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convert_today.py
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1305 lines (1132 loc) · 52.4 KB
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import os
import sys
import time
import json
import logging
import datetime
import re
import html as html_module
from pathlib import Path
import markdown
from jinja2 import Template
ARTICLE_LINK_RE = re.compile(r'^\s+-\s+\[(.+?)\]\((.+?)\)')
TOP_LEVEL_ITEM_RE = re.compile(r'^-\s+(.+)$')
SOURCE_H2_RE = re.compile(r'^##\s+(.+)$')
SITE_NAME = 'SECDaily'
SITE_TAGLINE = '每日安全资讯聚合与 AI 智能总结'
SITE_GITHUB_URL = 'https://github.com/shellsec/SECDaily'
DATE_MD_RE = re.compile(r'^\d{4}-\d{2}-\d{2}$')
CVE_RE = re.compile(r'CVE-\d{4}-\d+', re.IGNORECASE)
# 导入HTML验证模块
try:
from html_validator import validate_html_file
HTML_VALIDATOR_AVAILABLE = True
logging.info("HTML验证模块已加载")
except ImportError:
HTML_VALIDATOR_AVAILABLE = False
logging.warning("HTML验证模块未找到，将跳过HTML验证步骤")
# 配置路径
BASE_DIR = Path(__file__).parent
ARCHIVE_DIR = BASE_DIR / 'archive'
TEMPLATE_FILE = BASE_DIR / 'template.html'
INDEX_TEMPLATE_FILE = BASE_DIR / 'index_template.html'
# 配置日志
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler(BASE_DIR / "convert_today.log"),
logging.StreamHandler(sys.stdout)
]
)
logger = logging.getLogger(__name__)
def ensure_template_exists():
"""确保模板文件存在，如果不存在则创建默认模板"""
try:
if TEMPLATE_FILE.exists():
logger.info(f"模板文件已存在: {TEMPLATE_FILE}")
return True
logger.warning(f"模板文件不存在，将创建默认模板: {TEMPLATE_FILE}")
# 创建一个基本的HTML模板
default_template = """<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>{{ title }}</title>
<style>
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
line-height: 1.6;
color: #333;
max-width: 1200px;
margin: 0 auto;
padding: 20px;
}
h1 {
color: #2c3e50;
border-bottom: 2px solid #3498db;
padding-bottom: 10px;
}
h2 {
color: #2980b9;
margin-top: 30px;
}
h3 {
color: #3498db;
}
a {
color: #2980b9;
text-decoration: none;
}
a:hover {
text-decoration: underline;
}
.stats-line {
background-color: #f8f9fa;
padding: 10px;
border-radius: 5px;
margin: 20px 0;
font-size: 0.9em;
color: #666;
}
.stat-separator {
margin: 0 10px;
}
footer {
margin-top: 50px;
padding-top: 20px;
border-top: 1px solid #eee;
color: #7f8c8d;
font-size: 0.9em;
text-align: center;
}
.archive-list {
list-style-type: none;
padding-left: 0;
}
.archive-list ul {
padding-left: 20px;
}
.archive-list li {
margin-bottom: 5px;
}
code {
background-color: #f8f9fa;
padding: 2px 4px;
border-radius: 3px;
font-family: Consolas, Monaco, 'Andale Mono', monospace;
}
pre {
background-color: #f8f9fa;
padding: 15px;
border-radius: 5px;
overflow-x: auto;
}
blockquote {
border-left: 4px solid #3498db;
padding-left: 15px;
color: #555;
margin-left: 0;
padding-top: 10px;
padding-bottom: 10px;
}
img {
max-width: 100%;
height: auto;
}
table {
border-collapse: collapse;
width: 100%;
margin: 20px 0;
