refactor: Alpaca intraday 120초 타임아웃 + limit-concurrency 50 복원

asyncio.wait_for로 120초 타임아웃 명시, _do_fetch 내부 함수로 semaphore 래핑.
limit-concurrency를 20→50으로 복원 (세마포어 5개로 충분히 제어됨).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

app/api/v1/endpoints/alpaca.py

@@ -128,11 +128,27 @@ async def get_alpaca_intraday_multi(
     start_dt = datetime.combine(_start, datetime.min.time()).replace(tzinfo=timezone.utc)
     end_dt = datetime.combine(_end, datetime.max.time()).replace(tzinfo=timezone.utc)
 
+    async def _do_fetch():
         async with _INTRADAY_SEMAPHORE:
             try:
-            data = await svc.get_or_fetch_multi_bars(
+                return await svc.get_or_fetch_multi_bars(
                     symbols, start_dt, end_dt, interval, force_refresh, feed="sip"
                 )
+            finally:
+                try:
+                    await svc.client.close()
+                except Exception:
+                    pass
+
+    try:
+        data = await asyncio.wait_for(_do_fetch(), timeout=120)
+    except asyncio.TimeoutError:
+        raise HTTPException(
+            status_code=504,
+            detail="요청 시간 초과 (120초). 티커 수를 줄이거나 나중에 다시 시도하세요.",
+        )
+    except HTTPException:
+        raise
     except Exception as e:
         err = str(e)
         detail = f"Alpaca API error: {err}"
@@ -142,12 +158,7 @@ async def get_alpaca_intraday_multi(
                 f"내부 배치 크기: 100개/요청. 원인: {err}"
             )
         raise HTTPException(status_code=502, detail=detail)
-        finally:
-            await svc.client.close()
 
-    # Reclaim Alpaca HTTP buffers, intermediate bar dicts, and DB row objects
-    # before building the serialised response. Prevents Python heap from growing
-    # unboundedly across thousands of backfill requests in a long-running worker.
     gc.collect()
 
     bars = {
@@ -207,11 +218,27 @@ async def get_alpaca_intraday_today(
     start_dt = datetime.combine(today, datetime.min.time()).replace(tzinfo=timezone.utc)
     end_dt = datetime.combine(today, datetime.max.time()).replace(tzinfo=timezone.utc)
 
+    async def _do_fetch():
         async with _INTRADAY_SEMAPHORE:
             try:
-            data = await svc.get_or_fetch_multi_bars(
+                return await svc.get_or_fetch_multi_bars(
                     symbols, start_dt, end_dt, interval, force_refresh=True, feed="iex"
                 )
+            finally:
+                try:
+                    await svc.client.close()
+                except Exception:
+                    pass
+
+    try:
+        data = await asyncio.wait_for(_do_fetch(), timeout=120)
+    except asyncio.TimeoutError:
+        raise HTTPException(
+            status_code=504,
+            detail="요청 시간 초과 (120초). 티커 수를 줄이거나 나중에 다시 시도하세요.",
+        )
+    except HTTPException:
+        raise
     except Exception as e:
         err = str(e)
         detail = f"Alpaca API error: {err}"
@@ -221,8 +248,6 @@ async def get_alpaca_intraday_today(
                 f"내부 배치 크기: 100개/요청. 원인: {err}"
             )
         raise HTTPException(status_code=502, detail=detail)
-        finally:
-            await svc.client.close()
 
     gc.collect()
 

docker-compose.yml

@@ -68,7 +68,7 @@ services:
     mem_limit: 2g
     memswap_limit: 2g
     restart: unless-stopped
-    command: ["python", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "18000", "--reload", "--limit-concurrency", "20"]
+    command: ["python", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "18000", "--reload", "--limit-concurrency", "50"]
 
   # Frontend Application
   frontend: