811 lines
26 KiB
Python
811 lines
26 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import os
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import json
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import logging
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from typing import Dict, Any, List, Optional, Union
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from datetime import datetime
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from sqlalchemy import create_engine, Column, Integer, String, Text, DateTime, Index, text, ForeignKey
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import sessionmaker, relationship
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from sqlalchemy.dialects.mysql import JSON
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from sqlalchemy.pool import QueuePool
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from cryptoai.utils.config_loader import ConfigLoader
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# 配置日志
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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)
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logger = logging.getLogger('db_manager')
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# 创建模型基类
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Base = declarative_base()
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# 定义分析结果模型
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class AnalysisResult(Base):
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"""分析结果表模型"""
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__tablename__ = 'analysis_results'
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id = Column(Integer, primary_key=True, autoincrement=True)
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agent = Column(String(50), nullable=False, comment='智能体类型(crypto, gold)')
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symbol = Column(String(50), nullable=False, comment='交易对符号')
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time_interval = Column(String(20), nullable=False, comment='时间间隔')
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completion_result = Column(JSON, nullable=False, comment='分析结果JSON')
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created_at = Column(DateTime, nullable=False, default=datetime.now, comment='创建时间')
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updated_at = Column(DateTime, nullable=False, default=datetime.now, onupdate=datetime.now, comment='更新时间')
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# 索引
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__table_args__ = (
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Index('idx_agent', 'agent'),
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Index('idx_symbol', 'symbol'),
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Index('idx_time_interval', 'time_interval'),
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Index('idx_created_at', 'created_at'),
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)
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# 定义AI Agent信息流模型
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class AgentFeed(Base):
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"""AI Agent信息流表模型"""
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__tablename__ = 'agent_feeds'
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id = Column(Integer, primary_key=True, autoincrement=True)
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agent_name = Column(String(50), nullable=False, comment='AI Agent名称')
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avatar_url = Column(String(255), nullable=True, comment='头像URL')
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content = Column(Text, nullable=False, comment='内容')
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create_time = Column(DateTime, nullable=False, default=datetime.now, comment='创建时间')
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# 索引和表属性
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__table_args__ = (
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Index('idx_agent_name', 'agent_name'),
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Index('idx_create_time', 'create_time'),
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{'mysql_charset': 'utf8mb4', 'mysql_collate': 'utf8mb4_unicode_ci'}
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)
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# 定义用户数据模型
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class User(Base):
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"""用户数据表模型"""
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__tablename__ = 'users'
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id = Column(Integer, primary_key=True, autoincrement=True)
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mail = Column(String(100), nullable=False, unique=True, comment='邮箱')
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nickname = Column(String(50), nullable=False, comment='昵称')
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password = Column(String(100), nullable=False, comment='密码')
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level = Column(Integer, nullable=False, default=0, comment='用户级别(0=普通用户,1=VIP,2=SVIP)')
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create_time = Column(DateTime, nullable=False, default=datetime.now, comment='创建时间')
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# 关系
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questions = relationship("UserQuestion", back_populates="user")
