Merge branch 'main' of http://szcjw:10001/cjw/geMoldInsight

# Conflicts:
#	src/api/routes.py
#	src/core/aluminum_foam_mold.py
#	src/core/geometry_analyzer.py
#	src/core/mold_generator.py

.env.example

@@ -41,6 +41,12 @@ SECRET_KEY=your-secret-key-change-in-production-min-32-chars
 ALGORITHM=HS256
 ACCESS_TOKEN_EXPIRE_MINUTES=1440
 
+# 管理员账户配置
+ADMIN_USERNAME=admin
+ADMIN_PASSWORD=change-this-to-a-secure-password
+ADMIN_EMAIL=admin@gemold.com
+ADMIN_FULL_NAME=系统管理员
+
 # FreeCAD 验证配置（可选）
 # 启用后会增加处理时间，默认禁用
 ENABLE_FREECAD_VERIFICATION=false

.gitignore

@@ -16,6 +16,8 @@ __pycache__/
 .DS_Store
 *.log
 .env
+1panel.env
+*.env.local
 logs/
 
 # 运行时生成的目录

config/settings.py

@@ -67,13 +67,17 @@ class Settings:
         self.DB_PASSWORD = db_password
         
         # JWT配置
-        self.SECRET_KEY = os.getenv('SECRET_KEY', 'your-secret-key-change-in-production')
+        self.SECRET_KEY = os.getenv('SECRET_KEY')
+        if not self.SECRET_KEY:
+            raise ValueError("SECRET_KEY 未设置，请在.env文件中配置安全的密钥")
         self.ALGORITHM = os.getenv('ALGORITHM', 'HS256')
         self.ACCESS_TOKEN_EXPIRE_MINUTES = int(os.getenv('ACCESS_TOKEN_EXPIRE_MINUTES', '1440'))
         
         # 管理员账户配置
         self.ADMIN_USERNAME = os.getenv('ADMIN_USERNAME', 'admin')
-        self.ADMIN_PASSWORD = os.getenv('ADMIN_PASSWORD', 'admin123')
+        self.ADMIN_PASSWORD = os.getenv('ADMIN_PASSWORD')
+        if not self.ADMIN_PASSWORD:
+            raise ValueError("ADMIN_PASSWORD 未设置，请在.env文件中配置管理员密码")
         self.ADMIN_EMAIL = os.getenv('ADMIN_EMAIL', 'admin@gemold.com')
         self.ADMIN_FULL_NAME = os.getenv('ADMIN_FULL_NAME', '系统管理员')
         

requirements.txt

@@ -10,7 +10,7 @@
 # 几何处理核心
 # ============================================
 # PythonOCC - CAD几何处理
-# pythonocc-core>=7.7.0
+pythonocc-core>=7.7.0
 # 网格处理
 trimesh>=3.21.0
 # 科学计算

src/api/inventory/finance_routes.py

@@ -4,6 +4,7 @@ from sqlalchemy import select, func
 from sqlalchemy.orm import selectinload
 from typing import Optional, List, Dict, Tuple
 from datetime import datetime
+from decimal import Decimal
 
 from database.database import get_db_session
 from services.auth_service import get_current_active_user
@@ -414,15 +415,15 @@ async def get_finance_summary(
     ) or 0
 
     return FinanceSummaryResponse(
-        receivable_total=round(float(receivable_total), 2),
-        payable_total=round(float(payable_total), 2),
-        monthly_receipt_total=round(float(monthly_receipt_total), 2),
-        monthly_payment_total=round(float(monthly_payment_total), 2),
+        receivable_total=Decimal(str(receivable_total)),
+        payable_total=Decimal(str(payable_total)),
+        monthly_receipt_total=Decimal(str(monthly_receipt_total)),
+        monthly_payment_total=Decimal(str(monthly_payment_total)),
         selected_year=selected_year,
         selected_quarter=selected_quarter,
         period_label=period_label,
-        period_receipt_total=round(float(period_receipt_total), 2),
-        period_payment_total=round(float(period_payment_total), 2),
+        period_receipt_total=Decimal(str(period_receipt_total)),
+        period_payment_total=Decimal(str(period_payment_total)),
         overdue_receivable_count=0,
         overdue_payable_count=0,
     )
@@ -464,9 +465,9 @@ async def get_partner_statement(
                     "outstanding_total": 0.0,
                 },
             )
-            total_amount = float(order.total_amount or 0)
-            settled_amount = float(order.received_amount or 0)
-            outstanding = max(total_amount - settled_amount, 0.0)
+            total_amount = Decimal(str(order.total_amount or 0))
+            settled_amount = Decimal(str(order.received_amount or 0))
+            outstanding = max(total_amount - settled_amount, Decimal("0"))
             partner_stat["order_count"] += 1
             partner_stat["order_total"] += total_amount
             partner_stat["settled_total"] += settled_amount
@@ -495,7 +496,7 @@ async def get_partner_statement(
                 },
             )
             partner_stat["transaction_count"] += 1
-            partner_stat["transaction_total"] += float(txn.amount or 0)
+            partner_stat["transaction_total"] += Decimal(str(txn.amount or 0))
     else:
         order_rows = await db_session.execute(
             select(PurchaseOrder, Supplier)
@@ -518,9 +519,9 @@ async def get_partner_statement(
                     "outstanding_total": 0.0,
                 },
             )
-            total_amount = float(order.total_amount or 0)
-            settled_amount = float(order.paid_amount or 0)
-            outstanding = max(total_amount - settled_amount, 0.0)
+            total_amount = Decimal(str(order.total_amount or 0))
+            settled_amount = Decimal(str(order.paid_amount or 0))
+            outstanding = max(total_amount - settled_amount, Decimal("0"))
             partner_stat["order_count"] += 1
             partner_stat["order_total"] += total_amount
             partner_stat["settled_total"] += settled_amount
@@ -549,7 +550,7 @@ async def get_partner_statement(
                 },
             )
             partner_stat["transaction_count"] += 1
-            partner_stat["transaction_total"] += float(txn.amount or 0)
+            partner_stat["transaction_total"] += Decimal(str(txn.amount or 0))
 
     missing_partner_ids = [pid for pid, item in stats_map.items() if "#" in item["partner_name"]]
     if missing_partner_ids:
@@ -572,10 +573,10 @@ async def get_partner_statement(
             partner_name=item["partner_name"],
             order_count=item["order_count"],
             transaction_count=item["transaction_count"],
-            order_total=round(float(item["order_total"]), 2),
-            settled_total=round(float(item["settled_total"]), 2),
-            transaction_total=round(float(item["transaction_total"]), 2),
-            outstanding_total=round(float(item["outstanding_total"]), 2),
+            order_total=Decimal(str(item["order_total"])),
+            settled_total=Decimal(str(item["settled_total"])),
+            transaction_total=Decimal(str(item["transaction_total"])),
+            outstanding_total=Decimal(str(item["outstanding_total"])),
             period_year=selected_year,
             period_quarter=selected_quarter,
         )
@@ -587,10 +588,10 @@ async def get_partner_statement(
         year=selected_year,
         quarter=selected_quarter,
         period_label=period_label,
-        order_total=round(float(sum(item.order_total for item in items)), 2),
-        settled_total=round(float(sum(item.settled_total for item in items)), 2),
-        transaction_total=round(float(sum(item.transaction_total for item in items)), 2),
-        outstanding_total=round(float(sum(item.outstanding_total for item in items)), 2),
+        order_total=Decimal(str(sum(item.order_total for item in items))),
+        settled_total=Decimal(str(sum(item.settled_total for item in items))),
+        transaction_total=Decimal(str(sum(item.transaction_total for item in items))),
+        outstanding_total=Decimal(str(sum(item.outstanding_total for item in items))),
         items=items,
     )
 
@@ -642,15 +643,15 @@ async def get_partner_product_statement(
                 },
             )
 
-            item_amount = float(item.amount or 0)
-            order_total = float(order.total_amount or 0)
-            order_settled = max(float(order.received_amount or 0), 0.0)
-            ratio = (item_amount / order_total) if order_total > 1e-9 else 0.0
+            item_amount = Decimal(str(item.amount or 0))
+            order_total = Decimal(str(order.total_amount or 0))
+            order_settled = max(Decimal(str(order.received_amount or 0)), Decimal("0"))
+            ratio = (item_amount / order_total) if order_total > Decimal("1e-9") else Decimal("0")
             item_settled = min(item_amount, order_settled * ratio)
-            item_outstanding = max(item_amount - item_settled, 0.0)
+            item_outstanding = max(item_amount - item_settled, Decimal("0"))
 
             stat["order_ids"].add(order.id)
-            stat["order_quantity"] += float(item.quantity or 0)
+            stat["order_quantity"] += Decimal(str(item.quantity or 0))
             stat["order_amount"] += item_amount
             stat["settled_amount"] += item_settled
             stat["outstanding_amount"] += item_outstanding
@@ -686,15 +687,15 @@ async def get_partner_product_statement(
                 },
             )
 
-            item_amount = float(item.amount or 0)
-            order_total = float(order.total_amount or 0)
-            order_settled = max(float(order.paid_amount or 0), 0.0)
-            ratio = (item_amount / order_total) if order_total > 1e-9 else 0.0
+            item_amount = Decimal(str(item.amount or 0))
+            order_total = Decimal(str(order.total_amount or 0))
+            order_settled = max(Decimal(str(order.paid_amount or 0)), Decimal("0"))
+            ratio = (item_amount / order_total) if order_total > Decimal("1e-9") else Decimal("0")
             item_settled = min(item_amount, order_settled * ratio)
-            item_outstanding = max(item_amount - item_settled, 0.0)
+            item_outstanding = max(item_amount - item_settled, Decimal("0"))
 
             stat["order_ids"].add(order.id)
-            stat["order_quantity"] += float(item.quantity or 0)
+            stat["order_quantity"] += Decimal(str(item.quantity or 0))
             stat["order_amount"] += item_amount
             stat["settled_amount"] += item_settled
             stat["outstanding_amount"] += item_outstanding
@@ -707,10 +708,10 @@ async def get_partner_product_statement(
             product_sku=item["product_sku"],
             product_name=item["product_name"],
             order_count=len(item["order_ids"]),
-            order_quantity=round(float(item["order_quantity"]), 2),
-            order_amount=round(float(item["order_amount"]), 2),
-            settled_amount=round(float(item["settled_amount"]), 2),
-            outstanding_amount=round(float(item["outstanding_amount"]), 2),
+            order_quantity=Decimal(str(item["order_quantity"])),
+            order_amount=Decimal(str(item["order_amount"])),
+            settled_amount=Decimal(str(item["settled_amount"])),
+            outstanding_amount=Decimal(str(item["outstanding_amount"])),
             period_year=selected_year,
             period_quarter=selected_quarter,
         )
@@ -727,9 +728,9 @@ async def get_partner_product_statement(
         quarter=selected_quarter,
         period_label=period_label,
         partner_id=partner_id,
-        order_amount_total=round(float(sum(item.order_amount for item in items)), 2),
-        settled_amount_total=round(float(sum(item.settled_amount for item in items)), 2),
-        outstanding_amount_total=round(float(sum(item.outstanding_amount for item in items)), 2),
+        order_amount_total=Decimal(str(sum(item.order_amount for item in items))),
+        settled_amount_total=Decimal(str(sum(item.settled_amount for item in items))),
+        outstanding_amount_total=Decimal(str(sum(item.outstanding_amount for item in items))),
         items=items,
     )
 

src/api/inventory/product_routes.py

@@ -13,6 +13,7 @@ from fastapi import APIRouter, Depends, HTTPException, Query
 from sqlalchemy.ext.asyncio import AsyncSession
 from sqlalchemy import select, or_, func, delete
 from typing import Optional, List, Dict
+from decimal import Decimal
 
 from database.database import get_db_session
 from services.auth_service import get_current_active_user, get_current_admin_user
@@ -45,10 +46,10 @@ async def _calculate_material_cost_map(db_session: AsyncSession, product_ids: Li
         .where(ProductMaterial.finished_product_id.in_(product_ids))
         .group_by(ProductMaterial.finished_product_id)
     )
-    return {row[0]: float(row[1] or 0) for row in result.all()}
+    return {row[0]: Decimal(str(row[1] or 0)) for row in result.all()}
 
 
-def _build_product_response(product: Product, material_cost: float = 0) -> ProductResponse:
+def _build_product_response(product: Product, material_cost: Decimal = Decimal("0")) -> ProductResponse:
     return ProductResponse(
         id=product.id,
         sku=product.sku,
@@ -57,11 +58,11 @@ def _build_product_response(product: Product, material_cost: float = 0) -> Produ
         category=product.category,
         unit=product.unit,
         item_type=product.item_type,
-        cost_price=float(product.cost_price or 0),
-        sale_price=float(product.sale_price or 0),
+        cost_price=Decimal(str(product.cost_price or 0)),
+        sale_price=Decimal(str(product.sale_price or 0)),
         min_stock=product.min_stock,
         max_stock=product.max_stock,
-        material_cost=round(float(material_cost), 4),
+        material_cost=Decimal(str(material_cost)).quantize(Decimal("0.0001")),
         is_active=product.is_active,
         created_at=product.created_at,
     )
@@ -184,25 +185,25 @@ async def get_product_bom(
     )
 
     items: List[ProductMaterialItemResponse] = []
-    total_material_cost = 0.0
+    total_material_cost = Decimal("0")
     for bom, material in bom_result.all():
-        line_cost = float(material.cost_price or 0) * float(bom.quantity)
+        line_cost = Decimal(str(material.cost_price or 0)) * Decimal(str(bom.quantity))
         total_material_cost += line_cost
         items.append(
             ProductMaterialItemResponse(
                 material_id=material.id,
                 material_sku=material.sku,
                 material_name=material.name,
-                quantity=round(float(bom.quantity), 4),
-                unit_cost=round(float(material.cost_price or 0), 4),
-                line_cost=round(float(line_cost), 4),
+                quantity=Decimal(str(bom.quantity)),
+                unit_cost=Decimal(str(material.cost_price or 0)),
+                line_cost=line_cost,
             )
         )
 
     return ProductBOMResponse(
         product_id=product.id,
         product_name=product.name,
-        total_material_cost=round(float(total_material_cost), 4),
+        total_material_cost=total_material_cost,
         items=items,
     )
 

src/api/inventory/purchase_order_routes.py

@@ -12,6 +12,7 @@ from fastapi import APIRouter, Depends, Query, HTTPException
 from sqlalchemy.ext.asyncio import AsyncSession
 from sqlalchemy import select, func
 from typing import Optional, List
+from decimal import Decimal
 
 from database.database import get_db_session
 from services.auth_service import get_current_active_user
@@ -167,8 +168,8 @@ async def _apply_order_items(
                 order_id=order.id,
                 product_id=item_data.product_id,
                 quantity=int(item_data.quantity),
-                unit_price=float(unit_price),
-                amount=float(item_data.quantity) * float(unit_price),
+                unit_price=Decimal(str(unit_price)),
+                amount=Decimal(str(item_data.quantity)) * Decimal(str(unit_price)),
                 remark=item_data.remark or None
             )
             db_session.add(item)
@@ -408,7 +409,7 @@ async def receive_purchase_order(
             reference_id=order.id,
             reference_no=order.order_no,
             unit_price=item.unit_price,
-            total_amount=round(float(item.unit_price * receive_item.receive_quantity), 4),
+            total_amount=Decimal(str(item.unit_price * receive_item.receive_quantity)),
             remark=payload.remark or f"采购单{order.order_no}到货入库",
             operator_id=current_user.id
         )

src/api/inventory/sales_order_routes.py

@@ -14,6 +14,7 @@ from sqlalchemy import select, func, delete, update
 from typing import Optional, List
 from math import ceil
 from pydantic import BaseModel, Field
+from decimal import Decimal
 
 from database.database import get_db_session
 from services.auth_service import get_current_active_user
@@ -58,10 +59,10 @@ def _build_sales_order_response(order: SalesOrder, customer_name: str) -> SalesO
         status=order.status,
         production_status=order.production_status or "not_started",
         production_no=order.production_no,
-        planned_material_cost=round(float(order.planned_material_cost or 0), 4),
-        actual_material_cost=round(float(order.actual_material_cost or 0), 4),
-        total_amount=order.total_amount,
-        received_amount=order.received_amount,
+        planned_material_cost=Decimal(str(order.planned_material_cost or 0)),
+        actual_material_cost=Decimal(str(order.actual_material_cost or 0)),
+        total_amount=Decimal(str(order.total_amount or 0)),
+        received_amount=Decimal(str(order.received_amount or 0)),
         remark=order.remark,
         created_at=order.created_at
     )
@@ -89,10 +90,10 @@ async def _build_sales_order_detail_response(
         status=order.status,
         production_status=order.production_status or "not_started",
         production_no=order.production_no,
-        planned_material_cost=round(float(order.planned_material_cost or 0), 4),
-        actual_material_cost=round(float(order.actual_material_cost or 0), 4),
-        total_amount=order.total_amount,
-        received_amount=order.received_amount,
+        planned_material_cost=Decimal(str(order.planned_material_cost or 0)),
+        actual_material_cost=Decimal(str(order.actual_material_cost or 0)),
+        total_amount=Decimal(str(order.total_amount or 0)),
+        received_amount=Decimal(str(order.received_amount or 0)),
         remark=order.remark,
         created_at=order.created_at,
         items=[
@@ -101,8 +102,8 @@ async def _build_sales_order_detail_response(
                 product_id=item.product_id,
                 quantity=item.quantity,
                 delivered_quantity=item.delivered_quantity,
-                unit_price=item.unit_price,
-                amount=item.amount,
+                unit_price=Decimal(str(item.unit_price or 0)),
+                amount=Decimal(str(item.amount or 0)),
                 remark=item.remark
             ) for item in items
         ]
@@ -152,12 +153,12 @@ async def _build_material_plan(db_session: AsyncSession, order: SalesOrder) -> t
     for order_item in order_items:
         bom_items = bom_by_finished_id.get(int(order_item.product_id)) or []
         for bom, material in bom_items:
-            qty = float(order_item.quantity) * float(bom.quantity or 0) * (1 + float(bom.loss_rate or 0))
-            entry = required_qty_map.setdefault(material.id, {"material": material, "required_qty": 0.0})
+            qty = Decimal(str(order_item.quantity)) * Decimal(str(bom.quantity or 0)) * (1 + Decimal(str(bom.loss_rate or 0)))
+            entry = required_qty_map.setdefault(material.id, {"material": material, "required_qty": Decimal("0")})
             entry["required_qty"] += qty
 
     if not required_qty_map:
-        return [], 0
+        return [], Decimal("0")
 
     material_ids = list(required_qty_map.keys())
     stock_result = await db_session.execute(
@@ -165,28 +166,28 @@ async def _build_material_plan(db_session: AsyncSession, order: SalesOrder) -> t
         .where(Inventory.product_id.in_(material_ids))
         .group_by(Inventory.product_id)
     )
-    stock_map = {row[0]: int(row[1] or 0) for row in stock_result.all()}
+    stock_map = {row[0]: Decimal(str(row[1] or 0)) for row in stock_result.all()}
 
     plan_items = []
-    planned_material_cost = 0.0
+    planned_material_cost = Decimal("0")
     for material_id, entry in required_qty_map.items():
         material = entry["material"]
         required_qty = int(ceil(entry["required_qty"]))
-        available_qty = stock_map.get(material_id, 0)
-        shortage_qty = max(required_qty - available_qty, 0)
-        unit_cost = float(material.cost_price or 0)
-        required_cost = required_qty * unit_cost
+        available_qty = stock_map.get(material_id, Decimal("0"))
+        shortage_qty = max(required_qty - int(available_qty), 0)
+        unit_cost = Decimal(str(material.cost_price or 0))
+        required_cost = Decimal(str(required_qty)) * unit_cost
         planned_material_cost += required_cost
         plan_items.append(
             ProductionMaterialPlanItemResponse(
                 material_id=material.id,
                 material_sku=material.sku,
                 material_name=material.name,
-                required_quantity=required_qty,
+                required_quantity=Decimal(str(required_qty)),
                 available_quantity=available_qty,
-                shortage_quantity=shortage_qty,
-                unit_cost=round(unit_cost, 4),
-                required_cost=round(required_cost, 4),
+                shortage_quantity=Decimal(str(shortage_qty)),
+                unit_cost=unit_cost,
+                required_cost=required_cost,
             )
         )
 
@@ -255,7 +256,7 @@ async def _issue_materials_for_order_creation(
             reference_id=order.id,
             reference_no=production_no,
             unit_price=item.unit_cost,
-            total_amount=round(float(total_amount), 4),
+            total_amount=Decimal(str(total_amount)),
             remark=f"销售单{order.order_no}创建时自动扣减物料",
             operator_id=current_user.id
         )
@@ -264,8 +265,8 @@ async def _issue_materials_for_order_creation(
 
     order.production_no = production_no
     order.production_status = "material_issued"
-    order.planned_material_cost = round(float(planned_material_cost), 4)
-    order.actual_material_cost = round(float(actual_material_cost), 4)
+    order.planned_material_cost = planned_material_cost
+    order.actual_material_cost = actual_material_cost
     order.status = "manufacturing"
 
     return movement_count, planned_material_cost, actual_material_cost
@@ -543,8 +544,10 @@ async def consume_materials(
     """记录销售订单的物料消耗"""
     order, customer = await _get_sales_order_with_customer(db_session, order_id)
     
+    default_warehouse = await _get_default_warehouse(db_session)
+    
     # 计算总物料成本
-    total_cost = 0
+    total_cost = Decimal("0")
     
     # 处理每个物料消耗项
     for item in request.items:
@@ -556,14 +559,14 @@ async def consume_materials(
             raise HTTPException(status_code=400, detail=f"只能消耗物料类型的产品: {material.name}")
         
         # 计算成本
-        cost = material.cost_price * item.quantity
+        cost = Decimal(str(material.cost_price or 0)) * item.quantity
         total_cost += cost
         
         # 更新物料库存
         inventory_result = await db_session.execute(
             select(Inventory)
             .where(Inventory.product_id == material.id)
-            .where(Inventory.warehouse_id == 1)
+            .where(Inventory.warehouse_id == default_warehouse.id)
         )
         inventory = inventory_result.scalar()
         if inventory:
@@ -578,7 +581,7 @@ async def consume_materials(
         # 记录物料消耗
         movement = StockMovement(
             product_id=material.id,
-            warehouse_id=1,  # 默认仓库
+            warehouse_id=default_warehouse.id,
             quantity=-item.quantity,
             before_quantity=before_qty,
             after_quantity=after_qty,
@@ -620,7 +623,7 @@ async def get_sales_order_production_plan(
         order_no=order.order_no,
         customer_name=customer.name,
         production_no=production_no,
-        planned_material_cost=round(float(planned_material_cost), 4),
+        planned_material_cost=planned_material_cost,
         items=plan_items,
     )
 
@@ -688,7 +691,7 @@ async def issue_sales_order_materials(
             reference_id=order.id,
             reference_no=production_no,
             unit_price=item.unit_cost,
-            total_amount=round(float(total_amount), 4),
+            total_amount=Decimal(str(total_amount)),
             remark=payload.remark or f"销售单{order.order_no}按单生产领料",
             operator_id=current_user.id
         )
@@ -697,22 +700,22 @@ async def issue_sales_order_materials(
 
     order.production_no = production_no
     order.production_status = "material_issued"
-    order.planned_material_cost = round(float(planned_material_cost), 4)
-    order.actual_material_cost = round(float(actual_material_cost), 4)
+    order.planned_material_cost = planned_material_cost
+    order.actual_material_cost = actual_material_cost
     if order.status == "draft":
         order.status = "manufacturing"
 
     await db_session.commit()
 
-    cost_deviation = round(float(actual_material_cost - planned_material_cost), 4)
-    cost_deviation_rate = round((cost_deviation / planned_material_cost), 6) if planned_material_cost > 1e-9 else 0.0
+    cost_deviation = actual_material_cost - planned_material_cost
+    cost_deviation_rate = (cost_deviation / planned_material_cost) if planned_material_cost > Decimal("1e-9") else Decimal("0")
     return SalesOrderIssueResponse(
         sales_order_id=order.id,
         order_no=order.order_no,
         production_no=production_no,
         movement_count=movement_count,
-        planned_material_cost=round(float(planned_material_cost), 4),
-        actual_material_cost=round(float(actual_material_cost), 4),
+        planned_material_cost=planned_material_cost,
+        actual_material_cost=actual_material_cost,
         cost_deviation=cost_deviation,
         cost_deviation_rate=cost_deviation_rate,
         production_status=order.production_status,

src/api/inventory/schemas/finance_schemas.py

@@ -1,6 +1,7 @@
 from pydantic import BaseModel, Field
 from typing import Optional, List, Literal
 from datetime import datetime
+from decimal import Decimal
 
 
 TxnType = Literal["receipt", "payment"]
@@ -12,11 +13,11 @@ TxnStatus = Literal["confirmed", "voided"]
 class FinanceAllocationCreate(BaseModel):
     order_type: OrderType
     order_id: int
-    allocated_amount: float = Field(gt=0)
+    allocated_amount: Decimal = Field(gt=0)
 
 
 class FinanceTransactionCreate(BaseModel):
-    amount: float = Field(gt=0)
+    amount: Decimal = Field(gt=0)
     txn_date: Optional[datetime] = None
     method: str = "bank"
     account_name: Optional[str] = None
@@ -36,13 +37,11 @@ class FinanceAllocationResponse(BaseModel):
     id: int
     order_type: str
     order_id: int
-    allocated_amount: float
+    allocated_amount: Decimal
 
     class Config:
         from_attributes = True
 
-        
-
 
 class FinanceTransactionResponse(BaseModel):
     id: int
@@ -50,7 +49,7 @@ class FinanceTransactionResponse(BaseModel):
     txn_type: TxnType
     partner_type: PartnerType
     partner_id: int
-    amount: float
+    amount: Decimal
     txn_date: datetime
     method: str
     account_name: Optional[str]
@@ -64,15 +63,15 @@ class FinanceTransactionResponse(BaseModel):
 
 
 class FinanceSummaryResponse(BaseModel):
-    receivable_total: float
-    payable_total: float
-    monthly_receipt_total: float
-    monthly_payment_total: float
+    receivable_total: Decimal
+    payable_total: Decimal
+    monthly_receipt_total: Decimal
+    monthly_payment_total: Decimal
     selected_year: int
     selected_quarter: Optional[int] = None
     period_label: str
-    period_receipt_total: float = 0
-    period_payment_total: float = 0
+    period_receipt_total: Decimal = Decimal("0")
+    period_payment_total: Decimal = Decimal("0")
     overdue_receivable_count: int = 0
     overdue_payable_count: int = 0
 
@@ -83,9 +82,9 @@ class ReceivableItemResponse(BaseModel):
     customer_id: int
     customer_name: str
     order_date: datetime
-    total_amount: float
-    received_amount: float
-    receivable_amount: float
+    total_amount: Decimal
+    received_amount: Decimal
+    receivable_amount: Decimal
     status: str
 
 
@@ -95,9 +94,9 @@ class PayableItemResponse(BaseModel):
     supplier_id: int
     supplier_name: str
     order_date: datetime
-    total_amount: float
-    paid_amount: float
-    payable_amount: float
+    total_amount: Decimal
+    paid_amount: Decimal
+    payable_amount: Decimal
     status: str
 
 
@@ -106,10 +105,10 @@ class PartnerStatementItemResponse(BaseModel):
     partner_name: str
     order_count: int
     transaction_count: int
-    order_total: float
-    settled_total: float
-    transaction_total: float
-    outstanding_total: float
+    order_total: Decimal
+    settled_total: Decimal
+    transaction_total: Decimal
+    outstanding_total: Decimal
     period_year: int
     period_quarter: Optional[int] = None
 
@@ -119,10 +118,10 @@ class FinancePartnerStatementResponse(BaseModel):
     year: int
     quarter: Optional[int] = None
     period_label: str
-    order_total: float
-    settled_total: float
-    transaction_total: float
-    outstanding_total: float
+    order_total: Decimal
+    settled_total: Decimal
+    transaction_total: Decimal
+    outstanding_total: Decimal
     items: List[PartnerStatementItemResponse] = []
 
 
@@ -133,10 +132,10 @@ class PartnerProductStatementItemResponse(BaseModel):
     product_sku: Optional[str] = None
     product_name: str
     order_count: int
-    order_quantity: float
-    order_amount: float
-    settled_amount: float
-    outstanding_amount: float
+    order_quantity: Decimal
+    order_amount: Decimal
+    settled_amount: Decimal
+    outstanding_amount: Decimal
     period_year: int
     period_quarter: Optional[int] = None
 
@@ -147,7 +146,7 @@ class FinancePartnerProductStatementResponse(BaseModel):
     quarter: Optional[int] = None
     period_label: str
     partner_id: Optional[int] = None
-    order_amount_total: float
-    settled_amount_total: float
-    outstanding_amount_total: float
+    order_amount_total: Decimal
+    settled_amount_total: Decimal
+    outstanding_amount_total: Decimal
     items: List[PartnerProductStatementItemResponse] = []

src/api/inventory/schemas/inventory_schemas.py

@@ -1,5 +1,6 @@
 from pydantic import BaseModel
 from typing import Optional
+from decimal import Decimal
 
 
 class InventoryResponse(BaseModel):
@@ -9,9 +10,9 @@ class InventoryResponse(BaseModel):
     product_sku: str
     warehouse_id: int
     warehouse_name: str
-    quantity: int
-    locked_quantity: int
-    available_quantity: int
+    quantity: Decimal
+    locked_quantity: Decimal
+    available_quantity: Decimal
 
     class Config:
         from_attributes = True
@@ -20,14 +21,14 @@ class InventoryResponse(BaseModel):
 class InventoryCreate(BaseModel):
     product_id: int
     warehouse_id: int
-    quantity: int = 0
-    locked_quantity: int = 0
+    quantity: Decimal = Decimal("0")
+    locked_quantity: Decimal = Decimal("0")
     batch_number: Optional[str] = None
     location: Optional[str] = None
 
 
 class InventoryUpdate(BaseModel):
-    quantity: Optional[int] = None
-    locked_quantity: Optional[int] = None
+    quantity: Optional[Decimal] = None
+    locked_quantity: Optional[Decimal] = None
     batch_number: Optional[str] = None
     location: Optional[str] = None

src/api/inventory/schemas/product_schemas.py

@@ -1,6 +1,7 @@
 from pydantic import BaseModel
 from typing import Optional, List
 from datetime import datetime
+from decimal import Decimal
 
 
 class ProductCreate(BaseModel):
@@ -10,8 +11,8 @@ class ProductCreate(BaseModel):
     category: Optional[str] = None
     unit: str = "件"
     item_type: str = "finished"
-    cost_price: float = 0
-    sale_price: float = 0
+    cost_price: Decimal = Decimal("0")
+    sale_price: Decimal = Decimal("0")
     min_stock: int = 0
     max_stock: int = 1000
 
@@ -24,11 +25,11 @@ class ProductResponse(BaseModel):
     category: Optional[str]
     unit: str
     item_type: str
-    cost_price: float
-    sale_price: float
+    cost_price: Decimal
+    sale_price: Decimal
     min_stock: int
     max_stock: int
-    material_cost: float = 0
+    material_cost: Decimal = Decimal("0")
     is_active: bool
     created_at: datetime
 
@@ -38,7 +39,7 @@ class ProductResponse(BaseModel):
 
 class ProductMaterialItemUpdate(BaseModel):
     material_id: int
-    quantity: float
+    quantity: Decimal
 
 
 class ProductBOMUpdate(BaseModel):
@@ -49,13 +50,13 @@ class ProductMaterialItemResponse(BaseModel):
     material_id: int
     material_sku: str
     material_name: str
-    quantity: float
-    unit_cost: float
-    line_cost: float
+    quantity: Decimal
+    unit_cost: Decimal
+    line_cost: Decimal
 
 
 class ProductBOMResponse(BaseModel):
     product_id: int
     product_name: str
-    total_material_cost: float
+    total_material_cost: Decimal
     items: List[ProductMaterialItemResponse]

src/api/inventory/schemas/purchase_order_schemas.py

@@ -1,12 +1,13 @@
 from pydantic import BaseModel, Field
 from typing import Optional, List
 from datetime import datetime, date
+from decimal import Decimal
 
 
 class PurchaseOrderItemCreate(BaseModel):
     product_id: int
     quantity: int = Field(..., gt=0, description="采购数量")
-    unit_price: Optional[float] = Field(None, description="单价（可选，后端自动使用物料成本价格）")
+    unit_price: Optional[Decimal] = Field(None, description="单价（可选，后端自动使用物料成本价格）")
     remark: Optional[str] = None
 
 
@@ -24,8 +25,8 @@ class PurchaseOrderResponse(BaseModel):
     order_date: datetime
     expected_date: Optional[date]
     status: str
-    total_amount: float
-    paid_amount: float
+    total_amount: Decimal
+    paid_amount: Decimal
     remark: Optional[str]
     created_at: datetime
     received_date: Optional[datetime]
@@ -42,8 +43,8 @@ class PurchaseOrderItemResponse(BaseModel):
     product_name: str
     quantity: int
     received_quantity: int
-    unit_price: float
-    amount: float
+    unit_price: Decimal
+    amount: Decimal
     remark: Optional[str] = None
 
 

src/api/inventory/schemas/sales_order_schemas.py

@@ -1,6 +1,7 @@
 from pydantic import BaseModel, Field
 from typing import Optional, List
 from datetime import datetime, date
+from decimal import Decimal
 
 
 class SalesOrderItemCreate(BaseModel):
@@ -10,7 +11,7 @@ class SalesOrderItemCreate(BaseModel):
     product_category: Optional[str] = None
     product_unit: Optional[str] = "件"
     quantity: int = Field(gt=0)
-    unit_price: float = Field(ge=0)
+    unit_price: Decimal = Field(ge=0)
     remark: Optional[str] = None
 
 
@@ -33,10 +34,10 @@ class SalesOrderResponse(BaseModel):
     status: str
     production_status: str
     production_no: Optional[str]
-    planned_material_cost: float
-    actual_material_cost: float
-    total_amount: float
-    received_amount: float
+    planned_material_cost: Decimal
+    actual_material_cost: Decimal
+    total_amount: Decimal
+    received_amount: Decimal
     remark: Optional[str]
     created_at: datetime
 
@@ -49,8 +50,8 @@ class SalesOrderItemResponse(BaseModel):
     product_id: int
     quantity: int
     delivered_quantity: int
-    unit_price: float
-    amount: float
+    unit_price: Decimal
+    amount: Decimal
     remark: Optional[str] = None
 
 
@@ -63,11 +64,11 @@ class ProductionMaterialPlanItemResponse(BaseModel):
     material_id: int
     material_sku: str
     material_name: str
-    required_quantity: int
-    available_quantity: int
-    shortage_quantity: int
-    unit_cost: float
-    required_cost: float
+    required_quantity: Decimal
+    available_quantity: Decimal
+    shortage_quantity: Decimal
+    unit_cost: Decimal
+    required_cost: Decimal
 
 
 class SalesOrderProductionPlanResponse(BaseModel):
@@ -75,7 +76,7 @@ class SalesOrderProductionPlanResponse(BaseModel):
     order_no: str
     customer_name: str
     production_no: str
-    planned_material_cost: float
+    planned_material_cost: Decimal
     items: List[ProductionMaterialPlanItemResponse]
 
 
@@ -90,10 +91,10 @@ class SalesOrderIssueResponse(BaseModel):
     order_no: str
     production_no: str
     movement_count: int
-    planned_material_cost: float
-    actual_material_cost: float
-    cost_deviation: float
-    cost_deviation_rate: float
+    planned_material_cost: Decimal
+    actual_material_cost: Decimal
+    cost_deviation: Decimal
+    cost_deviation_rate: Decimal
     production_status: str
 
 

src/api/inventory/schemas/stock_movement_schemas.py

@@ -1,6 +1,7 @@
 from pydantic import BaseModel
 from typing import Optional
 from datetime import datetime
+from decimal import Decimal
 
 
 class StockMovementCreate(BaseModel):
@@ -8,8 +9,8 @@ class StockMovementCreate(BaseModel):
     product_sku: Optional[str] = None
     warehouse_id: int
     movement_type: str
-    quantity: int
-    unit_price: Optional[float] = None
+    quantity: Decimal
+    unit_price: Optional[Decimal] = None
     remark: Optional[str] = None
 
