864 lines
35 KiB
Python
864 lines
35 KiB
Python
# api/routes.py
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from fastapi import APIRouter, UploadFile, File, HTTPException, BackgroundTasks, Request, Depends
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from typing import Optional, Dict, Any, List
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import uuid
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from datetime import datetime
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from pathlib import Path
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from models.schemas import ProcessingStatus, create_task_info
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from core.stp_parser import STPParser
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from core.geometry_analyzer import GeometryAnalyzer
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from utils.file_handler import FileHandler
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from utils.html_generator import HTMLGenerator
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from services.storage_integration_rustfs import StorageIntegrationService
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from database.database import get_db_session
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from utils.logger import get_logger
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from sqlalchemy.ext.asyncio import AsyncSession
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from core.mold_generator import MoldCavityGenerator
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from core.aluminum_foam_mold import AluminumFoamMoldGenerator
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from core.mold_quality_inspector import AluminumFoamMoldQualityInspector
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from core.mesh_generator import MeshGenerator
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from services.auth_service import get_current_active_user
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from models.database import User
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logger = get_logger(__name__)
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router = APIRouter()
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stp_parser = STPParser()
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geometry_analyzer = GeometryAnalyzer()
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file_handler = FileHandler()
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html_generator = HTMLGenerator()
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mold_generator = MoldCavityGenerator(shrinkage_rate=0.005)
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# 铝泡沫模具生成器
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aluminum_foam_generator = AluminumFoamMoldGenerator(shrinkage_rate=0.015, draft_angle=3.0)
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# 铝泡沫模具质量检测器
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mold_quality_inspector = AluminumFoamMoldQualityInspector()
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mesh_generator = MeshGenerator(quality="medium")
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tasks = {}
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@router.get("/health")
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@router.post("/health")
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async def health():
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return {
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"status": "healthy",
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"pythonocc": True,
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"total_tasks": len(tasks)
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}
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@router.post("/upload")
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async def upload_stp(
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background_tasks: BackgroundTasks,
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file: UploadFile = File(...),
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material: Optional[str] = "ABS",
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db_session: AsyncSession = Depends(get_db_session),
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current_user: User = Depends(get_current_active_user)
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):
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"""上传STP文件并存储到数据库"""
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if not file.filename.lower().endswith(('.stp', '.step')):
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raise HTTPException(400, "只支持STP/STEP文件")
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task_id = str(uuid.uuid4())
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# 保存文件
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file_path, file_size = await file_handler.save_uploaded_file(file)
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# 创建存储集成服务实例
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storage_service = StorageIntegrationService()
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# 保存STP文件到RustFS + PostgreSQL
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stp_file = await storage_service.save_stp_file(
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session=db_session,
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file_path=file_path,
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original_filename=file.filename,
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user_id=current_user.id
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)
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# 创建处理任务记录
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await storage_service.create_processing_task(db_session, task_id, stp_file.id)
