feat: 量化模型迁移——K线获取(日/分钟)+多因子打分+IC自适应微调+推荐卡推送/REST/前端

src/web/server.py

@@ -7,6 +7,8 @@ Linux 服务器常驻运行：  python -m src.web.server   （或 systemd，见
 import asyncio
 import json
 import os
+import threading
+import time
 from collections import deque
 from pathlib import Path
 
@@ -17,6 +19,7 @@ sys.path.insert(0, str(Path(__file__).resolve().parent.parent.parent))
 
 from src.realtime.collector import TimelineCollector   # noqa: E402
 from src.analysis.event_impact import EventImpactService   # noqa: E402
+from src.quant.engine import QuantEngine   # noqa: E402
 
 PORT = int(os.environ.get('PORT', '8100'))
 ROOT = Path(__file__).resolve().parent.parent.parent
@@ -58,7 +61,25 @@ async def collector_task(_app):
             await asyncio.sleep(60)
 
     task = asyncio.create_task(poll())
-    _app['impact'] = collector.impact
+
+    # 量化引擎：K线刷新 + 自适应打分 + 推荐卡推送
+    quant = QuantEngine(emit=lambda rec: loop.call_soon_threadsafe(
+        asyncio.ensure_future, broadcast(rec)), db_path=str(ROOT / 'data' / 'a_stock.db'))
+    _app['quant'] = quant
+    quant.start()
+
+    def _quant_loops():
+        while True:
+            try:
+                time.sleep(SCORING_INTERVAL_S)
+                quant.run_scoring_and_push()
+            except Exception as e:
+                print('[quant-loop]', e, flush=True)
+                time.sleep(60)
+
+    threading.Thread(target=_quant_loops, daemon=True, name='quant-scoring').start()
+
+    task = asyncio.create_task(poll())
     # 启动即推最近历史（从 jsonl 恢复）
     feed = ROOT / 'data' / 'realtime_feed.jsonl'
     if feed.exists():
@@ -83,6 +104,17 @@ async def recent_events(_request):
     return web.json_response({'events': list(recent)})
 
 
+async def quant_recommendations(_request):
+    q = _request.app['quant']
+    return web.json_response({'ts': q.last_scored_at,
+                              'list': (q.last_ranking or [])[:50]})
+
+
+async def quant_weights(_request):
+    q = _request.app['quant']
+    return web.json_response(q.weights_store.load())
+
+
 async def impact_history(_request):
     collector = _request.app['impact']
     return web.json_response({'events': collector.history(20)})
@@ -114,6 +146,8 @@ def build_app():
     app.router.add_get('/api/recent', recent_events)
     app.router.add_get('/api/stats', stats)
     app.router.add_get('/api/impact', impact_history)
+    app.router.add_get('/api/quant/recommendations', quant_recommendations)
+    app.router.add_get('/api/quant/weights', quant_weights)
     app.router.add_get('/ws', ws_handler)
     app.cleanup_ctx.append(collector_task)
     return app