 
@@ -19,9 +20,9 @@ class StockMovementResponse(BaseModel):
     product_sku: Optional[str]
     product_name: str
     movement_type: str
-    quantity: int
-    before_quantity: int
-    after_quantity: int
+    quantity: Decimal
+    before_quantity: Decimal
+    after_quantity: Decimal
     reference_no: Optional[str]
     remark: Optional[str]
     created_at: datetime

src/core/ai_parting_detector.py

@@ -0,0 +1,546 @@
+"""
+AI 分型面检测模块 - 基于 GNN 的分型面预测框架
+
+架构设计：
+1. ShapeGraphBuilder - 将 OCC 形状转换为图表示（面为节点，共享边为图边）
+2. PartingSurfaceGNN - 图神经网络模型定义
+3. AIPartingSurfaceDetectorV2 - 增强版分型面检测器（集成 GNN）
+
+图构建策略：
+- 节点：每个 TopoDS_Face 作为一个节点
+- 节点特征：法向量(3) + 面积(1) + 曲率(2) + 面类型(1) = 7维
+- 边：共享 TopoDS_Edge 的面之间建立边
+- 边特征：共享边长度(1) + 二面角(1) = 2维
+
+GNN 模型：
+- 3层 GraphConv + 全局池化 + MLP 分类头
+- 输出：每个面的分型面归属概率 + 分型方向
+
+依赖：
+- PyTorch + PyTorch Geometric（可选，缺失时回退到几何方法）
+"""
+
+from typing import Dict, List, Any, Optional, Tuple
+import numpy as np
+from utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+_TORCH_AVAILABLE = False
+_TORCH_GEOMETRIC_AVAILABLE = False
+
+try:
+    import torch
+    import torch.nn as nn
+    import torch.nn.functional as F
+    _TORCH_AVAILABLE = True
+    try:
+        from torch_geometric.nn import GCNConv, global_mean_pool
+        from torch_geometric.data import Data
+        _TORCH_GEOMETRIC_AVAILABLE = True
+    except ImportError:
+        logger.info("PyTorch Geometric 未安装，GNN 模型不可用")
+except ImportError:
+    logger.info("PyTorch 未安装，AI 分型面检测将使用几何回退方法")
+
+
+class ShapeGraphBuilder:
+    """将 OCC 形状转换为图表示"""
+
+    def build_graph(self, shape: Any) -> Optional[Dict]:
+        """
+        从 OCC 形状构建图数据
+
+        Returns:
+            {
+                "node_features": np.ndarray (N, 7),
+                "edge_index": np.ndarray (2, E),
+                "edge_features": np.ndarray (E, 2),
+                "face_map": List[TopoDS_Face],
+                "num_nodes": int,
+                "num_edges": int
+            }
+        """
+        try:
+            from OCC.Core.TopExp import TopExp_Explorer
+            from OCC.Core.TopAbs import TopAbs_FACE, TopAbs_EDGE
+            from OCC.Core.BRepAdaptor import BRepAdaptor_Surface
+            from OCC.Core.GProp import GProp_GProps
+            from OCC.Core.BRepGProp import brepgprop
+            from OCC.Core.Bnd import Bnd_Box
+            from OCC.Core.BRepBndLib import brepbndlib_Add
+            from OCC.Core.TopTools import TopTools_IndexedDataMapOfShapeListOfShape
+            from OCC.Core.TopExp import topexp_MapShapesAndAncestors
+            from OCC.Core.TopoDS import TopoDS_Face, TopoDS_Edge
+
+            faces = []
+            face_features = []
+
+            explorer = TopExp_Explorer(shape, TopAbs_FACE)
+            while explorer.More():
+                face = TopoDS_Face(explorer.Current())
+                features = self._extract_face_features(face)
+                if features is not None:
+                    faces.append(face)
+                    face_features.append(features)
+                explorer.Next()
+
+            if not faces:
+                logger.warning("未找到面，无法构建图")
+                return None
+
+            node_features = np.array(face_features, dtype=np.float32)
+
+            edge_map = TopTools_IndexedDataMapOfShapeListOfShape()
+            topexp_MapShapesAndAncestors(shape, TopAbs_EDGE, TopAbs_FACE, edge_map)
+
+            edge_list = []
+            edge_features_list = []
+
+            for i in range(1, edge_map.Extent() + 1):
+                edge = TopoDS_Edge(edge_map.FindKey(i))
+                face_list = edge_map.FindFromIndex(i)
+
+                connected_faces = []
+                it = face_list.begin()
+                while it != face_list.end():
+                    f = TopoDS_Face(it.Value())
+                    try:
+                        idx = faces.index(f)
+                        connected_faces.append(idx)
+                    except ValueError:
+                        pass
+                    it.next_ptr()
+
+                if len(connected_faces) >= 2:
+                    edge_feat = self._extract_edge_features(edge, connected_faces, faces)
+                    for j in range(len(connected_faces)):
+                        for k in range(j + 1, len(connected_faces)):
+                            edge_list.append([connected_faces[j], connected_faces[k]])
+                            edge_features_list.append(edge_feat)
+
+            if not edge_list:
+                logger.warning("未找到边连接，返回无图边的图")
+                edge_index = np.zeros((2, 0), dtype=np.int64)
+                edge_features_arr = np.zeros((0, 2), dtype=np.float32)
+            else:
+                edge_index = np.array(edge_list, dtype=np.int64).T
+                rev_edges = np.array([[e[1], e[0]] for e in edge_list], dtype=np.int64).T
+                edge_index = np.concatenate([edge_index, rev_edges], axis=1)
+                edge_features_arr = np.array(edge_features_list, dtype=np.float32)
+                edge_features_arr = np.concatenate([edge_features_arr, edge_features_arr], axis=0)
+
+            return {
+                "node_features": node_features,
+                "edge_index": edge_index,
+                "edge_features": edge_features_arr,
+                "face_map": faces,
+                "num_nodes": len(faces),
+                "num_edges": edge_index.shape[1]
+            }
+
+        except Exception as e:
+            logger.error(f"图构建失败: {e}")
+            return None
+
+    def _extract_face_features(self, face: Any) -> Optional[np.ndarray]:
+        """
+        提取面特征：[nx, ny, nz, area, u_curvature, v_curvature, face_type]
+        """
+        try:
+            from OCC.Core.BRepAdaptor import BRepAdaptor_Surface
+            from OCC.Core.GProp import GProp_GProps
+            from OCC.Core.BRepGProp import brepgprop
+
+            surface = BRepAdaptor_Surface(face)
+
+            u = (surface.FirstUParameter() + surface.LastUParameter()) / 2
+            v = (surface.FirstVParameter() + surface.LastVParameter()) / 2
+
+            if surface.GetType() == 0:
+                normal = surface.Plane().Position().Direction()
+                face_type = 0.0
+                u_curv = 0.0
+                v_curv = 0.0
+            elif surface.GetType() == 1:
+                normal = surface.Cylinder().Position().Direction()
+                face_type = 1.0
+                radius = surface.Cylinder().Radius()
+                u_curv = 1.0 / radius if radius > 0.001 else 0.0
+                v_curv = 0.0
+            elif surface.GetType() == 2:
+                normal = surface.Cone().Position().Direction()
+                face_type = 2.0
+                u_curv = 0.0
+                v_curv = 0.0
+            elif surface.GetType() == 3:
+                normal = surface.Sphere().Position().Direction()
+                face_type = 3.0
+                radius = surface.Sphere().Radius()
+                u_curv = 1.0 / radius if radius > 0.001 else 0.0
+                v_curv = 1.0 / radius if radius > 0.001 else 0.0
+            elif surface.GetType() == 4:
+                normal = surface.Torus().Position().Direction()
+                face_type = 4.0
+                u_curv = 0.0
+                v_curv = 0.0
+            else:
+                from OCC.Core.BRepLProp import BRepLProp_SLProps
+                props = BRepLProp_SLProps(surface, 2, 0.001)
+                props.SetParameters(u, v)
+                if props.IsNormalDefined():
+                    normal = props.Normal()
+                else:
+                    normal = gp_Dir(0, 0, 1)
+                face_type = 5.0
+                u_curv = 0.0
+                v_curv = 0.0
+
+            face_props = GProp_GProps()
+            brepgprop.SurfaceProperties(face, face_props)
+            area = face_props.Mass()
+
+            return np.array([
+                normal.X(), normal.Y(), normal.Z(),
+                area,
+                u_curv, v_curv,
+                face_type
+            ], dtype=np.float32)
+
+        except Exception as e:
+            logger.debug(f"面特征提取失败: {e}")
+            return None
+
+    def _extract_edge_features(self, edge: Any, connected_faces: List[int],
+                               faces: List) -> np.ndarray:
+        """
+        提取边特征：[edge_length, dihedral_angle]
+        """
+        try:
+            from OCC.Core.BRepAdaptor import BRepAdaptor_Curve
+            from OCC.Core.GProp import GProp_GProps
+            from OCC.Core.BRepGProp import brepgprop
+
+            curve = BRepAdaptor_Curve(edge)
+            first = curve.FirstParameter()
+            last = curve.LastParameter()
+
+            edge_len = abs(last - first)
+
+            dihedral = 0.0
+            if len(connected_faces) >= 2:
+                n1 = self._get_face_normal_fast(faces[connected_faces[0]])
+                n2 = self._get_face_normal_fast(faces[connected_faces[1]])
+                if n1 is not None and n2 is not None:
+                    dot = np.clip(np.dot(n1, n2), -1.0, 1.0)
+                    dihedral = np.arccos(dot)
+
+            return np.array([edge_len, dihedral], dtype=np.float32)
+
+        except Exception:
+            return np.array([0.0, 0.0], dtype=np.float32)
+
+    def _get_face_normal_fast(self, face: Any) -> Optional[np.ndarray]:
+        """快速获取面法向量（numpy数组）"""
+        try:
+            from OCC.Core.BRepAdaptor import BRepAdaptor_Surface
+            surface = BRepAdaptor_Surface(face)
+            if surface.GetType() == 0:
+                n = surface.Plane().Position().Direction()
+                return np.array([n.X(), n.Y(), n.Z()])
+            return None
+        except Exception:
+            return None
+
+
+if _TORCH_GEOMETRIC_AVAILABLE:
+
+    class PartingSurfaceGNN(nn.Module):
+        """
+        分型面检测 GNN 模型
+
+        架构：
+        - 3层 GCNConv (hidden_dim=64)
+        - 全局平均池化
+        - 3层 MLP 分类头
+        - 输出：每个面的分型面归属概率 (0-1)
+        """
+
+        def __init__(self, input_dim: int = 7, hidden_dim: int = 64,
+                     num_layers: int = 3, dropout: float = 0.3):
+            super().__init__()
+
+            self.input_dim = input_dim
+            self.hidden_dim = hidden_dim
+            self.num_layers = num_layers
+
+            self.input_proj = nn.Linear(input_dim, hidden_dim)
+
+            self.convs = nn.ModuleList()
+            self.bns = nn.ModuleList()
+            for _ in range(num_layers):
+                self.convs.append(GCNConv(hidden_dim, hidden_dim))
+                self.bns.append(nn.BatchNorm1d(hidden_dim))
+
+            self.dropout = dropout
+
+            self.mlp = nn.Sequential(
+                nn.Linear(hidden_dim, hidden_dim),
+                nn.ReLU(),
+                nn.Dropout(dropout),
+                nn.Linear(hidden_dim, hidden_dim // 2),
+                nn.ReLU(),
+                nn.Dropout(dropout),
+                nn.Linear(hidden_dim // 2, 1),
+            )
+
+        def forward(self, data: Data) -> torch.Tensor:
+            x, edge_index = data.x, data.edge_index
+
+            x = self.input_proj(x)
+            x = F.relu(x)
+
+            for conv, bn in zip(self.convs, self.bns):
+                x = conv(x, edge_index)
+                x = bn(x)
+                x = F.relu(x)
+                x = F.dropout(x, p=self.dropout, training=self.training)
+
+            out = self.mlp(x)
+            return torch.sigmoid(out).squeeze(-1)
+
+    class PartingDirectionHead(nn.Module):
+        """
+        分型方向预测头
+
+        基于全局池化的面特征，预测分型方向向量
+        """
+
+        def __init__(self, hidden_dim: int = 64):
+            super().__init__()
+            self.direction_mlp = nn.Sequential(
+                nn.Linear(hidden_dim, hidden_dim),
+                nn.ReLU(),
+                nn.Linear(hidden_dim, 3),
+            )
+
+        def forward(self, node_embeddings: torch.Tensor,
+                    batch: torch.Tensor) -> torch.Tensor:
+            pooled = global_mean_pool(node_embeddings, batch)
+            direction = self.direction_mlp(pooled)
+            direction = F.normalize(direction, p=2, dim=-1)
+            return direction
+
+
+class AIPartingSurfaceDetectorV2:
+    """
+    增强版 AI 分型面检测器
+
+    支持：
+    1. GNN 模型推理（需要 PyTorch + PyG）
+    2. 几何方法回退（无需任何 AI 依赖）
+    3. 模型训练数据收集
+    """
+
+    def __init__(self, model_path: Optional[str] = None,
+                 use_gnn: bool = True,
+                 device: str = "cpu"):
+        self.model = None
+        self.direction_head = None
+        self.graph_builder = ShapeGraphBuilder()
+        self.device = device
+        self.use_gnn = use_gnn and _TORCH_GEOMETRIC_AVAILABLE
+
+        if model_path and self.use_gnn:
+            self._load_model(model_path)
+
+    def _load_model(self, model_path: str):
+        """加载训练好的 GNN 模型"""
+        if not _TORCH_GEOMETRIC_AVAILABLE:
+            logger.warning("PyTorch Geometric 不可用，无法加载 GNN 模型")
+            return
+
+        try:
+            checkpoint = torch.load(model_path, map_location=self.device)
+            self.model = PartingSurfaceGNN(
+                input_dim=checkpoint.get("input_dim", 7),
+                hidden_dim=checkpoint.get("hidden_dim", 64),
+            )
+            self.model.load_state_dict(checkpoint["model_state_dict"])
+            self.model.to(self.device)
+            self.model.eval()
+
+            if "direction_head_state_dict" in checkpoint:
+                self.direction_head = PartingDirectionHead(
+                    hidden_dim=checkpoint.get("hidden_dim", 64)
+                )
+                self.direction_head.load_state_dict(checkpoint["direction_head_state_dict"])
+                self.direction_head.to(self.device)
+                self.direction_head.eval()
+
+            logger.info(f"GNN 模型加载成功: {model_path}")
+        except Exception as e:
+            logger.error(f"GNN 模型加载失败: {e}")
+            self.model = None
+
+    def detect(self, product_shape: Any, analysis: Dict) -> Optional[Dict]:
+        """
+        检测最优分型面
+
+        Args:
+            product_shape: OpenCASCADE 形状对象
+            analysis: 几何分析结果
+
+        Returns:
+            {
+                "origin": [x, y, z],
+                "normal": [nx, ny, nz],
+                "confidence": float,
+                "parting_line": [...],
+                "method": "gnn" | "geometric"
+            }
+        """
+        if self.use_gnn and self.model is not None:
+            result = self._detect_with_gnn(product_shape, analysis)
+            if result is not None:
+                return result
+
+        return self._detect_with_geometry(product_shape, analysis)
+
+    def _detect_with_gnn(self, shape: Any, analysis: Dict) -> Optional[Dict]:
+        """使用 GNN 模型检测分型面"""
+        if not _TORCH_GEOMETRIC_AVAILABLE:
+            return None
+
+        try:
+            graph_data = self.graph_builder.build_graph(shape)
+            if graph_data is None:
+                return None
+
+            node_features = torch.tensor(
+                graph_data["node_features"], dtype=torch.float32
+            ).to(self.device)
+            edge_index = torch.tensor(
+                graph_data["edge_index"], dtype=torch.long
+            ).to(self.device)
+
+            data = Data(x=node_features, edge_index=edge_index)
+
+            with torch.no_grad():
+                face_probs = self.model(data)
+
+                if self.direction_head is not None:
+                    batch = torch.zeros(
+                        data.num_nodes, dtype=torch.long, device=self.device
+                    )
+                    direction = self.direction_head(data.x, batch)
+                    normal = direction.cpu().numpy().tolist()
+                else:
+                    normal = [0, 0, 1]
+
+            parting_face_mask = face_probs.cpu().numpy() > 0.5
+            confidence = float(face_probs.mean().cpu().numpy())
+
+            bbox = analysis.get("bounding_box", {})
+            center = bbox.get("center", [0, 0, 0])
+
+            return {
+                "origin": center,
+                "normal": normal,
+                "confidence": confidence,
+                "method": "gnn",
+                "face_probabilities": face_probs.cpu().numpy().tolist(),
+                "parting_face_count": int(parting_face_mask.sum()),
+            }
+
+        except Exception as e:
+            logger.warning(f"GNN 检测失败，回退到几何方法: {e}")
+            return None
+
+    def _detect_with_geometry(self, shape: Any, analysis: Dict) -> Dict:
+        """几何方法回退：基于法向量统计的分型面检测"""
+        try:
+            graph_data = self.graph_builder.build_graph(shape)
+            if graph_data is not None:
+                node_features = graph_data["node_features"]
+                normals = node_features[:, :3]
+                areas = node_features[:, 3]
+
+                total_area = areas.sum()
+                if total_area > 0:
+                    weights = areas / total_area
+                    weighted_normal = np.sum(normals * weights[:, np.newaxis], axis=0)
+                else:
+                    weighted_normal = np.mean(normals, axis=0)
+
+                length = np.linalg.norm(weighted_normal)
+                if length > 0.001:
+                    weighted_normal /= length
+                else:
+                    weighted_normal = np.array([0, 0, 1])
+
+                dot_products = np.abs(np.dot(normals, weighted_normal))
+                confidence = float(np.mean(dot_products))
+
+                bbox = analysis.get("bounding_box", {})
+                center = bbox.get("center", [0, 0, 0])
+
+                return {
+                    "origin": center,
+                    "normal": weighted_normal.tolist(),
+                    "confidence": confidence,
+                    "method": "geometric",
+                }
+
+        except Exception as e:
+            logger.warning(f"几何方法检测失败: {e}")
+
+        bbox = analysis.get("bounding_box", {})
+        center = bbox.get("center", [0, 0, 0])
+        return {
+            "origin": center,
+            "normal": [0, 0, 1],
+            "confidence": 0.5,
+            "method": "fallback",
+        }
+
+    def collect_training_sample(self, shape: Any, analysis: Dict,
+                                ground_truth_normal: List[float],
+                                ground_truth_origin: List[float]) -> Optional[Dict]:
+        """
+        收集训练样本
+
+        Args:
+            shape: OCC 形状
+            analysis: 几何分析
+            ground_truth_normal: 人工标注的分型方向
+            ground_truth_origin: 人工标注的分型面原点
+
+        Returns:
+            可序列化的训练样本
+        """
+        graph_data = self.graph_builder.build_graph(shape)
+        if graph_data is None:
+            return None
+
+        return {
+            "node_features": graph_data["node_features"].tolist(),
+            "edge_index": graph_data["edge_index"].tolist(),
+            "edge_features": graph_data["edge_features"].tolist(),
+            "label_normal": ground_truth_normal,
+            "label_origin": ground_truth_origin,
+            "bounding_box": analysis.get("bounding_box", {}),
+        }
+
+    @staticmethod
+    def create_model(input_dim: int = 7, hidden_dim: int = 64,
+                     num_layers: int = 3) -> Optional[Any]:
+        """创建新的 GNN 模型实例"""
+        if not _TORCH_GEOMETRIC_AVAILABLE:
+            logger.warning("PyTorch Geometric 不可用，无法创建模型")
+            return None
+        return PartingSurfaceGNN(
+            input_dim=input_dim,
+            hidden_dim=hidden_dim,
+            num_layers=num_layers,
+        )

src/core/aluminum_foam_mold.py

@@ -5,65 +5,55 @@
 1. 改进的法向量分析 - 高斯权重、多点采样
 2. 多分型面检测 - 支持复杂产品
 3. 倒扣区域检测 - 自动识别
-4. 完整拔模角处理 - BRepOffsetAPI_DraftAngle
-5. 铝泡沫收缩补偿 - 基于发泡倍率
-6. 优化的型腔分离 - 精确布尔运算
-7. 模具块生成 - A/B板结构
-8. 分型线平滑处理 - B样条拟合
+4. 铝泡沫收缩补偿 - 基于发泡倍率
+5. 优化的型腔分离 - 精确布尔运算
+6. 模具块生成 - A/B板结构
+7. 分型线平滑处理 - B样条拟合
 """
 
-from pathlib import Path
 from typing import Dict, List, Any, Tuple, Optional
 import numpy as np
-from OCC.Core.BRepOffsetAPI import BRepOffsetAPI_MakeThickSolid
-from OCC.Core.BRepAlgoAPI import BRepAlgoAPI_Cut, BRepAlgoAPI_Fuse, BRepAlgoAPI_Section
-from OCC.Core.BRepBuilderAPI import BRepBuilderAPI_MakeFace, BRepBuilderAPI_Transform
+from OCC.Core.BRepBuilderAPI import BRepBuilderAPI_MakeFace
 from OCC.Core.BRepPrimAPI import BRepPrimAPI_MakeBox
-from OCC.Core.Geom import Geom_Plane
-from OCC.Core.gp import gp_Pln, gp_Dir, gp_Pnt, gp_Vec, gp_Trsf
-from OCC.Core.TopTools import TopTools_ListOfShape
-from OCC.Core.TopoDS import TopoDS_Face, TopoDS_Shape, TopoDS_Edge, TopoDS_Vertex
-from OCC.Core.BRep import BRep_Tool
-from OCC.Core.TopLoc import TopLoc_Location
-from OCC.Core.BRepMesh import BRepMesh_IncrementalMesh
-from OCC.Core.BRepExtrema import BRepExtrema_DistShapeShape
-from OCC.Core.GProp import GProp_GProps
-from OCC.Core.BRepGProp import brepgprop
+from OCC.Core.gp import gp_Pln, gp_Dir, gp_Pnt
+from OCC.Core.TopoDS import TopoDS_Face
+from OCC.Core.BRepAdaptor import BRepAdaptor_Surface
 from OCC.Core.TopExp import TopExp_Explorer
-from OCC.Core.TopAbs import TopAbs_FACE, TopAbs_EDGE, TopAbs_VERTEX
-from OCC.Core.BRepAdaptor import BRepAdaptor_Surface, BRepAdaptor_Curve
+from OCC.Core.TopAbs import TopAbs_FACE
 from OCC.Core.Bnd import Bnd_Box
 from OCC.Core.BRepBndLib import brepbndlib_Add
+from OCC.Core.GProp import GProp_GProps
+from OCC.Core.BRepGProp import brepgprop
 
 from models.schemas import create_mold_cavity_data, create_mold_key_info
 from utils.logger import get_logger
+from core.base_mold_generator import BaseMoldGenerator
+from core.side_action_designer import SideActionDesigner
 
 logger = get_logger(__name__)
 
 
-class AluminumFoamMoldGenerator:
+class AluminumFoamMoldGenerator(BaseMoldGenerator):
     """铝制家电包装泡沫模具分模生成器"""
-    
-    def __init__(self, 
+
+    def __init__(self,
                  shrinkage_rate: float = 0.015,
                  draft_angle: float = 3.0,
                  material_density: float = 0.5,
                  foam_material: str = "AlSi10Mg"):
         """
         初始化铝泡沫模具生成器
-        
+
         Args:
             shrinkage_rate: 收缩率（铝泡沫默认 1.5%）
             draft_angle: 拔模角（铝泡沫建议 3-5°）
             material_density: 材料密度 g/cm³（铝泡沫 0.3-0.8）
             foam_material: 泡沫材料类型
         """
-        self.shrinkage_rate = shrinkage_rate
-        self.draft_angle = draft_angle
-        self.material_density = material_density
+        super().__init__(shrinkage_rate, draft_angle, material_density)
+
         self.foam_material = foam_material
-        
-        # 铝泡沫材料数据库
+
         self.foam_materials = {
             "AlSi10Mg": {
                 "density": 0.45,
@@ -94,8 +84,7 @@ class AluminumFoamMoldGenerator:
                 "description": "轻质铝镁泡沫"
             }
         }
-        
-        # 塑料材料数据库（保留原有）
+
         self.plastic_materials = {
             "ABS": {"density": 1.05, "shrinkage": 0.005},
             "PP": {"density": 0.90, "shrinkage": 0.016},
@@ -106,21 +95,16 @@ class AluminumFoamMoldGenerator:
             "POM": {"density": 1.42, "shrinkage": 0.020},
             "PMMA": {"density": 1.18, "shrinkage": 0.004}
         }
-        
-        # 分模参数
+
         self.parting_line_tolerance = 0.1
         self.max_draft_angle = 5.0
         self.min_draft_angle = 1.0
-        
-        # 高级参数
+
         self.cavity_count = 1
-        self.parting_precision = 0.1  # mm
-        self.cavity_match_rate = 95.0  # %
-        
-        # AI 模型接口
-        self.ai_parting_detector = None
-        self.ai_draft_analyzer = None
-        
+        self.parting_precision = 0.1
+        self.cavity_match_rate = 95.0
+        self.side_action_designer = SideActionDesigner()
+
     def set_foam_material(self, material: str):
         """设置铝泡沫材料"""
         if material in self.foam_materials:
@@ -131,7 +115,7 @@ class AluminumFoamMoldGenerator:
             logger.info(f"铝泡沫材料设置为 {material}, 密度: {props['density']} g/cm³")
         else:
             logger.warning(f"未知材料 {material}, 使用当前设置")
-    
+
     def set_material(self, material: str):
         """设置材料（自动识别类型）"""
         if material in self.foam_materials:
@@ -143,11 +127,11 @@ class AluminumFoamMoldGenerator:
             logger.info(f"塑料材料设置为 {material}, 密度: {props['density']} g/cm³")
         else:
             logger.warning(f"未知材料 {material}")
-    
+
     def generate_mold_cavities(self, product_shape: Any) -> Dict[str, Any]:
         """
         从产品的3D模型生成型腔和型芯
-        
+
         完整流程：
         1. 分析产品几何
         2. 检测分型面（支持多分型面）
@@ -160,34 +144,35 @@ class AluminumFoamMoldGenerator:
         logger.info(f"开始生成铝泡沫模具型腔 (材料: {self.foam_material})...")
 
         try:
-            # Step 1: 分析产品几何
             analysis = self._analyze_product_geometry(product_shape)
-            
-            # Step 2: 检测分型面和分型线（支持多分型面）
+
             parting_result = self._detect_parting_surfaces(product_shape, analysis)
             primary_parting_surface = parting_result["primary_surface"]
             primary_parting_line = parting_result["primary_line"]
-            
-            # Step 3: 检测倒扣区域
-            undercut_regions = self._detect_undercut_regions(product_shape, primary_parting_surface)
-            
-            # Step 4: 应用收缩率补偿
+            primary_parting_direction = parting_result["primary_direction"]
+
+            side_action_result = self.side_action_designer.analyze_and_design(
+                shape=product_shape,
+                parting_direction=primary_parting_direction,
+                mold_size=self._calculate_mold_size(analysis),
+                parting_surface=primary_parting_surface,
+            )
+            undercut_regions = self._build_undercut_regions(
+                side_action_result.get("undercut_analysis", {})
+            )
+
             scaled_shape = self._apply_shrinkage_compensation(product_shape)
-            
-            # Step 5: 应用拔模角
+
             drafted_shape = self._apply_draft_angles(scaled_shape, primary_parting_surface)
-            
-            # Step 6: 分离型腔和型芯
+
             cavity, core = self._split_cavity_core(drafted_shape, primary_parting_surface)
-            
-            # Step 7: 生成模具块
+
             mold_block = self._generate_mold_block(cavity, analysis)
-            
-            # Step 8: 平滑分型线
+
             smoothed_parting_line = self._smooth_parting_line(primary_parting_line)
-            
+
             logger.info("铝泡沫模具型腔生成完成")
-            
+
             return {
                 "cavity": cavity,
                 "core": core,
@@ -196,6 +181,7 @@ class AluminumFoamMoldGenerator:
                 "mold_block": mold_block,
                 "analysis": analysis,
                 "undercut_regions": undercut_regions,
+                "side_actions": side_action_result,
                 "parting_surfaces": parting_result,
                 "material": self.foam_material,
                 "shrinkage_applied": self.shrinkage_rate,
@@ -205,24 +191,21 @@ class AluminumFoamMoldGenerator:
         except Exception as e:
             logger.error(f"模具型腔生成失败: {e}")
             raise
-    
+
     def generate_detailed_cavity_json(self, cavity_data: Dict) -> Dict[str, Any]:
         """生成详细的型腔三维JSON数据"""
         cavity = cavity_data["cavity"]
         core = cavity_data["core"]
         parting_surface = cavity_data["parting_surface"]
         analysis = cavity_data["analysis"]
-        
-        # 提取几何数据
+
         cavity_geometry = self._extract_shape_geometry(cavity, "cavity")
         core_geometry = self._extract_shape_geometry(core, "core")
-        
-        # 提取分型面数据
+
         parting_geometry = self._extract_parting_surface_geometry(parting_surface)
-        
-        # 获取材料信息
+
         material_info = self.foam_materials.get(self.foam_material, {})
-        
+
         detailed_json = {
             "metadata": {
                 "version": "3.0",
@@ -256,19 +239,20 @@ class AluminumFoamMoldGenerator:
             },
             "quality_checks": {
                 "undercut_regions": cavity_data.get("undercut_regions", []),
+                "side_actions": cavity_data.get("side_actions", {}),
                 "parting_line_smoothness": self._assess_parting_line_smoothness(
                     cavity_data.get("parting_line", [])
                 )
             }
         }
-        
+
         return detailed_json
-    
+
     def generate_cavity_key_info(self, cavity_data: Dict) -> Dict[str, Any]:
         """生成模具型腔的关键信息"""
         analysis = cavity_data["analysis"]
         material_info = self.foam_materials.get(self.foam_material, {})
-        
+
         key_info = {
             "mold_parameters": {
                 "shrinkage_rate": f"{self.shrinkage_rate * 100:.2f}%",
@@ -297,146 +281,27 @@ class AluminumFoamMoldGenerator:
             "quality_considerations": {
                 "undercut_count": len(cavity_data.get("undercut_regions", [])),
                 "undercut_regions": cavity_data.get("undercut_regions", []),
+                "side_action_summary": cavity_data.get("side_actions", {}).get("summary", {}),
                 "sink_mark_risk": self._identify_sink_mark_risk(analysis),
                 "warpage_risk": self._assess_warpage_risk(analysis),
                 "venting_requirement": self._assess_venting_requirement(analysis)
             }
         }
-        
+
         return key_info
-    
+
     # ==================== 核心算法实现 ====================
-    
+
     def _analyze_product_geometry(self, shape: Any) -> Dict[str, Any]:
-        """分析产品几何属性"""
-        # 体积属性
-        volume_props = GProp_GProps()
-        brepgprop.VolumeProperties(shape, volume_props)
-        
-        # 表面积属性
-        surface_props = GProp_GProps()
-        brepgprop.SurfaceProperties(shape, surface_props)
-        
-        # 边界框
-        bbox = Bnd_Box()
-        brepbndlib_Add(shape, bbox)
-        xmin, ymin, zmin, xmax, ymax, zmax = bbox.Get()
-        
-        # 表面法向量统计
-        normal_stats = self._analyze_face_normals(shape)
-        
-        return {
-            "volume": volume_props.Mass(),
-            "surface_area": surface_props.Mass(),
-            "center_of_mass": [
-                volume_props.CentreOfMass().X(),
-                volume_props.CentreOfMass().Y(),
-                volume_props.CentreOfMass().Z()
-            ],
-            "bounding_box": {
-                "min": [xmin, ymin, zmin],
-                "max": [xmax, ymax, zmax],
-                "dimensions": [xmax - xmin, ymax - ymin, zmax - zmin],
-                "center": [(xmin + xmax) / 2, (ymin + ymax) / 2, (zmin + zmax) / 2]
-            },
-            "normal_statistics": normal_stats,
-            "inertia_matrix": self._get_inertia_matrix(volume_props)
-        }
-    
-    def _analyze_face_normals(self, shape: Any) -> Dict[str, Any]:
-        """
-        改进的法向量分析 - 使用高斯权重和多点采样
-        """
-        face_normals = []
-        face_centers = []
-        face_areas = []
-        
-        explorer = TopExp_Explorer(shape, TopAbs_FACE)
-        
-        while explorer.More():
-            face = TopoDS_Face(explorer.Current())
-            try:
-                surface = BRepAdaptor_Surface(face)
-                
-                # 获取面参数范围
-                u_min, u_max = surface.FirstUParameter(), surface.LastUParameter()
-                v_min, v_max = surface.FirstVParameter(), surface.LastVParameter()
-                
-                # 多点采样计算法向量
-                sample_points = 4
-                normal_sum = np.array([0.0, 0.0, 0.0])
-                
-                for i in range(sample_points):
-                    for j in range(sample_points):
-                        u = u_min + (u_max - u_min) * i / (sample_points - 1) if sample_points > 1 else (u_min + u_max) / 2
-                        v = v_min + (v_max - v_min) * j / (sample_points - 1) if sample_points > 1 else (v_min + v_max) / 2
-                        
-                        if surface.GetType() == 0:  # Plane
-                            normal = surface.Plane().Position().Direction()
-                            normal_sum += np.array([normal.X(), normal.Y(), normal.Z()])
-                            break
-                    if surface.GetType() == 0:
-                        break
-                
-                # 获取面的中心点
-                bbox = Bnd_Box()
-                brepbndlib_Add(face, bbox)
-                center = bbox.Center()
-                
-                # 获取面面积
-                face_props = GProp_GProps()
-                brepgprop.SurfaceProperties(face, face_props)
-                area = face_props.Mass()
-                
-                # 归一化法向量
-                length = np.linalg.norm(normal_sum)
-                if length > 0.001:
-                    normal_sum /= length
-                
-                face_normals.append(normal_sum)
-                face_centers.append([center.X(), center.Y(), center.Z()])
-                face_areas.append(area)
-                
-            except Exception as e:
-                logger.debug(f"面分析失败: {e}")
-            
-            explorer.Next()
-        
-        if not face_normals:
-            return {
-                "primary_direction": [0, 0, 1],
-                "confidence": 0.5,
-                "face_count": 0
-            }
-        
-        # 使用面积作为权重计算加权平均法向量
-        total_area = sum(face_areas)
-        weighted_normal = np.array([0.0, 0.0, 0.0])
-        
-        for i, normal in enumerate(face_normals):
-            weight = face_areas[i] / total_area if total_area > 0 else 1.0 / len(face_normals)
-            weighted_normal += normal * weight
-        
-        # 归一化
-        length = np.linalg.norm(weighted_normal)
-        if length > 0.001:
-            weighted_normal /= length
-        
-        # 计算法向量一致性（用于置信度）
-        dot_products = []
-        for normal in face_normals:
-            dot = np.dot(normal, weighted_normal)
-            dot_products.append(abs(dot))
-        
-        confidence = np.mean(dot_products) if dot_products else 0.5
-        
-        return {
-            "primary_direction": weighted_normal.tolist(),
-            "confidence": float(confidence),
-            "face_count": len(face_normals),
-            "normal_distribution": face_normals
-        }
-    
+        """分析产品几何属性（扩展基类版本，增加法向量统计）"""
+        result = super()._analyze_product_geometry(shape)
+        result["normal_statistics"] = self._analyze_parting_direction(shape)
+        return result
+
+    def _split_cavity_core(self, shape: Any, parting_surface: Any) -> Tuple[Any, Any]:
+        """分离型腔和型芯（铝泡沫使用更大余量）"""
+        return super()._split_cavity_core(shape, parting_surface, margin=25)
+
     def _detect_parting_surfaces(self, shape: Any, analysis: Dict) -> Dict[str, Any]:
         """
         检测分型面（泡沫模具专用）
@@ -445,6 +310,33 @@ class AluminumFoamMoldGenerator:
         1. 优先选择 Z 轴方向分型（上下开模）
         2. 分型面位置选在产品的最大轮廓处，即包围盒的 Z 方向中心
         """
+<<<<<<< HEAD
+        primary_parting = self._detect_primary_parting(shape, analysis)
+        parting_surface = primary_parting["surface"]
+        parting_line = self.optimize_parting_line(primary_parting["line"])
+        primary_direction = primary_parting["direction"]
+
+        additional_surfaces = []
+
+        bbox = analysis["bounding_box"]
+        center = bbox["center"]
+
+        dims = bbox["dimensions"]
+        max_dim = max(dims)
+        min_dim = min(dims)
+
+        if max_dim / min_dim > 5:
+            vertical_plane = gp_Pln(gp_Pnt(center[0], center[1], center[2]), gp_Dir(1, 0, 0))
+            try:
+                vertical_surface = BRepBuilderAPI_MakeFace(vertical_plane).Face()
+                additional_surfaces.append({
+                    "surface": vertical_surface,
+                    "direction": [1, 0, 0],
+                    "reason": "产品扁平，需要垂直分型"
+                })
+            except Exception:
+                pass
+=======
         # 1. 尝试 AI 模型
         if self.ai_parting_detector is not None:
             try:
@@ -474,199 +366,106 @@ class AluminumFoamMoldGenerator:
 
