e728dcd226
① D11 HTML 报告 RustFS 单源化(TECH_DEBT P2 清偿):可视化产物写任务临时目录后
裸传报告键 html/reports/{filename}(文件名寻址),/html StaticFiles 挂载删除,
新增 html_report_router 根路径代理(报告键→遗留 JSON 包装→本地卷兜底→404,
防穿越);URL 形状 /html/{filename} 不变,持久化引用零迁移;celery 摘除
html_data 卷,镜像不再烤入陈旧报告;顺带删除 get_stp_file_with_data 死数据块
② OCC 方案 B(D10 清偿):run_occ(op_name, payload) 契约 + 常驻工作进程池
(occ_process_pool + occ_worker 操作注册表),超时/崩溃 terminate 换新补位、
任务级超时 recover 整体重建,残留线程泄漏根治;TopoDS 不跨进程(generate_cavity
分模 + 方案 STEP 持久化全在子进程内,返回 export_manifest);删除内存形状缓存链、
CADExporter.export_mold_results、shape_loader(→ stp_materializer)
③ OCC 方案 A 部署参数:CELERY_CONCURRENCY / CELERY_MAX_TASKS_PER_CHILD 进
Dockerfile.celery + compose + .env.example
④ D2 诚实标注:铝价响应带 source: "simulated",前端按来源渲染标注(原硬编码
"上海期货交易所"属虚假声明),死代码 getAluminumPrice 删除
⑤ CI 门禁:.gitea/workflows/ci.yml 三 job(pytest / 前端构建含 vue-tsc /
openapi 漂移检测)
接口变更三件套随批完成(openapi 76→77 paths + gen:api + 前端构建通过;方案 B
接口面零变化)。测试基线 143 passed, 0 skipped(新增 16 项)。文档六处同步。
Co-Authored-By: Claude Code <noreply@anthropic.com>
795 lines
36 KiB
Python
795 lines
36 KiB
Python
# services/processing_service.py
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"""STP 文件处理流程编排器 — 协调解析、网格生成、型腔生成、保存、验证"""
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import asyncio
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import os
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import shutil
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import tempfile
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import time
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from datetime import datetime
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from pathlib import Path
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from typing import Optional, Dict, Any, List, Tuple
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from moldinsight.core.cad_exporter import CADExporter
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from moldinsight.services.occ_process_pool import OccProcessPool
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from moldinsight.services.task_storage_service import TaskStorageService
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from moldinsight.services.analysis_storage_service import AnalysisStorageService
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from moldinsight.storage.rustfs_storage import rustfs_manager
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from shared.services.redis_task_manager import redis_task_manager
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from moldinsight.services.material_service import MaterialService
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from moldinsight.services.calculation_service import CalculationService
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from moldinsight.services.llm_service import llm_service
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from shared.models.schemas import ProcessingStatus
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from moldinsight.models import STPFile
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from shared.database.database import db_manager
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from shared.utils.html_generator import HTMLGenerator
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from shared.utils.logger import get_logger
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logger = get_logger(__name__)
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class ProcessingService:
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"""核心处理流程编排 — 协调 STP 解析、网格、型腔、计算、保存、验证"""
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def __init__(self):
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# 批次 3 按职责拆分:任务/文件生命周期 与 分析结果数据(原 StorageIntegrationService)
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self.task_storage = TaskStorageService()
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self.analysis_storage = AnalysisStorageService()
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# cad_exporter 仅用于导出文件条目构建/输出目录(export_artifacts 路径语义);
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# 真正的 OCC 形状导出在子进程内完成(见 core/occ_worker.py)
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self.cad_exporter = CADExporter()
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# D11:HTMLGenerator 不再持有常驻实例,可视化产物统一写任务内临时目录后
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# 上传 RustFS 报告键(见 process_file_core)
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# OCC 方案 B:所有几何操作(解析/布尔/三角化/倒扣/转换)经常驻 OCC 进程池,
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# 进程边界干净回收超时/崩溃——替代原线程级单通道 executor(见 OCC_THROUGHPUT.md)
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self._occ_pool = OccProcessPool()
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# ─── 对外入口 ───
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async def run_occ(self, op_name: str, payload: Dict[str, Any],
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timeout: float = 600) -> Any:
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"""在常驻 OCC 工作进程中执行同步几何操作(方案 B)。
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OCC 非线程安全,所有几何计算统一经本入口在独立进程中串行执行;
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超时/进程崩溃由进程池 terminate + 换新补位,干净回收(见 OCC_THROUGHPUT.md)。
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op_name 须已在 occ_worker._OPS 注册;payload 只含文件路径 + 普通字典。
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"""
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return await self._occ_pool.run(op_name, payload, timeout=timeout)
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async def _materialize_source_file(self, stp_file: STPFile) -> Tuple[Path, Optional[Path]]:
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"""把待处理文件落到本地磁盘,返回 (本地路径, 临时目录或 None)。
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RustFS 为主存储:处理方按 object_key 下载到任务专属临时目录
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(文件名保留原始名——下游产物命名依赖 Path(file_path).name)。
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RustFS 不可用或对象缺失时回退 STPFile.file_path 记录的节点本地路径
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(依赖 compose 共享卷,属过渡方案);两者皆不可用则抛错置任务失败。
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"""
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original_name = Path(stp_file.original_filename or "model.stp").name or "model.stp"
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if stp_file.object_key:
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temp_dir = Path(tempfile.mkdtemp(prefix=f"moldinsight_{stp_file.id}_"))
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try:
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data = await rustfs_manager.download_file(
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file_type="stp_files", object_key=stp_file.object_key
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)
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target = temp_dir / original_name
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target.write_bytes(data)
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return target, temp_dir
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except Exception as exc:
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shutil.rmtree(temp_dir, ignore_errors=True)
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logger.warning(
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f"RustFS 源文件下载失败 (object_key={stp_file.object_key}),"
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f"回退节点本地路径: {exc}"
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)
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local = Path(stp_file.file_path) if stp_file.file_path else None
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if local and local.exists():
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return local, None
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raise RuntimeError(
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f"源文件不可用:RustFS 对象 {stp_file.object_key!r} 下载失败,"
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f"且节点本地路径不存在: {stp_file.file_path!r}"
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)
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async def process_file_with_storage(
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self,
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task_id: str,
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stp_file_id: int,
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process_params: Optional[Dict[str, Any]] = None,
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):
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"""处理文件的后台任务 — 使用独立数据库会话
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分派入参只带 stp_file_id(D6):源文件由本方法按 PG 元数据中的
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object_key 从 RustFS 获取,不再依赖分派方传入节点本地路径
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(API 与 Celery worker 容器文件系统不互通)。
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"""
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# 创建独立的数据库会话,避免请求范围会话关闭
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async with db_manager.session() as db_session:
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temp_dir: Optional[Path] = None
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try:
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result = await db_session.execute(
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select(STPFile).where(STPFile.id == stp_file_id)
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)
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stp_file = result.scalar_one_or_none()
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if not stp_file:
