161 lines
8.4 KiB
Python
161 lines
8.4 KiB
Python
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# ============================================================
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# 订单分解 MRP 首切片（moduleId: domain-mrp, 可重生 ✅）
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# 对标西门子 Opcenter APS 的订单驱动分解：销售订单 → 按 BOM/工艺路线展开 →
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# 自制（进排产引擎）/ 采购建议（缺料 + 前置期倒排）/ 委外建议（外协工序）。
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# 权力等级：order.decompose 为 P1——只产出 DRAFT 建议单（purchaseOrders /
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# outsourceOrders 两张建议表），不改主数据、不改销售订单；
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# 建议单的确认下达（转正式采购/委外）留后续切片（P2/P3）。
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# 幂等：同一订单重复分解会替换其旧 DRAFT 建议，不会堆积重复行。
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# ============================================================
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from __future__ import annotations # 前向类型引用
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import math # 需求量向上取整
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from datetime import datetime # 时间戳
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from typing import Any # 类型标注
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from server.engines.queries import find_bom_items, find_routing_steps # BOM/工艺查询（P0）
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from server.timeutil import add_minutes, fmt_date, fmt_dt, parse_dt # 日期工具
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World = dict[str, Any] # 世界状态类型别名
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# 采购建议的安全缓冲天数（需求日 = 交期 - 前置期 - 缓冲）
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_PURCHASE_BUFFER_DAYS = 1
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def _now() -> str:
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"""当前时间字符串。"""
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return fmt_dt(datetime.now())
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def _ensure_tables(world: World) -> None:
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"""兼容旧世界文件：确保建议表存在（P0 结构自愈，不改业务数据）。"""
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world.setdefault("purchaseOrders", [])
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world.setdefault("outsourceOrders", [])
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def list_mrp(world: World) -> dict[str, Any]:
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"""MRP 建议单投影（P0 只读；订单分解视图数据源）。"""
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_ensure_tables(world)
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return {
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"purchaseOrders": list(world["purchaseOrders"]),
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"outsourceOrders": list(world["outsourceOrders"]),
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}
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def _target_orders(world: World, order_no: str | None) -> list[dict[str, Any]]:
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"""确定分解目标：指定订单号或全部可排产订单（未取消/未完成）。"""
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orders = [so for so in world["salesOrders"] if so["status"] not in ("CANCELLED", "COMPLETED")]
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if order_no:
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orders = [so for so in orders if so["orderNo"].lower() == order_no.lower()]
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if not orders:
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raise ValueError(f"没找到可分解的订单：{order_no}")
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return orders
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def decompose_orders(world: World, next_id, order_no: str | None = None) -> dict[str, Any]:
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"""按 BOM/工艺路线分解订单（P1：只写 DRAFT 建议表）。
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Returns: {orders, make, purchase, outsource} 分解结果摘要（前端/对话共用）。
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"""
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_ensure_tables(world)
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targets = _target_orders(world, order_no)
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target_ids = {so["id"] for so in targets}
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# 幂等：清掉目标订单的旧 DRAFT 建议（已确认的建议保留，后续切片处理）
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world["purchaseOrders"] = [p for p in world["purchaseOrders"]
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if not (p["salesOrderId"] in target_ids and p["status"] == "DRAFT")]
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world["outsourceOrders"] = [o for o in world["outsourceOrders"]
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if not (o["salesOrderId"] in target_ids and o["status"] == "DRAFT")]
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make_rows: list[dict[str, Any]] = [] # 自制部分（进排产）
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purchase_rows: list[dict[str, Any]] = [] # 采购建议
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outsource_rows: list[dict[str, Any]] = [] # 委外建议
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# 逐订单逐明细展开（净需求 = 毛需求 - 库存 - 在途；负数记 0）
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# 简化口径：本切片不做跨订单库存分配（同一物料多订单各自算净需求），后续切片引入分配
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for so in targets:
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for item in so.get("items", []):
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if item["status"] in ("CANCELLED", "COMPLETED"):
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continue
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qty = item["quantity"]
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# ---- 自制：成品本体 → 由排产引擎生成生产订单/工单 ----
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make_rows.append({
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"salesOrderNo": so["orderNo"], "productId": item["productId"],
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"productName": item["productName"], "quantity": qty,
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"note": "由排产引擎生成生产订单与工单",
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})
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# ---- 采购：BOM 展开净需求 ----
