pepperpy-core 0.2.1

Core package for PepperPy Framework

PepperPy Core

PepperPy Core is a comprehensive Python utility library designed to accelerate development by providing essential core capabilities. It offers a robust foundation for building scalable, maintainable, and secure Python applications.

Features

• Task Management: Asynchronous task execution with priority queuing
• Event System: Flexible event-driven architecture
• Plugin System: Extensible plugin architecture
• Security: Built-in security features and validation
• Logging: Advanced structured logging
• Configuration: Flexible configuration management
• I/O Operations: Async-first I/O utilities
• Network Operations: Robust networking capabilities
• Resource Management: Efficient resource handling
• Telemetry: Built-in monitoring capabilities
• Type Safety: Full type hints support

Installation

pip install pepperpy-core

Or with Poetry (recommended):

poetry add pepperpy-core

Quick Start

from pepperpy_core import Task, Event, Logger

# Configure logging
logger = Logger("my_app")
logger.info("Starting application")

# Create and execute a task
@Task.register
async def process_data(data: dict) -> dict:
    logger.debug("Processing data", data=data)
    # Process your data
    return processed_data

# Execute the task
result = await process_data.execute({"input": "data"})

# Emit an event
event = Event("data_processed", {"status": "success"})
await event_bus.emit(event)

Core Modules

Task System

Asynchronous task management with features like:

• Priority-based execution
• Task cancellation
• Worker pools
• Task chaining

Event System

Event-driven architecture supporting:

• Event emission and handling
• Priority-based listeners
• Event metadata
• Async event processing

Plugin System

Extensible plugin architecture with:

• Dynamic plugin loading
• Plugin lifecycle management
• Plugin configuration
• Hook system

Security System

Comprehensive security features including:

• Authentication
• Input validation
• Security contexts
• Validation chains

Logging System

Advanced logging capabilities with:

• Structured logging
• Multiple handlers
• Log levels
• Context-aware logging

Configuration System

Flexible configuration management with:

• Hierarchical configuration
• Configuration validation
• Environment-based settings
• Dynamic updates

I/O Operations

Async-first I/O utilities supporting:

• File operations
• Multiple formats
• Streaming
• Resource management

Network Operations

Robust networking capabilities including:

• Async TCP/IP communication
• Connection pooling
• Retry handling
• Load balancing

Development

Prerequisites

• Python 3.12+
• Poetry for dependency management

Setup

1. Clone the repository:

git clone https://github.com/felipepimentel/pepperpy-core.git
cd pepperpy-core

2. Install dependencies:

poetry install

3. Run tests:

poetry run pytest

Contributing

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

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project Structure

pepperpy-core/
├── pepperpy_core/        # Core package
│   ├── task.py          # Task management
│   ├── event.py         # Event system
│   ├── plugin.py        # Plugin system
│   ├── security.py      # Security features
│   ├── logging.py       # Logging system
│   ├── config.py        # Configuration system
│   ├── io.py           # I/O operations
│   ├── network.py      # Network operations
│   └── ...
├── tests/               # Test suite
├── docs/                # Documentation
│   └── modules/         # Module documentation
├── examples/            # Usage examples
└── scripts/             # Development scripts

Best Practices

• Use type hints consistently
• Write comprehensive tests
• Follow PEP 8 guidelines
• Document your code
• Handle errors gracefully

Support

• Issue Tracker: GitHub Issues
• Documentation: Project Documentation
• Discussion: GitHub Discussions

Acknowledgments

• The Python community
• All contributors who have helped shape this project
• Open source projects that have inspired this work