feat: Implement automated keyword-based news pipeline scheduler

- Add multi-threaded keyword scheduler for periodic news collection
- Create Keyword Manager API for CRUD operations and monitoring
- Implement automatic pipeline triggering (RSS → Google → AI → Translation)
- Add thread status monitoring and dynamic keyword management
- Support priority-based execution and configurable intervals
- Add comprehensive scheduler documentation guide
- Default keywords: AI, 테크놀로지, 경제, 블록체인

🤖 Generated with [Claude Code](https://claude.ai/code)

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

services/pipeline/test_starcraft.py

@@ -0,0 +1,56 @@
+#!/usr/bin/env python3
+"""
+스타크래프트 키워드로 파이프라인 테스트
+"""
+import asyncio
+import sys
+import os
+sys.path.append(os.path.dirname(__file__))
+
+from shared.queue_manager import QueueManager
+from shared.models import PipelineJob
+
+async def test_starcraft_pipeline():
+    """스타크래프트 키워드로 파이프라인 테스트"""
+
+    # Queue manager 초기화
+    queue_manager = QueueManager(redis_url="redis://redis:6379")
+    await queue_manager.connect()
+
+    try:
+        # 스타크래프트 파이프라인 작업 생성
+        job = PipelineJob(
+            keyword_id="test_starcraft_001",
+            keyword="스타크래프트",
+            stage="rss_collection",
+            data={}
+        )
+
+        print(f"🚀 스타크래프트 파이프라인 작업 시작")
+        print(f"   작업 ID: {job.job_id}")
+        print(f"   키워드: {job.keyword}")
+        print(f"   키워드 ID: {job.keyword_id}")
+
+        # RSS 수집 큐에 작업 추가
+        await queue_manager.enqueue('rss_collection', job)
+        print(f"✅ 작업이 rss_collection 큐에 추가되었습니다")
+
+        # 큐 상태 확인
+        stats = await queue_manager.get_queue_stats()
+        print(f"\n📊 현재 큐 상태:")
+        for queue_name, stat in stats.items():
+            if queue_name not in ['completed', 'failed']:
+                pending = stat.get('pending', 0)
+                processing = stat.get('processing', 0)
+                if pending > 0 or processing > 0:
+                    print(f"   {queue_name}: 대기={pending}, 처리중={processing}")
+
+        print(f"\n⏳ 파이프라인 실행을 모니터링하세요:")
+        print(f"   docker logs site11_pipeline_rss_collector --tail 20 -f")
+        print(f"   python3 check_mongodb.py")
+
+    finally:
+        await queue_manager.disconnect()
+
+if __name__ == "__main__":
+    asyncio.run(test_starcraft_pipeline())