戒酒的李白
333 lines
12 KiB
Python
333 lines
12 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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BroadTopicExtraction模块 - 主程序
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整合话题提取的完整工作流程和命令行工具
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"""
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import sys
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import asyncio
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import argparse
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from datetime import datetime, date
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from pathlib import Path
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from typing import List, Dict, Optional
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# 添加项目根目录到路径
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project_root = Path(__file__).parent.parent
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sys.path.append(str(project_root))
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try:
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from BroadTopicExtraction.get_today_news import NewsCollector, SOURCE_NAMES
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from BroadTopicExtraction.topic_extractor import TopicExtractor
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from BroadTopicExtraction.database_manager import DatabaseManager
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except ImportError as e:
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print(f"导入模块失败: {e}")
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print("请确保在项目根目录运行，并且已安装所有依赖")
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sys.exit(1)
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class BroadTopicExtraction:
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"""BroadTopicExtraction主要工作流程"""
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def __init__(self):
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"""初始化"""
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self.news_collector = NewsCollector()
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self.topic_extractor = TopicExtractor()
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self.db_manager = DatabaseManager()
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print("BroadTopicExtraction 初始化完成")
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def close(self):
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"""关闭资源"""
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if self.news_collector:
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self.news_collector.close()
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if self.db_manager:
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self.db_manager.close()
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def __enter__(self):
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return self
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def __exit__(self, exc_type, exc_val, exc_tb):
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self.close()
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async def __aenter__(self):
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return self
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async def __aexit__(self, exc_type, exc_val, exc_tb):
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self.close()
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async def run_daily_extraction(self,
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news_sources: Optional[List[str]] = None,
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max_keywords: int = 100) -> Dict:
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"""
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运行每日话题提取流程
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Args:
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news_sources: 新闻源列表，None表示使用所有支持的源
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max_keywords: 最大关键词数量
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Returns:
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包含完整提取结果的字典
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"""
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print("\n" + "=" * 80)
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print("MindSpider AI爬虫 - 每日话题提取")
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print("=" * 80)
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print(f"执行时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
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print(f"目标日期: {date.today()}")
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if news_sources:
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print(f"指定平台: {len(news_sources)} 个")
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for source in news_sources:
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source_name = SOURCE_NAMES.get(source, source)
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print(f" - {source_name}")
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else:
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print(f"爬取平台: 全部 {len(SOURCE_NAMES)} 个平台")
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print(f"关键词数: 最多 {max_keywords} 个")
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extraction_result = {
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'success': False,
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'extraction_date': date.today().isoformat(),
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'start_time': datetime.now().isoformat(),
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'news_collection': {},
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'topic_extraction': {},
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'database_save': {},
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'error': None
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}
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try:
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# 步骤1: 收集新闻
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print("\n【步骤1】收集热点新闻...")
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news_result = await self.news_collector.collect_and_save_news(
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sources=news_sources
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)
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extraction_result['news_collection'] = {
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'success': news_result['success'],
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'total_news': news_result.get('total_news', 0),
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'successful_sources': news_result.get('successful_sources', 0),
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'total_sources': news_result.get('total_sources', 0)
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}
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if not news_result['success'] or not news_result['news_list']:
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raise Exception("新闻收集失败或没有获取到新闻")
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# 步骤2: 提取关键词和生成总结
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print("\n【步骤2】提取关键词和生成总结...")
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keywords, summary = self.topic_extractor.extract_keywords_and_summary(
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news_result['news_list'],
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max_keywords=max_keywords
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)
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extraction_result['topic_extraction'] = {
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'success': len(keywords) > 0,
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'keywords_count': len(keywords),
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'keywords': keywords,
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'summary': summary
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}
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if not keywords:
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print("警告: 没有提取到有效关键词")
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# 步骤3: 保存到数据库
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print("\n【步骤3】保存分析结果到数据库...")
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save_success = self.db_manager.save_daily_topics(
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keywords, summary, date.today()
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)
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extraction_result['database_save'] = {
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'success': save_success
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}
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extraction_result['success'] = True
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extraction_result['end_time'] = datetime.now().isoformat()
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print("\n" + "=" * 80)
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print("每日话题提取流程完成!")
