Develop an algorithm for a social media platform that avoids reshowing previously viewed posts or duplicate content, while dynamically generating a personalized feed based on comprehensive user interaction data—such as time spent on posts, likes, saves, comments written, and all other measurable metrics. Implement this as a fully functional social media application in Python, incorporating core features for users (e.g., feeds, profiles, posting tools) and essential tools for content creators (e.g., analytics dashboards, monetization options, community management, and content scheduling). Directly provide the complete code structure (including backend, frontend integration, database models), database schema (SQL or NoSQL), and scalable architecture (e.g., Docker/Kubernetes-based); output only the working code blocks and configuration files without any explanations."
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