     tempItems,
		}

		if dateMap[createDate] == nil {
			dateMap[createDate] = &[]flowWrap{}
		}
		*dateMap[createDate] = append(*dateMap[createDate], flowWrap{
			flowNode:  flowNode,
			createdAt: execution.CreatedAt,
		})
	}

	// 6. 构建树 + 排序
	var tree []flowDto.DateNode
	for date, wraps := range dateMap {
		// 第二层按创建时间倒序（最新在前）
		sort.Slice(*wraps, func(i, j int) bool {
			return (*wraps)[i].createdAt.After((*wraps)[j].createdAt)
		})

		var flowNodes []flowDto.FlowNode
		for _, w := range *wraps {
			flowNodes = append(flowNodes, w.flowNode)
		}

		// ===================== 修复2：日期下没有流程，也过滤掉 =====================
		if len(flowNodes) == 0 {
			continue
		}

		tree = append(tree, flowDto.DateNode{
			CreateDate: date,
			Flows:      flowNodes,
		})
	}

	// 第一层日期倒序
	sort.Slice(tree, func(i, j int) bool {
		return tree[i].CreateDate > tree[j].CreateDate
	})

	imgPrefix, err := utils.GetFileAddressPrefix(ctx)
	return &flowDto.ListFlowExecutionTreeRes{
		Tree:             tree,
		ImgAddressPrefix: imgPrefix,
	}, nil
}

// ComposeCallback 提示词回调接口
func (s *flowExecutionService) ComposeCallback(ctx context.Context, req *flowDto.ComposeCallbackReq) (err error) {
	Notify(req.TaskId, req)
	return nil
}

// ModelCallback 模型回调接口
func (s *flowExecutionService) ModelCallback(ctx context.Context, req *flowDto.ModelCallbackReq) (err error) {
	// 唤醒等待的任务
	Notify(req.TaskId, req)
	return nil
}

// VideoCallback 视频拼接回调接口
func (s *flowExecutionService) VideoCallback(ctx context.Context, req *flowDto.VideoCallbackReq) (err error) {
	// 唤醒等待的任务
	Notify(req.TaskId, req)
	return nil
}

// HttpNodeCallback http节点回调接口
func (s *flowExecutionService) HttpNodeCallback(ctx context.Context) (err error) {
	r := g.RequestFromCtx(ctx)
	taskId := r.Get("task_id").String()
	Notify(taskId, r)
	return nil
}

// ===================== 核心改造：替换为 sync.Map 存储取消上下文 =====================
var (
	// cancelMap: traceID -> context.CancelFunc
	cancelMap sync.Map
)

func (s *flowExecutionService) Cancel(ctx context.Context, req *flowDto.CancelReq) (err error) {
	getRes, err := flowDao.FlowExecutionDao.Get(ctx, &flowDto.GetFlowExecutionReq{
		SessionId: req.SessionId,
	})
	if err != nil {
		return err
	}
	if g.IsEmpty(getRes) {
		return fmt.Errorf("会话[%s] 不存在", req.SessionId)
	}
	// 从 sync.Map 获取取消函数
	cancelVal, exist := cancelMap.Load(getRes.TraceId)
	if !exist {
		return fmt.Errorf("traceID[%s] 不存在或已执行完成", getRes.TraceId)
	}

	// 执行取消
	cancel, ok := cancelVal.(context.CancelFunc)
	if !ok {
		return fmt.Errorf("traceID[%s] 对应的取消函数类型错误", getRes.TraceId)
	}
	cancel()

	// 取消后清理（可选：也可以在流程结束时统一清理）
	cancelMap.Delete(getRes.TraceId)

	// 同步更新流程执行状态为已取消
	_, err = flowDao.FlowExecutionDao.Update(ctx, &flowDto.UpdateFlowExecutionReq{
		Id:     getRes.Id,
		Status: flow.FlowExecutionStatusCancel.Code(),
	})
	if err != nil {
		return fmt.Errorf("更新取消状态失败: %v", err)
	}

	return nil
}

func (s *flowExecutionService) Execute(ctx context.Context, req *flowDto.ExecuteReq) (res *flowDto.ExecuteRes, err error) {
	// ===================== 核心改造1：创建可取消的上下文 =====================
	execCtx, cancel := context.WithCancel(ctx)
	traceId := ""
	defer func() {
		// 流程结束（成功/失败）时清理 cancelMap
		if traceId != "" {
			cancelMap.Delete(traceId)
		}
		cancel()
	}()

