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/translator/Dockerfile

@@ -0,0 +1,15 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Install dependencies
+COPY ./translator/requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy shared modules
+COPY ./shared /app/shared
+
+# Copy application code
+COPY ./translator /app
+
+CMD ["python", "translator.py"]