feat: Implement async queue-based news pipeline with microservices

Major architectural transformation from synchronous to asynchronous processing:

## Pipeline Services (8 microservices)
- pipeline-scheduler: APScheduler for 30-minute periodic job triggers
- pipeline-rss-collector: RSS feed collection with deduplication (7-day TTL)
- pipeline-google-search: Content enrichment via Google Search API
- pipeline-ai-summarizer: AI summarization using Claude API (claude-sonnet-4-20250514)
- pipeline-translator: Translation using DeepL Pro API
- pipeline-image-generator: Image generation with Replicate API (Stable Diffusion)
- pipeline-article-assembly: Final article assembly and MongoDB storage
- pipeline-monitor: Real-time monitoring dashboard (port 8100)

## Key Features
- Redis-based job queue with deduplication
- Asynchronous processing with Python asyncio
- Shared models and queue manager for inter-service communication
- Docker containerization for all services
- Container names standardized with site11_ prefix

## Removed Services
- Moved to backup: google-search, rss-feed, news-aggregator, ai-writer

## Configuration
- DeepL Pro API: 3abbc796-2515-44a8-972d-22dcf27ab54a
- Claude Model: claude-sonnet-4-20250514
- Redis Queue TTL: 7 days for deduplication

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

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

services/pipeline/shared/models.py

@@ -0,0 +1,113 @@
+"""
+Pipeline Data Models
+파이프라인 전체에서 사용되는 공통 데이터 모델
+"""
+from datetime import datetime
+from typing import List, Dict, Any, Optional
+from pydantic import BaseModel, Field
+import uuid
+
+class KeywordSubscription(BaseModel):
+    """키워드 구독 모델"""
+    keyword_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
+    keyword: str
+    language: str = "ko"
+    schedule: str = "0 */30 * * *"  # Cron expression (30분마다)
+    is_active: bool = True
+    is_priority: bool = False
+    last_processed: Optional[datetime] = None
+    rss_feeds: List[str] = Field(default_factory=list)
+    categories: List[str] = Field(default_factory=list)
+    created_at: datetime = Field(default_factory=datetime.now)
+    owner: Optional[str] = None
+
+class PipelineJob(BaseModel):
+    """파이프라인 작업 모델"""
+    job_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
+    keyword_id: str
+    keyword: str
+    stage: str  # current stage
+    stages_completed: List[str] = Field(default_factory=list)
+    data: Dict[str, Any] = Field(default_factory=dict)
+    retry_count: int = 0
+    max_retries: int = 3
+    priority: int = 0
+    created_at: datetime = Field(default_factory=datetime.now)
+    updated_at: datetime = Field(default_factory=datetime.now)
+    
+class RSSItem(BaseModel):
+    """RSS 피드 아이템"""
+    item_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
+    title: str
+    link: str
+    published: Optional[str] = None
+    summary: Optional[str] = None
+    source_feed: str
+    
+class SearchResult(BaseModel):
+    """검색 결과"""
+    title: str
+    link: str
+    snippet: Optional[str] = None
+    source: str = "google"
+    
+class EnrichedItem(BaseModel):
+    """강화된 뉴스 아이템"""
+    rss_item: RSSItem
+    search_results: List[SearchResult] = Field(default_factory=list)
+    
+class SummarizedItem(BaseModel):
+    """요약된 아이템"""
+    enriched_item: EnrichedItem
+    ai_summary: str
+    summary_language: str = "ko"
+    
+class TranslatedItem(BaseModel):
+    """번역된 아이템"""
+    summarized_item: SummarizedItem
+    title_en: str
+    summary_en: str
+    
+class ItemWithImage(BaseModel):
+    """이미지가 추가된 아이템"""
+    translated_item: TranslatedItem
+    image_url: str
+    image_prompt: str
+    
+class FinalArticle(BaseModel):
+    """최종 기사"""
+    article_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
+    job_id: str
+    keyword_id: str
+    keyword: str
+    title: str
+    content: str
+    summary: str
+    source_items: List[ItemWithImage]
+    images: List[str]
+    categories: List[str] = Field(default_factory=list)
+    tags: List[str] = Field(default_factory=list)
+    created_at: datetime = Field(default_factory=datetime.now)
+    pipeline_stages: List[str]
+    processing_time: float  # seconds
+    
+class TranslatedItem(BaseModel):
+    """번역된 아이템"""
+    summarized_item: Dict[str, Any]  # SummarizedItem as dict
+    translated_title: str
+    translated_summary: str
+    target_language: str = 'en'
+
+class GeneratedImageItem(BaseModel):
+    """이미지 생성된 아이템"""
+    translated_item: Dict[str, Any]  # TranslatedItem as dict
+    image_url: str
+    image_prompt: str
+
+class QueueMessage(BaseModel):
+    """큐 메시지"""
+    message_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
+    queue_name: str
+    job: PipelineJob
+    timestamp: datetime = Field(default_factory=datetime.now)
+    retry_count: int = 0