oficcejo
627 lines
24 KiB
Python
627 lines
24 KiB
Python
"""
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智策定时分析服务
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支持定时运行板块策略分析并发送邮件通知
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"""
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import schedule
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import threading
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import time
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from datetime import datetime
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from sector_strategy_data import SectorStrategyDataFetcher
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from sector_strategy_engine import SectorStrategyEngine
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from notification_service import notification_service
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import json
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class SectorStrategyScheduler:
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"""智策定时分析调度器"""
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def __init__(self):
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self.running = False
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self.thread = None
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self.schedule_time = "09:00" # 默认上午9点
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self.enabled = False
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self.last_run_time = None
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self.last_result = None
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self.last_notification_time = None # 记录上次通知时间，防止重复
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self._analysis_lock = threading.Lock() # 添加锁，防止并发执行
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print("[智策定时] 调度器初始化完成")
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def start(self, schedule_time="09:00"):
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"""
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启动定时任务
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Args:
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schedule_time: 定时时间，格式 "HH:MM"
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"""
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if self.running:
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print("[智策定时] 调度器已在运行中")
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return False
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self.schedule_time = schedule_time
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self.enabled = True
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# 先清除所有带sector_strategy标签的任务
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try:
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jobs_to_remove = [job for job in schedule.jobs if 'sector_strategy' in job.tags]
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for job in jobs_to_remove:
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schedule.cancel_job(job)
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print(f"[智策定时] 清除了 {len(jobs_to_remove)} 个旧任务")
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except Exception as e:
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print(f"[智策定时] 清除旧任务时出错: {e}")
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# 设置定时任务（确保只添加一次）
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job = schedule.every().day.at(schedule_time).do(self._run_analysis_safe)
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job.tag('sector_strategy')
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print(f"[智策定时] 添加新任务: 每天 {schedule_time}")
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# 设置运行标志
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self.running = True
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# 启动后台线程
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self.thread = threading.Thread(target=self._schedule_loop, daemon=True)
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self.thread.start()
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print(f"[智策定时] ✓ 定时任务已启动，每天 {schedule_time} 运行")
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return True
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def stop(self):
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"""停止定时任务"""
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if not self.running:
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print("[智策定时] 调度器未运行")
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return False
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self.running = False
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self.enabled = False
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# 只清除智策的任务，不影响其他模块
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jobs_to_remove = [job for job in schedule.jobs if 'sector_strategy' in job.tags]
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for job in jobs_to_remove:
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schedule.cancel_job(job)
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print(f"[智策定时] 清除了 {len(jobs_to_remove)} 个任务")
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print("[智策定时] ✓ 定时任务已停止")
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return True
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def _schedule_loop(self):
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"""定时任务循环"""
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print("[智策定时] 后台线程已启动")
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while self.running:
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try:
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schedule.run_pending()
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time.sleep(60) # 每分钟检查一次
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except Exception as e:
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print(f"[智策定时] ✗ 调度循环出错: {e}")
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time.sleep(60)
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def _run_analysis_safe(self):
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"""运行智策分析（带锁保护，防止并发执行）"""
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# 尝试获取锁，如果已被占用则跳过本次执行
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if not self._analysis_lock.acquire(blocking=False):
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print("[智策定时] ⚠️ 上一次分析还未完成，跳过本次执行")
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return
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try:
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self._run_analysis()
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finally:
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self._analysis_lock.release()
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def _run_analysis(self):
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"""运行智策分析"""
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print("\n" + "="*60)
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print(f"[智策定时] 开始定时分析 - {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
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print("="*60)
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try:
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# 1. 获取数据
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print("[智策定时] [1/3] 获取市场数据...")
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fetcher = SectorStrategyDataFetcher()
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data = fetcher.get_all_sector_data()
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if not data.get("success"):
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print("[智策定时] ✗ 数据获取失败")
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self._send_error_notification("数据获取失败")
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return
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print("[智策定时] ✓ 数据获取成功")
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# 2. 运行AI分析
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print("[智策定时] [2/3] AI智能体分析中...")
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engine = SectorStrategyEngine(model="deepseek-chat")
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result = engine.run_comprehensive_analysis(data)
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if not result.get("success"):
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print("[智策定时] ✗ 分析失败")
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self._send_error_notification("AI分析失败")
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return
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print("[智策定时] ✓ 分析完成")
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# 3. 发送邮件通知
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print("[智策定时] [3/3] 发送邮件通知...")