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raise RuntimeError(f"STPFile 记录不存在: stp_file_id={stp_file_id}")
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source_path, temp_dir = await self._materialize_source_file(stp_file)
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file_path = str(source_path)
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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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from shared.config.settings import settings
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file_size_bytes = source_path.stat().st_size
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file_size_mb = max(file_size_bytes / (1024 * 1024), 1)
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timeout_seconds = min(
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max(settings.PROCESSING_TIMEOUT_BASE, int(file_size_mb * settings.PROCESSING_TIMEOUT_PER_MB)),
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1800,
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)
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logger.info(f"处理超时设置为 {timeout_seconds}s (文件 {file_size_mb:.1f}MB)")
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try:
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await asyncio.wait_for(
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self.process_file_core(
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task_id, file_path, stp_file_id, db_session, process_params
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),
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timeout_seconds,
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)
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except asyncio.TimeoutError:
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logger.error(f"处理超时: {task_id}")
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# OCC 进程无法取消:整体重建进程池,干净杀掉可能卡死的 OCC 操作
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await self._occ_pool.recover()
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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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# D9:先丢弃未提交的数据本体,失败状态单独提交,
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# 避免 failed 更新把半成品 flush 数据一起带上
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await db_session.rollback()
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await self.task_storage.update_stp_file_status(db_session, stp_file_id, "failed")
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await self.task_storage.update_task_status(
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db_session, task_id, "failed", error_message=str(e)
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)
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# 安全更新 Redis 任务状态(Redis 仅热缓存,写失败不影响 PG 事实)
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task = await redis_task_manager.get_task(task_id)
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if task:
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await redis_task_manager.update_task(task_id, {
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"status": ProcessingStatus.FAILED,
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"error": str(e),
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"completed_at": str(datetime.now()),
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})
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finally:
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# 任务专属临时目录必须清理,长期运行不允许残留下载副本
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if temp_dir:
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shutil.rmtree(temp_dir, ignore_errors=True)
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async def process_file_core(
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self,
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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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process_params: Optional[Dict[str, Any]] = None,
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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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process_params = self._normalize_process_params(process_params)
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stage_timings: Dict[str, float] = {}
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# 1. 解析STP文件
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await self.task_storage.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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stage_started = time.perf_counter()
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# 方案 B:解析 + 几何分析在 OCC 子进程内一步完成(形状不跨进程)
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geometry_data = await self.run_occ(
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"parse_stp", {"stp_path": file_path}, timeout=timeout_seconds
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)
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stage_timings["parse_stp"] = round(time.perf_counter() - stage_started, 3)
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# 2. 生成网格数据并持久化
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await self.task_storage.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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stage_started = time.perf_counter()
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mesh_result = await self._step_generate_mesh(
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geometry_data, file_path, db_session, stp_file_id, task_id,
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timeout=timeout_seconds,
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)
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stage_timings["generate_mesh"] = round(time.perf_counter() - stage_started, 3)
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# 3. 生成模具型腔
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await self.task_storage.update_task_status(
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db_session, task_id, "processing", 40, "生成模具型腔"
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)
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# 材料属性 — 通过 MaterialService 集中管理
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requested_material = MaterialService.resolve_material(process_params["material"])
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selected_material = dict(MaterialService.get_material(requested_material))
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selected_material["shrinkage"] = process_params["shrinkage_rate"] / 100.0
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is_foam_material = MaterialService.is_foam_material(requested_material)
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stage_started = time.perf_counter()
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plan_result, export_artifacts = await self._step_generate_cavity(
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file_path, selected_material, is_foam_material, process_params,
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task_id, timeout=timeout_seconds,
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)
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stage_timings["generate_cavity"] = round(time.perf_counter() - stage_started, 3)
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# 方案 B:各方案形状的持久化 STEP 已由子进程导出并返回 manifest(export_artifacts),
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# 主进程不再持有 TopoDS 引用(无跨进程传输)
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# 4. 生成详细JSON数据 — 委托 CalculationService
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await self.task_storage.update_task_status(
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db_session, task_id, "processing", 60, "生成型腔详细数据"
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)
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stage_started = time.perf_counter()
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detailed_cavity_json = CalculationService.build_plan_result(
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geometry_data=geometry_data,
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material=selected_material,
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file_path=str(file_path),
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plan_result=plan_result,
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)
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stage_timings["build_plan_result"] = round(time.perf_counter() - stage_started, 3)
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best_scheme = CalculationService.get_best_scheme(detailed_cavity_json)
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best_cavity_data = best_scheme.get("cavity_data", {}) if best_scheme else {}
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best_key_info = best_scheme.get("key_info", {}) if best_scheme else {}
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if best_cavity_data.get("mold_cavities"):
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cavity_geometry = best_cavity_data["mold_cavities"].get("cavity", {})
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logger.info(
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f"推荐方案型腔数据已合并: cavity {cavity_geometry.get('vertex_count', 0)} 顶点"
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)
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# 5. 生成关键信息
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cavity_key_info = best_key_info
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# 6. 保存几何数据到数据库
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await self.task_storage.update_task_status(
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db_session, task_id, "processing", 70, "保存几何数据"
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)
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stage_started = time.perf_counter()
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await self.analysis_storage.save_geometry_data(
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db_session,
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stp_file_id,
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geometry_data,
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geometry_data.get("analysis_method", "mold_cavity"),
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)
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# 阶段 A 提交(D9):几何 + 网格原子落库——解析后的确定成果,
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# 后续型腔失败任务标 failed 时这些数据仍完整保留
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await db_session.commit()
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# 7. 生成HTML可视化
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await self.task_storage.update_task_status(
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db_session, task_id, "processing", 85, "生成可视化报告"
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)
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pointcloud_data = None
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lod_data = None
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if mesh_result:
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lod0 = mesh_result.get("lods", {}).get("0", {})
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pointcloud_data = {
|
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"points": mesh_result.get("points", []),
|
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"normals": mesh_result.get("normals", []),
|
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"vertices": lod0.get("vertices", []),
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"faces": lod0.get("faces", []),
|
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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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}
|
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|
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if mesh_result and mesh_result.get("lods"):
|
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lods = mesh_result["lods"]
|
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lod_data = mesh_result
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logger.info(f"LOD数据复用成功: {len(lods)} 级 (面数: {[lods[k]['face_count'] for k in sorted(lods.keys())]})")
|
||
|
||
# D11:可视化产物先写任务内临时目录,再统一上传 RustFS 报告键
|
||
# (html/reports/{filename}),不再落节点本地 html_output——
|
||
# API 与 worker 容器文件系统不互通,本地盘从来不是可依赖的读取来源
|
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html_out_dir = Path(tempfile.mkdtemp(prefix="moldinsight_html_"))
|
||
try:
|
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html_generator = HTMLGenerator(output_dir=str(html_out_dir))
|
||
|
||
detailed_cavity_json = await self._attach_scheme_previews(
|
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detailed_cavity_json=detailed_cavity_json,
|
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geometry_data=geometry_data,
|
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stp_filename=Path(file_path).name,
|
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pointcloud_data=pointcloud_data,
|
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lod_data=lod_data,
|
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html_generator=html_generator,
|
||
)
|
||
|
||
best_scheme = CalculationService.get_best_scheme(detailed_cavity_json)
|
||
best_cavity_data = best_scheme.get("cavity_data", {}) if best_scheme else best_cavity_data
|
||
best_key_info = best_scheme.get("key_info", {}) if best_scheme else best_key_info
|
||
|
||
# 8. 保存模具型腔数据(包含方案级预览链接)
|
||
await self.analysis_storage.save_mold_cavity_data(
|
||
db_session, stp_file_id, detailed_cavity_json
|
||
)
|
||
|
||
html_file_path = html_generator.generate_and_save_visualization(
|
||
geometry_data,
|
||
Path(file_path).name,
|
||
cavity_data=best_cavity_data,
|
||
pointcloud_data=pointcloud_data,
|
||
lod_data=lod_data,
|
||
)
|
||
await self._upload_report_artifacts(Path(html_file_path))
|
||
|
||
await self.analysis_storage.save_html_file(
|
||
db_session,
|
||
stp_file_id,
|
||
Path(html_file_path).name,
|
||
html_file_path,
|
||
)
|
||
finally:
|
||
shutil.rmtree(html_out_dir, ignore_errors=True)
|
||
stage_timings["persist_artifacts"] = round(time.perf_counter() - stage_started, 3)
|
||
|
||
# 9. 分析模具设计
|
||
stage_started = time.perf_counter()
|
||
analysis_result = await self.run_occ(
|
||
"analyze_mold_design",
|
||
{
|
||
"geometry_data": geometry_data,
|
||
"product_material": requested_material,
|
||
"stp_path": file_path,
|
||
},
|
||
timeout=timeout_seconds,
|
||
)
|
||
|
||
if analysis_result:
|
||
await self.analysis_storage.save_features_and_recommendations(
|
||
db_session,
|
||
stp_file_id,
|
||
analysis_result.get("detected_features", []),
|
||
analysis_result.get("design_recommendations", []),
|
||
)
|
||
|
||
await self._save_analysis_metrics(db_session, stp_file_id, analysis_result)
|
||
stage_timings["analyze_design"] = round(time.perf_counter() - stage_started, 3)
|
||
|
||
# 9.6 更新STP文件的分析摘要字段
|
||
await self.task_storage.update_stp_file_analysis_summary(
|
||
db_session,
|
||
stp_file_id,
|
||
volume=geometry_data.get("volume", 0),
|
||
surface_area=geometry_data.get("surface_area", 0),
|
||
product_weight=CalculationService.calculate_product_weight(
|
||
geometry_data.get("volume", 0), selected_material["density"]
|
||
),
|
||
)
|
||
|
||
# 9.65 阶段 B 提交(D9):型腔 / HTML / 特征 / 指标 / 摘要 / 验证指标
|
||
# 作为完整结果包原子落库——置 completed 前必须全部就位,
|
||
# 期间任一步失败回滚后任务标 failed,不会出现"completed 但数据残缺"
|
||
await db_session.commit()
|
||
|
||
# 9.7 FreeCAD 几何验证
|
||
stage_started = time.perf_counter()
|
||
verification_result = await self._step_verify(
|
||
file_path, db_session, task_id, stp_file_id, analysis_result
|
||
)
|
||
stage_timings["verify_geometry"] = round(time.perf_counter() - stage_started, 3)
|
||
|
||
# 9.8 LLM 增强分析
|
||
llm_report = None
|
||
stage_started = time.perf_counter()
|
||
if analysis_result:
|
||
side_action_ai = await llm_service.generate_side_action_analysis(
|
||
analysis_result, detailed_cavity_json
|
||
)
|
||
design_report = await llm_service.generate_design_report(
|
||
analysis_result, detailed_cavity_json
|
||
)
|
||
llm_report = llm_service.compose_llm_report(
|
||
design_report, side_action_ai
|
||
)
|
||
stage_timings["generate_llm_report"] = round(time.perf_counter() - stage_started, 3)
|
||
|
||
# 10. 完成处理——先 flush 任务参数,完成状态提交时一并原子落库(D9)
|
||
await self.task_storage.update_task_parameters(
|
||
db_session,
|
||
task_id,
|
||
{
|
||
"stage_timings": stage_timings,
|
||
"material": requested_material,
|
||
"verification": verification_result,
|
||
"llm_report": llm_report,
|
||
"export_artifacts": export_artifacts,
|
||
**process_params,
|
||
},
|
||
)
|
||
await self.task_storage.update_stp_file_status(db_session, stp_file_id, "completed")
|
||
await self.task_storage.update_task_status(
|
||
db_session, task_id, "completed", 100, "模具型腔生成完成"
|
||
)
|
||
|
||
# 更新任务缓存状态(仅保留轻量摘要,完整数据由PG+RustFS持久化;
|
||
# 完成态视图由 TaskQueryService 从 PG+RustFS 组装,Redis 不再存
|
||
# geometry_data / analysis_result 等 MB 级大对象)
|
||
await redis_task_manager.update_task(task_id, {
|
||
"status": ProcessingStatus.COMPLETED,
|
||
"completed_at": str(datetime.now()),
|
||
"key_info": best_key_info,
|
||
"best_scheme_id": detailed_cavity_json.get("best_scheme_id"),
|
||
"material": requested_material,
|
||
"parameters": process_params,
|
||
"stage_timings": stage_timings,
|
||
"html_file": best_scheme.get("html_file", f"/html/{Path(html_file_path).name}") if best_scheme else f"/html/{Path(html_file_path).name}",
|
||
"verification": verification_result,
|
||
"llm_report": llm_report,
|
||
"export_artifacts": export_artifacts,
|
||
})
|
||
|
||
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}")
|
||
|
||
# D9:先丢弃未提交的数据本体再置失败(同外层说明)
|
||
await db_session.rollback()
|
||
|
||
await self.task_storage.update_stp_file_status(db_session, stp_file_id, "failed")
|
||
await self.task_storage.update_task_status(
|
||
db_session, task_id, "failed", error_message=str(e)
|
||
)
|
||
|
||
task = await redis_task_manager.get_task(task_id)
|
||
if task:
|
||
await redis_task_manager.update_task(task_id, {
|
||
"status": ProcessingStatus.FAILED,
|
||
"error": str(e),
|
||
"completed_at": str(datetime.now()),
|
||
})
|
||
|
||
# ─── 内部步骤 ───
|
||
|
||
async def _step_generate_mesh(
|
||
self, geometry_data: dict, file_path: str,
|
||
db_session: AsyncSession, stp_file_id: int, task_id: str,
|
||
timeout: float = 600,
|
||
) -> Optional[Dict[str, Any]]:
|
||
"""生成多级LOD网格并持久化(方案 B:子进程内一次 OCC 剖分),失败不影响主流程"""
|
||
mesh_result = None
|
||
try:
|
||
mesh_result = await self.run_occ(
|
||
"generate_mesh", {"stp_path": file_path}, timeout=timeout
|
||
)
|
||
|
||
lod0 = mesh_result.get("lods", {}).get("0", {})
|
||
vertices = lod0.get("vertices", [])
|
||
faces = lod0.get("faces", [])
|
||
points = mesh_result.get("points", [])
|
||
normals = mesh_result.get("normals", [])
|
||
point_count = mesh_result.get("point_count", 0)
|
||
vertex_count = lod0.get("vertex_count", mesh_result.get("vertex_count", 0))
|
||
face_count = lod0.get("face_count", mesh_result.get("face_count", 0))
|
||
|
||
if vertices and faces:
|
||
bbox = geometry_data.get("bounding_box", {})
|
||
|
||
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 self.analysis_storage.save_mesh_data(
|
||
db_session,
|
||
stp_file_id=stp_file_id,
|
||
mesh_json=mesh_json,
|
||
quality="medium",
|
||
)
|
||
await redis_task_manager.update_task(task_id, {
|
||
"mesh_summary": {
|
||
"vertex_count": vertex_count,
|
||
"face_count": face_count,
|
||
"point_count": point_count,
|
||
"quality": "medium",
|
||
}
|
||
})
|
||
except Exception as mesh_err:
|
||
logger.warning(f"网格生成或保存失败,不影响主流程: {mesh_err}")
|
||
|
||
return mesh_result
|
||
|
||
async def _step_generate_cavity(
|
||
self, file_path: str, selected_material: dict, is_foam_material: bool,
|
||
process_params: Dict[str, Any], task_id: str, timeout: float = 600,
|
||
) -> Tuple[Dict[str, Any], Optional[Dict[str, Any]]]:
|
||
"""生成多方案分模结果(方案 B:子进程内完成分模 + 方案形状 STEP 导出)。
|
||
|
||
D8:型腔是任务的核心产出,生成失败必须让任务 failed——
|
||
异常直接向编排层传播。返回 (plan_result, export_manifest)。
|
||
"""
|
||
result = await self.run_occ(
|
||
"generate_cavity",
|
||
{
|
||
"stp_path": file_path,
|
||
"task_id": task_id,
|
||
"material": selected_material,
|
||
"is_foam_material": is_foam_material,
|
||
"process_params": process_params,
|
||
"export_out_dir": os.path.abspath(self.cad_exporter.output_dir),
|
||
},
|
||
timeout=timeout,
|
||
)
|
||
plan_result = result["plan_result"]
|
||
logger.info(
|
||
f"多方案分模完成: 生成 {len(plan_result.get('candidate_schemes', []))} 套方案"
|
||
)
|
||
return plan_result, result["export_manifest"]
|
||
|
||
async def regenerate_export_from_persisted(
|
||
self,
|
||
task_id: str,
|
||
scheme_id: str,
|
||
formats: Optional[List[str]],
|
||
components: List[str],
|
||
base_filename: str,
|
||
scheme_files: List[Dict[str, Any]],
|
||
) -> Optional[Dict[str, Any]]:
|
||
"""持久化 STEP 缓存失效(如服务重启)后,从持久化 STEP 重建导出文件。
|
||
|
||
方案 B 后主进程不再持有 TopoDS 形状(导出持久化发生在子进程),
|
||
内存缓存路径已随旧 _cache_export_shapes/get_export_shapes 一并删除;
|
||
本方法读回单组件 STEP 现场转换缺失格式,用户无需重新分析。
|
||
所有组件均不可用时返回 None。
|
||
"""
|
||
format_list = list(dict.fromkeys(formats or ["step", "stl"]))
|
||
step_files = {
|
||
f.get("component"): f
|
||
for f in scheme_files or []
|
||
if f.get("format") == "step" and f.get("component")
|
||
}
|
||
if not step_files:
|
||
return None
|
||
|
||
files: List[Dict[str, Any]] = []
|
||
errors: List[str] = []
|
||
|
||
if "step" in format_list:
|
||
assembly = step_files.get("assembly")
|
||
if assembly:
|
||
files.append(assembly)
|
||
else:
|
||
errors.append("模具装配体 (step) 不可用")
|
||
|
||
for comp in components:
|
||
comp_file = step_files.get(comp)
|
||
if comp_file is None:
|
||
errors.append(f"组件 {comp} 的持久化 STEP 不可用")
|
||
continue
|
||
for fmt in format_list:
|
||
if fmt == "step":
|
||
files.append(comp_file)
|
||
continue
|
||
step_path = os.path.join(
|
||
self.cad_exporter.output_dir,
|
||
str(comp_file.get("relative_path") or "").replace("/", os.sep),
|
||
)
|
||
out_path = os.path.join(
|
||
os.path.dirname(step_path), f"{base_filename}_{comp}.{fmt}"
|
||
)
|
||
ok = await self.run_occ(
|
||
"convert_component_step",
|
||
{"step_path": str(step_path), "out_path": str(out_path), "fmt": fmt},
|
||
)
|
||
if ok:
|
||
files.append(
|
||
self.cad_exporter.build_file_entry(comp, fmt, out_path)
|
||
)
|
||
else:
|
||
errors.append(f"组件 {comp} ({fmt}) 转换失败")
|
||
|
||
if not files:
|
||
return None
|
||
|
||
return {
|
||
"base_filename": base_filename,
|
||
"task_id": task_id,
|
||
"scheme_id": scheme_id,
|
||
"files": files,
|
||
"errors": errors,
|
||
"total_files": len(files),
|
||
"total_errors": len(errors),
|
||
"source": "regenerated",
|
||
}
|
||
|
||
@staticmethod
|
||
def _normalize_process_params(process_params: Optional[Dict[str, Any]]) -> Dict[str, Any]:
|
||
payload = dict(process_params or {})
|
||
return {
|
||
"material": MaterialService.resolve_material(str(payload.get("material", "ABS"))),
|
||
"draft_angle": float(payload.get("draft_angle", 2.0)),
|
||
"shrinkage_rate": float(payload.get("shrinkage_rate", 0.5)),
|
||
"parting_precision": float(payload.get("parting_precision", 0.1)),
|
||
"cavity_match": int(payload.get("cavity_match", 95)),
|
||
}
|
||
|
||
async def _step_verify(
|
||
self, file_path: str, db_session: AsyncSession,
|
||
task_id: str, stp_file_id: int, analysis_result: Optional[dict],
|
||
) -> Optional[Dict[str, Any]]:
|
||
"""FreeCAD 几何验证(可通过配置禁用)"""
|
||
from shared.config.settings import settings
|
||
|
||
if not settings.ENABLE_FREECAD_VERIFICATION:
|
||
logger.info("FreeCAD验证已禁用(设置 ENABLE_FREECAD_VERIFICATION=true 启用)")
|
||
return {"status": "disabled", "reason": "FreeCAD验证已禁用"}
|
||
|
||
await self.task_storage.update_task_status(
|
||
db_session, task_id, "processing", 90, "FreeCAD几何验证"
|
||
)
|
||
|
||
try:
|
||
from moldinsight.services.verification_service import GeometryVerificationService
|
||
verification_svc = GeometryVerificationService(timeout=settings.FREECAD_VERIFICATION_TIMEOUT)
|
||
verification_result = await verification_svc.verify_stp_file(file_path)
|
||
|
||
if verification_result and analysis_result:
|
||
await self._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'}")
|
||
return verification_result
|
||
except Exception as ve:
|
||
logger.warning(f"FreeCAD验证失败(不影响主流程): {ve}")