         # 3. 计算分型线
         parting_line = self._calculate_parting_line(shape, parting_surface)
+>>>>>>> 77c4885a4020b609f4964184661f42e936814c4f
 
         return {
             "primary_surface": parting_surface,
             "primary_line": parting_line,
             "primary_direction": primary_direction,
+<<<<<<< HEAD
+            "confidence": primary_parting["confidence"],
+            "method": primary_parting["method"],
+            "additional_surfaces": additional_surfaces,
+            "surface_count": 1 + len(additional_surfaces)
+=======
             "confidence": 0.95,  # Z 轴分型置信度高
             "additional_surfaces": [],
             "surface_count": 1,
             "parting_direction": "Z",
             "parting_position_z": parting_z,
+>>>>>>> 77c4885a4020b609f4964184661f42e936814c4f
         }
-    
-    def _detect_undercut_regions(self, shape: Any, parting_surface: Any) -> List[Dict]:
-        """
-        检测倒扣区域
-        """
-        undercut_regions = []
-        
-        try:
-            # 获取分型面法向量
-            surface = BRepAdaptor_Surface(parting_surface)
-            parting_normal = surface.Plane().Position().Direction()
-            
-            # 遍历所有面，检查是否存在倒扣
-            explorer = TopExp_Explorer(shape, TopAbs_FACE)
-            
-            while explorer.More():
-                face = TopoDS_Face(explorer.Current())
-                
-                try:
-                    face_surface = BRepAdaptor_Surface(face)
-                    
-                    if face_surface.GetType() == 0:  # Plane
-                        face_normal = face_surface.Plane().Position().Direction()
-                        
-                        # 计算与分型面法向量的夹角
-                        dot = (face_normal.X() * parting_normal.X() + 
-                               face_normal.Y() * parting_normal.Y() + 
-                               face_normal.Z() * parting_normal.Z())
-                        
-                        # 如果夹角大于90度，认为是倒扣面（法线方向与分型面相反）
-                        if dot < -0.7:  # 约>135度
-                            # 获取面的边界框中心
-                            bbox = Bnd_Box()
-                            brepbndlib_Add(face, bbox)
-                            center = bbox.Center()
-                            
-                            # 检查该区域是否在分型面下方
-                            if center.Z() < 0:  # 简化判断
-                                undercut_regions.append({
-                                    "type": "negative_draft",
-                                    "location": [center.X(), center.Y(), center.Z()],
-                                    "severity": abs(dot)
-                                })
-                
-                except Exception as e:
-                    logger.debug(f"倒扣检测失败: {e}")
-                
-                explorer.Next()
-            
-            logger.info(f"检测到 {len(undercut_regions)} 个倒扣区域")
-            
-        except Exception as e:
-            logger.warning(f"倒扣区域检测异常: {e}")
-        
-        return undercut_regions
-    
-    def _calculate_parting_line(self, shape: Any, parting_surface: Any) -> List[List[float]]:
-        """计算真实的分型线"""
-        try:
-            section = BRepAlgoAPI_Section(shape, parting_surface)
-            section.Build()
-            
-            if not section.IsDone():
-                logger.warning("截面运算未完成")
-                return self._simple_parting_line(shape)
-            
-            # 提取交线点
-            edges = []
-            explorer = TopExp_Explorer(section.Shape(), TopAbs_EDGE)
-            
-            while explorer.More():
-                edge = TopoDS_Edge(explorer.Current())
-                
-                try:
-                    curve = BRepAdaptor_Curve(edge)
-                    first_param = curve.FirstParameter()
-                    last_param = curve.LastParameter()
-                    
-                    # 采样点
-                    num_points = max(10, int((last_param - first_param) / 0.5))
-                    step = (last_param - first_param) / num_points
-                    
-                    for i in range(num_points + 1):
-                        param = first_param + i * step
-                        point = curve.Value(param)
-                        edges.append([point.X(), point.Y(), point.Z()])
-                except Exception:
-                    pass
-                
-                explorer.Next()
-            
-            if not edges:
-                return self._simple_parting_line(shape)
-            
-            logger.info(f"计算得到 {len(edges)} 个分型线点")
-            return edges
-            
-        except Exception as e:
-            logger.error(f"分型线计算失败: {e}")
-            return self._simple_parting_line(shape)
-    
-    def _simple_parting_line(self, shape: Any) -> List[List[float]]:
-        """简化的分型线"""
-        try:
-            bbox = Bnd_Box()
-            brepbndlib_Add(shape, bbox)
-            xmin, ymin, zmin, xmax, ymax, zmax = bbox.Get()
-            center_z = (zmin + zmax) / 2
-            
-            return [
-                [xmin, ymin, center_z],
-                [xmax, ymin, center_z],
-                [xmax, ymax, center_z],
-                [xmin, ymax, center_z],
-                [xmin, ymin, center_z]
-            ]
-        except Exception:
-            logger.warning("分型线简化计算失败，返回空列表")
-            return []
-    
+
+    def _build_undercut_regions(self, undercut_analysis: Dict[str, Any]) -> List[Dict[str, Any]]:
+        """将侧向机构分析结果转换为兼容旧结构的倒扣区域列表。"""
+        undercut_faces = undercut_analysis.get("undercut_faces", [])
+        regions = []
+
+        for face in undercut_faces:
+            regions.append({
+                "type": "negative_draft",
+                "location": face.get("center", [0, 0, 0]),
+                "severity": face.get("severity", "medium"),
+                "area": face.get("area", 0),
+                "is_outer": face.get("is_outer", False),
+                "face_index": face.get("face_index"),
+            })
+
+        logger.info(f"转换得到 {len(regions)} 个兼容倒扣区域")
+        return regions
+
     def _smooth_parting_line(self, parting_line: List[List[float]]) -> List[List[float]]:
         """
         分型线平滑处理 - 使用B样条拟合
         """
         if len(parting_line) < 4:
             return parting_line
-        
+
         try:
             points = np.array(parting_line)
-            
-            # 简化的平滑算法：移动平均
+
             smoothed = []
             window_size = 3
-            
+
             for i in range(len(points)):
                 start = max(0, i - window_size // 2)
                 end = min(len(points), i + window_size // 2 + 1)
                 window = points[start:end]
-                
+
                 if len(window) > 0:
                     avg = np.mean(window, axis=0)
                     smoothed.append(avg.tolist())
-            
+
             return smoothed
-            
+
         except Exception as e:
             logger.warning(f"分型线平滑失败: {e}")
             return parting_line
-    
+
     def _assess_parting_line_smoothness(self, parting_line: List[List[float]]) -> float:
         """评估分型线平滑度"""
         if len(parting_line) < 3:
             return 0.0
-        
+
         try:
             points = np.array(parting_line)
-            
-            # 计算相邻线段角度变化
+
             angles = []
             for i in range(1, len(points) - 1):
                 v1 = points[i] - points[i-1]
                 v2 = points[i+1] - points[i]
-                
+
                 len1 = np.linalg.norm(v1)
                 len2 = np.linalg.norm(v2)
-                
+
                 if len1 > 0.001 and len2 > 0.001:
                     cos_angle = np.dot(v1, v2) / (len1 * len2)
                     cos_angle = max(-1, min(1, cos_angle))
                     angle = np.arccos(cos_angle)
                     angles.append(np.degrees(angle))
-            
+
             if angles:
                 avg_angle_change = np.mean(angles)
-                # 角度变化越小越平滑
                 smoothness = max(0, 100 - avg_angle_change * 2)
                 return smoothness
-            
+
             return 50.0
-            
+
         except Exception:
             return 50.0
+<<<<<<< HEAD
+
+=======
     
     def _apply_shrinkage_compensation(self, shape: Any) -> Any:
         """应用收缩率补偿（铝泡沫版本）"""
@@ -777,130 +576,62 @@ class AluminumFoamMoldGenerator:
             logger.error(f"分模失败: {e}")
             return shape, shape
     
+>>>>>>> 77c4885a4020b609f4964184661f42e936814c4f
     def _generate_mold_block(self, cavity: Any, analysis: Dict) -> Any:
         """生成完整的模具块（包含A/B板结构）"""
         try:
             bbox = analysis["bounding_box"]
             dims = bbox["dimensions"]
-            
-            # 模具总尺寸
+
             margin = 30
             length = dims[0] + 2 * margin
             width = dims[1] + 2 * margin
-            height = dims[2] + margin + 80  # 增加模架高度
-            
-            # 创建模具块
+            height = dims[2] + margin + 80
+
             mold_block = BRepPrimAPI_MakeBox(
                 gp_Pnt(-length/2, -width/2, -80),
                 gp_Pnt(length/2, width/2, height)
             ).Shape()
-            
+
             logger.info(f"模具块生成: {length}x{width}x{height} mm")
             return mold_block
-            
+
         except Exception as e:
             logger.error(f"模具块生成失败: {e}")
             return cavity
-    
-    def _extract_shape_geometry(self, shape: Any, shape_type: str) -> Dict[str, Any]:
-        """提取形状几何数据"""
-        try:
-            mesh = BRepMesh_IncrementalMesh(shape, 0.1)
-            mesh.Perform()
-            
-            vertices = []
-            faces = []
-            vertex_index = 0
-            
-            explorer = TopExp_Explorer(shape, TopAbs_FACE)
-            
-            while explorer.More():
-                face = TopoDS_Face(explorer.Current())
-                location = TopLoc_Location()
-                triangulation = BRep_Tool.Triangulation(face, location)
-                
-                if triangulation:
-                    nb_nodes = triangulation.NbNodes()
-                    for i in range(1, nb_nodes + 1):
-                        node = triangulation.Node(i)
-                        transformed = node.Transformed(location.Transformation())
-                        vertices.extend([
-                            float(transformed.X()),
-                            float(transformed.Y()),
-                            float(transformed.Z())
-                        ])
-                    
-                    nb_triangles = triangulation.NbTriangles()
-                    for i in range(1, nb_triangles + 1):
-                        triangle = triangulation.Triangle(i)
-                        idx1 = triangle.Value(1) + vertex_index - 1
-                        idx2 = triangle.Value(2) + vertex_index - 1
-                        idx3 = triangle.Value(3) + vertex_index - 1
-                        faces.extend([int(idx1), int(idx2), int(idx3)])
-                    
-                    vertex_index += nb_nodes
-                
-                explorer.Next()
-            
-            return {
-                "type": shape_type,
-                "vertices": vertices,
-                "faces": faces,
-                "vertex_count": len(vertices) // 3,
-                "face_count": len(faces) // 3
-            }
-            
-        except Exception as e:
-            logger.error(f"{shape_type}几何提取失败: {e}")
-            return {
-                "type": shape_type,
-                "vertices": [],
-                "faces": [],
-                "vertex_count": 0,
-                "face_count": 0
-            }
-    
+
     def _extract_parting_surface_geometry(self, surface: Any) -> Dict[str, Any]:
         """提取分型面几何数据"""
-        try:
-            adaptor = BRepAdaptor_Surface(surface)
-            normal = adaptor.Plane().Position().Direction()
-            
-            return {
-                "type": "plane",
-                "normal": [normal.X(), normal.Y(), normal.Z()],
-                "origin": [0, 0, 0],
-                "bounds": {"u_range": [-200, 200], "v_range": [-200, 200]}
-            }
-        except Exception:
-            return {
-                "type": "plane",
-                "normal": [0, 0, 1],
-                "origin": [0, 0, 0],
-                "bounds": {"u_range": [-200, 200], "v_range": [-200, 200]}
-            }
-    
-    def _create_parting_surface_from_ai(self, ai_result: Dict, analysis: Dict) -> Dict:
+        metadata = self._extract_plane_metadata(surface)
+        return {
+            "type": "plane",
+            "normal": metadata["normal"],
+            "origin": metadata["origin"],
+            "bounds": metadata["bounds"],
+        }
+
+    def _create_parting_surface_from_ai(self, ai_result: Dict, analysis: Dict,
+                                        shape: Any = None) -> Dict:
         """从 AI 结果创建分型面"""
         origin = ai_result.get("origin", [0, 0, 0])
         normal = ai_result.get("normal", [0, 0, 1])
-        
+
         parting_plane = gp_Pln(
             gp_Pnt(origin[0], origin[1], origin[2]),
             gp_Dir(normal[0], normal[1], normal[2])
         )
-        
+
         try:
             parting_surface = BRepBuilderAPI_MakeFace(parting_plane).Face()
         except Exception:
             parting_plane = gp_Pln(gp_Pnt(0, 0, 0), gp_Dir(0, 0, 1))
             parting_surface = BRepBuilderAPI_MakeFace(parting_plane).Face()
-        
-        parting_line = self._calculate_parting_line(
-            analysis.get("shape", None), 
-            parting_surface
-        )
-        
+
+        if shape is not None:
+            parting_line = self._calculate_parting_line(shape, parting_surface)
+        else:
+            parting_line = []
+
         return {
             "primary_surface": parting_surface,
             "primary_line": parting_line,
@@ -909,22 +640,36 @@ class AluminumFoamMoldGenerator:
             "additional_surfaces": [],
             "surface_count": 1
         }
-    
+
     # ==================== 辅助方法 ====================
-    
+
     def _calculate_mold_size(self, analysis: Dict) -> Dict[str, float]:
         """估算模具尺寸"""
         dims = analysis["bounding_box"]["dimensions"]
         margin = 30
-        
+
         return {
             "length": dims[0] + 2 * margin,
             "width": dims[1] + 2 * margin,
             "height": dims[2] + margin + 80,
             "margin": margin
         }
-    
+
     def _calculate_clamping_force(self, analysis: Dict) -> str:
+<<<<<<< HEAD
+        """估算锁模力"""
+        volume_cm3 = analysis.get("volume", 0) / 1000
+
+        if volume_cm3 < 10:
+            return "30-50 吨"
+        elif volume_cm3 < 50:
+            return "50-100 吨"
+        elif volume_cm3 < 200:
+            return "100-200 吨"
+        else:
+            return "200+ 吨"
+
+=======
         """
         估算锁模力（泡沫模具专用）
 
@@ -949,33 +694,34 @@ class AluminumFoamMoldGenerator:
         weight_g = volume_cm3 * self.material_density
         return f"{weight_g:.2f} g"
     
+>>>>>>> 77c4885a4020b609f4964184661f42e936814c4f
     def _estimate_wall_thickness(self, analysis: Dict) -> str:
         """估算壁厚范围"""
         volume = analysis.get("volume", 0)
         surface_area = analysis.get("surface_area", 0)
-        
+
         if surface_area > 0 and volume > 0:
             avg_thickness = (volume / surface_area) * 0.6
             return f"{avg_thickness * 0.7:.2f} - {avg_thickness * 1.3:.2f} mm"
-        
-        return "无法估算 (缺少几何数据)"
-    
+
+        return "10.0 - 30.0 mm (铝泡沫典型)"
+
     def _calculate_complexity_score(self, analysis: Dict) -> float:
         """计算复杂度评分"""
         volume = analysis.get("volume", 0)
         surface_area = analysis.get("surface_area", 0)
-        
+
         if surface_area > 0 and volume > 0:
             thickness_ratio = (volume / surface_area) * 0.6
             complexity = min(thickness_ratio / 5.0, 10.0)
             return round(complexity, 1)
-        
-        return 0.0
-    
+
+        return 5.0
+
     def _estimate_cycle_time(self, analysis: Dict) -> str:
         """估算成型周期"""
         volume_cm3 = analysis.get("volume", 0) / 1000
-        
+
         if volume_cm3 < 10:
             return "60-90 秒"
         elif volume_cm3 < 50:
@@ -984,58 +730,18 @@ class AluminumFoamMoldGenerator:
             return "120-180 秒"
         else:
             return "180-300 秒"
-    
+
     def _identify_sink_mark_risk(self, analysis: Dict) -> str:
         """识别缩痕风险"""
         return "中 - 铝泡沫壁厚大，需控制发泡均匀性"
-    
-    def _assess_warpage_risk(self, analysis: Dict) -> str:
-        """评估翘曲风险"""
-        bbox = analysis.get("bounding_box", {}).get("dimensions", [0, 0, 0])
-        aspect_ratio = max(bbox) / min(bbox)
-        
-        if aspect_ratio > 5:
-            return "高 - 建议增加加强筋"
-        elif aspect_ratio > 3:
-            return "中 - 需优化冷却"
-        else:
-            return "低"
-    
+
     def _assess_venting_requirement(self, analysis: Dict) -> str:
         """评估排气需求"""
         volume = analysis.get("volume", 0)
-        
-        if volume > 50000000:  # > 50 cm³
+
+        if volume > 50000000:
             return "高 - 需要加强排气系统"
-        elif volume > 10000000:  # > 10 cm³
+        elif volume > 10000000:
             return "中 - 建议标准排气"
         else:
             return "低 - 常规排气即可"
-    
-    def _get_inertia_matrix(self, props: GProp_GProps) -> List[List[float]]:
-        """获取惯性矩阵"""
-        inertia = props.MatrixOfInertia()
-        return [
-            [inertia.Value(1, 1), inertia.Value(1, 2), inertia.Value(1, 3)],
-            [inertia.Value(2, 1), inertia.Value(2, 2), inertia.Value(2, 3)],
-            [inertia.Value(3, 1), inertia.Value(3, 2), inertia.Value(3, 3)]
-        ]
-    
-    def _calculate_parting_line_length(self, parting_line: List) -> float:
-        """计算分型线长度"""
-        if not parting_line or len(parting_line) < 2:
-            return 0.0
-        
-        total_length = 0.0
-        for i in range(1, len(parting_line)):
-            p1 = np.array(parting_line[i-1])
-            p2 = np.array(parting_line[i])
-            total_length += np.linalg.norm(p2 - p1)
-        
-        return total_length
-    
-    def set_ai_model(self, parting_detector: Any = None, draft_analyzer: Any = None):
-        """设置 AI 模型接口"""
-        self.ai_parting_detector = parting_detector
-        self.ai_draft_analyzer = draft_analyzer
-        logger.info("AI 模型接口已设置")

src/core/cad_exporter.py

@@ -0,0 +1,426 @@
+"""
+CAD 文件导出模块
+
+支持导出格式：
+1. STEP (ISO 10303) - 推荐，UG/NX、FreeCAD、SolidWorks 通用
+2. IGES (Initial Graphics Exchange Specification) - 兼容旧系统
+3. STL (STereoLithography) - 网格格式，3D打印/快速预览
+4. BRep (Boundary Representation) - OpenCASCADE 原生格式
+
+导出内容：
+- 型腔 (Cavity)
+- 型芯 (Core)
+- 分型面 (Parting Surface)
+- A板/B板
+- 模具块
+- 完整模具装配体（多形状合并）
+
+UG/NX 导入建议：
+- 优先使用 STEP AP214 或 AP242 格式
+- IGES 作为备选
+- STL 仅用于预览，不可编辑
+
+FreeCAD 导入建议：
+- STEP AP214 最佳兼容性
+- BRep 可直接在 FreeCAD 的 OpenCASCADE 内核中打开
+"""
+
+import os
+from typing import Dict, List, Any, Optional
+from pathlib import Path
+from utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+class CADExporter:
+    """CAD 文件导出器"""
+
+    def __init__(self, output_dir: str = "./exports"):
+        self.output_dir = output_dir
+        os.makedirs(output_dir, exist_ok=True)
+
+    def export_step(self, shape: Any, filepath: str,
+                     schema: str = "AP214") -> bool:
+        """
+        导出 STEP 文件
+
+        Args:
+            shape: OpenCASCADE TopoDS_Shape
+            filepath: 输出文件路径
+            schema: STEP 应用协议 (AP203/AP214/AP242)
+
+        Returns:
+            是否成功
+        """
+        try:
+            from OCC.Core.STEPControl import (
+                STEPControl_Writer,
+                STEPControl_AsIs,
+            )
+            from OCC.Core.Interface import Interface_Static
+
+            writer = STEPControl_Writer()
+
+            if schema == "AP203":
+                Interface_Static.SetCVal("write.step.schema", "AP203")
+            elif schema == "AP242":
+                Interface_Static.SetCVal("write.step.schema", "AP242")
+            else:
+                Interface_Static.SetCVal("write.step.schema", "AP214")
+
+            writer.Transfer(shape, STEPControl_AsIs)
+
+            status = writer.Write(filepath)
+
+            if status == 1:
+                file_size = os.path.getsize(filepath) if os.path.exists(filepath) else 0
+                logger.info(f"STEP 导出成功: {filepath} ({file_size} bytes, {schema})")
+                return True
+            else:
+                logger.error(f"STEP 导出失败: 写入状态={status}")
+                return False
+
+        except ImportError as e:
+            logger.error(f"STEP 导出依赖缺失: {e}")
+            return False
+        except Exception as e:
+            logger.error(f"STEP 导出失败: {e}")
+            return False
+
+    def export_iges(self, shape: Any, filepath: str) -> bool:
+        """
+        导出 IGES 文件
+
+        Args:
+            shape: OpenCASCADE TopoDS_Shape
+            filepath: 输出文件路径
+
+        Returns:
+            是否成功
+        """
+        try:
+            from OCC.Core.IGESControl import IGESControl_Writer
+            from OCC.Core.Interface import Interface_Static
+
+            Interface_Static.SetCVal("write.iges.brep.mode", "0")
+
+            writer = IGESControl_Writer()
+            writer.AddShape(shape)
+            writer.ComputeModel()
+
+            status = writer.Write(filepath)
+
+            if status:
+                file_size = os.path.getsize(filepath) if os.path.exists(filepath) else 0
+                logger.info(f"IGES 导出成功: {filepath} ({file_size} bytes)")
+                return True
+            else:
+                logger.error("IGES 导出失败: 写入返回 False")
+                return False
+
+        except ImportError as e:
+            logger.error(f"IGES 导出依赖缺失: {e}")
+            return False
+        except Exception as e:
+            logger.error(f"IGES 导出失败: {e}")
+            return False
+
+    def export_stl(self, shape: Any, filepath: str,
+                    ascii_mode: bool = True,
+                    deflection: float = 0.1) -> bool:
+        """
+        导出 STL 文件
+
+        Args:
+            shape: OpenCASCADE TopoDS_Shape
+            filepath: 输出文件路径
+            ascii_mode: True=ASCII格式, False=二进制格式
+            deflection: 网格偏差（越小越精细）
+
+        Returns:
+            是否成功
+        """
+        try:
+            from OCC.Core.StlAPI import StlAPI_Writer
+            from OCC.Core.BRepMesh import BRepMesh_IncrementalMesh
+
+            mesh = BRepMesh_IncrementalMesh(shape, deflection)
+            mesh.Perform()
+
+            if not mesh.IsDone():
+                logger.warning("STL 网格化未完成，尝试继续导出")
+
+            writer = StlAPI_Writer()
+            writer.AsciiMode = ascii_mode
+
+            writer.Write(shape, filepath)
+
+            if os.path.exists(filepath) and os.path.getsize(filepath) > 0:
+                file_size = os.path.getsize(filepath)
+                logger.info(f"STL 导出成功: {filepath} ({file_size} bytes)")
+                return True
+            else:
+                logger.error("STL 导出失败: 文件为空或不存在")
+                return False
+
+        except ImportError as e:
+            logger.error(f"STL 导出依赖缺失: {e}")
+            return False
+        except Exception as e:
+            logger.error(f"STL 导出失败: {e}")
+            return False
+
+    def export_brep(self, shape: Any, filepath: str) -> bool:
+        """
+        导出 BRep 文件（OpenCASCADE 原生格式）
+
+        FreeCAD 可直接导入此格式
+
+        Args:
+            shape: OpenCASCADE TopoDS_Shape
+            filepath: 输出文件路径
+
+        Returns:
+            是否成功
+        """
+        try:
+            from OCC.Core.BRepTools import BRepTools_Write
+
+            BRepTools_Write(shape, filepath)
+
+            if os.path.exists(filepath) and os.path.getsize(filepath) > 0:
+                file_size = os.path.getsize(filepath)
+                logger.info(f"BRep 导出成功: {filepath} ({file_size} bytes)")
+                return True
+            else:
+                logger.error("BRep 导出失败: 文件为空或不存在")
+                return False
+
+        except ImportError as e:
+            logger.error(f"BRep 导出依赖缺失: {e}")
+            return False
+        except Exception as e:
+            logger.error(f"BRep 导出失败: {e}")
+            return False
+
+    def export_mold_results(self, cavity_data: Dict,
+                             base_filename: str,
+                             formats: List[str] = None,
+                             components: List[str] = None) -> Dict[str, Any]:
+        """
+        批量导出模具设计结果
+
+        Args:
+            cavity_data: generate_mold_cavities() 的返回结果
+            base_filename: 基础文件名（不含扩展名）
+            formats: 导出格式列表 ["step", "iges", "stl", "brep"]
+            components: 导出组件列表 ["cavity", "core", "parting_surface", "all"]
+
+        Returns:
+            导出结果摘要
+        """
+        if formats is None:
+            formats = ["step", "stl"]
+        if components is None:
+            components = ["cavity", "core"]
+
+        export_dir = os.path.join(self.output_dir, base_filename)
+        os.makedirs(export_dir, exist_ok=True)
+
+        results = {
+            "base_filename": base_filename,
+            "export_dir": export_dir,
+            "files": [],
+            "errors": [],
+        }
+
+        shape_map = {
+            "cavity": ("cavity", "型腔"),
+            "core": ("core", "型芯"),
+            "parting_surface": ("parting_surface", "分型面"),
+        }
+
+        shapes_to_export = []
+
+        for comp in components:
+            if comp == "all":
+                for key, (data_key, label) in shape_map.items():
+                    shape = cavity_data.get(data_key)
+                    if shape is not None:
+                        shapes_to_export.append((key, label, shape))
+                break
+            elif comp in shape_map:
+                data_key, label = shape_map[comp]
+                shape = cavity_data.get(data_key)
+                if shape is not None:
+                    shapes_to_export.append((comp, label, shape))
+                else:
+                    results["errors"].append(f"{label}形状不可用")
+
+        for comp_name, label, shape in shapes_to_export:
+            for fmt in formats:
+                filepath = os.path.join(export_dir, f"{base_filename}_{comp_name}.{fmt}")
+
+                success = False
+                if fmt == "step":
+                    success = self.export_step(shape, filepath)
+                elif fmt == "iges":
+                    success = self.export_iges(shape, filepath)
+                elif fmt == "stl":
+                    success = self.export_stl(shape, filepath)
+                elif fmt == "brep":
+                    success = self.export_brep(shape, filepath)
+                else:
+                    results["errors"].append(f"不支持的格式: {fmt}")
+                    continue
+
+                if success:
+                    file_size = os.path.getsize(filepath)
+                    results["files"].append({
+                        "component": comp_name,
+                        "component_label": label,
+                        "format": fmt,
+                        "filepath": filepath,
+                        "filename": os.path.basename(filepath),
+                        "size_bytes": file_size,
+                        "size_readable": self._format_file_size(file_size),
+                    })
+                else:
+                    results["errors"].append(f"{label} ({fmt}) 导出失败")
+
+        results["total_files"] = len(results["files"])
+        results["total_errors"] = len(results["errors"])
+
+        logger.info(f"模具导出完成: {results['total_files']} 个文件, "
+                    f"{results['total_errors']} 个错误")
+
+        return results
+
+    def export_assembly_step(self, shapes_with_names: List[Tuple[Any, str]],
+                              filepath: str,
+                              schema: str = "AP214") -> bool:
+        """
+        导出装配体 STEP 文件（多个形状写入同一个 STEP 文件）
+
+        UG/NX 和 FreeCAD 可以识别装配体中的各个零件
+
+        Args:
+            shapes_with_names: [(shape, name), ...] 形状和名称列表
+            filepath: 输出文件路径
+            schema: STEP 协议版本
+
+        Returns:
+            是否成功
+        """
+        try:
+            from OCC.Core.STEPControl import (
+                STEPControl_Writer,
+                STEPControl_AsIs,
+            )
+            from OCC.Core.Interface import Interface_Static
+
+            writer = STEPControl_Writer()
+
+            if schema == "AP203":
+                Interface_Static.SetCVal("write.step.schema", "AP203")
+            elif schema == "AP242":
+                Interface_Static.SetCVal("write.step.schema", "AP242")
+            else:
+                Interface_Static.SetCVal("write.step.schema", "AP214")
+
+            for shape, name in shapes_with_names:
+                try:
+                    writer.Transfer(shape, STEPControl_AsIs)
+                    logger.info(f"已添加到装配体: {name}")
+                except Exception as e:
+                    logger.warning(f"添加形状 {name} 失败: {e}")
+
+            status = writer.Write(filepath)
+
+            if status == 1:
+                file_size = os.path.getsize(filepath) if os.path.exists(filepath) else 0
+                logger.info(f"装配体 STEP 导出成功: {filepath} ({file_size} bytes)")
+                return True
+            else:
+                logger.error(f"装配体 STEP 导出失败: 状态={status}")
+                return False
+
+        except Exception as e:
+            logger.error(f"装配体 STEP 导出失败: {e}")
+            return False
+
+    def get_export_recommendations(self, target_software: str = "ug") -> Dict[str, Any]:
+        """
+        获取针对目标软件的导出建议
+
+        Args:
+            target_software: 目标软件 (ug/nx, freecad, solidworks, autocad)
+
+        Returns:
+            导出建议
+        """
+        recommendations = {
+            "ug": {
+                "name": "UG/NX",
+                "primary_format": "step",
+                "step_schema": "AP242",
+                "secondary_format": "iges",
+                "notes": [
+                    "推荐 STEP AP242 格式，支持颜色和装配信息",
+                    "IGES 作为备选，但可能丢失拓扑信息",
+                    "STL 仅用于预览，不可参数化编辑",
+                    "导入时选择 '保留原始坐标系'",
+                ],
+                "import_settings": {
+                    "step": "File → Import → STEP203/214/242",
+                    "iges": "File → Import → IGES",
+                    "stl": "File → Import → STL (仅可视化)",
+                },
+            },
+            "freecad": {
+                "name": "FreeCAD",
+                "primary_format": "step",
+                "step_schema": "AP214",
+                "secondary_format": "brep",
+                "notes": [
+                    "STEP AP214 最佳兼容性",
+                    "BRep 是 OpenCASCADE 原生格式，FreeCAD 可直接打开",
+                    "导入后可在 Part 工作台中编辑",
+                    "推荐使用 FreeCAD 0.21+ 版本",
+                ],
+                "import_settings": {
+                    "step": "File → Import → 选择 STEP 文件",
+                    "iges": "File → Import → 选择 IGES 文件",
+                    "brep": "File → Open → 选择 BRep 文件",
+                    "stl": "File → Import → Mesh 格式",
+                },
+            },
+            "solidworks": {
+                "name": "SolidWorks",
+                "primary_format": "step",
+                "step_schema": "AP214",
+                "secondary_format": "iges",
+                "notes": [
+                    "STEP AP214 最佳兼容性",
+                    "导入后自动识别为实体",
+                    "IGES 可能产生曲面而非实体",
+                ],
+                "import_settings": {
+                    "step": "File → Open → STEP 文件",
+                    "iges": "File → Open → IGES 文件",
+                },
+            },
+        }
+
+        return recommendations.get(target_software, recommendations["ug"])
+
+    @staticmethod
+    def _format_file_size(size_bytes: int) -> str:
+        """格式化文件大小"""
+        if size_bytes < 1024:
+            return f"{size_bytes} B"
+        elif size_bytes < 1024 * 1024:
+            return f"{size_bytes / 1024:.1f} KB"
+        else:
+            return f"{size_bytes / (1024 * 1024):.1f} MB"

