119 lines
4.6 KiB
Python
119 lines
4.6 KiB
Python
import urllib.request
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import os
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import time
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from urllib.parse import quote
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from html.parser import HTMLParser
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import requests # type: ignore
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from bs4 import BeautifulSoup # type: ignore
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from urllib.parse import quote_plus
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class PureHTMLParser(HTMLParser):
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# ...（保持之前的HTML解析器代码不变）...
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def __init__(self, cache_dir="cache"):
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self.user_agent = "Mozilla/5.0"
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# self.parser = PureHTMLParser()
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self.cache_dir = cache_dir
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os.makedirs(cache_dir, exist_ok=True)
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def _is_cache_valid(self, cache_file):
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"""检查缓存是否有效"""
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if not os.path.exists(cache_file):
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return False
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file_time = os.path.getmtime(cache_file)
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return (time.time() - file_time) < self.cache_expiry
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def _get_cache_path(self, query: str) -> str:
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"""生成缓存文件名"""
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safe_query = "".join(c if c.isalnum() else "_" for c in query)
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return f"{self.cache_dir}/{safe_query}.txt"
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def _save_to_cache(self, query: str, data: list):
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"""保存搜索结果到缓存"""
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with open(self._get_cache_path(query), "w", encoding="utf-8") as f:
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for item in data:
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f.write(f"URL: {item['url','']}\n")
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f.write(f"Text: {'abstract', item.get('text', '')}\n")
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f.write("="*50 + "\n")
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def _load_from_cache(self, query: str) -> list:
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"""从缓存加载数据"""
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cache_file = self._get_cache_path(query)
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if not os.path.exists(cache_file):
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return None
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with open(cache_file, "r", encoding="utf-8") as f:
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content = f.read()
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# 解析缓存文件
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items = []
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for block in content.split("="*50):
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if not block.strip():
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continue
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url = text = ""
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for line in block.split("\n"):
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if line.startswith("URL: "):
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url = line[5:]
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elif line.startswith("Text: "):
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text = line[6:]
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if url:
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items.append({"url": url, "text": text})
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return items
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def fetch(self, query, force_update=False):
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# 确保有默认headers
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if not hasattr(self, 'headers'):
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self.headers = {
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
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}
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cache_file = os.path.join(self.cache_dir, f"{quote_plus(query)}.json")
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# 检查缓存是否有效
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if not force_update and os.path.exists(cache_file) and self._is_cache_valid(cache_file):
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return self._load_from_cache(cache_file)
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try:
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# 实际抓取逻辑 - 以百度搜索为例
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search_url = f"https://www.baidu.com/s?wd={quote_plus(query)}"
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response = requests.get(search_url, headers=self.headers, timeout=10)
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response.raise_for_status()
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# 解析网页内容
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soup = BeautifulSoup(response.text, 'html.parser')
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results = []
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# 提取搜索结果 - 百度搜索结果的实际选择器可能需要调整
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for item in soup.select('.result.c-container'):
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title_elem = item.select_one('h3')
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link_elem = item.find('a')
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abstract_elem = item.select_one('.c-abstract')
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if title_elem and link_elem:
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results.append({
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'title': title_elem.get_text(strip=True),
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'url': link_elem.get('href'),
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'abstract': abstract_elem.get_text(strip=True) if abstract_elem else ""
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})
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data = {
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'query': query,
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'results': results if results else [{'title': '无结果', 'url': '', 'abstract': ''}],
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'timestamp': int(time.time()),
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'sources': [search_url]
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}
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# 保存到缓存
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self._save_to_cache(cache_file, data)
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return {
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'data': data,
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'sources': ["www.baidu.com"]
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}
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except Exception as e:
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# 如果抓取失败但缓存存在，使用缓存
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if os.path.exists(cache_file):
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print(f"抓取失败，使用缓存数据: {str(e)}")
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return self._load_from_cache(cache_file)
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raise RuntimeError(f"抓取失败且无缓存可用: {str(e)}") |