	flowInfo, err := flowDao.FlowExecutionDao.Get(ctx, &flowDto.GetFlowExecutionReq{
		SessionId: req.SessionId,
	})
	if err != nil {
		return
	}
	var executionId int64
	var isDialogue bool
	var nodeGroupId = uuid.NewString()
	if flowInfo == nil {
		isDialogue = false
		var r = new(flowDto.CreateFlowExecutionReq)
		r.FlowUserId = req.FlowId
		r.FlowName = req.FlowName
		r.NodeGroupId = nodeGroupId
		r.TriggerType = flow.FlowExecutionTriggerTypeManual.Code()
		r.FlowContent = req.FlowContent
		r.NodeInputParams = req.NodeInputParams
		r.SessionId = req.SessionId
		r.Status = flow.FlowExecutionStatusRunning.Code()
		span := trace.SpanFromContext(ctx)
		if span != nil && span.SpanContext().HasTraceID() {
			r.TraceId = span.SpanContext().TraceID().String()
			traceId = r.TraceId
			cancelMap.Store(traceId, cancel)
		}
		executionId, err = flowDao.FlowExecutionDao.Insert(ctx, r)
		if err != nil {
			return
		}
	} else {
		isDialogue = true
		executionId = flowInfo.Id
		span := trace.SpanFromContext(ctx)
		if span != nil && span.SpanContext().HasTraceID() {
			traceId = span.SpanContext().TraceID().String()
			cancelMap.Store(traceId, cancel)
		}
		executionReq := flowDto.UpdateFlowExecutionReq{
			Id:          executionId,
			NodeGroupId: nodeGroupId,
			Status:      flow.FlowExecutionStatusRunning.Code(),
			TraceId:     traceId,
		}
		_, err = flowDao.FlowExecutionDao.Update(ctx, &executionReq)
		if err != nil {
			return
		}
	}

	if !g.IsEmpty(req.FileUrl) {
		createFileTempReq := make([]*fileDto.CreateFileTempReq, 0, len(req.FileUrl))
		for _, fileUrl := range req.FileUrl {
			var createReq = new(fileDto.CreateFileTempReq)
			createReq.BusinessId = req.SessionId
			createReq.FileUrl = fileUrl
			createFileTempReq = append(createFileTempReq, createReq)
		}
		_, err = fileDao.FileTempDao.BatchInsert(ctx, createFileTempReq)
		if err != nil {
			return nil, err
		}
	}

	if isDialogue && !g.IsEmpty(flowInfo) && !g.IsEmpty(req.ResultUrl) {
		req.NodeGroupId = nodeGroupId
		if strings.HasSuffix(gconv.String(req.ResultUrl), ".inc") {
			err = TextModelSingleLambda(ctx, req, flowInfo)
			return
		} else if strings.HasSuffix(gconv.String(req.ResultUrl), ".png") {
			err = ImgModelSingleLambda(ctx, req, flowInfo)
			return
		} else if strings.HasSuffix(gconv.String(req.ResultUrl), ".html") {
			err = TextImgModelSingleLambda(ctx, req, flowInfo)
			return
		}
		return nil, errors.New("文件格式不支持")
	}
	// =========================================================================
	// ✅【第2步】构建执行图
	// =========================================================================
	var nodeList []entity.FlowNode
	var runGraph compose.Runnable[any, any]
	nodeList, runGraph, err = BuildGraphFromFlowContent(execCtx, req.FlowContent)
	if err != nil {
		executionReq := flowDto.UpdateFlowExecutionReq{
			Id:           executionId,
			Status:       flow.FlowExecutionStatusFailed.Code(),
			ErrorMessage: err.Error(),
		}
		_, err1 := flowDao.FlowExecutionDao.Update(ctx, &executionReq)
		if err1 != nil {
			return
		}
		return nil, fmt.Errorf("执行工作流失败: %v", err)
	}
	// =========================================================================
	// ✅【第3步】构建 ConfigMap
	// =========================================================================
	configMap := make(map[string]*entity.FlowNode)
	for _, cfg := range req.NodeInputParams {
		configMap[cfg.Id] = cfg
	}
	for _, i := range nodeList {
		configMap[i.Id] = &i
	}
	// =========================================================================
	// ✅【第4步】构建全局执行入参（现在 schemaMap 是有值的！）
	// =========================================================================
	execInput := &flowDto.FlowExecutionInput{
		NodeGroupId: nodeGroupId,
		IsDialogue:  isDialogue,
		ExecutionId: executionId,
		ConfigMap:   configMap,
		SessionId:   req.SessionId,
		Desc:        req.Desc,
		SkillName:   req.SkillName,
		FileUrl:     req.FileUrl,
	}
	// 执行工作流
	_, err = runGraph.Invoke(execCtx, execInput)
	if err != nil {
		// 检测是否是取消导致的错误
		if errors.Is(execCtx.Err(), context.Canceled) {
			executionReq := flowDto.UpdateFlowExecutionReq{
				Id:     executionId,
				Status: flow.FlowExecutionStatusCancel.Code(),
			}
			_, _ = flowDao.FlowExecutionDao.Update(ctx, &executionReq)
			return nil, fmt.Errorf("工作流已被取消: %v", err)
		}
		executionReq := flowDto.UpdateFlowExecutionReq{
			Id:           executionId,
			Status:       flow.FlowExecutionStatusFailed.Code(),
			ErrorMessage: err.Error(),
		}
		_, err1 := flowDao.FlowExecutionDao.Update(ctx, &executionReq)
		if err1 != nil {
			return
		}
		return nil, fmt.Errorf("执行工作流失败: %v", err)
	}
	return
}

// BuildGraphFromFlowContent 根据前端保存的工作流JSON，自动构建执行图
func BuildGraphFromFlowContent(ctx context.Context, flowContent *entity.FlowInfo) ([]entity.FlowNode, compose.Runnable[any, any], error) {
	// 注册自定义合并函数：处理 *flowDto.FlowExecutionInput 类型合并
	// 由于 ConfigMap 是 map 引用类型，所有并行分支修改已经写入共享内存
	// 直接返回第一个实例即可，所有修改都已经可见
	compose.RegisterValuesMergeFunc(func(values []*flowDto.FlowExecutionInput) (*flowDto.FlowExecutionInput, error) {
		if len(values) == 0 {
			return nil, nil
		}
		// 返回第一个实例，ConfigMap 是指针，所有修改都已经写入共享数据结构
		return values[0], nil
	})

	graph := compose.NewGraph[any, any]()

	var nodeList []entity.FlowNode
	nodeId := uuid.NewString()
	originalEndNodes := findEndNodes(flowContent.StartNodeId, flowContent.Edges)
	for i := range originalEndNodes {
		sprintf := fmt.Sprintf("%v_%d", nodeId, i)
		summaryNode := entity.FlowNode{
			Id:          sprintf,
			NodeCode:    node.NodeTypeSystemSum,
			Name:        node.NodeNameSystemSum,
			InputSource: []entity.FlowNodeInputSource{}, // 后续自动聚合所有节点输出
			FormConfig:  nil,
			ModelConfig: node.ModelItem{},
		}
		nodeList = append(nodeList, summaryNode)
		flowContent.Nodes = append(flowContent.Nodes, summaryNode)
	}

	// 注册所有节点
	nodeMap := make(map[string]entity.FlowNode)
	for _, item := range flowContent.Nodes {
		nodeMap[item.Id] = item
		if item.NodeCode != node.NodeTypeJudge {
			registerNodeToGraph(graph, item)
		}
	}

	// 注册所有边
	if flowContent.StartNodeId != "" {
		_ = graph.AddEdge(compose.START, flowContent.StartNodeId)
	}
	for i, endID := range originalEndNodes {
		sprintf := fmt.Sprintf("%v_%d", nodeId, i)
		_ = graph.AddEdge(endID, sprintf)
		_ = graph.AddEdge(sprintf, compose.END)
	}

	// 构建边关系
	upstreamMap := make(map[string][]string)
	edgeMap := make(map[string][]entity.FlowEdge)
	for _, edge := range flowContent.Edges {
		edgeMap[edge.From] = append(edgeMap[edge.From], edge)
		upstreamMap[edge.To] = append(upstreamMap[edge.To], edge.From)
	}

	// 处理连线 & 分支
	for fromNodeID, edges := range edgeMap {
		fromNode := nodeMap[fromNodeID]

		// 判断节点 → 分支处理
		if fromNode.NodeCode == node.NodeTypeJudge {
			branchMap := make(map[string]bool)
			for _, e := range edges {
				branchMap[e.To] = true
			}

			judgeLambda := func(ctx context.Context, input any) (string, error) {
				execInput, ok := input.(*flowDto.FlowExecutionInput)
				if !ok {
					return "", fmt.Errorf("入参类型错误")
				}

				currentConfig := execInput.ConfigMap[fromNodeID]
				if currentConfig == nil {
					return "", fmt.Errorf("判断节点%s无配置", fromNodeID)
				}

				branchIdNameMap := make(map[string]string)
				var branchIDs []string
				for nodeID := range branchMap {
					branchIDs = append(branchIDs, nodeID)
					// 从configMap获取分支节点的名称
					if branchNodeCfg, ok := execInput.ConfigMap[nodeID]; ok {
						branchIdNameMap[nodeID] = branchNodeCfg.Name
					} else {
						branchIdNameMap[nodeID] = "未命名节点" // 兜底
					}
				}