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self._send_analysis_notification(result)
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# 保存最后运行结果
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self.last_run_time = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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self.last_result = result
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print("="*60)
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print("[智策定时] ✓ 定时分析完成！")
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print("="*60 + "\n")
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except Exception as e:
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print(f"[智策定时] ✗ 分析过程出错: {e}")
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import traceback
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traceback.print_exc()
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self._send_error_notification(f"分析异常: {str(e)}")
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def _send_analysis_notification(self, result):
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"""发送分析结果通知（邮件和/或webhook）- 带去重保护"""
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try:
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# 去重检查：如果5分钟内已发送过通知，则跳过
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current_time = datetime.now()
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if self.last_notification_time:
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time_diff = (current_time - self.last_notification_time).total_seconds()
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if time_diff < 300: # 5分钟 = 300秒
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print(f"[智策定时] ⚠️ 距离上次通知仅{time_diff:.0f}秒，跳过重复发送")
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return
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config = notification_service.config
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predictions = result.get("final_predictions", {})
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timestamp = result.get("timestamp", datetime.now().strftime('%Y-%m-%d %H:%M:%S'))
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sent_count = 0
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# 尝试发送Webhook
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if config.get('webhook_enabled') and config.get('webhook_url'):
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print("[智策定时] [Webhook] 准备发送...")
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webhook_success = self._send_webhook_direct(predictions, timestamp)
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if webhook_success:
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print("[智策定时] ✓ Webhook发送成功")
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sent_count += 1
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else:
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print("[智策定时] ✗ Webhook发送失败")
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# 尝试发送邮件
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if config.get('email_enabled') and all([
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config.get('smtp_server'),
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config.get('email_from'),
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config.get('email_password'),
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config.get('email_to')
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]):
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print("[智策定时] [邮件] 准备发送...")
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subject = f"智策板块分析报告 - {timestamp}"
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body = self._format_email_body(predictions, timestamp)
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email_success = self._send_email_direct(subject, body)
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if email_success:
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print("[智策定时] ✓ 邮件发送成功")
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sent_count += 1
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else:
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print("[智策定时] ✗ 邮件发送失败")
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# 更新最后通知时间
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if sent_count > 0:
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self.last_notification_time = current_time
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print(f"[智策定时] 📝 已记录通知时间: {current_time.strftime('%H:%M:%S')}")
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if sent_count == 0:
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print("[智策定时] ⚠️ 未配置通知方式或发送全部失败")
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except Exception as e:
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print(f"[智策定时] ✗ 通知发送异常: {e}")
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import traceback
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traceback.print_exc()
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def _send_error_notification(self, error_msg):
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"""发送错误通知邮件"""
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try:
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subject = f"智策定时分析失败 - {datetime.now().strftime('%Y-%m-%d %H:%M')}"
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body = f"""
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智策定时分析任务失败
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时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
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错误: {error_msg}
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请检查系统日志获取详细信息。
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"""
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self._send_email_direct(subject, body)
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except:
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pass
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def _send_webhook_direct(self, predictions, timestamp):
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"""发送webhook通知"""
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try:
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import requests
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config = notification_service.config
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webhook_type = config.get('webhook_type', 'dingtalk')
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webhook_url = config['webhook_url']
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# 格式化简洁的分析摘要
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summary = self._format_webhook_summary(predictions, timestamp)
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if webhook_type == 'dingtalk':
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return self._send_dingtalk(webhook_url, summary, timestamp)
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elif webhook_type == 'feishu':
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return self._send_feishu(webhook_url, summary, timestamp)
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else:
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print(f"[智策定时] ✗ 不支持的webhook类型: {webhook_type}")
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return False
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except Exception as e:
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print(f"[智策定时] ✗ Webhook发送失败: {e}")
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import traceback
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traceback.print_exc()
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return False
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def _send_dingtalk(self, url, summary, timestamp):
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"""发送钉钉消息"""
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try:
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import requests
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# 获取自定义关键词
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keyword = notification_service.config.get('webhook_keyword', '')
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title_prefix = f"{keyword} - " if keyword else ""
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data = {
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"msgtype": "markdown",
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"markdown": {
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"title": f"{title_prefix}智策板块分析报告",
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"text": summary
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}
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}
