", f'
') + return f'
{inner_with_p_style}
'
+
+
# === 单任务:classify ===
async def _enrich_classify(article: Article, setting: LlmSetting, client: LlmClient) -> None:
prompt = (setting.classify_prompt or get_default_prompts()["classify_prompt"]).format(
title=(article.title_zh or article.title)[:200],
summary=(article.summary_zh or "")[:400],
+ body=(article.body_zh_text or "")[:1500],
)
result = await client.classify_json(
system="你是新闻分类助手,只返回 JSON。",
user=prompt,
)
- cats = result.get("categories") or []
+ cats = result.get("categories") or result.get("tags") or []
if isinstance(cats, list) and cats:
- article.category = ",".join(str(c).strip() for c in cats[:3])[:32]
+ # 多标签(2-5 个),逗号分隔存到 category 字段(已有索引)
+ joined = ",".join(str(c).strip() for c in cats[:DEFAULT_IMAGE_MAX_TAGS] if str(c).strip())
+ article.category = joined[:64] or None
article.classify_status = "ok"
# === 单任务:image ===
async def _enrich_image(article: Article, setting: LlmSetting, client: LlmClient) -> None:
template = (setting.image_prompt_template or get_default_prompts()["image_prompt_template"])
- # 默认用 title_zh(若有),否则用原文 title
+ # 用正文第一段作为 prompt(英文 prompt 走 title 仍可工作,所以 title 也带上作 fallback)
+ first_para = _first_paragraph(article.body_zh_text or "", max_chars=DEFAULT_IMAGE_FIRST_PARA_CHARS)
+ if not first_para:
+ first_para = (article.title_zh or article.title or "")[:200]
title_for_prompt = (article.title_zh or article.title or "")[:200]
- prompt = template.format(title=title_for_prompt)
- url = await client.generate_image(prompt, size=setting.image_size)
+ # template 同时支持 {body} 和 {title} 两种占位符
+ try:
+ prompt = template.format(body=first_para, title=title_for_prompt)
+ except (KeyError, IndexError):
+ # 用户改坏了 template,fallback 用 {title} 模式
+ prompt = template.format(title=title_for_prompt)
+ url = await client.generate_image(prompt, size=DEFAULT_IMAGE_SIZE)
article.image_ai_url = url
article.image_ai_status = "ok"
+def _first_paragraph(text: str, max_chars: int) -> str:
+ """取正文第一段(按 \\n\\n 切)。如果首段超长就截断。"""
+ if not text:
+ return ""
+ for p in text.split("\n\n"):
+ p = p.strip()
+ if p:
+ return p[:max_chars]
+ return ""
+
+
# === 单任务:commentary ===
async def _enrich_commentary(article: Article, setting: LlmSetting, client: LlmClient) -> None:
prompt = (setting.commentary_prompt or get_default_prompts()["commentary_prompt"]).format(
diff --git a/frontend/src/style.css b/frontend/src/style.css
index 93d3316..9a50048 100644
--- a/frontend/src/style.css
+++ b/frontend/src/style.css
@@ -27,3 +27,21 @@ img { max-width: 100%; }
.n-card.article-card:hover {
box-shadow: 0 4px 12px rgba(0, 0, 0, 0.08);
}
+
+/* === 文章正文容器(项目级固定 CSS,排版版译文用)===
+ * 后端 enrichment 也会在容器 div 上内联同样的属性;这里做兜底,
+ * 万一 inline style 被 sanitizer 剥掉,样式仍生效。
+ * 与 backend/app/services/llm/enrichment.py 里的常量保持一致。
+ */
+.article-body {
+ font-family: system-ui, -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', sans-serif;
+ font-size: 17px;
+ line-height: 1.7;
+ color: #3e3e3e;
+}
+.article-body p {
+ margin: 0 0 1.5em 0;
+}
+.article-body p:last-child {
+ margin-bottom: 0;
+}
diff --git a/frontend/src/views/AdminLlmSettings.vue b/frontend/src/views/AdminLlmSettings.vue
index 7f8eb70..9520f22 100644
--- a/frontend/src/views/AdminLlmSettings.vue
+++ b/frontend/src/views/AdminLlmSettings.vue
@@ -14,7 +14,7 @@ const setting = ref- 期望返回 JSON,形如
+ 期望返回 JSON(多标签,2-5 个),形如
+ 最终 prompt 会拼成英文描述发给文生图模型