654 lines
19 KiB
Go
654 lines
19 KiB
Go
package flow
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import (
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"ai-agent/workflow/consts/flow"
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"ai-agent/workflow/consts/node"
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"ai-agent/workflow/consts/public"
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fileDao "ai-agent/workflow/dao/file"
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flowDao "ai-agent/workflow/dao/flow"
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"ai-agent/workflow/model/dto"
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fileDto "ai-agent/workflow/model/dto/file"
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flowDto "ai-agent/workflow/model/dto/flow"
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"context"
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"fmt"
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"strconv"
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"strings"
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"sync"
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"time"
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"gitea.redpowerfuture.com/red-future/common/db/gfdb"
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"gitea.redpowerfuture.com/red-future/common/utils"
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"github.com/gogf/gf/v2/database/gdb"
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"github.com/gogf/gf/v2/frame/g"
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"github.com/gogf/gf/v2/util/gconv"
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)
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func StartLambda(ctx context.Context, input any) (any, error) {
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return input, nil
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}
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func FormLambda(ctx context.Context, input any) (any, error) {
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return input, nil
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}
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func IntentLambda(ctx context.Context, input any) (any, error) {
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return input, nil
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}
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// JudgeLambda 分支判断核心：读取IntentLambda的输出 → 返回目标节点ID做路由
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func JudgeLambda(ctx context.Context, input any) (string, error) {
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nodeInput, ok := input.(*flowDto.NodeExecutionInput)
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if !ok {
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return "", fmt.Errorf("入参类型错误，期望 *flowDto.NodeExecutionInput，实际 %T", input)
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}
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// 1. 直接用你原来的方法（返回两个 map）
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inputMap, outputMap, modelMap := GetNodeContextContent(nodeInput.Global, nodeInput.Config)
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var outputResult []node.NodeFormField
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for _, valueAny := range inputMap {
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if field, ok := valueAny.(node.NodeFormField); ok {
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outputResult = append(outputResult, field)
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}
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}
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for _, valueAny := range outputMap {
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if field, ok := valueAny.(node.NodeFormField); ok {
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outputResult = append(outputResult, field)
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}
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}
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for _, valueAny := range modelMap {
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if field, ok := valueAny.(node.NodeFormField); ok {
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outputResult = append(outputResult, field)
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}
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}
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contextParts := ""
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for _, v := range nodeInput.Config.FormConfig {
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contextParts = fmt.Sprintf("%s,%s:%s", contextParts, v.Label, v.Value)
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}
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if !nodeInput.Global.IsDialogue {
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for _, v := range outputResult {
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contextParts = fmt.Sprintf("%s,%s:%s", contextParts, v.Label, v.Value)
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}
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}
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if !g.IsEmpty(nodeInput.Global.Desc) {
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contextParts = fmt.Sprintf("%s,%s:%s", contextParts, "描述", nodeInput.Global.Desc)
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}
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configMap := gconv.Map(nodeInput.Config.Config)
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ids := gconv.Strings(configMap["branch_ids"])
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branchIdNameMap := gconv.Map(configMap["branch_id_name_map"])
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var branchIdNameLines []string
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for _, id := range ids {
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name := gconv.String(branchIdNameMap[id])
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branchIdNameLines = append(branchIdNameLines, fmt.Sprintf("%s: %s", id, name))
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}
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getIsChatModel, err := GetIsChatModel(ctx)
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if err != nil {
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return "", err
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}
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composeResult, err := GetComposeResult(ctx, 2, getIsChatModel.Model.ModelName, "", "", []map[string]any{{"prompt": strings.Join(branchIdNameLines, "\n")}}, []map[string]any{{"prompt": contextParts}}, nodeInput.Global.FileUrl, nodeInput.Global.SessionId, nodeInput.Config.Id, "判断节点")
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if err != nil {
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return "", err
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}
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if g.IsEmpty(composeResult.TaskId) {
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return "", fmt.Errorf("msg is empty")
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}
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content := ""
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for key, _ := range getIsChatModel.Model.ResponseBody {
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content = gconv.String(composeResult.Messages.Rounds[0][key])
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}
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fmt.Printf("JudgeLambda路由：目标节点ID=%s\n", gconv.String(content))
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return content, nil
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}
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func BatchModelLambda(ctx context.Context, input any) (any, error) {
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nodeInput, ok := input.(*flowDto.NodeExecutionInput)
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if !ok {
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return nil, fmt.Errorf("入参类型错误")
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}
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skillName, from, userFrom := BuildParam(nodeInput)
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reqMap := make([]map[string]any, 0)
