# services/storage_integration_rustfs.py """存储集成服务 - 协调 PostgreSQL 和 RustFS""" from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy import select, update from pathlib import Path from typing import Optional, Dict, Any import json from datetime import datetime from models.database import ( STPFile, GeometryData, MeshData, MoldCavityData, HTMLFile, ProcessingTask, User, FeatureDetection, DesignRecommendation, UserActivity, SystemLog ) from storage.rustfs_storage import rustfs_manager from utils.logger import get_logger logger = get_logger(__name__) class StorageIntegrationService: """存储集成服务 - PostgreSQL + RustFS""" async def save_stp_file(self, session: AsyncSession, file_path: Path, original_filename: str, user_id: Optional[int] = None) -> STPFile: """保存STP文件到PostgreSQL元数据 + RustFS对象存储""" # 1. 上传到RustFS upload_result = await rustfs_manager.upload_file( file_type='stp_files', file_path=file_path, original_filename=original_filename, metadata={ 'original_filename': original_filename, 'user_id': str(user_id) if user_id else 'anonymous' } ) file_hash = upload_result['file_hash'] # 2. 检查是否已存在相同文件 existing_file = await session.execute( select(STPFile).where(STPFile.file_hash == file_hash) ) existing_file = existing_file.scalar_one_or_none() if existing_file: logger.info(f"文件已存在，返回现有记录: {existing_file.id}") return existing_file # 3. 创建新PostgreSQL记录 stp_file = STPFile( user_id=user_id, object_key=upload_result['object_key'], storage_bucket=upload_result['bucket'], original_filename=original_filename, file_size=upload_result['file_size'], file_hash=file_hash, status="uploaded", file_path=str(file_path) # 保留本地路径以兼容 ) session.add(stp_file) await session.commit() await session.refresh(stp_file) logger.info(f"STP文件保存成功 RustFS: {stp_file.id}") return stp_file async def create_processing_task(self, session: AsyncSession, task_id: str, stp_file_id: int, task_type: str = "stp_parsing") -> ProcessingTask: """创建处理任务记录""" try: task = ProcessingTask( task_id=task_id, stp_file_id=stp_file_id, task_type=task_type, status="pending", started_time=datetime.now() ) session.add(task) await session.commit() await session.refresh(task) logger.info(f"处理任务创建成功: {task_id}") return task except Exception as e: await session.rollback() logger.error(f"创建处理任务失败: {e}") raise async def update_task_status( self, session: AsyncSession, task_id: str, status: str, progress: Optional[int] = None, current_step: Optional[str] = None, error_message: Optional[str] = None ): """更新任务状态""" try: update_data = { "status": status, "completed_time": datetime.now() if status in ["completed", "failed"] else None, "error_message": error_message } if progress is not None: update_data["progress"] = progress if current_step is not None: update_data["current_step"] = current_step await session.execute( update(ProcessingTask) .where(ProcessingTask.task_id == task_id) .values(**update_data) ) await session.commit() logger.info(f"任务状态更新: {task_id} -> {status}") except Exception as e: await session.rollback() logger.error(f"更新任务状态失败: {e}") raise async def update_stp_file_status(self, session: AsyncSession, stp_file_id: int, status: str): """更新STP文件状态""" try: await session.execute( update(STPFile) .where(STPFile.id == stp_file_id) .values( status=status, processed_time=datetime.now() if status in ["completed", "failed"] else None ) ) await session.commit() logger.info(f"STP文件状态更新: ID {stp_file_id} -> {status}") except Exception as e: await session.rollback() logger.error(f"更新STP文件状态失败: {e}") raise async def save_geometry_data(self, session: AsyncSession, stp_file_id: int, geometry_json: Dict[str, Any], analysis_method: str = "pythonocc") -> GeometryData: """保存几何数据到PostgreSQL元数据 + RustFS对象存储""" # 1. 获取文件哈希 stp_file = await session.get(STPFile, stp_file_id) file_hash = stp_file.file_hash # 2. 上传到RustFS upload_result = await rustfs_manager.upload_json_data( file_type='geometry_data', json_data=geometry_json, file_hash=file_hash ) # 3. 提取几何数据 if 'geometry_data' in geometry_json: geo_data = geometry_json['geometry_data'] else: geo_data = geometry_json # 4. 创建PostgreSQL记录 geometry_data = GeometryData( stp_file_id=stp_file_id, object_key=upload_result['object_key'], storage_bucket=upload_result['bucket'], analysis_method=analysis_method, # 提取摘要字段 volume=geo_data.get('volume'), surface_area=geo_data.get('surface_area'), bounding_box_min=geo_data.get('bounding_box', {}).get('min'), bounding_box_max=geo_data.get('bounding_box', {}).get('max'), center_of_mass=geo_data.get('center_of_mass'), topology_faces=geo_data.get('topology', {}).get('faces'), topology_edges=geo_data.get('topology', {}).get('edges'), topology_vertices=geo_data.get('topology', {}).get('vertices') ) session.add(geometry_data) await session.commit() await session.refresh(geometry_data) logger.info(f"几何数据保存成功 RustFS: {geometry_data.id}") return geometry_data async def save_mesh_data( self, session: AsyncSession, stp_file_id: int, mesh_json: Dict[str, Any], quality: str = "medium" ) -> MeshData: """保存网格数据到 PostgreSQL 元数据 + RustFS 对象存储 mesh_json 为完整网格 JSON（顶点、面、点云等）， PostgreSQL 只存 object_key 和一些摘要字段，详细数据放在 RustFS。 """ # 1. 获取文件哈希 stp_file = await session.get(STPFile, stp_file_id) file_hash = stp_file.file_hash # 2. 上传网格 JSON 到 RustFS upload_result = await rustfs_manager.upload_json_data( file_type='mesh_data', json_data=mesh_json, file_hash=file_hash ) # 3. 提取摘要信息 mesh_section = mesh_json.get('mesh', {}) pointcloud_section = mesh_json.get('pointcloud', {}) bbox = mesh_json.get('bounding_box', {}) vertices = mesh_section.get('vertices') or [] faces = mesh_section.get('faces') or [] vertex_count = len(vertices) face_count = len(faces) point_count = pointcloud_section.get('count') # 4. 创建 PostgreSQL 记录 mesh_data = MeshData( stp_file_id=stp_file_id, object_key=upload_result['object_key'], storage_bucket=upload_result['bucket'], quality=quality, vertex_count=vertex_count, face_count=face_count, point_count=point_count, bounding_box_min=bbox.get('min'), bounding_box_max=bbox.get('max') ) session.add(mesh_data) await session.commit() await session.refresh(mesh_data) logger.info(f"网格数据保存成功 RustFS: {mesh_data.id}") return mesh_data async def save_mold_cavity_data(self, session: AsyncSession, stp_file_id: int, cavity_json: Dict[str, Any]) -> MoldCavityData: """保存模具型腔数据到PostgreSQL元数据 + RustFS对象存储""" # 1. 获取文件哈希 stp_file = await session.get(STPFile, stp_file_id) file_hash = stp_file.file_hash # 2. 上传到RustFS upload_result = await rustfs_manager.upload_json_data( file_type='mold_cavities', json_data=cavity_json, file_hash=file_hash ) # 3. 提取关键信息 metadata = cavity_json.get('metadata', {}) product_analysis = cavity_json.get('product_analysis', {}) manufacturing_info = cavity_json.get('manufacturing_info', {}) mold_size = manufacturing_info.get('estimated_mold_size', {}) key_info = cavity_json.get('mold_cavities', {}).get('cavity_key_info', {}) # 4. 创建PostgreSQL记录 mold_cavity = MoldCavityData( stp_file_id=stp_file_id, detailed_object_key=upload_result['object_key'], storage_bucket=upload_result['bucket'], # 模具参数 mold_material=manufacturing_info.get('recommended_material', 'Aluminum Alloy 7075'), shrinkage_rate=metadata.get('shrinkage_rate', 0.005), draft_angle=metadata.get('draft_angle', 2.0), # 提取的摘要字段 cavity_key_info=key_info, mold_size_length=mold_size.get('length'), mold_size_width=mold_size.get('width'), mold_size_height=mold_size.get('height'), estimated_clamping_force=manufacturing_info.get('estimated_clamping_force'), product_volume=product_analysis.get('volume'), # 从key_info中提取（如果存在） product_weight=key_info.get('geometric_characteristics', {}).get('product_weight'), wall_thickness_range=key_info.get('geometric_characteristics', {}).get('wall_thickness_range'), complexity_score=key_info.get('geometric_characteristics', {}).get('complexity_score'), # 质量评估 weld_line_risk=key_info.get('quality_considerations', {}).get('potential_weld_lines'), sink_mark_risk=key_info.get('quality_considerations', {}).get('sink_mark_areas'), warpage_risk=key_info.get('quality_considerations', {}).get('warpage_risk') ) session.add(mold_cavity) await session.commit() await session.refresh(mold_cavity) logger.info(f"模具型腔数据保存成功 RustFS: {mold_cavity.id}") return mold_cavity async def save_html_file(self, session: AsyncSession, stp_file_id: int, filename: str, file_path: str, html_content: Optional[str] = None, visualization_type: str = "3d_viewer") -> HTMLFile: """保存HTML文件到PostgreSQL元数据 + RustFS对象存储""" # 1. 获取文件哈希 stp_file = await session.get(STPFile, stp_file_id) file_hash = stp_file.file_hash # 2. 读取HTML内容（如果未提供） if html_content is None: try: with open(file_path, 'r', encoding='utf-8') as f: html_content = f.read() except Exception as e: logger.error(f"读取HTML文件失败: {e}") html_content = "" # 3. 上传到RustFS html_json = {'content': html_content, 'filename': filename} upload_result = await rustfs_manager.upload_json_data( file_type='html_files', json_data=html_json, file_hash=file_hash ) # 4. 创建PostgreSQL记录 html_file = HTMLFile( stp_file_id=stp_file_id, object_key=upload_result['object_key'], storage_bucket=upload_result['bucket'], filename=filename, file_path=file_path, # 保留本地路径 html_content=html_content, # 保留内容以兼容 visualization_type=visualization_type ) session.add(html_file) await session.commit() await session.refresh(html_file) logger.info(f"HTML文件保存成功 RustFS: {html_file.id}") return html_file async def save_features_and_recommendations( self, session: AsyncSession, stp_file_id: int, features: list, recommendations: list ): """保存特征检测结果和设计建议""" # 1. 保存特征 for feature in features: feature_record = FeatureDetection( stp_file_id=stp_file_id, feature_type=feature.get('feature_type'), confidence=feature.get('confidence'), location=feature.get('location'), dimensions=feature.get('dimensions'), parameters=feature.get('parameters') ) session.add(feature_record) # 2. 保存建议 for rec in recommendations: rec_record = DesignRecommendation( stp_file_id=stp_file_id, rec_type=rec.get('type') or rec.get('rec_type'), priority=rec.get('priority'), description=rec.get('description'), reason=rec.get('reason'), parameters=rec.get('parameters') ) session.add(rec_record) await session.commit() logger.info(f"保存了 {len(features)} 个特征和 {len(recommendations)} 个建议") async def log_user_activity(self, session: AsyncSession, user_id: int, activity_type: str, resource_type: Optional[str] = None, resource_id: Optional[int] = None, description: Optional[str] = None, metadata: Optional[Dict] = None, ip_address: Optional[str] = None, user_agent: Optional[str] = None): """记录用户活动""" activity = UserActivity( user_id=user_id, activity_type=activity_type, resource_type=resource_type, resource_id=resource_id, description=description, metadata=metadata, ip_address=ip_address, user_agent=user_agent ) session.add(activity) await session.commit() logger.debug(f"用户活动记录: {activity_type} by user {user_id}") async def get_stp_file_with_data(self, session: AsyncSession, stp_file_id: int) -> Dict[str, Any]: """获取STP文件及其所有关联数据""" # 1. 获取STP文件记录 stp_file = await session.get(STPFile, stp_file_id) if not stp_file: raise ValueError(f"STP文件不存在: {stp_file_id}") result = { 'metadata': { 'id': stp_file.id, 'original_filename': stp_file.original_filename, 'file_size': stp_file.file_size, 'file_hash': stp_file.file_hash, 'upload_time': stp_file.upload_time.isoformat() if stp_file.upload_time else None, 'status': stp_file.status, 'user_id': stp_file.user_id }, 'geometry_data': None, 'mesh_data': None, 'mold_cavity_data': None, 'html_content': None, 'features': [], 'recommendations': [], 'analysis_metrics': None # 新增分析指标字段 } # 2. 从RustFS获取数据 try: # 几何数据 if stp_file.geometry_data: geo_data_bytes = await rustfs_manager.download_file( file_type='geometry_data', object_key=stp_file.geometry_data.object_key ) result['geometry_data'] = json.loads(geo_data_bytes.decode('utf-8')) # 模具型腔数据 if stp_file.mold_cavity_data: cavity_data_bytes = await rustfs_manager.download_file( file_type='mold_cavities', object_key=stp_file.mold_cavity_data.detailed_object_key ) result['mold_cavity_data'] = json.loads(cavity_data_bytes.decode('utf-8')) # 网格数据 if stp_file.mesh_data: mesh_bytes = await rustfs_manager.download_file( file_type='mesh_data', object_key=stp_file.mesh_data.object_key ) result['mesh_data'] = json.loads(mesh_bytes.decode('utf-8')) # HTML文件 if stp_file.html_file: html_bytes = await rustfs_manager.download_file( file_type='html_files', object_key=stp_file.html_file.object_key ) html_json = json.loads(html_bytes.decode('utf-8')) result['html_content'] = html_json.get('content', '') except Exception as e: logger.error(f"从RustFS获取数据失败: {e}") # 3. 从PostgreSQL获取特征和建议 features = await session.execute( select(FeatureDetection).where(FeatureDetection.stp_file_id == stp_file_id) ) result['features'] = [ { 'feature_type': f.feature_type, 'confidence': f.confidence, 'location': f.location, 'dimensions': f.dimensions, 'parameters': f.parameters } for f in features.scalars().all() ] recommendations = await session.execute( select(DesignRecommendation).where(DesignRecommendation.stp_file_id == stp_file_id) ) result['recommendations'] = [ { 'type': r.rec_type, # 改为 type 以匹配前端期望的字段名 'priority': r.priority, 'description': r.description, 'reason': r.reason, 'parameters': r.parameters } for r in recommendations.scalars().all() ] # 4. 获取分析指标 if stp_file.analysis_metrics: result['analysis_metrics'] = { 'volume_utilization': stp_file.analysis_metrics.volume_utilization, 'topology_complexity': stp_file.analysis_metrics.topology_complexity, 'wall_uniformity': stp_file.analysis_metrics.wall_uniformity, 'analysis_summary': stp_file.analysis_metrics.analysis_summary } return result async def delete_stp_file_cascade(self, session: AsyncSession, stp_file_id: int): """级联删除STP文件及其所有关联数据""" stp_file = await session.get(STPFile, stp_file_id) if not stp_file: raise ValueError(f"STP文件不存在: {stp_file_id}") # 1. 删除RustFS中的文件 try: if stp_file.object_key: await rustfs_manager.delete_file('stp_files', stp_file.object_key) except Exception as e: logger.error(f"删除RustFS文件失败: {e}") try: if stp_file.geometry_data: await rustfs_manager.delete_file('geometry_data', stp_file.geometry_data.object_key) except Exception as e: logger.error(f"删除几何数据失败: {e}") try: if stp_file.mold_cavity_data: await rustfs_manager.delete_file('mold_cavities', stp_file.mold_cavity_data.detailed_object_key) except Exception as e: logger.error(f"删除型腔数据失败: {e}") try: if stp_file.mesh_data: await rustfs_manager.delete_file('mesh_data', stp_file.mesh_data.object_key) except Exception as e: logger.error(f"删除网格数据失败: {e}") try: if stp_file.html_file: await rustfs_manager.delete_file('html_files', stp_file.html_file.object_key) except Exception as e: logger.error(f"删除HTML文件失败: {e}") # 2. 级联删除PostgreSQL记录（通过外键自动处理） await session.delete(stp_file) await session.commit() logger.info(f"STP文件及其关联数据已删除: {stp_file_id}") # 全局存储集成服务实例 storage_integration = StorageIntegrationService()