eeaa9dcb4b
- 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>
38 lines
1.4 KiB
Python
38 lines
1.4 KiB
Python
import pymongo
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from datetime import datetime
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import json
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# MongoDB 연결
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client = pymongo.MongoClient("mongodb://localhost:27017/")
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db = client["ai_writer_db"]
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collection = db["articles"]
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# 최근 생성된 기사 조회
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articles = collection.find().sort("created_at", -1).limit(2)
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for article in articles:
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print("=" * 80)
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print(f"기사 ID: {article['article_id']}")
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print(f"키워드: {article['keyword']}")
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print(f"제목: {article['title']}")
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print(f"요약: {article['summary']}")
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print(f"처리 시간: {article['processing_time']:.2f}초")
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print(f"생성 시각: {article['created_at']}")
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print(f"파이프라인 단계: {', '.join(article['pipeline_stages'])}")
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print(f"카테고리: {', '.join(article['categories'])}")
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print(f"태그: {', '.join(article['tags'])}")
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print(f"\n내용 (첫 500자):\n{article['content'][:500]}...")
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print("=" * 80)
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print()
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# 저장된 기사 생성
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with open('generated_article.json', 'w', encoding='utf-8') as f:
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# 최신 기사 하나를 다시 조회
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latest = collection.find_one(sort=[("created_at", -1)])
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if latest:
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# ObjectId를 문자열로 변환
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latest['_id'] = str(latest['_id'])
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# datetime 객체를 문자열로 변환
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latest['created_at'] = latest['created_at'].isoformat()
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json.dump(latest, f, ensure_ascii=False, indent=2)
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print(f"✅ 최신 기사가 generated_article.json 파일로 저장되었습니다.") |