Jeason
c07cbf47c8
- FeishuService 新增 get_user_info() 根据 user_id 获取飞书用户姓名 - feishu_bot.py 处理消息时获取发送者姓名，日志格式改为：发送者=姓名(ID), 群=chat_id, 类型=群聊/私聊, 租户=xxx - feishu_longconn_service.py 同样获取发送者姓名并记录 - Conversation.ip_address 存储 feishu:user_id:sender_name（扩大字段到200字符） - Conversation.invocation_method 存储 feishu_bot(group) / feishu_longconn(p2p) 等详细来源 - ChatSession.source 同步记录详细来源信息
313 lines
14 KiB
Python
313 lines
14 KiB
Python
from sqlalchemy import Column, Integer, String, Text, DateTime, Float, Boolean, ForeignKey, Index
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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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import hashlib
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Base = declarative_base()
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# 默认租户ID，单租户部署时使用
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DEFAULT_TENANT = "default"
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class Tenant(Base):
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"""租户模型 — 管理多租户（市场）"""
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__tablename__ = "tenants"
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id = Column(Integer, primary_key=True)
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tenant_id = Column(String(50), unique=True, nullable=False) # 唯一标识，如 market_a
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name = Column(String(100), nullable=False) # 显示名称，如 "市场A"
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description = Column(Text, nullable=True)
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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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updated_at = Column(DateTime, default=datetime.now, onupdate=datetime.now)
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# 租户级配置：飞书 app 凭证、LLM 参数等（JSON 格式）
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config = Column(Text, nullable=True)
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def to_dict(self):
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import json
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return {
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'id': self.id,
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'tenant_id': self.tenant_id,
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'name': self.name,
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'description': self.description,
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'is_active': self.is_active,
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'config': json.loads(self.config) if self.config else {},
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'created_at': self.created_at.isoformat() if self.created_at else None,
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'updated_at': self.updated_at.isoformat() if self.updated_at else None,
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}
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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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tenant_id = Column(String(50), nullable=False, default=DEFAULT_TENANT, index=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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# 飞书集成字段
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feishu_record_id = Column(String(100), unique=True, nullable=True) # 飞书记录ID
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assignee = Column(String(100), nullable=True) # 负责人
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solution = Column(Text, nullable=True) # 解决方案
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ai_suggestion = Column(Text, nullable=True) # AI建议
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# 扩展飞书字段
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source = Column(String(50), nullable=True) # 来源（Mail, Telegram bot等）
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module = Column(String(100), nullable=True) # 模块（local O&M, OTA等）
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created_by = Column(String(100), nullable=True) # 创建人
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wilfulness = Column(String(100), nullable=True) # 责任人
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date_of_close = Column(DateTime, nullable=True) # 关闭日期
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vehicle_type = Column(String(100), nullable=True) # 车型
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vin_sim = Column(String(50), nullable=True) # 车架号/SIM
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app_remote_control_version = Column(String(100), nullable=True) # 应用远程控制版本
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hmi_sw = Column(String(100), nullable=True) # HMI软件版本
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parent_record = Column(String(100), nullable=True) # 父记录
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has_updated_same_day = Column(String(50), nullable=True) # 是否同日更新
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operating_time = Column(String(100), nullable=True) # 操作时间
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# 工单分发和权限管理字段
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assigned_module = Column(String(50), nullable=True) # 分配的模块（TBOX、OTA等）
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module_owner = Column(String(100), nullable=True) # 业务接口人/模块负责人
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dispatcher = Column(String(100), nullable=True) # 分发人（运维人员）
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dispatch_time = Column(DateTime, nullable=True) # 分发时间
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region = Column(String(50), nullable=True) # 区域（overseas/domestic）- 用于区分海外/国内
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# 系统优化字段
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processing_efficiency = Column(Float) # 处理效率
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resource_usage = Column(Text) # 资源使用情况
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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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# 关联处理过程记录
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process_history = relationship("WorkOrderProcessHistory", back_populates="work_order", order_by="WorkOrderProcessHistory.process_time")
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class ChatSession(Base):
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"""对话会话模型 — 将多轮对话组织为一个会话"""
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__tablename__ = "chat_sessions"
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id = Column(Integer, primary_key=True)
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tenant_id = Column(String(50), nullable=False, default=DEFAULT_TENANT, index=True)
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session_id = Column(String(100), unique=True, nullable=False) # 唯一会话标识
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user_id = Column(String(100), nullable=True) # 用户标识
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work_order_id = Column(Integer, ForeignKey("work_orders.id"), nullable=True)
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title = Column(String(200), nullable=True) # 会话标题（取首条消息摘要）
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status = Column(String(20), default="active") # active, ended
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message_count = Column(Integer, default=0) # 消息轮数
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source = Column(String(100), nullable=True) # 来源：websocket, api, feishu_bot(group) 等
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ip_address = Column(String(200), nullable=True) # IP地址或来源标识
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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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ended_at = Column(DateTime, nullable=True)
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# 关联消息
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messages = relationship("Conversation", back_populates="chat_session", order_by="Conversation.timestamp")
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def to_dict(self):
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return {
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'id': self.id,
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'session_id': self.session_id,
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'user_id': self.user_id,
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'work_order_id': self.work_order_id,
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'title': self.title,
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'status': self.status,
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'message_count': self.message_count,
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'source': self.source,
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'ip_address': self.ip_address,
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'created_at': self.created_at.isoformat() if self.created_at else None,
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'updated_at': self.updated_at.isoformat() if self.updated_at else None,