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# 索引和表属性
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__table_args__ = (
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Index('idx_mail', 'mail'),
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Index('idx_level', 'level'),
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Index('idx_create_time', 'create_time'),
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{'mysql_charset': 'utf8mb4', 'mysql_collate': 'utf8mb4_unicode_ci'}
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)
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# 定义用户提问数据模型
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class UserQuestion(Base):
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"""用户提问数据表模型"""
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__tablename__ = 'user_questions'
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id = Column(Integer, primary_key=True, autoincrement=True)
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user_id = Column(Integer, ForeignKey('users.id'), nullable=False, comment='用户ID')
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agent_id = Column(String(50), nullable=False, comment='AI Agent ID')
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question = Column(Text, nullable=False, comment='提问内容')
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create_time = Column(DateTime, nullable=False, default=datetime.now, comment='创建时间')
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# 关系
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user = relationship("User", back_populates="questions")
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# 索引和表属性
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__table_args__ = (
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Index('idx_user_id', 'user_id'),
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Index('idx_agent_id', 'agent_id'),
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Index('idx_create_time', 'create_time'),
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{'mysql_charset': 'utf8mb4', 'mysql_collate': 'utf8mb4_unicode_ci'}
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)
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class DBManager:
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"""数据库管理工具，用于连接MySQL数据库并保存智能体分析结果"""
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def __init__(self, host: str, port: int, user: str, password: str, db_name: str):
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"""
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初始化数据库管理器
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Args:
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host: 数据库主机地址
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port: 数据库端口
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user: 用户名
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password: 密码
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db_name: 数据库名
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"""
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self.host = host
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self.port = port
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self.user = user
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self.password = password
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self.db_name = db_name
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self.engine = None
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self.Session = None
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# 初始化数据库连接
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self._init_db()
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def _init_db(self) -> None:
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"""初始化数据库连接和表"""
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try:
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# 创建数据库连接
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connection_string = f"mysql+pymysql://{self.user}:{self.password}@{self.host}:{self.port}/{self.db_name}?charset=utf8mb4"
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# 创建引擎，设置连接池
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self.engine = create_engine(
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connection_string,
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echo=False, # 设置为True可以输出SQL语句（调试用）
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pool_size=5, # 连接池大小
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max_overflow=10, # 最大溢出连接数
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pool_timeout=30, # 连接超时时间
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pool_recycle=1800, # 连接回收时间（秒）
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pool_pre_ping=True, # 在使用连接前先ping一下，确保连接有效
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connect_args={'charset': 'utf8mb4'}
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)
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# 创建会话工厂
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self.Session = sessionmaker(bind=self.engine)
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# 创建表（如果不存在）
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Base.metadata.create_all(self.engine)
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logger.info(f"成功连接到数据库 {self.db_name}")
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except Exception as e:
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logger.error(f"数据库初始化失败: {e}")
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self.engine = None
