Friendfeng
b3b036429a
renamed: FFAI/__pycache__/catch.cpython-313.pyc -> FFAICilent/__pycache__/catch.cpython-313.pyc renamed: FFAI/__pycache__/crawlers.cpython-313.pyc -> FFAICilent/__pycache__/crawlers.cpython-313.pyc renamed: FFAI/__pycache__/crawlers_core.cpython-313.pyc -> FFAICilent/__pycache__/crawlers_core.cpython-313.pyc renamed: FFAI/analyzer.py -> FFAICilent/analyzer.py renamed: FFAI/catch.py -> FFAICilent/catch.py new file: FFAICilent/cloud.py new file: FFAICilent/config/config.ini new file: FFAICilent/config/configloder.py renamed: FFAI/crawlers.py -> FFAICilent/crawlers.py renamed: FFAI/crawlers_core.py -> FFAICilent/crawlers_core.py new file: FFAICilent/local.py new file: FFAICilent/logger.py renamed: FFAI/main.py -> FFAICilent/main.py new file: FFAICilent/manger.py
96 lines
3.2 KiB
Python
96 lines
3.2 KiB
Python
# from crawlers import PureHTMLParser # type: ignore
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from analyzer import PureAnalyzer # type: ignore
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from crawlers_core import CrawlerEngine
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from catch import CacheManager
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from manger import ConnectionManager
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from utils.logger import setup_logging
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class PureInfoHunter:
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def __init__(self):
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self.cache_manager = CacheManager()
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self.crawler = CrawlerEngine(self.cache_manager)
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self.analyzer = PureAnalyzer()
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self.catch = CacheManager()
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def run(self, query: str):
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# 1. 获取数据（优先缓存）
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data = self.catch(query)
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# 2. 分析（自动检索历史缓存）
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result = self.analyzer.analyze(data, query)
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# 3. 生成报告
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report = "="*40 + "\n"
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report += f"搜索词: {query}\n"
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if result.get("related_history"):
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report += f"关联历史记录: {', '.join(result['related_history'])}\n"
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report += "\n分析结果:\n" + result["summary"] + "\n"
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report += "数据来源:\n"
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for url in result["sources"]:
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report += f"- {url}\n"
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# 保存本次报告
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self._save_report(query, report)
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return report
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def _save_report(self, query: str, content: str):
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"""保存分析报告"""
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safe_query = "".join(c if c.isalnum() else "_" for c in query)
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with open(f"reports/{safe_query}_report.txt", "w", encoding="utf-8") as f:
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f.write(content)
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print(f"报告已保存到 reports/{safe_query}_report.txt")
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def sync_local_cache(self):
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if self.mode == 'local':
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cloud_data = self.cloud.execute("get_all_updates")
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self.local.save_cache(cloud_data)
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if __name__ == "__main__":
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import sys
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import os
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os.makedirs("reports", exist_ok=True)
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# 处理参数缺失的情况
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if len(sys.argv) < 2:
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print("使用方法: python pure_main.py '搜索关键词' [force_update]")
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print("示例: python pure_main.py '人工智能' true")
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query = input("请输入要搜索的关键词: ") # 改为交互式输入
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force_update = input("是否强制更新(true/false)? ").lower() == "true"
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else:
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# query = sys.argv[1]
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force_update = len(sys.argv) > 2 and sys.argv[2].lower() == "true"
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hunter = PureInfoHunter()
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setup_logging()
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parser = argparse.ArgumentParser()
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parser.add_argument('command', help='执行指令或查询')
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parser.add_argument('--local', action='store_true',
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help='强制使用本地模式')
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args = parser.parse_args()
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manager = ConnectionManager()
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try:
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if args.local:
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manager.mode = 'local'
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result = manager.execute(args.command)
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print(f"✅ 执行成功 (模式: {manager.mode.upper()})")
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print(result)
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except Exception as e:
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print(f"❌ 执行失败: {str(e)}")
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exit(1)
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if force_update:
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print("强制更新模式（忽略缓存）")
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data = hunter.crawler.crawl(query) # 使用实际存在的方法名
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result = hunter.analyzer.analyze(data, query)
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else:
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result = hunter.run(query)
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print(result) |