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cjw
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# Services 模块
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# services/storage_integration.py
"""存储集成服务 - 协调 PostgreSQL 和 MinIO"""
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select
from pathlib import Path
from typing import Optional, Dict, Any
import json
from models.database import (
STPFile, GeometryData, MoldCavityData,
HTMLFile, ProcessingTask, User,
FeatureDetection, DesignRecommendation,
UserActivity, SystemLog
)
from storage.object_storage import storage_manager
from utils.logger import get_logger
logger = get_logger(__name__)
class StorageIntegrationService:
"""存储集成服务"""
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 + MinIO对象存储"""
# 1. 上传到MinIO
upload_result = await storage_manager.upload_stp_file(
file_path,
original_filename
)
# 2. 创建PostgreSQL记录
stp_file = STPFile(
user_id=user_id,
object_key=upload_result['object_key'],
storage_bucket=storage_manager.buckets['stp_files'],
original_filename=original_filename,
file_size=upload_result['file_size'],
file_hash=upload_result['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: {stp_file.id}")
return stp_file
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 + MinIO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MinIO
upload_result = await storage_manager.upload_geometry_data(
geometry_json,
file_hash
)
# 3. 创建PostgreSQL记录
geometry_data = GeometryData(
stp_file_id=stp_file_id,
object_key=upload_result['object_key'],
storage_bucket=storage_manager.buckets['geometry_data'],
analysis_method=analysis_method,
# 提取摘要字段
volume=geometry_json.get('geometry_data', {}).get('volume'),
surface_area=geometry_json.get('geometry_data', {}).get('surface_area'),
bounding_box_min=geometry_json.get('geometry_data', {}).get('bounding_box', {}).get('min'),
bounding_box_max=geometry_json.get('geometry_data', {}).get('bounding_box', {}).get('max'),
center_of_mass=geometry_json.get('geometry_data', {}).get('center_of_mass'),
topology_faces=geometry_json.get('geometry_data', {}).get('topology', {}).get('faces'),
topology_edges=geometry_json.get('geometry_data', {}).get('topology', {}).get('edges'),
topology_vertices=geometry_json.get('geometry_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: {geometry_data.id}")
return geometry_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 + MinIO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MinIO
upload_result = await storage_manager.upload_mold_cavity_data(
cavity_json,
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=storage_manager.buckets['mold_cavities'],
# 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: {mold_cavity.id}")
return mold_cavity
async def save_html_file(self, session: AsyncSession,
stp_file_id: int,
html_content: str,
filename: str) -> HTMLFile:
"""保存HTML文件到PostgreSQL元数据 + MinIO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MinIO
upload_result = await storage_manager.upload_html_file(
html_content,
filename,
file_hash
)
# 3. 创建PostgreSQL记录
html_file = HTMLFile(
stp_file_id=stp_file_id,
object_key=upload_result['object_key'],
storage_bucket=storage_manager.buckets['html_files'],
filename=filename,
file_path=str(Path('html_output') / filename), # 保留本地路径
html_content=html_content # 保留内容以兼容
)
session.add(html_file)
await session.commit()
await session.refresh(html_file)
logger.info(f"HTML文件保存成功: {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('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,
'mold_cavity_data': None,
'html_file': None,
'features': [],
'recommendations': []
}
# 2. 从MinIO获取数据
try:
# 几何数据
if stp_file.geometry_data:
geo_data_bytes = await storage_manager.download_file(
'geometry_data',
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 storage_manager.download_file(
'mold_cavities',
stp_file.mold_cavity_data.detailed_object_key
)
result['mold_cavity_data'] = json.loads(cavity_data_bytes.decode('utf-8'))
# HTML文件
if stp_file.html_file:
html_bytes = await storage_manager.download_file(
'html_files',
stp_file.html_file.object_key
)
result['html_content'] = html_bytes.decode('utf-8')
except Exception as e:
logger.error(f"从MinIO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'] = [
{
'rec_type': r.rec_type,
'priority': r.priority,
'description': r.description,
'reason': r.reason,
'parameters': r.parameters
}
for r in recommendations.scalars().all()
]
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MinIO中的文件
try:
if stp_file.object_key:
await storage_manager.delete_file('stp_files', stp_file.object_key)
except Exception as e:
logger.error(f"删除MinIO文件失败: {e}")
try:
if stp_file.geometry_data:
await storage_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 storage_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.html_file:
await storage_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()
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# 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, 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_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('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,
'mold_cavity_data': None,
'html_content': None,
'features': [],
'recommendations': []
}
# 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'))
# 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'] = [
{
'rec_type': r.rec_type,
'priority': r.priority,
'description': r.description,
'reason': r.reason,
'parameters': r.parameters
}
for r in recommendations.scalars().all()
]
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.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()
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# services/storage_service.py
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, update