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def save_analysis_result(self, agent: str, symbol: str, time_interval: str,
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analysis_result: Dict[str, Any]) -> bool:
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"""
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保存分析结果到数据库
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Args:
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agent: 智能体类型，例如 'crypto' 或 'gold'
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symbol: 交易对符号，例如 'BTCUSDT'
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time_interval: 时间间隔，例如 '1h', '4h', '1d'
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analysis_result: 分析结果数据
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Returns:
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保存是否成功
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"""
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if not self.engine:
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try:
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self._init_db()
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except Exception as e:
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logger.error(f"重新连接数据库失败: {e}")
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return False
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try:
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# 创建会话
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session = self.Session()
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try:
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# 创建新记录
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new_result = AnalysisResult(
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agent=agent,
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symbol=symbol,
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time_interval=time_interval,
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completion_result=analysis_result,
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created_at=datetime.now(),
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updated_at=datetime.now()
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)
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# 添加并提交
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session.add(new_result)
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session.commit()
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logger.info(f"成功保存 {agent} 分析结果，交易对: {symbol}, 时间间隔: {time_interval}")
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return True
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except Exception as e:
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session.rollback()
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logger.error(f"保存分析结果失败: {e}")
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return False
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finally:
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session.close()
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except Exception as e:
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logger.error(f"创建数据库会话失败: {e}")
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# 如果是连接错误，尝试重新初始化
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try:
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self._init_db()
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except:
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pass
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return False
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def save_agent_feed(self, agent_name: str, content: str, avatar_url: Optional[str] = None) -> bool:
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"""
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保存AI Agent信息流到数据库
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Args:
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agent_name: AI Agent名称
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content: 内容
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avatar_url: 头像URL，可选
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Returns:
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保存是否成功
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"""
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if not self.engine:
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try:
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self._init_db()
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except Exception as e:
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logger.error(f"重新连接数据库失败: {e}")
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return False
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try:
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# 创建会话
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session = self.Session()
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try:
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# 创建新记录
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new_feed = AgentFeed(
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agent_name=agent_name,
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content=content,
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avatar_url=avatar_url
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)
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# 添加并提交
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session.add(new_feed)
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session.commit()
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logger.info(f"成功保存 {agent_name} 的信息流")
