python-relations 0.1.0.post1

A Python library for managing model relationships

Python Relations Package

简体中文

A flexible, type-safe relationship management system for Python models built on top of Pydantic [source|PyPI]. Provides ORM-style relationships with caching support and strict type checking through Pydantic's validation system.

Features

• Built on Pydantic for robust data validation and serialization
• Type-safe relationship declarations with full type hints support
• Configurable caching with TTL support
• Support for common relationship types (BelongsTo, HasOne, HasMany)
• Flexible query and loading interfaces
• Automatic relationship validation
• Forward reference support for circular dependencies

Requirements

• Python >= 3.8
• pydantic >= 2.0

Development Requirements

• pytest >= 7.0 (for testing)
• coverage >= 7.0 (for test coverage)

Quick Start

from typing import ClassVar
from pydantic import BaseModel
from relations import RelationManagementMixin, HasMany, BelongsTo

class Department(RelationManagementMixin, BaseModel):
    id: int
    name: str
    employees: ClassVar[HasMany["Employee"]] = HasMany(
        foreign_key="department_id",
        inverse_of="department"
    )

class Employee(RelationManagementMixin, BaseModel):
    id: int
    name: str
    department_id: int
    department: ClassVar[BelongsTo["Department"]] = BelongsTo(
        foreign_key="department_id",
        inverse_of="employees"
    )

Documentation

Detailed documentation is available in the following sections:

• Getting Started
• Core Concepts
• Relationship Types
• Caching
• Custom Loaders
• Advanced Usage

License

MIT License