Version: 0.7.0.dev.260319
✨ feat(agent): 新增智能排程 Agent 全链路 + ReAct 精排引擎 🏗️ 智能排程 Graph 编排（阶段 1 基础链路） - 新增 scheduleplan 包：state / tool / prompt / nodes / runner / graph 六件套 - 实现 plan → preview → materialize → apply → reflect → finalize 完整图编排 - 通过函数注入解耦 agent 层与 service 层，避免循环依赖 - 路由层新增 schedule_plan 动作，复用现有 SSE + 持久化链路 🧠 ReAct 精排引擎（阶段 1.5 语义化微调） - 粗排后构建"混合日程"（既有课程 + 建议任务），统一为 HybridScheduleEntry - LLM 开启深度思考，通过 Swap / Move / TimeAvailable / GetAvailableSlots 四个 Tool 在内存中优化任务时间 - reasoning_content 实时流式推送前端，用户可见 AI 思考过程 - 精排结果仅预览不落库，向后兼容（未注入依赖时走原有 materialize 路径） 📝 文档 - 新增 ReAct 精排引擎决策记录 ⚠️ 已知问题：深度思考模式耗时较长，超时策略待优化
This commit is contained in:
Losita
243
backend/agent/scheduleplan/graph.go
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243
backend/agent/scheduleplan/graph.go
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package scheduleplan
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import (
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"context"
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"errors"
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"github.com/cloudwego/eino-ext/components/model/ark"
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"github.com/cloudwego/eino/compose"
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"github.com/cloudwego/eino/schema"
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)
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const (
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// 图节点：意图识别与约束提取
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schedulePlanGraphNodePlan = "schedule_plan_plan"
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// 图节点：调用粗排算法生成候选方案
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schedulePlanGraphNodePreview = "schedule_plan_preview"
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// 图节点：将候选方案转换为可落库结构
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schedulePlanGraphNodeMaterialize = "schedule_plan_materialize"
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// 图节点：执行落库
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schedulePlanGraphNodeApply = "schedule_plan_apply"
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// 图节点：分析失败原因并生成修补方案
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schedulePlanGraphNodeReflect = "schedule_plan_reflect"
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// 图节点：生成最终回复文案
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schedulePlanGraphNodeFinalize = "schedule_plan_finalize"
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// 图节点：退出（用于提前终止分支）
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schedulePlanGraphNodeExit = "schedule_plan_exit"
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// 图节点：构建混合日程（ReAct 精排前置）
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schedulePlanGraphNodeHybridBuild = "schedule_plan_hybrid_build"
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// 图节点：ReAct 精排循环
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schedulePlanGraphNodeReactRefine = "schedule_plan_react_refine"
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// 图节点：返回精排预览结果（不落库）
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schedulePlanGraphNodeReturnPreview = "schedule_plan_return_preview"
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)
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// SchedulePlanGraphRunInput 是运行"智能排程 graph"所需的输入依赖。
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//
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// 说明：
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// 1) EmitStage 可选，用于把节点进度推送给外层（例如 SSE 状态块）；
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// 2) Extra 传递前端附加参数（如 task_class_id）；
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// 3) ChatHistory 用于连续对话微调场景。
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type SchedulePlanGraphRunInput struct {
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Model *ark.ChatModel
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State *SchedulePlanState
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Deps SchedulePlanToolDeps
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UserMessage string
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Extra map[string]any
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ChatHistory []*schema.Message
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EmitStage func(stage, detail string)
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// ── ReAct 精排所需 ──
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OutChan chan<- string // SSE 流式输出通道，用于推送 reasoning_content
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ModelName string // 模型名称，用于构造 OpenAI 兼容 chunk
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}
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// RunSchedulePlanGraph 执行"智能排程"图编排。
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//
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// 图结构：
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//
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// START -> plan -> [branch] -> preview -> [branch] -> materialize -> [branch] -> apply -> [branch]
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// | | | |
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// exit exit exit finalize (成功)
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// |
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// reflect -> [branch] -> apply (重试)
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// |
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// finalize (放弃)
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//
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// 该文件只负责"连线与分支"，节点内部逻辑全部下沉到 nodes.go。
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func RunSchedulePlanGraph(ctx context.Context, input SchedulePlanGraphRunInput) (*SchedulePlanState, error) {
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// 1. 启动前硬校验：模型、状态、依赖缺一不可。
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if input.Model == nil {
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return nil, errors.New("schedule plan graph: model is nil")
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}
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if input.State == nil {
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return nil, errors.New("schedule plan graph: state is nil")
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}
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if err := input.Deps.validate(); err != nil {
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return nil, err
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}
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// 2. 统一封装阶段推送函数，避免各节点反复判空。
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emitStage := func(stage, detail string) {
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if input.EmitStage != nil {
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input.EmitStage(stage, detail)
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}
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}
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// 3. 构造 runner，收口节点依赖。
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runner := newSchedulePlanRunner(
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input.Model,
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input.Deps,
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emitStage,
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input.UserMessage,
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input.Extra,
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input.ChatHistory,
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input.OutChan,
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input.ModelName,
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)
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// 4. 创建状态图容器：输入/输出类型都为 *SchedulePlanState。
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graph := compose.NewGraph[*SchedulePlanState, *SchedulePlanState]()
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// 5. 注册节点。
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if err := graph.AddLambdaNode(schedulePlanGraphNodePlan, compose.InvokableLambda(runner.planNode)); err != nil {
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return nil, err
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}
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if err := graph.AddLambdaNode(schedulePlanGraphNodePreview, compose.InvokableLambda(runner.previewNode)); err != nil {
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return nil, err
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}
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if err := graph.AddLambdaNode(schedulePlanGraphNodeMaterialize, compose.InvokableLambda(runner.materializeNode)); err != nil {
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return nil, err
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}
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if err := graph.AddLambdaNode(schedulePlanGraphNodeApply, compose.InvokableLambda(runner.applyNode)); err != nil {
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return nil, err
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}
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if err := graph.AddLambdaNode(schedulePlanGraphNodeReflect, compose.InvokableLambda(runner.reflectNode)); err != nil {