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return True
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except Exception as e:
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session.rollback()
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logger.error(f"保存信息流失败: {e}")
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return False
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finally:
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session.close()
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except Exception as e:
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logger.error(f"创建数据库会话失败: {e}")
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# 如果是连接错误，尝试重新初始化
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try:
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self._init_db()
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except:
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pass
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return False
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def register_user(self, mail: str, nickname: str, password: str, level: int = 0) -> bool:
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"""
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注册新用户
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Args:
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mail: 邮箱
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nickname: 昵称
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password: 密码
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level: 用户级别，默认为0（普通用户）
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Returns:
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注册是否成功
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"""
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if not self.engine:
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try:
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self._init_db()
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except Exception as e:
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logger.error(f"重新连接数据库失败: {e}")
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return False
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try:
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# 创建会话
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session = self.Session()
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try:
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# 检查邮箱是否已存在
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existing_user = session.query(User).filter(User.mail == mail).first()
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if existing_user:
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logger.warning(f"邮箱 {mail} 已被注册")
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return False
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# 创建新用户
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new_user = User(
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mail=mail,
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nickname=nickname,
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password=password, # 实际应用中应该对密码进行哈希处理
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level=level,
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create_time=datetime.now()
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)
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# 添加并提交
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session.add(new_user)
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session.commit()
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logger.info(f"成功注册用户: {mail}")
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return True
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except Exception as e:
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session.rollback()
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logger.error(f"注册用户失败: {e}")
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return False
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finally:
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session.close()
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except Exception as e:
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logger.error(f"创建数据库会话失败: {e}")
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# 如果是连接错误，尝试重新初始化
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try:
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self._init_db()
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except:
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pass
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return False
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def get_user_by_mail(self, mail: str) -> Optional[Dict[str, Any]]:
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"""
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通过邮箱获取用户信息
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||
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Args:
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mail: 邮箱
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Returns:
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用户信息，如果用户不存在则返回None
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"""
|
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if not self.engine:
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try:
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self._init_db()
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except Exception as e:
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logger.error(f"重新连接数据库失败: {e}")
