增强 Gemini 总结模板资讯密度与统计展示

- 新增模板统计视图模型,接入消息总数/活跃人数/文本量/媒体量等核心指标\n- 追加深度统计卡片(Links/Emoji/Video/Sections/Bullets/Quotes/Code)并展示活跃等级\n- 从结构化章节提取话题雷达标签与核心看点,提升信息可读性\n- 调整模板为高信息密度布局,参考 gemini-code 风格进行 KPI、标签与双栏信息区展示\n- 模板模式下停止在正文拼接群概览与 tokens 文本,改由可视化卡片与页脚指标展示\n- 完善渲染链路参数传递:message_stats 与 metadata 全量传入模板渲染
This commit is contained in:
liuwei
2026-04-23 10:12:55 +08:00
parent dfe7d20e1e
commit 845b58ecc8
2 changed files with 627 additions and 116 deletions

View File

@@ -516,11 +516,393 @@ class MessageSummaryPlugin(MessagePluginInterface):
rendered = "".join(html_parts)
return cls._sanitize_rendered_html(rendered)
def _render_summary_template_html(self, group_name: str, summary_text: str) -> str:
@staticmethod
def _strip_markdown_inline(text: str) -> str:
"""清理行内 Markdown 标记,输出可直接展示的纯文本。
设计说明:
1. 仅处理常见行内语法(粗体/斜体/代码/链接),避免把模板渲染复杂度继续堆高;
2. 不在这里做 HTML 生成,保证“结构化渲染层”始终输出纯文本;
3. 处理后再交给模板做自动转义,避免注入风险。
"""
cleaned = str(text or "").strip()
if not cleaned:
return ""
# 图片语法:![alt](url) -> alt
cleaned = re.sub(r"!\[([^\]]*)\]\([^)]+\)", r"\1", cleaned)
# 链接语法:[text](url) -> text
cleaned = re.sub(r"\[([^\]]+)\]\([^)]+\)", r"\1", cleaned)
# 行内代码:`code` -> code
cleaned = re.sub(r"`([^`]+)`", r"\1", cleaned)
# 粗体/斜体标记清理
cleaned = re.sub(r"(\*\*|__)(.*?)\1", r"\2", cleaned)
cleaned = re.sub(r"(\*|_)(.*?)\1", r"\2", cleaned)
# 删除零宽字符,避免昵称或内容出现布局异常。
cleaned = re.sub(r"[\u200b-\u200f\u2060\ufeff]", "", cleaned)
return cleaned.strip()
@classmethod
def _extract_llm_payload_text(cls, summary_text: str) -> str:
"""从 LLM 返回文本中提取真正的总结正文。
兼容场景:
1. 直接返回 Markdown 正文;
2. 返回 JSON 字符串(如 {"text":"..."}
3. 返回被双引号包裹且含转义换行的字符串。
"""
text = str(summary_text or "").strip()
if not text:
return ""
# 第一层:尝试按 JSON 解析外层包装。
try:
if (text.startswith("{") and text.endswith("}")) or (text.startswith("[") and text.endswith("]")):
payload = json.loads(text)
if isinstance(payload, dict):
for key in ("text", "summary", "answer", "content", "result"):
value = payload.get(key)
if isinstance(value, str) and value.strip():
return value.strip()
if isinstance(payload, str) and payload.strip():
return payload.strip()
except Exception:
pass
# 第二层:处理被引号包裹的 JSON 字符串(例如 "\"# 标题\\n内容\"")。
try:
if text.startswith('"') and text.endswith('"'):
decoded = json.loads(text)
if isinstance(decoded, str) and decoded.strip():
return decoded.strip()
except Exception:
pass
return text
@classmethod
def _build_summary_layout_data(cls, summary_text: str) -> Dict[str, Any]:
"""把 LLM 总结文本重排为模板可直接消费的结构化数据。
输出结构:
- lead: 导语文本(通常来自一级标题后的首段)
- sections: 分节内容,每节包含 title + items
- fallback_text: 兜底纯文本(解析失败时仍可展示)
"""
raw_text = cls._extract_llm_payload_text(summary_text)
lines = [line.rstrip() for line in str(raw_text or "").splitlines()]
# 标准化:去除分隔线与空白噪音,减少模板渲染无效块。
normalized_lines: List[str] = []
for raw_line in lines:
line = str(raw_line or "").strip()
if not line:
normalized_lines.append("")
continue
if re.fullmatch(r"[-*_]{3,}", line):
# Markdown 横线仅用于语义分隔,结构化渲染里直接跳过。
continue
normalized_lines.append(line)
document_title = ""
lead_lines: List[str] = []
sections: List[Dict[str, Any]] = []
current_section: Optional[Dict[str, Any]] = None
paragraph_buffer: List[str] = []
