Files
chitai/backend
patrick d78b21c27f feat: check for duplicate files when importing books
Incoming files are matched against what is already stored, keyed on the
KOReader hash and the file size. Bulk uploads skip and report them, deliberate
creates are refused with a 409, the consume directory parks them aside, and
allow_duplicates overrides all three.

Also: books whose metadata generates a path another book already owns are moved
aside, so a forced copy cannot overwrite the original's files.
2026-08-13 17:23:48 -04:00
..
2025-12-04 00:33:37 -05:00
2026-08-10 23:57:46 -04:00
2025-12-04 00:33:37 -05:00
2025-12-04 00:33:37 -05:00
2025-12-04 00:33:37 -05:00
2025-12-04 00:33:37 -05:00
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Chitai API

A RESTful API for managing ebooks, built with Litestar and Python.

Overview

This backend service provides a comprehensive API for ebook management, including:

  • Ebook catalog management (CRUD operations)
  • Virtual libraries and user bookshelves
  • Metadata management (authors, publishers, tags, identifiers)
  • File storage and retrieval
  • Search and filtering capabilities
  • Reading progress tracking
  • User library management

Tech Stack:

  • Python 3.13
  • Litestar (ASGI web framework)
  • Advanced-alchemy/SQLAlchemy (ORM)
  • PostgreSQL (database)
  • Alembic (migrations)

Prerequisites

  • Python 3.13
  • PostgreSQL 17
  • uv

Getting Started

1. Install Dependencies

Using uv (recommended):

uv sync

2. Environment Configuration

Copy the example environment file and configure environment variables:

cp .env.example .env

3. Database Setup

Run migrations:

alchemy --config chitai.database.config.config upgrade

4. Run the Application

Development mode with auto-reload:

uv run litestar --app-dir src/chitai/ run --reload

The API will be available at http://localhost:8000

Development

Project Structure

backend/
├── src/
|   └── chitai
|   |   ├── app.py          # Litestar app initialization
|   |   ├── config.py       # Configuration settings           
|   |   ├── controllers     # API route handlers
|   |   ├── database        
|   |   │   ├── models      # SQLAlchemy models
|   |   ├── exceptions      # Custom exceptions and handlers
|   |   ├── schemas         # Pydantic schemas (DTOs)
|   |   └── services        # Business logic layer
├── migrations/             # Alembic migrations
├── tests/
│   ├── unit/
│   ├── integration/
│   └── conftest.py
├── alembic.ini
├── pyproject.toml
└── README.md

Running Tests

Run all tests:

pytest tests/

Run specific test categories:

# Unit tests only
pytest tests/unit

# Integration tests only
pytest tests/integration

Code Quality

Format code:

ruff format src/

Creating Database Migrations

After modifying models:

alchemy --config chitai.database.config.config make-migrations

For manual migrations:

alchemy --config chitai.database.config.config make-migrations --no-autogenerate

API Documentation

Once the server is running, interactive API documentation is available at: