feat: 题材列表盘中120s缓存共用，题材详情新增全量新闻分页+强度热度行情

- 题材热点与热点穿透共用题材列表缓存：盘中由"不缓存实时拉取"改为120s短缓存，
  东财全量列表拉取降到每120s一次，图重建时涨幅/热度两榜直接命中缓存
- 详情页相关新闻升级为全量分页(getThemeRelatedNews)：支持翻页+评论数，
  替换原 getDetail 固定3条
- 详情页统计条新增强度+热度(getSingleThemeQuote)实时指标

Co-Authored-By: Claude <noreply@anthropic.com>

backend/routes/themes.py

@@ -52,6 +52,39 @@ async def theme_history(date: str = Query(..., description="交易日 YYYY-MM-DD
         conn.close()
 
 
+@router.get("/{theme_code}/news", summary="题材相关新闻（分页）")
+async def theme_news(
+    theme_code: str,
+    page_num: int = Query(1, ge=1, description="页码"),
+    page_size: int = Query(10, ge=1, le=50, description="每页条数"),
+    max_eu_time: str = Query("", description="分页游标（上一页返回的 maxEuTime）"),
+):
+    result = await themes.fetch_theme_news(theme_code, page_num, max_eu_time, page_size)
+    if result is None:
+        return JSONResponse(
+            {"data": None, "theme_code": theme_code},
+            headers=_NO_CACHE_HEADERS,
+        )
+    return JSONResponse(
+        {"data": result, "theme_code": theme_code},
+        headers=_NO_CACHE_HEADERS,
+    )
+
+
+@router.get("/{theme_code}/quote", summary="单题材实时行情（强度/热度/涨幅）")
+async def theme_quote(theme_code: str):
+    result = await themes.fetch_theme_quote(theme_code)
+    if result is None:
+        return JSONResponse(
+            {"data": None, "theme_code": theme_code},
+            headers=_NO_CACHE_HEADERS,
+        )
+    return JSONResponse(
+        {"data": result, "theme_code": theme_code},
+        headers=_NO_CACHE_HEADERS,
+    )
+
+
 @router.get("/{theme_code}/detail", summary="题材详情")
 async def theme_detail(theme_code: str):
     data = await themes.fetch_theme_detail(theme_code)

backend/services/themes.py

@@ -88,9 +88,14 @@ def _next_open_delta_seconds() -> int:
     return 0
 
 
+# 盘中题材列表短缓存：题材热点页与热点穿透聚合共用同一份缓存，避免重复拉全量列表打东财。
+# 120s 长于热点穿透图缓存(60s)，图重建时必然命中且更新频率更低，两页数据更稳。
+_LIST_CACHE_SECONDS = 120
+
+
 def _list_ttl_seconds() -> int:
-    """题材列表缓存秒数：交易时段 0（不缓存、实时拉取）；非交易时段缓存到下次开盘前失效"""
-    return 0 if _is_trading_time() else _next_open_delta_seconds()
+    """题材列表缓存秒数：交易时段 120s 短缓存；非交易时段缓存到下次开盘前失效"""
+    return _LIST_CACHE_SECONDS if _is_trading_time() else _next_open_delta_seconds()
 
 
 # ---- 请求封装 ----
@@ -159,11 +164,10 @@ async def fetch_theme_list(sort_field: int = 1, asc: bool = False) -> list[dict]
         asc: True=升序, False=降序
     """
     cache_key = f"theme_list:{sort_field}:{asc}"
-    # 交易时段强制实时：跳过缓存读取，避免命中非交易时段写入的上个交易日旧数据
-    if not _is_trading_time():
-        cached = get_cache(cache_key)
-        if cached is not None:
-            return json.loads(cached)
+    # 统一读缓存（盘中 TTL=120s 短缓存，非盘中缓存到下次开盘前失效），避免重复拉全量列表打东财
+    cached = get_cache(cache_key)
+    if cached is not None:
+        return json.loads(cached)
 
     sort = 1 if asc else -1
     # hotRank 数值越小越热，"热度降序(最热在前)" 需反转为接口升序
@@ -443,3 +447,56 @@ async def fetch_theme_graph(sort_field: int = 1, top_n: int = 30, limit: int = 1
         data = await _build_theme_graph(sort_field, top_n)
         _set_graph_cache(cache_key, data)
         return _trim_graph_result(data, limit)
+
+
+# ---- 题材相关新闻（分页） ----
+
+_NEWS_PAGE_SIZE = 10
+
+
+async def fetch_theme_news(theme_code: str, page_num: int = 1, max_eu_time: str = "", page_size: int = _NEWS_PAGE_SIZE) -> Optional[dict]:
+    """获取题材相关新闻（分页），返回 {total, maxEuTime, list}
+
+    maxEuTime 为游标：上一页返回的 maxEuTime 作为下一页入参，首页传空串。
+    盘中 60s 短缓存（与图缓存同频）；非盘中缓存到下次开盘前失效。
+    """
+    cache_key = f"theme_news:{theme_code}:{page_num}:{max_eu_time}:{page_size}"
+    cached = get_cache(cache_key)
+    if cached is not None:
+        return json.loads(cached)
+
+    data = await _post(
+        "/api/themeInvest/getThemeRelatedNews",
+        {"themeCode": theme_code, "pageNum": page_num, "maxEuTime": max_eu_time, "pageSize": page_size},
+        app_key=_APP_KEY_DETAIL,
+    )
+    if not data:
+        return None
+
+    ttl_s = _graph_ttl_seconds()
+    if ttl_s > 0:
+        set_cache(cache_key, json.dumps(data, ensure_ascii=False), ttl_seconds=ttl_s)
+    return data
+
+
+# ---- 单题材实时行情（强度/热度/涨幅） ----
+
+async def fetch_theme_quote(theme_code: str) -> Optional[dict]:
+    """获取单题材实时行情（strengthValue/hotValue/f3），盘中 60s 短缓存"""
+    cache_key = f"theme_quote:{theme_code}"
+    cached = get_cache(cache_key)
+    if cached is not None:
+        return json.loads(cached)
+
+    data = await _post(
+        "/api/themeInvest/getSingleThemeQuote",
+        {"themeCode": theme_code},
+        app_key=_APP_KEY_DETAIL,
+    )
+    if not data:
+        return None
+
+    ttl_s = _graph_ttl_seconds()
+    if ttl_s > 0:
+        set_cache(cache_key, json.dumps(data, ensure_ascii=False), ttl_seconds=ttl_s)
+    return data