from datetime import datetime
import hashlib
import json
from pathlib import Path
from typing import Optional, Dict, Any
from models.database import STPFile, GeometryData, HTMLFile, ProcessingTask
from utils.logger import get_logger
from models.database import MoldCavityData
logger = get_logger(__name__)
class StorageService:
"""数据存储服务"""
def __init__(self, db_session: AsyncSession):
self.db_session = db_session
async def save_stp_file(
self,
filename: str,
file_path: str,
file_size: int,
file_content: Optional[bytes] = None
) -> STPFile:
"""保存STP文件信息到数据库"""
try:
# 计算文件哈希
file_hash = self._calculate_file_hash(file_path, file_content)
# 检查是否已存在相同文件
existing_file = await self.db_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,跳过保存: {filename}")
return existing_file
# 创建新的STP文件记录
stp_file = STPFile(
filename=filename,
original_filename=filename,
file_path=file_path,
file_size=file_size,
file_hash=file_hash,
file_content=file_content,
upload_time=datetime.now(),
status="pending",
# 必填字段提供默认值
object_key=f"stp_files/{file_hash}",
storage_bucket="default",
object_url=None
)
self.db_session.add(stp_file)
await self.db_session.commit()
await self.db_session.refresh(stp_file)
logger.info(f"STP文件保存成功: {filename} (ID: {stp_file.id})")
return stp_file
except Exception as e:
await self.db_session.rollback()
logger.error(f"保存STP文件失败: {e}")
raise
async def save_geometry_data(
self,
stp_file_id: int,
geometry_json: Dict[str, Any],
analysis_method: str
) -> GeometryData:
"""保存几何数据JSON到数据库"""
try:
# 提取关键几何属性用于快速查询
volume = geometry_json.get("volume")
surface_area = geometry_json.get("surface_area")
bounding_box = geometry_json.get("bounding_box", {})
geometry_data = GeometryData(
stp_file_id=stp_file_id,
analysis_method=analysis_method,
volume=volume,
surface_area=surface_area,
bounding_box_min=bounding_box.get("min"),
bounding_box_max=bounding_box.get("max"),
created_time=datetime.now(),
# 必填字段提供默认值
object_key=f"geometry_data/{stp_file_id}",
storage_bucket="default",
object_url=None
)
self.db_session.add(geometry_data)
await self.db_session.commit()
await self.db_session.refresh(geometry_data)
logger.info(f"几何数据保存成功: STP文件ID {stp_file_id}")
return geometry_data
except Exception as e:
await self.db_session.rollback()
logger.error(f"保存几何数据失败: {e}")
raise
async def save_html_file(
self,
stp_file_id: int,
filename: str,
file_path: str,
html_content: Optional[str] = None,
visualization_type: str = "3d_viewer"
) -> HTMLFile:
"""保存HTML文件信息到数据库"""
try:
html_file = HTMLFile(
stp_file_id=stp_file_id,
filename=filename,
file_path=file_path,
html_content=html_content,
visualization_type=visualization_type,
has_interactive_elements=True,
generated_time=datetime.now(),
# 必填字段提供默认值
object_key=f"html_files/{stp_file_id}",
storage_bucket="default",
object_url=None
)
self.db_session.add(html_file)
await self.db_session.commit()
await self.db_session.refresh(html_file)
logger.info(f"HTML文件保存成功: {filename} (STP文件ID: {stp_file_id})")
return html_file
except Exception as e:
await self.db_session.rollback()
logger.error(f"保存HTML文件失败: {e}")
raise
async def create_processing_task(
self,
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()
)
self.db_session.add(task)
await self.db_session.commit()
await self.db_session.refresh(task)
logger.info(f"处理任务创建成功: {task_id}")
return task
except Exception as e:
await self.db_session.rollback()
logger.error(f"创建处理任务失败: {e}")
raise
async def update_task_status(
self,
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 self.db_session.execute(
update(ProcessingTask)
.where(ProcessingTask.task_id == task_id)
.values(**update_data)
)
await self.db_session.commit()
logger.info(f"任务状态更新: {task_id} -> {status}")
except Exception as e:
await self.db_session.rollback()
logger.error(f"更新任务状态失败: {e}")
raise
async def update_stp_file_status(self, stp_file_id: int, status: str):
"""更新STP文件状态"""
try:
await self.db_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 self.db_session.commit()
logger.info(f"STP文件状态更新: ID {stp_file_id} -> {status}")
except Exception as e:
await self.db_session.rollback()
logger.error(f"更新STP文件状态失败: {e}")
raise
async def get_stp_file_by_id(self, stp_file_id: int) -> Optional[STPFile]:
"""根据ID获取STP文件"""
try:
result = await self.db_session.execute(
select(STPFile).where(STPFile.id == stp_file_id)
)
return result.scalar_one_or_none()
except Exception as e:
logger.error(f"获取STP文件失败: {e}")
return None
async def get_geometry_data_by_stp_file_id(self, stp_file_id: int) -> Optional[GeometryData]:
"""根据STP文件ID获取几何数据"""
try:
result = await self.db_session.execute(
select(GeometryData).where(GeometryData.stp_file_id == stp_file_id)
)
return result.scalar_one_or_none()
except Exception as e:
logger.error(f"获取几何数据失败: {e}")
return None
def _calculate_file_hash(self, file_path: str, file_content: Optional[bytes] = None) -> str:
"""计算文件哈希值"""
sha256_hash = hashlib.sha256()
if file_content:
sha256_hash.update(file_content)
else:
# 从文件路径读取内容计算哈希
with open(file_path, "rb") as f:
for chunk in iter(lambda: f.read(4096), b""):
sha256_hash.update(chunk)
return sha256_hash.hexdigest()
async def save_mold_cavity_data(
self,
stp_file_id: int,
cavity_json: Dict[str, Any],
key_info: Dict[str, Any]
) -> MoldCavityData:
"""保存模具型腔数据"""
try:
mold_data = MoldCavityData(
stp_file_id=stp_file_id,
cavity_key_info=key_info,
shrinkage_rate=cavity_json["metadata"]["shrinkage_rate"],
draft_angle=cavity_json["metadata"]["draft_angle"],
generated_time=datetime.now(),
# 必填字段提供默认值
detailed_object_key=f"mold_cavity/{stp_file_id}",
storage_bucket="default"
)
self.db_session.add(mold_data)
await self.db_session.commit()
await self.db_session.refresh(mold_data)
logger.info(f"模具型腔数据保存成功: STP文件ID {stp_file_id}")
return mold_data
except Exception as e:
await self.db_session.rollback()
logger.error(f"保存模具型腔数据失败: {e}")
raise