in_code_block = False
code_lines: List[str] = []
def flush_paragraph() -> None:
"""把段落缓存写入当前分节。"""
nonlocal paragraph_buffer, current_section
if not paragraph_buffer:
return
paragraph_text = cls._strip_markdown_inline(" ".join(paragraph_buffer).strip())
paragraph_buffer = []
if not paragraph_text:
return
if current_section is None:
lead_lines.append(paragraph_text)
return
current_section["items"].append({"kind": "paragraph", "text": paragraph_text})
def ensure_section(title: str) -> None:
"""确保当前分节存在,并切换到新分节。"""
nonlocal current_section
clean_title = cls._strip_markdown_inline(title) or "未命名章节"
current_section = {"title": clean_title, "items": []}
sections.append(current_section)
for line in normalized_lines:
# 代码块开始/结束处理。
if line.startswith("```"):
flush_paragraph()
if in_code_block:
if current_section is None:
ensure_section("代码片段")
code_text = "\n".join(code_lines).strip()
if code_text:
current_section["items"].append({"kind": "code", "text": code_text})
code_lines = []
in_code_block = False
else:
in_code_block = True
code_lines = []
continue
if in_code_block:
code_lines.append(line)
continue
if not line:
flush_paragraph()
continue
# 一级标题:用于页面主标题文案,不作为分节。
h1_match = re.match(r"^#\s+(.+)$", line)
if h1_match:
flush_paragraph()
title_text = cls._strip_markdown_inline(h1_match.group(1))
if title_text:
document_title = title_text
continue
# 二级及以下标题统一作为分节标题。
section_match = re.match(r"^#{2,6}\s+(.+)$", line)
if section_match:
flush_paragraph()
ensure_section(section_match.group(1))
continue
# 有些模型会输出“1. 标题”这种无井号标题,识别后转成分节。
numeric_heading_match = re.match(r"^\d+[.)、]\s+(.+)$", line)
if numeric_heading_match and len(cls._strip_markdown_inline(numeric_heading_match.group(1))) <= 40:
flush_paragraph()
ensure_section(numeric_heading_match.group(1))
continue
# 引用块。
quote_match = re.match(r"^>\s*(.+)$", line)
if quote_match:
flush_paragraph()
if current_section is None:
ensure_section("精选引用")
quote_text = cls._strip_markdown_inline(quote_match.group(1))
if quote_text:
current_section["items"].append({"kind": "quote", "text": quote_text})
continue
# 无序列表。
bullet_match = re.match(r"^[-*+]\s+(.+)$", line)
if bullet_match:
flush_paragraph()
if current_section is None:
ensure_section("重点清单")
bullet_text = cls._strip_markdown_inline(bullet_match.group(1))
if bullet_text:
current_section["items"].append({"kind": "bullet", "text": bullet_text})
continue
# 有序列表作为 bullet 统一渲染,避免复杂列表嵌套导致样式凌乱。
ordered_match = re.match(r"^\d+[.)]\s+(.+)$", line)
if ordered_match:
flush_paragraph()
if current_section is None:
ensure_section("重点清单")
ordered_text = cls._strip_markdown_inline(ordered_match.group(1))
if ordered_text:
current_section["items"].append({"kind": "bullet", "text": ordered_text})
continue
# 其余内容按段落累计,遇到空行或结构标记时再落盘。
paragraph_buffer.append(line)
flush_paragraph()
if in_code_block and code_lines:
if current_section is None:
ensure_section("代码片段")
code_text = "\n".join(code_lines).strip()
if code_text:
current_section["items"].append({"kind": "code", "text": code_text})
# 清理空章节,并过滤“统计注入段”等不需要重复展示的标题。
skip_titles = {"群概览", "tokens", "统计信息", "消息统计"}
cleaned_sections: List[Dict[str, Any]] = []
