Version: 0.9.75.dev.260505
后端： 1.收口阶段 6 agent 结构迁移，将 newAgent 内核与 agentsvc 编排层迁入 services/agent - 切换 Agent 启动装配与 HTTP handler 直连 agent sv，移除旧 service agent bridge - 补齐 Agent 对 memory、task、task-class、schedule 的 RPC 适配与契约字段 - 扩展 schedule、task、task-class RPC/contract 支撑 Agent 查询、写入与 provider 切流 - 更新迁移文档、README 与相关注释，明确 agent 当前切流点和剩余 memory 迁移面
This commit is contained in:
Losita
394
backend/services/agent/node/rough_build.go
Normal file
394
backend/services/agent/node/rough_build.go
Normal file
@@ -0,0 +1,394 @@
|
||||
package agentnode
|
||||
|
||||
import (
|
||||
"context"
|
||||
"fmt"
|
||||
"log"
|
||||
"strconv"
|
||||
"strings"
|
||||
|
||||
agentmodel "github.com/LoveLosita/smartflow/backend/services/agent/model"
|
||||
agenttools "github.com/LoveLosita/smartflow/backend/services/agent/tools"
|
||||
"github.com/LoveLosita/smartflow/backend/services/agent/tools/schedule"
|
||||
)
|
||||
|
||||
const (
|
||||
roughBuildStageName = "rough_build"
|
||||
roughBuildStatusBlock = "rough_build.status"
|
||||
roughBuildSampleLimit = 3
|
||||
)
|
||||
|
||||
type roughBuildApplyStats struct {
|
||||
AppliedCount int
|
||||
DayMappingMissCount int
|
||||
TaskItemMatchMissCount int
|
||||
DayMappingMissSamples []string
|
||||
TaskItemMatchMissSamples []string
|
||||
}
|
||||
|
||||
// RunRoughBuildNode 执行粗排节点逻辑。
|
||||
//
|
||||
// 步骤说明：
|
||||
// 1. 推送"正在粗排"状态给前端；
|
||||
// 2. 从 CommonState 读取 TaskClassIDs，确认有需要排课的任务类；
|
||||
// 3. 加载 ScheduleState（含 DayMapping）；
|
||||
// 4. 调用 RoughBuildFunc 拿到粗排结果（[]RoughBuildPlacement）；
|
||||
// 5. 把粗排结果写入 ScheduleState，把已落位任务标记为 suggested；
|
||||
// 6. 若粗排后仍存在真实 pending，则写入正式 abort 结果并结束本轮；
|
||||
// 7. 否则按“是否需要粗排后立即微调”分流：
|
||||
// - 无明确微调诉求：直接 Done -> Deliver；
|
||||
// - 有明确微调诉求：进入 Execute。
|
||||
func RunRoughBuildNode(ctx context.Context, st *agentmodel.AgentGraphState) error {
|
||||
if st == nil {
|
||||
return fmt.Errorf("rough build node: state is nil")
|
||||
}
|
||||
|
||||
flowState := st.EnsureFlowState()
|
||||
emitter := st.EnsureChunkEmitter()
|
||||
|
||||
// 1. 推送状态：告知前端进入粗排环节。
|
||||
_ = emitter.EmitStatus(
|
||||
roughBuildStatusBlock,
|
||||
roughBuildStageName,
|
||||
"rough_building",
|
||||
"正在为你生成初始排课方案，请稍候。",
|
||||
true,
|
||||
)
|
||||
|
||||
// 2. 校验依赖。
|
||||
if st.Deps.RoughBuildFunc == nil {
|
||||
return fmt.Errorf("rough build node: RoughBuildFunc 未注入")
|
||||
}
|
||||
|
||||
// 3. 读取任务类 IDs。
|
||||
taskClassIDs := flowState.TaskClassIDs
|
||||
if len(taskClassIDs) == 0 {
|
||||
// 没有任务类 ID 时静默跳过粗排，直接进入执行阶段。
|
||||
flowState.Phase = agentmodel.PhaseExecuting
|
||||
flowState.NeedsRoughBuild = false
|
||||
flowState.NeedsRefineAfterRoughBuild = false
|
||||
return nil
|
||||
}
|
||||
|
||||
// 4. 粗排前强制刷新 ScheduleState，避免复用旧快照窗口。
|
||||