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response = requests.post(url, json=data, headers={'Content-Type': 'application/json'}, timeout=10)
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if response.status_code == 200:
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result = response.json()
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return result.get('errcode') == 0
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return False
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except Exception as e:
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print(f"[智策定时] 钉钉发送异常: {e}")
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return False
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def _send_feishu(self, url, summary, timestamp):
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"""发送飞书消息"""
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try:
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import requests
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# 获取自定义关键词（飞书通常不需要关键词，但保持一致性）
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keyword = notification_service.config.get('webhook_keyword', '')
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title_prefix = f"【{keyword} - " if keyword else "【"
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data = {
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"msg_type": "text",
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"content": {
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"text": f"{title_prefix}智策板块分析报告】\n分析时间: {timestamp}\n\n{summary}"
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}
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}
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response = requests.post(url, json=data, headers={'Content-Type': 'application/json'}, timeout=10)
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if response.status_code == 200:
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result = response.json()
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return result.get('code') == 0
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return False
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except Exception as e:
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print(f"[智策定时] 飞书发送异常: {e}")
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return False
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def _format_webhook_summary(self, predictions, timestamp):
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"""格式化webhook摘要（精简版）"""
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# 获取自定义关键词
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keyword = notification_service.config.get('webhook_keyword', '')
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title_prefix = f"{keyword} - " if keyword else ""
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lines = []
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lines.append(f"### {title_prefix}智策板块分析报告")
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lines.append(f"**分析时间**: {timestamp}")
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lines.append("")
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# 板块多空（只显示高信心度的）
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long_short = predictions.get("long_short", {})
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if long_short:
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bullish = [item for item in long_short.get("bullish", []) if item.get('confidence', 0) >= 7]
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bearish = [item for item in long_short.get("bearish", []) if item.get('confidence', 0) >= 7]
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if bullish or bearish:
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lines.append("#### 📊 板块多空")
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if bullish:
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lines.append("**看多**: " + "、".join([f"{item.get('sector')}({item.get('confidence')}分)" for item in bullish[:3]]))
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if bearish:
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lines.append("**看空**: " + "、".join([f"{item.get('sector')}({item.get('confidence')}分)" for item in bearish[:3]]))
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lines.append("")
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# 板块轮动（只显示潜力板块）
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rotation = predictions.get("rotation", {})
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if rotation:
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potential = rotation.get("potential", [])[:3]
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if potential:
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lines.append("#### 🔄 潜力接力板块")
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for item in potential:
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lines.append(f"- {item.get('sector')}: {item.get('advice', 'N/A')}")
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lines.append("")
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# 板块热度TOP3
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heat = predictions.get("heat", {})
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if heat:
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hottest = heat.get("hottest", [])[:3]
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if hottest:
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lines.append("#### 🌡️ 热度TOP3")
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for idx, item in enumerate(hottest, 1):
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lines.append(f"{idx}. {item.get('sector')} - {item.get('score', 0)}分")
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lines.append("")
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# 策略总结
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summary = predictions.get("summary", {})
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if summary and summary.get('key_opportunity'):
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lines.append("#### 💡 核心机会")
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lines.append(summary['key_opportunity'][:150] + "..." if len(summary.get('key_opportunity', '')) > 150 else summary.get('key_opportunity', ''))
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lines.append("")
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lines.append("---")
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lines.append("*由智策AI系统自动生成*")
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return "\n".join(lines)
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def _send_email_direct(self, subject, body):
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"""直接发送邮件（参考notification_service的实现）"""
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try:
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import smtplib
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from email.mime.text import MIMEText
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from email.mime.multipart import MIMEMultipart
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config = notification_service.config
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# 创建邮件
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msg = MIMEMultipart()
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msg['From'] = config['email_from']
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msg['To'] = config['email_to']
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msg['Subject'] = subject
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# 添加正文（纯文本）
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msg.attach(MIMEText(body, 'plain', 'utf-8'))
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print(f"[智策定时] 📧 正在发送邮件...")
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print(f"[智策定时] - 收件人: {config['email_to']}")
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print(f"[智策定时] - 主题: {subject}")
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# 根据端口选择连接方式
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if config['smtp_port'] == 465:
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print(f"[智策定时] - 使用 SMTP_SSL 连接 {config['smtp_server']}:{config['smtp_port']}")
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server = smtplib.SMTP_SSL(config['smtp_server'], config['smtp_port'], timeout=15)
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else:
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print(f"[智策定时] - 使用 SMTP+TLS 连接 {config['smtp_server']}:{config['smtp_port']}")
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server = smtplib.SMTP(config['smtp_server'], config['smtp_port'], timeout=15)
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server.starttls()
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print(f"[智策定时] - 正在登录...")
