Repository Structure and Architecture Design Proposal

This document outlines the proposed repository structure for the pytest_fixer project, aligning with Domain-Driven Design (DDD) and Clean Architecture principles. It includes recommendations for optimizing the structure for maintainability, scalability, and clarity.

Proposed Repository Structure

pytest_fixer/
├── domain/
│   ├── models.py        # Entities, Value Objects
│   ├── events.py        # Domain events
│   ├── repositories.py  # Repository interfaces
│   ├── services.py      # Domain services (e.g., ErrorAnalysisService)
│   └── __init__.py
├── application/
│   ├── usecases.py      # Application services (Use cases)
│   ├── dto.py           # Data Transfer Objects, if needed
│   └── __init__.py
├── infrastructure/
│   ├── ai_manager.py     # AI integration (fix generation)
│   ├── test_runner.py    # Pytest integration
│   ├── vcs_manager.py    # Git operations
│   ├── repository_impl.py# Repository implementations
│   ├── change_applier.py # Applying and reverting code changes
│   └── __init__.py
├── tests/
│   ├── test_domain_models.py
│   ├── test_error_analysis_service.py
│   ├── test_application_usecases.py
│   ├── test_integration.py
│   └── __init__.py
├── config/
│   ├── settings.py      # Configuration settings
│   └── __init__.py
├── scripts/
│   ├── setup_env.sh     # Environment setup script
│   └── migrate.py       # Database migration script, if needed
├── docs/
│   ├── architecture.md  # Architectural documentation
│   └── user_guide.md    # User guide and tutorials
├── requirements.txt
├── setup.py
├── main.py
├── README.md
└── .github/
    └── workflows/
        └── ci.yml       # Continuous Integration configuration

Layered Structure

  1. Domain Layer
  2. Core business logic: Entities, value objects, domain services, and repository interfaces.

  3. Contains files like: models.py, services.py, and repositories.py.

  4. Application Layer

  5. Manages use cases and coordinates between the domain and infrastructure layers.

  6. Contains files like: usecases.py and dto.py.

  7. Infrastructure Layer

  8. Implements functionalities such as AI integration, test running, and version control.

  9. Contains files like: ai_manager.py, test_runner.py, and vcs_manager.py.

  10. Tests Directory

  11. Organized to ensure comprehensive test coverage for all layers.

Recommendations

1. Separate Concerns Clearly

  • Keep the domain, application, and infrastructure layers distinct.
  • Maintain test files corresponding to each layer in the tests/ directory.

2. Add a config Module

  • Use a dedicated config/ directory for environment settings and configurations.

Example:

pytest_fixer/ ├── config/ │ ├── settings.py # Configuration settings │ └── __init__.py

3. Logging Setup

  • Include a logger.py file in the infrastructure/ layer for centralized logging.

Example:

infrastructure/ ├── logger.py # Logging setup

4. Scripts and Utilities

  • Add a scripts/ directory for utility scripts like migrations and environment setup.

Example:

pytest_fixer/ ├── scripts/ │ ├── setup_env.sh # Environment setup script │ └── migrate.py # Database migration script

5. Documentation

  • Use a docs/ directory to maintain architectural documentation and user guides.

Example:

pytest_fixer/ ├── docs/ │ ├── architecture.md │ └── user_guide.md

6. Virtual Environment and Dependencies

  • Ensure .venv/ is excluded in .gitignore.
  • Manage dependencies using requirements.txt or Pipfile.

7. Continuous Integration (CI)

  • Include CI configurations for automated testing and deployment in .github/workflows/.

Example:

pytest_fixer/ ├── .github/ │ └── workflows/ │ └── ci.yml # Continuous Integration configuration

8. Main Entry Point

  • Use main.py as the starting point for service initialization and orchestration.

Final Thoughts

This structure, based on DDD and Clean Architecture, provides a robust foundation for your project. Implementing these recommendations incrementally will ensure:

  • Clear separation of concerns.
  • Easy onboarding for new contributors.
  • Scalable and maintainable code.

Feel free to adapt the structure and suggestions to suit your specific needs.

Let me know if you’d like further refinements!