Integrate Redis (10.30.20.70) for locks, cache, and decision state to maximize infra utilization

bot.py

@@ -18,6 +18,9 @@ from services import (
     qdrant_add_memory,
     trilium_log,
     n8n_emit,
+    redis_set_json,
+    redis_get_json,
+    redis_lock,
 )
 
 scheduler = BackgroundScheduler(timezone=settings.timezone)
@@ -42,6 +45,9 @@ def curate_cycle():
 
 
 def run_cycle():
+    if not redis_lock('alpaca:run_cycle:lock', ttl=240):
+        return
+
     db = SessionLocal()
     try:
         acct = account_snapshot()
@@ -64,7 +70,12 @@ def run_cycle():
             if spent >= settings.max_daily_notional:
                 break
 
-            news = searx_news(symbol)
+            cached_news = redis_get_json(f'alpaca:news:{symbol}')
+            news = cached_news if cached_news else searx_news(symbol)
+            if news:
+                redis_set_json(f'alpaca:news:{symbol}', {'items': news} if isinstance(news, list) else news, ttl=900)
+                if isinstance(news, dict) and 'items' in news:
+                    news = news['items']
             strat = strategy_signals(symbol, news)
             memory_hits = qdrant_similar(symbol, json.dumps(news)[:2000], limit=5)
             decision = llm_final_decision(symbol, news, strat, memory_hits)
@@ -82,6 +93,19 @@ def run_cycle():
                 decision["order_usd"] = max(decision.get("order_usd", 0.0), settings.force_paper_min_usd)
                 decision["reason"] = f"{decision.get('reason','')} | force_paper_trades"
 
+            redis_set_json(
+                f"alpaca:last_decision:{symbol}",
+                {
+                    "symbol": symbol,
+                    "action": decision["action"],
+                    "confidence": decision["confidence"],
+                    "order_usd": decision["order_usd"],
+                    "reason": decision["reason"],
+                    "ts": datetime.utcnow().isoformat(),
+                },
+                ttl=86400,
+            )
+
             drow = BotDecision(
                 symbol=symbol,
                 action=decision["action"],