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# 创建内存任务记录
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tasks[task_id] = create_task_info(
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task_id=task_id,
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status=ProcessingStatus.PROCESSING,
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filename=file.filename,
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file_path=str(file_path),
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file_size=file_size,
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upload_time=str(datetime.now())
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)
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# 后台处理（包含数据库存储）
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background_tasks.add_task(process_file_with_storage, task_id, file_path, stp_file.id, db_session, material)
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return {
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"task_id": task_id,
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"status": "processing",
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"message": "文件上传成功，开始处理并存储到数据库",
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"file_info": {
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"filename": file.filename,
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"size": file_size,
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"pythonocc_available": True,
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"database_file_id": stp_file.id
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}
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}
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@router.get("/status/{task_id}")
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@router.post("/status/{task_id}")
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async def get_status(task_id: str, db_session: AsyncSession = Depends(get_db_session)):
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"""
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获取任务状态
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优先返回内存中的任务信息；
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如果内存中不存在，则从 PostgreSQL + RustFS 组装一个持久化的任务视图，
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结构与内存任务保持尽量一致，便于前端集中展示总结性信息。
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"""
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try:
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# 1. 内存任务（进行中的任务）
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if task_id in tasks:
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task = tasks[task_id]
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logger.info(f"返回内存任务状态：{task_id} - {task['status']}")
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logger.info(f"内存任务 analysis_result: {task.get('analysis_result', 'None')}")
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logger.info(f"内存任务 html_file: {task.get('html_file', 'None')}")
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return task
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# 2. 持久化任务（已完成/失败，或服务重启后的任务）
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from sqlalchemy import select
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from models.database import ProcessingTask, STPFile, GeometryData, MeshData, MoldCavityData
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storage_service = StorageIntegrationService()
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# 查询任务和文件元数据
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result = await db_session.execute(
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select(ProcessingTask, STPFile)
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.join(STPFile, ProcessingTask.stp_file_id == STPFile.id)
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.where(ProcessingTask.task_id == task_id)
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)
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row = result.first()
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if not row:
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raise HTTPException(404, "任务不存在")
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processing_task, stp_file = row
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# 从 RustFS 取几何 / 型腔 / 网格详细 JSON（小量数据，便于前端展示汇总）
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try:
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file_with_data = await storage_service.get_stp_file_with_data(
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db_session, stp_file_id=stp_file.id
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)
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except Exception as e:
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logger.error(f"获取文件数据失败: {e}")
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file_with_data = {}
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geometry_json: Optional[Dict[str, Any]] = None
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if file_with_data.get("geometry_data"):
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geo_raw = file_with_data["geometry_data"]
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if isinstance(geo_raw, dict):
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if "geometry_data" in geo_raw:
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geometry_json = geo_raw["geometry_data"]
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else:
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geometry_json = geo_raw
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cavity_json: Optional[Dict[str, Any]] = file_with_data.get("mold_cavity_data")
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features_json: List[Dict[str, Any]] = file_with_data.get("features", [])
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recommendations_json: List[Dict[str, Any]] = file_with_data.get("recommendations", [])
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# 组装网格摘要
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mesh_summary = None
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mesh_record = await db_session.execute(
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select(MeshData).where(MeshData.stp_file_id == stp_file.id)
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)
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mesh_record = mesh_record.scalar_one_or_none()
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if mesh_record:
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mesh_summary = {
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"vertex_count": mesh_record.vertex_count,
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"face_count": mesh_record.face_count,
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"point_count": mesh_record.point_count,
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"quality": mesh_record.quality,
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}
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# 构造与内存任务兼容的任务视图
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task_view = {
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"task_id": processing_task.task_id,
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"status": processing_task.status,
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"filename": stp_file.original_filename if stp_file else "",
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"file_path": stp_file.file_path or "",
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"file_size": stp_file.file_size if stp_file else 0,
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"upload_time": processing_task.created_time.isoformat()
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if processing_task.created_time
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else "",
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"completed_at": processing_task.completed_time.isoformat()
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if processing_task.completed_time
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else "",
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"geometry_data": geometry_json,
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"key_info": cavity_json,
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"cavity_data": cavity_json,
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"mesh_summary": mesh_summary,
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"analysis_result": {
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"geometry_data": geometry_json,
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"detected_features": features_json,
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"design_recommendations": recommendations_json,
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"quality_metrics": {
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"volume_utilization": file_with_data.get("analysis_metrics", {}).get("volume_utilization", 0),
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"topology_complexity": file_with_data.get("analysis_metrics", {}).get("topology_complexity", 0),
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"wall_uniformity": file_with_data.get("analysis_metrics", {}).get("wall_uniformity", 0)
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},
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"analysis_summary": file_with_data.get("analysis_metrics", {}).get("analysis_summary", "分析完成")
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} if geometry_json or features_json or recommendations_json else None,
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"error": processing_task.error_message or stp_file.error_message or None,
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}
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logger.info(f"返回持久化任务状态: {task_id} - {processing_task.status}")
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return task_view
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"获取任务状态失败: {e}")
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raise HTTPException(500, f"获取任务状态失败: {str(e)}")
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@router.get("/debug/tasks")
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@router.post("/debug/tasks")
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async def debug_tasks():
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"""调试接口：查看所有任务"""
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return {
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"total_tasks": len(tasks),
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"tasks": tasks
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}
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@router.get("/history")
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@router.post("/history")
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async def get_file_history(db_session: AsyncSession = Depends(get_db_session)):
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"""获取按文件名分组的文件历史记录（支持多上传）"""
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storage_service = StorageIntegrationService()
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file_groups = await storage_service.get_all_file_groups(db_session)
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return {
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"total_files": len(file_groups),
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"files": file_groups
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}
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@router.get("/history/{filename}")
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@router.post("/history/{filename}")
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async def get_file_records(filename: str, db_session: AsyncSession = Depends(get_db_session)):
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"""获取指定文件名的所有上传记录（支持多上传历史）"""
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import urllib.parse
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decoded_filename = urllib.parse.unquote(filename)
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storage_service = StorageIntegrationService()
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file_records = await storage_service.get_file_history_by_filename(
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db_session,
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decoded_filename
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)
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return file_records
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@router.get("/result/{task_id}")
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@router.post("/result/{task_id}")
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async def result_page(request: Request, task_id: str, db_session: AsyncSession = Depends(get_db_session)):
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"""结果详情页面"""
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from sqlalchemy import select
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from models.database import ProcessingTask, STPFile, GeometryData, MoldCavityData, HTMLFile
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# 从数据库查询任务详情
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result = await db_session.execute(
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select(ProcessingTask, STPFile)
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.join(STPFile, ProcessingTask.stp_file_id == STPFile.id)
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.where(ProcessingTask.task_id == task_id)
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)
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task_record = result.first()
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if not task_record:
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raise HTTPException(404, "任务不存在")
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task, stp_file = task_record
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# 构建任务详情数据（先只包含基本数据）
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task_data = {
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"task_id": task.task_id,
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"filename": stp_file.original_filename if stp_file else "",
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"file_size": stp_file.file_size if stp_file else 0,
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"status": task.status,
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"progress": task.progress,
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"current_step": task.current_step,
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"created_at": task.created_time.isoformat() if task.created_time else "",
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"completed_at": task.completed_time.isoformat() if task.completed_time else "",
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"error": task.error_message if task.error_message else ""
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}
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from fastapi.templating import Jinja2Templates
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import os
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# 简化路径配置，直接使用当前工作目录下的templates文件夹
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templates_dir = os.path.join(os.getcwd(), "templates")
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templates = Jinja2Templates(directory=templates_dir)
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return templates.TemplateResponse("result.html", {
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"request": request,
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"task": task_data,
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"pythonocc_available": True,
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"version": "3.0.0"
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})
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async def process_file_with_storage(
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task_id: str,
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file_path: str,
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stp_file_id: int,
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db_session: AsyncSession,
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material: str = "ABS"
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):
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"""处理文件的后台任务"""
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storage_service = StorageIntegrationService()
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try:
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logger.info(f"开始处理文件并生成模具型腔: {file_path}")
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# 设置处理超时（5分钟）
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import asyncio
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timeout_seconds = 300 # 5分钟
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async def process_with_timeout():
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# 处理逻辑将在下面添加
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pass
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# 使用超时保护
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try:
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await asyncio.wait_for(process_file_core(storage_service, task_id, file_path, stp_file_id, db_session, material), timeout_seconds)
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except asyncio.TimeoutError:
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logger.error(f"处理超时: {task_id}")
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raise Exception(f"处理超时，超过{timeout_seconds}秒未完成")
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except Exception as e:
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logger.error(f"模具型腔生成失败: {e}")
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await storage_service.update_stp_file_status(db_session, stp_file_id, "failed")
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await storage_service.update_task_status(
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db_session, task_id, "failed", error_message=str(e)
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)
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tasks[task_id]["status"] = ProcessingStatus.FAILED
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tasks[task_id]["error"] = str(e)
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tasks[task_id]["completed_at"] = str(datetime.now())
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async def _save_analysis_metrics(session, stp_file_id, analysis_result):
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"""保存分析指标到数据库"""
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from models.database import AnalysisMetrics
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quality_metrics = analysis_result.get("quality_metrics", {})
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analysis_summary = analysis_result.get("analysis_summary", "")
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# 创建分析指标记录
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metrics = AnalysisMetrics(
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stp_file_id=stp_file_id,
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volume_utilization=quality_metrics.get("volume_utilization", 0),
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topology_complexity=quality_metrics.get("topology_complexity", 0),
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wall_uniformity=quality_metrics.get("wall_uniformity", 0),
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analysis_summary=analysis_summary
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)
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session.add(metrics)
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await session.commit()
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logger.info(f"分析指标保存成功: {metrics.id}")
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async def _save_verification_metrics(session, stp_file_id, verification_result):
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"""保存验证指标到数据库"""
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from models.database import AnalysisMetrics
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from sqlalchemy import select
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# 查找现有的分析指标记录
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result = await session.execute(
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select(AnalysisMetrics).where(AnalysisMetrics.stp_file_id == stp_file_id)
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)
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metrics = result.scalar_one_or_none()
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if metrics:
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# 更新现有记录
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metrics.verification_status = verification_result.get("status", "unknown")
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comparison = verification_result.get("comparison", {})
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volume_comparison = comparison.get("volume", {})
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area_comparison = comparison.get("surface_area", {})
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metrics.verification_volume_diff = volume_comparison.get("difference_percent", 0)
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metrics.verification_area_diff = area_comparison.get("difference_percent", 0)
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metrics.verification_details = verification_result
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else:
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# 创建新记录
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comparison = verification_result.get("comparison", {})
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volume_comparison = comparison.get("volume", {})
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area_comparison = comparison.get("surface_area", {})
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metrics = AnalysisMetrics(
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stp_file_id=stp_file_id,
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verification_status=verification_result.get("status", "unknown"),
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verification_volume_diff=volume_comparison.get("difference_percent", 0),
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verification_area_diff=area_comparison.get("difference_percent", 0),
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verification_details=verification_result
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)
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session.add(metrics)
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await session.commit()
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logger.info(f"验证指标保存成功: stp_file_id={stp_file_id}")
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async def process_file_core(
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storage_service: StorageIntegrationService,
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task_id: str,
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file_path: str,
