tech-stack

fancai Technology Stack

Overview

Web application for reading fiction with AI-generated images from book descriptions.

Frontend (frontend/)

• Framework: React 19 + TypeScript 5.7
• State: TanStack Query 5.90 (server), Zustand 5 (client)
• EPUB: epub.js 0.3.93 with CFI navigation
• Styling: Tailwind CSS 3.4, shadcn/ui
• Build: Vite 6

Key Directories

• src/components/Reader/ — EPUB reader (15 files)
• src/hooks/api/ — TanStack Query hooks
• src/hooks/epub/ — EPUB functionality (22 files)
• src/services/ — IndexedDB caching

Backend (backend/)

• Framework: FastAPI 0.125 + Python 3.11
• Database: PostgreSQL 15 + SQLAlchemy 2.0
• Cache: Redis 7.4
• Background: Celery 5.4
• Migrations: Alembic 1.14

Key Services

• app/services/book_parser.py — EPUB/FB2 parsing
• app/services/gemini_extractor.py — Description extraction
• app/services/imagen_generator.py — Image generation
• app/core/retry.py — Exponential backoff

AI Integration

• Extraction: Google Gemini 3.0 Flash (~$0.02/book)
• Generation: Google Imagen 4 ($0.04/image)

Commands

# Frontend
cd frontend && npm run dev      # Development
cd frontend && npm test         # Tests
cd frontend && npm run build    # Build

# Backend
cd backend && pytest -v         # Tests
cd backend && alembic upgrade head  # Migrations

Conventions

TypeScript

• Functional components with hooks
• TanStack Query for all API calls
• No direct fetch() — use query hooks
• CFI for EPUB position tracking

Python

• Type hints required
• Pydantic for validation
• Repository pattern for DB
• tenacity for retries

Commits

<type>(<scope>): <subject>
Types: feat, fix, docs, style, refactor, test, chore

Production

• URL: https://fancai.ru
• Deploy: docker-compose.lite.yml