strura 0.1.2

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Strura - The Architect's CLI

Constructing solid foundations for your code.

Strura is a high-performance code generation and scaffolding tool inspired by the elegance of php artisan. It is designed for developers who want to build robust applications using FastAPI, SQLAlchemy, and Pydantic without wasting time on repetitive boilerplate.

"Architecture is not just about how a project looks, but how it stands. Strura builds the foundation for you."

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Key Features

• DDD-First Scaffolding: Create project structures based on Domain-Driven Design and Clean Architecture.
• Bounded Contexts: Generate isolated contexts with specific layers for Application, Domain, and Infrastructure.
• Type-Safe by Default: Generated code is 100% compliant with Pydantic v2 and FastAPI best practices.
• Powered by uv: Extremely fast dependency management and project initialization.
• Artisanal Code: Every file follows strict industry conventions, Pep8 standards, and structural best practices.

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Philosophy

Strura follows the principles of:

• Domain-Driven Design (DDD)
• Hexagonal Architecture (Ports & Adapters)
• Strict layer separation

The core domain does not depend on external frameworks; Strura focuses on building the structural foundation.

Integrations

Strura can optionally integrate with:

• FastAPI
• SQLAlchemy
• core_api (auth, users, etc.)

Customization

The generated code is designed to be:

• Editable: No hidden logic; what you see is what you own.
• Extensible: Easily adapt the structure as your project grows.
• Independent: Once generated, the code does not depend on the scaffolder.

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Installation

One-liner (installs uv + strura automatically)

curl -LsSf https://raw.githubusercontent.com/m4ck-y/strura/main/install.sh | bash

With uv (if already installed)

uv tool install strura

With pipx

pipx install strura

With pip

pip install strura

Verify the installation

strura --help

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Quick Start

Initialize a new project

strura init my-awesome-api

Or scaffold the current directory

mkdir my-api && cd my-api
strura init .

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Usage & Commands

Strura uses an intuitive verb:subject syntax to keep your workflow fluid and readable.

• Initialize a Project Set up a professional DDD structure. Supports creating a new folder (Mode A) or formatting the current one (Mode B).

  strura init my-awesome-api
  

• Generate a Bounded Context Create a new isolated context with Application, Domain, and Infrastructure layers.

  strura gen:context billing
  

Roadmap (Coming Soon)

• strura gen:schema <context>.<entity>: Pydantic DTOs for input/output.
• strura gen:api <context>.<resource>: Full CRUD endpoints.

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The Strura Directory Standard

Running strura init implements a production-ready directory structure designed for scalability:

.
├── app/
│   ├── contexts/                # Isolated bounded contexts (DDD)
│   ├── settings/                # Environment and Database config
│   ├── shared/                  # Common code across contexts
│   └── main.py                  # FastAPI entry point
├── tests/                       # Unit and integration test suites
├── docs/                        # Command-specific documentation
├── .agent/                      # AI Agent workflows and rules
├── pyproject.toml               # Dependency management (uv)
└── README.md

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Customization

Tailor the code generation to your needs by creating a .strura.yaml file in your project root:

framework: fastapi
database: postgresql
orm: sqlalchemy
indentation: 4
naming_convention: snake_case
templates: ./custom_templates

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Development & Publishing

1. Testing

To add dependencies and run tests:

uv add --dev pytest
uv run pytest -vv

2. Publishing

To develop locally, build, and publish:

# Install in editable mode
uv pip install -e .

# Build the package
uv build

# Publish to PyPI (requires API Token)
uv publish

AI-Agent Workflows

This project is specialized for Agentic Development. We maintain strict standards for AI agents in the .agent/ directory:

• Workflows: Standardized processes for documentation, Git, and automation.
• Rules: Best practices for FastAPI, Pydantic, and SQLAlchemy.

For more details, check .agents/workflows/WRITING.md.

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Contributing

Looking to improve Strura? We welcome architects of all levels!

1. Fork the project.
2. Create your feature branch: git checkout -b feature/amazing-logic.
3. Commit your changes: git commit -m 'Add some amazing feature'.
4. Push to the branch: git push origin feature/amazing-logic.
5. Open a Pull Request.