feat: AI分析第二档——get_news消息面、板块主力资金流TOPS、两融余额、截断续写机制

backend/routes/market_dashboard.py

@@ -17,7 +17,7 @@ from datetime import datetime, timezone, timedelta
 from fastapi import APIRouter, HTTPException
 from fastapi.responses import JSONResponse
 
-from services import fuyao_client
+from services import fuyao_client, market_extra
 
 router = APIRouter()
 
@@ -163,12 +163,16 @@ async def _build_dashboard() -> dict:
             anomaly_data,
             limit_ladder_data,
             skyrocket_data,
+            sector_flow_data,
+            margin_data,
         ) = await asyncio.gather(
             fuyao_client.hot_stock_list("day"),
             fuyao_client.dragon_tiger_list("all"),
             fuyao_client.anomaly_analysis_list(["SHARP_RISE", "RAPID_RALLY", "LIMIT_UP"]),
             fuyao_client.limit_up_ladder(),
             fuyao_client.skyrocket_list("day"),
+            market_extra.fetch_sector_fund_flow(),
+            market_extra.fetch_margin_summary(),
             return_exceptions=True,
         )
     except Exception:
@@ -177,6 +181,8 @@ async def _build_dashboard() -> dict:
         anomaly_data = {}
         limit_ladder_data = {}
         skyrocket_data = {}
+        sector_flow_data = None
+        margin_data = None
 
     # ── 解析指数 ──
     indices = []
@@ -291,6 +297,12 @@ async def _build_dashboard() -> dict:
         "auctionSignal": auction_signal,
     }
 
+    # 两融余额（交易所 T+1 披露），供看板展示、AI 分析与次日环比快照使用
+    if isinstance(margin_data, dict):
+        market_stats["marginBalanceYi"] = margin_data.get("balanceYi")
+        market_stats["marginChangeYi"] = margin_data.get("changeYi")
+        market_stats["marginDate"] = margin_data.get("date")
+
     # ── 行业强度榜（使用行业指数真实涨幅） ──
     sector_strength = []
     industries = industry_catalog if isinstance(industry_catalog, list) else []
@@ -552,6 +564,7 @@ async def _build_dashboard() -> dict:
         "marketStats": market_stats,
         "sectorStrength": sector_strength[:31],
         "conceptStrength": concept_strength[:10],
+        "sectorFundFlow": sector_flow_data if isinstance(sector_flow_data, dict) else None,
         "events": events,
         "limitLadder": limit_ladder,
         "updateTime": datetime.now(BJT).strftime("%Y-%m-%d %H:%M:%S"),