feat: implement next-gen vectorized engine, async architecture, and modernization roadmap v2.32.0

core_py/events.py

@@ -0,0 +1,64 @@
+from typing import Callable, Dict, List, Any
+import asyncio
+
+class EventBus:
+    """
+    중앙 이벤트 버스 (Phase 3: Decoupling & Observer Pattern)
+    DIP(의존성 역전 원칙)를 준수하여 모듈 간 강한 결합을 해제함.
+    """
+    
+    def __init__(self):
+        self._subscribers: Dict[str, List[Callable]] = {}
+
+    def subscribe(self, event_type: str, callback: Callable):
+        """이벤트 구독 등록"""
+        if event_type not in self._subscribers:
+            self._subscribers[event_type] = []
+        self._subscribers[event_type].append(callback)
+        print(f"[EventBus] Subscribed to {event_type}")
+
+    async def emit(self, event_type: str, data: Any):
+        """이벤트 발행 및 구독자 알림 (비동기 처리)"""
+        if event_type in self._subscribers:
+            print(f"[EventBus] Emitting {event_type}...")
+            # 모든 구독자에게 비동기적으로 데이터 전달
+            tasks = [asyncio.create_task(callback(data)) for callback in self._subscribers[event_type]]
+            if tasks:
+                await asyncio.gather(*tasks)
+
+# 이벤트 정의
+class ConnectEvents:
+    DATA_READY = "data_ready"
+    INFERENCE_COMPLETE = "inference_complete"
+    ERROR_OCCURRED = "error_occurred"
+
+# Pipeline Orchestrator 예시
+class DataPipeline:
+    def __init__(self, bus: EventBus):
+        self.bus = bus
+
+    async def process_data(self, raw_data: Any):
+        print("[Pipeline] Processing Raw Data...")
+        # 전처리 로직 (DIP 준수: 모델을 직접 호출하지 않음)
+        await self.bus.emit(ConnectEvents.DATA_READY, raw_data)
+
+class InferenceEngineSubscriber:
+    def __init__(self, bus: EventBus):
+        self.bus = bus
+        self.bus.subscribe(ConnectEvents.DATA_READY, self.on_data_ready)
+
+    async def on_data_ready(self, data: Any):
+        print(f"[Model] Event Received! Starting Inference on: {data}")
+        # 여기서 FeatureExtractor.calculate_similarity_vectorized() 호출
+        await self.bus.emit(ConnectEvents.INFERENCE_COMPLETE, {"result": "success"})
+
+async def main():
+    bus = EventBus()
+    pipeline = DataPipeline(bus)
+    model = InferenceEngineSubscriber(bus)
+    
+    await pipeline.process_data("Sample Input Data")
+
+if __name__ == "__main__":
+    # asyncio.run(main())
+    print("Event-driven Architecture Initialized (Phase 3 Ready)")