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Architecture Overview

Problem Statement

Book Recommender provides intelligent, personalized book recommendations using modern LLM and search APIs. It is designed for extensibility, security, and production-readiness.

Architecture

  • src/: Core logic, modularized by responsibility
  • config/: Configuration and environment setup
  • scripts/: Automation and utility scripts
  • tests/: Unit and integration tests
  • docs/: Design, API, and architecture documentation

Key Modules

  • app.py: Application entrypoint
  • recommender.py: Recommendation engine (SOLID, testable)
  • google_books.py: External API integration
  • ui.py: User interface logic
  • analytics.py: Usage analytics (optional)
  • config.py: Centralized configuration loader
  • logger.py: Structured logging

Design Principles

  • Separation of concerns
  • SOLID, DRY, Clean Code
  • Secure by default (no hardcoded secrets)
  • Extensible and testable

Ownership

  • Each module has a clear owner and responsibility
  • Contributions follow the guidelines in CONTRIBUTING.md

Extensibility

  • Add new recommenders, data sources, or UIs by following the modular structure

For more details, see docs/ and inline code comments.