}
th, td {
border: 1px solid #ddd;
padding: 8px 12px;
text-align: left;
}
th {
background-color: #f2f2f2;
}
tr:nth-child(even) {
background-color: #f9f9f9;
}
</style>
</head>
<body>
<header>
<h1>{{ title }}</h1>
<p>日期: {{ date }}</p>
</header>
<main>
{{ content }}
</main>
<footer>
<p>© {{ year }} {{ site_name }}</p>
</footer>
</body>
</html>
"""
# 确保父目录存在
TEMPLATE_FILE.parent.mkdir(parents=True, exist_ok=True)
# 写入默认模板
with open(TEMPLATE_FILE, 'w', encoding='utf-8') as f:
f.write(default_template)
# 验证文件写入
if not TEMPLATE_FILE.exists():
error_msg = f"模板文件未成功创建: {TEMPLATE_FILE}"
logger.error(error_msg)
return False
logger.info(f"成功创建默认模板文件: {TEMPLATE_FILE}")
return True
except Exception as e:
logger.error(f"创建模板文件时出错: {e}")
return False
def analyze_content(md_content):
"""分析Markdown内容生成统计数据"""
try:
logger.info("开始分析Markdown内容")
if not md_content or not isinstance(md_content, str):
logger.error(f"无效的内容格式: {type(md_content)}")
return {
'total_articles': 0,
'sources': {'无效内容': 0},
'keywords': {},
'top_keywords': {'无效内容': 0},
'tag_cloud': {'无效内容': 0}
}
lines = md_content.split('\n')
stats = {
'total_articles': 0,
'sources': {},
'keywords': {}
}
# 停用词列表和安全专业术语增强
stop_words = {'the', 'a', 'an', 'and', 'or', 'but', 'is', 'are', 'was',
'were', 'be', 'been', 'being', 'in', 'on', 'at', 'to', 'for',
'of', 'by', 'with', 'about', 'from', 'as', 'into', 'like', 'through',
'after', 'over', 'between', 'out', 'against', 'during', 'without',
'before', 'under', 'around', 'among', '的', '了', '和', '与', '或',
'在', '是', '有', '被', '将', '把', '从', '对', '到', '为', '等',
'exploit', 'vulnerability', 'security', 'attack', 'remote', 'local'}
# 安全相关关键词增强模式
security_patterns = [
r'CVE-\d{4}-\d+', # CVE编号
r'\b(?:SQLi|XSS|RCE|LFI|RFI|CSRF|SSRF)\b', # 常见漏洞类型缩写
r'\b(?:buffer overflow|privilege escalation|arbitrary code execution)\b',
r'\b(?:windows|linux|wordpress|java|php|python)\b', # 常见受影响产品
]
current_source = ''
try:
import re
line_count = len(lines)
logger.info(f"开始处理 {line_count} 行内容")
for i, line in enumerate(lines):
try:
# 处理来源标题
if line.startswith('## '):
current_source = line[3:].strip()
if not current_source:
current_source = '未命名来源'
if current_source not in stats['sources']:
stats['sources'][current_source] = 0
logger.debug(f"发现新来源: {current_source}")
# 处理文章链接 - 支持多种格式
elif line.strip().startswith('- '):
# 移除前导的- 和空格
article_line = line.strip()[2:].strip()
# 检查是否是链接格式
if article_line.startswith('['):
stats['total_articles'] += 1
if current_source in stats['sources']:
stats['sources'][current_source] += 1
else:
# 如果没有明确的来源，使用默认来源
default_source = '未分类来源'
if default_source not in stats['sources']:
stats['sources'][default_source] = 0
stats['sources'][default_source] += 1
# 提取标题并分析关键词
try:
# 处理[title](url)格式
if '](' in article_line:
title = article_line.split('](')[0][1:]
# 处理[title]格式
elif article_line.endswith(']'):
title = article_line[1:-1]
else:
title = article_line
