feat: Implement backend core functionality for news-engine-console
Phase 1 Backend Implementation: - ✅ MongoDB data models (Keyword, Pipeline, User, Application) - ✅ Pydantic schemas for all models with validation - ✅ KeywordService: Full CRUD, filtering, pagination, stats, toggle status - ✅ PipelineService: Full CRUD, start/stop/restart, logs, config management - ✅ Keywords API: 8 endpoints with complete functionality - ✅ Pipelines API: 11 endpoints with complete functionality - ✅ Updated TODO.md to reflect completion Key Features: - Async MongoDB operations with Motor - Comprehensive filtering and pagination support - Pipeline logging system - Statistics tracking for keywords and pipelines - Proper error handling with HTTP status codes - Type-safe request/response models Files Added: - models/: 4 data models with PyObjectId support - schemas/: 4 schema modules with Create/Update/Response patterns - services/: KeywordService (234 lines) + PipelineService (332 lines) Files Modified: - api/keywords.py: 40 → 212 lines (complete implementation) - api/pipelines.py: 25 → 300 lines (complete implementation) - TODO.md: Updated checklist with completed items Next Steps: - UserService with authentication - ApplicationService for OAuth2 - MonitoringService - Redis integration - Frontend implementation 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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- [x] 프로젝트 구조
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- [x] 기본 설정 (config, database, auth)
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- [x] API 라우터 기본 구조
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- [ ] Pydantic 스키마
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- [x] Pydantic 스키마 (완료 - keyword, pipeline, user, application)
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- [x] MongoDB 데이터 모델 (완료 - keyword, pipeline, user, application)
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- [x] 서비스 레이어 구현 (완료 - KeywordService, PipelineService)
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- [x] Keywords API 완전 구현 (CRUD + stats + toggle)
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- [x] Pipelines API 완전 구현 (CRUD + start/stop/restart + logs + config)
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- [ ] UserService with authentication
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- [ ] ApplicationService
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- [ ] MonitoringService
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- [ ] MongoDB 컬렉션 및 인덱스
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- [ ] 서비스 레이어 구현
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- [ ] Redis 통합
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- [ ] 로그인/인증 API
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- [ ] 에러 핸들링
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