di-done-right 1.0.1

A modern dependency injection framework for Python inspired by .NET DI

Python Dependency Injection Framework

A dependency injection framework for Python inspired by .NET's DI container system. This framework provides a clean and intuitive way to manage dependencies in your Python applications.

Features

• Service registration with multiple lifetime scopes (Singleton, Transient, Scoped)
• Interface-based and concrete type registration
• Keyed services - Register multiple implementations of the same interface with keys
• Static container management - Global ServiceProvider for easy application-wide access
• FastAPI integration - Built-in support for FastAPI dependency injection
• Constructor injection with automatic dependency resolution
• Interface-based dependency resolution
• Circular dependency detection
• Type-safe service resolution
• Easy-to-use registration API
• Factory function support
• Thread-safe operations

Quick Start

from di_container import ServiceProvider, ServiceLifetime

# Configure services once at application startup
def configure_services(container):
    container.register(IUserService, UserService, ServiceLifetime.SINGLETON)
    container.register(IRepository, DatabaseRepository, ServiceLifetime.SCOPED)
    container.register(Logger, lifetime=ServiceLifetime.SINGLETON)

ServiceProvider.configure(configure_services)

# Use services anywhere in your application
user_service = ServiceProvider.resolve(IUserService)
logger = ServiceProvider.resolve(Logger)

# Or use convenience functions
from di_container import get_service
user_service = get_service(IUserService)

Installation

pip install di-done-right

# For FastAPI integration support
pip install di-done-right[fastapi]

# For development
pip install di-done-right[dev]

Usage Examples

Basic Registration

from di_container import DIContainer, ServiceLifetime

container = DIContainer()

# Interface to implementation
container.register(IUserService, UserService, ServiceLifetime.SINGLETON)

# Concrete type to itself
container.register(DatabaseService, lifetime=ServiceLifetime.SINGLETON)
container.register(Logger)  # Default TRANSIENT lifetime

# Instance registration
config = Configuration("connection_string")
container.register_instance(IConfiguration, config)

# Factory registration
container.register_factory(IEmailService, create_email_service)

# Keyed registrations
container.register_keyed(IPaymentService, "paypal", PayPalService)
container.register_keyed_instance(IConfig, "dev", dev_config)
container.register_keyed_factory(ICache, "redis", create_redis_cache)

Service Resolution

# Resolve services with automatic dependency injection
user_service = container.resolve(IUserService)
logger = container.resolve(Logger)

# Resolve keyed services
paypal_service = container.resolve_keyed(IPaymentService, "paypal")
stripe_service = container.resolve_keyed(IPaymentService, "stripe")

# Optional resolution (returns None if not found)
apple_pay = container.try_resolve_keyed(IPaymentService, "applepay")

Static Container Setup

from di_container import ServiceProvider, get_service

# Configure services once at startup
def configure_services(container):
    container.register(ILogger, ConsoleLogger, ServiceLifetime.SINGLETON)
    container.register(IUserService, UserService, ServiceLifetime.TRANSIENT)

ServiceProvider.configure(configure_services)

# Use anywhere in your application
logger = ServiceProvider.resolve(ILogger)
user_service = get_service(IUserService)  # Convenience function

FastAPI Integration

from fastapi import FastAPI, Depends
from di_container.fastapi_integration import FastAPIIntegration, inject

# Configure services
def configure_services(container):
    container.register(IUserService, UserService, ServiceLifetime.SINGLETON)

app = FastAPI(lifespan=FastAPIIntegration.create_lifespan_manager(configure_services))

# Use dependency injection in routes
@app.get("/users/{user_id}")
async def get_user(
    user_id: int,
    user_service: IUserService = Depends(inject(IUserService))
):
    return user_service.get_user(user_id)

Keyed Services

# Register multiple implementations with keys
container.register_keyed(IPaymentService, "paypal", PayPalService)
container.register_keyed(IPaymentService, "stripe", StripeService)
container.register_keyed(IPaymentService, "crypto", CryptoService)

# Resolve by key
payment_service = container.resolve_keyed(IPaymentService, "paypal")
# Or with ServiceProvider
payment_service = ServiceProvider.resolve_keyed(IPaymentService, "paypal")

# Get all services for a type
all_payment_services = container.get_all_services(IPaymentService)

Scoped Services

container.register(IEmailService, EmailService, ServiceLifetime.SCOPED)

scope = container.begin_scope()
try:
    email_service1 = container.resolve(IEmailService)
    email_service2 = container.resolve(IEmailService)
    # email_service1 is email_service2 -> True (same instance in scope)
finally:
    container.end_scope()

Documentation and Examples

Getting Started

See the Quick Reference Guide for common patterns and immediate usage.

Comprehensive Documentation

The Complete User Documentation includes:

• Detailed API reference
• Advanced usage patterns
• FastAPI integration guide
• Real-world examples
• Best practices and troubleshooting

Example Applications

Check the examples/ directory for working demonstrations:

• basic_usage.py - Basic container usage
• advanced_usage.py - Advanced features like factories and instances
• concrete_types_usage.py - Working with concrete types without interfaces
• keyed_services_usage.py - Multiple implementations with keys
• static_container_usage.py - Global container management
• fastapi_example.py - FastAPI integration
• comprehensive_example.py - Complete e-commerce system example

Structure

• di_container/ - Core DI framework
  • container.py - Main DI container implementation
  • registration.py - Service registration and configuration
  • exceptions.py - Custom exceptions
  • enums.py - Enumerations and constants
• examples/ - Usage examples
• tests/ - Unit tests

Contributing

This project follows Python best practices and includes comprehensive testing.