# 1. 提取显式TAG标记(格式: [TAG: xxx,yyy,zzz])
explicit_tags = []
if '[TAG:' in line:
try:
tag_part = line.split('[TAG:')[1].split(']')[0]
explicit_tags = [t.strip().lower() for t in tag_part.split(',') if t.strip()]
logger.debug(f"从文章中提取到显式标签: {explicit_tags}")
except Exception as tag_err:
logger.warning(f"提取TAG标记时出错: {tag_err}")
# 2. 提取安全相关关键词
security_keywords = []
for pattern in security_patterns:
try:
matches = re.findall(pattern, title, re.IGNORECASE)
security_keywords.extend(matches)
except Exception as pattern_err:
logger.warning(f"应用安全模式 '{pattern}' 时出错: {pattern_err}")
if security_keywords:
logger.debug(f"从文章中提取到安全关键词: {security_keywords}")
# 3. 提取普通关键词
try:
words = re.findall(r'\b\w+\b|[\u4e00-\u9fff]+', title.lower())
filtered_words = [w for w in words if len(w) > 1 and w.lower() not in stop_words]
except Exception as word_err:
logger.warning(f"提取普通关键词时出错: {word_err}")
filtered_words = []
# 合并所有关键词并统计
all_keywords = explicit_tags + security_keywords + filtered_words
for word in all_keywords:
if word and isinstance(word, str):
word_lower = word.lower()
stats['keywords'][word_lower] = stats['keywords'].get(word_lower, 0) + 1
except Exception as e:
logger.error(f"处理文章标题和关键词时出错 (行 {i+1}): {e}")
# 处理普通文本格式
else:
stats['total_articles'] += 1
if current_source in stats['sources']:
stats['sources'][current_source] += 1
else:
# 如果没有明确的来源，使用默认来源
default_source = '未分类来源'
if default_source not in stats['sources']:
stats['sources'][default_source] = 0
stats['sources'][default_source] += 1
except Exception as line_err:
logger.warning(f"处理第 {i+1} 行时出错: {line_err}")
continue
logger.info(f"内容处理完成，共找到 {stats['total_articles']} 篇文章，{len(stats['sources'])} 个来源")
# 获取Top 5关键词（用于图表）
try:
if stats['keywords']:
top_keywords = sorted(stats['keywords'].items(), key=lambda x: x[1], reverse=True)[:5]
stats['top_keywords'] = dict(top_keywords)
logger.info(f"提取了 {len(stats['keywords'])} 个关键词，Top 5: {list(stats['top_keywords'].keys())}")
# 获取Top 30关键词（用于标签云）
tag_cloud_keywords = sorted(stats['keywords'].items(), key=lambda x: x[1], reverse=True)[:30]
stats['tag_cloud'] = dict(tag_cloud_keywords)
logger.info(f"提取了 {len(stats['tag_cloud'])} 个标签云关键词")
else:
stats['top_keywords'] = {'无关键词': 0}
stats['tag_cloud'] = {'无关键词': 0}
logger.warning("未能提取到任何关键词")
except Exception as sort_err:
logger.error(f"排序关键词时出错: {sort_err}")
stats['top_keywords'] = {'排序错误': 0}
stats['tag_cloud'] = {'排序错误': 0}
# 确保至少有一个来源和关键词
if not stats['sources']:
stats['sources'] = {'未知来源': 0}
logger.warning("未能识别任何来源")
if not stats['top_keywords']:
stats['top_keywords'] = {'无关键词': 0}
logger.warning("未能提取任何关键词")
except Exception as process_err:
logger.error(f"处理内容时出错: {process_err}")
stats = {
'total_articles': 0,
'sources': {'处理错误': 0},
'keywords': {},
'top_keywords': {'处理错误': 0},
'tag_cloud': {'处理错误': 0}
}
return stats
except Exception as e:
logger.error(f"内容分析过程中发生严重错误: {e}")
return {
'total_articles': 0,
'sources': {'分析错误': 0},
'keywords': {},
'top_keywords': {'分析错误': 0},
'tag_cloud': {'分析错误': 0}
}
def convert_md_to_html(md_file, html_file):
"""转换单个Markdown文件为HTML"""
try:
logger.info(f"开始转换文件: {md_file} -> {html_file}")
# 检查模板文件是否存在
if not TEMPLATE_FILE.exists():
error_msg = f"模板文件不存在: {TEMPLATE_FILE}"
logger.error(error_msg)
raise FileNotFoundError(error_msg)
# 读取Markdown文件
try:
with open(md_file, 'r', encoding='utf-8') as f:
md_content = f.read()
logger.info(f"成功读取Markdown文件: {md_file}")
except Exception as e:
logger.error(f"读取Markdown文件失败: {e}")
raise
# 提取资讯日期与页面标题
report_date = md_file.stem
if DATE_MD_RE.match(report_date):
title = f'每日安全资讯（{report_date}）'
else:
title = report_date
generated_at = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
# 结构化解析并生成统计
try:
sources = parse_md_sources(md_content)
stats = compute_stats_from_sources(sources)
logger.info(
f"内容分析完成，共 {stats['total_articles']} 篇文章，"
f"{stats['total_sources']} 个来源，{stats['cve_count']} 条 CVE"
)
except Exception as e:
logger.error(f"内容分析失败: {e}")
sources = []
stats = {
'total_articles': 0,
'total_sources': 0,
'cve_count': 0,
'sources': {},
'keywords': {},
'top_keywords': {},
'tag_cloud': {},
}
tag_cloud = build_tag_cloud(stats.get('tag_cloud', {}))
stats_html = f'''<div class="stats-line">
<span>{stats['total_articles']} 篇文章</span>
<span class="stat-separator">|</span>
<span>{stats['total_sources']} 个来源</span>
<span class="stat-separator">|</span>
<span>{stats['cve_count']} 条 CVE</span>
<span class="stat-separator">|</span>
<span>页面更新: {generated_at}</span>
</div>'''
try:
html_content = render_structured_html(sources)
logger.info("结构化 HTML 渲染成功")
except Exception as e:
logger.error(f"结构化 HTML 渲染失败: {e}")
html_content = f"<p>内容渲染失败: {html_module.escape(str(e))}</p>"
# 尝试加载AI总结（需要先检查是否启用）
ai_summary_html = None
try:
# 检查是否启用AI总结功能
ai_enabled = False
try:
config_path = BASE_DIR / 'config.json'
if config_path.exists():
with open(config_path, 'r', encoding='utf-8') as f:
config = json.load(f)
ai_enabled = config.get('AISummary', {}).get('enabled', False)
logger.info(f"AI总结功能状态: {'启用' if ai_enabled else '禁用'}")
except Exception as e:
logger.warning(f"读取配置文件失败: {e}")
# 如果读取失败，默认不启用
# 只有在启用的情况下才加载AI总结
if ai_enabled:
# 从文件名提取日期 (格式: YYYY-MM-DD.md)
date_match = re.search(r'(\d{4}-\d{2}-\d{2})', md_file.name)
if date_match:
date_str = date_match.group(1)
# 查找对应的AISummary文件
summary_file = md_file.parent / f'AISummary{date_str}.md'
if summary_file.exists():
logger.info(f"找到AI总结文件: {summary_file}")
with open(summary_file, 'r', encoding='utf-8') as f:
summary_content = f.read()
# 跳过标题行,提取总结内容
lines = summary_content.split('\n')
# 找到第一个---分隔符后的内容
start_idx = 0
for i, line in enumerate(lines):
if line.strip() == '---':
start_idx = i + 1
break
# 提取总结内容部分
summary_text = '\n'.join(lines[start_idx:]).strip()
if summary_text:
# 将Markdown转换为HTML
ai_summary_html = markdown.markdown(summary_text)