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return None
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try:
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# 创建会话
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session = self.Session()
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try:
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# 查询用户
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user = session.query(User).filter(User.mail == mail).first()
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if user:
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# 转换为字典
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return {
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'id': user.id,
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'mail': user.mail,
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'nickname': user.nickname,
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'level': user.level,
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'create_time': user.create_time
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}
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else:
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return None
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finally:
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session.close()
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except Exception as e:
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logger.error(f"获取用户信息失败: {e}")
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return None
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def get_user_by_id(self, user_id: int) -> Optional[Dict[str, Any]]:
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"""
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||
通过ID获取用户信息
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||
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||
Args:
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||
user_id: 用户ID
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||
|
||
Returns:
|
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用户信息，如果用户不存在则返回None
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||
"""
|
||
if not self.engine:
|
||
try:
|
||
self._init_db()
|
||
except Exception as e:
|
||
logger.error(f"重新连接数据库失败: {e}")
|
||
return None
|
||
|
||
try:
|
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# 创建会话
|
||
session = self.Session()
|
||
|
||
try:
|
||
# 查询用户
|
||
user = session.query(User).filter(User.id == user_id).first()
|
||
|
||
if user:
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# 转换为字典
|
||
return {
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'id': user.id,
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'mail': user.mail,
|
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'nickname': user.nickname,
|
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'level': user.level,
|
||
'create_time': user.create_time
|
||
}
|
||
else:
|
||
return None
|
||
|
||
finally:
|
||
session.close()
|
||
|
||
except Exception as e:
|
||
logger.error(f"获取用户信息失败: {e}")
|
||
return None
|
||
|
||
def update_user_level(self, user_id: int, level: int) -> bool:
|
||
"""
|
||
更新用户级别
|
||
|
||
Args:
|
||
user_id: 用户ID
|
||
level: 新的用户级别
|
||
|
||
Returns:
|
||
更新是否成功
|
||
"""
|
||
if not self.engine:
|
||
try:
|
||
self._init_db()
|
||
except Exception as e:
|
||
logger.error(f"重新连接数据库失败: {e}")
|
||
return False
|
||
|
||
try:
|
||
# 创建会话
|
||
session = self.Session()
|
||
|
||
try:
|
||
# 查询用户
|
||
user = session.query(User).filter(User.id == user_id).first()
|
||
|
||
if not user:
|
||
logger.warning(f"用户ID {user_id} 不存在")
|
||
return False
|
||
|
||
# 更新级别
|
||
user.level = level
|
||
session.commit()
|
||
|
||
logger.info(f"成功更新用户 {user.mail} 的级别为 {level}")
|
||
return True
|
||
|
||
except Exception as e:
|
||
session.rollback()
|
||
logger.error(f"更新用户级别失败: {e}")
|
||
return False
|
||
|
||
finally:
|
||
session.close()
|
||
|
||
except Exception as e:
|
||
logger.error(f"创建数据库会话失败: {e}")
|
||
return False
|
||
|
||
def get_agent_feeds(self, agent_name: Optional[str] = None, limit: int = 20, skip: int = 0) -> List[Dict[str, Any]]:
|
||
"""
|
||
获取AI Agent信息流
|
||
|
||
Args:
|
||
agent_name: 可选，指定获取特定Agent的信息流
|
||
limit: 返回的最大记录数，默认20条
|
||
|
||
Returns:
|
||
信息流列表，如果查询失败则返回空列表
|
||
"""
|
||
if not self.engine:
|
||
try:
|
||
self._init_db()
|
||
except Exception as e:
|
||
logger.error(f"重新连接数据库失败: {e}")
|
||
return []
|
||
|
||
try:
|
||
# 创建会话
|
||
session = self.Session()
|
||
|
||
try:
|
||
# 构建查询
|
||
query = session.query(AgentFeed)
|
||
|
||
# 如果指定了agent_name，则筛选
|
||
if agent_name:
|
||
query = query.filter(AgentFeed.agent_name == agent_name)
|
||
|
||
# 按创建时间降序排序并限制数量
|
||
results = query.order_by(AgentFeed.create_time.desc()).offset(skip).limit(limit).all()
|
||
|
||
# 转换为字典列表
|
||
feeds = []
|
||
for result in results:
|
||
feeds.append({
|
||
'id': result.id,
|
||
'agent_name': result.agent_name,
|
||
'avatar_url': result.avatar_url,
|
||
'content': result.content,
|
||
'create_time': result.create_time
|
||
})
|
||
|
||
return feeds
|
||
|
||
finally:
|
||
session.close()
|
||
|
||
except Exception as e:
|
||
logger.error(f"获取信息流失败: {e}")
|
||
return []
|
||
|
||
def save_user_question(self, user_id: int, agent_id: str, question: str) -> bool:
|
||
"""
|
||
保存用户提问数据
|
||
|
||
Args:
|
||
user_id: 用户ID
|
||
agent_id: AI Agent ID
|
||
question: 提问内容
|
||
|
||
Returns:
|
||
保存是否成功
|
||
"""
|
||
if not self.engine:
|
||
try:
|
||
self._init_db()
|
||
except Exception as e:
|
||
logger.error(f"重新连接数据库失败: {e}")
|
||
return False
|
||
|
||
try:
|
||
