specx-diwire-composition

Manage dependency injection with diwire in Specx Python services.

200|35|Updated Jun 17, 2021
One-click install
npx skills add https://github.com/maksimzayats/specx --skill specx-diwire-composition
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: specx-diwire-composition
Source: https://github.com/maksimzayats/specx/tree/main/.agents/skills/specx-diwire-composition
Command: npx skills add https://github.com/maksimzayats/specx --skill specx-diwire-composition

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies dependency injection for Specx Python services using diwire, providing explicit and organized configuration of service components and test overrides.

Core Features & Use Cases

  • Dependency Wiring: Wire dependencies with diwire for Specx services, handling dependencies like ioc/container.py, UoW managers, clients, settings, or factories.
  • DI Rules: Apply specific rules for injecting dependencies, including handling logging, transaction ownership, and avoiding manual object graph assembly.
  • FastAPI Integration: Facilitate explicit composition in FastAPI applications by managing container lifespans and service lifecycle.
  • Test Configuration: Configure tests with explicit container fixtures and diwire overrides for targeted resolution and testing scenarios.
  • Use Case: Suppose you're creating a FastAPI application that interacts with databases. This Skill would guide you through setting up a test environment with appropriate dependencies for integration testing without mocking internal logic.

Quick Start

Utilize the specx-diwire-composition skill to define your dependency wiring and composition in your Specx service.

Frequently Asked Questions about specx-diwire-composition

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up dependency injection in FastAPI using diwire?

Dependency injection in FastAPI using diwire involves coordinating container resolution and component registration to manage the service lifecycle. You wire dependencies like UoW managers, clients, settings, and factories explicitly without manual object graph assembly.

What is the best way to configure test environments for FastAPI services with diwire?

Configuring FastAPI test environments with diwire uses explicit container fixtures and diwire overrides for targeted resolution. This approach enables integration testing of services like database interactions without mocking internal logic.

How does diwire handle dependency injection rules for logging and transactions?

Diwire applies specific dependency injection rules for handling logging and transaction ownership. This ensures organized service component configuration while avoiding manual object graph assembly in your Specx Python services.

Do I need to understand Specx architecture to use diwire for service composition?

Yes, managing dependency injection with diwire requires understanding Specx service architecture and the diwire library for container management. This knowledge is essential for coordinating component registration and optimizing the FastAPI service lifecycle.

Can I avoid manual object graph assembly when wiring Python service dependencies?

You can avoid manual object graph assembly by using diwire to apply specific dependency injection rules. This approach explicitly wires dependencies like ioc/container.py, clients, and factories, ensuring organized configuration for Specx Python services.