package logic import ( "fmt" "github.com/LoveLosita/smartflow/backend/conv" "github.com/LoveLosita/smartflow/backend/model" "github.com/LoveLosita/smartflow/backend/respond" ) type slotStatus int const ( Free slotStatus = iota // 0: 纯空闲 Occupied // 1: 已有课/任务,不可动 Blocked // 2: 用户屏蔽时段 Filler // 3: 水课,允许嵌入 ) type slotNode struct { Status slotStatus EventID uint // 🚀 关键:记录课程 ID,用于识别水课边界 } type grid struct { data map[int]map[int][13]slotNode startWeek int startDay int // 🚀 新增:精确的开始星期 endWeek int endDay int // 🚀 新增:精确的结束星期 } func (g *grid) getNode(w, d, s int) slotNode { if dayMap, ok := g.data[w]; ok { return dayMap[d][s] } return slotNode{Status: Free, EventID: 0} } func (g *grid) setNode(w, d, s int, node slotNode) { if _, ok := g.data[w]; !ok { g.data[w] = make(map[int][13]slotNode) } dayData := g.data[w][d] dayData[s] = node g.data[w][d] = dayData } // 检查是否可用 (Free 或 Filler 且不在 Blocked 时段内) func (g *grid) isAvailable(w, d, s int) bool { node := g.getNode(w, d, s) return node.Status == Free || node.Status == Filler } // countAvailableSlots 统计指定周次范围内所有可用的原子节次总数 func (g *grid) countAvailableSlots(startW, startD, startS int) int { count := 0 for w := startW; w <= g.endWeek; w++ { dayMap, hasData := g.data[w] for d := 1; d <= 7; d++ { // 🚀 头部裁剪:过滤开始日期前的天数 if w == startW && d < startD { continue } // 🚀 尾部裁剪:过滤结束日期后的天数 if w == g.endWeek && d > g.endDay { break } var dayData [13]slotNode if hasData { dayData = dayMap[d] } for s := 1; s <= 12; s++ { // 🚀 头部裁剪:过滤开始节次前的槽位 if w == startW && d == startD && s < startS { continue } // 🚀 尾部裁剪:过滤结束节次后的槽位 if w == g.endWeek && d == g.endDay { break } if dayData[s].Status == Free || dayData[s].Status == Filler { count++ } } } } return count } // FindNextAvailable 从当前时间点开始,按周、天、节次顺序查找下一个可用格子 func (g *grid) FindNextAvailable(currW, currD, currS int) (int, int, int) { // 基础越界检查 if currW > g.endWeek || (currW == g.endWeek && currD > g.endDay) { return -1, -1, -1 } for w := currW; w <= g.endWeek; w++ { dayMap, hasData := g.data[w] for d := 1; d <= 7; d++ { if w == currW && d < currD { continue } if w == g.endWeek && d > g.endDay { break } // 🚀 守住结束天 var dayData [13]slotNode if hasData { dayData = dayMap[d] } for s := 1; s <= 12; s++ { if w == currW && d == currD && s < currS { continue } if w == g.endWeek && d == g.endDay { break } // 🚀 守住结束节 if dayData[s].Status == Free || dayData[s].Status == Filler { return w, d, s } } } } return -1, -1, -1 } func SmartPlanningMainLogic(schedules []model.Schedule, taskClass *model.TaskClass) ([]model.UserWeekSchedule, error) { //1.先构建时间格子 g := buildTimeGrid(schedules, taskClass) //2.根据时间格子和排课策略计算每个任务块的具体安排时间 allocatedItems, err := computeAllocation(g, taskClass.Items, *taskClass.Strategy) if err != nil { return nil, err } //3.