src/core/cavity_layout_optimizer.py

@@ -0,0 +1,437 @@
+"""
+多型腔布局优化模块
+
+功能：
+1. 支持矩形、圆形、H型等常见多型腔排列方式
+2. 基于产品尺寸和模架尺寸自动计算最优布局
+3. 流道系统自动设计
+4. 流动平衡评估
+5. 材料利用率计算
+
+布局策略：
+- 1穴：中心单型腔
+- 2穴：对称排列
+- 4穴：2x2 矩阵排列
+- 8穴：2x4 矩阵排列
+- 16穴：4x4 矩阵排列
+- 圆形排列：适用于圆形产品
+"""
+
+from typing import Dict, List, Any, Optional, Tuple
+import math
+import numpy as np
+from utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+class CavityLayoutOptimizer:
+    """多型腔布局优化器"""
+
+    LAYOUT_RECTANGULAR = "rectangular"
+    LAYOUT_CIRCULAR = "circular"
+    LAYOUT_H_SHAPE = "h_shape"
+    LAYOUT_INLINE = "inline"
+
+    def __init__(self):
+        self.runner_diameter = 5.0
+        self.gate_diameter = 1.5
+        self.cavity_margin = 15.0
+        self.runner_margin = 25.0
+
+    def optimize_layout(self, product_bbox: Dict, cavity_count: int,
+                        mold_base_size: Optional[Dict] = None,
+                        layout_type: str = "auto",
+                        product_shape: Any = None) -> Dict[str, Any]:
+        """
+        优化多型腔布局
+
+        Args:
+            product_bbox: 产品边界框 {"dimensions": [dx, dy, dz]}
+            cavity_count: 型腔数量
+            mold_base_size: 模架尺寸 {"length": L, "width": W}
+            layout_type: 布局类型 (auto/rectangular/circular/h_shape/inline)
+            product_shape: 产品形状（可选，用于精确计算）
+
+        Returns:
+            {
+                "layout_type": str,
+                "cavity_positions": List[[x, y, z]],
+                "cavity_rotations": List[[rx, ry, rz]],
+                "runner_system": Dict,
+                "balance_score": float,
+                "material_efficiency": float,
+                "mold_size": Dict,
+                "recommendations": List[str]
+            }
+        """
+        logger.info(f"开始多型腔布局优化: {cavity_count}穴, 布局={layout_type}")
+
+        dims = product_bbox.get("dimensions", [100, 100, 50])
+
+        if layout_type == "auto":
+            layout_type = self._recommend_layout(cavity_count, dims)
+
+        if layout_type == self.LAYOUT_RECTANGULAR:
+            result = self._layout_rectangular(dims, cavity_count, mold_base_size)
+        elif layout_type == self.LAYOUT_CIRCULAR:
+            result = self._layout_circular(dims, cavity_count, mold_base_size)
+        elif layout_type == self.LAYOUT_H_SHAPE:
+            result = self._layout_h_shape(dims, cavity_count, mold_base_size)
+        elif layout_type == self.LAYOUT_INLINE:
+            result = self._layout_inline(dims, cavity_count, mold_base_size)
+        else:
+            result = self._layout_rectangular(dims, cavity_count, mold_base_size)
+
+        result["runner_system"] = self._design_runner_system(
+            result["cavity_positions"], cavity_count, layout_type
+        )
+        result["balance_score"] = self._evaluate_flow_balance(
+            result["cavity_positions"], result["runner_system"]
+        )
+        result["material_efficiency"] = self._calculate_material_efficiency(
+            dims, cavity_count, result["mold_size"]
+        )
+        result["recommendations"] = self._generate_recommendations(
+            result, cavity_count, dims
+        )
+
+        logger.info(f"布局优化完成: {layout_type}, 平衡度={result['balance_score']:.2f}, "
+                    f"材料利用率={result['material_efficiency']:.2%}")
+
+        return result
+
+    def _recommend_layout(self, cavity_count: int, dims: List[float]) -> str:
+        """根据型腔数量和产品尺寸推荐布局方式"""
+        aspect_ratio = max(dims[:2]) / min(dims[:2]) if min(dims[:2]) > 0 else 1
+
+        if cavity_count == 1:
+            return self.LAYOUT_RECTANGULAR
+        elif cavity_count == 2:
+            if aspect_ratio > 2:
+                return self.LAYOUT_INLINE
+            return self.LAYOUT_RECTANGULAR
+        elif cavity_count <= 4:
+            return self.LAYOUT_RECTANGULAR
+        elif cavity_count <= 8:
+            if aspect_ratio > 2:
+                return self.LAYOUT_H_SHAPE
+            return self.LAYOUT_RECTANGULAR
+        else:
+            return self.LAYOUT_H_SHAPE
+
+    def _layout_rectangular(self, dims: List[float], cavity_count: int,
+                            mold_base_size: Optional[Dict]) -> Dict:
+        """矩形矩阵排列"""
+        rows, cols = self._calculate_grid(cavity_count)
+
+        spacing_x = dims[0] + 2 * self.cavity_margin
+        spacing_y = dims[1] + 2 * self.cavity_margin
+
+        positions = []
+        rotations = []
+
+        for r in range(rows):
+            for c in range(cols):
+                if len(positions) >= cavity_count:
+                    break
+                x = (c - (cols - 1) / 2) * spacing_x
+                y = (r - (rows - 1) / 2) * spacing_y
+                positions.append([x, y, 0])
+                rotations.append([0, 0, 0])
+
+        total_length = cols * spacing_x + 2 * self.runner_margin
+        total_width = rows * spacing_y + 2 * self.runner_margin
+
+        mold_size = {
+            "length": max(total_length, mold_base_size.get("length", 0)) if mold_base_size else total_length,
+            "width": max(total_width, mold_base_size.get("width", 0)) if mold_base_size else total_width,
+        }
+
+        return {
+            "layout_type": self.LAYOUT_RECTANGULAR,
+            "cavity_positions": positions,
+            "cavity_rotations": rotations,
+            "grid": {"rows": rows, "cols": cols},
+            "spacing": {"x": spacing_x, "y": spacing_y},
+            "mold_size": mold_size,
+        }
+
+    def _layout_circular(self, dims: List[float], cavity_count: int,
+                         mold_base_size: Optional[Dict]) -> Dict:
+        """圆形排列"""
+        max_dim = max(dims[:2])
+        radius = max_dim / 2 + self.cavity_margin + self.runner_margin
+
+        positions = []
+        rotations = []
+
+        for i in range(cavity_count):
+            angle = 2 * math.pi * i / cavity_count
+            x = radius * math.cos(angle)
+            y = radius * math.sin(angle)
+            rot_z = -math.degrees(angle)
+            positions.append([x, y, 0])
+            rotations.append([0, 0, rot_z])
+
+        total_diameter = 2 * radius + max_dim + 2 * self.cavity_margin
+
+        mold_size = {
+            "length": total_diameter,
+            "width": total_diameter,
+        }
+
+        return {
+            "layout_type": self.LAYOUT_CIRCULAR,
+            "cavity_positions": positions,
+            "cavity_rotations": rotations,
+            "radius": radius,
+            "mold_size": mold_size,
+        }
+
+    def _layout_h_shape(self, dims: List[float], cavity_count: int,
+                        mold_base_size: Optional[Dict]) -> Dict:
+        """H型排列（适用于多型腔，流道平衡性好）"""
+        left_count = cavity_count // 2
+        right_count = cavity_count - left_count
+
+        spacing_x = dims[0] + 2 * self.cavity_margin
+        spacing_y = dims[1] + 2 * self.cavity_margin
+
+        positions = []
+        rotations = []
+
+        left_rows, left_cols = self._calculate_grid(left_count)
+        for r in range(left_rows):
+            for c in range(left_cols):
+                if len(positions) >= left_count:
+                    break
+                x = -(c + 1) * spacing_x - spacing_x / 2
+                y = (r - (left_rows - 1) / 2) * spacing_y
+                positions.append([x, y, 0])
+                rotations.append([0, 0, 0])
+
+        right_rows, right_cols = self._calculate_grid(right_count)
+        for r in range(right_rows):
+            for c in range(right_cols):
+                if len(positions) >= cavity_count:
+                    break
+                x = (c + 1) * spacing_x + spacing_x / 2
+                y = (r - (right_rows - 1) / 2) * spacing_y
+                positions.append([x, y, 0])
+                rotations.append([0, 0, 0])
+
+        total_length = (max(left_cols, right_cols) + 1) * spacing_x * 2 + 2 * self.runner_margin
+        total_width = max(left_rows, right_rows) * spacing_y + 2 * self.runner_margin
+
+        mold_size = {
+            "length": total_length,
+            "width": total_width,
+        }
+
+        return {
+            "layout_type": self.LAYOUT_H_SHAPE,
+            "cavity_positions": positions,
+            "cavity_rotations": rotations,
+            "mold_size": mold_size,
+        }
+
+    def _layout_inline(self, dims: List[float], cavity_count: int,
+                       mold_base_size: Optional[Dict]) -> Dict:
+        """直线排列（适用于细长产品）"""
+        spacing = max(dims[:2]) + 2 * self.cavity_margin
+
+        positions = []
+        rotations = []
+
+        for i in range(cavity_count):
+            offset = (i - (cavity_count - 1) / 2) * spacing
+            if dims[0] > dims[1]:
+                positions.append([offset, 0, 0])
+            else:
+                positions.append([0, offset, 0])
+            rotations.append([0, 0, 0])
+
+        if dims[0] > dims[1]:
+            total_length = cavity_count * spacing + 2 * self.runner_margin
+            total_width = dims[1] + 2 * self.cavity_margin + 2 * self.runner_margin
+        else:
+            total_length = dims[0] + 2 * self.cavity_margin + 2 * self.runner_margin
+            total_width = cavity_count * spacing + 2 * self.runner_margin
+
+        mold_size = {
+            "length": total_length,
+            "width": total_width,
+        }
+
+        return {
+            "layout_type": self.LAYOUT_INLINE,
+            "cavity_positions": positions,
+            "cavity_rotations": rotations,
+            "mold_size": mold_size,
+        }
+
+    def _calculate_grid(self, count: int) -> Tuple[int, int]:
+        """计算最接近正方形的网格排列"""
+        if count <= 0:
+            return 1, 1
+
+        best_rows = 1
+        best_cols = count
+        best_ratio = float("inf")
+
+        for r in range(1, count + 1):
+            if count % r == 0:
+                c = count // r
+                ratio = abs(r - c)
+                if ratio < best_ratio:
+                    best_ratio = ratio
+                    best_rows = r
+                    best_cols = c
+
+        return best_rows, best_cols
+
+    def _design_runner_system(self, positions: List[List[float]],
+                              cavity_count: int,
+                              layout_type: str) -> Dict:
+        """
+        设计流道系统
+
+        Returns:
+            {
+                "type": "cold_runner" | "hot_runner",
+                "main_runner": Dict,
+                "sub_runners": List[Dict],
+                "gates": List[Dict],
+                "total_volume": float
+            }
+        """
+        if cavity_count == 1:
+            return self._design_single_cavity_runner(positions[0])
+
+        main_runner = {
+            "start": [0, -positions[0][1] - 20, 0],
+            "end": [0, positions[0][1] + 20, 0] if len(positions) > 0 else [0, 20, 0],
+            "diameter": self.runner_diameter,
+            "length": 0,
+        }
+
+        sub_runners = []
+        gates = []
+        total_volume = 0
+
+        for i, pos in enumerate(positions):
+            sub_runner = {
+                "start": [0, pos[1], 0],
+                "end": pos,
+                "diameter": self.runner_diameter * 0.8,
+                "length": float(np.linalg.norm(np.array(pos))),
+            }
+            sub_runners.append(sub_runner)
+            total_volume += math.pi * (sub_runner["diameter"] / 2) ** 2 * sub_runner["length"]
+
+            gate = {
+                "position": pos,
+                "diameter": self.gate_diameter,
+                "type": "side_gate",
+                "length": 2.0,
+            }
+            gates.append(gate)
+            total_volume += math.pi * (gate["diameter"] / 2) ** 2 * gate["length"]
+
+        main_runner["length"] = max(
+            abs(p[1]) for p in positions
+        ) * 2 + 40 if positions else 40
+        total_volume += math.pi * (main_runner["diameter"] / 2) ** 2 * main_runner["length"]
+
+        return {
+            "type": "cold_runner",
+            "main_runner": main_runner,
+            "sub_runners": sub_runners,
+            "gates": gates,
+            "total_volume": total_volume,
+        }
+
+    def _design_single_cavity_runner(self, position: List[float]) -> Dict:
+        """单型腔流道设计"""
+        gate = {
+            "position": position,
+            "diameter": self.gate_diameter,
+            "type": "center_gate",
+            "length": 3.0,
+        }
+
+        return {
+            "type": "cold_runner",
+            "main_runner": None,
+            "sub_runners": [],
+            "gates": [gate],
+            "total_volume": math.pi * (gate["diameter"] / 2) ** 2 * gate["length"],
+        }
+
+    def _evaluate_flow_balance(self, positions: List[List[float]],
+                               runner_system: Dict) -> float:
+        """
+        评估流动平衡度 (0-1)
+
+        基于各型腔到主流道的距离差异
+        """
+        if len(positions) <= 1:
+            return 1.0
+
+        distances = []
+        for pos in positions:
+            dist = float(np.linalg.norm(np.array(pos)))
+            distances.append(dist)
+
+        max_dist = max(distances)
+        min_dist = min(distances)
+
+        if max_dist == 0:
+            return 1.0
+
+        imbalance = (max_dist - min_dist) / max_dist
+        balance_score = max(0, 1.0 - imbalance)
+
+        return round(balance_score, 3)
+
+    def _calculate_material_efficiency(self, product_dims: List[float],
+                                       cavity_count: int,
+                                       mold_size: Dict) -> float:
+        """计算材料利用率"""
+        product_area = product_dims[0] * product_dims[1]
+        total_product_area = product_area * cavity_count
+        mold_area = mold_size.get("length", 0) * mold_size.get("width", 0)
+
+        if mold_area <= 0:
+            return 0.0
+
+        return min(1.0, total_product_area / mold_area)
+
+    def _generate_recommendations(self, result: Dict, cavity_count: int,
+                                  dims: List[float]) -> List[str]:
+        """生成优化建议"""
+        recommendations = []
+
+        balance = result.get("balance_score", 0)
+        if balance < 0.8:
+            recommendations.append("流动平衡度偏低，建议调整型腔间距或使用热流道系统")
+
+        efficiency = result.get("material_efficiency", 0)
+        if efficiency < 0.4:
+            recommendations.append("材料利用率偏低，建议减少模架尺寸或增加型腔数量")
+
+        if cavity_count > 8:
+            recommendations.append("多型腔模具建议使用热流道系统以保证填充平衡")
+
+        if cavity_count > 16:
+            recommendations.append("型腔数量过多，建议分模评估加工可行性")
+
+        aspect = max(dims[:2]) / min(dims[:2]) if min(dims[:2]) > 0 else 1
+        if aspect > 3:
+            recommendations.append("产品长宽比大，建议使用侧浇口或扇形浇口")
+
+        if not recommendations:
+            recommendations.append("布局方案合理，建议进行模流分析验证")
+
+        return recommendations

src/core/geometry_analyzer.py

@@ -1,7 +1,5 @@
-# core/geometry_analyzer.py
-from typing import Dict, List, Any
-
-# import features  # 暂时注释掉，避免导入错误
+from typing import Dict, List, Any, Optional
+import math
 import numpy as np
 from models.schemas import (
     create_mold_feature,
@@ -14,7 +12,7 @@ logger = get_logger(__name__)
 
 
 class GeometryAnalyzer:
-    """几何分析器 - 简化版"""
+    """几何分析器 - 基于 OCC Shape 的精确分析"""
 
     def __init__(self):
         self.feature_thresholds = {
@@ -39,31 +37,30 @@ class GeometryAnalyzer:
 
     def analyze_mold_design(self, geometry_data: Dict[str, Any],
                             product_material: str = "ABS",
-                            mold_material: str = "Aluminum"
+                            mold_material: str = "Aluminum",
+                            shape: Any = None
                             ) -> Dict[str, Any]:
-        """分析模具设计"""
+        """分析模具设计
+
+        Args:
+            geometry_data: 几何数据字典（来自 stp_parser）
+            product_material: 产品材料
+            mold_material: 模具材料
+            shape: OCC TopoDS_Shape 对象（可选，提供后启用精确分析）
+        """
         logger.info("开始模具设计分析")
 
-        # 检测特征
-        features = self._detect_features(geometry_data)
+        features = self._detect_features(geometry_data, shape)
 
-        # 使用产品材料属性
         product_props = self.product_materials.get(product_material, {})
-        shrinkage = product_props.get("shrinkage", 0.005)
-
-        # 使用模具材料属性
         mold_props = self.mold_materials.get(mold_material, {})
-        thermal_cond = mold_props.get("thermal_conductivity", 200)
 
-        # 生成设计建议
         recommendations = self._generate_recommendations(
             geometry_data, features, product_material
         )
 
-        # 计算质量指标
         quality_metrics = self._calculate_quality_metrics(geometry_data, features)
 
-        # 生成分析摘要
         analysis_summary = self._generate_analysis_summary(geometry_data, features, recommendations)
 
         return create_analysis_result(
@@ -74,32 +71,111 @@ class GeometryAnalyzer:
             analysis_summary=analysis_summary
         )
 
-    def _detect_features(self, geometry_data: Dict[str, Any]) -> List[Dict[str, Any]]:
+    def _detect_features(self, geometry_data: Dict[str, Any],
+                         shape: Any = None) -> List[Dict[str, Any]]:
         """检测模具特征"""
         features = []
 
-        # 壁厚分析
-        wall_features = self._detect_wall_features(geometry_data)
+        wall_features = self._detect_wall_features(geometry_data, shape)
         features.extend(wall_features)
 
-        # 加强筋检测
-        rib_features = self._detect_rib_features(geometry_data)
+        rib_features = self._detect_rib_features(geometry_data, shape)
         features.extend(rib_features)
 
-        # BOSS柱检测
-        boss_features = self._detect_boss_features(geometry_data)
+        boss_features = self._detect_boss_features(geometry_data, shape)
         features.extend(boss_features)
 
-        # 拔模角度分析
-        draft_features = self._analyze_draft_angles(geometry_data)
+        draft_features = self._analyze_draft_angles(geometry_data, shape)
         features.extend(draft_features)
 
+        if shape is not None:
+            curvature_features = self._detect_curvature_features(shape)
+            features.extend(curvature_features)
+
+            fillet_features = self._detect_fillet_features(shape)
+            features.extend(fillet_features)
+
         logger.info(f"检测到 {len(features)} 个特征")
         return features
 
-    def _detect_wall_features(self, geometry_data: Dict[str, Any]) -> List[Dict[str, Any]]:
+    def _detect_wall_features(self, geometry_data: Dict[str, Any],
+                              shape: Any = None) -> List[Dict[str, Any]]:
         """检测壁厚特征"""
         features = []
+
+        if shape is not None:
+            precise_result = self._compute_precise_wall_thickness(shape)
+            if precise_result is not None:
+                min_thickness = precise_result["min_thickness"]
+                max_thickness = precise_result["max_thickness"]
+                avg_thickness = precise_result["avg_thickness"]
+                thickness_map = precise_result.get("thickness_map", {})
+                estimation_method = "precise"
+
+                if min_thickness < self.feature_thresholds["thin_wall"]:
+                    features.append(create_mold_feature(
+                        feature_type="thin_wall",
+                        confidence=0.92,
+                        location=precise_result.get("min_location",
+                                                     geometry_data.get("center_of_mass", [0, 0, 0])),
+                        dimensions=[min_thickness, avg_thickness, max_thickness],
+                        parameters={
+                            "min_thickness": round(min_thickness, 3),
+                            "max_thickness": round(max_thickness, 3),
+                            "avg_thickness": round(avg_thickness, 3),
+                            "estimation_method": estimation_method,
+                            "measured_pairs": len(thickness_map),
+                        },
+                        recommendations=[
+                            f"最小壁厚 {min_thickness:.2f}mm 过薄，建议增加到 {self.feature_thresholds['thin_wall']}mm 以上",
+                            "薄壁区域可能导致注塑填充不充分",
+                            "考虑增加加强筋以提高结构强度"
+                        ]
+                    ))
+                elif max_thickness > self.feature_thresholds["thick_wall"]:
+                    features.append(create_mold_feature(
+                        feature_type="thick_wall",
+                        confidence=0.88,
+                        location=precise_result.get("max_location",
+                                                     geometry_data.get("center_of_mass", [0, 0, 0])),
+                        dimensions=[min_thickness, avg_thickness, max_thickness],
+                        parameters={
+                            "min_thickness": round(min_thickness, 3),
+                            "max_thickness": round(max_thickness, 3),
+                            "avg_thickness": round(avg_thickness, 3),
+                            "estimation_method": estimation_method,
+                            "measured_pairs": len(thickness_map),
+                        },
+                        recommendations=[
+                            f"最大壁厚 {max_thickness:.2f}mm 过厚，可能产生缩痕",
+                            "考虑减薄壁厚或增加加强筋",
+                            "优化冷却系统设计"
+                        ]
+                    ))
+
+                if min_thickness > 0 and max_thickness > 0:
+                    uniformity = min_thickness / max_thickness if max_thickness > 0 else 1.0
+                    if uniformity < 0.5:
+                        features.append(create_mold_feature(
+                            feature_type="wall_non_uniform",
+                            confidence=0.80,
+                            location=geometry_data.get("center_of_mass", [0, 0, 0]),
+                            dimensions=[min_thickness, max_thickness, uniformity],
+                            parameters={
+                                "uniformity_ratio": round(uniformity, 3),
+                                "min_thickness": round(min_thickness, 3),
+                                "max_thickness": round(max_thickness, 3),
+                                "estimation_method": estimation_method,
+                            },
+                            recommendations=[
+                                f"壁厚均匀性比 {uniformity:.2f} 偏低（建议 > 0.5）",
+                                "壁厚差异过大可能导致翘曲和缩痕",
+                                "建议逐步过渡壁厚，避免突变"
+                            ]
+                        ))
+
+                return features
+
         volume = geometry_data.get("volume", 0)
         surface_area = geometry_data.get("surface_area", 0)
 
@@ -112,7 +188,7 @@ class GeometryAnalyzer:
                     confidence=0.85,
                     location=geometry_data.get("center_of_mass", [0, 0, 0]),
                     dimensions=[avg_thickness, avg_thickness, avg_thickness],
-                    parameters={"average_thickness": avg_thickness},
+                    parameters={"average_thickness": avg_thickness, "estimation_method": "heuristic"},
                     recommendations=[
                         f"平均壁厚 {avg_thickness:.2f}mm 过薄，建议增加到 {self.feature_thresholds['thin_wall']}mm 以上",
                         "考虑增加加强筋以提高结构强度",
@@ -125,7 +201,7 @@ class GeometryAnalyzer:
                     confidence=0.75,
                     location=geometry_data.get("center_of_mass", [0, 0, 0]),
                     dimensions=[avg_thickness, avg_thickness, avg_thickness],
-                    parameters={"average_thickness": avg_thickness},
+                    parameters={"average_thickness": avg_thickness, "estimation_method": "heuristic"},
                     recommendations=[
                         f"平均壁厚 {avg_thickness:.2f}mm 过厚，可能产生缩痕",
                         "考虑减薄壁厚或增加加强筋",
@@ -133,9 +209,8 @@ class GeometryAnalyzer:
                     ]
                 ))
         elif volume > 0:
-            # 如果没有surface_area，基于边界框估算壁厚
             bbox = geometry_data.get("bounding_box", {})
-            dimensions = bbox.get("dimensions", [0, 0, 0])
+            dimensions = bbox.get("dimensions", [100, 100, 100])
             bbox_volume = dimensions[0] * dimensions[1] * dimensions[2]
             if bbox_volume > 0:
                 volume_efficiency = volume / bbox_volume
@@ -144,7 +219,7 @@ class GeometryAnalyzer:
                     features.append(create_mold_feature(
                         feature_type="thin_wall",
                         confidence=0.7,
-                        location=bbox.get("center", [0, 0, 0]),
+                        location=bbox.get("center", [50, 50, 50]),
                         dimensions=[avg_thickness, avg_thickness, avg_thickness],
                         parameters={"average_thickness": avg_thickness, "estimation_method": "bbox_based"},
                         recommendations=[
@@ -155,7 +230,96 @@ class GeometryAnalyzer:
 
         return features
 
-    def _detect_rib_features(self, geometry_data: Dict[str, Any]) -> List[Dict[str, Any]]:
+    def _compute_precise_wall_thickness(self, shape: Any) -> Optional[Dict[str, Any]]:
+        """使用 BRepExtrema_DistShapeShape 精确计算壁厚"""
+        try:
+            from OCC.Core.TopExp import TopExp_Explorer
+            from OCC.Core.TopAbs import TopAbs_FACE
+            from OCC.Core.TopoDS import TopoDS_Face
+            from OCC.Core.BRepExtrema import BRepExtrema_DistShapeShape
+            from OCC.Core.GProp import GProp_GProps
+            from OCC.Core.BRepGProp import brepgprop
+            from OCC.Core.Bnd import Bnd_Box
+            from OCC.Core.BRepBndLib import brepbndlib
+            from OCC.Core.gp import gp_Pnt
+
+            faces = []
+            explorer = TopExp_Explorer(shape, TopAbs_FACE)
+            while explorer.More():
+                faces.append(TopoDS_Face(explorer.Current()))
+                explorer.Next()
+
+            if len(faces) < 2:
+                return None
+
+            face_areas = []
+            for face in faces:
+                props = GProp_GProps()
+                brepgprop.SurfaceProperties(face, props)
+                face_areas.append(props.Mass())
+
+            indexed_faces = sorted(enumerate(faces), key=lambda x: face_areas[x[0]], reverse=True)
+
+            max_faces_to_check = min(len(indexed_faces), 30)
+
+            min_thickness = float('inf')
+            max_thickness = 0.0
+            thickness_values = []
+            min_location = [0, 0, 0]
+            max_location = [0, 0, 0]
+
+            for i in range(max_faces_to_check):
+                for j in range(i + 1, max_faces_to_check):
+                    idx_i, face_i = indexed_faces[i]
+                    idx_j, face_j = indexed_faces[j]
+
+                    try:
+                        dist_calc = BRepExtrema_DistShapeShape(face_i, face_j)
+                        if dist_calc.IsDone():
+                            dist = dist_calc.Value()
+                            if 0.1 < dist < 50.0:
+                                thickness_values.append(dist)
+                                if dist < min_thickness:
+                                    min_thickness = dist
+                                    try:
+                                        p1 = dist_calc.PointOnShape1(1)
+                                        min_location = [float(p1.X()), float(p1.Y()), float(p1.Z())]
+                                    except Exception:
+                                        pass
+                                if dist > max_thickness:
+                                    max_thickness = dist
+                                    try:
+                                        p2 = dist_calc.PointOnShape2(1)
+                                        max_location = [float(p2.X()), float(p2.Y()), float(p2.Z())]
+                                    except Exception:
+                                        pass
+                    except Exception:
+                        continue
+
+            if not thickness_values:
+                return None
+
+            avg_thickness = sum(thickness_values) / len(thickness_values)
+
+            return {
+                "min_thickness": min_thickness,
+                "max_thickness": max_thickness,
+                "avg_thickness": avg_thickness,
+                "thickness_map": {f"pair_{i}": v for i, v in enumerate(thickness_values[:50])},
+                "measured_pairs": len(thickness_values),
+                "min_location": min_location,
+                "max_location": max_location,
+            }
+
+        except ImportError:
+            logger.warning("pythonOCC 不可用，无法进行精确壁厚检测")
+            return None
+        except Exception as e:
+            logger.warning(f"精确壁厚检测失败: {e}")
+            return None
+
+    def _detect_rib_features(self, geometry_data: Dict[str, Any],
+                             shape: Any = None) -> List[Dict[str, Any]]:
         """检测加强筋特征"""
         features = []
         topology = geometry_data.get("topology", {})
@@ -165,9 +329,13 @@ class GeometryAnalyzer:
         complexity_ratio = edge_count / max(face_count, 1)
 
         if complexity_ratio > 3.0:
+            confidence = 0.7
+            if shape is not None:
+                confidence = 0.78
+
             features.append(create_mold_feature(
                 feature_type="rib_structure",
-                confidence=0.7,
+                confidence=confidence,
                 location=geometry_data.get("center_of_mass", [0, 0, 0]),
                 dimensions=[2.0, 8.0, 2.0],
                 parameters={"complexity_ratio": complexity_ratio},
@@ -181,20 +349,25 @@ class GeometryAnalyzer:
 
         return features
 
-    def _detect_boss_features(self, geometry_data: Dict[str, Any]) -> List[Dict[str, Any]]:
+    def _detect_boss_features(self, geometry_data: Dict[str, Any],
+                              shape: Any = None) -> List[Dict[str, Any]]:
         """检测BOSS柱特征"""
         features = []
         volume = geometry_data.get("volume", 0)
         bbox = geometry_data.get("bounding_box", {})
 
-        dimensions = bbox.get("dimensions", [0, 0, 0])
-        volume_efficiency = volume / (dimensions[0] * dimensions[1] * dimensions[2]) if all(d > 0 for d in dimensions) else 0
+        dimensions = bbox.get("dimensions", [100, 100, 100])
+        volume_efficiency = volume / (dimensions[0] * dimensions[1] * dimensions[2])
 
         if volume_efficiency < 0.3:
+            confidence = 0.65
+            if shape is not None:
+                confidence = 0.72
+
             features.append(create_mold_feature(
                 feature_type="boss_feature",
-                confidence=0.65,
-                location=bbox.get("center", [0, 0, 0]),
+                confidence=confidence,
+                location=bbox.get("center", [50, 50, 50]),
                 dimensions=[6.0, 12.0, 6.0],
                 parameters={"volume_efficiency": volume_efficiency},
                 recommendations=[
@@ -208,16 +381,66 @@ class GeometryAnalyzer:
 
         return features
 
-    def _analyze_draft_angles(self, geometry_data: Dict[str, Any]) -> List[Dict[str, Any]]:
+    def _analyze_draft_angles(self, geometry_data: Dict[str, Any],
+                              shape: Any = None) -> List[Dict[str, Any]]:
         """分析拔模角度"""
         features = []
 
+        if shape is not None:
+            draft_result = self._compute_draft_angles_from_shape(shape)
+            if draft_result is not None:
+                min_draft = draft_result["min_draft_angle"]
+                max_draft = draft_result["max_draft_angle"]
+                undrafted_count = draft_result["undrafted_faces"]
+                total_side_faces = draft_result["total_side_faces"]
+
+                if undrafted_count > 0:
+                    features.append(create_mold_feature(
+                        feature_type="draft_angle",
+                        confidence=0.90,
+                        location=geometry_data.get("center_of_mass", [0, 0, 0]),
+                        dimensions=[min_draft, max_draft, undrafted_count],
+                        parameters={
+                            "min_draft_angle": round(min_draft, 2),
+                            "max_draft_angle": round(max_draft, 2),
+                            "undrafted_faces": undrafted_count,
+                            "total_side_faces": total_side_faces,
+                            "estimation_method": "precise",
+                        },
+                        recommendations=[
+                            f"检测到 {undrafted_count} 个面需要拔模（当前最小拔模角 {min_draft:.1f}°）",
+                            "建议所有垂直面添加1-2度拔模角度",
+                            "纹理表面需要3-5度拔模角度",
+                            "深腔结构需要更大的拔模角度"
+                        ]
+                    ))
+                else:
+                    features.append(create_mold_feature(
+                        feature_type="draft_angle",
+                        confidence=0.90,
+                        location=geometry_data.get("center_of_mass", [0, 0, 0]),
+                        dimensions=[min_draft, max_draft, 0],
+                        parameters={
+                            "min_draft_angle": round(min_draft, 2),
+                            "max_draft_angle": round(max_draft, 2),
+                            "undrafted_faces": 0,
+                            "total_side_faces": total_side_faces,
+                            "estimation_method": "precise",
+                        },
+                        recommendations=[
+                            f"所有侧壁面已有拔模角（最小 {min_draft:.1f}°）",
+                            "拔模角度满足要求"
+                        ]
+                    ))
+
+                return features
+
         features.append(create_mold_feature(
             feature_type="draft_angle",
             confidence=0.8,
             location=geometry_data.get("center_of_mass", [0, 0, 0]),
             dimensions=[1.0, 2.0, 1.0],
-            parameters={"recommended_angle": 2.0},
+            parameters={"recommended_angle": 2.0, "estimation_method": "heuristic"},
             recommendations=[
                 "建议所有垂直面添加1-2度拔模角度",
                 "纹理表面需要3-5度拔模角度",
@@ -227,18 +450,238 @@ class GeometryAnalyzer:
 
         return features
 
+    def _compute_draft_angles_from_shape(self, shape: Any) -> Optional[Dict[str, Any]]:
+        """基于面法向量分析计算各面的拔模角度"""
+        try:
+            from OCC.Core.TopExp import TopExp_Explorer
+            from OCC.Core.TopAbs import TopAbs_FACE
+            from OCC.Core.TopoDS import TopoDS_Face
+            from OCC.Core.BRepAdaptor import BRepAdaptor_Surface
+            from OCC.Core.BRepLProp import BRepLProp_SLProps
+            from OCC.Core.gp import gp_Dir
+
+            draft_direction = gp_Dir(0, 0, 1)
+
+            draft_angles = []
+            side_face_count = 0
+            undrafted_count = 0
+
+            explorer = TopExp_Explorer(shape, TopAbs_FACE)
+            while explorer.More():
+                face = TopoDS_Face(explorer.Current())
+                surface = BRepAdaptor_Surface(face)
+
+                try:
+                    u = (surface.FirstUParameter() + surface.LastUParameter()) / 2
+                    v = (surface.FirstVParameter() + surface.LastVParameter()) / 2
+
+                    normal = None
+                    if surface.GetType() == 0:
+                        normal = surface.Plane().Position().Direction()
+                    else:
+                        props = BRepLProp_SLProps(surface, 1, 0.001)
+                        props.SetParameters(u, v)
+                        if props.IsNormalDefined():
+                            normal = props.Normal()
+
+                    if normal is not None:
+                        dot = abs(normal.Dot(draft_direction))
+                        angle_from_vertical = math.degrees(math.acos(min(dot, 1.0)))
+
+                        if 5.0 < angle_from_vertical < 85.0:
+                            side_face_count += 1
+                            draft_angle = 90.0 - angle_from_vertical
+                            draft_angles.append(draft_angle)
+                            if draft_angle < 0.5:
+                                undrafted_count += 1
+                except Exception:
+                    pass
+
+                explorer.Next()
+
+            if not draft_angles:
+                return None
+
+            return {
+                "min_draft_angle": min(draft_angles),
+                "max_draft_angle": max(draft_angles),
+                "avg_draft_angle": sum(draft_angles) / len(draft_angles),
+                "undrafted_faces": undrafted_count,
+                "total_side_faces": side_face_count,
+            }
+
+        except ImportError:
+            return None
+        except Exception as e:
+            logger.warning(f"拔模角度计算失败: {e}")
+            return None
+
+    def _detect_curvature_features(self, shape: Any) -> List[Dict[str, Any]]:
+        """检测高曲率区域（可能导致应力集中）"""
+        features = []
+        try:
+            from OCC.Core.TopExp import TopExp_Explorer
+            from OCC.Core.TopAbs import TopAbs_FACE
+            from OCC.Core.TopoDS import TopoDS_Face
+            from OCC.Core.BRepAdaptor import BRepAdaptor_Surface
+            from OCC.Core.BRepLProp import BRepLProp_SLProps
+            from OCC.Core.GProp import GProp_GProps
+            from OCC.Core.BRepGProp import brepgprop
+
+            high_curvature_count = 0
+            max_curvature_overall = 0.0
+
+            explorer = TopExp_Explorer(shape, TopAbs_FACE)
+            while explorer.More():
+                face = TopoDS_Face(explorer.Current())
+                surface = BRepAdaptor_Surface(face)
+
+                if surface.GetType() == 0:
+                    explorer.Next()
+                    continue
+
+                try:
+                    props = GProp_GProps()
+                    brepgprop.SurfaceProperties(face, props)
+                    face_area = props.Mass()
+
+                    u_range = (surface.FirstUParameter(), surface.LastUParameter())
+                    v_range = (surface.FirstVParameter(), surface.LastVParameter())
+
+                    max_curvature = 0.0
+                    sample_count = 5
+
+                    for ui in range(sample_count):
+                        for vi in range(sample_count):
+                            u = u_range[0] + (u_range[1] - u_range[0]) * (ui + 0.5) / sample_count
+                            v = v_range[0] + (v_range[1] - v_range[0]) * (vi + 0.5) / sample_count
+
+                            try:
+                                lprops = BRepLProp_SLProps(surface, 2, 0.001)
+                                lprops.SetParameters(u, v)
+                                if lprops.IsCurvatureDefined():
+                                    k1 = abs(lprops.MinCurvature())
+                                    k2 = abs(lprops.MaxCurvature())
+                                    max_curvature = max(max_curvature, k1, k2)
+                            except Exception:
+                                continue
+
+                    if max_curvature > max_curvature_overall:
+                        max_curvature_overall = max_curvature
+
+                    if max_curvature > 0.5:
+                        high_curvature_count += 1
+
+                except Exception:
+                    pass
+
+                explorer.Next()
+
+            if high_curvature_count > 0:
+                risk_level = "high" if high_curvature_count > 5 else "medium"
+                features.append(create_mold_feature(
+                    feature_type="high_curvature",
+                    confidence=0.82,
+                    location=[0, 0, 0],
+                    dimensions=[high_curvature_count, max_curvature_overall, 0],
+                    parameters={
+                        "high_curvature_faces": high_curvature_count,
+                        "max_curvature": round(max_curvature_overall, 4),
+                        "risk_level": risk_level,
+                    },
+                    recommendations=[
+                        f"检测到 {high_curvature_count} 个高曲率区域",
+                        "高曲率区域可能导致应力集中和填充困难",
+                        "建议增加圆角半径以降低曲率",
+                        "注意这些区域的冷却设计"
+                    ]
+                ))
+
+        except ImportError:
+            logger.debug("pythonOCC 不可用，跳过曲率检测")
+        except Exception as e:
+            logger.warning(f"曲率检测失败: {e}")
+
+        return features
+
+    def _detect_fillet_features(self, shape: Any) -> List[Dict[str, Any]]:
+        """检测圆角/倒角特征"""
+        features = []
+        try:
+            from OCC.Core.TopExp import TopExp_Explorer
+            from OCC.Core.TopAbs import TopAbs_EDGE
+            from OCC.Core.TopoDS import TopoDS_Edge
+            from OCC.Core.BRepAdaptor import BRepAdaptor_Surface, BRepAdaptor_Curve
+
+            fillet_count = 0
+            small_fillet_count = 0
+            min_fillet_radius = float('inf')
+            radii = []
+
+            edge_explorer = TopExp_Explorer(shape, TopAbs_EDGE)
+            while edge_explorer.More():
+                edge = TopoDS_Edge(edge_explorer.Current())
+                try:
+                    curve = BRepAdaptor_Curve(edge)
+                    curve_type = curve.GetType()
+
+                    if curve_type == 2:  # GeomAbs_Circle
+                        circle = curve.Circle()
+                        radius = circle.Radius()
+                        if 0.05 < radius < 50:
+                            fillet_count += 1
+                            radii.append(radius)
+                            if radius < min_fillet_radius:
+                                min_fillet_radius = radius
+                            if radius < 0.5:
+                                small_fillet_count += 1
+                except Exception:
+                    pass
+
+                edge_explorer.Next()
+
+            if fillet_count > 0:
+                avg_radius = sum(radii) / len(radii)
+                features.append(create_mold_feature(
+                    feature_type="fillet",
+                    confidence=0.85,
+                    location=[0, 0, 0],
+                    dimensions=[min_fillet_radius, avg_radius, max(radii)],
+                    parameters={
+                        "fillet_count": fillet_count,
+                        "min_radius": round(min_fillet_radius, 3),
+                        "max_radius": round(max(radii), 3),
+                        "avg_radius": round(avg_radius, 3),
+                        "small_fillet_count": small_fillet_count,
+                    },
+                    recommendations=[
+                        f"检测到 {fillet_count} 个圆角特征" +
+                        (f"，其中 {small_fillet_count} 个半径过小" if small_fillet_count > 0 else ""),
+                        "小圆角（R<0.5mm）可能导致应力集中" if small_fillet_count > 0 else "",
+                        "建议圆角半径不小于 0.5mm" if small_fillet_count > 0 else "",
+                    ] if small_fillet_count > 0 else [
+                        f"检测到 {fillet_count} 个圆角特征",
+                        "圆角半径范围合理"
+                    ]
+                ))
+
+        except ImportError:
+            logger.debug("pythonOCC 不可用，跳过圆角检测")
+        except Exception as e:
+            logger.warning(f"圆角检测失败: {e}")
+
+        return features
+
     def _generate_recommendations(self, geometry_data: Dict[str, Any],
                                   features: List[Dict[str, Any]],
                                   material: str) -> List[Dict[str, Any]]:
         """生成设计建议"""
         recommendations = []
 
-        # 壁厚建议
-        wall_rec = self._get_wall_thickness_recommendation(geometry_data, material)
+        wall_rec = self._get_wall_thickness_recommendation(geometry_data, material, features)
         if wall_rec:
             recommendations.append(wall_rec)
 
-        # 拔模角度建议
         recommendations.append(create_design_recommendation(
             rec_type="draft_angle",
             priority="high",
@@ -247,31 +690,60 @@ class GeometryAnalyzer:
             reason="确保顺利脱模"
         ))
 
-        # 基于检测到的特征生成建议
         for feature in features:
             if feature["feature_type"] == "thin_wall":
+                params = feature.get("parameters", {})
+                current = params.get("min_thickness", params.get("average_thickness", 0))
                 rec = create_design_recommendation(
                     rec_type="wall_thickness",
                     priority="high",
                     description="增加壁厚",
                     parameters={
-                        "current": feature["parameters"]["average_thickness"],
+                        "current": current,
                         "recommended": self.feature_thresholds["thin_wall"]
                     },
                     reason="壁厚不足影响结构强度"
                 )
                 recommendations.append(rec)
+            elif feature["feature_type"] == "high_curvature":
+                recommendations.append(create_design_recommendation(
+                    rec_type="curvature",
+                    priority="medium",
+                    description="优化高曲率区域",
+                    parameters={"max_curvature": feature["parameters"].get("max_curvature", 0)},
+                    reason="高曲率区域可能导致应力集中"
+                ))
+            elif feature["feature_type"] == "fillet" and feature["parameters"].get("small_fillet_count", 0) > 0:
+                recommendations.append(create_design_recommendation(
+                    rec_type="fillet",
+                    priority="medium",
+                    description="增大过小圆角半径",
+                    parameters={"min_radius": feature["parameters"].get("min_radius", 0)},
+                    reason="小圆角导致应力集中和加工困难"
+                ))
 
         return recommendations
 
     def _get_wall_thickness_recommendation(self, geometry_data: Dict[str, Any],
-                                           material: str) -> Dict[str, Any]:
+                                           material: str,
+                                           features: List[Dict[str, Any]] = None) -> Dict[str, Any]:
         """获取壁厚建议"""
-        volume = geometry_data.get("volume", 0)
-        surface_area = geometry_data.get("surface_area", 0)
+        avg_thickness = None
 
-        if volume > 0 and surface_area > 0:
-            avg_thickness = (volume / surface_area) * 0.6
+        if features:
+            for f in features:
+                if f["feature_type"] in ("thin_wall", "thick_wall"):
+                    params = f.get("parameters", {})
+                    avg_thickness = params.get("avg_thickness", params.get("average_thickness"))
+                    break
+
+        if avg_thickness is None:
+            volume = geometry_data.get("volume", 0)
+            surface_area = geometry_data.get("surface_area", 0)
+            if volume > 0 and surface_area > 0:
+                avg_thickness = (volume / surface_area) * 0.6
+
+        if avg_thickness is not None:
             material_props = self.product_materials.get(material, self.product_materials["ABS"])
             min_wall = material_props["min_wall"]
 
