deving

src/models/database.py

@@ -199,8 +199,6 @@ class MoldCavityData(Base):
     product_volume = Column(Float, nullable=True)
     wall_thickness_range = Column(String(50), nullable=True)
     complexity_score = Column(Float, nullable=True)
-    estimated_cycle_time = Column(String(50), nullable=True)
-    manufacturing_tolerance = Column(String(50), nullable=True)
     
     # 质量评估
     weld_line_risk = Column(String(50), nullable=True)  # 熔接痕风险
@@ -328,32 +326,3 @@ class SystemLog(Base):
     def __repr__(self):
         return f"<SystemLog(id={self.id}, level='{self.level}', module='{self.module}')>"
 
-
-class AnalysisResultSnapshot(Base):
-    """分析结果快照表 - 存储每次分析结果的完整副本"""
-    __tablename__ = "analysis_result_snapshots"
-    
-    id = Column(Integer, primary_key=True, index=True)
-    stp_file_id = Column(Integer, ForeignKey("stp_files.id"), nullable=False, index=True)
-    
-    # 快照标识信息
-    snapshot_name = Column(String(255), nullable=False, index=True)  # 文件名+日期时间格式
-    snapshot_type = Column(String(50), default="complete")  # complete, geometry_only, key_info_only
-    
-    # 完整分析结果数据
-    task_data = Column(JSON, nullable=False)  # 任务基本信息
-    geometry_data = Column(JSON, nullable=True)  # 几何数据
-    mold_cavity_data = Column(JSON, nullable=True)  # 模具型腔数据
-    key_info = Column(JSON, nullable=True)  # 关键信息
-    html_info = Column(JSON, nullable=True)  # HTML文件信息
-    
-    # 时间戳
-    created_time = Column(DateTime, default=func.now())
-    analysis_time = Column(DateTime, nullable=False)  # 原始分析时间
-    
-    # 关联关系
-    stp_file = relationship("STPFile")
-    
-    def __repr__(self):
-        return f"<AnalysisResultSnapshot(id={self.id}, snapshot_name='{self.snapshot_name}', stp_file_id={self.stp_file_id})>"
-