181 lines
6.3 KiB
Python
181 lines
6.3 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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情报收集系统主程序（明文配置版）
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功能：
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1. 调度数据采集、处理、存储流程
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2. 生成日报/月报
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3. 异常监控和报警
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"""
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import sys
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import logging
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import time
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import threading
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from datetime import datetime
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from typing import Dict, List, Any
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# 自定义模块
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from processors.data_processor import DataProcessor
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from storage.database import IntelligenceDB
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from applications.reporter import ReportGenerator
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from applications.alert import AlertService
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from utils.logger import setup_logging
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class IntelligenceSystem:
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def __init__(self):
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# 初始化核心组件
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setup_logging()
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self.logger = logging.getLogger(__name__)
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self.db = IntelligenceDB()
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self.processor = DataProcessor()
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self.alert = AlertService()
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def run_daily_pipeline(self):
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"""每日数据采集处理流程"""
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try:
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self.logger.info("开始执行每日数据采集流程")
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# 阶段1：数据采集
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raw_data = self._collect_data()
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# 阶段2：数据处理
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processed_data = self._process_data(raw_data)
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# 阶段3：数据存储
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self._store_data(processed_data)
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# 阶段4：生成日报
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self._generate_reports()
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# 阶段5：异常检测
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self._check_alerts()
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self.logger.info("每日流程执行完成")
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except Exception as e:
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self.logger.error(f"主流程执行失败: {str(e)}", exc_info=True)
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self.alert.send_critical(f"系统异常: {str(e)}")
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def _collect_data(self) -> Dict[str, List[Dict]]:
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"""执行所有数据采集任务"""
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collected = {}
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for name, collector in self.collectors.items():
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try:
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self.logger.info(f"开始采集 {name} 数据...")
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data = collector.fetch_data({
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'keywords': '汽车后市场',
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'max_results': 100
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})
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collected[name] = data
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self.logger.info(f"{name} 采集完成，共 {len(data)} 条数据")
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except Exception as e:
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self.logger.error(f"{name} 采集器异常: {str(e)}")
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continue
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return collected
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def _process_data(self, raw_data: Dict) -> Dict:
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"""处理原始数据"""
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processed = {}
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for data_type, items in raw_data.items():
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processed[data_type] = []
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for item in items:
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try:
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# 文本数据标准处理
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if data_type in ['news', 'complaint']:
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result = self.processor.process_text(item['content'])
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processed_item = {
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**item,
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'keywords': result['keywords'],
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'category': result['category']
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}
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processed[data_type].append(processed_item)
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# 图像处理（预留接口）
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elif data_type == 'images':
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processed[data_type].append(
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self.processor.image_to_text(item)
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)
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except Exception as e:
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self.logger.warning(f"数据处理失败: {item.get('id', '')} - {str(e)}")
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continue
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return processed
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def _store_data(self, processed_data: Dict):
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"""存储到数据库"""
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for data_type, items in processed_data.items():
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success_count = 0
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for item in items:
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try:
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if self.db.insert_data(data_type, item):
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success_count += 1
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except Exception as e:
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self.logger.error(f"数据存储失败: {str(e)}")
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self.logger.info(
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f"{data_type} 数据存储完成，成功 {success_count}/{len(items)} 条"
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)
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def _generate_reports(self):
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"""生成报告并发送"""
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try:
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# 日报生成
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report_date = datetime.now().date()
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report_html = ReportGenerator(self.db).generate_daily()
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report_path = f"reports/daily_{report_date}.html"
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with open(report_path, 'w', encoding='utf-8') as f:
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f.write(report_html)
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self.logger.info(f"日报已生成: {report_path}")
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# 每月1号生成月报
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if datetime.now().day == 1:
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monthly_report = ReportGenerator(self.db).generate_monthly()
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# 这里替换为实际的邮件发送逻辑
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self.logger.info("月度报告已生成（邮件发送功能需配置）")
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except Exception as e:
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self.logger.error(f"报告生成失败: {str(e)}")
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def _check_alerts(self):
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"""检查预警信息"""
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negative_keywords = ['投诉', '造假', '违规']
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alerts = self.alert.check_negative(negative_keywords)
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if alerts:
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alert_msg = "\n".join([f"[{a['source']}] {a['content']}" for a in alerts])
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self.logger.warning(f"发现负面舆情:\n{alert_msg}")
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# 这里替换为实际的通知发送逻辑
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self.alert.send_urgent("负面舆情警报", alert_msg)
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def cleanup(self):
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"""资源清理"""
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self.db.close()
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self.logger.info("系统资源已释放")
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def run_scheduled():
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"""定时任务执行入口"""
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system = IntelligenceSystem()
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try:
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while True:
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now = datetime.now()
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if now.hour == 9 and now.minute == 0: # 每天9点执行
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system.run_daily_pipeline()
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time.sleep(60) # 避免重复执行
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time.sleep(30)
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except KeyboardInterrupt:
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system.cleanup()
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if __name__ == "__main__":
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if len(sys.argv) > 1 and sys.argv[1] == "--manual":
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# 手动执行模式
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system = IntelligenceSystem()
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try:
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system.logger.info("手动执行模式启动")
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system.run_daily_pipeline()
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finally:
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system.cleanup()
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else:
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# 定时任务模式
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print("情报收集系统已启动（定时模式）")
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print("按 Ctrl+C 退出")
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run_scheduled() |