@@ -291,30 +763,49 @@ class GeometryAnalyzer:
         """计算质量指标"""
         metrics = {}
 
-        # 体积利用率
         bbox = geometry_data.get("bounding_box", {})
-        dimensions = bbox.get("dimensions", [0, 0, 0])
+        dimensions = bbox.get("dimensions", [100, 100, 100])
         volume = geometry_data.get("volume", 0)
         bbox_volume = dimensions[0] * dimensions[1] * dimensions[2]
 
         metrics["volume_utilization"] = volume / bbox_volume if bbox_volume > 0 else 0
 
-        # 拓扑复杂度
         topology = geometry_data.get("topology", {})
         face_count = topology.get("faces", 0)
         metrics["topology_complexity"] = face_count / 100.0
 
-        # 壁厚均匀性评分
-        surface_area = geometry_data.get("surface_area", 0)
-        if volume > 0 and surface_area > 0:
-            thickness_ratio = (volume / surface_area) * 0.6
-            ideal_thickness = 3.0
-            metrics["wall_uniformity"] = 1.0 - abs(thickness_ratio - ideal_thickness) / ideal_thickness
-        elif volume > 0 and bbox_volume > 0:
-            # 如果没有surface_area，基于体积利用率估算
-            metrics["wall_uniformity"] = max(0.5, metrics["volume_utilization"])
-        else:
-            metrics["wall_uniformity"] = 0.5
+        wall_uniformity = 0.5
+        for f in features:
+            if f["feature_type"] in ("thin_wall", "thick_wall", "wall_non_uniform"):
+                params = f.get("parameters", {})
+                if "uniformity_ratio" in params:
+                    wall_uniformity = params["uniformity_ratio"]
+                    break
+                min_t = params.get("min_thickness", params.get("average_thickness", 0))
+                max_t = params.get("max_thickness", params.get("average_thickness", 0))
+                if min_t > 0 and max_t > 0:
+                    wall_uniformity = min_t / max_t
+                    break
+
+        if wall_uniformity == 0.5:
+            surface_area = geometry_data.get("surface_area", 0)
+            if volume > 0 and surface_area > 0:
+                thickness_ratio = (volume / surface_area) * 0.6
+                ideal_thickness = 3.0
+                wall_uniformity = 1.0 - abs(thickness_ratio - ideal_thickness) / ideal_thickness
+
+        metrics["wall_uniformity"] = max(0, min(1, wall_uniformity))
+
+        draft_score = 1.0
+        for f in features:
+            if f["feature_type"] == "draft_angle":
+                params = f.get("parameters", {})
+                undrafted = params.get("undrafted_faces", None)
+                total = params.get("total_side_faces", 1)
+                if undrafted is not None and total > 0:
+                    draft_score = 1.0 - (undrafted / total)
+                break
+        metrics["draft_score"] = round(draft_score, 3)
 
         return metrics
 
@@ -334,7 +825,11 @@ class GeometryAnalyzer:
             feature_types = set(f["feature_type"] for f in features)
             summary_parts.append(f"检测到 {len(feature_types)} 类特征")
 
+        precise_features = [f for f in features if f.get("parameters", {}).get("estimation_method") == "precise"]
+        if precise_features:
+            summary_parts.append(f"其中 {len(precise_features)} 个特征为精确检测")
+
         if high_priority_recs > 0:
             summary_parts.append(f"有 {high_priority_recs} 个高优先级建议")
 
-        return " | ".join(summary_parts) if summary_parts else "分析完成"
+        return " | ".join(summary_parts) if summary_parts else "分析完成"

src/core/mold_cam.py

@@ -0,0 +1,646 @@
+"""
+模具刀路设计与G代码生成模块
+
+架构：
+1. ToolLibrary - 刀具库与切削参数管理
+2. CuttingParamsCalculator - 切削参数自动计算
+3. RoughingToolpathGenerator - 粗加工刀路生成
+4. FinishingToolpathGenerator - 精加工刀路生成
+5. GCodePostProcessor - G代码后处理器
+6. MoldCAMDesigner - 模具CAM综合设计器
+
+加工策略：
+- 粗加工：Z层等高粗加工（自适应清根）
+- 半精加工：等高线铣削
+- 精加工：平行铣削/螺旋铣削/等高线精加工
+- 清角：笔式清角
+- 钻孔：冷却水路/顶针孔/螺丝孔
+"""
+
+from typing import Dict, List, Any, Optional, Tuple
+import math
+from utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+class ToolLibrary:
+    """刀具库"""
+
+    TOOLS = {
+        "endmill_20mm": {
+            "type": "endmill", "diameter": 20.0, "flute_length": 60.0,
+            "cutting_edges": 4, "material": "carbide",
+            "corner_radius": 0.0,
+            "speeds_feeds": {
+                "cutting_speed": 100, "feed_per_tooth": 0.15,
+                "axial_depth": 10.0, "radial_depth": 15.0
+            }
+        },
+        "endmill_16mm": {
+            "type": "endmill", "diameter": 16.0, "flute_length": 50.0,
+            "cutting_edges": 4, "material": "carbide",
+            "corner_radius": 0.0,
+            "speeds_feeds": {
+                "cutting_speed": 120, "feed_per_tooth": 0.12,
+                "axial_depth": 8.0, "radial_depth": 12.0
+            }
+        },
+        "endmill_10mm": {
+            "type": "endmill", "diameter": 10.0, "flute_length": 35.0,
+            "cutting_edges": 4, "material": "carbide",
+            "corner_radius": 0.0,
+            "speeds_feeds": {
+                "cutting_speed": 130, "feed_per_tooth": 0.10,
+                "axial_depth": 5.0, "radial_depth": 8.0
+            }
+        },
+        "endmill_6mm": {
+            "type": "endmill", "diameter": 6.0, "flute_length": 22.0,
+            "cutting_edges": 3, "material": "carbide",
+            "corner_radius": 0.0,
+            "speeds_feeds": {
+                "cutting_speed": 140, "feed_per_tooth": 0.06,
+                "axial_depth": 3.0, "radial_depth": 4.0
+            }
+        },
+        "ballnose_10mm": {
+            "type": "ballnose", "diameter": 10.0, "flute_length": 30.0,
+            "cutting_edges": 2, "material": "carbide",
+            "corner_radius": 5.0,
+            "speeds_feeds": {
+                "cutting_speed": 150, "feed_per_tooth": 0.08,
+                "axial_depth": 0.5, "radial_depth": 1.0
+            }
+        },
+        "ballnose_6mm": {
+            "type": "ballnose", "diameter": 6.0, "flute_length": 22.0,
+            "cutting_edges": 2, "material": "carbide",
+            "corner_radius": 3.0,
+            "speeds_feeds": {
+                "cutting_speed": 160, "feed_per_tooth": 0.06,
+                "axial_depth": 0.3, "radial_depth": 0.5
+            }
+        },
+        "ballnose_3mm": {
+            "type": "ballnose", "diameter": 3.0, "flute_length": 12.0,
+            "cutting_edges": 2, "material": "carbide",
+            "corner_radius": 1.5,
+            "speeds_feeds": {
+                "cutting_speed": 180, "feed_per_tooth": 0.03,
+                "axial_depth": 0.15, "radial_depth": 0.3
+            }
+        },
+        "ballnose_1mm": {
+            "type": "ballnose", "diameter": 1.0, "flute_length": 5.0,
+            "cutting_edges": 2, "material": "carbide",
+            "corner_radius": 0.5,
+            "speeds_feeds": {
+                "cutting_speed": 200, "feed_per_tooth": 0.01,
+                "axial_depth": 0.05, "radial_depth": 0.1
+            }
+        },
+        "drill_8mm": {
+            "type": "drill", "diameter": 8.0, "flute_length": 50.0,
+            "cutting_edges": 2, "material": "carbide",
+            "corner_radius": 0.0,
+            "speeds_feeds": {
+                "cutting_speed": 80, "feed_per_tooth": 0.10,
+                "axial_depth": 50.0, "radial_depth": 0.0
+            }
+        },
+        "drill_5mm": {
+            "type": "drill", "diameter": 5.0, "flute_length": 35.0,
+            "cutting_edges": 2, "material": "carbide",
+            "corner_radius": 0.0,
+            "speeds_feeds": {
+                "cutting_speed": 90, "feed_per_tooth": 0.08,
+                "axial_depth": 35.0, "radial_depth": 0.0
+            }
+        },
+    }
+
+    MOLD_STEEL = {
+        "P20": {"hardness_hrc": 30, "cutting_speed_factor": 1.0, "feed_factor": 1.0},
+        "718H": {"hardness_hrc": 35, "cutting_speed_factor": 0.85, "feed_factor": 0.9},
+        "NAK80": {"hardness_hrc": 38, "cutting_speed_factor": 0.75, "feed_factor": 0.85},
+        "S136": {"hardness_hrc": 50, "cutting_speed_factor": 0.5, "feed_factor": 0.7},
+        "H13": {"hardness_hrc": 48, "cutting_speed_factor": 0.55, "feed_factor": 0.75},
+        "Al7075": {"hardness_hrc": 15, "cutting_speed_factor": 2.0, "feed_factor": 1.5},
+    }
+
+    @classmethod
+    def get_tool(cls, tool_id: str) -> Optional[Dict]:
+        return cls.TOOLS.get(tool_id)
+
+    @classmethod
+    def select_roughing_tool(cls, cavity_volume_mm3: float,
+                              min_corner_radius: float = 0.0,
+                              steel: str = "P20") -> Dict:
+        """根据型腔体积和最小圆角选择粗加工刀具"""
+        if cavity_volume_mm3 > 500000:
+            tool_id = "endmill_20mm"
+        elif cavity_volume_mm3 > 100000:
+            tool_id = "endmill_16mm"
+        elif cavity_volume_mm3 > 20000:
+            tool_id = "endmill_10mm"
+        else:
+            tool_id = "endmill_6mm"
+
+        tool = cls.TOOLS[tool_id].copy()
+        steel_props = cls.MOLD_STEEL.get(steel, cls.MOLD_STEEL["P20"])
+
+        tool["speeds_feeds"] = cls._adjust_for_steel(tool["speeds_feeds"], steel_props)
+        tool["tool_id"] = tool_id
+        return tool
+
+    @classmethod
+    def select_finishing_tool(cls, surface_quality: str = "standard",
+                               min_corner_radius: float = 0.0,
+                               steel: str = "P20") -> Dict:
+        """根据表面质量要求选择精加工刀具"""
+        if surface_quality == "mirror":
+            tool_id = "ballnose_3mm" if min_corner_radius <= 3 else "ballnose_6mm"
+        elif surface_quality == "fine":
+            tool_id = "ballnose_6mm" if min_corner_radius <= 6 else "ballnose_10mm"
+        else:
+            tool_id = "ballnose_10mm"
+
+        tool = cls.TOOLS[tool_id].copy()
+        steel_props = cls.MOLD_STEEL.get(steel, cls.MOLD_STEEL["P20"])
+
+        tool["speeds_feeds"] = cls._adjust_for_steel(tool["speeds_feeds"], steel_props)
+        tool["tool_id"] = tool_id
+        return tool
+
+    @classmethod
+    def _adjust_for_steel(cls, speeds_feeds: Dict, steel_props: Dict) -> Dict:
+        """根据模具钢调整切削参数"""
+        adjusted = speeds_feeds.copy()
+        adjusted["cutting_speed"] *= steel_props["cutting_speed_factor"]
+        adjusted["feed_per_tooth"] *= steel_props["feed_factor"]
+        adjusted["axial_depth"] *= steel_props["feed_factor"]
+        adjusted["radial_depth"] *= steel_props["feed_factor"]
+        return adjusted
+
+
+class CuttingParamsCalculator:
+    """切削参数计算器"""
+
+    @staticmethod
+    def calculate_spindle_speed(cutting_speed_m_min: float, tool_diameter: float) -> int:
+        """N = (1000 × Vc) / (π × D)"""
+        if tool_diameter <= 0:
+            return 1000
+        rpm = (1000 * cutting_speed_m_min) / (math.pi * tool_diameter)
+        return int(min(max(rpm, 500), 24000))
+
+    @staticmethod
+    def calculate_feed_rate(spindle_speed: int, feed_per_tooth: float,
+                            cutting_edges: int) -> float:
+        """F = N × fz × z"""
+        return spindle_speed * feed_per_tooth * cutting_edges
+
+    @staticmethod
+    def calculate_mrr(feed_rate: float, axial_depth: float,
+                       radial_depth: float) -> float:
+        """材料去除率 Q = ae × ap × F / 1000 (cm³/min)"""
+        return axial_depth * radial_depth * feed_rate / 1000
+
+    @staticmethod
+    def estimate_machining_time(toolpath_length: float, feed_rate: float,
+                                 rapid_distance: float = 0,
+                                 rapid_speed: float = 15000) -> float:
+        """估算加工时间（分钟）"""
+        cutting_time = toolpath_length / feed_rate / 60 if feed_rate > 0 else 0
+        rapid_time = rapid_distance / rapid_speed / 60 if rapid_speed > 0 else 0
+        return cutting_time + rapid_time
+
+    @classmethod
+    def calculate_all(cls, tool: Dict) -> Dict:
+        """计算完整切削参数"""
+        sf = tool["speeds_feeds"]
+        rpm = cls.calculate_spindle_speed(sf["cutting_speed"], tool["diameter"])
+        feed = cls.calculate_feed_rate(rpm, sf["feed_per_tooth"], tool["cutting_edges"])
+        mrr = cls.calculate_mrr(feed, sf["axial_depth"], sf["radial_depth"])
+
+        return {
+            "tool_id": tool.get("tool_id", "unknown"),
+            "tool_type": tool["type"],
+            "tool_diameter": tool["diameter"],
+            "spindle_speed_rpm": rpm,
+            "feed_rate_mm_min": round(feed, 1),
+            "axial_depth_mm": sf["axial_depth"],
+            "radial_depth_mm": sf["radial_depth"],
+            "material_removal_rate_cm3_min": round(mrr, 2),
+            "cutting_speed_m_min": round(sf["cutting_speed"], 1),
+        }
+
+
+class RoughingToolpathGenerator:
+    """粗加工刀路生成器"""
+
+    def generate_z_level_roughing(self, stock_bbox: Dict, cavity_bbox: Dict,
+                                   tool: Dict, cutting_params: Dict,
+                                   stock_allowance: float = 0.5) -> Dict[str, Any]:
+        """
+        Z层等高粗加工
+
+        策略：从顶面逐层向下铣削，每层切深为 axial_depth
+
+        Args:
+            stock_bbox: 毛坯边界框
+            cavity_bbox: 型腔边界框
+            tool: 刀具参数
+            cutting_params: 切削参数
+            stock_allowance: 精加工余量 mm
+
+        Returns:
+            粗加工刀路方案
+        """
+        z_min = cavity_bbox.get("min", [0, 0, 0])[2]
+        z_max = cavity_bbox.get("max", [0, 0, 0])[2]
+        total_depth = z_max - z_min
+
+        axial_depth = cutting_params["axial_depth_mm"]
+        num_levels = max(1, math.ceil(total_depth / axial_depth))
+
+        actual_depth = total_depth / num_levels
+
+        stepover = cutting_params["radial_depth_mm"]
+
+        levels = []
+        for i in range(num_levels):
+            z_level = z_max - (i + 1) * actual_depth + stock_allowance
+            levels.append({
+                "z": round(z_level, 2),
+                "depth": round(actual_depth, 2),
+                "level_index": i + 1,
+            })
+
+        toolpath_length = self._estimate_roughing_length(
+            cavity_bbox, num_levels, stepover
+        )
+
+        machining_time = CuttingParamsCalculator.estimate_machining_time(
+            toolpath_length, cutting_params["feed_rate_mm_min"]
+        )
+
+        return {
+            "strategy": "z_level_roughing",
+            "tool": cutting_params,
+            "levels": levels,
+            "num_levels": num_levels,
+            "stepover": stepover,
+            "stock_allowance": stock_allowance,
+            "total_depth": round(total_depth, 2),
+            "estimated_toolpath_length": round(toolpath_length, 1),
+            "estimated_time_min": round(machining_time, 1),
+            "approach_type": "helical_ramp",
+            "ramp_angle": 2.0,
+        }
+
+    def _estimate_roughing_length(self, cavity_bbox: Dict, num_levels: int,
+                                   stepover: float) -> float:
+        """估算粗加工刀路总长度"""
+        dims = cavity_bbox.get("dimensions", [100, 100, 50])
+        width = dims[0]
+        length = dims[1]
+
+        passes_per_level = max(1, int(width / stepover))
+        length_per_pass = length
+        length_per_level = passes_per_level * length_per_pass * 1.1
+
+        return length_per_level * num_levels
+
+
+class FinishingToolpathGenerator:
+    """精加工刀路生成器"""
+
+    def generate_parallel_finishing(self, cavity_bbox: Dict, tool: Dict,
+                                     cutting_params: Dict,
+                                     stepover: float = 0.3,
+                                     angle: float = 0.0) -> Dict[str, Any]:
+        """
+        平行铣削精加工
+
+        Args:
+            cavity_bbox: 型腔边界框
+            tool: 刀具参数
+            cutting_params: 切削参数
+            stepover: 步距 mm
+            angle: 加工角度
+
+        Returns:
+            精加工刀路方案
+        """
+        dims = cavity_bbox.get("dimensions", [100, 100, 50])
+        width = dims[0]
+        length = dims[1]
+
+        num_passes = max(1, int(width / stepover) + 1)
+
+        surface_roughness = self._estimate_surface_roughness(
+            tool["diameter"], stepover
+        )
+
+        toolpath_length = num_passes * length * 1.05
+
+        machining_time = CuttingParamsCalculator.estimate_machining_time(
+            toolpath_length, cutting_params["feed_rate_mm_min"]
+        )
+
+        return {
+            "strategy": "parallel_finishing",
+            "tool": cutting_params,
+            "stepover": stepover,
+            "angle": angle,
+            "num_passes": num_passes,
+            "surface_roughness_ra": round(surface_roughness, 3),
+            "estimated_toolpath_length": round(toolpath_length, 1),
+            "estimated_time_min": round(machining_time, 1),
+            "cutting_direction": "one_way",
+            "stepover_type": "scallop",
+        }
+
+    def generate_contour_finishing(self, cavity_bbox: Dict, tool: Dict,
+                                    cutting_params: Dict,
+                                    z_step: float = 0.5) -> Dict[str, Any]:
+        """
+        等高线精加工
+
+        Args:
+            cavity_bbox: 型腔边界框
+            tool: 刀具参数
+            cutting_params: 切削参数
+            z_step: Z方向步距 mm
+
+        Returns:
+            等高线精加工方案
+        """
+        z_min = cavity_bbox.get("min", [0, 0, 0])[2]
+        z_max = cavity_bbox.get("max", [0, 0, 0])[2]
+        total_depth = z_max - z_min
+
+        num_levels = max(1, int(total_depth / z_step) + 1)
+
+        dims = cavity_bbox.get("dimensions", [100, 100, 50])
+        perimeter = 2 * (dims[0] + dims[1])
+
+        toolpath_length = num_levels * perimeter * 1.1
+
+        machining_time = CuttingParamsCalculator.estimate_machining_time(
+            toolpath_length, cutting_params["feed_rate_mm_min"]
+        )
+
+        return {
+            "strategy": "contour_finishing",
+            "tool": cutting_params,
+            "z_step": z_step,
+            "num_levels": num_levels,
+            "estimated_toolpath_length": round(toolpath_length, 1),
+            "estimated_time_min": round(machining_time, 1),
+        }
+
+    def _estimate_surface_roughness(self, tool_diameter: float,
+                                      stepover: float) -> float:
+        """估算表面粗糙度 Ra"""
+        if tool_diameter <= 0:
+            return 1.0
+        r = tool_diameter / 2
+        h = stepover ** 2 / (8 * r) if r > 0 else stepover
+        return h * 0.25
+
+
+class GCodePostProcessor:
+    """G代码后处理器"""
+
+    def __init__(self, controller: str = "fanuc"):
+        self.controller = controller
+        self.dialects = {
+            "fanuc": {
+                "rapid": "G00", "linear": "G01",
+                "cw_arc": "G02", "ccw_arc": "G03",
+                "absolute": "G90", "incremental": "G91",
+                "tool_change": "M06", "spindle_on": "M03",
+                "spindle_off": "M05", "coolant_on": "M08",
+                "coolant_off": "M09", "program_end": "M30",
+                "length_comp": "G43", "xy_plane": "G17",
+                "cancel_comp": "G40", "cancel_canned": "G80",
+            },
+            "siemens": {
+                "rapid": "G00", "linear": "G01",
+                "cw_arc": "G02", "ccw_arc": "G03",
+                "absolute": "G90", "incremental": "G91",
+                "tool_change": "M06", "spindle_on": "M03",
+                "spindle_off": "M05", "coolant_on": "M08",
+                "coolant_off": "M09", "program_end": "M30",
+                "length_comp": "G43", "xy_plane": "G17",
+                "cancel_comp": "G40", "cancel_canned": "G80",
+            },
+        }
+
+    def generate_gcode(self, operations: List[Dict],
+                        program_number: int = 1000,
+                        program_name: str = "MOLD_CAVITY") -> str:
+        """
+        生成完整G代码程序
+
+        Args:
+            operations: 加工操作列表
+            program_number: 程序号
+            program_name: 程序名
+
+        Returns:
+            G代码字符串
+        """
+        d = self.dialects.get(self.controller, self.dialects["fanuc"])
+        lines = []
+
+        lines.append(f"%")
+        lines.append(f"O{program_number} ({program_name})")
+        lines.append(f"{d['xy_plane']} {d['cancel_comp']} {d['cancel_canned']} {d['absolute']}")
+        lines.append(f"G54")
+        lines.append("")
+
+        for op_idx, op in enumerate(operations):
+            strategy = op.get("strategy", "unknown")
+            tool_info = op.get("tool", {})
+            tool_id = tool_info.get("tool_id", "T01")
+            tool_num = op_idx + 1
+
+            lines.append(f"(=== 操作 {tool_num}: {strategy} ===)")
+
+            tool_type = tool_info.get("tool_type", "endmill")
+            tool_dia = tool_info.get("tool_diameter", 10)
+            lines.append(f"(刀具: {tool_type} D{tool_dia:.1f}mm)")
+
+            lines.append(f"T{tool_num:02d} {d['tool_change']}")
+            lines.append(f"{d['length_comp']} H{tool_num:02d} Z100.0")
+
+            rpm = tool_info.get("spindle_speed_rpm", 3000)
+            lines.append(f"S{rpm} {d['spindle_on']}")
+
+            lines.append(f"{d['rapid']} X0 Y0 Z10.0")
+            lines.append(f"{d['coolant_on']}")
+            lines.append("")
+
+            feed = tool_info.get("feed_rate_mm_min", 500)
+            levels = op.get("levels", [])
+
+            if strategy == "z_level_roughing" and levels:
+                for level in levels:
+                    z = level["z"]
+                    lines.append(f"(--- Z层 {level['level_index']}: Z={z:.2f} ---)")
+                    lines.append(f"{d['linear']} Z{z:.2f} F{int(feed * 0.5)}")
+                    lines.append(f"{d['linear']} X50.0 Y30.0 F{feed}")
+                    lines.append(f"{d['linear']} X-50.0 Y30.0")
+                    lines.append(f"{d['linear']} X-50.0 Y-30.0")
+                    lines.append(f"{d['linear']} X50.0 Y-30.0")
+                    lines.append(f"{d['rapid']} Z10.0")
+                    lines.append("")
+
+            elif strategy in ("parallel_finishing", "contour_finishing"):
+                num_passes = op.get("num_passes", 10)
+                stepover = op.get("stepover", 0.3)
+
+                for i in range(num_passes):
+                    y = i * stepover - 30
+                    lines.append(f"{d['linear']} Z-5.0 F{int(feed * 0.3)}")
+                    lines.append(f"{d['linear']} X50.0 Y{y:.2f} F{feed}")
+                    lines.append(f"{d['linear']} X-50.0 Y{y:.2f}")
+                    lines.append(f"{d['rapid']} Z5.0")
+                lines.append("")
+
+            else:
+                lines.append(f"(策略 {strategy} 的刀路数据)")
+                lines.append("")
+
+            lines.append(f"{d['coolant_off']}")
+            lines.append(f"{d['spindle_off']}")
+            lines.append(f"{d['rapid']} Z100.0")
+            lines.append("")
+
+        lines.append(f"{d['coolant_off']}")
+        lines.append(f"{d['spindle_off']}")
+        lines.append(f"G28 G91 Z0")
+        lines.append(f"G28 G91 X0 Y0")
+        lines.append(f"{d['program_end']}")
+        lines.append(f"%")
+
+        return "\n".join(lines)
+
+
+class MoldCAMDesigner:
+    """模具CAM综合设计器"""
+
+    def __init__(self):
+        self.tool_lib = ToolLibrary()
+        self.params_calc = CuttingParamsCalculator()
+        self.roughing_gen = RoughingToolpathGenerator()
+        self.finishing_gen = FinishingToolpathGenerator()
+        self.post_processor = GCodePostProcessor()
+
+    def design_mold_cam(self, cavity_bbox: Dict, stock_bbox: Dict,
+                         mold_steel: str = "P20",
+                         surface_quality: str = "standard",
+                         controller: str = "fanuc",
+                         program_number: int = 1000) -> Dict[str, Any]:
+        """
+        综合设计模具CAM方案
+
+        Args:
+            cavity_bbox: 型腔边界框
+            stock_bbox: 毛坯边界框
+            mold_steel: 模具钢材料
+            surface_quality: 表面质量要求
+            controller: 数控系统
+            program_number: 程序号
+
+        Returns:
+            完整的CAM方案
+        """
+        logger.info(f"开始模具CAM设计: 钢材={mold_steel}, 质量={surface_quality}")
+
+        roughing_tool = ToolLibrary.select_roughing_tool(
+            self._estimate_cavity_volume(cavity_bbox),
+            steel=mold_steel
+        )
+        roughing_params = CuttingParamsCalculator.calculate_all(roughing_tool)
+
+        finishing_tool = ToolLibrary.select_finishing_tool(
+            surface_quality=surface_quality,
+            steel=mold_steel
+        )
+        finishing_params = CuttingParamsCalculator.calculate_all(finishing_tool)
+
+        roughing_op = self.roughing_gen.generate_z_level_roughing(
+            stock_bbox, cavity_bbox, roughing_tool, roughing_params
+        )
+
+        finishing_op = self.finishing_gen.generate_parallel_finishing(
+            cavity_bbox, finishing_tool, finishing_params
+        )
+
+        operations = [roughing_op, finishing_op]
+
+        gcode = self.post_processor.generate_gcode(
+            operations, program_number=program_number
+        )
+
+        total_time = (
+            roughing_op.get("estimated_time_min", 0) +
+            finishing_op.get("estimated_time_min", 0)
+        )
+
+        result = {
+            "operations": operations,
+            "tools": {
+                "roughing": roughing_params,
+                "finishing": finishing_params,
+            },
+            "gcode": gcode,
+            "gcode_lines": len(gcode.split("\n")),
+            "summary": {
+                "total_operations": len(operations),
+                "total_estimated_time_min": round(total_time, 1),
+                "mold_steel": mold_steel,
+                "surface_quality": surface_quality,
+                "controller": controller,
+            },
+            "recommendations": self._generate_cam_recommendations(
+                roughing_op, finishing_op, mold_steel
+            ),
+        }
+
+        logger.info(f"CAM设计完成: {len(operations)} 个工序, "
+                    f"预计 {total_time:.1f} 分钟")
+
+        return result
+
+    def _estimate_cavity_volume(self, cavity_bbox: Dict) -> float:
+        """估算型腔体积"""
+        dims = cavity_bbox.get("dimensions", [100, 100, 50])
+        return dims[0] * dims[1] * dims[2]
+
+    def _generate_cam_recommendations(self, roughing: Dict, finishing: Dict,
+                                       steel: str) -> List[str]:
+        """生成CAM建议"""
+        recs = []
+
+        roughing_time = roughing.get("estimated_time_min", 0)
+        if roughing_time > 120:
+            recs.append("粗加工时间较长，建议使用更大直径刀具或增加切削深度")
+
+        finishing_roughness = finishing.get("surface_roughness_ra", 0)
+        if finishing_roughness > 0.8:
+            recs.append("表面粗糙度偏高，建议减小步距或使用更小直径球头刀")
+
+        if steel in ("S136", "H13"):
+            recs.append(f"高硬度钢材({steel})，建议使用涂层刀具并降低切削速度")
+            recs.append("建议增加半精加工工序减少精加工余量")
+
+        recs.append("加工前需确认工件坐标系零点位置")
+        recs.append("首件加工建议降低进给率20%进行试切")
+
+        return recs

src/core/mold_generator.py

@@ -1,48 +1,29 @@
-# src/core/mold_generator.py
-from pathlib import Path
-from typing import Dict, List, Any, Tuple, Optional, Callable
+from typing import Dict, List, Any, Tuple, Optional
 import numpy as np
-from OCC.Core.BRepOffsetAPI import BRepOffsetAPI_MakeThickSolid
-from OCC.Core.BRepAlgoAPI import BRepAlgoAPI_Cut, BRepAlgoAPI_Fuse, BRepAlgoAPI_Section
-from OCC.Core.BRepBuilderAPI import BRepBuilderAPI_MakeFace, BRepBuilderAPI_Transform
-from OCC.Core.BRepPrimAPI import BRepPrimAPI_MakeBox
-from OCC.Core.Geom import Geom_Plane
-from OCC.Core.gp import gp_Pln, gp_Dir, gp_Pnt, gp_Vec, gp_Trsf
-from OCC.Core.TopTools import TopTools_ListOfShape
-from OCC.Core.TopoDS import TopoDS_Face, TopoDS_Shape, TopoDS_Edge, TopoDS_Vertex
-from OCC.Core.BRep import BRep_Tool
-from OCC.Core.BRepMesh import BRepMesh_IncrementalMesh
-from OCC.Core.BRepExtrema import BRepExtrema_DistShapeShape
-from OCC.Core.GProp import GProp_GProps
-from OCC.Core.BRepGProp import brepgprop
+from OCC.Core.BRepBuilderAPI import BRepBuilderAPI_MakeFace
+from OCC.Core.gp import gp_Pln, gp_Dir, gp_Pnt
+from OCC.Core.TopoDS import TopoDS_Face
+from OCC.Core.BRepAdaptor import BRepAdaptor_Surface
 from OCC.Core.TopExp import TopExp_Explorer
-from OCC.Core.TopAbs import TopAbs_FACE, TopAbs_EDGE
-from OCC.Core.BRepAdaptor import BRepAdaptor_Surface, BRepAdaptor_Curve
+from OCC.Core.TopAbs import TopAbs_FACE
+from OCC.Core.Bnd import Bnd_Box
+from OCC.Core.BRepBndLib import brepbndlib_Add
 
 from models.schemas import create_mold_cavity_data, create_mold_key_info
 from utils.logger import get_logger
+from core.base_mold_generator import BaseMoldGenerator
+from core.side_action_designer import SideActionDesigner
 
 logger = get_logger(__name__)
 
 
-class MoldCavityGenerator:
+class MoldCavityGenerator(BaseMoldGenerator):
     """模具型腔生成器 - 基于产品模型生成Cavity和Core"""
 
     def __init__(self, shrinkage_rate: float = 0.005, draft_angle: float = 2.0,
                  material_density: float = 1.05):
-        """
-        初始化模具生成器
+        super().__init__(shrinkage_rate, draft_angle, material_density)
 
-        Args:
-            shrinkage_rate: 收缩率（默认0.5% for ABS）
-            draft_angle: 拔模角（默认2度）
-            material_density: 材料密度 g/cm³（默认1.05 for ABS）
-        """
-        self.shrinkage_rate = shrinkage_rate
-        self.draft_angle = draft_angle  # 度
-        self.material_density = material_density  # g/cm³
-
-        # 常用塑料材料密度（g/cm³）
         self.material_densities = {
             "ABS": 1.05,
             "PP": 0.90,
@@ -54,25 +35,9 @@ class MoldCavityGenerator:
             "PMMA": 1.18
         }
 
-        # 分型面检测参数
         self.parting_line_tolerance = 0.1
         self.max_draft_angle = 5.0
-        
-        # AI 模型接口（预留）
-        self.ai_parting_detector: Optional[Any] = None
-        self.ai_draft_analyzer: Optional[Any] = None
-        
-    def set_ai_model(self, parting_detector: Any = None, draft_analyzer: Any = None):
-        """
-        设置 AI 模型接口（预留）
-        
-        Args:
-            parting_detector: 分型面检测 AI 模型
-            draft_analyzer: 拔模分析 AI 模型
-        """
-        self.ai_parting_detector = parting_detector
-        self.ai_draft_analyzer = draft_analyzer
-        logger.info("AI 模型接口已设置")
+        self.side_action_designer = SideActionDesigner()
 
     def set_material(self, material: str):
         """设置产品材料"""
@@ -88,30 +53,36 @@ class MoldCavityGenerator:
 
         Returns:
             {
-                "cavity": cavity_shape,      # 型腔（产品外部）
-                "core": core_shape,          # 型芯（产品内部）
-                "parting_surface": parting_surface,  # 分型面
-                "parting_line": parting_line         # 分型线
+                "cavity": cavity_shape,
+                "core": core_shape,
+                "parting_surface": parting_surface,
+                "parting_line": parting_line
             }
         """
         logger.info("开始生成模具型腔...")
 
         try:
-            # Step 1: 分析产品几何
             analysis = self._analyze_product_geometry(product_shape)
 
-            # Step 2: 检测分型面和分型线
-            parting_surface, parting_line = self._detect_parting_surface(
-                product_shape, analysis
+            parting_result = self._detect_primary_parting(product_shape, analysis)
+            parting_surface = parting_result["surface"]
+            parting_line = self.optimize_parting_line(parting_result["line"])
+            parting_direction = parting_result["direction"]
+
+            side_action_result = self.side_action_designer.analyze_and_design(
+                shape=product_shape,
+                parting_direction=parting_direction,
+                mold_size=self._calculate_mold_size(analysis),
+                parting_surface=parting_surface,
+            )
+            undercut_regions = self._build_undercut_regions(
+                side_action_result.get("undercut_analysis", {})
             )
 
-            # Step 3: 应用收缩率补偿
             scaled_shape = self._apply_shrinkage_compensation(product_shape)
 
-            # Step 4: 添加拔模角
             drafted_shape = self._apply_draft_angles(scaled_shape, parting_surface)
 
-            # Step 5: 分离型腔和型芯
             cavity, core = self._split_cavity_core(drafted_shape, parting_surface)
 
             logger.info("模具型腔生成完成")
@@ -121,7 +92,9 @@ class MoldCavityGenerator:
                 "core": core,
                 "parting_surface": parting_surface,
                 "parting_line": parting_line,
-                "analysis": analysis
+                "analysis": analysis,
+                "undercut_regions": undercut_regions,
+                "side_actions": side_action_result,
             }
 
         except Exception as e:
@@ -140,11 +113,9 @@ class MoldCavityGenerator:
         parting_surface = cavity_data["parting_surface"]
         analysis = cavity_data["analysis"]
 
-        # 提取型腔几何数据
         cavity_geometry = self._extract_shape_geometry(cavity, "cavity")
         core_geometry = self._extract_shape_geometry(core, "core")
 
-        # 提取分型面数据
         parting_geometry = self._extract_parting_surface_geometry(
             parting_surface
         )
@@ -158,16 +129,20 @@ class MoldCavityGenerator:
                 "unit": "mm"
             },
             "product_analysis": {
-                "bounding_box": analysis.get("bounding_box", {}),  # 使用get方法
-                "volume": analysis.get("volume", 0),               # 使用get方法
-                "surface_area": analysis.get("surface_area", 0),   # 使用get方法
-                "center_of_mass": analysis.get("center_of_mass", [0, 0, 0])  # 使用get方法
+                "bounding_box": analysis.get("bounding_box", {}),
+                "volume": analysis.get("volume", 0),
+                "surface_area": analysis.get("surface_area", 0),
+                "center_of_mass": analysis.get("center_of_mass", [0, 0, 0])
             },
             "mold_cavities": {
                 "cavity": cavity_geometry,
                 "core": core_geometry
             },
             "parting_surface": parting_geometry,
+            "quality_checks": {
+                "undercut_regions": cavity_data.get("undercut_regions", []),
+                "side_actions": cavity_data.get("side_actions", {}),
+            },
             "manufacturing_info": {
                 "estimated_mold_size": self._calculate_mold_size(analysis),
                 "estimated_clamping_force": self._calculate_clamping_force(analysis),
@@ -209,6 +184,8 @@ class MoldCavityGenerator:
                 "recommended_injection_pressure": "80-120 MPa"
             },
             "quality_considerations": {
+                "undercut_count": len(cavity_data.get("undercut_regions", [])),
+                "side_action_summary": cavity_data.get("side_actions", {}).get("summary", {}),
                 "potential_weld_lines": self._identify_weld_line_risk(analysis),
                 "sink_mark_areas": self._identify_sink_mark_risk(analysis),
                 "warpage_risk": self._assess_warpage_risk(analysis)
@@ -219,92 +196,60 @@ class MoldCavityGenerator:
 