for section in sections:
if not section.get("items"):
continue
title_text = str(section.get("title") or "").strip().lower()
if title_text in skip_titles:
continue
cleaned_sections.append(section)
# 导语优先使用 lead_lines否则取首个章节首条保证顶部一定有可读摘要。
lead = " ".join(lead_lines).strip()
if not lead and cleaned_sections:
first_items = cleaned_sections[0].get("items") or []
if first_items:
lead = str(first_items[0].get("text", "")).strip()
if not lead:
lead = "暂无总结内容。"
# 模板兜底纯文本:用于极端解析失败场景。
fallback_text = cls._strip_markdown_inline(
"\n".join([line for line in normalized_lines if line]).strip()
) or "暂无总结内容。"
return {
"document_title": document_title,
"lead": lead,
"sections": cleaned_sections,
"fallback_text": fallback_text,
}
@staticmethod
def _to_int(value: Any) -> int:
"""安全转换为整数,避免模板渲染阶段因脏数据抛错。"""
try:
return int(value or 0)
except Exception:
return 0
@classmethod
def _build_summary_template_metrics(
cls,
message_stats: Optional[Dict[str, Any]],
layout_data: Dict[str, Any],
metadata: Optional[Dict[str, Any]] = None,
) -> Dict[str, Any]:
"""构建 Gemini 模板高信息密度展示所需的统计视图数据。"""
# 说明:
# 1. 该函数专注“模板展示层”数据准备,不改动业务存储;
# 2. 尽量从 message_stats 与结构化 sections 中提取可读指标;
# 3. 数据不全时采用稳妥兜底,避免模板渲染失败。
stats = message_stats or {}
usage = (metadata or {}).get("usage", {}) or {}
sections = layout_data.get("sections") or []
total_count = cls._to_int(stats.get("total_count"))
participant_count = cls._to_int(stats.get("participant_count"))
text_count = cls._to_int(stats.get("text_count"))
image_count = cls._to_int(stats.get("image_count"))
video_count = cls._to_int(stats.get("video_count"))
link_count = cls._to_int(stats.get("link_count"))
emoji_count = cls._to_int(stats.get("emoji_count"))
# 媒体量:把图片+视频合并,符合卡片化概览阅读习惯。
media_count = image_count + video_count
section_count = len(sections)
bullet_count = 0
quote_count = 0
code_count = 0
for section in sections:
for item in section.get("items", []):
kind = str(item.get("kind") or "")
if kind == "bullet":
bullet_count += 1
elif kind == "quote":
quote_count += 1
elif kind == "code":
code_count += 1
# 活跃度等级:仅用于 UI 文案提示,不参与核心业务计算。
if total_count >= 1600:
activity_badge = "爆炸活跃"
elif total_count >= 1000:
activity_badge = "高活跃"
elif total_count >= 400:
activity_badge = "中活跃"
else:
activity_badge = "常规活跃"
# 话题雷达:优先取前几节标题,避免依赖额外 LLM 输出字段。
topic_tags: List[str] = []
for section in sections:
title_text = str(section.get("title") or "").strip()
if not title_text:
continue
normalized = re.sub(r"^[\d\W_]+", "", title_text)
normalized = re.sub(r"\s+", " ", normalized).strip()
if not normalized:
continue
topic_tags.append(normalized[:24])
if len(topic_tags) >= 6:
break
# 核心看点:优先抓 bullet没有则回退 paragraph。
highlights: List[str] = []
for section in sections:
for item in section.get("items", []):
item_text = str(item.get("text") or "").strip()
if not item_text:
continue
if item.get("kind") == "bullet":
highlights.append(item_text[:120])
if len(highlights) >= 4:
break
if len(highlights) >= 4:
break
if not highlights:
for section in sections:
for item in section.get("items", []):
item_text = str(item.get("text") or "").strip()
if not item_text:
continue
highlights.append(item_text[:120])
if len(highlights) >= 4:
break
if len(highlights) >= 4:
break
# 使用统计:读取模型调用元数据,辅助观测总结成本。
total_tokens = cls._to_int(usage.get("total_tokens"))
prompt_tokens = cls._to_int(usage.get("prompt_tokens"))
completion_tokens = cls._to_int(usage.get("completion_tokens"))
latency = usage.get("latency")
latency_text = f"{latency}s" if latency not in (None, "") else "-"
return {
"kpi_cards": [
{"label": "Msgs", "value": total_count, "tone": "slate"},
{"label": "Active", "value": participant_count, "tone": "blue"},
{"label": "Text", "value": text_count, "tone": "violet"},
{"label": "Media", "value": media_count, "tone": "emerald"},
],
"mini_stats": [
{"label": "Links", "value": link_count},
{"label": "Emoji", "value": emoji_count},
{"label": "Video", "value": video_count},
{"label": "Sections", "value": section_count},
{"label": "Bullets", "value": bullet_count},
{"label": "Quotes", "value": quote_count},
{"label": "Code", "value": code_count},
],
"topic_tags": topic_tags,
"highlights": highlights,
"activity_badge": activity_badge,
"token_total": total_tokens,
"token_prompt": prompt_tokens,
"token_completion": completion_tokens,
"latency_text": latency_text,
}
def _render_summary_template_html(
self,
group_name: str,
summary_text: str,
message_stats: Optional[Dict[str, Any]] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> str:
"""根据模板路径渲染总结图片 HTML。"""
# 约束:模板只负责展示,正文仍然由模型生成并在此做安全转义后注入。
# 约束:
# 1. 不再把 LLM 原文直接转 HTML 内嵌到模板;
# 2. 先结构化解析文本,再由模板按组件渲染,稳定控制最终排版。
renderer = HtmlTemplateRenderer()
summary_html = self._summary_markdown_to_html(summary_text)
layout_data = self._build_summary_layout_data(summary_text)
metrics_data = self._build_summary_template_metrics(
message_stats=message_stats,
layout_data=layout_data,
metadata=metadata,
)
# 说明:
# 1. 这里注入“本地字体 CSS”到模板避免依赖 Google Fonts 等外网资源;
# 2. 字体文件统一从仓库根目录 fonts/ 下读取,便于部署时统一管理;
@@ -531,7 +913,13 @@ class MessageSummaryPlugin(MessagePluginInterface):
{
"title": f"{group_name} 群聊总结",
"generated_at": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
"summary_html": Markup(summary_html),
# 兼容字段:保留给旧模板使用,新版 Gemini 模板已不再依赖该字段。
"summary_html": Markup(self._summary_markdown_to_html(summary_text)),
"summary_doc_title": layout_data.get("document_title", ""),
"summary_lead": layout_data.get("lead", ""),
"summary_sections": layout_data.get("sections", []),
"summary_fallback_text": layout_data.get("fallback_text", ""),
"summary_metrics": metrics_data,
"local_font_css": Markup(local_font_css),
},
)
@@ -631,6 +1019,8 @@ class MessageSummaryPlugin(MessagePluginInterface):
self,
answer: str,
group_name: str,
message_stats: Optional[Dict[str, Any]],
metadata: Optional[Dict[str, Any]],
output_filename: str,
total_timeout: int,
) -> str:
@@ -642,7 +1032,12 @@ class MessageSummaryPlugin(MessagePluginInterface):
# 优先模板渲染,便于后续仅改 HTML 文件完成样式迭代。
if self._summary_image_mode != "markdown":
try:
html_content = self._render_summary_template_html(group_name=group_name, summary_text=answer)
html_content = self._render_summary_template_html(
group_name=group_name,
summary_text=answer,
message_stats=message_stats,
metadata=metadata,
)