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for _, userItem := range userFrom {
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m := gconv.Map(userItem)
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for _, i := range nodeInput.Config.InputSource {
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for _, f := range i.Field {
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val := m[f]
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if !g.IsEmpty(val) {
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if g.NewVar(val).IsSlice() {
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slice := gconv.SliceAny(val)
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for _, item := range slice {
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reqMap = append(reqMap, map[string]any{f: item})
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}
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} else {
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reqMap = append(reqMap, map[string]any{f: val})
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}
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}
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}
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}
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}
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// 结果按索引存放，保证顺序
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res := make([][]node.NodeFormField, len(reqMap))
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var wg sync.WaitGroup
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// 用一个通道标记是否完成
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done := make(chan struct{})
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// 错误只存一个
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var execErr error
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// 并发执行
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for idx, item := range reqMap {
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wg.Add(1)
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go func(idx int, userItem map[string]any) {
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defer wg.Done()
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singleUserFrom := []map[string]any{userItem}
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output, err := TextNode(ctx, nodeInput, skillName, from, singleUserFrom)
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if err != nil {
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// 并发安全赋值错误
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if execErr == nil {
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execErr = err
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}
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return
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}
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// 直接按原索引写，顺序绝对正确
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res[idx] = output
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}(idx, item)
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}
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// 后台等待所有协程完成，然后关闭 done 通道
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go func() {
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wg.Wait()
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close(done)
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}()
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// 等待全部完成
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<-done
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// 如果有错误，直接返回
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if execErr != nil {
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return nil, execErr
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}
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// 全局自增 i
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var globalIndex int
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var outputRes []node.NodeFormField
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for _, items := range res {
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for _, item := range items {
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// 1. 拿到原来的 Field：例如 "text_content:2:0"
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oldField := item.Field
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// 2. 找到最后一个 : 的位置
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if idx := strings.LastIndex(oldField, ":"); idx != -1 {
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// 3. 截断前面部分，拼接上新的 globalIndex
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item.Field = oldField[:idx+1] + fmt.Sprint(globalIndex)
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}
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// Label 同理
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oldLabel := item.Label
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if idx := strings.LastIndex(oldLabel, ":"); idx != -1 {
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item.Label = oldLabel[:idx+1] + fmt.Sprint(globalIndex)
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}
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outputRes = append(outputRes, item)
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}
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globalIndex++
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}
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nodeInput.Config.OutputResult = outputRes
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return nodeInput, nil
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}
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// TextModelLambda 构建文案
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func TextModelLambda(ctx context.Context, input any) (any, error) {
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nodeInput, ok := input.(*flowDto.NodeExecutionInput)
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if !ok {
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return nil, fmt.Errorf("入参类型错误")
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}
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skillName, from, userFrom := BuildParam(nodeInput)
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outputRes, err := TextNode(ctx, nodeInput, skillName, from, userFrom)
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if err != nil {
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return nil, err
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}
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nodeInput.Config.OutputResult = outputRes
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return nodeInput, nil
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}
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// ImageModelLambda 构建图片
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func ImageModelLambda(ctx context.Context, input any) (any, error) {
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nodeInput, ok := input.(*flowDto.NodeExecutionInput)
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if !ok {
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return nil, fmt.Errorf("入参类型错误")
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}
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skillName, from, userFrom := BuildParam(nodeInput)
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outputRes, err := ImgNode(ctx, nodeInput, skillName, from, userFrom)
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if err != nil {
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return nil, err
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}
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nodeInput.Config.OutputResult = outputRes
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return nodeInput, nil
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}
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// AudioModelLambda 构建音频
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func AudioModelLambda(ctx context.Context, input any) (any, error) {
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nodeInput, ok := input.(*flowDto.NodeExecutionInput)
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if !ok {
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return nil, fmt.Errorf("入参类型错误")
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}
