HHY
f7a555dd6c
后端: - 客户模块 CRUD+搜索 (api/services/repositories 分层) - 合同模块: FG单号规则/意向单转正式单/订单创建自动快照客户信息 - 优化下料: FFD首递减装箱算法(利用率统计/余料/未排入清单) 前端 (Vue3+TS+Element Plus): - 7页面: 登录/工作台/订单中心/合同/客户/样板库/优化下料 - 自研二维窗型画布渲染器: 解析drawing_data渲染玻璃区域/外框/ 扇开向标记/尺寸标注, 支持缩放平移复位 - 样板库与订单联动(用此样板下单自动带图纸) - axios统一envelope拦截/登录守卫/付费墙提示 工程: - SPA history 回退路由, 构建产物挂载后端 - 全接口回归 6/6 通过
105 lines
3.1 KiB
Python
105 lines
3.1 KiB
Python
"""一维优化下料服务：首递减(FFD)装箱算法，输出切割方案与利用率。
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对齐目标站 optimize1d 语义：输入订单型材需求 + 库存原料，输出每根原料的切割组合。
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"""
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from dataclasses import dataclass, field
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@dataclass
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class BarDemand:
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"""一段型材需求。"""
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length: int # 需求长度(mm)
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qty: int # 数量
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label: str = "" # 用途标签
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@dataclass
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class StockBar:
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"""库存原料。"""
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length: int # 原料长度(mm)
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qty: int # 库存根数
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label: str = ""
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@dataclass
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class CutPiece:
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length: int
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label: str = ""
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@dataclass
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class CutPlan:
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"""一根原料的切割方案。"""
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stock_length: int
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stock_label: str
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pieces: list[CutPiece] = field(default_factory=list)
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waste: int = 0 # 余料浪费
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# 锯口损耗(mm)，每次切割损耗一段
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KERF_DEFAULT = 5
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def optimize_1d(demands: list[BarDemand], stocks: list[StockBar],
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kerf: int = KERF_DEFAULT) -> dict:
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"""首递减装箱：长件优先装入可容纳的原料，输出方案与统计。"""
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# 展开需求并降序
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pieces: list[CutPiece] = []
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for d in demands:
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pieces.extend(CutPiece(length=d.length, label=d.label) for _ in range(max(0, d.qty)))
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pieces.sort(key=lambda p: p.length, reverse=True)
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# 展开库存（可切割长度 = 原料长）
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avail: list[dict] = []
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for s in stocks:
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for _ in range(max(0, s.qty)):
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avail.append({"length": s.length, "label": s.label, "pieces": [], "used": 0})
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unplaced: list[CutPiece] = []
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for piece in pieces:
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# 找第一根装得下的原料（剩余空间 >= 件长 + 锯口）
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placed = False
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for bar in avail:
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remain = bar["length"] - bar["used"]
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cost = piece.length + (kerf if bar["pieces"] else 0)
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if remain >= cost:
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bar["pieces"].append(piece)
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bar["used"] += cost
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placed = True
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break
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if not placed:
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unplaced.append(piece)
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plans = [
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CutPlan(
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stock_length=b["length"],
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stock_label=b["label"],
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pieces=b["pieces"],
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waste=b["length"] - b["used"],
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)
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for b in avail if b["pieces"]
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]
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total_demand = sum(p.length for p in pieces)
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total_stock = sum(p.stock_length for p in plans)
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return {
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"plans": [
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{
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"stock_length": p.stock_length,
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"stock_label": p.stock_label,
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"pieces": [{"length": c.length, "label": c.label} for c in p.pieces],
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"waste": p.waste,
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}
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for p in plans
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],
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"unplaced": [{"length": c.length, "label": c.label} for c in unplaced],
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"stats": {
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"total_pieces": len(pieces),
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"placed_pieces": len(pieces) - len(unplaced),
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"stock_bars_used": len(plans),
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"total_demand_mm": total_demand,
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"total_stock_mm": total_stock,
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"utilization": round(total_demand / total_stock, 4) if total_stock else 0,
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"kerf_mm": kerf,
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},
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}
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