lionfuncs 3.1.1

Hnady python functions

lionfuncs

A Python utility library for robust asynchronous programming, file system operations, and network interactions.

Overview

lionfuncs provides a core set of reusable utilities designed to simplify common programming tasks with a focus on reliability and performance. It offers a comprehensive suite of tools for asynchronous operations, file system interactions, network calls, concurrency management, error handling, and general utilities.

Key Features

• Async Utilities: Powerful tools like alcall and bcall for concurrent execution with fine-grained control
• Concurrency Management: Primitives such as BoundedQueue and WorkQueue for managing concurrent workloads
• File System Operations: Utilities for reading, writing, and processing files with both sync and async APIs
• Network Client: Resilient HTTP client with built-in circuit breaker, retry, and rate limiting capabilities
• Error Handling: Standardized error types and handling mechanisms
• Media Processing: Optional utilities for working with images and PDFs

Installation

Basic Installation

pip install lionfuncs

Installation with Media Utilities

To use the media utilities (e.g., pdf_to_images), install with the media extra:

pip install lionfuncs[media]

Quick Start

Asynchronous Operations

import asyncio
from lionfuncs.async_utils import alcall

async def process_item(item):
    await asyncio.sleep(0.1)  # Simulate some async work
    return item * 2

async def main():
    items = [1, 2, 3, 4, 5]
    # Process all items concurrently with a max concurrency of 3
    results = await alcall(items, process_item, max_concurrent=3)
    print(results)  # [2, 4, 6, 8, 10]

asyncio.run(main())

File System Operations

import asyncio
from lionfuncs.file_system import read_file, save_to_file

async def main():
    # Read a file
    content = await read_file("example.txt")

    # Process the content
    processed_content = content.upper()

    # Save the processed content
    await save_to_file(processed_content, "output", "example_processed.txt")

asyncio.run(main())

Network Operations

import asyncio
from lionfuncs.network import AsyncAPIClient, circuit_breaker, with_retry

# Apply resilience patterns with decorators
@circuit_breaker(failure_threshold=3, recovery_time=10.0)
@with_retry(max_retries=3, base_delay=1.0, backoff_factor=2.0)
async def fetch_data(client, endpoint):
    return await client.request("GET", endpoint)

async def main():
    async with AsyncAPIClient(base_url="https://api.example.com") as client:
        data = await fetch_data(client, "/data")
        print(data)

asyncio.run(main())

Documentation

For comprehensive documentation, including detailed API references and usage guides, visit:

• API Reference
• Usage Guides
  • Async Operations Guide
  • File System Utilities Guide
  • Network Client Guide
  • Resilience Patterns Guide

Contributing

We welcome contributions to lionfuncs! Please see our Contribution Guidelines for details on how to get started, coding standards, and the pull request process.

License

lionfuncs is licensed under the MIT License. See the LICENSE file for details.