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stp_file_id: int,
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db_session: AsyncSession,
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material: str = "ABS"
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):
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"""核心处理逻辑"""
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try:
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logger.info(f"开始处理文件并生成模具型腔: {file_path}")
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# 更新任务状态
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await storage_service.update_task_status(
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db_session, task_id, "processing", 20, "解析STP文件"
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)
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# 1. 解析STP文件
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await storage_service.update_task_status(
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db_session, task_id, "processing", 20, "解析STP文件"
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)
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# 使用STPParser类进行真实解析
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shape = stp_parser.load_step_file(Path(file_path))
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geometry_data = stp_parser.analyze_geometry(shape)
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# 2. 生成网格数据并持久化（详细 JSON 存 RustFS，摘要写 PostgreSQL）
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await storage_service.update_task_status(
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db_session, task_id, "processing", 30, "生成网格数据"
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)
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mesh_result = None
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mesh_json = None
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try:
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mesh_result = mesh_generator.generate_mesh_from_shape(shape)
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# mesh_generator 返回: vertices, faces, points, normals, point_count, vertex_count, face_count
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vertices = mesh_result.get("vertices", [])
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faces = mesh_result.get("faces", [])
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points = mesh_result.get("points", [])
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normals = mesh_result.get("normals", [])
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point_count = mesh_result.get("point_count", 0)
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vertex_count = mesh_result.get("vertex_count", 0)
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face_count = mesh_result.get("face_count", 0)
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if vertices and faces:
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# 使用已计算的几何边界框，避免重复计算
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bbox = geometry_data.get("bounding_box", {})
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mesh_json = {
|
||
"metadata": {
|
||
"file_name": Path(file_path).name,
|
||
"generated_at": datetime.now().isoformat(),
|
||
"quality": "medium",
|
||
"vertex_count": vertex_count,
|
||
"face_count": face_count,
|
||
"point_count": point_count,
|
||
},
|
||
"mesh": {
|
||
"vertices": vertices,
|
||
"faces": faces,
|
||
},
|
||
"pointcloud": {
|
||
"points": points,
|
||
"normals": normals,
|
||
"count": point_count
|
||
},
|
||
"bounding_box": bbox,
|
||
}
|
||
|
||
await storage_service.save_mesh_data(
|
||
db_session,
|
||
stp_file_id=stp_file_id,
|
||
mesh_json=mesh_json,
|
||
quality="medium",
|
||
)
|
||
# 将简要网格摘要写入内存任务，便于前端展示汇总信息
|
||
tasks[task_id]["mesh_summary"] = {
|
||
"vertex_count": vertex_count,
|
||
"face_count": face_count,
|
||
"point_count": point_count,
|
||
"quality": "medium",
|
||
}
|
||
except Exception as mesh_err:
|
||
# 网格失败不影响整体流程，只记录日志
|
||
logger.warning(f"网格生成或保存失败，不影响主流程: {mesh_err}")
|
||
|
||
# 3. 生成模具型腔（使用真实的 MoldCavityGenerator）
|
||
await storage_service.update_task_status(
|
||
db_session, task_id, "processing", 40, "生成模具型腔"
|
||
)
|
||
|
||
# 材料属性（需在型腔生成前定义）
|
||
material_properties = {
|
||
"ABS": {"density": 1.05, "shrinkage": 0.005, "name": "ABS"},
|
||
"PP": {"density": 0.90, "shrinkage": 0.016, "name": "PP"},
|
||
"PE": {"density": 0.95, "shrinkage": 0.020, "name": "PE"},
|
||
"PC": {"density": 1.20, "shrinkage": 0.007, "name": "PC"},
|
||
"PA": {"density": 1.14, "shrinkage": 0.010, "name": "PA"},
|
||
"POM": {"density": 1.41, "shrinkage": 0.020, "name": "POM"},
|
||
"PMMA": {"density": 1.18, "shrinkage": 0.005, "name": "PMMA"},
|
||
"PBT": {"density": 1.31, "shrinkage": 0.015, "name": "PBT"},
|
||
"AlSi10Mg": {"density": 0.45, "shrinkage": 0.015, "name": "AlSi10Mg", "is_foam": True},
|
||
"AlSi12": {"density": 0.50, "shrinkage": 0.012, "name": "AlSi12", "is_foam": True},
|
||
"Pure Al Foam": {"density": 0.35, "shrinkage": 0.020, "name": "Pure Al Foam", "is_foam": True},
|
||
"AlSi7Mg": {"density": 0.40, "shrinkage": 0.018, "name": "AlSi7Mg", "is_foam": True},
|
||
}
|
||
|
||
requested_material = material if material in material_properties else "ABS"
|
||
selected_material = material_properties.get(requested_material, material_properties["ABS"])
|
||
is_foam_material = selected_material.get("is_foam", False)
|
||
|
||
# 使用 MoldCavityGenerator 生成型腔数据
|
||
cavity_mesh_data = None
|
||
try:
|
||
if shape:
|
||
if is_foam_material:
|
||
aluminum_foam_generator.set_material(selected_material["name"])
|
||
cavity_result = aluminum_foam_generator.generate_mold_cavities(shape)
|
||
cavity_mesh_data = aluminum_foam_generator.generate_detailed_cavity_json(cavity_result)
|
||
logger.info(f"使用铝泡沫模具生成器: {selected_material['name']}")
|
||
else:
|
||
cavity_result = mold_generator.generate_mold_cavities(shape)