     # ==================== 内部方法 ====================
 
-    def _analyze_product_geometry(self, shape: Any) -> Dict[str, Any]:
-        """分析产品几何属性"""
-        # 计算体积属性
-        volume_props = GProp_GProps()
-        brepgprop.VolumeProperties(shape, volume_props)
-
-        # 计算表面积属性
-        surface_props = GProp_GProps()
-        brepgprop.SurfaceProperties(shape, surface_props)
-
-        # 计算边界框
-        from OCC.Core.Bnd import Bnd_Box
-        from OCC.Core.BRepBndLib import brepbndlib
-
-        bbox = Bnd_Box()
-        brepbndlib.Add(shape, bbox)
-        xmin, ymin, zmin, xmax, ymax, zmax = bbox.Get()
-
-        return {
-            "volume": volume_props.Mass(),
-            "surface_area": surface_props.Mass(),
-            "center_of_mass": [
-                volume_props.CentreOfMass().X(),
-                volume_props.CentreOfMass().Y(),
-                volume_props.CentreOfMass().Z()
-            ],
-            "bounding_box": {
-                "min": [xmin, ymin, zmin],
-                "max": [xmax, ymax, zmax],
-                "dimensions": [xmax - xmin, ymax - ymin, zmax - zmin],
-                "center": [(xmin + xmax) / 2, (ymin + ymax) / 2, (zmin + zmax) / 2]
-            },
-            "inertia_matrix": self._get_inertia_matrix(volume_props)
-        }
-
     def _detect_parting_surface(self, shape: Any, analysis: Dict) -> Tuple[Any, List]:
         """
         检测分型面和分型线
-        
+
         优先级：
         1. AI 模型检测（如果已设置）
         2. 基于法向量分析的几何方法
         3. 简化方法（基于边界框）
         """
-        # 1. 尝试使用 AI 模型
-        if self.ai_parting_detector is not None:
-            try:
-                logger.info("使用 AI 模型检测分型面")
-                ai_result = self.ai_parting_detector.detect(shape, analysis)
-                if ai_result:
-                    return self._create_parting_surface_from_ai(ai_result, analysis)
-            except Exception as e:
-                logger.warning(f"AI 分型面检测失败，回退到几何方法：{e}")
-        
-        # 2. 基于法向量分析的几何方法
         try:
-            logger.info("使用法向量分析检测分型面")
-            optimal_direction = self._analyze_face_normals(shape)
-            parting_plane = self._create_optimal_parting_plane(
-                shape, analysis, optimal_direction
+            parting_result = self._detect_primary_parting(shape, analysis)
+            logger.info(
+                f"使用 {parting_result['method']} 方法检测分型面，"
+                f"置信度={parting_result['confidence']:.3f}"
             )
-            parting_surface = BRepBuilderAPI_MakeFace(parting_plane).Face()
-            
-            # 计算真实分型线（产品与分型面的交线）
-            parting_line = self._calculate_parting_line(shape, parting_surface)
-            
-            return parting_surface, parting_line
-            
+            return parting_result["surface"], self.optimize_parting_line(parting_result["line"])
+
         except Exception as e:
             logger.warning(f"法向量分析失败，使用简化方法：{e}")
-        
-        # 3. 简化方法（回退）
+
         logger.info("使用简化方法检测分型面")
-        return self._simple_parting_surface(analysis)
+        return self._simple_parting_surface(shape, analysis)
 
-    def _apply_shrinkage_compensation(self, shape: Any) -> Any:
-        """应用收缩率补偿（放大模型）"""
-        scale_factor = 1.0 + self.shrinkage_rate
+    def _build_undercut_regions(self, undercut_analysis: Dict[str, Any]) -> List[Dict[str, Any]]:
+        """将侧向机构分析结果转换为兼容旧结构的倒扣区域列表。"""
+        undercut_faces = undercut_analysis.get("undercut_faces", [])
+        regions = []
 
-        # 创建缩放变换
-        trsf = gp_Trsf()
-        trsf.SetScale(gp_Pnt(0, 0, 0), scale_factor)
+        for face in undercut_faces:
+            regions.append({
+                "type": "negative_draft",
+                "location": face.get("center", [0, 0, 0]),
+                "severity": face.get("severity", "medium"),
+                "area": face.get("area", 0),
+                "is_outer": face.get("is_outer", False),
+                "face_index": face.get("face_index"),
+            })
 
-        from OCC.Core.BRepBuilderAPI import BRepBuilderAPI_Transform
-        scaled_shape = BRepBuilderAPI_Transform(shape, trsf, True).Shape()
+        logger.info(f"转换得到 {len(regions)} 个兼容倒扣区域")
+        return regions
 
+<<<<<<< HEAD
+    def _analyze_face_normals(self, shape: Any) -> gp_Dir:
+        """
+        分析产品表面的法向量分布，找出最优分型方向
+
+        原理：
+        - 统计所有面的法向量
+        - 选择法向量变化最小的方向作为分型方向
+        - 避免倒扣（undercut）区域
+        """
+        face_normals = []
+        explorer = TopExp_Explorer(shape, TopAbs_FACE)
+=======
         return scaled_shape
 
     def _apply_draft_angles(self, shape: Any, parting_surface: Any) -> Any:
@@ -384,131 +329,145 @@ class MoldCavityGenerator:
         except Exception as e:
             logger.error(f"分模失败: {e}")
             return shape, shape
+>>>>>>> 77c4885a4020b609f4964184661f42e936814c4f
 
-    def _extract_shape_geometry(self, shape: Any, shape_type: str) -> Dict[str, Any]:
-        """提取形状几何数据为JSON格式"""
-        try:
-            # 网格化
-            mesh = BRepMesh_IncrementalMesh(shape, 0.1)
-            mesh.Perform()
+        while explorer.More():
+            face = TopoDS_Face(explorer.Current())
+            surface = BRepAdaptor_Surface(face)
 
-            # 提取顶点和面
-            from OCC.Core.TopExp import TopExp_Explorer
-            from OCC.Core.TopAbs import TopAbs_FACE
-            from OCC.Core.BRep import BRep_Tool
-            from OCC.Core.Poly import Poly_Triangulation
-            from OCC.Core.TopLoc import TopLoc_Location
+            try:
+                if surface.GetType() == 0:
+                    normal = surface.Plane().Position().Direction()
+                else:
+                    bbox = Bnd_Box()
+                    brepbndlib_Add(face, bbox)
+                    normal = gp_Dir(0, 0, 1)
 
-            vertices = []
-            faces = []
+                face_normals.append(normal)
+            except Exception as e:
+                logger.debug(f"面法向量计算失败：{e}")
 
-            explorer = TopExp_Explorer(shape, TopAbs_FACE)
-            vertex_index = 0
+            explorer.Next()
 
-            while explorer.More():
-                # 使用 explorer.Current() 直接获取面
-                face = explorer.Current()
-                location = TopLoc_Location()
-                triangulation = BRep_Tool.Triangulation(face, location)
+        if not face_normals:
+            return gp_Dir(0, 0, 1)
 
-                if triangulation:
-                    # 提取顶点
-                    nb_nodes = triangulation.NbNodes()
-                    for i in range(1, nb_nodes + 1):
-                        node = triangulation.Node(i)
-                        # 应用位置变换
-                        transformed = node.Transformed(location.Transformation())
-                        vertices.extend([
-                            float(transformed.X()),
-                            float(transformed.Y()),
-                            float(transformed.Z())
-                        ])
+        avg_x = sum(n.X() for n in face_normals) / len(face_normals)
+        avg_y = sum(n.Y() for n in face_normals) / len(face_normals)
+        avg_z = sum(n.Z() for n in face_normals) / len(face_normals)
 
-                    # 提取三角形面
-                    nb_triangles = triangulation.NbTriangles()
-                    for i in range(1, nb_triangles + 1):
-                        triangle = triangulation.Triangle(i)
-                        # 三角形顶点索引需要加上之前的顶点数量
-                        idx1 = triangle.Value(1) + vertex_index - 1
-                        idx2 = triangle.Value(2) + vertex_index - 1
-                        idx3 = triangle.Value(3) + vertex_index - 1
-                        faces.extend([int(idx1), int(idx2), int(idx3)])
+        length = np.sqrt(avg_x**2 + avg_y**2 + avg_z**2)
+        if length > 0.001:
+            return gp_Dir(avg_x/length, avg_y/length, avg_z/length)
+        else:
+            return gp_Dir(0, 0, 1)
 
-                    vertex_index += nb_nodes
+    def _create_optimal_parting_plane(self, shape: Any, analysis: Dict,
+                                      direction: gp_Dir) -> gp_Pln:
+        """
+        创建最优分型面
 
-                explorer.Next()
+        Args:
+            shape: 产品形状
+            analysis: 几何分析结果
+            direction: 分型方向（法向量）
 
-            vertex_count = len(vertices) // 3
-            face_count = len(faces) // 3
+        Returns:
+            gp_Pln: 分型面方程
+        """
+        bbox = analysis["bounding_box"]
+        center = bbox["center"]
 
-            return {
-                "type": shape_type,
-                "vertices": vertices,
-                "faces": faces,
-                "vertex_count": vertex_count,
-                "face_count": face_count,
-                "triangulation": "BRepMesh三角化"
-            }
+        parting_plane = gp_Pln(
+            gp_Pnt(center[0], center[1], center[2]),
+            direction
+        )
 
-        except Exception as e:
-            logger.error(f"{shape_type}几何提取失败: {e}")
-            return {
-                "type": shape_type,
-                "vertices": [],
-                "faces": [],
-                "vertex_count": 0,
-                "face_count": 0,
-                "triangulation": f"提取失败: {str(e)}"
-            }
+        logger.info(f"创建分型面：原点=({center[0]:.2f}, {center[1]:.2f}, {center[2]:.2f}), "
+                   f"法向量=({direction.X():.3f}, {direction.Y():.3f}, {direction.Z():.3f})")
+
+        return parting_plane
+
+    def _simple_parting_surface(self, shape: Any, analysis: Dict) -> Tuple[Any, List]:
+        """简化的分型面检测（回退方案）"""
+        bbox = analysis["bounding_box"]
+        center_z = bbox["center"][2]
+
+        parting_plane = gp_Pln(
+            gp_Pnt(0, 0, center_z),
+            gp_Dir(0, 0, 1)
+        )
+        parting_surface = BRepBuilderAPI_MakeFace(
+            parting_plane,
+            bbox["min"][0] - 10, bbox["max"][0] + 10,
+            bbox["min"][1] - 10, bbox["max"][1] + 10
+        ).Face()
+
+        parting_line = self._simple_parting_line(shape)
+
+        return parting_surface, parting_line
+
+    def _create_parting_surface_from_ai(self, ai_result: Dict,
+                                        analysis: Dict, shape: Any = None) -> Tuple[Any, List]:
+        """
+        从 AI 模型结果创建分型面（预留接口）
+
+        Args:
+            ai_result: AI 模型输出，应包含：
+                - origin: [x, y, z] 平面原点
+                - normal: [nx, ny, nz] 法向量
+            analysis: 几何分析结果
+            shape: 产品形状（用于计算分型线）
+
+        Returns:
+            (parting_surface, parting_line)
+        """
+        origin = ai_result.get("origin", [0, 0, 0])
+        normal = ai_result.get("normal", [0, 0, 1])
+
+        parting_plane = gp_Pln(
+            gp_Pnt(origin[0], origin[1], origin[2]),
+            gp_Dir(normal[0], normal[1], normal[2])
+        )
+        parting_surface = BRepBuilderAPI_MakeFace(parting_plane).Face()
+
+        if "parting_line" in ai_result:
+            parting_line = ai_result["parting_line"]
+        elif shape is not None:
+            parting_line = self._calculate_parting_line(shape, parting_surface)
+        else:
+            parting_line = []
+
+        logger.info(f"从 AI 结果创建分型面：原点={origin}, 法向量={normal}")
+        return parting_surface, parting_line
 
     def _extract_parting_surface_geometry(self, surface: Any) -> Dict[str, Any]:
         """提取分型面几何数据"""
-        # 尝试从surface获取边界信息，失败则使用默认值
-        try:
-            from OCC.Core.BRepAdaptor import BRepAdaptor_Surface
-            adaptor = BRepAdaptor_Surface(surface)
-            u_min, u_max = adaptor.FirstUParameter(), adaptor.LastUParameter()
-            v_min, v_max = adaptor.FirstVParameter(), adaptor.LastVParameter()
+        metadata = self._extract_plane_metadata(surface)
 
-            bounds = {
-                "u_range": [float(u_min), float(u_max)],
-                "v_range": [float(v_min), float(v_max)]
-            }
-        except Exception as e:
-            logger.warning(f"分型面边界提取失败，使用默认值: {e}")
-            bounds = {
-                "u_range": [-200, 200],
-                "v_range": [-200, 200]
-            }
-
-        # 分型面是水平面，法向量为 [0, 0, 1]，原点在 Z 轴中心
         return {
             "type": "plane",
-            "normal": [0, 0, 1],
-            "origin": [0, 0, 0],
-            "bounds": bounds
+            "normal": metadata["normal"],
+            "origin": metadata["origin"],
+            "bounds": metadata["bounds"],
         }
 
     def _calculate_mold_size(self, analysis: Dict) -> Dict[str, float]:
         """估算模具尺寸"""
         product_bbox = analysis["bounding_box"]["dimensions"]
-
-        # 模具通常比产品大20-50mm
-        margin = 30  # mm
+        margin = 30
 
         return {
             "length": product_bbox[0] + 2 * margin,
             "width": product_bbox[1] + 2 * margin,
-            "height": product_bbox[2] + 2 * margin + 100,  # 增加100mm用于模架
+            "height": product_bbox[2] + 2 * margin + 100,
             "margin": margin
         }
 
     def _calculate_clamping_force(self, analysis: Dict) -> str:
         """估算锁模力"""
-        volume_cm3 = analysis.get("volume", 0) / 1000  # mm³ → cm³
+        volume_cm3 = analysis.get("volume", 0) / 1000
 
-        # 经验公式: 锁模力 ≈ 投影面积 × 压力 × 安全系数
-        # 简化估算
         if volume_cm3 < 10:
             return "50-100 吨"
         elif volume_cm3 < 100:
@@ -520,18 +479,8 @@ class MoldCavityGenerator:
 
     def _get_recommended_material(self) -> str:
         """推荐模具材料"""
-        # 根据产品产量推荐模具材料
-        # 小批量 (<5000件): 铝合金
-        # 中批量 (5000-50000件): P20钢
-        # 大批量 (>50000件): H13钢
         return "Aluminum Alloy 7075 (铝合金模具)"
 
-    def _calculate_product_weight(self, analysis: Dict) -> str:
-        """计算产品重量（使用当前材料密度）"""
-        volume_cm3 = analysis.get("volume", 0) / 1000
-        weight_g = volume_cm3 * self.material_density
-        return f"{weight_g:.2f} g"
-
     def _estimate_wall_thickness(self, analysis: Dict) -> str:
         """估算壁厚范围"""
         volume = analysis.get("volume", 0)
@@ -541,19 +490,17 @@ class MoldCavityGenerator:
             avg_thickness = (volume / surface_area) * 0.6
             return f"{avg_thickness * 0.7:.2f} - {avg_thickness * 1.3:.2f} mm"
         elif volume > 0:
-            # 如果没有surface_area，基于体积估算
-            bbox_dims = analysis.get("bounding_box", {}).get("dimensions", [0, 0, 0])
+            bbox_dims = analysis.get("bounding_box", {}).get("dimensions", [1, 1, 1])
             bbox_volume = bbox_dims[0] * bbox_dims[1] * bbox_dims[2]
             if bbox_volume > 0:
                 efficiency = volume / bbox_volume
                 avg_thickness = (bbox_dims[0] + bbox_dims[1]) / 2 * efficiency
                 return f"{avg_thickness * 0.7:.2f} - {avg_thickness * 1.3:.2f} mm"
 
-        return "无法估算 (缺少几何数据)"
+        return "2.0 - 4.0 mm (默认)"
 
     def _calculate_complexity_score(self, analysis: Dict) -> float:
         """计算复杂度评分（0-10）"""
-        # 基于体积、表面积比、边界框等
         volume = analysis.get("volume", 0)
         surface_area = analysis.get("surface_area", 0)
 
@@ -562,15 +509,14 @@ class MoldCavityGenerator:
             complexity = min(thickness_ratio / 5.0, 10.0)
             return round(complexity, 1)
         elif volume > 0:
-            # 如果没有surface_area，基于拓扑复杂度评分
-            bbox_dims = analysis.get("bounding_box", {}).get("dimensions", [0, 0, 0])
+            bbox_dims = analysis.get("bounding_box", {}).get("dimensions", [100, 100, 100])
             bbox_volume = bbox_dims[0] * bbox_dims[1] * bbox_dims[2]
             if bbox_volume > 0:
                 volume_ratio = volume / bbox_volume
                 complexity = (1.0 - volume_ratio) * 10
                 return round(min(max(complexity, 0), 10), 1)
 
-        return 0.0
+        return 5.0
 
     def _estimate_cycle_time(self, analysis: Dict) -> str:
         """估算成型周期"""
@@ -587,7 +533,6 @@ class MoldCavityGenerator:
 
     def _identify_weld_line_risk(self, analysis: Dict) -> str:
         """识别熔接痕风险"""
-        # 基于几何复杂度判断
         complexity = self._calculate_complexity_score(analysis)
 
         if complexity > 7:
@@ -599,308 +544,4 @@ class MoldCavityGenerator:
 
     def _identify_sink_mark_risk(self, analysis: Dict) -> str:
         """识别缩痕风险"""
-        thickness = self._estimate_wall_thickness(analysis)
-        # 简化的风险评估
         return "中 - 建议壁厚均匀性检查"
-
-    def _assess_warpage_risk(self, analysis: Dict) -> str:
-        """评估翘曲风险"""
-        bbox = analysis.get("bounding_box", {}).get("dimensions", [0, 0, 0])
-        aspect_ratio = max(bbox) / min(bbox)
-
-        if aspect_ratio > 5:
-            return "高 - 建议增加加强筋"
-        elif aspect_ratio > 3:
-            return "中 - 需优化冷却"
-        else:
-            return "低"
-
-    def _get_inertia_matrix(self, props: GProp_GProps) -> List[List[float]]:
-        """获取惯性矩阵"""
-        inertia = props.MatrixOfInertia()
-        return [
-            [inertia.Value(1, 1), inertia.Value(1, 2), inertia.Value(1, 3)],
-            [inertia.Value(2, 1), inertia.Value(2, 2), inertia.Value(2, 3)],
-            [inertia.Value(3, 1), inertia.Value(3, 2), inertia.Value(3, 3)]
-        ]
-
-    def _analyze_face_normals(self, shape: Any) -> gp_Dir:
-        """
-        分析产品表面的法向量分布，找出最优分型方向
-        
-        原理：
-        - 统计所有面的法向量
-        - 选择法向量变化最小的方向作为分型方向
-        - 避免倒扣（undercut）区域
-        """
-        from OCC.Core.TopoDS import TopoDS_Compound
-        from OCC.Core.TopTools import TopTools_IndexedMapOfShape
-        
-        # 收集所有面的法向量
-        face_normals = []
-        explorer = TopExp_Explorer(shape, TopAbs_FACE)
-        
-        while explorer.More():
-            face = TopoDS_Face(explorer.Current())
-            surface = BRepAdaptor_Surface(face)
-            
-            # 获取面的法向量（在参数中心点）
-            try:
-                u = (surface.FirstUParameter() + surface.LastUParameter()) / 2
-                v = (surface.FirstVParameter() + surface.LastVParameter()) / 2
-                
-                normal = gp_Dir()
-                # 从曲面获取法向量
-                if surface.GetType() == 0:  # Plane
-                    normal = surface.Plane().Position().Direction()
-                else:
-                    # 对于非平面，使用微分几何计算法向量
-                    from OCC.Core.GCPnts import GCPnts_AbscissaPoint
-                    from OCC.Core.BRepGProp import brepgprop_VolumeProperties
-                    
-                    # 简化：使用面的边界框中心法向量
-                    from OCC.Core.Bnd import Bnd_Box
-                    from OCC.Core.BRepBndLib import brepbndlib_Add
-                    bbox = Bnd_Box()
-                    brepbndlib_Add(face, bbox)
-                    center = bbox.Center()
-                    
-                    # 估算面法向量（简化）
-                    normal = gp_Dir(0, 0, 1)  # 默认 Z 方向
-                
-                face_normals.append(normal)
-            except Exception as e:
-                logger.debug(f"面法向量计算失败：{e}")
-            
-            explorer.Next()
-        
-        # 如果没有法向量，返回默认 Z 方向
-        if not face_normals:
-            return gp_Dir(0, 0, 1)
-        
-        # 统计法向量分布，选择最优方向
-        # 简化实现：计算平均法向量
-        avg_x = sum(n.X() for n in face_normals) / len(face_normals)
-        avg_y = sum(n.Y() for n in face_normals) / len(face_normals)
-        avg_z = sum(n.Z() for n in face_normals) / len(face_normals)
-        
-        # 归一化
-        length = np.sqrt(avg_x**2 + avg_y**2 + avg_z**2)
-        if length > 0.001:
-            return gp_Dir(avg_x/length, avg_y/length, avg_z/length)
-        else:
-            return gp_Dir(0, 0, 1)
-    
-    def _create_optimal_parting_plane(self, shape: Any, analysis: Dict, 
-                                      direction: gp_Dir) -> gp_Pln:
-        """
-        创建最优分型面
-        
-        Args:
-            shape: 产品形状
-            analysis: 几何分析结果
-            direction: 分型方向（法向量）
-        
-        Returns:
-            gp_Pln: 分型面方程
-        """
-        bbox = analysis["bounding_box"]
-        
-        # 分型面通过产品的质心
-        center = bbox["center"]
-        
-        # 创建平面：通过质心，法向量为分型方向
-        parting_plane = gp_Pln(
-            gp_Pnt(center[0], center[1], center[2]),
-            direction
-        )
-        
-        logger.info(f"创建分型面：原点=({center[0]:.2f}, {center[1]:.2f}, {center[2]:.2f}), "
-                   f"法向量=({direction.X():.3f}, {direction.Y():.3f}, {direction.Z():.3f})")
-        
-        return parting_plane
-    
-    def _calculate_parting_line(self, shape: Any, parting_surface: Any) -> List[List[float]]:
-        """
-        计算真实的分型线（产品与分型面的交线）
-        
-        使用 BRepAlgoAPI_Section 进行布尔运算求交
-        """
-        # 获取实际边界框作为回退
-        try:
-            bbox_fallback = Bnd_Box()
-            brepbndlib.Add(shape, bbox_fallback)
-            xmin, ymin, zmin, xmax, ymax, zmax = bbox_fallback.Get()
-            fallback_bbox = {"bounding_box": {"min": [xmin, ymin, zmin], "max": [xmax, ymax, zmax], "center": [(xmin+xmax)/2, (ymin+ymax)/2, (zmin+zmax)/2]}}
-        except Exception:
-            fallback_bbox = {"bounding_box": {"min": [0, 0, 0], "max": [0, 0, 0], "center": [0, 0, 0]}}
-
-        try:
-            # 创建截面运算
-            section = BRepAlgoAPI_Section(shape, parting_surface)
-            section.Build()
-            
-            if not section.IsDone():
-                logger.warning("截面运算未完成，使用简化分型线")
-                return self._simple_parting_line(
-                    parting_surface, 
-                    fallback_bbox
-                )
-            
-            # 提取交线（边）
-            edges = []
-            explorer = TopExp_Explorer(section.Shape(), TopAbs_EDGE)
-            
-            while explorer.More():
-                edge = TopoDS_Edge(explorer.Current())
-                
-                # 从边提取点
-                curve = BRepAdaptor_Curve(edge)
-                first_param = curve.FirstParameter()
-                last_param = curve.LastParameter()
-                
-                # 采样点（至少 10 个点）
-                num_points = max(10, int((last_param - first_param) / 0.5))
-                step = (last_param - first_param) / num_points
-                
-                for i in range(num_points + 1):
-                    param = first_param + i * step
-                    point = curve.Value(param)
-                    edges.append([point.X(), point.Y(), point.Z()])
-                
-                explorer.Next()
-            
-            # 如果没有边，使用简化分型线
-            if not edges:
-                logger.warning("未找到交线，使用简化分型线")
-                return self._simple_parting_line(
-                    parting_surface,
-                    fallback_bbox
-                )
-            
-            logger.info(f"计算得到 {len(edges)} 个分型线点")
-            return edges
-            
-        except Exception as e:
-            logger.error(f"分型线计算失败：{e}")
-            return self._simple_parting_line(
-                parting_surface,
-                fallback_bbox
-            )
-    
-    def _simple_parting_surface(self, analysis: Dict) -> Tuple[Any, List]:
-        """简化的分型面检测（回退方案）"""
-        bbox = analysis["bounding_box"]
-        center_z = bbox["center"][2]
-        
-        # 创建分型面（XY 平面）
-        parting_plane = gp_Pln(
-            gp_Pnt(0, 0, center_z),
-            gp_Dir(0, 0, 1)
-        )
-        parting_surface = BRepBuilderAPI_MakeFace(
-            parting_plane,
-            bbox["min"][0] - 10, bbox["max"][0] + 10,
-            bbox["min"][1] - 10, bbox["max"][1] + 10
-        ).Face()
-        
-        # 简化分型线
-        parting_line = self._simple_parting_line(parting_surface, analysis)
-        
-        return parting_surface, parting_line
-    
-    def _simple_parting_line(self, parting_surface: Any, analysis: Dict) -> List[List[float]]:
-        """简化的分型线（矩形）"""
-        bbox = analysis["bounding_box"]
-        center_z = bbox["center"][2]
-        
-        return [
-            [bbox["min"][0], bbox["min"][1], center_z],
-            [bbox["max"][0], bbox["min"][1], center_z],
-            [bbox["max"][0], bbox["max"][1], center_z],
-            [bbox["min"][0], bbox["max"][1], center_z],
-            [bbox["min"][0], bbox["min"][1], center_z]
-        ]
-    
-    def _create_parting_surface_from_ai(self, ai_result: Dict, 
-                                        analysis: Dict) -> Tuple[Any, List]:
-        """
-        从 AI 模型结果创建分型面（预留接口）
-        
-        Args:
-            ai_result: AI 模型输出，应包含：
-                - origin: [x, y, z] 平面原点
-                - normal: [nx, ny, nz] 法向量
-            analysis: 几何分析结果
-        
-        Returns:
-            (parting_surface, parting_line)
-        """
-        origin = ai_result.get("origin", [0, 0, 0])
-        normal = ai_result.get("normal", [0, 0, 1])
-        
-        # 创建平面
-        parting_plane = gp_Pln(
-            gp_Pnt(origin[0], origin[1], origin[2]),
-            gp_Dir(normal[0], normal[1], normal[2])
-        )
-        parting_surface = BRepBuilderAPI_MakeFace(parting_plane).Face()
-        
-        # 分型线可以使用 AI 结果或重新计算
-        if "parting_line" in ai_result:
-            parting_line = ai_result["parting_line"]
-        else:
-            parting_line = self._simple_parting_line(parting_surface, analysis)
-        
-        logger.info(f"从 AI 结果创建分型面：原点={origin}, 法向量={normal}")
-        return parting_surface, parting_line
-    
-    def _apply_draft_angles(self, shape: Any, parting_surface: Any) -> Any:
-        """
-        添加拔模角
-        
-        使用 OpenCASCADE 的拔模功能
-        """
-        # 1. 尝试使用 AI 模型
-        if self.ai_draft_analyzer is not None:
-            try:
-                logger.info("使用 AI 模型分析拔模角")
-                ai_result = self.ai_draft_analyzer.analyze(shape, parting_surface, self.draft_angle)
-                if ai_result and "drafted_shape" in ai_result:
-                    logger.info("AI 拔模分析成功")
-                    return ai_result["drafted_shape"]
-            except Exception as e:
-                logger.warning(f"AI 拔模分析失败，回退到几何方法：{e}")
-        
-        # 2. 几何方法（简化实现）
-        try:
-            # 获取分型面的法向量作为拔模方向
-            surface_adaptor = BRepAdaptor_Surface(parting_surface)
-            draft_direction = surface_adaptor.Plane().Position().Direction()
-            
-            # 使用 BRepOffsetAPI_ThickSolid 创建拔模
-            # 注意：完整的拔模需要更复杂的实现，这里简化处理
-            logger.info(f"使用几何方法添加拔模角：{self.draft_angle}度，方向=({draft_direction.X():.3f}, {draft_direction.Y():.3f}, {draft_direction.Z():.3f})")
-            
-            # 简化：直接返回原始形状（拔模已在 CAD 中处理）
-            # 完整实现需要使用 BRepOffsetAPI_DraftAngle
-            return shape
-            
-        except Exception as e:
-            logger.warning(f"拔模角处理失败：{e}")
-            return shape
-    
-    def _calculate_parting_line_length(self, parting_line: List) -> float:
-        """计算分型线长度"""
-        if not parting_line or len(parting_line) < 2:
-            return 0.0
-        
-        # 计算折线总长度
-        total_length = 0.0
-        for i in range(1, len(parting_line)):
-            p1 = np.array(parting_line[i-1])
-            p2 = np.array(parting_line[i])
-            segment_length = np.linalg.norm(p2 - p1)
-            total_length += segment_length
-        
-        return total_length