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server.login(config['email_from'], config['email_password'])
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print(f"[智策定时] - 正在发送...")
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server.send_message(msg)
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server.quit()
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print(f"[智策定时] ✓ 邮件发送成功")
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return True
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except Exception as e:
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print(f"[智策定时] ✗ 邮件发送失败: {e}")
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import traceback
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traceback.print_exc()
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return False
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def _format_email_body(self, predictions, timestamp):
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"""格式化邮件正文"""
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if not predictions or predictions.get("prediction_text"):
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# 文本格式
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return f"""
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智策板块策略分析报告
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分析时间: {timestamp}
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{predictions.get('prediction_text', '暂无预测')}
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---
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本邮件由智策系统自动发送
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"""
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# JSON格式预测
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body_parts = []
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# 标题
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body_parts.append("="*60)
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body_parts.append("智策板块策略分析报告")
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body_parts.append("="*60)
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body_parts.append(f"分析时间: {timestamp}")
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body_parts.append(f"AI模型: DeepSeek Multi-Agent System")
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body_parts.append("")
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# 1. 板块多空
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long_short = predictions.get("long_short", {})
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if long_short:
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body_parts.append("="*60)
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body_parts.append("一、板块多空预测")
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body_parts.append("="*60)
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body_parts.append("")
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# 看多板块
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||
bullish = long_short.get("bullish", [])
|
||
if bullish:
|
||
body_parts.append("【看多板块】")
|
||
body_parts.append("")
|
||
for idx, item in enumerate(bullish, 1):
|
||
body_parts.append(f"{idx}. {item.get('sector', 'N/A')} (信心度: {item.get('confidence', 0)}/10)")
|
||
body_parts.append(f" 理由: {item.get('reason', 'N/A')}")
|
||
body_parts.append(f" 风险: {item.get('risk', 'N/A')}")
|
||
body_parts.append("")
|
||
|
||
# 看空板块
|
||
bearish = long_short.get("bearish", [])
|
||
if bearish:
|
||
body_parts.append("【看空板块】")
|
||
body_parts.append("")
|
||
for idx, item in enumerate(bearish, 1):
|
||
body_parts.append(f"{idx}. {item.get('sector', 'N/A')} (信心度: {item.get('confidence', 0)}/10)")
|
||
body_parts.append(f" 理由: {item.get('reason', 'N/A')}")
|
||
body_parts.append(f" 风险: {item.get('risk', 'N/A')}")
|
||
body_parts.append("")
|
||
|
||
# 2. 板块轮动
|
||
rotation = predictions.get("rotation", {})
|
||
|
||
if rotation:
|
||
body_parts.append("="*60)
|
||
body_parts.append("二、板块轮动预测")
|
||
body_parts.append("="*60)
|
||
body_parts.append("")
|
||
|
||
# 当前强势
|
||
current_strong = rotation.get("current_strong", [])
|
||
if current_strong:
|
||
body_parts.append("【当前强势板块】")
|
||
body_parts.append("")
|
||
for item in current_strong:
|
||
body_parts.append(f"• {item.get('sector', 'N/A')}")
|
||
body_parts.append(f" 轮动逻辑: {item.get('logic', 'N/A')[:100]}...")
|
||
body_parts.append(f" 时间窗口: {item.get('time_window', 'N/A')}")
|
||
body_parts.append(f" 操作建议: {item.get('advice', 'N/A')}")
|
||
body_parts.append("")
|
||
|
||
# 潜力接力
|
||
potential = rotation.get("potential", [])
|
||
if potential:
|
||
body_parts.append("【潜力接力板块】⭐ 重点关注")
|
||
body_parts.append("")
|
||
for item in potential:
|
||
body_parts.append(f"• {item.get('sector', 'N/A')}")
|
||
body_parts.append(f" 轮动逻辑: {item.get('logic', 'N/A')[:100]}...")