|
||
cavity_mesh_data = mold_generator.generate_detailed_cavity_json(cavity_result)
|
||
logger.info(f"使用普通塑料模具生成器: {selected_material['name']}")
|
||
|
||
if cavity_mesh_data:
|
||
logger.info(f"型腔网格数据生成完成: {cavity_mesh_data.get('mold_cavities', {}).get('cavity', {}).get('vertex_count', 0)} 顶点")
|
||
except Exception as cavity_err:
|
||
logger.warning(f"型腔生成失败，使用简化数据: {cavity_err}")
|
||
import traceback
|
||
traceback.print_exc()
|
||
cavity_mesh_data = None
|
||
|
||
# 4. 生成详细JSON数据（使用计算值）
|
||
await storage_service.update_task_status(
|
||
db_session, task_id, "processing", 60, "生成型腔详细数据"
|
||
)
|
||
|
||
# 使用模具生成器计算各项参数
|
||
volume_mm3 = geometry_data.get("volume", 0)
|
||
surface_area_mm2 = geometry_data.get("surface_area", 0)
|
||
bbox = geometry_data.get("bounding_box", {})
|
||
bbox_dims = bbox.get("dimensions", [0, 0, 0])
|
||
|
||
material_density = selected_material["density"]
|
||
shrinkage_rate = selected_material["shrinkage"]
|
||
|
||
# 计算产品重量
|
||
volume_cm3 = volume_mm3 / 1000
|
||
product_weight_g = volume_cm3 * material_density
|
||
|
||
# 计算投影面积（取X、Y方向）
|
||
if len(bbox_dims) >= 2:
|
||
projected_area_cm2 = (bbox_dims[0] * bbox_dims[1]) / 100
|
||
else:
|
||
projected_area_cm2 = 0
|
||
|
||
# 计算最优型腔数量
|
||
# 基于产品重量和投影面积计算
|
||
# 小产品（< 100g）可以多型腔，大产品（> 1000g）通常单型腔
|
||
if product_weight_g < 50:
|
||
cavity_count = 8 # 小产品，多型腔
|
||
elif product_weight_g < 100:
|
||
cavity_count = 4 # 中小产品
|
||
elif product_weight_g < 300:
|
||
cavity_count = 2 # 中等产品
|
||
elif product_weight_g < 1000:
|
||
cavity_count = 1 # 较大产品
|
||
else:
|
||
cavity_count = 1 # 大产品，单型腔
|
||
|
||
# 根据投影面积调整型腔数量
|
||
# 如果单型腔投影面积超过 400 cm²，减少型腔数量
|
||
single_cavity_area = projected_area_cm2
|
||
if single_cavity_area > 400:
|
||
cavity_count = 1
|
||
elif single_cavity_area > 200 and cavity_count > 2:
|
||
cavity_count = 2
|
||
|
||
# 计算总投影面积（包括流道系统）
|
||
# 流道系统约占型腔投影面积的 15-25%
|
||
runner_ratio = 0.20
|
||
total_projected_area = single_cavity_area * cavity_count * (1 + runner_ratio)
|
||
|
||
# 计算夹紧力（总投影面积 × 注塑压力 / 1000 吨）
|
||
# 注塑压力根据材料选择：ABS 约 600-800 kg/cm²
|
||
injection_pressure = 700 # kg/cm²
|
||
clamping_force_ton = int(total_projected_area * injection_pressure / 1000)
|
||
|
||
# 确保夹紧力在合理范围内
|
||
clamping_force_ton = max(50, min(clamping_force_ton, 3000))
|
||
|
||
# 计算壁厚范围
|
||
if surface_area_mm2 > 0 and volume_mm3 > 0:
|
||
avg_thickness_mm = (volume_mm3 / surface_area_mm2) * 0.6
|
||
wall_thickness_min = avg_thickness_mm * 0.7
|
||
wall_thickness_max = avg_thickness_mm * 1.3
|
||
else:
|
||
avg_thickness_mm = 2.5
|
||
wall_thickness_min = 2.0
|
||
wall_thickness_max = 3.0
|
||
|
||
# 计算复杂度评分
|
||
if surface_area_mm2 > 0 and volume_mm3 > 0:
|
||
complexity_score = min((avg_thickness_mm / 5.0), 1.0)
|
||
else:
|
||
complexity_score = 0.5
|
||
|
||
# 计算模具尺寸（基于型腔布局）
|
||
# 单型腔：产品尺寸 + 边距
|
||
# 多型腔：需要考虑型腔排列
|
||
cavity_spacing = 30 # 型腔间距 mm
|
||
edge_margin = 50 # 边缘余量 mm
|
||
|
||
if cavity_count == 1:
|
||
mold_length = max(bbox_dims[0] if len(bbox_dims) > 0 else 120, 120) + 2 * edge_margin
|
||
mold_width = max(bbox_dims[1] if len(bbox_dims) > 1 else 100, 100) + 2 * edge_margin
|
||
elif cavity_count == 2:
|
||
# 2型腔：并排排列
|
||
mold_length = 2 * max(bbox_dims[0] if len(bbox_dims) > 0 else 120, 120) + cavity_spacing + 2 * edge_margin
|
||
mold_width = max(bbox_dims[1] if len(bbox_dims) > 1 else 100, 100) + 2 * edge_margin
|
||
elif cavity_count == 4:
|
||
# 4型腔：2x2 排列
|
||
mold_length = 2 * max(bbox_dims[0] if len(bbox_dims) > 0 else 120, 120) + cavity_spacing + 2 * edge_margin
|
||
mold_width = 2 * max(bbox_dims[1] if len(bbox_dims) > 1 else 100, 100) + cavity_spacing + 2 * edge_margin
|
||
else:
|
||
# 8型腔：2x4 排列
|
||
mold_length = 4 * max(bbox_dims[0] if len(bbox_dims) > 0 else 120, 120) + 3 * cavity_spacing + 2 * edge_margin
|
||
mold_width = 2 * max(bbox_dims[1] if len(bbox_dims) > 1 else 100, 100) + cavity_spacing + 2 * edge_margin
|
||
|
||
mold_height = max(bbox_dims[2] if len(bbox_dims) > 2 else 60, 60) + 80 # 包含冷却系统
|
||
|
||
# 计算分型线长度（基于型腔布局）
|
||
if len(bbox_dims) >= 2:
|
||
single_parting_line = 2 * (bbox_dims[0] + bbox_dims[1])
|
||
parting_line_length = single_parting_line * cavity_count
|
||
else:
|
||
parting_line_length = 0
|
||
|
||
# 估算成型周期（基于体积和壁厚）
|
||
# 周期 = 冷却时间 + 注塑时间 + 开合模时间
|
||
cooling_time = (wall_thickness_max ** 2) * 4 # 冷却时间与壁厚平方成正比
|
||
injection_time = max(3, volume_cm3 / 100) # 注塑时间
|
||
ejection_time = 3 # 顶出时间
|
||
cycle_time = cooling_time + injection_time + ejection_time + 5 # 开合模约5秒
|
||
|
||
# 根据型腔数量调整周期（多型腔需要更长冷却时间）
|
||
if cavity_count > 1:
|
||
cycle_time = cycle_time * (1 + 0.1 * (cavity_count - 1))
|
||
|
||
detailed_cavity_json = {
|
||
"metadata": {
|
||
"file_name": Path(file_path).name,
|
||
"analysis_date": datetime.now().isoformat(),
|
||
"shrinkage_rate": shrinkage_rate,
|
||
"draft_angle": 2.0,
|
||
"selected_material": selected_material["name"]
|
||
},
|
||
"product_analysis": {
|
||
"volume": volume_mm3,
|
||
"surface_area": surface_area_mm2,
|
||
"bounding_box": bbox
|
||
},
|
||
"manufacturing_info": {
|
||
"recommended_material": selected_material["name"],
|
||
"material_density": f"{material_density} g/cm³",
|
||
"estimated_clamping_force": f"{clamping_force_ton} 吨",
|
||
"estimated_mold_size": {
|
||
"length": int(mold_length),
|
||
"width": int(mold_width),
|
||
"height": int(mold_height)
|
||
},
|
||
"mold_material": "铝合金7075" if clamping_force_ton < 200 else "P20钢材",
|
||
"mold_hardness": "HB 150-170" if clamping_force_ton < 200 else "HRC 28-32",
|
||
"surface_finish": "Ra 0.8 μm",
|
||
"parting_line_length": f"{parting_line_length:.2f} mm",
|
||
"estimated_cycle_time": f"{int(cycle_time)} 秒",
|
||
"injection_pressure": f"{injection_pressure} kg/cm²"
|
||
},
|
||
"mold_cavities": {
|
||
"cavity_count": cavity_count,
|
||
}
|
||
}
|
||
|
||
# 合并型腔网格数据（如果有）
|
||
if cavity_mesh_data and "mold_cavities" in cavity_mesh_data:
|
||
mold_cavities = cavity_mesh_data["mold_cavities"]
|
||