src/core/mold_machining.py

@@ -0,0 +1,762 @@
+"""
+模具加工碰撞检测与刀路优化模块
+
+功能：
+1. CollisionDetector - 碰撞检测器
+   - 刀柄干涉检测
+   - 快速移动碰撞检测
+   - 机床行程限制验证
+   - 安全区域计算
+
+2. ToolpathOptimizer - 刀路优化器
+   - 进给率自适应优化
+   - 空走刀路径最小化
+   - 拐角减速处理
+   - 切入切出优化
+
+3. EDMElectrodeDesigner - EDM电极设计器
+   - 电极自动生成
+   - 放电间隙计算
+   - 电极加工路径
+
+4. MachiningSimulator - 加工仿真器
+   - 材料去除模拟
+   - 过切检测
+   - 残余材料分析
+   - 加工质量评估
+"""
+
+from typing import Dict, List, Any, Optional, Tuple
+import math
+import numpy as np
+from utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+class CollisionDetector:
+    """碰撞检测器"""
+
+    def __init__(self):
+        self.machine_limits = {
+            "x_min": -500, "x_max": 500,
+            "y_min": -400, "y_max": 400,
+            "z_min": -300, "z_max": 300,
+        }
+        self.safety_margin = 5.0
+        self.retract_height = 50.0
+
+    def check_toolpath_safety(self, toolpath_points: List[List[float]],
+                                tool: Dict, stock_bbox: Dict,
+                                clamp_positions: Optional[List[Dict]] = None) -> Dict[str, Any]:
+        """
+        综合检查刀路安全性
+
+        Args:
+            toolpath_points: 刀路点列表 [[x,y,z], ...]
+            tool: 刀具参数
+            stock_bbox: 毛坯边界框
+            clamp_positions: 压板位置列表
+
+        Returns:
+            安全检查结果
+        """
+        holder_collisions = self._check_holder_collision(toolpath_points, tool, stock_bbox)
+
+        rapid_collisions = self._check_rapid_move_collisions(toolpath_points, stock_bbox)
+
+        limit_violations = self._check_machine_limits(toolpath_points)
+
+        clamp_collisions = []
+        if clamp_positions:
+            clamp_collisions = self._check_clamp_collisions(
+                toolpath_points, tool, clamp_positions
+            )
+
+        all_issues = holder_collisions + rapid_collisions + limit_violations + clamp_collisions
+
+        safe_retract_points = self._calculate_safe_retract_points(
+            toolpath_points, stock_bbox
+        )
+
+        is_safe = len(all_issues) == 0
+
+        return {
+            "is_safe": is_safe,
+            "total_issues": len(all_issues),
+            "holder_collisions": holder_collisions,
+            "rapid_collisions": rapid_collisions,
+            "limit_violations": limit_violations,
+            "clamp_collisions": clamp_collisions,
+            "safe_retract_points": safe_retract_points,
+            "recommendations": self._generate_safety_recommendations(all_issues),
+        }
+
+    def _check_holder_collision(self, points: List[List[float]],
+                                 tool: Dict, stock_bbox: Dict) -> List[Dict]:
+        """检测刀柄干涉"""
+        collisions = []
+        tool_diameter = tool.get("diameter", 10)
+        flute_length = tool.get("flute_length", 30)
+        shank_diameter = tool.get("shank_diameter", tool_diameter)
+        holder_diameter = tool.get("holder_diameter", shank_diameter * 2)
+
+        stock_z_max = stock_bbox.get("max", [0, 0, 0])[2]
+
+        for i, pt in enumerate(points):
+            if len(pt) < 3:
+                continue
+
+            z = pt[2]
+            depth_below_stock = stock_z_max - z
+
+            if depth_below_stock > flute_length:
+                holder_z = z + flute_length
+                holder_clearance = holder_diameter / 2 + self.safety_margin
+
+                stock_xmin = stock_bbox.get("min", [0, 0, 0])[0]
+                stock_xmax = stock_bbox.get("max", [0, 0, 0])[0]
+                stock_ymin = stock_bbox.get("min", [0, 0, 0])[1]
+                stock_ymax = stock_bbox.get("max", [0, 0, 0])[1]
+
+                if (stock_xmin - holder_clearance < pt[0] < stock_xmax + holder_clearance and
+                    stock_ymin - holder_clearance < pt[1] < stock_ymax + holder_clearance):
+                    collisions.append({
+                        "type": "holder_collision",
+                        "point_index": i,
+                        "position": pt,
+                        "depth": round(depth_below_stock, 2),
+                        "flute_length": flute_length,
+                        "severity": "high",
+                        "message": f"点{i}: 切深{depth_below_stock:.1f}mm超过刃长{flute_length}mm，刀柄可能干涉"
+                    })
+
+        return collisions
+
+    def _check_rapid_move_collisions(self, points: List[List[float]],
+                                      stock_bbox: Dict) -> List[Dict]:
+        """检测快速移动碰撞"""
+        collisions = []
+
+        stock_xmin = stock_bbox.get("min", [0, 0, 0])[0]
+        stock_xmax = stock_bbox.get("max", [0, 0, 0])[0]
+        stock_ymin = stock_bbox.get("min", [0, 0, 0])[1]
+        stock_ymax = stock_bbox.get("max", [0, 0, 0])[1]
+        stock_zmin = stock_bbox.get("min", [0, 0, 0])[2]
+        stock_zmax = stock_bbox.get("max", [0, 0, 0])[2]
+
+        for i in range(1, len(points)):
+            prev = points[i - 1]
+            curr = points[i]
+
+            if len(prev) < 3 or len(curr) < 3:
+                continue
+
+            z_change = abs(curr[2] - prev[2])
+            xy_change = math.sqrt((curr[0] - prev[0])**2 + (curr[1] - prev[1])**2)
+
+            if z_change < 1.0 and xy_change > 5.0:
+                min_z = min(prev[2], curr[2])
+
+                if min_z < stock_zmax + self.safety_margin:
+                    mid_x = (prev[0] + curr[0]) / 2
+                    mid_y = (prev[1] + curr[1]) / 2
+
+                    if (stock_xmin < mid_x < stock_xmax and
+                        stock_ymin < mid_y < stock_ymax):
+                        collisions.append({
+                            "type": "rapid_collision",
+                            "segment": [i - 1, i],
+                            "start": prev,
+                            "end": curr,
+                            "severity": "high",
+                            "message": f"段{i-1}-{i}: 水平快速移动可能穿过毛坯"
+                        })
+
+        return collisions
+
+    def _check_machine_limits(self, points: List[List[float]]) -> List[Dict]:
+        """验证机床行程限制"""
+        violations = []
+
+        for i, pt in enumerate(points):
+            if len(pt) < 3:
+                continue
+
+            if not (self.machine_limits["x_min"] <= pt[0] <= self.machine_limits["x_max"]):
+                violations.append({
+                    "type": "machine_limit",
+                    "point_index": i,
+                    "axis": "X",
+                    "value": pt[0],
+                    "limit": [self.machine_limits["x_min"], self.machine_limits["x_max"]],
+                    "severity": "critical",
+                })
+            if not (self.machine_limits["y_min"] <= pt[1] <= self.machine_limits["y_max"]):
+                violations.append({
+                    "type": "machine_limit",
+                    "point_index": i,
+                    "axis": "Y",
+                    "value": pt[1],
+                    "limit": [self.machine_limits["y_min"], self.machine_limits["y_max"]],
+                    "severity": "critical",
+                })
+            if not (self.machine_limits["z_min"] <= pt[2] <= self.machine_limits["z_max"]):
+                violations.append({
+                    "type": "machine_limit",
+                    "point_index": i,
+                    "axis": "Z",
+                    "value": pt[2],
+                    "limit": [self.machine_limits["z_min"], self.machine_limits["z_max"]],
+                    "severity": "critical",
+                })
+
+        return violations
+
+    def _check_clamp_collisions(self, points: List[List[float]], tool: Dict,
+                                 clamps: List[Dict]) -> List[Dict]:
+        """检测压板碰撞"""
+        collisions = []
+        tool_radius = tool.get("diameter", 10) / 2
+
+        for i, pt in enumerate(points):
+            if len(pt) < 3:
+                continue
+
+            for j, clamp in enumerate(clamps):
+                clamp_center = clamp.get("center", [0, 0, 0])
+                clamp_size = clamp.get("size", [50, 30, 20])
+                clamp_z_top = clamp_center[2] + clamp_size[2] / 2
+
+                if pt[2] < clamp_z_top + self.safety_margin:
+                    dx = abs(pt[0] - clamp_center[0])
+                    dy = abs(pt[1] - clamp_center[1])
+
+                    if (dx < clamp_size[0] / 2 + tool_radius + self.safety_margin and
+                        dy < clamp_size[1] / 2 + tool_radius + self.safety_margin):
+                        collisions.append({
+                            "type": "clamp_collision",
+                            "point_index": i,
+                            "clamp_index": j,
+                            "severity": "high",
+                            "message": f"点{i}: 可能与压板{j}碰撞"
+                        })
+
+        return collisions
+
+    def _calculate_safe_retract_points(self, points: List[List[float]],
+                                        stock_bbox: Dict) -> List[Dict]:
+        """计算安全抬刀点"""
+        retract_points = []
+        stock_zmax = stock_bbox.get("max", [0, 0, 0])[2]
+        safe_z = stock_zmax + self.retract_height
+
+        for i in range(0, len(points), max(1, len(points) // 10)):
+            pt = points[i]
+            if len(pt) >= 3:
+                retract_points.append({
+                    "index": i,
+                    "from": pt,
+                    "retract_to": [pt[0], pt[1], safe_z],
+                    "safe_z": safe_z,
+                })
+
+        return retract_points
+
+    def _generate_safety_recommendations(self, issues: List[Dict]) -> List[str]:
+        """生成安全建议"""
+        recs = []
+
+        holder_issues = [i for i in issues if i["type"] == "holder_collision"]
+        if holder_issues:
+            recs.append(f"发现 {len(holder_issues)} 处刀柄干涉，建议加长刀具或减少切深")
+
+        rapid_issues = [i for i in issues if i["type"] == "rapid_collision"]
+        if rapid_issues:
+            recs.append(f"发现 {len(rapid_issues)} 处快速移动碰撞风险，建议增加抬刀高度")
+
+        limit_issues = [i for i in issues if i["type"] == "machine_limit"]
+        if limit_issues:
+            recs.append(f"发现 {len(limit_issues)} 处超出机床行程，需调整工件位置")
+
+        clamp_issues = [i for i in issues if i["type"] == "clamp_collision"]
+        if clamp_issues:
+            recs.append(f"发现 {len(clamp_issues)} 处压板碰撞，建议调整压板位置")
+
+        if not issues:
+            recs.append("刀路安全检查通过，无碰撞风险")
+
+        return recs
+
+
+class ToolpathOptimizer:
+    """刀路优化器"""
+
+    def optimize_toolpath(self, toolpath_points: List[List[float]],
+                           cutting_params: Dict,
+                           stock_bbox: Optional[Dict] = None) -> Dict[str, Any]:
+        """
+        综合优化刀路
+
+        优化内容：
+        1. 进给率自适应优化
+        2. 拐角减速处理
+        3. 空走刀路径优化
+        4. 切入切出优化
+
+        Args:
+            toolpath_points: 原始刀路点
+            cutting_params: 切削参数
+            stock_bbox: 毛坯边界框
+
+        Returns:
+            优化后的刀路和参数
+        """
+        feed_optimized = self._optimize_feed_rates(toolpath_points, cutting_params)
+
+        corner_optimized = self._optimize_corner_speeds(toolpath_points, feed_optimized)
+
+        entry_exit_optimized = self._optimize_entry_exit(toolpath_points, stock_bbox)
+
+        stats = self._calculate_optimization_stats(
+            toolpath_points, feed_optimized, corner_optimized
+        )
+
+        return {
+            "original_point_count": len(toolpath_points),
+            "optimized_feeds": feed_optimized,
+            "corner_slowdowns": corner_optimized,
+            "entry_exit": entry_exit_optimized,
+            "stats": stats,
+            "recommendations": self._generate_optimization_recommendations(stats),
+        }
+
+    def _optimize_feed_rates(self, points: List[List[float]],
+                              params: Dict) -> List[Dict]:
+        """进给率自适应优化"""
+        base_feed = params.get("feed_rate_mm_min", 500)
+        optimized = []
+
+        for i in range(len(points)):
+            if i < 2 or i >= len(points) - 2:
+                feed = base_feed * 0.8
+            else:
+                v1 = np.array(points[i]) - np.array(points[i - 1])
+                v2 = np.array(points[i + 1]) - np.array(points[i])
+
+                len1 = np.linalg.norm(v1)
+                len2 = np.linalg.norm(v2)
+
+                if len1 > 0.001 and len2 > 0.001:
+                    cos_angle = np.clip(np.dot(v1, v2) / (len1 * len2), -1, 1)
+                    angle = math.degrees(math.acos(cos_angle))
+
+                    if angle < 30:
+                        feed = base_feed * 0.3
+                    elif angle < 60:
+                        feed = base_feed * 0.5
+                    elif angle < 120:
+                        feed = base_feed * 0.7
+                    else:
+                        feed = base_feed
+                else:
+                    feed = base_feed
+
+            optimized.append({
+                "index": i,
+                "feed_rate": round(feed, 1),
+                "feed_ratio": round(feed / base_feed, 2),
+            })
+
+        return optimized
+
+    def _optimize_corner_speeds(self, points: List[List[float]],
+                                 feed_data: List[Dict]) -> List[Dict]:
+        """拐角减速处理"""
+        slowdowns = []
+        base_feed = 500
+
+        for i in range(1, len(points) - 1):
+            if i >= len(feed_data):
+                break
+
+            v1 = np.array(points[i]) - np.array(points[i - 1])
+            v2 = np.array(points[i + 1]) - np.array(points[i])
+
+            len1 = np.linalg.norm(v1)
+            len2 = np.linalg.norm(v2)
+
+            if len1 > 0.001 and len2 > 0.001:
+                cos_angle = np.clip(np.dot(v1, v2) / (len1 * len2), -1, 1)
+                angle = math.degrees(math.acos(cos_angle))
+
+                if angle < 90:
+                    decel_distance = max(2.0, 10.0 * (1 - angle / 90))
+                    slowdowns.append({
+                        "index": i,
+                        "angle": round(angle, 1),
+                        "decel_distance": round(decel_distance, 2),
+                        "min_feed_ratio": 0.3 if angle < 45 else 0.5,
+                    })
+
+        return slowdowns
+
+    def _optimize_entry_exit(self, points: List[List[float]],
+                              stock_bbox: Optional[Dict]) -> Dict[str, Any]:
+        """切入切出优化"""
+        entry = {"type": "arc_tangent", "radius": 5.0, "angle": 90}
+        exit_ = {"type": "arc_tangent", "radius": 5.0, "angle": 90}
+
+        if stock_bbox:
+            z_max = stock_bbox.get("max", [0, 0, 0])[2]
+            entry["approach_z"] = z_max + 10
+            exit_["retract_z"] = z_max + 50
+
+        return {"entry": entry, "exit": exit_}
+
+    def _calculate_optimization_stats(self, points: List, feeds: List,
+                                       corners: List) -> Dict:
+        """计算优化统计"""
+        if not feeds:
+            return {"time_reduction_percent": 0}
+
+        feed_values = [f["feed_rate"] for f in feeds]
+        avg_feed = sum(feed_values) / len(feed_values) if feed_values else 500
+        base_feed = max(feed_values) if feed_values else 500
+
+        time_reduction = 0
+        if base_feed > 0:
+            time_reduction = (1 - avg_feed / base_feed) * 100
+
+        return {
+            "avg_feed_rate": round(avg_feed, 1),
+            "base_feed_rate": base_feed,
+            "corner_slowdown_count": len(corners),
+            "time_reduction_percent": round(abs(time_reduction), 1),
+        }
+
+    def _generate_optimization_recommendations(self, stats: Dict) -> List[str]:
+        """生成优化建议"""
+        recs = []
+
+        if stats.get("corner_slowdown_count", 0) > 10:
+            recs.append("拐角减速点较多，建议优化刀路方向减少急转弯")
+
+        if stats.get("time_reduction_percent", 0) > 30:
+            recs.append("进给率降低幅度较大，建议优化加工策略")
+
+        if not recs:
+            recs.append("刀路优化完成，进给率分布合理")
+
+        return recs
+
+
+class EDMElectrodeDesigner:
+    """EDM电极设计器"""
+
+    ELECTRODE_MATERIALS = {
+        "copper": {
+            "density": 8.96, "wear_rate": 1.0,
+            "machinability": "good", "cost": "medium"
+        },
+        "graphite": {
+            "density": 1.75, "wear_rate": 0.5,
+            "machinability": "excellent", "cost": "low"
+        },
+        "copper_tungsten": {
+            "density": 14.0, "wear_rate": 0.3,
+            "machinability": "poor", "cost": "high"
+        },
+    }
+
+    def design_electrodes(self, undercut_regions: List[Dict],
+                           cavity_bbox: Dict,
+                           material: str = "copper",
+                           spark_gap: float = 0.05,
+                           overburn: float = 0.1) -> Dict[str, Any]:
+        """
+        设计EDM电极
+
+        Args:
+            undercut_regions: 倒扣区域列表
+            cavity_bbox: 型腔边界框
+            material: 电极材料
+            spark_gap: 放电间隙 mm
+            overburn: 过切量 mm
+
+        Returns:
+            电极设计方案
+        """
+        mat_props = self.ELECTRODE_MATERIALS.get(material, self.ELECTRODE_MATERIALS["copper"])
+
+        electrodes = []
+        for i, region in enumerate(undercut_regions):
+            electrode = self._design_single_electrode(
+                region, i + 1, material, spark_gap, overburn, cavity_bbox
+            )
+            electrodes.append(electrode)
+
+        total_volume = sum(e["volume_mm3"] for e in electrodes)
+        total_weight = total_volume * mat_props["density"] / 1000
+
+        return {
+            "electrodes": electrodes,
+            "material": material,
+            "material_properties": mat_props,
+            "spark_gap": spark_gap,
+            "overburn": overburn,
+            "total_electrode_count": len(electrodes),
+            "total_volume_cm3": round(total_volume / 1000, 2),
+            "total_weight_g": round(total_weight, 2),
+            "machining_strategy": self._generate_electrode_machining_strategy(
+                electrodes, material
+            ),
+            "recommendations": self._generate_electrode_recommendations(
+                electrodes, material
+            ),
+        }
+
+    def _design_single_electrode(self, region: Dict, index: int,
+                                   material: str, spark_gap: float,
+                                   overburn: float, cavity_bbox: Dict) -> Dict:
+        """设计单个电极"""
+        center = region.get("center", [0, 0, 0])
+        area = region.get("area", 100)
+
+        feature_size = math.sqrt(area)
+
+        electrode_size = {
+            "width": round(feature_size * 1.3 + 2 * (spark_gap + overburn), 2),
+            "length": round(feature_size * 1.3 + 2 * (spark_gap + overburn), 2),
+            "height": round(cavity_bbox.get("dimensions", [0, 0, 50])[2] * 0.8 + 20, 2),
+        }
+
+        volume = electrode_size["width"] * electrode_size["length"] * electrode_size["height"]
+
+        return {
+            "index": index,
+            "type": region.get("type", "undercut"),
+            "location": center,
+            "size": electrode_size,
+            "volume_mm3": round(volume, 1),
+            "spark_gap": spark_gap,
+            "overburn": overburn,
+            "material": material,
+            "roughing_passes": 3,
+            "finishing_passes": 2,
+        }
+
+    def _generate_electrode_machining_strategy(self, electrodes: List,
+                                                 material: str) -> List[Dict]:
+        """生成电极加工策略"""
+        strategies = []
+
+        for elec in electrodes:
+            size = elec["size"]
+            is_small = min(size["width"], size["length"]) < 5
+
+            strategy = {
+                "electrode_index": elec["index"],
+                "operations": [
+                    {
+                        "operation": "roughing",
+                        "tool": "endmill_6mm" if not is_small else "endmill_3mm",
+                        "stock_allowance": 0.3,
+                    },
+                    {
+                        "operation": "finishing",
+                        "tool": "ballnose_3mm" if not is_small else "ballnose_1mm",
+                        "stepover": 0.2,
+                    },
+                ],
+            }
+            strategies.append(strategy)
+
+        return strategies
+
+    def _generate_electrode_recommendations(self, electrodes: List,
+                                              material: str) -> List[str]:
+        """生成电极建议"""
+        recs = []
+
+        if material == "copper":
+            recs.append("铜电极加工性良好，建议使用高速钢刀具")
+        elif material == "graphite":
+            recs.append("石墨电极易加工但易碎，注意切削力控制")
+        elif material == "copper_tungsten":
+            recs.append("铜钨合金硬度高，建议使用金刚石刀具")
+
+        if len(electrodes) > 4:
+            recs.append("电极数量较多，建议评估是否可合并电极设计")
+
+        recs.append("电极加工后需检测尺寸精度和表面质量")
+        recs.append("放电加工时需根据材料调整电参数")
+
+        return recs
+
+
+class MachiningSimulator:
+    """加工仿真器"""
+
+    def simulate_machining(self, operations: List[Dict],
+                            stock_bbox: Dict,
+                            resolution: float = 1.0) -> Dict[str, Any]:
+        """
+        模拟加工过程
+
+        Args:
+            operations: 加工操作列表
+            stock_bbox: 毛坯边界框
+            resolution: 仿真精度 mm
+
+        Returns:
+            仿真结果
+        """
+        stock_dims = stock_bbox.get("dimensions", [100, 100, 50])
+
+        nx = max(2, int(stock_dims[0] / resolution))
+        ny = max(2, int(stock_dims[1] / resolution))
+        nz = max(2, int(stock_dims[2] / resolution))
+
+        stock = np.ones((nx, ny, nz), dtype=np.float32)
+
+        total_removed = 0
+        operation_results = []
+
+        for op in operations:
+            removed = self._simulate_operation(stock, op, stock_bbox, resolution)
+            total_removed += removed
+
+            operation_results.append({
+                "strategy": op.get("strategy", "unknown"),
+                "volume_removed_mm3": removed,
+                "remaining_stock_percent": round(
+                    (1 - total_removed / (nx * ny * nz)) * 100, 1
+                ),
+            })
+
+        total_voxels = nx * ny * nz
+        remaining = np.sum(stock > 0)
+        removal_efficiency = (1 - remaining / total_voxels) * 100 if total_voxels > 0 else 0
+
+        gouging = self._detect_gouging(stock, operations, stock_bbox, resolution)
+
+        residual = self._analyze_residual_material(stock, stock_bbox, resolution)
+
+        return {
+            "resolution": resolution,
+            "grid_size": {"nx": nx, "ny": ny, "nz": nz},
+            "operations": operation_results,
+            "total_volume_removed_percent": round(removal_efficiency, 1),
+            "gouging_detected": gouging,
+            "residual_analysis": residual,
+            "quality_assessment": self._assess_quality(gouging, residual),
+            "recommendations": self._generate_simulation_recommendations(
+                gouging, residual, removal_efficiency
+            ),
+        }
+
+    def _simulate_operation(self, stock: np.ndarray, op: Dict,
+                             bbox: Dict, resolution: float) -> int:
+        """模拟单个加工操作的材料去除"""
+        strategy = op.get("strategy", "")
+        removed = 0
+
+        nx, ny, nz = stock.shape
+
+        if strategy == "z_level_roughing":
+            levels = op.get("levels", [])
+            for level in levels:
+                z_level = level.get("z", 0)
+                z_idx = int((z_level - bbox.get("min", [0, 0, 0])[2]) / resolution)
+                z_idx = max(0, min(z_idx, nz - 1))
+
+                for iz in range(z_idx, nz):
+                    removed += int(np.sum(stock[:, :, iz] > 0))
+                    stock[:, :, iz] = 0
+
+        elif strategy in ("parallel_finishing", "contour_finishing"):
+            stepover = op.get("stepover", 0.3)
+            step_idx = max(1, int(stepover / resolution))
+
+            for ix in range(0, nx, step_idx):
+                for iy in range(0, ny, step_idx):
+                    if stock[ix, iy, :].any():
+                        removed += int(np.sum(stock[ix, iy, :] > 0))
+                        stock[ix, iy, :] = 0
+
+        return removed
+
+    def _detect_gouging(self, stock: np.ndarray, operations: List,
+                         bbox: Dict, resolution: float) -> List[Dict]:
+        """检测过切"""
+        gouging = []
+
+        for op in operations:
+            stock_allowance = op.get("stock_allowance", 0)
+            if stock_allowance < 0:
+                gouging.append({
+                    "operation": op.get("strategy", "unknown"),
+                    "type": "negative_allowance",
+                    "severity": "high",
+                    "message": f"工序 {op.get('strategy')} 余量为负值，存在过切风险"
+                })
+
+        return gouging
+
+    def _analyze_residual_material(self, stock: np.ndarray,
+                                    bbox: Dict, resolution: float) -> Dict:
+        """分析残余材料"""
+        total_voxels = stock.size
+        remaining = int(np.sum(stock > 0))
+        remaining_percent = (remaining / total_voxels) * 100 if total_voxels > 0 else 0
+
+        return {
+            "remaining_voxels": remaining,
+            "remaining_percent": round(remaining_percent, 2),
+            "estimated_residual_volume_cm3": round(
+                remaining * resolution ** 3 / 1000, 2
+            ),
+        }
+
+    def _assess_quality(self, gouging: List, residual: Dict) -> Dict:
+        """评估加工质量"""
+        has_gouging = len(gouging) > 0
+        residual_pct = residual.get("remaining_percent", 100)
+
+        if has_gouging:
+            grade = "FAIL"
+        elif residual_pct < 5:
+            grade = "GOOD"
+        elif residual_pct < 15:
+            grade = "ACCEPTABLE"
+        else:
+            grade = "INSUFFICIENT"
+
+        return {
+            "grade": grade,
+            "has_gouging": has_gouging,
+            "residual_percent": residual_pct,
+        }
+
+    def _generate_simulation_recommendations(self, gouging: List, residual: Dict,
+                                              efficiency: float) -> List[str]:
+        """生成仿真建议"""
+        recs = []
+
+        if gouging:
+            recs.append("检测到过切，需调整加工参数")
+
+        residual_pct = residual.get("remaining_percent", 0)
+        if residual_pct > 20:
+            recs.append("残余材料较多，建议增加精加工工序")
+        elif residual_pct > 5:
+            recs.append("残余材料适中，需检查关键区域是否加工到位")
+
+        if efficiency < 50:
+            recs.append("材料去除率偏低，建议优化粗加工策略")
+
+        if not recs:
+            recs.append("仿真结果良好，加工方案可行")
+
+        return recs

src/core/mold_quality_inspector.py

@@ -4,16 +4,8 @@
 提供分模面质量检测、模具结构合理性评估、生产可行性分析等功能
 """
 
-from typing import Dict, List, Any, Tuple
+from typing import Dict, List, Any
 import numpy as np
-from OCC.Core.BRep import BRep_Tool
-from OCC.Core.BRepMesh import BRepMesh_IncrementalMesh
-from OCC.Core.TopExp import TopExp_Explorer
-from OCC.Core.TopAbs import TopAbs_FACE, TopAbs_EDGE
-from OCC.Core.BRepAdaptor import BRepAdaptor_Surface, BRepAdaptor_Curve
-from OCC.Core.Bnd import Bnd_Box
-from OCC.Core.BRepBndLib import brepbndlib_Add
-from OCC.Core.gp import gp_Dir
 
 from utils.logger import get_logger
 

src/core/mold_system_designer.py

@@ -0,0 +1,588 @@
+"""
+冷却/浇注系统自动设计模块
+
+功能：
+1. 冷却系统设计 - 水路布局、直径、间距
+2. 浇注系统设计 - 主流道、分流道、浇口
+3. 热力学估算 - 冷却时间、温度分布
+4. 排气系统设计 - 排气槽、排气针位置
+
+设计依据：
+- 模具尺寸和产品几何
+- 材料热物性参数
+- 生产节拍要求
+- 行业标准规范
+"""
+
+from typing import Dict, List, Any, Optional
+import math
+from utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+class MaterialThermalDB:
+    """材料热物性数据库"""
+
+    PLASTICS = {
+        "ABS": {"density": 1.05, "specific_heat": 1.47, "thermal_cond": 0.17,
+                "melt_temp": 230, "mold_temp": 60, "eject_temp": 85},
+        "PP": {"density": 0.90, "specific_heat": 1.90, "thermal_cond": 0.15,
+               "melt_temp": 220, "mold_temp": 40, "eject_temp": 80},
+        "PC": {"density": 1.20, "specific_heat": 1.25, "thermal_cond": 0.20,
+               "melt_temp": 300, "mold_temp": 80, "eject_temp": 120},
+        "PE": {"density": 0.95, "specific_heat": 2.30, "thermal_cond": 0.50,
+               "melt_temp": 200, "mold_temp": 30, "eject_temp": 70},
+        "PS": {"density": 1.05, "specific_heat": 1.34, "thermal_cond": 0.12,
+               "melt_temp": 220, "mold_temp": 50, "eject_temp": 80},
+        "PA": {"density": 1.14, "specific_heat": 1.70, "thermal_cond": 0.25,
+               "melt_temp": 260, "mold_temp": 70, "eject_temp": 100},
+        "POM": {"density": 1.42, "specific_heat": 1.47, "thermal_cond": 0.31,
+                "melt_temp": 200, "mold_temp": 70, "eject_temp": 100},
+        "PMMA": {"density": 1.18, "specific_heat": 1.47, "thermal_cond": 0.19,
+                 "melt_temp": 240, "mold_temp": 60, "eject_temp": 90},
+    }
+
+    FOAM = {
+        "AlSi10Mg": {"density": 0.45, "specific_heat": 0.90, "thermal_cond": 0.05,
+                      "melt_temp": 380, "mold_temp": 150, "eject_temp": 200},
+        "AlSi12": {"density": 0.50, "specific_heat": 0.88, "thermal_cond": 0.06,
+                    "melt_temp": 360, "mold_temp": 140, "eject_temp": 190},
+    }
+
+    COOLANT = {
+        "water": {"specific_heat": 4.18, "density": 1.0, "thermal_cond": 0.60},
+        "oil": {"specific_heat": 2.00, "density": 0.85, "thermal_cond": 0.15},
+    }
+
+    @classmethod
+    def get_material(cls, material: str) -> Optional[Dict]:
+        if material in cls.PLASTICS:
+            return cls.PLASTICS[material]
+        if material in cls.FOAM:
+            return cls.FOAM[material]
+        return None
+
+
+class CoolingSystemDesigner:
+    """冷却系统设计器"""
+
+    def design_cooling_system(self, mold_size: Dict, product_bbox: Dict,
+                              material: str = "ABS",
+                              cavity_count: int = 1,
+                              cycle_time_target: Optional[float] = None) -> Dict[str, Any]:
+        """
+        设计冷却系统
+
+        Args:
+            mold_size: {"length": L, "width": W, "height": H}
+            product_bbox: {"dimensions": [dx, dy, dz]}
+            material: 材料名称
+            cavity_count: 型腔数量
+            cycle_time_target: 目标成型周期（秒）
+
+        Returns:
+            冷却系统设计方案
+        """
+        logger.info(f"开始冷却系统设计: 材料={material}, {cavity_count}穴")
+
+        mat_props = MaterialThermalDB.get_material(material)
+        if mat_props is None:
+            mat_props = MaterialThermalDB.PLASTICS["ABS"]
+            logger.warning(f"未知材料 {material}，使用 ABS 默认参数")
+
+        dims = product_bbox.get("dimensions", [100, 100, 50])
+        max_wall = max(dims) * 0.6
+
+        cooling_time = self._estimate_cooling_time(
+            max_wall, mat_props, mold_size.get("height", 100)
+        )
+
+        layout = self._design_channel_layout(mold_size, dims, cavity_count)
+
+        channels = self._generate_channel_positions(layout, mold_size, dims)
+
+        flow_rate = self._calculate_flow_rate(channels, mat_props)
+
+        thermal_check = self._check_thermal_performance(
+            cooling_time, channels, mat_props, mold_size, cycle_time_target
+        )
+
+        return {
+            "cooling_time": round(cooling_time, 1),
+            "channels": channels,
+            "layout": layout,
+            "flow_rate": flow_rate,
+            "thermal_check": thermal_check,
+            "material_properties": mat_props,
+            "recommendations": self._generate_cooling_recommendations(
+                cooling_time, thermal_check, channels, cycle_time_target
+            ),
+        }
+
+    def _estimate_cooling_time(self, max_wall_thickness: float,
+                               mat_props: Dict, mold_height: float) -> float:
+        """估算冷却时间（基于一维热传导简化模型）"""
+        k = mat_props["thermal_cond"]
+        rho = mat_props["density"] * 1000
+        cp = mat_props["specific_heat"] * 1000
+
+        alpha = k / (rho * cp)
+
+        t_melt = mat_props["melt_temp"]
+        t_mold = mat_props["mold_temp"]
+        t_eject = mat_props["eject_temp"]
+
+        if t_melt <= t_eject:
+            return 10.0
+
+        theta = (t_eject - t_mold) / (t_melt - t_mold) if (t_melt - t_mold) != 0 else 0.5
+        theta = max(0.01, min(0.99, abs(theta)))
+
+        L = max_wall_thickness / 1000.0
+
+        cooling_time = (L ** 2 / (alpha * math.pi ** 2)) * math.log(4 / (math.pi * theta))
+
+        return max(5.0, cooling_time)
+
+    def _design_channel_layout(self, mold_size: Dict, dims: List[float],
+                               cavity_count: int) -> Dict:
+        """设计水路布局方案"""
+        length = mold_size.get("length", 300)
+        width = mold_size.get("width", 300)
+
+        channel_diameter = 8.0
+        channel_spacing = 30.0
+        wall_distance = 15.0
+
+        num_channels_length = max(2, int((width - 2 * wall_distance) / channel_spacing))
+        num_channels_width = max(2, int((length - 2 * wall_distance) / channel_spacing))
+
+        if cavity_count <= 4:
+            layout_type = "straight"
+            num_channels = num_channels_length
+        else:
+            layout_type = "spiral"
+            num_channels = max(num_channels_length, num_channels_width)
+
+        return {
+            "type": layout_type,
+            "diameter": channel_diameter,
+            "spacing": channel_spacing,
+            "wall_distance": wall_distance,
+            "num_channels": num_channels,
+            "num_channels_length": num_channels_length,
+            "num_channels_width": num_channels_width,
+        }
+
+    def _generate_channel_positions(self, layout: Dict, mold_size: Dict,
+                                    dims: List[float]) -> List[Dict]:
+        """生成水路位置"""
+        channels = []
+        length = mold_size.get("length", 300)
+        width = mold_size.get("width", 300)
+        wall_dist = layout["wall_distance"]
+        diameter = layout["diameter"]
+
+        if layout["type"] == "straight":
+            num = layout["num_channels_length"]
+            spacing = (width - 2 * wall_dist) / max(num - 1, 1)
+
+            for i in range(num):
+                y = wall_dist + i * spacing - width / 2
+                channels.append({
+                    "id": i + 1,
+                    "type": "straight",
+                    "start": [-length / 2 + wall_dist, y, 0],
+                    "end": [length / 2 - wall_dist, y, 0],
+                    "diameter": diameter,
+                    "side": "A" if i % 2 == 0 else "B",
+                })
+        else:
+            num = layout["num_channels"]
+            for i in range(num):
+                offset = (i - (num - 1) / 2) * layout["spacing"]
+                channels.append({
+                    "id": i + 1,
+                    "type": "spiral",
+                    "center": [0, offset, 0],
+                    "radius": min(length, width) / 2 - wall_dist,
+                    "diameter": diameter,
+                    "side": "A" if i % 2 == 0 else "B",
+                })
+
+        return channels
+
+    def _calculate_flow_rate(self, channels: List[Dict],
+                             mat_props: Dict) -> Dict:
+        """计算冷却液流量"""
+        total_length = 0
+        diameter = 8.0
+
+        for ch in channels:
+            if ch["type"] == "straight":
+                start = ch["start"]
+                end = ch["end"]
+                total_length += math.sqrt(sum((s - e) ** 2 for s, e in zip(start, end)))
+            elif ch["type"] == "spiral":
+                total_length += 2 * math.pi * ch.get("radius", 100)
+
+        velocity = 1.5
+        area = math.pi * (diameter / 2 / 1000) ** 2
+        flow_rate_lpm = velocity * area * 60000
+
+        reynolds = 1000 * velocity * (diameter / 1000) / 0.001
+
+        return {
+            "velocity_m_s": velocity,
+            "flow_rate_lpm": round(flow_rate_lpm, 1),
+            "total_channel_length": round(total_length, 1),
+            "reynolds_number": round(reynolds, 0),
+            "flow_regime": "turbulent" if reynolds > 4000 else "laminar",
+        }
+
+    def _check_thermal_performance(self, cooling_time: float,
+                                    channels: List[Dict],
+                                    mat_props: Dict,
+                                    mold_size: Dict,
+                                    target_cycle: Optional[float]) -> Dict:
+        """检查热力学性能"""
+        num_channels = len(channels)
+        total_heat = mat_props["specific_heat"] * mat_props["density"] * 100
+
+        heat_removal_rate = num_channels * 0.5 * 4.18 * 1.5 * 10
+
+        adequacy = "adequate" if num_channels >= 4 else "insufficient"
+
+        if target_cycle is not None:
+            if cooling_time <= target_cycle * 0.6:
+                adequacy = "excellent"
+            elif cooling_time <= target_cycle * 0.8:
+                adequacy = "adequate"
+            else:
+                adequacy = "insufficient"
+
+        return {
+            "cooling_time": round(cooling_time, 1),
+            "estimated_heat_removal_rate": round(heat_removal_rate, 1),
+            "channel_count": num_channels,
+            "adequacy": adequacy,
+        }
+
+    def _generate_cooling_recommendations(self, cooling_time: float,
+                                          thermal_check: Dict,
+                                          channels: List[Dict],
+                                          target_cycle: Optional[float]) -> List[str]:
+        """生成冷却系统建议"""
+        recs = []
+
+        if thermal_check["adequacy"] == "insufficient":
+            recs.append("冷却能力不足，建议增加水路数量或增大水路直径")
+            recs.append("考虑使用铍铜镶件提高局部冷却效率")
+
+        if cooling_time > 30:
+            recs.append("冷却时间较长，建议优化水路布局使水路更靠近型腔")
+
+        if len(channels) < 4:
+            recs.append("水路数量偏少，建议至少4条水路")
+
+        flow_regime = "turbulent"
+        if flow_regime == "laminar":
+            recs.append("冷却液流速偏低，建议提高流速以达到湍流状态(Re>4000)")
+
+        if not recs:
+            recs.append("冷却系统设计合理，建议进行热分析验证")
+
+        return recs
+
+
+class GatingSystemDesigner:
+    """浇注系统设计器"""
+
+    def design_gating_system(self, product_bbox: Dict, material: str = "ABS",
+                             cavity_count: int = 1,
+                             gate_type: str = "auto",
+                             layout_positions: Optional[List] = None) -> Dict[str, Any]:
+        """
+        设计浇注系统
+
+        Args:
+            product_bbox: {"dimensions": [dx, dy, dz]}
+            material: 材料名称
+            cavity_count: 型腔数量
+            gate_type: 浇口类型 (auto/side/center/submarine/fan)
+            layout_positions: 型腔位置列表
+
+        Returns:
+            浇注系统设计方案
+        """
+        logger.info(f"开始浇注系统设计: 材料={material}, {cavity_count}穴, 浇口={gate_type}")
+
+        mat_props = MaterialThermalDB.get_material(material)
+        if mat_props is None:
+            mat_props = MaterialThermalDB.PLASTICS["ABS"]
+
+        dims = product_bbox.get("dimensions", [100, 100, 50])
+
+        if gate_type == "auto":
+            gate_type = self._recommend_gate_type(dims, cavity_count)
+
+        sprue = self._design_sprue(dims, mat_props)
+        runner = self._design_runner(dims, cavity_count, layout_positions)
+        gate = self._design_gate(dims, gate_type, cavity_count, mat_props)
+
+        venting = self._design_venting(dims, cavity_count)
+
+        return {
+            "sprue": sprue,
+            "runner": runner,
+            "gate": gate,
+            "gate_type": gate_type,
+            "venting": venting,
+            "material": material,
+            "recommendations": self._generate_gating_recommendations(
+                gate_type, cavity_count, dims, mat_props
+            ),
+        }
+
+    def _recommend_gate_type(self, dims: List[float], cavity_count: int) -> str:
+        """推荐浇口类型"""
+        aspect = max(dims[:2]) / min(dims[:2]) if min(dims[:2]) > 0 else 1
+
+        if cavity_count == 1:
+            if aspect > 2:
+                return "side"
+            return "center"
+        else:
+            return "side"
+
+    def _design_sprue(self, dims: List[float], mat_props: Dict) -> Dict:
+        """设计主流道"""
+        max_dim = max(dims)
+        volume = dims[0] * dims[1] * dims[2]
+
+        if volume > 500000:
+            sprue_d_top = 4.0
+            sprue_d_bottom = 8.0
+        elif volume > 50000:
+            sprue_d_top = 3.0
+            sprue_d_bottom = 6.0
+        else:
+            sprue_d_top = 2.5
+            sprue_d_bottom = 5.0
+
+        sprue_length = max_dim * 0.5 + 20
+
+        taper_angle = math.degrees(
+            math.atan((sprue_d_bottom / 2 - sprue_d_top / 2) / sprue_length)
+        )
+
+        return {
+            "diameter_top": sprue_d_top,
+            "diameter_bottom": sprue_d_bottom,
+            "length": round(sprue_length, 1),
+            "taper_angle": round(taper_angle, 2),
+            "volume": round(
+                math.pi / 3 * sprue_length * (
+                    (sprue_d_top / 2) ** 2 + (sprue_d_top / 2) * (sprue_d_bottom / 2) + (sprue_d_bottom / 2) ** 2
+                ), 1
+            ),
+        }
+
+    def _design_runner(self, dims: List[float], cavity_count: int,
+                       positions: Optional[List]) -> Dict:
+        """设计分流道"""
+        if cavity_count <= 1:
+            return {
+                "type": "none",
+                "diameter": 0,
+                "total_length": 0,
+                "volume": 0,
+            }
+
+        runner_diameter = max(4.0, min(dims[:2]) * 0.04)
+
+        if positions and len(positions) > 1:
+            total_length = 0
+            for pos in positions:
+                total_length += 2 * math.sqrt(pos[0] ** 2 + pos[1] ** 2)
+        else:
+            total_length = cavity_count * max(dims[:2]) * 1.5
+
+        cross_area = math.pi * (runner_diameter / 2) ** 2
+
+        return {
+            "type": "trapezoid",
+            "diameter": round(runner_diameter, 1),
+            "total_length": round(total_length, 1),
+            "volume": round(cross_area * total_length, 1),
+            "cross_section": {
+                "top_width": round(runner_diameter * 1.2, 1),
+                "bottom_width": round(runner_diameter * 0.8, 1),
+                "depth": round(runner_diameter * 0.9, 1),
+            },
+        }
+
+    def _design_gate(self, dims: List[float], gate_type: str,
+                     cavity_count: int, mat_props: Dict) -> Dict:
+        """设计浇口"""
+        min_dim = min(dims[:2])
+        wall_thickness = dims[2] * 0.6
+
+        if gate_type == "center":
+            gate_diameter = max(1.0, wall_thickness * 0.5)
+            return {
+                "type": "center",
+                "diameter": round(gate_diameter, 1),
+                "length": 1.5,
+                "position": "top_center",
+            }
+        elif gate_type == "submarine":
+            gate_diameter = max(0.8, wall_thickness * 0.3)
+            return {
+                "type": "submarine",
+                "diameter": round(gate_diameter, 1),
+                "length": 2.0,
+                "angle": 45,
+                "position": "bottom_side",
+            }
+        elif gate_type == "fan":
+            return {
+                "type": "fan",
+                "width": round(min_dim * 0.3, 1),
+                "depth": round(wall_thickness * 0.5, 1),
+                "length": 1.5,
+                "position": "side",
+            }
+        else:
+            gate_diameter = max(1.0, wall_thickness * 0.4)
+            return {
+                "type": "side",
+                "diameter": round(gate_diameter, 1),
+                "length": 2.0,
+                "position": "side_center",
+            }
+
+    def _design_venting(self, dims: List[float], cavity_count: int) -> Dict:
+        """设计排气系统"""
+        volume = dims[0] * dims[1] * dims[2]
+
+        if volume > 500000:
+            vent_count = max(4, cavity_count * 2)
+            vent_depth = 0.03
+            vent_width = 8.0
+        elif volume > 50000:
+            vent_count = max(2, cavity_count)
+            vent_depth = 0.02
+            vent_width = 5.0
+        else:
+            vent_count = cavity_count
+            vent_depth = 0.015
+            vent_width = 3.0
+
+        return {
+            "type": "vent_slot",
+            "count": vent_count,
+            "depth_mm": vent_depth,
+            "width_mm": vent_width,
+            "length_mm": 10.0,
+            "positions": "parting_line",
+        }
+
+    def _generate_gating_recommendations(self, gate_type: str, cavity_count: int,
+                                         dims: List[float], mat_props: Dict) -> List[str]:
+        """生成浇注系统建议"""
+        recs = []
+
+        if cavity_count > 1:
+            recs.append("多型腔模具建议使用平衡式流道布局")
+
+        if mat_props.get("melt_temp", 0) > 260:
+            recs.append("高熔点材料，建议使用热流道系统减少废料")
+
+        if gate_type == "center":
+            recs.append("中心浇口适用于单型腔，注意浇口痕处理")
+        elif gate_type == "side":
+            recs.append("侧浇口适用于多型腔，需注意流动平衡")
+
+        aspect = max(dims[:2]) / min(dims[:2]) if min(dims[:2]) > 0 else 1
+        if aspect > 3:
+            recs.append("产品长宽比大，建议使用多点进浇或扇形浇口")
+
+        if not recs:
+            recs.append("浇注系统设计合理，建议进行模流分析验证")
+
+        return recs
+
+
+class MoldSystemDesigner:
+    """模具系统综合设计器（冷却+浇注）"""
+
+    def __init__(self):
+        self.cooling_designer = CoolingSystemDesigner()
+        self.gating_designer = GatingSystemDesigner()
+
+    def design_complete_system(self, mold_size: Dict, product_bbox: Dict,
+                               material: str = "ABS",
+                               cavity_count: int = 1,
+                               gate_type: str = "auto",
+                               cycle_time_target: Optional[float] = None,
+                               layout_positions: Optional[List] = None) -> Dict[str, Any]:
+        """
+        综合设计冷却和浇注系统
+
+        Returns:
+            {
+                "cooling": Dict,
+                "gating": Dict,
+                "overall_assessment": Dict,
+                "recommendations": List[str]
+            }
+        """
+        cooling = self.cooling_designer.design_cooling_system(
+            mold_size, product_bbox, material, cavity_count, cycle_time_target
+        )
+
+        gating = self.gating_designer.design_gating_system(
+            product_bbox, material, cavity_count, gate_type, layout_positions
+        )
+
+        cooling_time = cooling["cooling_time"]
+        gating_fill_time = self._estimate_fill_time(product_bbox, material)
+
+        total_cycle = cooling_time + gating_fill_time + 5.0
+
+        assessment = {
+            "estimated_cycle_time": round(total_cycle, 1),
+            "cooling_time": cooling_time,
+            "fill_time": round(gating_fill_time, 1),
+            "ejection_time": 3.0,
+            "buffer_time": 2.0,
+            "meets_target": True if cycle_time_target is None else total_cycle <= cycle_time_target,
+        }
+
+        all_recs = cooling.get("recommendations", []) + gating.get("recommendations", [])
+        if assessment["meets_target"] is False:
+            all_recs.insert(0, f"成型周期({total_cycle:.0f}s)超出目标({cycle_time_target}s)，需优化冷却系统")
+
+        return {
+            "cooling": cooling,
+            "gating": gating,
+            "overall_assessment": assessment,
+            "recommendations": all_recs,
+        }
+
+    def _estimate_fill_time(self, product_bbox: Dict, material: str) -> float:
+        """估算填充时间"""
+        dims = product_bbox.get("dimensions", [100, 100, 50])
+        volume = dims[0] * dims[1] * dims[2]
+
+        mat_props = MaterialThermalDB.get_material(material)
+        if mat_props is None:
+            mat_props = MaterialThermalDB.PLASTICS["ABS"]
+
+        fill_rate = 50.0
+
+        fill_time = volume / fill_rate
+
+        return max(0.5, min(fill_time, 10.0))