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skillName, from, userFrom := BuildParam(nodeInput)
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outputRes, err := AudioOptimizeNode(ctx, nodeInput, skillName, from, userFrom)
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if err != nil {
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return nil, err
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}
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nodeInput.Config.OutputResult = outputRes
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return nodeInput, nil
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}
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// VideoModelLambda 构建视频
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func VideoModelLambda(ctx context.Context, input any) (any, error) {
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nodeInput, ok := input.(*flowDto.NodeExecutionInput)
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if !ok {
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return nil, fmt.Errorf("入参类型错误")
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}
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skillName, from, userFrom := BuildParam(nodeInput)
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res, err := VideoOptimizeNode(ctx, nodeInput, skillName, from, userFrom)
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if err != nil {
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return nil, err
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}
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videoURL := make([]string, 0)
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for _, v := range res {
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if strings.Contains(v.Field, "content") {
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videoURL = append(videoURL, gconv.String(v.Value))
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}
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}
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if g.IsEmpty(videoURL) {
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return nil, fmt.Errorf("视频合成失败:模型生成视频失败")
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}
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waitRes, err := VideoConcat(ctx, videoURL)
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if err != nil {
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return nil, err
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}
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msg := new(flowDto.VideoCallbackReq)
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if err = gconv.Struct(waitRes, msg); err != nil {
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return nil, err
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}
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urlPrefix, err := utils.GetFileAddressPrefix(ctx)
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if err != nil {
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return nil, err
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}
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outputRes := make([]node.NodeFormField, 0)
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if nodeInput.Config.IsSaveFile {
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outputRes = append(outputRes, node.NodeFormField{
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Field: fmt.Sprintf("video_oss_url:content:%d", 0),
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Value: msg.FileURL,
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Label: fmt.Sprintf("video_oss_url:content:%d", 0),
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Type: "string",
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})
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} else {
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outputRes = append(outputRes, node.NodeFormField{
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Field: fmt.Sprintf("concat_video_url:content:%d", 0),
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Value: urlPrefix + msg.FileURL,
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Label: fmt.Sprintf("concat_video_url:content:%d", 0),
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Type: "string",
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})
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}
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nodeInput.Config.OutputResult = outputRes
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return nodeInput, nil
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}
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// HttpLambda 构建HTTP(S)接口
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func HttpLambda(ctx context.Context, input any) (any, error) {
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nodeInput, ok := input.(*flowDto.NodeExecutionInput)
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if !ok {
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return nil, fmt.Errorf("入参类型错误")
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}
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outputRes := make([]node.NodeFormField, 0)
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var err error
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outputRes, err = HttpNode(ctx, nodeInput)
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if err != nil {
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return nil, err
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}
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nodeInput.Config.OutputResult = outputRes
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return nodeInput, nil
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}
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// DataConversionLambda 构建数据转换
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func DataConversionLambda(ctx context.Context, input any) (any, error) {
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nodeInput, ok := input.(*flowDto.NodeExecutionInput)
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if !ok {
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return nil, fmt.Errorf("入参类型错误")
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}
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skillName, from, userFrom := BuildParam(nodeInput)
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outputRes, err := DataConversionNode(ctx, nodeInput, skillName, from, userFrom)
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if err != nil {
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return nil, err
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}
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nodeInput.Config.OutputResult = outputRes
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return nodeInput, nil
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}
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func DataMergeLambda(ctx context.Context, input any) (res any, err error) {
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nodeInput, ok := input.(*flowDto.NodeExecutionInput)
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if !ok {
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return nil, fmt.Errorf("参数合并入参类型错误")
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}
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// var nodeIds []string
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// for _, item := range nodeInput.Config.InputSource {
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// nodeIds = append(nodeIds, item.NodeId)
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// }
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//
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// // 检查是否所有输入节点都执行完成，并且检查是否有节点失败
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// checkAllExecuted := func() (allExecuted bool, hasFailed bool, failedNode string) {
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// executedCount := 0
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// for _, executedNode := range nodeInput.Global.ExecutedNodes {
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// // 检查是否是我们需要的输入节点，并且它失败了
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// for _, targetId := range nodeIds {
