support keyword crawl
This commit is contained in:
765
core/keyword_crawler.py
Normal file
765
core/keyword_crawler.py
Normal file
@@ -0,0 +1,765 @@
|
||||
"""
|
||||
关键词爬虫引擎
|
||||
基于 crawler_engine.py 的关键词爬取方法改进
|
||||
"""
|
||||
|
||||
import requests
|
||||
import time
|
||||
import re
|
||||
import logging
|
||||
import os
|
||||
import urllib3
|
||||
from bs4 import BeautifulSoup
|
||||
from urllib.parse import urljoin, urlparse
|
||||
from django.conf import settings
|
||||
from django.utils import timezone
|
||||
from django.core.files.base import ContentFile
|
||||
from requests.adapters import HTTPAdapter
|
||||
from urllib3.util.retry import Retry
|
||||
from .models import Website, CrawlTask, Article
|
||||
from .utils import get_page_with_selenium, get_page_with_requests, check_keyword_in_content
|
||||
|
||||
# 禁用SSL警告
|
||||
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
|
||||
|
||||
# 设置日志记录器
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class KeywordCrawler:
|
||||
"""关键词爬虫引擎"""
|
||||
|
||||
def __init__(self, task_id, task_executor_instance=None):
|
||||
self.task = CrawlTask.objects.get(id=task_id)
|
||||
self.task_id = task_id
|
||||
self.task_executor = task_executor_instance
|
||||
self.keywords = [kw.strip() for kw in self.task.keyword.split(',') if kw.strip()] if self.task.keyword else []
|
||||
|
||||
# 创建带重试策略的会话
|
||||
self.session = requests.Session()
|
||||
self.session.headers.update({
|
||||
'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'
|
||||
})
|
||||
|
||||
# 设置重试策略
|
||||
retry_strategy = Retry(
|
||||
total=3,
|
||||
backoff_factor=1,
|
||||
status_forcelist=[429, 500, 502, 503, 504],
|
||||
)
|
||||
adapter = HTTPAdapter(max_retries=retry_strategy)
|
||||
self.session.mount("http://", adapter)
|
||||
self.session.mount("https://", adapter)
|
||||
|
||||
# 设置超时
|
||||
self.timeout = 15
|
||||
|
||||
def log(self, level, message, website=None):
|
||||
"""记录日志"""
|
||||
print(f"[{level.upper()}] {message}")
|
||||
logger.log(getattr(logging, level.upper()), f"Task {self.task.id}: {message}")
|
||||
|
||||
def is_cancelled(self):
|
||||
"""检查任务是否已被取消"""
|
||||
if self.task_executor:
|
||||
return self.task_executor.is_task_cancelled(self.task_id)
|
||||
return False
|
||||
|
||||
def update_task_status(self, status, **kwargs):
|
||||
"""更新任务状态"""
|
||||
self.task.status = status
|
||||
if status == 'running' and not self.task.started_at:
|
||||
self.task.started_at = timezone.now()
|
||||
elif status in ['completed', 'failed', 'cancelled']:
|
||||
self.task.completed_at = timezone.now()
|
||||
|
||||
for key, value in kwargs.items():
|
||||
setattr(self.task, key, value)
|
||||
self.task.save()
|
||||
|
||||
def extract_text_content(self, soup):
|
||||
"""提取文本内容，保持段落结构"""
|
||||
# 移除脚本和样式标签
|
||||
for script in soup(["script", "style"]):
|
||||
script.decompose()
|
||||
|
||||
# 处理段落标签，保持段落结构
|
||||
paragraphs = []
|
||||
|
||||
# 查找所有段落相关的标签
|
||||
for element in soup.find_all(['p', 'div', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'br']):
|
||||
if element.name in ['p', 'div']:
|
||||
text = element.get_text().strip()
|
||||
if text:
|
||||
paragraphs.append(text)
|
||||
elif element.name in ['h1', 'h2', 'h3', 'h4', 'h5', 'h6']:
|
||||
text = element.get_text().strip()
|
||||
if text:
|
||||
paragraphs.append(f"\n{text}\n") # 标题前后加换行
|
||||
elif element.name == 'br':
|
||||
paragraphs.append('\n')
|
||||
|
||||
# 如果没有找到段落标签，使用原来的方法
|
||||
if not paragraphs:
|
||||
text = soup.get_text()
|
||||
# 清理文本但保持换行
|
||||
lines = []
|
||||
for line in text.splitlines():
|
||||
line = line.strip()
|
||||
if line:
|
||||
lines.append(line)
|
||||
return '\n\n'.join(lines)
|
||||
|
||||
# 合并段落，用双换行分隔
|
||||
content = '\n\n'.join(paragraphs)
|
||||
|
||||
# 清理多余的空行
|
||||
content = re.sub(r'\n\s*\n\s*\n', '\n\n', content)
|
||||
|
||||
return content.strip()
|
||||
|
||||
def clean_url(self, url):
|
||||
"""清理和修复URL"""
|
||||
try:
|
||||
# 处理空值或None
|
||||
if not url or url is None:
|
||||
return ""
|
||||
|
||||
# 修复常见的URL问题
|
||||
# 将错误的编码字符恢复
|
||||
url = str(url).replace('%C3%97', '×') # 修复 × 字符的错误编码
|
||||
url = url.replace('%E2%80%93', '–') # 修复 – 字符的错误编码
|
||||
url = url.replace('%E2%80%94', '—') # 修复 — 字符的错误编码
|
||||
|
||||
# 解析URL并重新构建
|
||||
parsed = urlparse(url)
|
||||
|
||||
# 清理查询参数
|
||||
if parsed.query:
|
||||
# 处理查询参数中的编码问题
|
||||
from urllib.parse import parse_qs, urlencode, unquote
|
||||
query_params = parse_qs(parsed.query)
|
||||
cleaned_params = {}
|
||||
|
||||
for key, values in query_params.items():
|
||||
# 解码参数名
|
||||
clean_key = unquote(key)
|
||||
# 解码参数值
|
||||
clean_values = [unquote(val) for val in values]
|
||||
cleaned_params[clean_key] = clean_values
|
||||
|
||||
# 重新构建查询字符串
|
||||
query_string = urlencode(cleaned_params, doseq=True)
|
||||
else:
|
||||
query_string = ''
|
||||
|
||||
# 重新构建URL
|
||||
clean_url = f"{parsed.scheme}://{parsed.netloc}{parsed.path}"
|
||||
if query_string:
|
||||
clean_url += f"?{query_string}"
|
||||
if parsed.fragment:
|
||||
clean_url += f"#{parsed.fragment}"
|
||||
|
||||
return clean_url
|
||||
|
||||
except Exception as e:
|
||||
self.log('warning', f'URL清理失败: {url}, 错误: {e}')
|
||||
return url
|
||||
|
||||
def is_valid_article_url(self, url):
|
||||
"""检查是否是有效的文章URL"""
|
||||
try:
|
||||
# 排除一些明显不是文章的URL
|
||||
exclude_patterns = [
|
||||
'javascript:', 'mailto:', '#', 'tel:',
|
||||
'.pdf', '.doc', '.docx', '.xls', '.xlsx',
|
||||
'.jpg', '.jpeg', '.png', '.gif', '.svg',
|
||||
'.mp3', '.mp4', '.avi', '.mov'
|
||||
]
|
||||
|
||||
url_lower = url.lower()
|
||||
for pattern in exclude_patterns:
|
||||
if pattern in url_lower:
|
||||
return False
|
||||
|
||||
# 检查URL长度
|
||||
if len(url) < 10:
|
||||
return False
|
||||
|
||||
# 检查是否包含文章相关的关键词
|
||||
article_keywords = ['article', 'news', 'content', 'detail', 'view', 'show', 'post']
|
||||
url_lower = url.lower()
|
||||
for keyword in article_keywords:
|
||||
if keyword in url_lower:
|
||||
return True
|
||||
|
||||
# 如果URL看起来像文章ID或路径，也认为是有效的
|
||||
if any(char.isdigit() for char in url) and len(url.split('/')) > 3:
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def find_article_links(self, soup, base_url):
|
||||
"""查找文章链接"""
|
||||
links = []
|
||||
seen_urls = set() # 避免重复URL
|
||||
|
||||
# 常见的文章链接选择器
|
||||
selectors = [
|
||||
'a[href*="article"]',
|
||||
'a[href*="news"]',
|
||||
'a[href*="content"]',
|
||||
'a[href*="detail"]',
|
||||
'a[href*="view"]',
|
||||
'a[href*="show"]',
|
||||
'.news-list a',
