Add Gemini-powered auto-posting script with OpenAI fallback for sports content automation #13
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Implements modular Python automation for GLOBAL SPORTS WATCH that processes contributor RSS feeds, generates AI-optimized summaries via Gemini Flash (with OpenAI fallback), and applies tier-based XML overlays for Ko-fi monetization.
Core Implementation
auto_post.py(554 lines, 7 classes)GeminiClient/OpenAIClient- Dual AI providers with automatic failover on incomplete output (validateslen(summary) > MIN_SUMMARY_LENGTH)RSSParser- Extracts posts and Ko-fi tier metadata (free/bronze/silver/gold) from feed tagsXMLTemplateGenerator- Generates tier-specific overlays with watermark/ad settings perTIER_CONFIGAuditLogger- JSON logging topublishing_audit.jsonfor monetization attributionTier-based monetization matrix:
Configuration & Automation
GEMINI_API_KEY,OPENAI_API_KEY,RSS_FEED_URLvia environment.github/workflows/auto-post.yml- Scheduled execution every 6 hours with artifact uploadMAX_RSS_ENTRIESenv var controls batch size (default: 10)Testing & Documentation
test_auto_post.py- 6 validation categories (dependencies, imports, class instantiation, XML generation)docs/AUTO_POST_GUIDE.md- Technical reference with GitHub Actions setupdocs/REVENUE_STRATEGY.md- Monetization analysis ($500-7k/month potential, 2500%+ ROI)QUICK_START.md- 5-minute setup workflowExample Usage
Output artifacts:
overlay_{tier}_{timestamp}.xml- Tier-specific templatespublishing_audit.json- Structured action log with monetization flagsauto_post_audit.log- Console outputSecurity
contents: reados.getenv)Original prompt
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