fivcglue 0.1.3

A Domain-Driven Design (DDD) programming package for Python, similar to zope.interface

FivcGlue

A Domain-Driven Design (DDD) programming package for Python, similar to zope.interface.

🎯 Overview

FivcGlue provides a clean and intuitive way to implement Domain-Driven Design patterns in Python applications. It offers interfaces and implementations for common DDD building blocks, helping you structure your code following DDD principles.

🚀 Quick Start

Prerequisites

• Python 3.10 or higher
• UV package manager (recommended) or pip

Installation

With UV (recommended):

# Install with development dependencies
make install

# Or minimal installation
make install-min

# With YAML support
uv sync --extra yaml

With pip:

# Basic installation
pip install -e .

# With YAML support
pip install -e ".[yaml]"

# With development dependencies
pip install -e ".[dev,yaml]"

📦 Features

FivcGlue provides core DDD building blocks:

• Interfaces: Define contracts for your domain components
• Configurations: Flexible configuration management (JSON, YAML)
• Caching: In-memory and Redis-based caching implementations
• Logging: Built-in logging utilities
• Mutexes: Distributed locking with Redis support

💻 Usage

Basic Example

from fivcglue.interfaces import IConfig
from fivcglue.implements import YAMLFileConfig

# Load configuration from YAML file
config = YAMLFileConfig("config.yml")
value = config.get("key", default="default_value")

Configuration Management

from fivcglue.implements import JSONFileConfig, YAMLFileConfig

# JSON configuration
json_config = JSONFileConfig("settings.json")

# YAML configuration (requires PyYAML)
yaml_config = YAMLFileConfig("settings.yml")

Caching

from datetime import timedelta
from fivcglue.implements.caches_mem import CacheImpl as MemoryCacheImpl
from fivcglue.implements.caches_redis import CacheImpl as RedisCacheImpl

# In-memory cache
cache = MemoryCacheImpl(_component_site=None, max_size=10000)
cache.set_value("key", b"value", expire=timedelta(hours=1))
value = cache.get_value("key")

# Redis cache (requires redis package)
redis_cache = RedisCacheImpl(_component_site=None, host="localhost", port=6379)
redis_cache.set_value("key", b"value", expire=timedelta(hours=1))

📁 Project Structure

src/fivcglue/
├── interfaces/      # Interface definitions
│   ├── configs.py   # Configuration interfaces
│   ├── caches.py    # Cache interfaces
│   ├── loggers.py   # Logger interfaces
│   └── mutexes.py   # Mutex interfaces
├── implements/      # Concrete implementations
│   ├── configs_jsonfile.py
│   ├── configs_yamlfile.py
│   ├── caches_mem.py
│   ├── caches_redis.py
│   ├── loggers_builtin.py
│   └── mutexes_redis.py
└── fixtures/        # Test fixtures

🛠️ Development

Available Make Commands

make help        # Show all available commands
make install     # Install with dev dependencies
make install-min # Install minimal dependencies
make dev         # Install development dependencies
make lint        # Run code linting
make format      # Format code
make test        # Run tests
make test-cov    # Run tests with coverage
make clean       # Clean temporary files
make build       # Build distribution packages

Running Tests

# Run all tests
make test

# Run with coverage
make test-cov

# Run specific test file
uv run pytest tests/test_configs.py -v

Code Quality

# Lint code
make lint

# Format code
make format

📚 Documentation

For more detailed documentation, see the docs/ directory:

• Architecture - System architecture and design
• Dependencies - Dependency management guide

🤝 Contributing

Contributions are welcome! Please feel free to submit issues and pull requests.

Development Setup

1. Clone the repository
2. Install dependencies: make install
3. Run tests: make test
4. Format code: make format
5. Run linting: make lint

📄 License

MIT License - see LICENSE file for details

🔗 Links

• Documentation: GitHub README
• Issues: GitHub Issues
• Source: GitHub Repository