// 4.1 设计意图：当用户做“超前规划”时，窗口必须跟随本轮 task_class_ids，而不是沿用历史“当前周”窗口。
|
||||
// 4.2 做法：主动丢弃内存中的旧 state，让 EnsureScheduleState 走 provider 重新加载。
|
||||
// 4.3 失败策略：若任务类缺少有效起止日期，provider 会返回错误，由上层统一透传并让用户补齐字段。
|
||||
st.ScheduleState = nil
|
||||
st.OriginalScheduleState = nil
|
||||
|
||||
// 5. 加载 ScheduleState（含 DayMapping，用于坐标转换）。
|
||||
scheduleState, err := st.EnsureScheduleState(ctx)
|
||||
if err != nil {
|
||||
// 1. 当任务类时间窗缺失时，按“可恢复失败”收口：提示用户先补齐起止日期，再重试粗排。
|
||||
// 2. 不把这类输入缺失上抛为系统错误，避免整条链路直接 fallback 到普通聊天。
|
||||
if strings.Contains(err.Error(), "任务类缺少有效时间窗") {
|
||||
failureMessage := "开始智能编排前，我需要任务类的起止日期（start_date / end_date）。请先补齐时间窗，再让我继续排课。"
|
||||
_ = emitter.EmitStatus(
|
||||
roughBuildStatusBlock,
|
||||
roughBuildStageName,
|
||||
"rough_build_need_time_window",
|
||||
failureMessage,
|
||||
true,
|
||||
)
|
||||
flowState.NeedsRoughBuild = false
|
||||
flowState.Abort(
|
||||
roughBuildStageName,
|
||||
"rough_build_window_missing",
|
||||
failureMessage,
|
||||
err.Error(),
|
||||
)
|
||||
return nil
|
||||
}
|
||||
return fmt.Errorf("rough build node: 加载日程状态失败: %w", err)
|
||||
}
|
||||
if scheduleState == nil {
|
||||
return fmt.Errorf("rough build node: ScheduleState 为空，无法执行粗排")
|
||||
}
|
||||
|
||||
// 6. 调用粗排算法。
|
||||
placements, err := st.Deps.RoughBuildFunc(ctx, flowState.UserID, taskClassIDs)
|
||||
if err != nil {
|
||||
return fmt.Errorf("rough build node: 粗排算法失败: %w", err)
|
||||
}
|
||||
|
||||
// 7. 把粗排结果写入 ScheduleState。
|
||||
applyStats := applyRoughBuildPlacements(scheduleState, placements)
|
||||
|
||||
// 7.1 标记本轮产生过日程变更，供 deliver 节点判断是否推送“排程完毕”卡片。
|
||||
if applyStats.AppliedCount > 0 {
|
||||
flowState.HasScheduleChanges = true
|
||||
}
|
||||
|
||||
// 8. 先校验粗排后是否仍有真实 pending。
|
||||
stillPending := countPendingTasks(scheduleState, taskClassIDs)
|
||||
log.Printf(
|
||||
"[DEBUG] rough_build scope_task_classes=%v placements=%d applied=%d day_mapping_miss=%d task_item_match_miss=%d pending_in_scope=%d total_tasks=%d window_days=%d",
|
||||
taskClassIDs,
|
||||
len(placements),
|
||||
applyStats.AppliedCount,
|
||||
applyStats.DayMappingMissCount,
|
||||
applyStats.TaskItemMatchMissCount,
|
||||
stillPending,
|
||||
len(scheduleState.Tasks),
|
||||
len(scheduleState.Window.DayMapping),
|
||||
)
|
||||
if applyStats.DayMappingMissCount > 0 {
|
||||
log.Printf(
|
||||
"[DEBUG] rough_build day_mapping_miss_samples=%v window=%s",
|
||||
applyStats.DayMappingMissSamples,
|
||||
summarizeRoughBuildWindow(scheduleState),
|
||||
)
|
||||
}
|
||||
if applyStats.TaskItemMatchMissCount > 0 {
|
||||
log.Printf(
|
||||
"[DEBUG] rough_build task_item_match_miss_samples=%v scoped_task_samples=%v",
|
||||
applyStats.TaskItemMatchMissSamples,
|
||||
collectScopedTaskSamples(scheduleState, taskClassIDs),
|