				// 把分支ID-名称映射塞进 ModelConfig，带给意图节点
				m := make(map[string]interface{})
				m["branch_ids"] = branchIDs
				m["branch_id_name_map"] = branchIdNameMap // 传递ID-名称映射
				currentConfig.Config = m

				// 关键修改：构造 NodeExecutionInput 传入 JudgeLambda
				nodeExecInput := &flowDto.NodeExecutionInput{
					Config: currentConfig, // 当前判断节点配置
					Global: execInput,     // 全局执行入参
				}
				return JudgeLambda(ctx, nodeExecInput) // 传入 NodeExecutionInput 类型
			}

			_ = graph.AddBranch(upstreamMap[fromNodeID][0], compose.NewGraphBranch(judgeLambda, branchMap))
			continue
		}

		// 普通节点连线
		for _, e := range edges {
			toNode := nodeMap[e.To]
			if toNode.NodeCode == node.NodeTypeJudge {
				continue
			}
			_ = graph.AddEdge(e.From, e.To)
		}
	}
	compile, err := graph.Compile(ctx, compose.WithGraphName("auto_build_workflow"))
	return nodeList, compile, err
}

// -------------------------- 节点自动注册器（核心分发） --------------------------
func registerNodeToGraph(graph *compose.Graph[any, any], flowNode entity.FlowNode) {
	nodeID := flowNode.Id
	code := flowNode.NodeCode

	// 通用包装：全程入参都是 *FlowExecutionInput
	wrapLambda := func(lambda func(ctx context.Context, input any) (any, error)) func(ctx context.Context, input any) (any, error) {
		return func(ctx context.Context, input any) (any, error) {
			// ✅ 【关键】全程入参类型永远不变
			execInput, ok := input.(*flowDto.FlowExecutionInput)
			if !ok {
				return nil, fmt.Errorf("入参必须是 *FlowExecutionInput, 实际是 %T", input)
			}

			configMap := execInput.ConfigMap
			currentConfig := configMap[nodeID]
			if currentConfig == nil {
				return nil, fmt.Errorf("节点%s无配置", nodeID)
			}

			// 获取入参 - 适配切片类型：遍历所有来源节点
			realInput := new(flowDto.NodeExecutionInput)
			if len(flowNode.InputSource) > 0 { // 改为判断切片长度
				// 遍历所有指定的来源节点，聚合输出结果
				for _, inputSource := range flowNode.InputSource { // 遍历切片
					if sourceConfig, ok := configMap[inputSource.NodeId]; ok {
						currentConfig.OutputResult = append(currentConfig.OutputResult, sourceConfig.OutputResult...)
					}
				}
			}

			// ✅ 封装节点执行入参（配置+表单架构）
			realInput = &flowDto.NodeExecutionInput{
				Config: currentConfig,
				Global: execInput, // ✅ 把【全部节点】的对象直接塞进来
			}
			// ✅ 插入节点执行记录，初始状态为运行中
			startTime := time.Now()

			// 上传OSS（每条独立上传）
			ossResult, err := Upload(ctx, &dto.UploadFileBytesReq{
				FileBytes: gconv.Bytes(gconv.String(realInput)),
				FileName:  fmt.Sprintf("nodeInput:%v.txt", time.Now().UnixMilli()),
			})
			if err != nil {
				return nil, err
			}

			nodeExecutionId, err := nodeDao.NodeExecutionDao.Insert(ctx, &nodeDto.CreateNodeExecutionReq{
				FlowExecutionId: execInput.ExecutionId,
				NodeId:          nodeID,
				NodeName:        flowNode.Name,
				NodeGroupId:     execInput.NodeGroupId,
				InputParamsPath: ossResult.FileURL,
				Status:          node.NodeExecutionStatusRunning.Code(),
			})
			if err != nil {
				// 记录失败到已执行列表
				execInput.ExecutedNodes = append(execInput.ExecutedNodes, flowDto.ExecutedNode{
					NodeId: nodeID,
					Status: node.NodeExecutionStatusFailed.Code(),
				})
				return nil, err
			}
			realInput.NodeExecutionId = nodeExecutionId
			// 执行节点
			_, err = lambda(ctx, realInput)
			durationMs := time.Since(startTime).Milliseconds()
			// 上传OSS（每条独立上传）
			ossResult1, err := Upload(ctx, &dto.UploadFileBytesReq{
				FileBytes: gconv.Bytes(gconv.String(realInput)),
				FileName:  fmt.Sprintf("nodeInput:%v.txt", time.Now().UnixMilli()),
			})
			if err != nil {
				return nil, err
			}
			updateReq := &nodeDto.UpdateNodeExecutionReq{
				Id:               nodeExecutionId,
				OutputParamsPath: ossResult1.FileURL,
				DurationMs:       durationMs,
			}
			if err != nil {
				// 执行失败，更新状态
				updateReq.Status = node.NodeExecutionStatusFailed.Code()
				updateReq.ErrorMessage = err.Error()
				_, _ = nodeDao.NodeExecutionDao.Update(ctx, updateReq)
				// 记录失败到已执行列表
				execInput.ExecutedNodes = append(execInput.ExecutedNodes, flowDto.ExecutedNode{
					NodeId: nodeID,
					Status: node.NodeExecutionStatusFailed.Code(),
				})
				return nil, err
			}