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// if executedNode.NodeId == targetId {
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// if executedNode.Status == node.NodeExecutionStatusFailed.Code() {
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// return false, true, targetId
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// }
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// executedCount++
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// break
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// }
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// }
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// }
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// return executedCount == len(nodeIds), false, ""
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// }
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//
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// // 初次检查
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// allExecuted, hasFailed, failedNode := checkAllExecuted()
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// if hasFailed {
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// return nil, fmt.Errorf("输入节点[%s]执行失败", failedNode)
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// }
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//
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// // 如果不是全部都已执行，阻塞等待直到全部完成、上下文取消或有节点失败
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// if !allExecuted {
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// // 轮询检查，每500ms检查一次，依赖ctx超时控制
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// ticker := time.NewTicker(500 * time.Millisecond)
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// defer ticker.Stop()
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//
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// for {
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// select {
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// case <-ctx.Done():
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// // 如果上下文已经取消，说明已有节点报错，直接退出
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// return nil, ctx.Err()
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// case <-ticker.C:
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// // 重新检查所有节点
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// allExecuted, hasFailed, failedNode := checkAllExecuted()
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// if hasFailed {
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// // 有一个输入节点失败，直接退出
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// return nil, fmt.Errorf("输入节点[%s]执行失败", failedNode)
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// }
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// if allExecuted {
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// // 全部执行完成，退出循环继续执行
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// goto allDone
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// }
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//
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// // 再次检查上下文是否已经取消，如果已经取消则立即退出
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// select {
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// case <-ctx.Done():
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// return nil, ctx.Err()
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// default:
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// }
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// }
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// }
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// }
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//allDone:
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//
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// // 最终检查：所有输入节点都成功了吗
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// _, hasFailed, failedNode = checkAllExecuted()
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// if hasFailed {
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// // 有一个输入节点失败，直接退出
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// return nil, fmt.Errorf("输入节点[%s]执行失败", failedNode)
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// }
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//
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// // 构建已执行节点ID的map，方便合并时查找
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// executedMap := make(map[string]*flowDto.ExecutedNode, len(nodeInput.Global.ExecutedNodes))
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// for _, en := range nodeInput.Global.ExecutedNodes {
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// executedMap[en.NodeId] = &en
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// }
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//
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// // 合并所有输入源节点的输出结果
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// for _, inputSource := range nodeInput.Config.InputSource {
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// // 每次循环都检查上下文是否已取消，提前退出
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// select {
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// case <-ctx.Done():
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// return nil, ctx.Err()
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// default:
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// }
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// // 再次检查该节点是否失败
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// if en, ok := executedMap[inputSource.NodeId]; ok && en.Status == node.NodeExecutionStatusFailed.Code() {
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// return nil, fmt.Errorf("输入节点[%s]执行失败", inputSource.NodeId)
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// }
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// sourceNodeConfig := nodeInput.Global.ConfigMap[inputSource.NodeId]
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// if sourceNodeConfig != nil && len(sourceNodeConfig.OutputResult) > 0 {
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// nodeInput.Config.OutputResult = append(nodeInput.Config.OutputResult, sourceNodeConfig.OutputResult...)
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// }
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// }
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return nodeInput, nil
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}
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func MergeLambda(ctx context.Context, input any) (res any, err error) {
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nodeInput, ok := input.(*flowDto.NodeExecutionInput)
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if !ok {
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return nil, fmt.Errorf("汇总节点入参类型错误")
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}
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// 1. 把所有节点输出拍平成 字段名->内容 的map
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dataMap := make(map[string]node.NodeFormField)
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_, outputMap, _ := GetNodeContextContent(nodeInput.Global, nodeInput.Config)
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for _, valueAny := range outputMap {
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field := node.NodeFormField{}
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if field, ok = valueAny.(node.NodeFormField); ok {
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dataMap[field.Field] = field
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}
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}
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// 2. 提取所有文案：text_content_0,1,2...
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var contents []node.NodeFormField
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for i := 0; ; i++ {
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key := fmt.Sprintf("text_content:%d", i)
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val, has := dataMap[key]
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if !has || val.Value == "" {
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break
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}
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contents = append(contents, val)
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}
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// 3. 提取所有图片：image_0,1,2...
