232 lines
9.1 KiB
Python
232 lines
9.1 KiB
Python
"""
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产品页面爬虫
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专门处理 eRob 机器人关节和 eCoder 编码器的产品详情页
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"""
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from bs4 import BeautifulSoup
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from docx import Document
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from docx.shared import Inches
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from docx.enum.text import WD_ALIGN_PARAGRAPH
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import os
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from .base_crawler import BaseCrawler
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from .utils import safe_filename
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class ProductCrawler(BaseCrawler):
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"""
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产品页面爬虫
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针对 eRob 和 eCoder 产品页面的特殊处理
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"""
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def extract_content(self, soup: BeautifulSoup) -> BeautifulSoup | None:
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"""
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提取产品页面主内容
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产品页面结构较复杂，需要特殊处理
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"""
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# 尝试多种选择器
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selectors = [
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('div', 'eRob_page_right'), # eRob 页面右侧内容
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('div', 'eCoder_page_main'), # eCoder 页面主内容
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('div', 'product_page_main'), # 通用产品页面
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('div', 'news_text_p'), # 新闻类布局
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]
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for tag, class_name in selectors:
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content = soup.find(tag, class_=class_name)
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if content:
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return content
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# 如果都没找到，尝试从配置的选择器
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return super().extract_content(soup)
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def extract_title(self, soup: BeautifulSoup, url: str) -> str:
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"""
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提取产品页面标题
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产品页面标题可能在不同位置
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"""
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# 优先使用配置中的选择器（支持 h1, h2 等）
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selector = self.config.get("title_selector", "h1")
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index = self.config.get("title_index", 0)
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# 支持多个选择器，用逗号分隔
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selectors = [s.strip() for s in selector.split(',')]
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# 收集所有匹配的标签
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all_tags = []
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for sel in selectors:
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# 对于简单的标签名（如 "h1", "h2"），直接查找
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if sel in ['h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'title']:
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found_tags = soup.find_all(sel)
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all_tags.extend(found_tags)
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else:
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# 对于其他选择器，尝试查找
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found_tags = soup.find_all(sel)
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all_tags.extend(found_tags)
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# 优先从配置的选择器提取
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if all_tags and len(all_tags) > index:
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title = all_tags[index].get_text(strip=True)
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# 跳过网站名称
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if title and '零差云控' not in title and '零误差' not in title:
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return title
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elif all_tags:
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# 如果指定索引的标签被跳过，尝试其他标签
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for tag in all_tags:
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title = tag.get_text(strip=True)
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# 跳过网站名称
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if title and '零差云控' not in title and '零误差' not in title:
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return title
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# 尝试从页面 title 标签提取
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title_tag = soup.find('title')
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if title_tag:
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title = title_tag.get_text(strip=True)
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# 移除网站名称后缀（如 " - 零差云控"）
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if ' - ' in title:
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title = title.split(' - ')[0].strip()
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if title and title.lower() not in ['about-us', 'contact-us', 'join-us']:
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return title
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# 最后从 URL 提取
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url_part = url.split('/')[-1].replace('.html', '')
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# 将连字符替换为空格，并首字母大写
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if '-' in url_part:
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url_part = ' '.join(word.capitalize() for word in url_part.split('-'))
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return url_part
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def add_content_to_docx(self, doc: Document, content: BeautifulSoup, output_dir: str, page_title: str = None):
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"""
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将产品内容添加到 Word 文档
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针对产品页面的表格等进行优化处理
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Args:
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doc: Document 对象
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content: 内容区域
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output_dir: 输出目录（用于解析图片路径）
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page_title: 页面标题（如果提供，会跳过内容中与标题重复的h1/h2标签或包含标题的段落）
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"""
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# 如果提供了页面标题，创建内容副本并移除重复的标题元素
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if page_title:
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content = BeautifulSoup(str(content), 'html.parser')
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# 移除与标题完全相同的第一个h1
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first_h1 = content.find('h1')
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if first_h1:
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h1_text = first_h1.get_text(strip=True)
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if h1_text == page_title:
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first_h1.decompose()
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# 移除与标题完全相同的第一个h2
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first_h2 = content.find('h2')
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if first_h2:
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h2_text = first_h2.get_text(strip=True)
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if h2_text == page_title:
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first_h2.decompose()
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# 检查标题是否包含"型号："前缀，如果是，也移除内容中只包含产品名称的h2
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# 例如：标题是"型号：eCoder11"，内容中有"eCoder11"的h2
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if '型号：' in page_title or '型号:' in page_title:
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product_name = page_title.replace('型号：', '').replace('型号:', '').strip()
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if product_name:
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# 查找第一个只包含产品名称的h2
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for h2 in content.find_all('h2'):
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h2_text = h2.get_text(strip=True)
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if h2_text == product_name:
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h2.decompose()
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break # 只移除第一个匹配的
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for element in content.find_all(['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'img', 'li', 'table', 'div']):
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# 跳过嵌套元素
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if element.find_parent(['table', 'li']):
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continue
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if element.name == 'img':
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src = element.get('src', '')
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if not src.startswith('http'):
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local_path = os.path.join(output_dir, src)
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else:
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local_path = src
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if os.path.exists(local_path):
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try:
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# 图片前添加空行
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doc.add_paragraph()
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doc.add_picture(local_path, width=Inches(4.5))
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doc.paragraphs[-1].alignment = WD_ALIGN_PARAGRAPH.CENTER
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# 图片后添加空行
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doc.add_paragraph()
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except Exception as e:
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print(f" Word插入图片失败: {local_path} - {e}")
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elif element.name.startswith('h'):
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text = element.get_text(strip=True)
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if text and '零差云控' not in text:
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# HTML h1-h6 直接映射到 Word Heading 1-6
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# 限制在 1-9 范围内（Word 支持的最大标题级别）
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level = int(element.name[1])
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doc.add_heading(text, level=min(level, 9))
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elif element.name == 'table':
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# 处理表格
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self._add_table_to_docx(doc, element)
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elif element.name == 'li':
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text = element.get_text(strip=True)
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if text:
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doc.add_paragraph(f"• {text}")
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elif element.name == 'p':
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text = element.get_text(strip=True)
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if text:
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doc.add_paragraph(text)
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elif element.name == 'div':
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# 处理特殊的 div 内容块
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if element.get('class') and any('param' in c for c in element.get('class', [])):
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text = element.get_text(strip=True)
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if text:
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doc.add_paragraph(text)
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def _add_table_to_docx(self, doc: Document, table_element: BeautifulSoup):
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"""
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将 HTML 表格添加到 Word 文档
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Args:
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doc: Document 对象
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table_element: 表格元素
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"""
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rows = table_element.find_all('tr')
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if not rows:
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return
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# 获取最大列数
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max_cols = 0
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for row in rows:
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cells = row.find_all(['td', 'th'])
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max_cols = max(max_cols, len(cells))
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if max_cols == 0:
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return
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# 创建 Word 表格
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try:
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word_table = doc.add_table(rows=len(rows), cols=max_cols)
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word_table.style = 'Table Grid'
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for i, row in enumerate(rows):
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cells = row.find_all(['td', 'th'])
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for j, cell in enumerate(cells):
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if j < max_cols:
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text = cell.get_text(strip=True)
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word_table.rows[i].cells[j].text = text
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except Exception as e:
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# 如果表格创建失败，降级为文本
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print(f" 表格创建失败，降级为文本: {e}")
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for row in rows:
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cells = row.find_all(['td', 'th'])
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row_text = ' | '.join([cell.get_text(strip=True) for cell in cells])
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if row_text.strip():
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doc.add_paragraph(row_text)
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