feat: Add hourly stats endpoint for today chart

app/routers/stats.py

@@ -140,3 +140,68 @@ async def get_plant_stats(
             status_code=500,
             detail=f"통계 조회 실패: {str(e)}"
         )
+
+
+@router.get("/{plant_id}/stats/today")
+async def get_plant_hourly_stats(
+    plant_id: str,
+    db: Client = Depends(get_db)
+) -> dict:
+    """
+    오늘 시간별 발전 데이터 조회 (solar_logs 기반)
+    
+    Args:
+        plant_id: 발전소 ID
+        
+    Returns:
+        시간별 데이터 [{"hour": 0, "current_kw": ..., "today_kwh": ...}, ...]
+    """
+    try:
+        today = datetime.now().date()
+        today_str = today.isoformat()
+        
+        # 오늘의 모든 solar_logs 조회
+        logs_result = db.table("solar_logs") \
+            .select("current_kw, today_kwh, created_at") \
+            .eq("plant_id", plant_id) \
+            .gte("created_at", f"{today_str}T00:00:00") \
+            .order("created_at", desc=False) \
+            .execute()
+        
+        # 시간별로 그룹화 (각 시간의 마지막 데이터 사용)
+        hourly_data = {}
+        for log in logs_result.data:
+            created_at = log.get("created_at", "")
+            if created_at:
+                # ISO 형식에서 시간 추출
+                hour = int(created_at[11:13]) if len(created_at) > 13 else 0
+                hourly_data[hour] = {
+                    "current_kw": log.get("current_kw", 0) or 0,
+                    "today_kwh": log.get("today_kwh", 0) or 0,
+                }
+        
+        # 0시~23시 전체 배열 생성
+        result = []
+        for hour in range(24):
+            data = hourly_data.get(hour, {"current_kw": 0, "today_kwh": 0})
+            result.append({
+                "hour": hour,
+                "label": f"{hour}시",
+                "current_kw": round(data["current_kw"], 2),
+                "today_kwh": round(data["today_kwh"], 2),
+                "has_data": hour in hourly_data
+            })
+        
+        return {
+            "status": "success",
+            "plant_id": plant_id,
+            "date": today_str,
+            "data": result,
+            "count": len([d for d in result if d["has_data"]])
+        }
+        
+    except Exception as e:
+        raise HTTPException(
+            status_code=500,
+            detail=f"시간별 통계 조회 실패: {str(e)}"
+        )