logger.info("AI总结内容已加载并转换为HTML")
else:
logger.warning("AI总结文件存在但内容为空")
else:
logger.info(f"未找到AI总结文件: {summary_file}")
else:
logger.warning(f"无法从文件名提取日期: {md_file.name}")
else:
logger.info("AI总结功能未启用，跳过加载AI总结")
except Exception as e:
logger.warning(f"加载AI总结时出错: {e}")
# AI总结加载失败不影响主流程
ai_summary_html = None
# 使用模板渲染
try:
with open(TEMPLATE_FILE, 'r', encoding='utf-8') as f:
template_content = f.read()
template = Template(template_content)
full_html = template.render(
title=title,
report_date=report_date,
generated_at=generated_at,
total_articles=stats['total_articles'],
total_sources=stats['total_sources'],
cve_count=stats['cve_count'],
content=stats_html + html_content,
ai_summary=ai_summary_html,
tag_cloud=tag_cloud,
year=datetime.datetime.now().year,
site_name=SITE_NAME,
site_tagline=SITE_TAGLINE,
github_url=SITE_GITHUB_URL,
)
logger.info("模板渲染成功")
except Exception as e:
logger.error(f"模板渲染失败: {e}")
# 创建一个简单的HTML作为备用
full_html = f"""<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>{title}</title>
</head>
<body>
<h1>{title}</h1>
<p>资讯日期: {report_date}</p>
<p>页面更新: {generated_at}</p>
{stats_html}
{html_content}
<footer>
<p>© {datetime.datetime.now().year} {SITE_NAME}</p>
</footer>
</body>
</html>"""
# 确保目录存在
try:
html_file.parent.mkdir(parents=True, exist_ok=True)
logger.info(f"确保目录存在: {html_file.parent}")
except Exception as e:
logger.error(f"创建目录失败: {e}")
raise
# 写入HTML文件并验证
try:
with open(html_file, 'w', encoding='utf-8') as f:
f.write(full_html)
# 验证文件写入
if not html_file.exists():
error_msg = f"文件未成功创建: {html_file}"
logger.error(error_msg)
raise IOError(error_msg)
with open(html_file, 'r', encoding='utf-8') as f:
written_content = f.read()
if len(written_content) < 100: # 简单检查文件内容是否太短
error_msg = f"文件内容可能不完整: {html_file}"
logger.warning(error_msg)
logger.info(f"成功写入HTML文件: {html_file}")
return True
except Exception as e:
logger.error(f"写入HTML文件失败: {e}")
raise
except Exception as e:
logger.error(f"转换过程中发生错误: {e}")
return False
def find_today_file():
"""查找当天的Markdown文件，如果不存在则尝试查找最近的文件"""
try:
today = datetime.datetime.now()
year_dir = ARCHIVE_DIR / str(today.year)
today_str = today.strftime('%Y-%m-%d')
logger.info(f"开始查找日期为 {today_str} 的文件")
# 检查年份目录是否存在，如果不存在则创建
try:
if not year_dir.exists():
logger.info(f"未找到当年目录，创建: {year_dir}")
year_dir.mkdir(parents=True, exist_ok=True)
else:
logger.info(f"当年目录已存在: {year_dir}")
except Exception as e:
logger.error(f"创建年份目录时出错: {e}")
raise
md_file = year_dir / f"{today_str}.md"
# 检查当天文件是否存在且有效
if md_file.exists():
try:
# 验证文件是否可读且不为空
with open(md_file, 'r', encoding='utf-8') as f:
content = f.read().strip()
if content:
logger.info(f"找到当天的有效文件: {md_file}")
return md_file
else:
logger.warning(f"当天的文件存在但为空: {md_file}")
except Exception as e:
logger.error(f"读取当天文件时出错: {e}")
else:
logger.info(f"未找到当天的文件: {md_file}")
# 尝试查找最近的文件（最多往前查找7天）
logger.info("开始查找最近7天内的文件...")