把这些时间通过DTO函数回填到涉及周的 UserWeekSchedule 结构中,供前端展示 return conv.PlanningResultToUserWeekSchedules(schedules, allocatedItems), nil } // buildTimeGrid 构建一个时间格子,标记出哪些时间段被占用、哪些被屏蔽、哪些是水课 func buildTimeGrid(schedules []model.Schedule, taskClass *model.TaskClass) *grid { // 🚀 核心修正:获取精确的起始坐标 startW, startD, _ := conv.RealDateToRelativeDate(taskClass.StartDate.Format(conv.DateFormat)) endW, _, _ := conv.RealDateToRelativeDate(taskClass.EndDate.Format(conv.DateFormat)) g := &grid{ data: make(map[int]map[int][13]slotNode), startWeek: startW, startDay: startD, endWeek: endW, } for _, blockIdx := range taskClass.ExcludedSlots { sFrom, sTo := (blockIdx-1)*2+1, blockIdx*2 for w := startW; w <= endW; w++ { for d := 1; d <= 7; d++ { for s := sFrom; s <= sTo; s++ { g.setNode(w, d, s, slotNode{Status: Blocked}) } } } } // 映射日程 (尊重 Blocked 且只处理范围内的数据) for _, s := range schedules { if s.Week >= startW && s.Week <= endW { if g.getNode(s.Week, s.DayOfWeek, s.Section).Status == Blocked { continue } status := Occupied if *taskClass.AllowFillerCourse && s.Event.CanBeEmbedded { status = Filler } g.setNode(s.Week, s.DayOfWeek, s.Section, slotNode{Status: status, EventID: uint(s.EventID)}) } } return g } // computeAllocation 是核心函数,负责根据当前的时间格子状态和排课策略,计算出每个任务块的具体安排时间 func computeAllocation(g *grid, items []model.TaskClassItem, strategy string) ([]model.TaskClassItem, error) { if len(items) == 0 { return items, nil } // 🚀 核心修正 1:获取真正的开始坐标(周、天、节) // 这里假设你已经通过 conv 把 StartDate 换成了 w1, d1, s1 startW := g.startWeek startD := 1 // 建议从 conv 传入具体的 DayOfWeek startS := 1 // 1. 获取可用资源总量 totalAvailable := g.countAvailableSlots(g.startWeek, 1, 1) // 假设每个任务块至少占用 2 个原子槽位 totalRequired := len(items) * 2 // 🚀 核心改进:容量预判 if totalAvailable < totalRequired { // 如果连最基本的坑位都不够,直接报错,不进行任何编排 return nil, respond.TimeNotEnoughForAutoScheduling } // 🚀 核心修正 2:步长改为“逻辑间隔”,不再是物理跳跃 // gap 表示:每两个任务之间,我们要故意空出多少个“可用位” gap := 0 if strategy == "steady" && totalAvailable > totalRequired { gap = (totalAvailable - totalRequired) / (len(items) + 1) } currW, currD, currS := startW, startD, startS lastPlacedIndex := -1 for i := range items { w, d, s := g.FindNextAvailable(currW, currD, currS) if w == -1 || w > g.endWeek { break } node := g.getNode(w, d, s) slotLen := 2 if node.Status == Filler { slotLen = 1 currID := node.EventID for checkS := s + 1; checkS <= 12; checkS++ { if next := g.getNode(w, d, checkS); next.Status == Filler && next.EventID == currID { slotLen++ } else { break } } } endS := s + slotLen - 1 items[i].EmbeddedTime = &model.TargetTime{ SectionFrom: s, SectionTo: endS, Week: w, DayOfWeek: d, } for sec := s; sec <= endS; sec++ { g.setNode(w, d, sec, slotNode{Status: Occupied}) } // 🚀 核心修正 3:基于“可用位”推进指针,而非物理索引 // 我们要在 grid 中向后数出 gap 个可用位置,作为下一个任务的起点 currW, currD, currS = g.skipAvailableSlots(w, d, endS, gap) lastPlacedIndex = i // 记录最后一个成功安放的任务索引 } // 🚀 核心改进:结果完整性校验 if lastPlacedIndex < len(items)-1 { return nil, fmt.Errorf("排程中断:由于时间片碎片化,仅成功安排了 %d/%d 个任务块,请尝试扩充时间范围或删减屏蔽位", lastPlacedIndex+1, len(items)) } return items, nil } // 辅助函数:向后跳过指定数量的可用坑位 func (g *grid) skipAvailableSlots(w, d, s, skipCount int) (int, int, int) { if skipCount <= 0 { // 即使 gap 为 0,也要至少移到下一节 s++ if s > 12 { s = 1 d++ if d > 7 { d = 1 w++ } } return w, d, s } found := 0 currW, currD, currS := w, d, s+1 for currW <= g.endWeek { if currS > 12 { currS = 1 currD++ if currD > 7 { currD = 1 currW++ } continue } if g.isAvailable(currW, currD, currS) { found++ if found > skipCount { return currW, currD, currS } } currS++ } return currW, currD, currS }