||||
)
|
||||
}
|
||||
if stillPending > 0 {
|
||||
failureMessage := fmt.Sprintf(
|
||||
"初始排课方案构建异常：粗排后仍有 %d 个任务未获得初始落位。按当前规则，本轮不进入微调，请检查粗排算法或任务数据。",
|
||||
stillPending,
|
||||
)
|
||||
_ = emitter.EmitStatus(
|
||||
roughBuildStatusBlock,
|
||||
roughBuildStageName,
|
||||
"rough_build_failed",
|
||||
failureMessage,
|
||||
true,
|
||||
)
|
||||
flowState.NeedsRoughBuild = false
|
||||
flowState.Abort(
|
||||
roughBuildStageName,
|
||||
"rough_build_pending_remaining",
|
||||
failureMessage,
|
||||
fmt.Sprintf("rough build finished with %d real pending tasks remaining", stillPending),
|
||||
)
|
||||
return nil
|
||||
}
|
||||
|
||||
// 8. 计算是否需要“粗排后立即微调”。
|
||||
//
|
||||
// 1. 只在“无计划直执行”链路下应用该止血分流；
|
||||
// 2. 有计划链路依旧进入 execute，避免改变既有 plan->execute 语义；
|
||||
// 3. chat 路由明确标记 needs_refine_after_rough_build=true 时才进微调。
|
||||
shouldRefineAfterRoughBuild := flowState.HasPlan() || flowState.NeedsRefineAfterRoughBuild
|
||||
|
||||
// 9. 推送完成状态（区分“继续微调”与“直接收口”两种路径）。
|
||||
doneStatus := "rough_build_done"
|
||||
doneMessage := fmt.Sprintf("初始排课方案已生成，共 %d 个任务已预排，进入微调阶段。", len(placements))
|
||||
if !shouldRefineAfterRoughBuild {
|
||||
doneStatus = "rough_build_done_no_refine"
|
||||
doneMessage = fmt.Sprintf("初始排课方案已生成，共 %d 个任务已预排。本轮按默认策略先结束；如需优化，请继续告诉我你的偏好。", len(placements))
|
||||
}
|
||||
_ = emitter.EmitStatus(
|
||||
roughBuildStatusBlock,
|
||||
roughBuildStageName,
|
||||
doneStatus,
|
||||
doneMessage,
|
||||
false,
|
||||
)
|
||||
|
||||
// 10. 把粗排完成信息写入 pinned context，让后续节点能拿到一致事实。
|
||||
|
||||
// 构造任务类 ID 字符串，供 pinned block 明确标注，避免 Execute LLM 因找不到 task_class_id 来源而 ask_user。
|
||||
idParts := make([]string, len(taskClassIDs))
|
||||
for i, id := range taskClassIDs {
|
||||
idParts[i] = strconv.Itoa(id)
|
||||
}
|
||||
idStr := strings.Join(idParts, ", ")
|
||||
|
||||
pinnedContent := fmt.Sprintf(
|
||||
"后端已自动运行粗排算法（任务类 ID：[%s]），初始排课方案已写入日程状态（共 %d 个任务已预排）。\n"+
|
||||
"这些预排任务已标记为 suggested，表示“可继续优化的建议落位”，不是待补排任务。\n"+
|
||||
"本轮不需要再调用 place，也无需再次触发粗排。",
|
||||
idStr, len(placements),
|
||||
)
|
||||
if shouldRefineAfterRoughBuild {
|
||||
pinnedContent += "\n请先调用 get_overview 查看整体分布，再使用 move / swap / unplace 微调不合理的位置。"
|
||||
} else {
|
||||
pinnedContent += "\n当前未收到明确微调偏好，流程将先收口；如需进一步优化，请基于本次结果提出调整要求。"
|
||||
}
|
||||
st.EnsureConversationContext().UpsertPinnedBlock(agentmodel.ContextBlock{
|
||||
Key: "rough_build_done",
|
||||
Title: "粗排已完成",
|
||||
Content: pinnedContent,
|
||||
})
|
||||
|
||||
// 11. 清除粗排标记，并按分流结果进入执行或直接收口。
|
||||
//
|
||||
// 1. 无明确微调诉求：直接标记 completed，graph 会路由到 deliver；
|
||||
// 2. 有明确微调诉求：进入 execute 节点继续工具微调；
|
||||
// 3. 无论哪条路径，都要重置粗排相关标记，避免污染后续轮次。
|
||||
flowState.NeedsRoughBuild = false
|
||||
flowState.NeedsRefineAfterRoughBuild = false
|
||||
if !shouldRefineAfterRoughBuild {