await asyncio.wait_for(html_to_image(html_content, str(output_path)), timeout=total_timeout)
if not output_path.exists() or output_path.stat().st_size < 1024:
raise RuntimeError("模板截图输出文件异常")
@@ -800,8 +1195,12 @@ class MessageSummaryPlugin(MessagePluginInterface):
answer = self._clean_summary_output(response.get("text", ""))
metadata = {"usage": response.get("usage", {}) or {}}
spath = ""
answer = self._prepend_stats_section(answer, message_stats or {})
answer = self._append_usage_info(answer, metadata)
# 说明:
# 1. 模板模式下统计信息由卡片呈现,不再额外拼接“群概览”文本块;
# 2. markdown 模式仍保留旧逻辑,保证兼容历史输出。
if self._summary_image_mode == "markdown":
answer = self._prepend_stats_section(answer, message_stats or {})
answer = self._append_usage_info(answer, metadata)
if answer and len(answer.strip()) > 0:
try:
@@ -814,6 +1213,8 @@ class MessageSummaryPlugin(MessagePluginInterface):
spath = await self._render_summary_image(
answer=answer,
group_name=group_name,
message_stats=message_stats or {},
metadata=metadata,
output_filename=output_path,
total_timeout=total_timeout,
)

View File

@@ -115,118 +115,106 @@
.meta-value.brand {
color: var(--brand);
}
.topic-radar {
margin-top: 12px;
}
.topic-tags {
margin-top: 6px;
display: flex;
flex-wrap: wrap;
gap: 6px;
}
.topic-tag {
padding: 3px 8px;
border-radius: 999px;
font-size: 10px;
font-weight: 700;
color: #334155;
background: #f8fafc;
border: 1px solid #e2e8f0;
}
.summary-body {
padding: 18px 20px 20px;
}
.markdown-body {
.lead-callout {
margin-top: 10px;
padding: 10px 12px;
background: var(--ok-soft);
border-left: 2px solid var(--ok-line);
border-radius: 0 6px 6px 0;
font-size: 13px;
line-height: 1.86;
color: var(--text);
word-wrap: break-word;
line-height: 1.78;
color: #166534;
}
.markdown-body > *:first-child { margin-top: 0; }
.markdown-body > *:last-child { margin-bottom: 0; }
.markdown-body h1,
.markdown-body h2,
.markdown-body h3,
.markdown-body h4,
.markdown-body h5,
.markdown-body h6 {
color: var(--title);
margin: 16px 0 8px;
line-height: 1.42;
.sections {
margin-top: 12px;
display: flex;
flex-direction: column;
gap: 10px;
}
.section-card {
border: 1px solid #e5eaf1;
background: #ffffff;
border-radius: 8px;
padding: 10px 11px;
}
.section-title {
margin: 0 0 8px;
font-size: 14px;
font-weight: 800;
color: var(--title);
letter-spacing: -.01em;
}
.markdown-body h1 { font-size: 20px; border-bottom: 1px solid var(--line); padding-bottom: 6px; }
.markdown-body h2 { font-size: 18px; }
.markdown-body h3 { font-size: 16px; }
.markdown-body h4,
.markdown-body h5,
.markdown-body h6 { font-size: 14px; }
.markdown-body p { margin: 10px 0; }
.markdown-body ul,
.markdown-body ol {
margin: 8px 0 12px;
padding-left: 18px;
.section-items {
display: flex;
flex-direction: column;
gap: 6px;
}
.markdown-body li { margin: 4px 0; }
.markdown-body blockquote {
margin: 10px 0;
.item-paragraph {
margin: 0;
font-size: 13px;
line-height: 1.82;
color: var(--text);
}
.item-bullet {
margin: 0;
padding-left: 14px;
position: relative;
font-size: 13px;
line-height: 1.78;
color: var(--text);
}
.item-bullet::before {
content: "•";
position: absolute;
left: 0;
top: 0;
color: var(--brand);
font-weight: 900;
}
.item-quote {