|
||||
'.article-list a',
|
||||
'.content-list a',
|
||||
'h3 a',
|
||||
'h4 a',
|
||||
'.title a',
|
||||
'.list-item a'
|
||||
]
|
||||
|
||||
for selector in selectors:
|
||||
elements = soup.select(selector)
|
||||
for element in elements:
|
||||
href = element.get('href')
|
||||
if href:
|
||||
# 清理和修复URL
|
||||
clean_href = self.clean_url(href)
|
||||
full_url = urljoin(base_url, clean_href)
|
||||
|
||||
# 再次清理完整URL
|
||||
full_url = self.clean_url(full_url)
|
||||
|
||||
# 检查URL是否有效且未重复
|
||||
if (full_url not in seen_urls and
|
||||
self.is_valid_article_url(full_url) and
|
||||
full_url.startswith(('http://', 'https://'))):
|
||||
|
||||
title = element.get_text().strip()
|
||||
if title and len(title) > 5: # 过滤掉太短的标题
|
||||
links.append({
|
||||
'url': full_url,
|
||||
'title': title
|
||||
})
|
||||
seen_urls.add(full_url)
|
||||
|
||||
return links
|
||||
|
||||
def check_keyword_match(self, text, title):
|
||||
"""检查关键字匹配 - 改进版本"""
|
||||
matched_keywords = []
|
||||
text_lower = text.lower()
|
||||
title_lower = title.lower()
|
||||
|
||||
for keyword in self.keywords:
|
||||
keyword_lower = keyword.lower()
|
||||
# 使用改进的关键字检查函数
|
||||
if check_keyword_in_content(text, keyword) or check_keyword_in_content(title, keyword):
|
||||
matched_keywords.append(keyword)
|
||||
|
||||
return matched_keywords
|
||||
|
||||
def extract_article_content(self, url, soup):
|
||||
"""提取文章内容"""
|
||||
# 尝试多种内容选择器
|
||||
content_selectors = [
|
||||
'.article-content',
|
||||
'.content',
|
||||
'.article-body',
|
||||
'.news-content',
|
||||
'.main-content',
|
||||
'.post-content',
|
||||
'article',
|
||||
'.detail-content',
|
||||
'#content',
|
||||
'.text',
|
||||
'.box_con', # 新华网等网站使用
|
||||
'.content_area', # 央视网等网站使用
|
||||
]
|
||||
|
||||
content = ""
|
||||
for selector in content_selectors:
|
||||
element = soup.select_one(selector)
|
||||
if element:
|
||||
content = self.extract_text_content(element)
|
||||
if len(content) > 100: # 确保内容足够长
|
||||
break
|
||||
|
||||
# 如果没找到特定内容区域，使用整个页面
|
||||
if not content or len(content) < 100:
|
||||
content = self.extract_text_content(soup)
|
||||
|
||||
return content
|
||||
|
||||
def extract_publish_date(self, soup):
|
||||
"""提取发布时间"""
|
||||
date_selectors = [
|
||||
'.publish-time',
|
||||
'.pub-time',
|
||||
'.date',
|
||||
'.time',
|
||||
'.publish-date',
|
||||
'time[datetime]',
|
||||
'.article-time',
|
||||
'.news-time',
|
||||
'.post-time',
|
||||
'.create-time',
|
||||
'.update-time',
|
||||
'.time span',
|
||||
'.date span',
|
||||
'.info span',
|
||||
'.meta span',
|
||||
'.meta-info',
|
||||
'.article-info span',
|
||||
'.news-info span',
|
||||
'.content-info span',
|
||||
'.a-shijian',
|
||||
'.l-time'
|
||||
]
|
||||
|
||||
for selector in date_selectors:
|
||||
elements = soup.select(selector)
|
||||
for element in elements:
|
||||
date_text = element.get_text().strip()
|
||||
if element.get('datetime'):
|
||||
date_text = element.get('datetime')
|
||||
|
||||
# 如果文本太短或为空，跳过
|
||||
if not date_text or len(date_text) < 4:
|
||||
continue
|
||||
|
||||
# 尝试解析日期
|
||||
try:
|
||||
from datetime import datetime
|
||||
|
||||
# 清理日期文本
|
||||
date_text = re.sub(r'发布(时间|日期)[:：]?', '', date_text).strip()
|
||||
