Features

ArchiPy provides a robust framework for structured Python development, focusing on standardization, testability, and productivity.

Configuration Management

• Standardized Configs: Use base_config and config_template for consistent setup.
• Injection: Seamlessly inject configurations into components.

Adapters & Mocks

• Common Adapters: Pre-built for Redis, SQLAlchemy, and email.
• Mocks: Testable mocks (e.g., redis_mocks, sqlalchemy_mocks) for isolated testing.
• Async Support: Synchronous and asynchronous implementations.

Data Standardization

• Base Entities: Standardized SQLAlchemy entities (base_entities.py).
• DTOs: Pydantic-based DTOs (e.g., pagination_dto, error_dto).
• Type Safety: Enforced via pydantic and mypy.

Helper Utilities

• Utilities: Tools like datetime_utils, jwt_utils, password_utils.
• Decorators: retry, singleton, sqlalchemy_atomic, etc.
• Interceptors: Rate limiting (FastAPI), tracing (gRPC).

BDD Testing

• Behave Integration: Pre-configured for sync/async scenarios.
• Feature Files: Examples like app_utils.feature, totp_utils.feature.
• Step Definitions: Comprehensive steps for testing (e.g., jwt_utils_steps.py).

Best Practices & Tooling

• Poetry: Dependency management for reproducible builds.
• Pre-commit: Automated checks with ruff, black, and mypy.
• Structure: Clean architecture with pyproject.toml for modern Python development.

Modular Design

• Optional Dependencies: Install only what you need (e.g., archipy[redis]).
• Extensible: Add custom adapters and helpers easily.