#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ 净利增长策略监控数据库管理模块 复用低价擒牛的数据库结构，但标识为不同策略 """ import sqlite3 import logging from datetime import datetime from typing import List, Dict, Tuple, Optional import os class ProfitGrowthMonitor: """净利增长策略监控数据库管理""" def __init__(self, db_path: str = "profit_growth_monitor.db"): """ 初始化监控数据库 Args: db_path: 数据库文件路径 """ self.db_path = db_path self.logger = logging.getLogger(__name__) self._init_database() def _init_database(self): """初始化数据库表结构""" try: conn = sqlite3.connect(self.db_path) cursor = conn.cursor() # 创建监控股票表 cursor.execute(""" CREATE TABLE IF NOT EXISTS monitored_stocks ( id INTEGER PRIMARY KEY AUTOINCREMENT, stock_code TEXT NOT NULL, stock_name TEXT NOT NULL, buy_price REAL NOT NULL, buy_date TEXT NOT NULL, holding_days INTEGER DEFAULT 0, status TEXT DEFAULT 'holding', add_time TEXT NOT NULL, remove_time TEXT, remove_reason TEXT, UNIQUE(stock_code, status) ) """) # 创建卖出提醒表 cursor.execute(""" CREATE TABLE IF NOT EXISTS sell_alerts ( id INTEGER PRIMARY KEY AUTOINCREMENT, stock_code TEXT NOT NULL, stock_name TEXT NOT NULL, alert_type TEXT NOT NULL, alert_reason TEXT, current_price REAL, kdj_k REAL, kdj_d REAL, kdj_j REAL, holding_days INTEGER, alert_time TEXT NOT NULL, is_processed INTEGER DEFAULT 0 ) """) conn.commit() conn.close() self.logger.info("净利增长监控数据库初始化成功") except Exception as e: self.logger.error(f"数据库初始化失败: {e}") def add_stock(self, stock_code: str, stock_name: str, buy_price: float, buy_date: str = None) -> Tuple[bool, str]: """ 添加股票到监控列表 Args: stock_code: 股票代码 stock_name: 股票名称 buy_price: 买入价格 buy_date: 买入日期（可选，默认为当前日期） Returns: (是否成功, 消息) """ try: if buy_date is None: buy_date = datetime.now().strftime("%Y-%m-%d") add_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S") conn = sqlite3.connect(self.db_path) cursor = conn.cursor() # 检查是否已存在 cursor.execute(""" SELECT id FROM monitored_stocks WHERE stock_code = ? AND status = 'holding' """, (stock_code,)) if cursor.fetchone(): conn.close() return False, f"股票 {stock_code} 已在监控列表中" # 插入新记录 cursor.execute(""" INSERT INTO monitored_stocks (stock_code, stock_name, buy_price, buy_date, add_time) VALUES (?, ?, ?, ?, ?) """, (stock_code, stock_name, buy_price, buy_date, add_time)) conn.commit() conn.close() self.logger.info(f"添加股票到监控: {stock_code} {stock_name}") return True, f"成功添加 {stock_name} 到监控列表" except Exception as e: self.logger.error(f"添加股票失败: {e}") return False, f"添加失败: {str(e)}" def get_monitoring_stocks(self) -> List[Dict]: """获取所有监控中的股票""" try: conn = sqlite3.connect(self.db_path) conn.row_factory = sqlite3.Row cursor = conn.cursor() cursor.execute(""" SELECT * FROM monitored_stocks WHERE status = 'holding' ORDER BY add_time DESC """) stocks = [dict(row) for row in cursor.fetchall()] conn.close() return stocks except Exception as e: self.logger.error(f"获取监控股票失败: {e}") return [] def update_holding_days(self, stock_code: str, days: int) -> bool: """更新持股天数""" try: conn = sqlite3.connect(self.db_path) cursor = conn.cursor() cursor.execute(""" UPDATE monitored_stocks SET holding_days = ? WHERE stock_code = ? AND status = 'holding' """, (days, stock_code)) conn.commit() conn.close() return True except Exception as e: self.logger.error(f"更新持股天数失败: {e}") return False def add_sell_alert(self, stock_code: str, stock_name: str, alert_type: str, alert_reason: str = None, current_price: float = None, kdj_k: float = None, kdj_d: float = None, kdj_j: float = None, holding_days: int = None) -> Tuple[bool, str]: """添加卖出提醒""" try: alert_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S") conn = sqlite3.connect(self.db_path) cursor = conn.cursor() cursor.execute(""" INSERT INTO sell_alerts (stock_code, stock_name, alert_type, alert_reason, current_price, kdj_k, kdj_d, kdj_j, holding_days, alert_time) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) """, (stock_code, stock_name, alert_type, alert_reason, current_price, kdj_k, kdj_d, kdj_j, holding_days, alert_time)) conn.commit() conn.close() self.logger.info(f"添加卖出提醒: {stock_code} - {alert_type}") return True, "提醒添加成功" except Exception as e: self.logger.error(f"添加卖出提醒失败: {e}") return False, str(e) def get_unprocessed_alerts(self) -> List[Dict]: """获取未处理的卖出提醒""" try: conn = sqlite3.connect(self.db_path) conn.row_factory = sqlite3.Row cursor = conn.cursor() cursor.execute(""" SELECT * FROM sell_alerts WHERE is_processed = 0 ORDER BY alert_time DESC """) alerts = [dict(row) for row in cursor.fetchall()] conn.close() return alerts except Exception as e: self.logger.error(f"获取卖出提醒失败: {e}") return [] def get_all_alerts(self, limit: int = 50) -> List[Dict]: """获取所有卖出提醒历史""" try: conn = sqlite3.connect(self.db_path) conn.row_factory = sqlite3.Row cursor = conn.cursor() cursor.execute(""" SELECT * FROM sell_alerts ORDER BY alert_time DESC LIMIT ? """, (limit,)) alerts = [dict(row) for row in cursor.fetchall()] conn.close() return alerts except Exception as e: self.logger.error(f"获取提醒历史失败: {e}") return [] def remove_stock(self, stock_code: str, reason: str = "手动移除") -> Tuple[bool, str]: """从监控列表移除股票""" try: conn = sqlite3.connect(self.db_path) cursor = conn.cursor() # 先检查是否存在持仓中的股票 cursor.execute(""" SELECT id FROM monitored_stocks WHERE stock_code = ? AND status = 'holding' """, (stock_code,)) if not cursor.fetchone(): conn.close() return False, f"股票 {stock_code} 不在监控列表中" # 先删除该股票的所有'removed'记录（避免UNIQUE约束冲突） cursor.execute(""" DELETE FROM monitored_stocks WHERE stock_code = ? AND status = 'removed' """, (stock_code,)) # 然后更新持仓中的记录为'removed' cursor.execute(""" UPDATE monitored_stocks SET status = 'removed', remove_time = ?, remove_reason = ? WHERE stock_code = ? AND status = 'holding' """, (datetime.now().strftime("%Y-%m-%d %H:%M:%S"), reason, stock_code)) conn.commit() conn.close() self.logger.info(f"移除股票: {stock_code}, 原因: {reason}") return True, f"成功移除 {stock_code}" except Exception as e: self.logger.error(f"移除股票失败: {e}") return False, f"移除失败: {str(e)}" def get_removed_stocks(self, limit: int = 50) -> List[Dict]: """获取已移除的股票历史""" try: conn = sqlite3.connect(self.db_path) conn.row_factory = sqlite3.Row cursor = conn.cursor() cursor.execute(""" SELECT * FROM monitored_stocks WHERE status = 'removed' ORDER BY remove_time DESC LIMIT ? """, (limit,)) stocks = [dict(row) for row in cursor.fetchall()] conn.close() return stocks except Exception as e: self.logger.error(f"获取移除历史失败: {e}") return [] # 全局实例 profit_growth_monitor = ProfitGrowthMonitor()