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var images []string
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for i := 0; ; i++ {
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key := fmt.Sprintf("img_url:%d", i)
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val, has := dataMap[key]
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if !has || val.Value == "" {
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break
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}
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images = append(images, gconv.String(val.Value))
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}
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// 4. 🔥 核心算法：图片按顺序连续归属给每条文案
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textImgMap := make(map[int][]string) // key:文案下标，value:图片列表
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if len(contents) > 0 && len(images) > 0 {
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||
imgIndex := 0 // 当前用到第几张图片
|
||
totalImg := len(images)
|
||
|
||
for i, item := range contents {
|
||
// 图片已分配完，直接退出
|
||
if imgIndex >= totalImg {
|
||
break
|
||
}
|
||
|
||
// 当前文案需要挂载的图片数量
|
||
needCount := gconv.Int(item.Expand)
|
||
if needCount <= 0 {
|
||
continue
|
||
}
|
||
|
||
var imgList []string
|
||
for imgc := 0; imgc < needCount; imgc++ {
|
||
// 关键：必须判断是否越界
|
||
if imgIndex >= totalImg {
|
||
break
|
||
}
|
||
imgList = append(imgList, images[imgIndex])
|
||
imgIndex++
|
||
}
|
||
|
||
// 有图片才存入 map
|
||
if len(imgList) > 0 {
|
||
textImgMap[i] = imgList
|
||
}
|
||
}
|
||
}
|
||
type Item struct {
|
||
Content string // 文案（可为空）
|
||
Images []string // 图片（可空、可多张）
|
||
}
|
||
|
||
// 🔥 把现有数据转换成通用 Item 列表（支持：纯文案、纯图片、图文任意组合）
|
||
var allItems []Item
|
||
|
||
url, err := utils.GetFileAddressPrefix(ctx)
|
||
if err != nil {
|
||
return nil, err
|
||
}
|
||
// 情况1：有文案 → 按文案条目生成 Item（每条文案+对应图片）
|
||
if len(contents) > 0 {
|
||
for i, val := range contents {
|
||
item := Item{
|
||
Content: url + gconv.String(val.Value), // 文案
|
||
Images: textImgMap[i], // 自动绑定该条目的图片（没有则为空切片）
|
||
}
|
||
allItems = append(allItems, item)
|
||
}
|
||
} else {
|
||
// 情况2：没有文案，只有图片 → 每张/每组图片生成独立 Item（纯图片条目）
|
||
if len(images) > 0 {
|
||
for _, img := range images {
|
||
allItems = append(allItems, Item{
|
||
Content: "",
|
||
Images: []string{img},
|
||
})
|
||
}
|
||
}
|
||
}
|
||
|
||
// 5. 生成多条独立HTML记录（通用方案：任意图文组合，每条独立生成+独立上传）
|
||
var outputRecords []node.NodeFormField
|
||
|
||
// 遍历所有【独立图文条目】 → 每条生成独立HTML、独立上传OSS、独立输出记录
|
||
for idx, item := range allItems {
|
||
// 生成单条HTML
|
||
htmlContent := BuildHtml(item.Content, item.Images)
|
||
outputRecords = append(outputRecords,
|
||
node.NodeFormField{
|
||
Field: fmt.Sprintf("item_html_%d", idx),
|
||
Value: htmlContent,
|
||
Label: fmt.Sprintf("条目%d HTML", idx+1),
|
||
Type: "textarea",
|
||
},
|
||
)
|
||
if nodeInput.Config.IsSaveFile {
|
||
// 上传OSS（每条独立上传）
|
||
fileName := fmt.Sprintf("item_%d_%d.html", idx, time.Now().UnixMilli())
|
||
ossResult, err := Upload(ctx, &dto.UploadFileBytesReq{
|
||
FileBytes: []byte(htmlContent),
|
||
