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/article-assembly/requirements.txt

@@ -0,0 +1,5 @@
+anthropic==0.50.0
+motor==3.1.1
+pymongo==4.3.3
+redis[hiredis]==5.0.1
+pydantic==2.5.0