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for bi in find_bom_items(world, item["productId"]):
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mat = next(m for m in world["materials"] if m["id"] == bi["materialId"])
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gross = bi["quantity"] * qty # 毛需求
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shortage = gross - mat.get("stock", 0) - mat.get("inTransit", 0) # 净缺口
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if shortage <= 0:
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continue
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lead = mat.get("procurementLeadTime", 0)
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due = parse_dt(so["deliveryDate"] + " 08:00")
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suggest_date = fmt_date(add_minutes(due, -(lead + _PURCHASE_BUFFER_DAYS) * 24 * 60)) # 前置期倒排
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po_id = next_id("purchaseOrder")
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row = {
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"id": po_id,
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"orderNo": f"PUR{po_id:05d}",
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"salesOrderId": so["id"], "salesOrderNo": so["orderNo"],
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"materialId": mat["id"], "materialCode": mat["code"], "materialName": mat["name"],
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"quantity": math.ceil(shortage), "unit": mat["unit"],
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"leadTimeDays": lead,
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"suggestedOrderDate": suggest_date,
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"requiredDate": so["deliveryDate"],
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"isKeyMaterial": bi.get("isKeyMaterial", False),
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"status": "DRAFT", # 建议草稿（下达转正式为后续切片）
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"createdAt": _now(),
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}
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world["purchaseOrders"].append(row)
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purchase_rows.append(row)
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# ---- 委外：外协工艺步骤 ----
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for step in find_routing_steps(world, item["productId"]):
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if not step.get("isExternal", False):
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continue
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op = next((o for o in world["operations"] if o["id"] == step["operationId"]), {})
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oo_id = next_id("outsourceOrder")
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row = {
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"id": oo_id,
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"orderNo": f"OUT{oo_id:05d}",
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"salesOrderId": so["id"], "salesOrderNo": so["orderNo"],
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"productId": item["productId"], "productName": item["productName"],
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"operationId": step["operationId"], "operationName": op.get("name", f"OP#{step['operationId']}"),
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"sequenceNo": step["sequenceNo"],
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"quantity": qty, "unit": item.get("unit", "件"),
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"requiredDate": so["deliveryDate"],
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"status": "DRAFT",
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"createdAt": _now(),
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}
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world["outsourceOrders"].append(row)
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outsource_rows.append(row)
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return {
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"orders": [so["orderNo"] for so in targets],
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"make": make_rows,
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"purchase": purchase_rows,
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"outsource": outsource_rows,
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}
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def summarize_decomposition(result: dict[str, Any]) -> str:
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"""把分解结果压成对话回执文案（页面与对话共用口径）。"""
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lines = [f"已分解 {len(result['orders'])} 张订单（{ '、'.join(result['orders'][:5]) }"
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+ ("…" if len(result["orders"]) > 5 else "") + "）："]
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lines.append(f"· 自制：{len(result['make'])} 项成品 → 执行试排后生成生产订单与工单")
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if result["purchase"]:
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top = "、".join(f"{p['materialName']}×{p['quantity']}" for p in result["purchase"][:4])
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lines.append(f"· 采购建议：{len(result['purchase'])} 条（{top}"
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+ ("…" if len(result["purchase"]) > 4 else "") + "），已按采购前置期倒排建议下单日")
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else:
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lines.append("· 采购建议：0 条（库存与在途可覆盖 BOM 需求）")
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if result["outsource"]:
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top = "、".join(f"{o['productName']}·{o['operationName']}" for o in result["outsource"][:3])
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lines.append(f"· 委外建议：{len(result['outsource'])} 条（{top}"
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+ ("…" if len(result["outsource"]) > 3 else "") + "），来自外协工艺步骤")
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else:
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lines.append("· 委外建议：0 条（工艺路线无外协步骤）")
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lines.append("建议单为草稿，可在订单面板「分解」视图查看；确认下达为后续能力。")
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return "\n".join(lines)
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