FileName: fileName,
|
||
})
|
||
if err != nil {
|
||
return nil, err
|
||
}
|
||
outputRecords = append(outputRecords,
|
||
node.NodeFormField{
|
||
Field: fmt.Sprintf("item_html_url_%d", idx),
|
||
Value: ossResult.FileURL,
|
||
Label: fmt.Sprintf("条目%d 地址", idx+1),
|
||
Type: "text",
|
||
},
|
||
)
|
||
}
|
||
}
|
||
|
||
// 最终输出多条记录
|
||
nodeInput.Config.OutputResult = outputRecords
|
||
return nodeInput, nil
|
||
}
|
||
|
||
func SummaryLambda(ctx context.Context, input any) (any, error) {
|
||
execInput, ok := input.(*flowDto.NodeExecutionInput)
|
||
if !ok {
|
||
return nil, fmt.Errorf("汇总节点入参类型错误，实际是 %T", input)
|
||
}
|
||
|
||
// 聚合所有已执行节点的输出结果
|
||
var summaryResult []map[string]interface{}
|
||
for _, executedNode := range execInput.Global.ExecutedNodes {
|
||
nodeID := executedNode.NodeId
|
||
nodeConfig := execInput.Global.ConfigMap[nodeID]
|
||
if nodeConfig != nil && len(nodeConfig.OutputResult) > 0 {
|
||
for _, field := range nodeConfig.OutputResult {
|
||
if strings.Contains(field.Field, "http_file_url") || strings.Contains(field.Field, "audio_oss_url") || strings.Contains(field.Field, "video_oss_url") || strings.Contains(field.Field, "item_html_url") || strings.Contains(field.Field, "img_oss_url") || strings.Contains(field.Field, "text_url") {
|
||
// 生成 毫秒时间戳 作为 KEY
|
||
timeKey := strconv.FormatInt(time.Now().UnixMilli(), 10)
|
||
item := make(map[string]interface{})
|
||
item[timeKey] = field.Value
|
||
summaryResult = append(summaryResult, item)
|
||
}
|
||
}
|
||
}
|
||
}
|
||
|
||
// 把汇总结果存入当前节点的输出
|
||
g.Log().Info(ctx, fmt.Sprintf("结果汇总完成，汇总数据：%+v", summaryResult))
|
||
|
||
err := gfdb.DB(ctx, public.DbNameBlackDeacon).Transaction(ctx, func(ctx context.Context, tx gdb.TX) error {
|
||
flowInfo, err := flowDao.FlowExecutionDao.Get(ctx, &flowDto.GetFlowExecutionReq{
|
||
SessionId: execInput.Global.SessionId,
|
||
})
|
||
if err != nil {
|
||
return err
|
||
}
|
||
|
||
executionReq := flowDto.UpdateFlowExecutionReq{
|
||
Id: execInput.Global.ExecutionId,
|
||
Status: flow.FlowExecutionStatusSuccess.Code(),
|
||
OutputParams: summaryResult,
|
||
}
|
||
_, err = flowDao.FlowExecutionDao.Update(ctx, &executionReq)
|
||
|
||
if flowInfo != nil {
|
||
var url string
|
||
url, err = utils.GetFileAddressPrefix(ctx)
|
||
if err != nil {
|
||
return err
|
||
}
|
||
|
||
createFileTempReq := make([]*fileDto.CreateFileTempReq, 0, len(flowInfo.OutputParams))
|
||
for _, fileUrl := range flowInfo.OutputParams {
|
||
m := gconv.Map(fileUrl)
|
||
for _, v := range m {
|
||
var createReq = new(fileDto.CreateFileTempReq)
|
||
createReq.BusinessId = flowInfo.SessionId
|
||
createReq.FileUrl = url + gconv.String(v)
|
||
createFileTempReq = append(createFileTempReq, createReq)
|
||
}
|
||
}
|
||
if len(createFileTempReq) > 0 {
|
||
_, err = fileDao.FileTempDao.BatchInsert(ctx, createFileTempReq)
|
||
if err != nil {
|
||
return err
|
||
}
|
||
}
|
||
}
|
||
return nil
|
||
})
|
||
|
||
return execInput, err
|
||
}
|
||
|
||
// CustomLambda 构建自定义
|
||
func CustomLambda(ctx context.Context, input any) (any, error) {
|
||
fmt.Println("CustomLambda:", input)
|
||
return input, nil
|
||
}
|