margin: 0;
padding: 8px 10px;
border-left: 3px solid var(--quote-line);
background: var(--quote-bg);
color: #475569;
border-radius: 0 4px 4px 0;
}
.markdown-body hr {
border: none;
border-top: 1px dashed #dbe3ee;
margin: 14px 0;
}
.markdown-body a {
color: var(--brand);
text-decoration: none;
border-bottom: 1px dotted rgba(37, 99, 235, .5);
}
.markdown-body strong {
color: #1e293b;
font-weight: 800;
}
.markdown-body em {
color: #475569;
font-style: italic;
}
.markdown-body code {
/* 说明:代码字体优先使用本地/系统等宽字体栈,保证服务端离线场景可读。 */
font-family: var(--abot-font-code, "Cascadia Mono", "Consolas", "SFMono-Regular", Menlo, monospace);
font-size: 12px;
background: #eff6ff;
color: #1e40af;
padding: 1px 4px;
border-radius: 4px;
line-height: 1.75;
}
.markdown-body pre {
margin: 10px 0;
.item-code {
margin: 0;
padding: 10px 11px;
border-radius: 6px;
background: var(--code-bg);
color: var(--code-text);
overflow-x: auto;
border: 1px solid #1e293b;
}
.markdown-body pre code {
background: transparent;
color: inherit;
padding: 0;
border-radius: 0;
/* 说明:代码字体优先使用本地/系统等宽字体栈,保证服务端离线场景可读。 */
font-family: var(--abot-font-code, "Cascadia Mono", "Consolas", "SFMono-Regular", Menlo, monospace);
font-size: 12px;
line-height: 1.7;
}
.markdown-body table {
width: 100%;
border-collapse: collapse;
margin: 10px 0;
font-size: 11px;
border: 1px solid #e2e8f0;
}
.markdown-body th,
.markdown-body td {
border: 1px solid #e2e8f0;
padding: 6px 7px;
text-align: left;
vertical-align: top;
}
.markdown-body th {
background: #f8fafc;
color: #334155;
font-weight: 700;
}
.markdown-body img {
max-width: 100%;
border-radius: 6px;
border: 1px solid #e2e8f0;
margin: 6px 0;
white-space: pre-wrap;
word-break: break-word;
}
.summary-footer {
margin-top: 14px;
@@ -255,6 +243,82 @@
font-size: 12px;
color: #166534;
}
.fallback-text {
margin-top: 10px;
font-size: 12px;
line-height: 1.76;
color: #475569;
white-space: pre-wrap;
}
.summary-grid {
display: grid;
grid-template-columns: 1.45fr 1fr;
gap: 10px;
margin-top: 12px;
}
.mini-card {
border: 1px solid #e5eaf1;
border-radius: 8px;
padding: 10px 11px;
background: #fff;
}
.mini-title {
margin: 0 0 8px;
font-size: 10px;
text-transform: uppercase;
letter-spacing: .08em;
color: #94a3b8;
font-weight: 800;
}
.mini-list {
display: flex;
flex-direction: column;
gap: 5px;
}
.mini-row {
display: flex;
justify-content: space-between;
align-items: center;
gap: 8px;
font-size: 12px;
color: #475569;
}
.mini-row .value {
font-weight: 800;
color: #1e293b;
font-family: var(--abot-font-code, "Cascadia Mono", "Consolas", monospace);
}
.highlight-list {
display: flex;
flex-direction: column;
gap: 6px;
}
.highlight-item {
margin: 0;
font-size: 12px;
line-height: 1.72;
color: #334155;
padding-left: 12px;
position: relative;
}
.highlight-item::before {
content: "";
position: absolute;
left: 0;
top: 7px;
width: 5px;
height: 5px;
border-radius: 50%;
background: #2563eb;
}
@media (max-width: 640px) {
.summary-grid {
grid-template-columns: 1fr;
}
.meta-grid {
grid-template-columns: repeat(2, minmax(0, 1fr));
}
}
</style>
</head>
<body>
@@ -265,39 +329,85 @@
<div class="header-title">CHAT INSIGHTS <span class="accent">SUMMARY</span></div>