for i in range(1, 8):
try:
prev_date = today - datetime.timedelta(days=i)
prev_year_dir = ARCHIVE_DIR / str(prev_date.year)
prev_date_str = prev_date.strftime('%Y-%m-%d')
# 如果跨年，检查并创建新的年份目录
if not prev_year_dir.exists():
logger.info(f"跨年检查 - 创建年份目录: {prev_year_dir}")
prev_year_dir.mkdir(parents=True, exist_ok=True)
prev_md_file = prev_year_dir / f"{prev_date_str}.md"
if prev_md_file.exists():
try:
# 验证文件是否可读且不为空
with open(prev_md_file, 'r', encoding='utf-8') as f:
content = f.read().strip()
if content:
logger.info(f"找到最近的有效文件: {prev_md_file} ({i}天前)")
return prev_md_file
else:
logger.warning(f"找到的文件为空: {prev_md_file}")
except Exception as e:
logger.error(f"读取文件时出错: {prev_md_file} - {e}")
continue
else:
logger.debug(f"未找到{i}天前的文件: {prev_md_file}")
except Exception as e:
logger.error(f"查找{i}天前的文件时出错: {e}")
continue
logger.warning("未找到最近7天内的任何有效Markdown文件")
return None
except Exception as e:
logger.error(f"查找文件过程中发生严重错误: {e}")
return None
def parse_md_sources(md_content):
"""将 Markdown 日报解析为按来源分组的有序结构"""
sources = []
current_source = None
def append_article(title, url):
nonlocal current_source
if not title or not url:
return
if current_source is None:
current_source = {'name': '未分类', 'articles': []}
sources.append(current_source)
current_source['articles'].append({
'title': title.strip(),
'url': url.strip(),
'has_cve': bool(CVE_RE.search(title)),
})
for line in md_content.split('\n'):
if line.startswith('# '):
continue
h2_match = SOURCE_H2_RE.match(line)
if h2_match:
name = h2_match.group(1).strip() or '未命名来源'
current_source = {'name': name, 'articles': []}
sources.append(current_source)
continue
if line.startswith(' - '):
article_match = ARTICLE_LINK_RE.match(line)
if article_match:
append_article(article_match.group(1), article_match.group(2))
continue
top_match = TOP_LEVEL_ITEM_RE.match(line)
if top_match and not line.startswith(' '):
content = top_match.group(1).strip()
if content.startswith('[') and '](' in content:
append_article(content.split('](')[0][1:], content.split('](')[1].rstrip(')'))
elif content:
current_source = {'name': content, 'articles': []}
sources.append(current_source)
return sources
def compute_stats_from_sources(sources):
"""基于结构化来源数据生成统计与标签云"""
stop_words = {
'the', 'a', 'an', 'and', 'or', 'but', 'is', 'are', 'was', 'were', 'be', 'been', 'being',
'in', 'on', 'at', 'to', 'for', 'of', 'by', 'with', 'about', 'from', 'as', 'into', 'like',
'through', 'after', 'over', 'between', 'out', 'against', 'during', 'without', 'before',
'under', 'around', 'among', '的', '了', '和', '与', '或', '在', '是', '有', '被', '将',
'把', '从', '对', '到', '为', '等', 'exploit', 'vulnerability', 'security', 'attack',
'remote', 'local',
}
security_patterns = [
r'CVE-\d{4}-\d+',
r'\b(?:SQLi|XSS|RCE|LFI|RFI|CSRF|SSRF)\b',
r'\b(?:buffer overflow|privilege escalation|arbitrary code execution)\b',
r'\b(?:windows|linux|wordpress|java|php|python)\b',
]
stats = {
'total_articles': 0,
'total_sources': len(sources),
'cve_count': 0,
'sources': {},
'keywords': {},
}
for source in sources:
name = source['name']
stats['sources'][name] = len(source['articles'])
for article in source['articles']:
stats['total_articles'] += 1
if article.get('has_cve'):
stats['cve_count'] += 1
title = article['title']
security_keywords = []
for pattern in security_patterns:
security_keywords.extend(re.findall(pattern, title, re.IGNORECASE))
words = re.findall(r'\b\w+\b|[\u4e00-\u9fff]+', title.lower())
filtered_words = [w for w in words if len(w) > 1 and w.lower() not in stop_words]
for word in security_keywords + filtered_words:
if word:
key = word.lower()
stats['keywords'][key] = stats['keywords'].get(key, 0) + 1
if stats['keywords']:
top_keywords = sorted(stats['keywords'].items(), key=lambda x: x[1], reverse=True)[:5]
stats['top_keywords'] = dict(top_keywords)
tag_cloud_keywords = sorted(stats['keywords'].items(), key=lambda x: x[1], reverse=True)[:30]
stats['tag_cloud'] = dict(tag_cloud_keywords)
else:
stats['top_keywords'] = {}
stats['tag_cloud'] = {}
return stats
def source_section_id(index, name):
slug = re.sub(r'[^\w\u4e00-\u9fff-]+', '-', name.strip()).strip('-')[:40]
return f'source-{index}-{slug}' if slug else f'source-{index}'
def render_structured_html(sources):
"""将来源分组数据渲染为带 h2 目录的结构化 HTML"""
if not sources:
return '<p class="daily-empty">今日暂无安全资讯更新</p>'
parts = ['<div class="daily-feed" id="dailyFeed">']
for index, source in enumerate(sources):
section_id = source_section_id(index, source['name'])
safe_name = html_module.escape(source['name'])
count = len(source['articles'])
parts.append(
f'<section class="source-section" data-source="{safe_name}" id="{section_id}">'
)
parts.append(
f'<h2>{safe_name} <span class="source-count">{count}</span></h2>'
)
parts.append('<ul class="article-list">')
for article in source['articles']:
safe_title = html_module.escape(article['title'])
safe_url = html_module.escape(article['url'], quote=True)
title_attr = html_module.escape(article['title'], quote=True)
source_attr = html_module.escape(source['name'], quote=True)
cve_badge = '<span class="cve-badge">CVE</span> ' if article.get('has_cve') else ''
search_text = html_module.escape(article['title'].lower())
cve_flag = 'true' if article.get('has_cve') else 'false'
parts.append(
f'<li class="article-item{" is-cve" if article.get("has_cve") else ""}" '
f'data-title="{search_text}">'
f'<a class="article-link" href="{safe_url}" target="_blank" rel="noopener noreferrer">'
f'{cve_badge}{safe_title}</a>'
f'<span class="item-ai-jump">'
f'<button type="button" class="item-ai-btn item-ai-chatgpt" data-ai="chatgpt" '
f'data-article-title="{title_attr}" data-article-url="{safe_url}" '
f'data-article-source="{source_attr}" data-article-cve="{cve_flag}" '
f'aria-label="用 ChatGPT 分析此条">ChatGPT</button>'
f'<button type="button" class="item-ai-btn item-ai-gemini" data-ai="gemini" '
f'data-article-title="{title_attr}" data-article-url="{safe_url}" '
f'data-article-source="{source_attr}" data-article-cve="{cve_flag}" '
f'aria-label="用 Gemini 分析此条">Gemini</button>'
f'<button type="button" class="item-ai-btn item-ai-deepseek" data-ai="deepseek" '
f'data-article-title="{title_attr}" data-article-url="{safe_url}" '
f'data-article-source="{source_attr}" data-article-cve="{cve_flag}" '
f'aria-label="用 DeepSeek 分析此条">DeepSeek</button>'
f'</span></li>'
)
parts.append('</ul></section>')
parts.append('</div>')
return '\n'.join(parts)
def build_tag_cloud(tag_cloud_raw):
"""将关键词频次映射为标签云尺寸"""
tag_cloud = []
if not tag_cloud_raw:
return tag_cloud
max_count = max(tag_cloud_raw.values())
min_count = min(tag_cloud_raw.values())
range_count = max_count - min_count if max_count > min_count else 1
for keyword, count in tag_cloud_raw.items():
if range_count > 0:
normalized = int(((count - min_count) / range_count) * 5 + 1)
else:
normalized = 3
normalized = max(1, min(6, normalized))
tag_cloud.append({
'keyword': keyword,
'count': count,
'size': normalized,
})
return tag_cloud
def parse_md_articles(md_content, date_str, page_path):
"""从 Markdown 日报中解析文章标题、来源与链接"""
articles = []
page = page_path.replace('\\', '/')