# 创建会话
|
||
session = self.Session()
|
||
|
||
try:
|
||
# 创建新记录
|
||
new_question = UserQuestion(
|
||
user_id=user_id,
|
||
agent_id=agent_id,
|
||
question=question,
|
||
create_time=datetime.now()
|
||
)
|
||
|
||
# 添加并提交
|
||
session.add(new_question)
|
||
session.commit()
|
||
|
||
logger.info(f"成功保存用户 {user_id} 对 Agent {agent_id} 的提问")
|
||
return True
|
||
|
||
except Exception as e:
|
||
session.rollback()
|
||
logger.error(f"保存用户提问失败: {e}")
|
||
return False
|
||
|
||
finally:
|
||
session.close()
|
||
|
||
except Exception as e:
|
||
logger.error(f"创建数据库会话失败: {e}")
|
||
# 如果是连接错误，尝试重新初始化
|
||
try:
|
||
self._init_db()
|
||
except:
|
||
pass
|
||
return False
|
||
|
||
def get_user_questions(self, user_id: Optional[int] = None, agent_id: Optional[str] = None,
|
||
limit: int = 20, skip: int = 0) -> List[Dict[str, Any]]:
|
||
"""
|
||
获取用户提问数据
|
||
|
||
Args:
|
||
user_id: 可选，指定获取特定用户的提问
|
||
agent_id: 可选，指定获取特定Agent的提问
|
||
limit: 返回的最大记录数，默认20条
|
||
skip: 跳过的记录数，默认0条
|
||
|
||
Returns:
|
||
提问数据列表，如果查询失败则返回空列表
|
||
"""
|
||
if not self.engine:
|
||
try:
|
||
self._init_db()
|
||
except Exception as e:
|
||
logger.error(f"重新连接数据库失败: {e}")
|
||
return []
|
||
|
||
try:
|
||
# 创建会话
|
||
session = self.Session()
|
||
|
||
try:
|
||
# 构建查询
|
||
query = session.query(UserQuestion)
|
||
|
||
# 如果指定了user_id，则筛选
|
||
if user_id:
|
||
query = query.filter(UserQuestion.user_id == user_id)
|
||
|
||
# 如果指定了agent_id，则筛选
|
||
if agent_id:
|
||
query = query.filter(UserQuestion.agent_id == agent_id)
|
||
|
||
# 按创建时间降序排序并限制数量
|
||
results = query.order_by(UserQuestion.create_time.desc()).offset(skip).limit(limit).all()
|
||
|
||
# 转换为字典列表
|
||
questions = []
|
||
for result in results:
|
||
questions.append({
|
||
'id': result.id,
|
||
'user_id': result.user_id,
|
||
'agent_id': result.agent_id,
|
||
'question': result.question,
|
||
'create_time': result.create_time
|
||
})
|
||
|
||
return questions
|
||
|
||
finally:
|
||
session.close()
|
||
|
||
except Exception as e:
|
||
logger.error(f"获取用户提问失败: {e}")
|
||
return []
|
||
|
||
def get_user_question_by_id(self, question_id: int) -> Optional[Dict[str, Any]]:
|
||
"""
|
||
通过ID获取用户提问数据
|
||
|
||
Args:
|
||
question_id: 提问ID
|
||
|
||
Returns:
|
||
提问数据，如果不存在则返回None
|
||
"""
|
||
if not self.engine:
|
||
try:
|
||
self._init_db()
|
||
except Exception as e:
|
||
logger.error(f"重新连接数据库失败: {e}")
|
||
return None
|
||
|
||
try:
|
||
# 创建会话
|
||
session = self.Session()
|
||
|
||
try:
|
||
# 查询提问
|
||
result = session.query(UserQuestion).filter(UserQuestion.id == question_id).first()
|
||
|
||
if result:
|
||
# 转换为字典
|
||
return {
|
||
'id': result.id,
|
||
'user_id': result.user_id,
|
||
'agent_id': result.agent_id,
|
||
'question': result.question,
|
||
'create_time': result.create_time
|
||
}
|
||
else:
|
||
return None
|
||
|
||
finally:
|
||
session.close()
|
||
|
||
except Exception as e:
|
||
logger.error(f"获取用户提问失败: {e}")
|
||
return None
|
||
|
||
def get_latest_result(self, agent: str, symbol: str, time_interval: str) -> Optional[Dict[str, Any]]:
|
||
"""
|
||
获取最新的分析结果
|
||
|
||
Args:
|
||
agent: 智能体类型，例如 'crypto' 或 'gold'
|
||
symbol: 交易对符号，例如 'BTCUSDT'
|
||
time_interval: 时间间隔，例如 '1h', '4h', '1d'
|
||
|
||
Returns:
|
||
最新分析结果，如果查询失败则返回None
|
||
"""
|
||
if not self.engine:
|
||
try:
|
||
self._init_db()
|
||
except Exception as e:
|
||
logger.error(f"重新连接数据库失败: {e}")
|
||
return None
|
||
|
||
try:
|
||
# 创建会话
|
||
session = self.Session()
|
||
|
||
try:
|
||
# 查询最新的结果
|
||
result = session.query(AnalysisResult).filter(
|
||
AnalysisResult.agent == agent,
|
||
AnalysisResult.symbol == symbol,
|
||
AnalysisResult.time_interval == time_interval
|
||
).order_by(AnalysisResult.created_at.desc()).first()
|
||
|
||
if result:
|
||
# 转换为字典
|
||
return {
|
||
'id': result.id,
|
||
'agent': result.agent,
|
||
'symbol': result.symbol,
|
||
'time_interval': result.time_interval,
|
||
'completion_result': result.completion_result,
|
||
'created_at': result.created_at
|
||
}
|
||
else:
|
||
return None
|
||
|
||
finally:
|
||
session.close()
|
||
|
||
except Exception as e:
|
||
logger.error(f"获取最新分析结果失败: {e}")
|
||
return None
|
||
|
||
def close(self) -> None:
|
||
"""关闭数据库连接"""
|
||
if self.engine:
|
||
self.engine.dispose()
|
||
self.engine = None
|
||
logger.info("数据库连接已关闭")
|
||
|
||
|
||
# 单例模式
|
||
_db_instance = None
|
||
|
||
def get_db_manager(host: Optional[str] = None,
|
||
port: Optional[int] = None,
|
||
user: Optional[str] = None,
|
||
password: Optional[str] = None,
|
||
db_name: Optional[str] = None) -> DBManager:
|
||
"""
|
||
获取数据库管理器实例（单例模式）
|
||
|
||
Args:
|
||
host: 数据库主机地址
|
||
port: 数据库端口
|
||
user: 用户名
|
||
password: 密码
|
||
db_name: 数据库名
|
||
|
||
Returns:
|
||
数据库管理器实例
|
||
"""
|
||
global _db_instance
|
||
|
||
# 如果已经初始化过，直接返回
|
||
if _db_instance is not None:
|
||
return _db_instance
|
||
|
||
# 如果未指定参数，从配置加载器获取数据库配置
|
||
if host is None or port is None or user is None or password is None or db_name is None:
|
||
config_loader = ConfigLoader()
|
||
db_config = config_loader.get_database_config()
|
||
|
||
# 使用配置中的值或默认值
|
||
db_host = host or db_config.get('host')
|
||
db_port = port or db_config.get('port')
|
||
db_user = user or db_config.get('user')
|
||
db_password = password or db_config.get('password')
|
||
db_name = db_name or db_config.get('db_name')
|
||
|
||
logger.info(f"从配置加载数据库连接信息: {db_host}:{db_port}/{db_name}")
|
||
else:
|
||
db_host = host
|
||
db_port = port
|
||
db_user = user
|
||
db_password = password
|
||
db_name = db_name
|
||
|
||
# 创建实例
|
||
_db_instance = DBManager(
|
||
host=db_host,
|
||
port=db_port,
|
||
user=db_user,
|
||
password=db_password,
|
||
db_name=db_name
|
||
)
|
||
|
||
return _db_instance |