if "cavity" in mold_cavities:
|
||
detailed_cavity_json["mold_cavities"]["cavity"] = mold_cavities["cavity"]
|
||
if "core" in mold_cavities:
|
||
detailed_cavity_json["mold_cavities"]["core"] = mold_cavities["core"]
|
||
if "parting_surface" in mold_cavities:
|
||
detailed_cavity_json["mold_cavities"]["parting_surface"] = mold_cavities["parting_surface"]
|
||
logger.info(f"型腔网格数据已合并: cavity {mold_cavities.get('cavity', {}).get('vertex_count', 0)} 顶点")
|
||
|
||
# 添加型腔关键信息
|
||
detailed_cavity_json["mold_cavities"]["cavity_key_info"] = {
|
||
"geometric_characteristics": {
|
||
"product_weight": f"{product_weight_g:.2f} g",
|
||
"wall_thickness_range": f"{wall_thickness_min:.2f} - {wall_thickness_max:.2f} mm",
|
||
"complexity_score": round(complexity_score, 2),
|
||
"product_volume": f"{volume_cm3:.2f} cm³",
|
||
"projected_area": f"{projected_area_cm2:.2f} cm²"
|
||
},
|
||
"quality_considerations": {
|
||
"potential_weld_lines": "center" if cavity_count > 1 else "minimal",
|
||
"sink_mark_areas": "thick_sections" if wall_thickness_max > 4 else "minimal",
|
||
"warpage_risk": "medium" if wall_thickness_max > 5 else "low"
|
||
}
|
||
}
|
||
|
||
# 5. 生成关键信息（模拟）
|
||
cavity_key_info = detailed_cavity_json["mold_cavities"]["cavity_key_info"]
|
||
|
||
# 6. 保存几何数据到数据库
|
||
await storage_service.update_task_status(
|
||
db_session, task_id, "processing", 70, "保存几何数据"
|
||
)
|
||
|
||
geometry_record = await storage_service.save_geometry_data(
|
||
db_session,
|
||
stp_file_id,
|
||
geometry_data,
|
||
geometry_data.get("analysis_method", "mold_cavity")
|
||
)
|
||
|
||
# 7. 保存模具型腔数据
|
||
await storage_service.save_mold_cavity_data(
|
||
db_session,
|
||
stp_file_id,
|
||
detailed_cavity_json
|
||
)
|
||
|
||
# 8. 生成HTML可视化（包含型腔信息和点云数据）
|
||
await storage_service.update_task_status(
|
||
db_session, task_id, "processing", 85, "生成可视化报告"
|
||
)
|
||
|
||
# 获取点云数据 - mesh_result 直接返回 points 和 normals
|
||
pointcloud_data = None
|
||
if mesh_result:
|
||
pointcloud_data = {
|
||
"points": mesh_result.get("points", []),
|
||
"normals": mesh_result.get("normals", []),
|
||
"point_count": mesh_result.get("point_count", 0)
|
||
}
|
||
|
||
html_file_path = html_generator.generate_and_save_visualization(
|
||
geometry_data,
|
||
Path(file_path).name,
|
||
cavity_data=detailed_cavity_json,
|
||
pointcloud_data=pointcloud_data
|
||
)
|
||
|
||
# 保存HTML文件信息
|
||
html_record = await storage_service.save_html_file(
|
||
db_session,
|
||
stp_file_id,
|
||
Path(html_file_path).name,
|
||
html_file_path
|
||
)
|
||
|
||
# 9. 分析模具设计
|
||
analysis_result = geometry_analyzer.analyze_mold_design(geometry_data)
|
||
|
||
# 9.5 保存完整的分析结果到数据库
|
||
if analysis_result:
|
||
await storage_service.save_features_and_recommendations(
|
||
db_session,
|
||
stp_file_id,
|
||
analysis_result.get("detected_features", []),
|
||
analysis_result.get("design_recommendations", [])
|
||
)
|
||
|
||
# 保存质量指标和分析摘要到数据库
|
||
await _save_analysis_metrics(db_session, stp_file_id, analysis_result)
|
||
|
||
# 9.6 更新STP文件的分析摘要字段（用于快速查询）
|
||
await storage_service.update_stp_file_analysis_summary(
|
||
db_session,
|
||
stp_file_id,
|
||
volume=volume_mm3,
|
||
surface_area=surface_area_mm2,
|
||
product_weight=product_weight_g
|
||
)
|
||
|
||
# 9.7 FreeCAD 几何验证（可通过配置禁用）
|
||
verification_result = None
|
||
from config.settings import settings
|
||
|
||
if settings.ENABLE_FREECAD_VERIFICATION:
|
||
await storage_service.update_task_status(
|
||
db_session, task_id, "processing", 90, "FreeCAD几何验证"
|
||
)
|
||
|
||
try:
|
||
from services.verification_service import GeometryVerificationService
|
||
# 使用配置的超时时间
|
||
verification_svc = GeometryVerificationService(timeout=settings.FREECAD_VERIFICATION_TIMEOUT)
|
||
verification_result = await verification_svc.verify_stp_file(file_path)
|
||
|
||
# 保存验证结果到数据库
|
||
if verification_result and analysis_result:
|
||
await _save_verification_metrics(
|
||
db_session,
|
||
stp_file_id,
|
||
verification_result
|
||
)
|
||
|
||
logger.info(f"FreeCAD验证完成: {verification_result.get('status', 'unknown') if verification_result else 'failed'}")
|
||
except Exception as ve:
|
||
logger.warning(f"FreeCAD验证失败（不影响主流程）: {ve}")
|
||
verification_result = {"status": "error", "error": str(ve)}
|
||
else:
|
||
logger.info("FreeCAD验证已禁用（设置 ENABLE_FREECAD_VERIFICATION=true 启用）")
|
||
verification_result = {"status": "disabled", "reason": "FreeCAD验证已禁用"}
|
||
|
||
# 10. 完成处理
|
||
await storage_service.update_stp_file_status(db_session, stp_file_id, "completed")
|
||
await storage_service.update_task_status(
|
||
db_session, task_id, "completed", 100, "模具型腔生成完成"
|
||
)
|
||
|
||
# 更新内存任务状态
|
||
tasks[task_id]["geometry_data"] = geometry_data
|
||
tasks[task_id]["analysis_result"] = analysis_result
|
||
tasks[task_id]["cavity_data"] = detailed_cavity_json
|
||
tasks[task_id]["key_info"] = detailed_cavity_json # 传递完整数据给前端
|
||
tasks[task_id]["html_file"] = f"/html/{Path(html_file_path).name}" # 只使用文件名
|
||
tasks[task_id]["verification"] = verification_result # 添加验证结果
|
||
tasks[task_id]["status"] = ProcessingStatus.COMPLETED
|
||
tasks[task_id]["completed_at"] = str(datetime.now())
|
||
|
||
# 调试日志
|
||
logger.info(f"模具型腔生成完成: {task_id}")
|
||
logger.info(f"key_info metadata: {detailed_cavity_json.get('metadata', {})}")
|
||
logger.info(f"key_info manufacturing_info: {detailed_cavity_json.get('manufacturing_info', {})}")
|
||
logger.info(f"key_info geometric_characteristics: {detailed_cavity_json.get('mold_cavities', {}).get('cavity_key_info', {}).get('geometric_characteristics', {})}")
|
||
|
||
except Exception as e:
|
||
logger.error(f"模具型腔生成失败: {e}")
|
||
|
||
await storage_service.update_stp_file_status(db_session, stp_file_id, "failed")
|
||
await storage_service.update_task_status(
|
||
db_session, task_id, "failed", error_message=str(e)
|
||
)
|
||
|
||
tasks[task_id]["status"] = ProcessingStatus.FAILED
|
||
tasks[task_id]["error"] = str(e)
|
||
tasks[task_id]["completed_at"] = str(datetime.now())
|