104 lines
4.0 KiB
Python
104 lines
4.0 KiB
Python
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from sqlalchemy import Column, Integer, String, Text, DateTime, Float, Boolean, ForeignKey
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import relationship
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from datetime import datetime
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Base = declarative_base()
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class WorkOrder(Base):
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"""工单模型"""
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__tablename__ = "work_orders"
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id = Column(Integer, primary_key=True)
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order_id = Column(String(50), unique=True, nullable=False)
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title = Column(String(200), nullable=False)
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description = Column(Text, nullable=False)
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category = Column(String(100), nullable=False)
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priority = Column(String(20), nullable=False)
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status = Column(String(20), nullable=False)
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created_at = Column(DateTime, default=datetime.now)
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updated_at = Column(DateTime, default=datetime.now, onupdate=datetime.now)
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resolution = Column(Text)
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satisfaction_score = Column(Float)
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# 关联对话记录
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conversations = relationship("Conversation", back_populates="work_order")
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class Conversation(Base):
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"""对话记录模型"""
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__tablename__ = "conversations"
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id = Column(Integer, primary_key=True)
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work_order_id = Column(Integer, ForeignKey("work_orders.id"))
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user_message = Column(Text, nullable=False)
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assistant_response = Column(Text, nullable=False)
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timestamp = Column(DateTime, default=datetime.now)
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confidence_score = Column(Float)
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knowledge_used = Column(Text) # 使用的知识库条目
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response_time = Column(Float) # 响应时间（秒）
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work_order = relationship("WorkOrder", back_populates="conversations")
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class KnowledgeEntry(Base):
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"""知识库条目模型"""
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__tablename__ = "knowledge_entries"
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id = Column(Integer, primary_key=True)
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question = Column(Text, nullable=False)
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answer = Column(Text, nullable=False)
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category = Column(String(100), nullable=False)
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confidence_score = Column(Float, default=0.0)
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usage_count = Column(Integer, default=0)
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created_at = Column(DateTime, default=datetime.now)
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updated_at = Column(DateTime, default=datetime.now, onupdate=datetime.now)
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is_active = Column(Boolean, default=True)
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is_verified = Column(Boolean, default=False) # 是否已验证
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verified_by = Column(String(100)) # 验证人
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verified_at = Column(DateTime) # 验证时间
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vector_embedding = Column(Text) # 向量嵌入的JSON字符串
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class VehicleData(Base):
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"""车辆实时数据模型"""
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__tablename__ = "vehicle_data"
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id = Column(Integer, primary_key=True)
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vehicle_id = Column(String(50), nullable=False) # 车辆ID
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vehicle_vin = Column(String(17)) # 车架号
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data_type = Column(String(50), nullable=False) # 数据类型（位置、状态、故障等）
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data_value = Column(Text, nullable=False) # 数据值（JSON格式）
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timestamp = Column(DateTime, default=datetime.now) # 数据时间戳
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is_active = Column(Boolean, default=True) # 是否有效
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# 索引
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__table_args__ = (
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{'extend_existing': True}
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)
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class Analytics(Base):
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"""分析统计模型"""
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__tablename__ = "analytics"
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id = Column(Integer, primary_key=True)
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date = Column(DateTime, nullable=False)
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total_orders = Column(Integer, default=0)
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resolved_orders = Column(Integer, default=0)
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avg_resolution_time = Column(Float, default=0.0)
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satisfaction_avg = Column(Float, default=0.0)
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knowledge_hit_rate = Column(Float, default=0.0)
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category_distribution = Column(Text) # JSON格式的类别分布
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created_at = Column(DateTime, default=datetime.now)
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class Alert(Base):
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"""预警模型"""
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__tablename__ = "alerts"
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id = Column(Integer, primary_key=True)
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rule_name = Column(String(100), nullable=False)
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alert_type = Column(String(50), nullable=False)
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level = Column(String(20), nullable=False) # info, warning, error, critical
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message = Column(Text, nullable=False)
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data = Column(Text) # JSON格式的预警数据
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is_active = Column(Boolean, default=True)
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created_at = Column(DateTime, default=datetime.now)
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resolved_at = Column(DateTime)
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