src/core/side_action_designer.py

@@ -0,0 +1,533 @@
+"""
+侧壁/倒扣面滑块机构检测与设计模块
+
+功能：
+1. 倒扣区域检测 - 识别无法直接脱模的侧壁凹槽
+2. 滑块机构设计 - 侧向分型抽芯机构
+3. 斜顶机构设计 - 内侧倒扣的斜顶脱模机构
+4. 机构运动学分析 - 抽芯行程、脱模角度计算
+
+倒扣检测原理：
+- 分型方向确定后，检查每个面的法向量
+- 如果面的法向量与脱模方向的点积为负（面朝向脱模反方向）
+  且该面不在分型面上，则判定为倒扣面
+- 根据倒扣面的位置（外侧/内侧）选择滑块或斜顶
+
+滑块 vs 斜顶：
+- 滑块：外侧倒扣，沿导滑槽侧向运动
+- 斜顶：内侧倒扣，沿斜导柱内侧运动
+"""
+
+from typing import Dict, List, Any, Optional, Tuple
+import math
+import numpy as np
+from utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+class UndercutDetector:
+    """倒扣区域检测器"""
+
+    def detect_undercuts(self, shape: Any, parting_direction: List[float],
+                         parting_surface: Any = None) -> Dict[str, Any]:
+        """
+        检测产品中的倒扣区域
+
+        Args:
+            shape: OCC 产品形状
+            parting_direction: 分型方向 [nx, ny, nz]
+            parting_surface: 分型面（可选）
+
+        Returns:
+            {
+                "undercut_faces": List[Dict],
+                "slider_regions": List[Dict],
+                "lifter_regions": List[Dict],
+                "total_undercut_area": float,
+                "requires_slider": bool,
+                "requires_lifter": bool,
+                "complexity": str
+            }
+        """
+        try:
+            from OCC.Core.TopExp import TopExp_Explorer
+            from OCC.Core.TopAbs import TopAbs_FACE
+            from OCC.Core.TopoDS import TopoDS_Face
+            from OCC.Core.BRepAdaptor import BRepAdaptor_Surface
+            from OCC.Core.GProp import GProp_GProps
+            from OCC.Core.BRepGProp import brepgprop
+            from OCC.Core.Bnd import Bnd_Box
+            from OCC.Core.BRepBndLib import brepbndlib_Add
+            from OCC.Core.gp import gp_Dir
+
+            dir_vec = np.array(parting_direction, dtype=np.float64)
+            dir_norm = np.linalg.norm(dir_vec)
+            if dir_norm < 1e-6:
+                dir_vec = np.array([0, 0, 1])
+            else:
+                dir_vec /= dir_norm
+
+            parting_dir = gp_Dir(dir_vec[0], dir_vec[1], dir_vec[2])
+
+            undercut_faces = []
+            slider_regions = []
+            lifter_regions = []
+            total_undercut_area = 0.0
+
+            parting_z = 0.0
+            if parting_surface is not None:
+                try:
+                    surface = BRepAdaptor_Surface(parting_surface)
+                    if surface.GetType() == 0:
+                        parting_z = surface.Plane().Location().Z()
+                except Exception:
+                    pass
+
+            explorer = TopExp_Explorer(shape, TopAbs_FACE)
+            face_idx = 0
+
+            while explorer.More():
+                face = TopoDS_Face(explorer.Current())
+                face_idx += 1
+
+                try:
+                    surface = BRepAdaptor_Surface(face)
+                    u = (surface.FirstUParameter() + surface.LastUParameter()) / 2
+                    v = (surface.FirstVParameter() + surface.LastVParameter()) / 2
+
+                    face_normal = None
+                    if surface.GetType() == 0:
+                        face_normal = surface.Plane().Position().Direction()
+                    else:
+                        from OCC.Core.BRepLProp import BRepLProp_SLProps
+                        props = BRepLProp_SLProps(surface, 1, 0.001)
+                        props.SetParameters(u, v)
+                        if props.IsNormalDefined():
+                            face_normal = props.Normal()
+
+                    if face_normal is None:
+                        explorer.Next()
+                        continue
+
+                    dot = face_normal.Dot(parting_dir)
+
+                    face_props = GProp_GProps()
+                    brepgprop.SurfaceProperties(face, face_props)
+                    area = face_props.Mass()
+                    center = face_props.CentreOfMass()
+
+                    bbox = Bnd_Box()
+                    brepbndlib_Add(face, bbox)
+                    try:
+                        fxmin, fymin, fzmin, fxmax, fymax, fzmax = bbox.Get()
+                    except Exception:
+                        fxmin, fymin, fzmin, fxmax, fymax, fzmax = 0, 0, 0, 0, 0, 0
+
+                    if dot < -0.1:
+                        face_center_z = center.Z()
+                        is_outer = face_center_z >= parting_z
+
+                        undercut_info = {
+                            "face_index": face_idx,
+                            "normal": [face_normal.X(), face_normal.Y(), face_normal.Z()],
+                            "dot_product": float(dot),
+                            "area": float(area),
+                            "center": [float(center.X()), float(center.Y()), float(center.Z())],
+                            "bbox": {
+                                "min": [float(fxmin), float(fymin), float(fzmin)],
+                                "max": [float(fxmax), float(fymax), float(fzmax)]
+                            },
+                            "severity": "high" if dot < -0.5 else "medium",
+                            "is_outer": is_outer,
+                        }
+                        undercut_faces.append(undercut_info)
+                        total_undercut_area += area
+
+                except Exception:
+                    pass
+
+                explorer.Next()
+
+            for uf in undercut_faces:
+                normal = np.array(uf["normal"])
+                lateral_component = normal - np.dot(normal, dir_vec) * dir_vec
+                lateral_norm = np.linalg.norm(lateral_component)
+
+                if lateral_norm > 0.01:
+                    slide_direction = lateral_component / lateral_norm
+                else:
+                    slide_direction = np.array([1, 0, 0])
+
+                mechanism = {
+                    "face_indices": [uf["face_index"]],
+                    "slide_direction": slide_direction.tolist(),
+                    "area": uf["area"],
+                    "center": uf["center"],
+                    "severity": uf["severity"],
+                }
+
+                if uf["is_outer"]:
+                    slider_regions.append(mechanism)
+                else:
+                    lifter_regions.append(mechanism)
+
+            requires_slider = len(slider_regions) > 0
+            requires_lifter = len(lifter_regions) > 0
+
+            total_count = len(slider_regions) + len(lifter_regions)
+            if total_count == 0:
+                complexity = "simple"
+            elif total_count <= 2:
+                complexity = "moderate"
+            elif total_count <= 4:
+                complexity = "complex"
+            else:
+                complexity = "very_complex"
+
+            result = {
+                "undercut_faces": undercut_faces,
+                "slider_regions": slider_regions,
+                "lifter_regions": lifter_regions,
+                "total_undercut_area": total_undercut_area,
+                "requires_slider": requires_slider,
+                "requires_lifter": requires_lifter,
+                "complexity": complexity,
+                "parting_direction": parting_direction,
+            }
+
+            logger.info(f"倒扣检测完成: {len(undercut_faces)} 个倒扣面, "
+                       f"{len(slider_regions)} 个滑块, {len(lifter_regions)} 个斜顶, "
+                       f"复杂度={complexity}")
+
+            return result
+
+        except Exception as e:
+            logger.error(f"倒扣检测失败: {e}")
+            return {
+                "undercut_faces": [],
+                "slider_regions": [],
+                "lifter_regions": [],
+                "total_undercut_area": 0,
+                "requires_slider": False,
+                "requires_lifter": False,
+                "complexity": "unknown",
+                "parting_direction": parting_direction,
+            }
+
+
+class SliderMechanismDesigner:
+    """滑块机构设计器"""
+
+    def design_slider(self, slider_region: Dict, mold_size: Dict,
+                      parting_direction: List[float]) -> Dict[str, Any]:
+        """
+        设计滑块机构
+
+        Args:
+            slider_region: 倒扣区域信息
+            mold_size: 模具尺寸
+            parting_direction: 分型方向
+
+        Returns:
+            滑块机构设计方案
+        """
+        center = slider_region["center"]
+        area = slider_region["area"]
+        slide_dir = slider_region["slide_direction"]
+
+        slide_stroke = self._calculate_slide_stroke(slider_region, mold_size)
+
+        slide_angle = self._calculate_slide_angle(slide_dir, parting_direction)
+
+        slide_block_size = self._calculate_slide_block_size(area, slide_stroke)
+
+        guide_type = self._select_guide_type(slide_stroke, slide_angle)
+
+        return {
+            "type": "slider",
+            "location": center,
+            "slide_direction": slide_dir,
+            "slide_stroke": slide_stroke,
+            "slide_angle": slide_angle,
+            "block_size": slide_block_size,
+            "guide_type": guide_type,
+            "locking_mechanism": self._select_locking(slide_angle),
+            "actuation": "hydraulic" if slide_stroke > 50 else "mechanical",
+            "components": self._generate_components(slide_block_size, guide_type),
+            "manufacturing_notes": self._generate_slider_notes(slide_angle, slide_stroke),
+        }
+
+    def _calculate_slide_stroke(self, region: Dict, mold_size: Dict) -> float:
+        """计算抽芯行程"""
+        bbox = region.get("bbox", {})
+        if "max" in bbox and "min" in bbox:
+            max_dim = max(
+                abs(bbox["max"][0] - bbox["min"][0]),
+                abs(bbox["max"][1] - bbox["min"][1]),
+                abs(bbox["max"][2] - bbox["min"][2])
+            )
+        else:
+            max_dim = 10.0
+
+        stroke = max_dim + 5.0
+        return round(max(stroke, 10.0), 1)
+
+    def _calculate_slide_angle(self, slide_dir: List[float],
+                                parting_dir: List[float]) -> float:
+        """计算滑块倾斜角度"""
+        s = np.array(slide_dir)
+        p = np.array(parting_dir)
+
+        s_norm = np.linalg.norm(s)
+        p_norm = np.linalg.norm(p)
+
+        if s_norm < 1e-6 or p_norm < 1e-6:
+            return 90.0
+
+        cos_angle = np.clip(np.dot(s, p) / (s_norm * p_norm), -1, 1)
+        angle = math.degrees(math.acos(abs(cos_angle)))
+        return round(angle, 1)
+
+    def _calculate_slide_block_size(self, area: float, stroke: float) -> Dict[str, float]:
+        """计算滑块尺寸"""
+        width = max(math.sqrt(area) * 1.5, 15.0)
+        height = max(math.sqrt(area) * 1.2, 12.0)
+        length = stroke + width * 0.5
+
+        return {
+            "width": round(width, 1),
+            "height": round(height, 1),
+            "length": round(length, 1),
+        }
+
+    def _select_guide_type(self, stroke: float, angle: float) -> str:
+        """选择导滑方式"""
+        if stroke > 80:
+            return "T_slot_guide"
+        elif angle > 20:
+            return "angled_guide_pin"
+        else:
+            return "dovetail_guide"
+
+    def _select_locking(self, angle: float) -> str:
+        """选择锁紧方式"""
+        if angle > 25:
+            return "wedge_block"
+        else:
+            return "lock_block"
+
+    def _generate_components(self, block_size: Dict, guide_type: str) -> List[Dict]:
+        """生成滑块组件清单"""
+        components = [
+            {"name": "slide_block", "material": "P20", "hardness": "HRC 28-32"},
+            {"name": "guide_strip", "material": "bronze", "hardness": "HB 80-100"},
+            {"name": "wear_plate", "material": "T8", "hardness": "HRC 45-50"},
+            {"name": "return_spring", "material": "spring_steel", "spec": "standard"},
+        ]
+
+        if guide_type == "T_slot_guide":
+            components.append({"name": "T_slot_insert", "material": "P20", "hardness": "HRC 28-32"})
+        elif guide_type == "angled_guide_pin":
+            components.append({"name": "guide_pin", "material": "SUJ2", "hardness": "HRC 58-62"})
+        elif guide_type == "dovetail_guide":
+            components.append({"name": "dovetail_block", "material": "P20", "hardness": "HRC 28-32"})
+
+        return components
+
+    def _generate_slider_notes(self, angle: float, stroke: float) -> List[str]:
+        """生成滑块加工注意事项"""
+        notes = []
+        if angle > 25:
+            notes.append("滑块角度较大，需确保锁紧可靠")
+        if stroke > 50:
+            notes.append("抽芯行程较长，建议使用液压抽芯")
+        if stroke > 80:
+            notes.append("大行程抽芯，需校核导滑槽强度")
+        notes.append("滑块需设置限位装置，防止脱出")
+        notes.append("配合面需做耐磨处理")
+        return notes
+
+
+class LifterMechanismDesigner:
+    """斜顶机构设计器"""
+
+    def design_lifter(self, lifter_region: Dict, mold_size: Dict,
+                      parting_direction: List[float]) -> Dict[str, Any]:
+        """
+        设计斜顶机构
+
+        Args:
+            lifter_region: 内侧倒扣区域信息
+            mold_size: 模具尺寸
+            parting_direction: 分型方向
+
+        Returns:
+            斜顶机构设计方案
+        """
+        center = lifter_region["center"]
+        area = lifter_region["area"]
+
+        lifter_angle = self._calculate_lifter_angle(lifter_region)
+
+        lifter_stroke = self._calculate_lifter_stroke(lifter_region)
+
+        lifter_size = self._calculate_lifter_size(area, lifter_stroke, lifter_angle)
+
+        return {
+            "type": "lifter",
+            "location": center,
+            "lifter_angle": lifter_angle,
+            "lifter_stroke": lifter_stroke,
+            "block_size": lifter_size,
+            "guide_type": "angled_hole",
+            "return_mechanism": "spring_return",
+            "components": self._generate_lifter_components(lifter_size),
+            "manufacturing_notes": self._generate_lifter_notes(lifter_angle),
+        }
+
+    def _calculate_lifter_angle(self, region: Dict) -> float:
+        """计算斜顶角度（通常5-15度）"""
+        return 8.0
+
+    def _calculate_lifter_stroke(self, region: Dict) -> float:
+        """计算斜顶行程"""
+        bbox = region.get("bbox", {})
+        if "max" in bbox and "min" in bbox:
+            max_dim = max(
+                abs(bbox["max"][i] - bbox["min"][i]) for i in range(3)
+            )
+        else:
+            max_dim = 5.0
+
+        return round(max(max_dim + 3.0, 8.0), 1)
+
+    def _calculate_lifter_size(self, area: float, stroke: float,
+                                angle: float) -> Dict[str, float]:
+        """计算斜顶尺寸"""
+        width = max(math.sqrt(area) * 1.2, 10.0)
+        height = stroke / math.sin(math.radians(angle)) if angle > 0 else stroke * 3
+        thickness = max(width * 0.6, 8.0)
+
+        return {
+            "width": round(width, 1),
+            "height": round(height, 1),
+            "thickness": round(thickness, 1),
+        }
+
+    def _generate_lifter_components(self, size: Dict) -> List[Dict]:
+        """生成斜顶组件清单"""
+        return [
+            {"name": "lifter_body", "material": "P20", "hardness": "HRC 28-32"},
+            {"name": "guide_pin", "material": "SUJ2", "hardness": "HRC 58-62"},
+            {"name": "return_spring", "material": "spring_steel", "spec": "standard"},
+            {"name": "wear_bushing", "material": "bronze", "hardness": "HB 80-100"},
+        ]
+
+    def _generate_lifter_notes(self, angle: float) -> List[str]:
+        """生成斜顶加工注意事项"""
+        notes = []
+        if angle > 12:
+            notes.append("斜顶角度偏大，需校核脱模力")
+        notes.append("斜顶导滑孔需精确加工")
+        notes.append("斜顶头部需做耐磨处理")
+        notes.append("需设置限位防止斜顶脱出")
+        return notes
+
+
+class SideActionDesigner:
+    """侧向分型机构综合设计器"""
+
+    def __init__(self):
+        self.undercut_detector = UndercutDetector()
+        self.slider_designer = SliderMechanismDesigner()
+        self.lifter_designer = LifterMechanismDesigner()
+
+    def analyze_and_design(self, shape: Any, parting_direction: List[float],
+                           mold_size: Dict, parting_surface: Any = None) -> Dict[str, Any]:
+        """
+        综合分析倒扣并设计侧向分型机构
+
+        Returns:
+            {
+                "undercut_analysis": Dict,
+                "slider_mechanisms": List[Dict],
+                "lifter_mechanisms": List[Dict],
+                "summary": Dict,
+                "recommendations": List[str]
+            }
+        """
+        logger.info("开始侧向分型机构分析...")
+
+        undercut_result = self.undercut_detector.detect_undercuts(
+            shape, parting_direction, parting_surface
+        )
+
+        slider_mechanisms = []
+        for region in undercut_result["slider_regions"]:
+            slider = self.slider_designer.design_slider(
+                region, mold_size, parting_direction
+            )
+            slider_mechanisms.append(slider)
+
+        lifter_mechanisms = []
+        for region in undercut_result["lifter_regions"]:
+            lifter = self.lifter_designer.design_lifter(
+                region, mold_size, parting_direction
+            )
+            lifter_mechanisms.append(lifter)
+
+        total_mechanisms = len(slider_mechanisms) + len(lifter_mechanisms)
+
+        summary = {
+            "total_undercut_faces": len(undercut_result["undercut_faces"]),
+            "total_slider_count": len(slider_mechanisms),
+            "total_lifter_count": len(lifter_mechanisms),
+            "total_mechanism_count": total_mechanisms,
+            "complexity": undercut_result["complexity"],
+            "has_hydraulic": any(s.get("actuation") == "hydraulic" for s in slider_mechanisms),
+        }
+
+        recommendations = self._generate_overall_recommendations(summary, undercut_result)
+
+        result = {
+            "undercut_analysis": undercut_result,
+            "slider_mechanisms": slider_mechanisms,
+            "lifter_mechanisms": lifter_mechanisms,
+            "summary": summary,
+            "recommendations": recommendations,
+        }
+
+        logger.info(f"侧向分型机构设计完成: {len(slider_mechanisms)} 个滑块, "
+                    f"{len(lifter_mechanisms)} 个斜顶")
+
+        return result
+
+    def _generate_overall_recommendations(self, summary: Dict,
+                                           undercut: Dict) -> List[str]:
+        """生成总体建议"""
+        recs = []
+
+        if summary["total_mechanism_count"] == 0:
+            recs.append("无倒扣区域，模具结构简单，无需侧向分型机构")
+            return recs
+
+        if summary["total_slider_count"] > 0:
+            recs.append(f"需要 {summary['total_slider_count']} 个滑块机构处理外侧倒扣")
+
+        if summary["total_lifter_count"] > 0:
+            recs.append(f"需要 {summary['total_lifter_count']} 个斜顶机构处理内侧倒扣")
+
+        if summary["has_hydraulic"]:
+            recs.append("大行程抽芯需使用液压系统，需配置液压站")
+
+        if summary["complexity"] == "very_complex":
+            recs.append("侧向分型机构复杂，建议评估是否可通过产品修改简化")
+            recs.append("考虑使用二次分型或旋转脱模替代方案")
+
+        if summary["total_mechanism_count"] > 3:
+            recs.append("侧向机构较多，建议优化模具结构减少机构数量")
+
+        recs.append("所有侧向机构需做运动仿真验证干涉")
+
+        return recs

src/models/database.py

@@ -1,5 +1,5 @@
 # models/database.py
-from sqlalchemy import Column, Integer, String, Text, DateTime, Date, JSON, LargeBinary, Boolean, Float, ForeignKey, UniqueConstraint
+from sqlalchemy import Column, Integer, String, Text, DateTime, Date, JSON, LargeBinary, Boolean, Float, ForeignKey, UniqueConstraint, Numeric
 from sqlalchemy.ext.declarative import declarative_base
 from sqlalchemy.sql import func
 from sqlalchemy.orm import relationship
@@ -10,6 +10,7 @@ Base = declarative_base()
 class User(Base):
     """用户表"""
     __tablename__ = "users"
+    __excluded_fields__ = {'hashed_password'}
     
     id = Column(Integer, primary_key=True, index=True)
     username = Column(String(50), unique=True, index=True, nullable=False)
@@ -39,7 +40,11 @@ class User(Base):
                 if perm.code == permission_code:
                     return True
         return False
-    
+
+    def safe_dict(self):
+        return {k: v for k, v in self.__dict__.items()
+                if not k.startswith('_') and k not in self.__excluded_fields__}
+
     def __repr__(self):
         return f"<User(id={self.id}, username='{self.username}')>"
 
@@ -357,7 +362,7 @@ class FeatureDetection(Base):
     stp_file_id = Column(Integer, ForeignKey("stp_files.id"), nullable=False, index=True)
     
     # 特征信息
-    feature_type = Column(String(50), nullable=False, index=True)  # thin_wall, thick_wall, rib, boss, draft_angle
+    feature_type = Column(String(50), nullable=False, index=True)  # thin_wall, thick_wall, wall_non_uniform, rib, boss, draft_angle, high_curvature, fillet
     confidence = Column(Float, nullable=False)  # 0.0 - 1.0
     
     # 位置和尺寸
@@ -481,8 +486,8 @@ class Product(Base):
     category = Column(String(100), nullable=True)
     unit = Column(String(20), default="件")
     item_type = Column(String(20), default="finished", index=True)
-    cost_price = Column(Float, default=0)
-    sale_price = Column(Float, default=0)
+    cost_price = Column(Numeric(12, 2), default=0)
+    sale_price = Column(Numeric(12, 2), default=0)
     min_stock = Column(Integer, default=0)
     max_stock = Column(Integer, default=1000)
     is_active = Column(Boolean, default=True)
@@ -516,8 +521,8 @@ class ProductMaterial(Base):
     id = Column(Integer, primary_key=True, index=True)
     finished_product_id = Column(Integer, ForeignKey("products.id"), nullable=False, index=True)
     material_product_id = Column(Integer, ForeignKey("products.id"), nullable=False, index=True)
-    quantity = Column(Float, nullable=False)
-    loss_rate = Column(Float, default=0)
+    quantity = Column(Numeric(12, 4), nullable=False)
+    loss_rate = Column(Numeric(5, 4), default=0)
     created_at = Column(DateTime, default=func.now())
     updated_at = Column(DateTime, default=func.now(), onupdate=func.now())
 
@@ -542,7 +547,7 @@ class MaterialPriceHistory(Base):
     
     id = Column(Integer, primary_key=True, index=True)
     product_id = Column(Integer, ForeignKey("products.id"), nullable=False, index=True)
-    price = Column(Float, nullable=False)
+    price = Column(Numeric(12, 2), nullable=False)
     effective_date = Column(DateTime, default=func.now(), index=True)
     supplier_id = Column(Integer, ForeignKey("suppliers.id"), nullable=True, index=True)
     remark = Column(Text, nullable=True)
@@ -615,7 +620,7 @@ class Customer(Base):
     bank_name = Column(String(100), nullable=True)
     bank_account = Column(String(50), nullable=True)
     tax_number = Column(String(50), nullable=True)
-    credit_limit = Column(Float, default=0)
+    credit_limit = Column(Numeric(12, 2), default=0)
     is_active = Column(Boolean, default=True)
     created_at = Column(DateTime, default=func.now())
     updated_at = Column(DateTime, default=func.now(), onupdate=func.now())
@@ -653,8 +658,8 @@ class Inventory(Base):
     id = Column(Integer, primary_key=True, index=True)
     product_id = Column(Integer, ForeignKey("products.id"), nullable=False, index=True)
     warehouse_id = Column(Integer, ForeignKey("warehouses.id"), nullable=False, index=True)
-    quantity = Column(Float, default=0)
-    locked_quantity = Column(Float, default=0)
+    quantity = Column(Numeric(12, 4), default=0)
+    locked_quantity = Column(Numeric(12, 4), default=0)
     batch_number = Column(String(50), nullable=True)
     location = Column(String(100), nullable=True)
     updated_at = Column(DateTime, default=func.now(), onupdate=func.now())
@@ -678,14 +683,14 @@ class StockMovement(Base):
     product_id = Column(Integer, ForeignKey("products.id"), nullable=False, index=True)
     warehouse_id = Column(Integer, ForeignKey("warehouses.id"), nullable=False)
     movement_type = Column(String(20), nullable=False)
-    quantity = Column(Float, nullable=False)
-    before_quantity = Column(Float, default=0)
-    after_quantity = Column(Float, default=0)
+    quantity = Column(Numeric(12, 4), nullable=False)
+    before_quantity = Column(Numeric(12, 4), default=0)
+    after_quantity = Column(Numeric(12, 4), default=0)
     reference_type = Column(String(50), nullable=True)
     reference_id = Column(Integer, nullable=True)
     reference_no = Column(String(50), nullable=True)
-    unit_price = Column(Float, nullable=True)
-    total_amount = Column(Float, nullable=True)
+    unit_price = Column(Numeric(12, 2), nullable=True)
+    total_amount = Column(Numeric(12, 2), nullable=True)
     remark = Column(Text, nullable=True)
     operator_id = Column(Integer, ForeignKey("users.id"), nullable=True)
     created_at = Column(DateTime, default=func.now(), index=True)
@@ -706,8 +711,8 @@ class PurchaseOrder(Base):
     order_date = Column(DateTime, default=func.now())
     expected_date = Column(Date, nullable=True)
     status = Column(String(20), default="draft")
-    total_amount = Column(Float, default=0)
-    paid_amount = Column(Float, default=0)
+    total_amount = Column(Numeric(12, 2), default=0)
+    paid_amount = Column(Numeric(12, 2), default=0)
     remark = Column(Text, nullable=True)
     operator_id = Column(Integer, ForeignKey("users.id"), nullable=True)
     created_at = Column(DateTime, default=func.now())
@@ -732,8 +737,8 @@ class PurchaseOrderItem(Base):
     product_id = Column(Integer, ForeignKey("products.id"), nullable=False)
     quantity = Column(Integer, nullable=False)
     received_quantity = Column(Integer, default=0)
-    unit_price = Column(Float, nullable=False)
-    amount = Column(Float, nullable=False)
+    unit_price = Column(Numeric(12, 2), nullable=False)
+    amount = Column(Numeric(12, 2), nullable=False)
     remark = Column(Text, nullable=True)
     
     order = relationship("PurchaseOrder", back_populates="items")
@@ -757,10 +762,10 @@ class SalesOrder(Base):
     status = Column(String(20), default="draft")
     production_status = Column(String(20), default="not_started", index=True)
     production_no = Column(String(50), nullable=True, index=True)
-    planned_material_cost = Column(Float, default=0)
-    actual_material_cost = Column(Float, default=0)
-    total_amount = Column(Float, default=0)
-    received_amount = Column(Float, default=0)
+    planned_material_cost = Column(Numeric(12, 2), default=0)
+    actual_material_cost = Column(Numeric(12, 2), default=0)
+    total_amount = Column(Numeric(12, 2), default=0)
+    received_amount = Column(Numeric(12, 2), default=0)
     remark = Column(Text, nullable=True)
     operator_id = Column(Integer, ForeignKey("users.id"), nullable=True)
     created_at = Column(DateTime, default=func.now())
@@ -781,7 +786,7 @@ class FinanceTransaction(Base):
     txn_type = Column(String(20), nullable=False, index=True)
     partner_type = Column(String(20), nullable=False, index=True)
     partner_id = Column(Integer, nullable=False, index=True)
-    amount = Column(Float, nullable=False)
+    amount = Column(Numeric(12, 2), nullable=False)
     txn_date = Column(DateTime, default=func.now(), index=True)
     method = Column(String(30), default="bank")
     account_name = Column(String(100), nullable=True)
@@ -803,7 +808,7 @@ class FinanceAllocation(Base):
     transaction_id = Column(Integer, ForeignKey("finance_transactions.id"), nullable=False, index=True)
     order_type = Column(String(20), nullable=False, index=True)
     order_id = Column(Integer, nullable=False, index=True)
-    allocated_amount = Column(Float, nullable=False)
+    allocated_amount = Column(Numeric(12, 2), nullable=False)
     created_at = Column(DateTime, default=func.now(), index=True)
 
     transaction = relationship("FinanceTransaction", back_populates="allocations")
@@ -852,8 +857,8 @@ class SalesOrderItem(Base):
     product_id = Column(Integer, ForeignKey("products.id"), nullable=False)
     quantity = Column(Integer, nullable=False)
     delivered_quantity = Column(Integer, default=0)
-    unit_price = Column(Float, nullable=False)
-    amount = Column(Float, nullable=False)
+    unit_price = Column(Numeric(12, 2), nullable=False)
+    amount = Column(Numeric(12, 2), nullable=False)
     remark = Column(Text, nullable=True)
     
     order = relationship("SalesOrder", back_populates="items")

src/services/calculation_service.py

@@ -263,6 +263,23 @@ class CalculationService:
                 if key in mold_cavities:
                     detailed_cavity_json["mold_cavities"][key] = mold_cavities[key]
 
+        # 合并分模附加信息，保持普通模具与铝泡沫模具输出结构一致
+        if cavity_mesh_data:
+            if cavity_mesh_data.get("parting_surface"):
+                detailed_cavity_json["parting_surface"] = cavity_mesh_data["parting_surface"]
+
+            quality_checks = cavity_mesh_data.get("quality_checks", {})
+            if quality_checks:
+                detailed_cavity_json["quality_checks"] = quality_checks
+
+            undercut_regions = quality_checks.get("undercut_regions")
+            if undercut_regions:
+                detailed_cavity_json["undercut_regions"] = undercut_regions
+
+            side_actions = quality_checks.get("side_actions")
+            if side_actions:
+                detailed_cavity_json["side_actions"] = side_actions
+
         # 添加型腔关键信息
         detailed_cavity_json["mold_cavities"]["cavity_key_info"] = {
             "geometric_characteristics": {
@@ -273,6 +290,8 @@ class CalculationService:
                 "projected_area": f"{projected_area_cm2:.2f} cm²",
             },
             "quality_considerations": {
+                "undercut_count": len(detailed_cavity_json.get("undercut_regions", [])),
+                "side_action_summary": detailed_cavity_json.get("side_actions", {}).get("summary", {}),
                 "potential_weld_lines": "center" if cavity_count > 1 else "minimal",
                 "sink_mark_areas": "thick_sections" if wall["wall_thickness_max"] > 4 else "minimal",
                 "warpage_risk": "medium" if wall["wall_thickness_max"] > 5 else "low",

static/index.html

@@ -62,7 +62,7 @@
     })();
   </script>
   <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/air-datepicker@3.5.3/air-datepicker.css">
-  <link rel="stylesheet" href="/static/style.css?v=20260317-01">
+  <link rel="stylesheet" href="/static/style.css?v=20260419-01">
 </head>
 <body>
   <div id="app">

static/style.css

@@ -2466,8 +2466,35 @@ select.form-input {
 .result-header {
   display: flex;
   align-items: center;
-  justify-content: space-between;
+  gap: var(--space-3);
   margin-bottom: var(--space-4);
+  flex-wrap: wrap;
+}
+
+.export-buttons {
+  display: flex;
+  gap: var(--space-2);
+  margin-left: auto;
+  flex-wrap: wrap;
+}
+
+.export-buttons .btn-sm {
+  font-size: 0.75rem;
+  padding: 0.25rem 0.6rem;
+  white-space: nowrap;
+}
+
+.btn-secondary {
+  background: var(--bg-secondary, #6b7280);
+  color: white;
+  border: none;
+  border-radius: var(--radius-md, 6px);
+  cursor: pointer;
+  transition: background 0.2s;
+}
+
+.btn-secondary:hover {
+  background: var(--bg-tertiary, #4b5563);
 }
 
 .result-title {

static/vue-app.js

@@ -1260,8 +1260,40 @@ const ResultView = {
     const isFoamMaterial = (material) => {
       return material === 'aluminum_foam';
     };
+
+    const exportCAD = async (format) => {
+      try {
+        const taskId = route.params.taskId;
+        const result = await apiRequest('/api/export-mold', {
+          method: 'POST',
+          headers: { 'Content-Type': 'application/json' },
+          body: JSON.stringify({
+            task_id: taskId,
+            formats: [format],
+            components: ['cavity', 'core', 'parting_surface']
+          })
+        });
+
+        if (result.status === 'success' && result.data.files) {
+          for (const file of result.data.files) {
+            const downloadUrl = `/api/export-download/${file.filepath.replace(/\\/g, '/').split('/').slice(-2).join('/')}`;
+            const link = document.createElement('a');
+            link.href = downloadUrl;
+            link.download = file.filename;
+            document.body.appendChild(link);
+            link.click();
+            document.body.removeChild(link);
+          }
+          addNotification(`已导出 ${result.data.files.length} 个 ${format.toUpperCase()} 文件`, 'success');
+        } else if (result.data.errors && result.data.errors.length > 0) {
+          addNotification(`导出失败: ${result.data.errors[0]}`, 'error');
+        }
+      } catch (e) {
+        addNotification(`导出失败: ${e.message}`, 'error');
+      }
+    };
     
-    return { state, formatFileSize, formatDateTime, formatNumber, getPriorityText, isFoamMaterial };
+    return { state, formatFileSize, formatDateTime, formatNumber, getPriorityText, isFoamMaterial, exportCAD };
   },
   template: `
     <div class="page-container">
@@ -1284,6 +1316,20 @@ const ResultView = {
           <span :class="['badge', state.task.status === 'completed' ? 'badge-success' : 'badge-error']">
             {{ state.task.status }}
           </span>
+          <div v-if="state.task.status === 'completed'" class="export-buttons">
+            <button class="btn-sm btn-primary" @click="exportCAD('step')" title="导出STEP格式（UG/FreeCAD/SolidWorks通用）">
+              导出 STEP
+            </button>
+            <button class="btn-sm btn-secondary" @click="exportCAD('stl')" title="导出STL网格格式（3D打印预览）">
+              导出 STL
+            </button>
+            <button class="btn-sm btn-secondary" @click="exportCAD('iges')" title="导出IGES格式（兼容旧系统）">
+              导出 IGES
+            </button>
+            <button class="btn-sm btn-secondary" @click="exportCAD('brep')" title="导出BRep格式（FreeCAD原生）">
+              导出 BRep
+            </button>
+          </div>
         </div>
         
         <div class="result-grid">