|
||
return {"status": "error", "error": str(ve)}
|
||
|
||
async def _attach_scheme_previews(
|
||
self,
|
||
detailed_cavity_json: Dict[str, Any],
|
||
geometry_data: Dict[str, Any],
|
||
stp_filename: str,
|
||
pointcloud_data: Optional[Dict[str, Any]] = None,
|
||
lod_data: Optional[Dict[str, Any]] = None,
|
||
html_generator: HTMLGenerator = None,
|
||
) -> Dict[str, Any]:
|
||
"""为候选分模方案生成轻量摘要链接(完整HTML仅最优方案按需生成)"""
|
||
if html_generator is None:
|
||
raise ValueError(
|
||
"html_generator 不能为空(D11:摘要产物统一经任务临时目录上传 RustFS)"
|
||
)
|
||
candidate_schemes = detailed_cavity_json.get("candidate_schemes", [])
|
||
if not candidate_schemes:
|
||
return detailed_cavity_json
|
||
|
||
for scheme in candidate_schemes:
|
||
cavity_data = scheme.get("cavity_data")
|
||
if not cavity_data:
|
||
continue
|
||
suffix = scheme.get("scheme_id")
|
||
base_stem = Path(stp_filename).stem.replace(" ", "_")
|
||
ts = datetime.now().strftime("%Y%m%d_%H%M%S")
|
||
summary_name = f"mold_{base_stem}_{suffix}_{ts}_summary.json"
|
||
summary_content = html_generator.generate_3d_viewer_summary(
|
||
geometry_data, cavity_data
|
||
)
|
||
# D11:摘要 JSON 写任务临时目录后直传 RustFS 报告键,不落本地 html_output
|
||
summary_path = html_generator.save_data_file(summary_content, summary_name)
|
||
await rustfs_manager.upload_report_artifact(
|
||
summary_name, Path(summary_path).read_bytes(),
|
||
content_type="application/json",
|
||
)
|
||
scheme["summary_file"] = f"/html/{summary_name}"
|
||
|
||
best_scheme = CalculationService.get_best_scheme(detailed_cavity_json)
|
||
if best_scheme:
|
||
detailed_cavity_json["html_file"] = best_scheme.get("html_file")
|
||
|
||
return detailed_cavity_json
|
||
|
||
async def _upload_report_artifacts(self, html_file_path: Path):
|
||
"""D11:任务临时目录中的可视化产物(.html / _summary.json / _data.json)
|
||
上传 RustFS 报告键(html/reports/{filename})。
|
||
|
||
HTML 内嵌相对 DATA_URL/SUMMARY_URL 引用两个 JSON,
|
||
三者必须同键前缀可达(读侧 /html/{filename} 直取)。
|
||
"""
|
||
stem = html_file_path.with_suffix("")
|
||
artifacts = [
|
||
(html_file_path, "text/html; charset=utf-8"),
|
||
(stem.with_name(stem.name + "_summary.json"), "application/json"),
|
||
(stem.with_name(stem.name + "_data.json"), "application/json"),
|
||
]
|
||
for path, content_type in artifacts:
|
||
if not path.exists():
|
||
raise RuntimeError(f"可视化产物缺失: {path.name}")
|
||
await rustfs_manager.upload_report_artifact(
|
||
path.name, path.read_bytes(), content_type=content_type
|
||
)
|
||
|
||
# ─── 指标持久化 ───
|
||
|
||
async def _save_analysis_metrics(self, session: AsyncSession, stp_file_id: int, analysis_result: dict):
|
||
"""保存分析指标到数据库"""
|
||
from moldinsight.models import AnalysisMetrics
|
||
|
||
quality_metrics = analysis_result.get("quality_metrics", {})
|
||
analysis_summary = analysis_result.get("analysis_summary", "")
|
||
|
||
metrics = AnalysisMetrics(
|
||
stp_file_id=stp_file_id,
|
||
volume_utilization=quality_metrics.get("volume_utilization", 0),
|
||
topology_complexity=quality_metrics.get("topology_complexity", 0),
|
||
wall_uniformity=quality_metrics.get("wall_uniformity", 0),
|
||
analysis_summary=analysis_summary,
|
||
)
|
||
|
||
session.add(metrics)
|
||
# D9:flush 不 commit,随结果包(阶段 B)由编排层统一提交
|
||
await session.flush()
|
||
logger.info(f"分析指标保存成功: {metrics.id}")
|
||
|
||
async def _save_verification_metrics(self, session: AsyncSession, stp_file_id: int, verification_result: dict):
|
||
"""保存验证指标到数据库"""
|
||
from moldinsight.models import AnalysisMetrics
|
||
from sqlalchemy import select
|
||
|
||
result = await session.execute(
|
||
select(AnalysisMetrics).where(AnalysisMetrics.stp_file_id == stp_file_id)
|
||
)
|
||
metrics = result.scalar_one_or_none()
|
||
|
||
comparison = verification_result.get("comparison", {})
|
||
volume_comparison = comparison.get("volume", {})
|
||
area_comparison = comparison.get("surface_area", {})
|
||
|
||
if metrics:
|
||
metrics.verification_status = verification_result.get("status", "unknown")
|
||
metrics.verification_volume_diff = volume_comparison.get("difference_percent", 0)
|
||
metrics.verification_area_diff = area_comparison.get("difference_percent", 0)
|
||
metrics.verification_details = verification_result
|
||
else:
|
||
metrics = AnalysisMetrics(
|
||
stp_file_id=stp_file_id,
|
||
verification_status=verification_result.get("status", "unknown"),
|
||
verification_volume_diff=volume_comparison.get("difference_percent", 0),
|
||
verification_area_diff=area_comparison.get("difference_percent", 0),
|
||
verification_details=verification_result,
|
||
)
|
||
session.add(metrics)
|
||
|
||
# D9:flush 不 commit,随结果包(阶段 B)由编排层统一提交
|
||
await session.flush()
|
||
logger.info(f"验证指标保存成功: stp_file_id={stp_file_id}")
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||
|
||
|
||
# 模块级单例,供路由层直接使用
|
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processing_service = ProcessingService()
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