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print("=" * 80)
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return extraction_result
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except Exception as e:
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print(f"\n话题提取流程失败: {e}")
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extraction_result['error'] = str(e)
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extraction_result['end_time'] = datetime.now().isoformat()
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return extraction_result
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def print_extraction_results(self, extraction_result: Dict):
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"""打印提取结果"""
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print("\n" + "=" * 80)
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print("话题提取结果报告")
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print("=" * 80)
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if not extraction_result['success']:
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print(f"❌ 提取失败: {extraction_result.get('error', '未知错误')}")
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return
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# 新闻收集结果
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news_data = extraction_result.get('news_collection', {})
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print(f"📰 新闻收集: {news_data.get('total_news', 0)} 条新闻")
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print(f" 成功源数: {news_data.get('successful_sources', 0)}/{news_data.get('total_sources', 0)}")
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# 话题提取结果
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topic_data = extraction_result.get('topic_extraction', {})
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keywords = topic_data.get('keywords', [])
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summary = topic_data.get('summary', '')
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print(f"\n🔑 提取关键词: {len(keywords)} 个")
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if keywords:
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# 每行显示5个关键词
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for i in range(0, len(keywords), 5):
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keyword_group = keywords[i:i+5]
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print(f" {', '.join(keyword_group)}")
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print(f"\n📝 新闻总结:")
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print(f" {summary}")
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# 数据库保存结果
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db_data = extraction_result.get('database_save', {})
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if db_data.get('success'):
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print(f"\n💾 数据库保存: 成功")
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else:
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print(f"\n💾 数据库保存: 失败")
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print("\n" + "=" * 80)
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def get_keywords_for_crawling(self, extract_date: date = None) -> List[str]:
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"""
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获取用于爬取的关键词列表
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Args:
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extract_date: 提取日期，默认为今天
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Returns:
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关键词列表
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"""
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try:
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# 从数据库获取话题分析
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topics_data = self.db_manager.get_daily_topics(extract_date)
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if not topics_data:
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print(f"没有找到 {extract_date or date.today()} 的话题数据")
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return []
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keywords = topics_data['keywords']
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# 生成搜索关键词
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search_keywords = self.topic_extractor.get_search_keywords(keywords)
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print(f"准备了 {len(search_keywords)} 个关键词用于爬取")
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return search_keywords
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except Exception as e:
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print(f"获取爬取关键词失败: {e}")
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return []
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def get_daily_analysis(self, target_date: date = None) -> Optional[Dict]:
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"""获取指定日期的分析结果"""
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try:
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return self.db_manager.get_daily_topics(target_date)
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except Exception as e:
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print(f"获取每日分析失败: {e}")
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return None
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def get_recent_analysis(self, days: int = 7) -> List[Dict]:
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"""获取最近几天的分析结果"""
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try:
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return self.db_manager.get_recent_topics(days)
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except Exception as e:
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print(f"获取最近分析失败: {e}")
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return []
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# ==================== 命令行工具 ====================
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async def run_extraction_command(sources=None, keywords_count=100, show_details=True):
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"""运行话题提取命令"""
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try:
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async with BroadTopicExtraction() as extractor:
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# 运行话题提取
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result = await extractor.run_daily_extraction(
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news_sources=sources,
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max_keywords=keywords_count
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)
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if result['success']:
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if show_details:
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# 显示详细结果
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extractor.print_extraction_results(result)
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else:
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# 只显示简要结果
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news_data = result.get('news_collection', {})
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topic_data = result.get('topic_extraction', {})
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print(f"✅ 话题提取成功完成!")
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print(f" 收集新闻: {news_data.get('total_news', 0)} 条")
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print(f" 提取关键词: {len(topic_data.get('keywords', []))} 个")
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print(f" 生成总结: {len(topic_data.get('summary', ''))} 字符")
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# 获取爬取关键词
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crawling_keywords = extractor.get_keywords_for_crawling()
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if crawling_keywords:
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print(f"\n🔑 为DeepSentimentCrawling准备的搜索关键词:")
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print(f" {', '.join(crawling_keywords)}")
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# 保存关键词到文件
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keywords_file = project_root / "data" / "daily_keywords.txt"
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keywords_file.parent.mkdir(exist_ok=True)
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with open(keywords_file, 'w', encoding='utf-8') as f:
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f.write('\n'.join(crawling_keywords))
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print(f" 关键词已保存到: {keywords_file}")
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return True
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else:
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print(f"❌ 话题提取失败: {result.get('error', '未知错误')}")
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return False
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except Exception as e:
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print(f"❌ 执行过程中发生错误: {e}")
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return False
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def main():
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"""主函数"""
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parser = argparse.ArgumentParser(description="MindSpider每日话题提取工具")
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parser.add_argument("--sources", nargs="+", help="指定新闻源平台",
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choices=list(SOURCE_NAMES.keys()))
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parser.add_argument("--keywords", type=int, default=100, help="最大关键词数量 (默认100)")
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parser.add_argument("--quiet", action="store_true", help="简化输出模式")
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parser.add_argument("--list-sources", action="store_true", help="显示支持的新闻源")
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args = parser.parse_args()
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# 显示支持的新闻源
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if args.list_sources:
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print("支持的新闻源平台:")
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for source, name in SOURCE_NAMES.items():
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print(f" {source:<25} {name}")
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return
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# 验证参数
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if args.keywords < 1 or args.keywords > 200:
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print("关键词数量应在1-200之间")
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sys.exit(1)
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# 运行提取
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try:
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success = asyncio.run(run_extraction_command(
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sources=args.sources,
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keywords_count=args.keywords,
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show_details=not args.quiet
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))
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sys.exit(0 if success else 1)
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except KeyboardInterrupt:
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print("\n用户中断操作")
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sys.exit(1)
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if __name__ == "__main__":
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main()
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