"""
用户行为日志模型 — 记录用户四大维度的操作行为
用于数字分身的观察和学习
"""
from sqlalchemy import Column, String, Text, Integer, DateTime, JSON, Enum as SAEnum
from sqlalchemy.dialects.mysql import CHAR
from app.core.database import Base
from datetime import datetime
import uuid
import enum


class BehaviorCategory(str, enum.Enum):
    EMAIL = "email"            # 邮件处理
    CODE_REVIEW = "code_review"  # 代码审核
    DOCUMENT = "document"      # 文档撰写
    DECISION = "decision"      # 决策行为
    GENERAL = "general"        # 通用操作


class UserBehaviorLog(Base):
    """用户行为观察日志"""
    __tablename__ = "user_behavior_logs"

    id = Column(CHAR(36), primary_key=True, default=lambda: str(uuid.uuid4()), comment="日志ID")
    user_id = Column(String(36), nullable=False, index=True, comment="用户 ID")
    category = Column(String(30), nullable=False, index=True, comment="行为类别: email/code_review/document/decision/general")
    action = Column(String(100), nullable=False, comment="具体动作: open_email/reply_email/review_pr/approve_pr/write_doc/make_decision")
    
    # 上下文信息
    context = Column(JSON, nullable=True, comment="行为上下文: {url, params, entity_id, ...}")
    
    # 行为结果
    result = Column(JSON, nullable=True, comment="行为结果: {action_taken, duration_ms, outcome, ...}")
    
    # 元信息
    source = Column(String(50), nullable=True, comment="来源: api/webhook/feishu/manual")
    session_id = Column(String(100), nullable=True, comment="会话标识")
    ip_address = Column(String(50), nullable=True, comment="客户端 IP")
    user_agent = Column(String(500), nullable=True, comment="用户代理")

    created_at = Column(DateTime, default=datetime.now, index=True, comment="发生时间")

    def __repr__(self):
        return f"<UserBehaviorLog(id={self.id}, user={self.user_id}, action={self.action})>"