|
||
body_parts.append(f" 时间窗口: {item.get('time_window', 'N/A')}")
|
||
body_parts.append(f" 操作建议: {item.get('advice', 'N/A')}")
|
||
body_parts.append("")
|
||
|
||
# 3. 板块热度
|
||
heat = predictions.get("heat", {})
|
||
|
||
if heat:
|
||
body_parts.append("="*60)
|
||
body_parts.append("三、板块热度排行")
|
||
body_parts.append("="*60)
|
||
body_parts.append("")
|
||
|
||
# 最热板块
|
||
hottest = heat.get("hottest", [])
|
||
if hottest:
|
||
body_parts.append("【最热板块 TOP5】")
|
||
body_parts.append("")
|
||
for idx, item in enumerate(hottest, 1):
|
||
body_parts.append(f"{idx}. {item.get('sector', 'N/A')} - 热度: {item.get('score', 0)}分 ({item.get('trend', 'N/A')})")
|
||
body_parts.append("")
|
||
|
||
# 升温板块
|
||
heating = heat.get("heating", [])
|
||
if heating:
|
||
body_parts.append("【升温板块】")
|
||
body_parts.append("")
|
||
for idx, item in enumerate(heating, 1):
|
||
body_parts.append(f"{idx}. {item.get('sector', 'N/A')} - 热度: {item.get('score', 0)}分 ↗")
|
||
body_parts.append("")
|
||
|
||
# 4. 策略总结
|
||
summary = predictions.get("summary", {})
|
||
|
||
if summary:
|
||
body_parts.append("="*60)
|
||
body_parts.append("四、策略总结")
|
||
body_parts.append("="*60)
|
||
body_parts.append("")
|
||
|
||
if summary.get('market_view'):
|
||
body_parts.append("【市场观点】")
|
||
body_parts.append(summary['market_view'])
|
||
body_parts.append("")
|
||
|
||
if summary.get('key_opportunity'):
|
||
body_parts.append("【核心机会】⭐")
|
||
body_parts.append(summary['key_opportunity'])
|
||
body_parts.append("")
|
||
|
||
if summary.get('major_risk'):
|
||
body_parts.append("【主要风险】⚠️")
|
||
body_parts.append(summary['major_risk'])
|
||
body_parts.append("")
|
||
|
||
if summary.get('strategy'):
|
||
body_parts.append("【整体策略】")
|
||
body_parts.append(summary['strategy'])
|
||
body_parts.append("")
|
||
|
||
# 结束语
|
||
body_parts.append("="*60)
|
||
body_parts.append("本报告由智策AI系统自动生成并发送")
|
||
body_parts.append("仅供参考，不构成投资建议")
|
||
body_parts.append("="*60)
|
||
|
||
return "\n".join(body_parts)
|
||
|
||
def manual_run(self):
|
||
"""手动触发一次分析"""
|
||
print("[智策定时] 手动触发分析...")
|
||
self._run_analysis()
|
||
|
||
def get_status(self):
|
||
"""获取调度器状态"""
|
||
return {
|
||
"running": self.running,
|
||
"enabled": self.enabled,
|
||
"schedule_time": self.schedule_time,
|
||
"last_run_time": self.last_run_time,
|
||
"next_run_time": self._get_next_run_time()
|
||
}
|
||
|
||
def _get_next_run_time(self):
|
||
"""获取下次运行时间"""
|
||
if not self.running:
|
||
return None
|
||
|
||
try:
|
||
jobs = schedule.get_jobs('sector_strategy')
|
||
if jobs:
|
||
next_run = jobs[0].next_run
|
||
if next_run:
|
||
return next_run.strftime('%Y-%m-%d %H:%M:%S')
|
||
except:
|
||
pass
|
||
|
||
return None
|
||
|
||
|
||
# 创建全局实例
|
||
sector_strategy_scheduler = SectorStrategyScheduler()
|
||
|
||
|
||
# 测试函数
|
||
if __name__ == "__main__":
|
||
print("智策定时分析服务测试")
|
||
print("="*60)
|
||
|
||
# 启动定时任务（测试用，设置为当前时间后1分钟）
|
||
from datetime import datetime, timedelta
|
||
test_time = (datetime.now() + timedelta(minutes=1)).strftime("%H:%M")
|
||
|
||
print(f"设置测试时间: {test_time}")
|
||
sector_strategy_scheduler.start(test_time)
|
||
|
||
# 保持运行
|
||
try:
|
||
while True:
|
||
status = sector_strategy_scheduler.get_status()
|
||
print(f"\n状态: {status}")
|
||
time.sleep(30)
|
||
except KeyboardInterrupt:
|
||
print("\n停止测试...")
|
||
sector_strategy_scheduler.stop()
|
||
|