|
||||
flowState.ActiveOptimizeOnly = false
|
||||
flowState.Done()
|
||||
return nil
|
||||
}
|
||||
if strings.TrimSpace(flowState.OptimizationMode) == "" {
|
||||
flowState.OptimizationMode = "first_full"
|
||||
}
|
||||
// 1. 仅“粗排后自动进入微调”的链路打开主动优化专用模式。
|
||||
// 2. 该模式会把 execute 裁成 analyze_health + move + swap 的最小工具面，
|
||||
// 迫使 LLM 基于候选做选择，而不是重新全窗乱搜。
|
||||
// 3. 用户后续重开新请求时，会在 CommonState 的重置入口统一清掉这个标记。
|
||||
flowState.ActiveOptimizeOnly = true
|
||||
// 12. 粗排后进入 execute 微调时，补一条一次性 context hook。
|
||||
//
|
||||
// 1. 目的：即使这条链路不回 plan，也能在 execute 首轮拿到建议工具面（analyze + mutation）。
|
||||
// 2. 边界：这里只写“建议激活域/包”，不直接执行 context_tools_add，仍由 execute 按统一入口消费。
|
||||
// 3. 回退：hook 无效时 execute 会自动忽略并清空，不影响主流程。
|
||||
flowState.PendingContextHook = &agentmodel.ContextHook{
|
||||
Domain: agenttools.ToolDomainSchedule,
|
||||
Packs: []string{
|
||||
agenttools.ToolPackAnalyze,
|
||||
agenttools.ToolPackMutation,
|
||||
},
|
||||
Reason: "rough_build_post_refine",
|
||||
}
|
||||
flowState.Phase = agentmodel.PhaseExecuting
|
||||
return nil
|
||||
}
|
||||
|
||||
// countPendingTasks 统计粗排后仍无位置的待安排任务数。
|
||||
//
|
||||
// 说明：
|
||||
// 1. 第一轮修复后，粗排成功会把任务直接标记为 suggested；
|
||||
// 2. 为兼容旧快照，仍按“pending 且 Slots 为空”认定真正未覆盖；
|
||||
// 3. 只要这里仍大于 0，就应视为粗排异常，而不是交给 LLM 补排。
|
||||
func countPendingTasks(state *schedule.ScheduleState, taskClassIDs []int) int {
|
||||
if state == nil {
|
||||
return 0
|
||||
}
|
||||
count := 0
|
||||
for i := range state.Tasks {
|
||||
task := state.Tasks[i]
|
||||
if !schedule.IsPendingTask(task) {
|
||||
continue
|
||||
}
|
||||
if len(taskClassIDs) > 0 && !schedule.IsTaskInRequestedClassScope(task, taskClassIDs) {
|
||||
continue
|
||||
}
|
||||
if schedule.IsPendingTask(task) {
|
||||
count++
|
||||
}
|
||||
}
|
||||
return count
|
||||
}
|
||||
|
||||
// applyRoughBuildPlacements 把粗排结果写入 ScheduleState 对应任务的 Slots。
|
||||
//
|
||||
// 设计说明：
|
||||
// 1. 通过 task_item_id（SourceID）定位任务；
|
||||
// 2. 用 DayMapping 把 (week, dayOfWeek) 转为 day_index；
|
||||
// 3. 对成功落位的任务写入 Slots，并显式标记为 suggested；
|
||||
// 4. suggested 表示“粗排建议位”，后续可用 move/swap/unplace 微调；
|
||||
// 5. 转换失败的条目静默跳过，不中断整体流程。
|
||||
func applyRoughBuildPlacements(
|
||||
state *schedule.ScheduleState,
|
||||
placements []agentmodel.RoughBuildPlacement,
|
||||
) roughBuildApplyStats {
|
||||
stats := roughBuildApplyStats{}
|
||||
if state == nil {
|
||||
return stats
|
||||
}
|
||||
|
||||
taskIndexByItemID := make(map[int][]int)
|
||||
for i := range state.Tasks {
|
||||
task := state.Tasks[i]
|
||||
if task.Source != "task_item" {
|
||||
continue
|
||||
}
|
||||
taskIndexByItemID[task.SourceID] = append(taskIndexByItemID[task.SourceID], i)
|
||||
}
|
||||
|
||||
for _, p := range placements {
|
||||
day, ok := state.WeekDayToDay(p.Week, p.DayOfWeek)
