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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>
Site11 - Microservices Architecture
Overview
Microservices platform with Console as API Gateway orchestrating multiple domain services.
Quick Start
Start Services
# Start console service
docker-compose up -d console-backend
# Check status
curl http://localhost:8011/health
Available Endpoints
http://localhost:8011/- Root endpointhttp://localhost:8011/health- Health checkhttp://localhost:8011/api/status- System status
Architecture
- Console: API Gateway and orchestrator
- Services: Domain-specific microservices (users, oauth, images, etc.)
- Database: MongoDB for persistence
- Cache: Redis for caching and pub/sub
Development
See docs/PLAN.md for implementation roadmap and docs/PROGRESS.md for current status.