<div class="header-id">{{ generated_at }}</div>
</div>
<div class="header-tag">Daily Archive</div>
<div class="header-tag">{{ summary_metrics.activity_badge or "Daily Archive" }}</div>
</div>
<div class="meta-grid">
{% for card in summary_metrics.kpi_cards %}
<div class="meta-item">
<span class="label-tiny">Type</span>
<div class="meta-value">群总结</div>
<span class="label-tiny">{{ card.label }}</span>
<div class="meta-value {% if card.tone == 'blue' %}brand{% endif %}">{{ card.value }}</div>
</div>
<div class="meta-item">
<span class="label-tiny">Mode</span>
<div class="meta-value brand">Template</div>
</div>
<div class="meta-item">
<span class="label-tiny">Render</span>
<div class="meta-value">HTML</div>
</div>
<div class="meta-item">
<span class="label-tiny">Engine</span>
<div class="meta-value">LLM</div>
{% endfor %}
</div>
<div class="topic-radar">
<span class="label-tiny"># Personal Interest Radar</span>
<div class="topic-tags">
{% for tag in summary_metrics.topic_tags %}
<span class="topic-tag">{{ tag }}</span>
{% endfor %}
{% if not summary_metrics.topic_tags %}
<span class="topic-tag">暂无热点标签</span>
{% endif %}
</div>
</div>
</header>
<section class="summary-body">
<span class="label-tiny"># {{ title }}</span>
<div class="markdown-body">
{{ summary_html }}
<span class="label-tiny"># {{ summary_doc_title or title }}</span>
<div class="lead-callout">
{{ summary_lead or "暂无总结内容。" }}
</div>
<div class="safe-callout">
内容已按 Markdown 富标签样式渲染(标题、列表、表格、代码块、引用)。
<div class="sections">
{% for section in summary_sections %}
<article class="section-card">
<h3 class="section-title">{{ section["title"] }}</h3>
<div class="section-items">
{% for item in section["items"] %}
{% if item["kind"] == "bullet" %}
<p class="item-bullet">{{ item["text"] }}</p>
{% elif item["kind"] == "quote" %}
<blockquote class="item-quote">{{ item["text"] }}</blockquote>
{% elif item["kind"] == "code" %}
<pre class="item-code">{{ item["text"] }}</pre>
{% else %}
<p class="item-paragraph">{{ item["text"] }}</p>
{% endif %}
{% endfor %}
</div>
</article>
{% endfor %}
</div>
{% if not summary_sections %}
<div class="fallback-text">{{ summary_fallback_text }}</div>
{% endif %}
<div class="summary-grid">
<div class="mini-card">
<h4 class="mini-title"># Deep Stats</h4>
<div class="mini-list">
{% for item in summary_metrics.mini_stats %}
<div class="mini-row">
<span>{{ item.label }}</span>
<span class="value">{{ item.value }}</span>
</div>
{% endfor %}
</div>
</div>
<div class="mini-card">
<h4 class="mini-title"># Core Highlights</h4>
<div class="highlight-list">
{% for text in summary_metrics.highlights %}
<p class="highlight-item">{{ text }}</p>
{% endfor %}
{% if not summary_metrics.highlights %}
<p class="highlight-item">暂无可提取的核心看点</p>
{% endif %}
</div>
</div>
</div>
<div class="safe-callout">内容已按结构化规则重排渲染,不再直接内嵌原始 HTML。</div>
<div class="summary-footer">
<span>ABOT · Message Summary Gemini Style</span>
<span class="right">Renderer: Playwright</span>
<span class="right">Tokens: {{ summary_metrics.token_total }} · Latency: {{ summary_metrics.latency_text }}</span>
</div>
</section>
</div>