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'ended_at': self.ended_at.isoformat() if self.ended_at else None,
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}
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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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tenant_id = Column(String(50), nullable=False, default=DEFAULT_TENANT, index=True)
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session_id = Column(String(100), ForeignKey("chat_sessions.session_id"), nullable=True) # 关联会话
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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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ip_address = Column(String(200), nullable=True) # IP地址或来源标识（如 feishu:uid:name）
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invocation_method = Column(String(100), nullable=True) # 调用方式（websocket, api, feishu_bot(group) 等）
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# 系统优化字段
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processing_time = Column(Float) # 处理时间
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memory_usage = Column(Float) # 内存使用量
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cpu_usage = Column(Float) # CPU使用率
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work_order = relationship("WorkOrder", back_populates="conversations")
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chat_session = relationship("ChatSession", back_populates="messages")
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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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tenant_id = Column(String(50), nullable=False, default=DEFAULT_TENANT, index=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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# 系统优化字段
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search_frequency = Column(Integer, default=0) # 搜索频率
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last_accessed = Column(DateTime) # 最后访问时间
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relevance_score = Column(Float) # 相关性评分
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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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tenant_id = Column(String(50), nullable=False, default=DEFAULT_TENANT, index=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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# 分析增强字段
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performance_score = Column(Float) # 性能评分
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quality_metrics = Column(Text) # 质量指标（JSON格式）
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cost_analysis = Column(Text) # 成本分析（JSON格式）
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optimization_suggestions = Column(Text) # 优化建议（JSON格式）
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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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tenant_id = Column(String(50), nullable=False, default=DEFAULT_TENANT, index=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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severity = Column(String(20), nullable=False, default="medium") # low, medium, high, 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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class WorkOrderSuggestion(Base):
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"""工单AI建议与人工描述表"""
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__tablename__ = "work_order_suggestions"
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id = Column(Integer, primary_key=True)
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work_order_id = Column(Integer, ForeignKey("work_orders.id"), nullable=False)
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ai_suggestion = Column(Text)
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human_resolution = Column(Text)
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ai_similarity = Column(Float)
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approved = Column(Boolean, default=False)
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use_human_resolution = Column(Boolean, default=False) # 是否使用人工描述入库
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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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class WorkOrderProcessHistory(Base):
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"""工单处理过程记录表"""
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__tablename__ = "work_order_process_history"
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id = Column(Integer, primary_key=True)
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work_order_id = Column(Integer, ForeignKey("work_orders.id"), nullable=False)
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# 处理人员信息
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processor_name = Column(String(100), nullable=False) # 处理人员姓名
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processor_role = Column(String(50), nullable=True) # 处理人员角色（运维、业务方等）
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processor_region = Column(String(50), nullable=True) # 处理人员区域（overseas/domestic）
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# 处理内容
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process_content = Column(Text, nullable=False) # 处理内容/操作描述
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action_type = Column(String(50), nullable=False) # 操作类型（dispatch、process、close、reassign等）
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# 处理结果
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previous_status = Column(String(50), nullable=True) # 处理前的状态
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new_status = Column(String(50), nullable=True) # 处理后的状态
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assigned_module = Column(String(50), nullable=True) # 分配的模块（如果是分发操作）
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# 时间戳
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process_time = Column(DateTime, default=datetime.now, nullable=False) # 处理时间
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created_at = Column(DateTime, default=datetime.now)
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# 关联工单
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work_order = relationship("WorkOrder", back_populates="process_history")
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class User(Base):
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"""用户模型"""
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__tablename__ = "users"
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id = Column(Integer, primary_key=True)
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tenant_id = Column(String(50), nullable=False, default=DEFAULT_TENANT, index=True)
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username = Column(String(50), unique=True, nullable=False)
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password_hash = Column(String(128), nullable=False)
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email = Column(String(120), unique=True, nullable=True)
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name = Column(String(100), nullable=True)
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role = Column(String(20), default='user') # admin, user, operator
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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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last_login = Column(DateTime)
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def set_password(self, password):
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"""设置密码哈希"""
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self.password_hash = hashlib.sha256(password.encode()).hexdigest()
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def check_password(self, password):
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"""验证密码"""
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return self.password_hash == hashlib.sha256(password.encode()).hexdigest()
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def to_dict(self):
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"""转换为字典格式（用于API响应）"""
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return {
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'id': self.id,
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'username': self.username,
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'email': self.email,
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'name': self.name,
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'role': self.role,
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'is_active': self.is_active,
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'created_at': self.created_at.isoformat() if self.created_at else None,
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'last_login': self.last_login.isoformat() if self.last_login else None
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}
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