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return nil, err
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}
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if err := graph.AddLambdaNode(schedulePlanGraphNodeFinalize, compose.InvokableLambda(runner.finalizeNode)); err != nil {
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return nil, err
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}
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if err := graph.AddLambdaNode(schedulePlanGraphNodeExit, compose.InvokableLambda(runner.exitNode)); err != nil {
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return nil, err
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}
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if err := graph.AddLambdaNode(schedulePlanGraphNodeHybridBuild, compose.InvokableLambda(runner.hybridBuildNode)); err != nil {
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return nil, err
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}
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if err := graph.AddLambdaNode(schedulePlanGraphNodeReactRefine, compose.InvokableLambda(runner.reactRefineNode)); err != nil {
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return nil, err
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}
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if err := graph.AddLambdaNode(schedulePlanGraphNodeReturnPreview, compose.InvokableLambda(runner.returnPreviewNode)); err != nil {
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return nil, err
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}
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// ── 连线 ──
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// 6. START -> plan
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if err := graph.AddEdge(compose.START, schedulePlanGraphNodePlan); err != nil {
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return nil, err
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}
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// 7. plan -> [branch] -> preview | exit
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if err := graph.AddBranch(schedulePlanGraphNodePlan, compose.NewGraphBranch(
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runner.nextAfterPlan,
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map[string]bool{
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schedulePlanGraphNodePreview: true,
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schedulePlanGraphNodeExit: true,
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},
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)); err != nil {
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return nil, err
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}
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// 8. preview -> [branch] -> hybridBuild | materialize | exit
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if err := graph.AddBranch(schedulePlanGraphNodePreview, compose.NewGraphBranch(
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runner.nextAfterPreview,
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map[string]bool{
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schedulePlanGraphNodeHybridBuild: true,
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schedulePlanGraphNodeMaterialize: true,
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schedulePlanGraphNodeExit: true,
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},
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)); err != nil {
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return nil, err
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}
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// 8.1 hybridBuild -> [branch] -> reactRefine | exit
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if err := graph.AddBranch(schedulePlanGraphNodeHybridBuild, compose.NewGraphBranch(
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runner.nextAfterHybridBuild,
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map[string]bool{
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schedulePlanGraphNodeReactRefine: true,
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schedulePlanGraphNodeExit: true,
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},
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)); err != nil {
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return nil, err
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}
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// 8.2 reactRefine -> returnPreview（固定边）
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if err := graph.AddEdge(schedulePlanGraphNodeReactRefine, schedulePlanGraphNodeReturnPreview); err != nil {
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return nil, err
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}
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// 8.3 returnPreview -> END
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if err := graph.AddEdge(schedulePlanGraphNodeReturnPreview, compose.END); err != nil {
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return nil, err
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}
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// 9. materialize -> [branch] -> apply | exit
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if err := graph.AddBranch(schedulePlanGraphNodeMaterialize, compose.NewGraphBranch(
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runner.nextAfterMaterialize,
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map[string]bool{
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schedulePlanGraphNodeApply: true,
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schedulePlanGraphNodeExit: true,
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},
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)); err != nil {
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return nil, err
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}
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// 10. apply -> [branch] -> finalize | reflect
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if err := graph.AddBranch(schedulePlanGraphNodeApply, compose.NewGraphBranch(
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runner.nextAfterApply,
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map[string]bool{
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schedulePlanGraphNodeFinalize: true,
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schedulePlanGraphNodeReflect: true,
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},
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)); err != nil {
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return nil, err
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}
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// 11. reflect -> [branch] -> apply (重试) | finalize (放弃)
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if err := graph.AddBranch(schedulePlanGraphNodeReflect, compose.NewGraphBranch(
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runner.nextAfterReflect,
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map[string]bool{
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schedulePlanGraphNodeApply: true,
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schedulePlanGraphNodeFinalize: true,
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},
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)); err != nil {
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return nil, err
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}
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// 12. finalize -> END
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if err := graph.AddEdge(schedulePlanGraphNodeFinalize, compose.END); err != nil {
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return nil, err
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}
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// 13. exit -> END
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if err := graph.AddEdge(schedulePlanGraphNodeExit, compose.END); err != nil {
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return nil, err
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}
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// 14. 运行步数上限：原有链路 ~10 步 + ReAct 精排（hybridBuild + reactRefine + returnPreview = 3）。
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// 加余量到 25，防止异常分支导致无限循环。
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maxSteps := 25
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// 15. 编译图得到可执行实例。
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runnable, err := graph.Compile(ctx,
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compose.WithGraphName("SchedulePlanGraph"),
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compose.WithMaxRunSteps(maxSteps),
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compose.WithNodeTriggerMode(compose.AnyPredecessor),
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)
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if err != nil {
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return nil, err
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}
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// 16. 执行图并返回最终状态。
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return runnable.Invoke(ctx, input.State)
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}
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