			// 执行成功，更新状态
			updateReq.Status = node.NodeExecutionStatusSuccess.Code()
			_, _ = nodeDao.NodeExecutionDao.Update(ctx, updateReq)
			// 记录成功到已执行列表
			execInput.ExecutedNodes = append(execInput.ExecutedNodes, flowDto.ExecutedNode{
				NodeId: nodeID,
				Status: node.NodeExecutionStatusSuccess.Code(),
			})

			// ✅ 关键：返回整个 execInput，让下一个节点继续用！
			return execInput, nil
		}
	}
	switch code {
	case "__start__":
		_ = graph.AddLambdaNode(nodeID, compose.InvokableLambda(wrapLambda(StartLambda)))
	case node.NodeTypeSystemSum:
		_ = graph.AddLambdaNode(nodeID, compose.InvokableLambda(wrapLambda(SummaryLambda)))
	case node.NodeTypeTextModel:
		_ = graph.AddLambdaNode(nodeID, compose.InvokableLambda(wrapLambda(TextModelLambda)))
	case node.NodeTypeImageModel:
		_ = graph.AddLambdaNode(nodeID, compose.InvokableLambda(wrapLambda(ImageModelLambda)))
	case node.NodeTypeVideoModel:
		_ = graph.AddLambdaNode(nodeID, compose.InvokableLambda(wrapLambda(VideoModelLambda)))
	case node.NodeTypeAudioModel:
		_ = graph.AddLambdaNode(nodeID, compose.InvokableLambda(wrapLambda(AudioModelLambda)))
	case node.NodeTypeBatchModel:
		_ = graph.AddLambdaNode(nodeID, compose.InvokableLambda(wrapLambda(BatchModelLambda)))
	case node.NodeTypeDataConversionModel:
		_ = graph.AddLambdaNode(nodeID, compose.InvokableLambda(wrapLambda(DataConversionLambda)))
	case node.NodeTypeCustomNode:
		_ = graph.AddLambdaNode(nodeID, compose.InvokableLambda(wrapLambda(CustomLambda)))
	case node.NodeTypeForm:
		_ = graph.AddLambdaNode(nodeID, compose.InvokableLambda(wrapLambda(FormLambda)))
	case node.NodeTypeIntent:
		_ = graph.AddLambdaNode(nodeID, compose.InvokableLambda(wrapLambda(IntentLambda)))
	case node.NodeTypeMerge:
		_ = graph.AddLambdaNode(nodeID, compose.InvokableLambda(wrapLambda(MergeLambda)))
	case node.NodeTypeDataMerge:
		_ = graph.AddLambdaNode(nodeID, compose.InvokableLambda(wrapLambda(DataMergeLambda)), compose.WithGraphCompileOptions(compose.WithNodeTriggerMode(compose.AllPredecessor)))
	case node.NodeTypeHttp:
		_ = graph.AddLambdaNode(nodeID, compose.InvokableLambda(wrapLambda(HttpLambda)))
	}
}

func findEndNodes(startNodeId string, edges []entity.FlowEdge) []string {
	nextMap := make(map[string][]string)
	for _, e := range edges {
		nextMap[e.From] = append(nextMap[e.From], e.To)
	}

	endNodeSet := make(map[string]struct{})
	visited := make(map[string]struct{})
	queue := []string{startNodeId}

	for len(queue) > 0 {
		node := queue[0]
		queue = queue[1:]

		if _, exist := visited[node]; exist {
			continue
		}
		visited[node] = struct{}{}

		nextList := nextMap[node]
		if len(nextList) == 0 {
			endNodeSet[node] = struct{}{}
			continue
		}
		queue = append(queue, nextList...)
	}

	res := make([]string, 0, len(endNodeSet))
	for k := range endNodeSet {
		res = append(res, k)
	}
	return res
}