|
||||
if !ok {
|
||||
stats.DayMappingMissCount++
|
||||
stats.DayMappingMissSamples = appendPlacementSample(stats.DayMappingMissSamples, p)
|
||||
continue // DayMapping 里没有对应 day，跳过
|
||||
}
|
||||
|
||||
matched := false
|
||||
for _, index := range taskIndexByItemID[p.TaskItemID] {
|
||||
t := &state.Tasks[index]
|
||||
t.Slots = []schedule.TaskSlot{
|
||||
{Day: day, SlotStart: p.SectionFrom, SlotEnd: p.SectionTo},
|
||||
}
|
||||
t.Status = schedule.TaskStatusSuggested
|
||||
stats.AppliedCount++
|
||||
matched = true
|
||||
break
|
||||
}
|
||||
if !matched {
|
||||
stats.TaskItemMatchMissCount++
|
||||
stats.TaskItemMatchMissSamples = appendPlacementSample(stats.TaskItemMatchMissSamples, p)
|
||||
}
|
||||
}
|
||||
return stats
|
||||
}
|
||||
|
||||
// appendPlacementSample 记录有限数量的 miss 样本，避免 debug 日志爆量。
|
||||
func appendPlacementSample(samples []string, placement agentmodel.RoughBuildPlacement) []string {
|
||||
if len(samples) >= roughBuildSampleLimit {
|
||||
return samples
|
||||
}
|
||||
return append(samples, fmt.Sprintf(
|
||||
"task_item_id=%d week=%d day=%d sections=%d-%d",
|
||||
placement.TaskItemID,
|
||||
placement.Week,
|
||||
placement.DayOfWeek,
|
||||
placement.SectionFrom,
|
||||
placement.SectionTo,
|
||||
))
|
||||
}
|
||||
|
||||
// summarizeRoughBuildWindow 提供 DayMapping 的紧凑摘要，便于判断窗口是否退化到错误周。
|
||||
func summarizeRoughBuildWindow(state *schedule.ScheduleState) string {
|
||||
if state == nil || len(state.Window.DayMapping) == 0 {
|
||||
return "empty"
|
||||
}
|
||||
first := state.Window.DayMapping[0]
|
||||
last := state.Window.DayMapping[len(state.Window.DayMapping)-1]
|
||||
return fmt.Sprintf(
|
||||
"days=%d first=W%dD%d last=W%dD%d",
|
||||
len(state.Window.DayMapping),
|
||||
first.Week,
|
||||
first.DayOfWeek,
|
||||
last.Week,
|
||||
last.DayOfWeek,
|
||||
)
|
||||
}
|
||||
|
||||
// collectScopedTaskSamples 提供当前 state 中可用于匹配的 task_item 样本，便于排查 ID 对不上。
|
||||
func collectScopedTaskSamples(state *schedule.ScheduleState, taskClassIDs []int) []string {
|
||||
if state == nil {
|
||||
return nil
|
||||
}
|
||||
samples := make([]string, 0, roughBuildSampleLimit)
|
||||
for i := range state.Tasks {
|
||||
task := state.Tasks[i]
|
||||
if task.Source != "task_item" {
|
||||
continue
|
||||
}
|
||||
if len(taskClassIDs) > 0 && !schedule.IsTaskInRequestedClassScope(task, taskClassIDs) {
|
||||
continue
|
||||
}
|
||||
samples = append(samples, fmt.Sprintf(
|
||||
"source_id=%d task_class_id=%d status=%s name=%q",
|
||||
task.SourceID,
|
||||
task.TaskClassID,
|
||||
task.Status,
|
||||
task.Name,
|
||||
))
|
||||
if len(samples) >= roughBuildSampleLimit {
|
||||
break
|
||||
}
|
||||
}
|
||||
return samples
|
||||
}
|
||||
Reference in New Issue
Block a user