date_text = re.sub(r'时间[:：]?', '', date_text).strip()
|
||||
date_text = re.sub(r'日期[:：]?', '', date_text).strip()
|
||||
date_text = re.sub(r'发表于[:：]?', '', date_text).strip()
|
||||
date_text = re.sub(r'更新[:：]?', '', date_text).strip()
|
||||
date_text = re.sub(r'\s+', ' ', date_text).strip()
|
||||
|
||||
# 如果有 datetime 属性且是标准格式，直接使用
|
||||
if element.get('datetime'):
|
||||
datetime_attr = element.get('datetime')
|
||||
# 尝试解析常见的日期时间格式
|
||||
for fmt in [
|
||||
'%Y-%m-%d %H:%M:%S',
|
||||
'%Y-%m-%dT%H:%M:%S',
|
||||
'%Y-%m-%dT%H:%M:%S%z',
|
||||
'%Y-%m-%d %H:%M',
|
||||
'%Y-%m-%d',
|
||||
'%Y/%m/%d %H:%M:%S',
|
||||
'%Y/%m/%d %H:%M',
|
||||
'%Y/%m/%d',
|
||||
'%Y年%m月%d日 %H:%M:%S',
|
||||
'%Y年%m月%d日 %H:%M',
|
||||
'%Y年%m月%d日',
|
||||
]:
|
||||
try:
|
||||
if '%z' in fmt and '+' not in datetime_attr and datetime_attr.endswith('Z'):
|
||||
datetime_attr = datetime_attr[:-1] + '+0000'
|
||||
parsed_date = datetime.strptime(datetime_attr, fmt)
|
||||
if not timezone.is_aware(parsed_date):
|
||||
parsed_date = timezone.make_aware(parsed_date)
|
||||
return parsed_date
|
||||
except ValueError:
|
||||
continue
|
||||
|
||||
# 尝试解析从文本中提取的日期
|
||||
for fmt in [
|
||||
'%Y年%m月%d日 %H:%M:%S',
|
||||
'%Y年%m月%d日 %H:%M',
|
||||
'%Y年%m月%d日',
|
||||
'%Y-%m-%d %H:%M:%S',
|
||||
'%Y-%m-%d %H:%M',
|
||||
'%Y-%m-%d',
|
||||
'%Y/%m/%d %H:%M:%S',
|
||||
'%Y/%m/%d %H:%M',
|
||||
'%Y/%m/%d',
|
||||
'%m月%d日 %H:%M',
|
||||
'%m月%d日',
|
||||
]:
|
||||
try:
|
||||
parsed_date = datetime.strptime(date_text, fmt)
|
||||
# 如果没有年份，使用当前年份
|
||||
if '%Y' not in fmt:
|
||||
parsed_date = parsed_date.replace(year=datetime.now().year)
|
||||
if not timezone.is_aware(parsed_date):
|
||||
parsed_date = timezone.make_aware(parsed_date)
|
||||
return parsed_date
|
||||
except ValueError:
|
||||
continue
|
||||
|
||||
# 如果以上格式都不匹配，尝试使用 dateutil 解析
|
||||
try:
|
||||
from dateutil import parser
|
||||
if len(date_text) > 5 and not date_text.isdigit():
|
||||
parsed_date = parser.parse(date_text)
|
||||
if not timezone.is_aware(parsed_date):
|
||||
parsed_date = timezone.make_aware(parsed_date)
|
||||
return parsed_date
|
||||
except:
|
||||
pass
|
||||
|
||||
except Exception as e:
|
||||
self.log('debug', f'解析日期失败: {date_text}, 错误: {str(e)}')
|
||||
continue
|
||||
|
||||
return None
|
||||
|
||||
def extract_author(self, soup):
|
||||
"""提取作者信息"""
|
||||
author_selectors = [
|
||||
'.author',
|
||||
'.writer',
|
||||
'.publisher',
|
||||
'.byline',
|
||||
'.article-author',
|
||||
'.news-author',
|
||||
'.source'
|
||||
]
|
||||
|
||||
for selector in author_selectors:
|
||||
element = soup.select_one(selector)
|
||||
if element:
|
||||
return element.get_text().strip()
|
||||
|
||||
return ""
|
||||
|
||||
def download_media_file(self, media_url, article, media_type='image', alt_text=''):
|
||||
"""下载媒体文件 - 适配现有模型结构"""
|
||||
try:
|
||||
# 检查URL是否有效
|
||||
if not media_url or not media_url.startswith(('http://', 'https://')):
|
||||
return None
|
||||
|
||||
# 请求媒体文件
|
||||
response = self.session.get(
|
||||
media_url,
|
||||
timeout=self.timeout,
|
||||
verify=False,
|
||||
stream=False
|
||||
)
|
||||
response.raise_for_status()
|
||||
|
||||
# 获取文件信息
|
||||
content_type = response.headers.get('content-type', '')
|
||||
file_size = len(response.content)
|
||||
|
||||
# 确定文件扩展名
|
||||
file_extension = self.get_file_extension_from_url(media_url, content_type)
|
||||
|
||||
# 生成文件名
|
||||
existing_media_count = len(article.media_files) if article.media_files else 0
|
||||
filename = f"media_{article.id}_{existing_media_count}{file_extension}"
|
||||
|
||||
# 创建媒体文件信息字典
|
||||
media_info = {
|
||||
'type': media_type,
|
||||
'original_url': media_url,
|
||||
'filename': filename,
|
||||
'file_size': file_size,
|
||||
'mime_type': content_type,
|
||||
'alt_text': alt_text,
|
||||
'downloaded_at': timezone.now().isoformat()
|
||||
}
|
||||
|
||||
# 更新文章的媒体文件列表
|
||||
if not article.media_files:
|
||||
article.media_files = [media_info]
|
||||
else:
|
||||
article.media_files.append(media_info)
|
||||
|
||||
# 保存文件到本地（这里简化处理，实际项目中可能需要更复杂的文件存储）
|
||||
self.log('info', f'媒体文件已记录: {filename} ({media_type})')
|
||||
return media_info
|
||||
|
||||
except Exception as e:
|
||||
self.log('error', f'下载媒体文件失败 {media_url}: {str(e)}')
|
||||
return None
|
||||
|
||||
def get_file_extension_from_url(self, url, content_type):
|
||||
"""从URL或内容类型获取文件扩展名"""
|
||||
# 从URL获取扩展名
|
||||
parsed_url = urlparse(url)
|
||||
path = parsed_url.path
|
||||
if '.' in path:
|
||||
return os.path.splitext(path)[1]
|
||||
|
||||
# 从内容类型获取扩展名
|
||||
content_type_map = {
|
||||
'image/jpeg': '.jpg',
|
||||
'image/jpg': '.jpg',
|
||||
'image/png': '.png',
|
||||
'image/gif': '.gif',
|
||||
'image/webp': '.webp',
|
||||
'image/svg+xml': '.svg',
|
||||
'video/mp4': '.mp4',
|
||||
'video/avi': '.avi',
|
||||
'video/mov': '.mov',
|
||||
'video/wmv': '.wmv',
|
||||
'video/flv': '.flv',
|
||||
'video/webm': '.webm',
|
||||
'audio/mp3': '.mp3',
|
||||
'audio/wav': '.wav',
|
||||
'audio/ogg': '.ogg',
|
||||
'application/pdf': '.pdf',
|
||||
'application/msword': '.doc',
|
||||
'application/vnd.openxmlformats-officedocument.wordprocessingml.document': '.docx',
|
||||
}
|
||||
|
||||
return content_type_map.get(content_type.lower(), '.bin')
|
||||
|
||||
def extract_and_download_media(self, soup, article, base_url):
|
||||
"""提取并下载页面中的媒体文件"""
|
||||
media_files = []
|
||||
|
||||
# 提取图片
|
||||
images = soup.find_all('img')
|
||||
self.log('info', f'找到 {len(images)} 个图片标签')
|
||||
|
||||
for img in images:
|
||||
src = img.get('src')
|
||||
if src:
|
||||
# 处理相对URL
|
||||
if src.startswith('//'):
|
||||
src = 'https:' + src
|
||||
elif src.startswith('/'):
|
||||
src = urljoin(base_url, src)
|
||||
elif not src.startswith(('http://', 'https://')):
|
||||
src = urljoin(base_url, src)
|
||||
|
||||
alt_text = img.get('alt', '')
|
||||
media_file = self.download_media_file(src, article, 'image', alt_text)
|
||||
if media_file:
|
||||
media_files.append(media_file)
|
||||
|
||||
# 提取视频
|
||||
videos = soup.find_all(['video', 'source'])
|
||||
for video in videos:
|
||||
src = video.get('src')
|
||||
if src:
|
||||
# 处理相对URL
|
||||
if src.startswith('//'):
|
||||
src = 'https:' + src
|
||||
elif src.startswith('/'):
|
||||
src = urljoin(base_url, src)
|
||||
elif not src.startswith(('http://', 'https://')):
|
||||
src = urljoin(base_url, src)
|
||||
|
||||
media_file = self.download_media_file(src, article, 'video')
|
||||
if media_file:
|
||||
media_files.append(media_file)
|
||||
|
||||
return media_files
|
||||
|
||||
def crawl_website(self, website):
|
||||
"""爬取单个网站"""
|
||||
self.log('info', f'开始爬取网站: {website.name}')
|
||||
|
||||
try:
|
||||
# 请求主页
|
||||
response = self.session.get(
|
||||
website.base_url,
|
||||
timeout=self.timeout,
|
||||
verify=False
|
||||
)
|
||||
response.raise_for_status()
|
||||
|
||||
# 检查内容编码
|
||||
if response.encoding != 'utf-8':
|
||||
content_type = response.headers.get('content-type', '')
|
||||
if 'charset=' in content_type:
|
||||
charset = content_type.split('charset=')[-1]
|
||||
response.encoding = charset
|
||||
else:
|
||||
response.encoding = 'utf-8'
|
||||
|
||||
soup = BeautifulSoup(response.content, 'html.parser')
|
||||
|
||||
# 查找文章链接
|
||||
article_links = self.find_article_links(soup, website.base_url)
|
||||
self.log('info', f'找到 {len(article_links)} 个文章链接')
|
||||
|
||||
crawled_count = 0
|
||||
for link_info in article_links:
|
||||
# 检查任务是否已被取消
|
||||
if self.is_cancelled():
|
||||
self.log('info', '任务已被取消，停止处理文章')
|
||||
return crawled_count
|
||||
|
||||
try:
|
||||
# 清理和验证URL
|
||||
clean_url = self.clean_url(link_info['url'])
|
||||
|
||||
# 检查URL是否仍然有效
|
||||
if not self.is_valid_article_url(clean_url):
|
||||
self.log('warning', f'跳过无效URL: {clean_url}')
|
||||
continue
|
||||
|
||||
self.log('info', f'正在处理文章: {clean_url}')
|
||||
|
||||
# 请求文章页面
|
||||
article_response = self.session.get(
|
||||
clean_url,
|
||||
timeout=self.timeout,
|
||||
verify=False
|
||||
)
|
||||
article_response.raise_for_status()
|
||||
|
||||
# 检查内容编码
|
||||
if article_response.encoding != 'utf-8':
|
||||
content_type = article_response.headers.get('content-type', '')
|
||||
if 'charset=' in content_type:
|
||||
charset = content_type.split('charset=')[-1]
|
||||
article_response.encoding = charset
|
||||
else:
|
||||
article_response.encoding = 'utf-8'
|
||||
|
||||
article_soup = BeautifulSoup(article_response.content, 'html.parser')
|
||||
|
||||
# 提取内容
|
||||
content = self.extract_article_content(clean_url, article_soup)
|
||||
title = link_info['title']
|
||||
|
||||
# 检查关键字匹配
|
||||
matched_keywords = self.check_keyword_match(content, title)
|
||||
|
||||
if matched_keywords:
|
||||
# 提取其他信息
|
||||
publish_date = self.extract_publish_date(article_soup)
|
||||
author = self.extract_author(article_soup)
|
||||
|
||||
# 检查是否已存在相同URL的文章
|
||||
existing_article = Article.objects.filter(
|
||||
url=clean_url
|
||||
).first()
|
||||
|
||||
if existing_article:
|
||||
# 如果已存在，更新现有记录
|
||||
existing_article.title = title
|
||||
existing_article.content = content
|
||||
existing_article.pub_date = publish_date
|
||||
existing_article.media_files = [] # 重置媒体文件列表
|
||||
existing_article.save()
|
||||
|
||||
# 更新媒体文件
|
||||
media_files = self.extract_and_download_media(article_soup, existing_article, clean_url)
|
||||
|
||||
self.log('info', f'更新已存在的文章: {title[:50]}...')
|
||||
else:
|
||||
# 保存新内容
|
||||
article = Article.objects.create(
|
||||
website=website,
|
||||
title=title,
|
||||
content=content,
|
||||
url=clean_url,
|
||||
pub_date=publish_date,
|
||||
media_files=[]
|
||||
)
|
||||
|
||||
# 提取并下载媒体文件
|
||||
media_files = self.extract_and_download_media(article_soup, article, clean_url)
|
||||
|
||||
self.log('info', f'保存新文章: {title[:50]}...')
