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>

check_mongodb.py

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+import pymongo
+from datetime import datetime
+import json
+
+# MongoDB 연결
+client = pymongo.MongoClient("mongodb://localhost:27017/")
+db = client["ai_writer_db"]
+collection = db["articles"]
+
+# 최근 생성된 기사 조회
+articles = collection.find().sort("created_at", -1).limit(2)
+
+for article in articles:
+    print("=" * 80)
+    print(f"기사 ID: {article['article_id']}")
+    print(f"키워드: {article['keyword']}")
+    print(f"제목: {article['title']}")
+    print(f"요약: {article['summary']}")
+    print(f"처리 시간: {article['processing_time']:.2f}초")
+    print(f"생성 시각: {article['created_at']}")
+    print(f"파이프라인 단계: {', '.join(article['pipeline_stages'])}")
+    print(f"카테고리: {', '.join(article['categories'])}")
+    print(f"태그: {', '.join(article['tags'])}")
+    print(f"\n내용 (첫 500자):\n{article['content'][:500]}...")
+    print("=" * 80)
+    print()
+
+# 저장된 기사 생성
+with open('generated_article.json', 'w', encoding='utf-8') as f:
+    # 최신 기사 하나를 다시 조회
+    latest = collection.find_one(sort=[("created_at", -1)])
+    if latest:
+        # ObjectId를 문자열로 변환
+        latest['_id'] = str(latest['_id'])
+        # datetime 객체를 문자열로 변환
+        latest['created_at'] = latest['created_at'].isoformat()
+        json.dump(latest, f, ensure_ascii=False, indent=2)
+        print(f"✅ 최신 기사가 generated_article.json 파일로 저장되었습니다.")