for source in parse_md_sources(md_content):
for article in source['articles']:
articles.append({
'title': article['title'],
'url': article['url'],
'source': source['name'],
'date': date_str,
'page': page,
})
return articles
def build_search_index():
"""扫描归档 Markdown，生成全站标题搜索索引"""
try:
logger.info('开始生成全站标题搜索索引')
if not ARCHIVE_DIR.exists():
logger.warning(f'归档目录不存在: {ARCHIVE_DIR}')
return False
index_entries = []
for md_file in sorted(ARCHIVE_DIR.rglob('*.md')):
if md_file.name.startswith('AISummary'):
continue
date_str = md_file.stem
if not DATE_MD_RE.match(date_str):
continue
try:
with open(md_file, 'r', encoding='utf-8') as f:
md_content = f.read()
except Exception as e:
logger.warning(f'读取 Markdown 失败，跳过: {md_file} - {e}')
continue
rel_page = md_file.with_suffix('.html').relative_to(ARCHIVE_DIR).as_posix()
index_entries.extend(parse_md_articles(md_content, date_str, rel_page))
index_entries.sort(key=lambda item: (item['date'], item['title']), reverse=True)
index_file = ARCHIVE_DIR / 'search-index.json'
with open(index_file, 'w', encoding='utf-8') as f:
json.dump({
'updated_at': datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
'total': len(index_entries),
'articles': index_entries,
}, f, ensure_ascii=False, indent=2)
logger.info(f'搜索索引生成完成: {index_file}，共 {len(index_entries)} 条')
return True
except Exception as e:
logger.error(f'生成搜索索引失败: {e}')
return False
def generate_index_html():
"""生成美化的索引页面"""
try:
logger.info("开始生成归档索引页面")
# 确保归档目录存在
if not ARCHIVE_DIR.exists():
logger.warning(f"归档目录不存在，创建目录: {ARCHIVE_DIR}")
ARCHIVE_DIR.mkdir(parents=True, exist_ok=True)
# 获取所有年份目录
try:
years = sorted([d.name for d in ARCHIVE_DIR.iterdir() if d.is_dir()], reverse=True)
logger.info(f"找到 {len(years)} 个年份目录")
if not years:
logger.warning("未找到任何年份目录")
years = [str(datetime.datetime.now().year)]
except Exception as e:
logger.error(f"扫描年份目录时出错: {e}")
years = [str(datetime.datetime.now().year)]
# 生成索引内容
try:
current_time = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
index_content = ""
total_files = 0
all_urls = [] # 用于生成sitemap
all_articles = [] # 用于最近 N 天快捷入口
recent_days = []
for year in years:
year_dir = ARCHIVE_DIR / year
if not year_dir.exists():
logger.warning(f"年份目录不存在: {year_dir}")
year_dir.mkdir(parents=True, exist_ok=True)
continue
try:
all_md_files = year_dir.glob('*.md')
md_files = sorted([f for f in all_md_files if not f.name.startswith('AISummary')], reverse=True)
if not md_files:
logger.info(f"年份 {year} 没有找到Markdown文件")
continue
index_content += f'<div class="year-section" id="year-{year}">'
index_content += f'<div class="year-title">{year}年</div>'
index_content += f'<div class="article-grid">'
for md_file in md_files:
html_file = md_file.with_suffix('.html')
rel_path = os.path.join(year, html_file.name)
date_str = md_file.stem
all_urls.append(rel_path)
index_content += f'''<a href="{rel_path}" class="article-card" target="_blank" data-date="{date_str}">
<div class="article-date">{date_str}</div>
<div class="article-title">安全资讯日报</div>
</a>'''
total_files += 1
all_articles.append({
'date': date_str,
'path': rel_path.replace('\\', '/'),
'year': year,
})
index_content += '</div></div>'
except Exception as e:
logger.error(f"处理年份 {year} 时出错: {e}")
continue
all_articles.sort(key=lambda x: x['date'], reverse=True)
recent_days = all_articles[:7]
logger.info(f"索引内容生成完成，共 {total_files} 个文件")
except Exception as e:
logger.error(f"生成索引内容时出错: {e}")
index_content = f"<div class='content'><h1>安全资讯归档</h1><p>生成索引时出错: {str(e)}</p></div>"
all_urls = []