|
||||
|
||||
crawled_count += 1
|
||||
|
||||
# 请求间隔
|
||||
time.sleep(1)
|
||||
|
||||
except requests.exceptions.HTTPError as e:
|
||||
if e.response.status_code == 404:
|
||||
self.log('warning', f'文章不存在 (404): {clean_url}')
|
||||
elif e.response.status_code == 403:
|
||||
self.log('warning', f'访问被拒绝 (403): {clean_url}')
|
||||
elif e.response.status_code == 429:
|
||||
self.log('warning', f'请求过于频繁 (429): {clean_url}')
|
||||
time.sleep(5) # 等待更长时间
|
||||
else:
|
||||
self.log('error', f'HTTP错误 {e.response.status_code}: {clean_url}')
|
||||
continue
|
||||
except requests.exceptions.Timeout as e:
|
||||
self.log('warning', f'请求超时: {clean_url}')
|
||||
continue
|
||||
except requests.exceptions.ConnectionError as e:
|
||||
self.log('warning', f'连接错误: {clean_url}')
|
||||
continue
|
||||
except Exception as e:
|
||||
self.log('error', f'处理文章失败 {clean_url}: {str(e)}')
|
||||
continue
|
||||
|
||||
self.log('info', f'网站爬取完成，共保存 {crawled_count} 篇文章')
|
||||
return crawled_count
|
||||
|
||||
except Exception as e:
|
||||
self.log('error', f'爬取网站失败: {str(e)}')
|
||||
return 0
|
||||
|
||||
def run(self):
|
||||
"""运行爬取任务"""
|
||||
self.log('info', f'开始执行关键词爬取任务: {self.task.name}')
|
||||
self.update_task_status('running')
|
||||
|
||||
total_crawled = 0
|
||||
websites = self.task.websites.all()
|
||||
self.task.total_pages = websites.count()
|
||||
self.task.save()
|
||||
|
||||
for website in websites:
|
||||
# 检查任务是否已被取消
|
||||
if self.is_cancelled():
|
||||
self.log('info', '任务已被取消，停止爬取')
|
||||
self.update_task_status('cancelled', error_message='任务被取消')
|
||||
return
|
||||
|
||||
try:
|
||||
crawled_count = self.crawl_website(website)
|
||||
total_crawled += crawled_count
|
||||
self.task.crawled_pages += 1
|
||||
self.task.save()
|
||||
|
||||
# 再次检查任务是否已被取消
|
||||
if self.is_cancelled():
|
||||
self.log('info', '任务已被取消，停止爬取')
|
||||
self.update_task_status('cancelled', error_message='任务被取消')
|
||||
return
|
||||
|
||||
except Exception as e:
|
||||
self.log('error', f'爬取网站 {website.name} 时发生错误: {str(e)}')
|
||||
continue
|
||||
|
||||
# 更新任务状态
|
||||
if total_crawled > 0:
|
||||
self.update_task_status('completed')
|
||||
self.log('info', f'关键词爬取任务完成，共爬取 {total_crawled} 篇文章')
|
||||
else:
|
||||
self.update_task_status('failed', error_message='没有找到匹配的内容')
|
||||
self.log('error', '关键词爬取任务失败，没有找到匹配的内容')
|
||||
|
||||
|
||||
def run_keyword_crawl_task(task_id, task_executor_instance=None):
|
||||
"""运行关键词爬取任务"""
|
||||
try:
|
||||
crawler = KeywordCrawler(task_id, task_executor_instance)
|
||||
crawler.run()
|
||||
return f"关键词爬取任务 {task_id} 执行完成"
|
||||
except Exception as e:
|
||||
# 记录异常到日志
|
||||
logger.error(f"执行关键词爬取任务 {task_id} 时发生异常: {str(e)}", exc_info=True)
|
||||
|
||||
task = CrawlTask.objects.get(id=task_id)
|
||||
task.status = 'failed'
|
||||
task.error_message = str(e)
|
||||
task.completed_at = timezone.now()
|
||||
task.save()
|
||||
|
||||
return f"关键词爬取任务 {task_id} 执行失败: {str(e)}"
|
||||
Reference in New Issue
Block a user