divine-async-runner 0.1.7

A unified async process runner with configurable output handling and robust error management.

Async Runner

A unified async process runner with configurable output handling and robust error management. Built on anyio for compatibility with asyncio and trio.

✨ Features

• 🚀 Async Process Execution: Built on anyio for compatibility with asyncio and trio
• 📝 Configurable Output Handling: Choose whether to capture and log stdout/stderr
• 🛡️ Robust Error Management: Comprehensive exception handling and process failure detection
• 🔧 Custom Logger Support: Integrate with any logging infrastructure via simple protocol
• 🔄 Session Control: Option to start processes in new sessions (useful for daemons)
• 🎯 Clean API: Single run_process() function for all your subprocess needs
• ✅ 100% Test Coverage: Thoroughly tested with both asyncio and trio backends
• 🐍 Type Safe: Full type hints for better IDE support and fewer runtime errors

🤔 Why Async Runner?

The Problem

Running subprocesses in async Python applications is surprisingly complex:

• Output streaming requires careful task management
• Error handling needs to cover multiple failure modes
• Resource cleanup must be guaranteed
• Different async libraries (asyncio/trio) have different APIs

Our Solution

Async Runner provides a battle-tested, production-ready solution:

# Instead of this complex code:
try:
    async with await anyio.open_process(cmd) as process:
        async with anyio.create_task_group() as tg:
            async def read_stream(stream, name):
                async for line in stream:
                    print(f"{name}: {line.decode().strip()}")
            
            if process.stdout:
                tg.start_soon(read_stream, process.stdout, "stdout")
            if process.stderr:
                tg.start_soon(read_stream, process.stderr, "stderr")
        
        await process.wait()
except Exception as e:
    print(f"Process failed: {e}")

# Just use this:
success = await run_process(cmd, capture_output=True)

📦 Installation

# Using pip
pip install divine-async-runner

# Using poetry
uv add divine-async-runner

# For development
git clone https://github.com/divinescreener/divine-async-runner
cd divine-async-runner
uv sync

Requirements

• Python 3.13+
• anyio (automatically installed)
• trio (optional, for trio backend support)

🚀 Quick Start

import anyio
from async_runner import run_process

async def main():
    # Run a simple command
    success = await run_process(["echo", "Hello, World!"])
    print(f"Success: {success}")
    
    # Capture output
    await run_process(
        ["python3", "--version"],
        capture_output=True,
        process_name="Python Version Check"
    )

anyio.run(main())

📖 Usage Examples

Basic Command Execution

import anyio
from async_runner import run_process

async def main():
    # Simple command
    success = await run_process(["echo", "Hello World"])
    
    # Command with multiple arguments
    success = await run_process(["git", "status", "--porcelain"])
    
    # Use process_name for better logging
    success = await run_process(
        ["npm", "install"],
        process_name="NPM Install"
    )

anyio.run(main())

Capturing and Processing Output

import anyio
from async_runner import run_process

async def main():
    # Output will be logged line by line as it arrives
    success = await run_process(
        ["python3", "-c", """
import time
for i in range(5):
    print(f'Progress: {i+1}/5')
    time.sleep(0.5)
        """],
        capture_output=True,
        process_name="Progress Monitor"
    )
    
    # Error output is captured separately
    await run_process(
        ["python3", "-c", "import sys; sys.stderr.write('Error occurred!')"],
        capture_output=True,
        process_name="Error Example"
    )

anyio.run(main())

Custom Logger Integration

import anyio
import logging
from async_runner import run_process, configure_logger

class CustomLogger:
    def __init__(self):
        self.logger = logging.getLogger(__name__)
    
    def info(self, message: str) -> None:
        self.logger.info(message)
    
    def error(self, message: str) -> None:
        self.logger.error(message)
    
    def warning(self, message: str) -> None:
        self.logger.warning(message)

async def main():
    # Configure custom logger
    configure_logger(CustomLogger())
    
    # Run process with custom logging
    success = await run_process(
        ["python3", "-c", "print('Hello from Python')"],
        capture_output=True,
        process_name="Python Script"
    )

anyio.run(main())

Advanced Process Management

import anyio
from async_runner import run_process

async def deploy_service():
    """Example deployment workflow"""
    
    # Run tests first
    if not await run_process(
        ["pytest", "tests/"],
        capture_output=True,
        process_name="Unit Tests"
    ):
        print("❌ Tests failed, aborting deployment")
        return False
    
    # Build the application
    if not await run_process(
        ["docker", "build", "-t", "myapp:latest", "."],
        capture_output=True,
        process_name="Docker Build"
    ):
        print("❌ Build failed")
        return False
    
    # Start the service in a new session
    success = await run_process(
        ["docker", "run", "-d", "-p", "8080:8080", "myapp:latest"],
        start_new_session=True,
        process_name="Service Startup"
    )
    
    print("✅ Deployment complete!" if success else "❌ Deployment failed")
    return success

async def main():
    await deploy_service()

anyio.run(main())

Running Multiple Processes Concurrently

import anyio
from async_runner import run_process

async def main():
    # Run multiple processes concurrently using anyio task groups
    results = []
    
    async with anyio.create_task_group() as tg:
        async def run_task(task_name, task_num):
            result = await run_process(
                ["python3", "-c", f"import time; time.sleep(1); print('Task {task_num}')"], 
                capture_output=True, 
                process_name=task_name
            )
            results.append(result)
        
        # All three will run in parallel
        tg.start_soon(run_task, "Task 1", 1)
        tg.start_soon(run_task, "Task 2", 2)
        tg.start_soon(run_task, "Task 3", 3)
    
    print(f"All tasks completed. Success: {all(results)}")

anyio.run(main())

Using with Trio

import trio
from async_runner import run_process

async def main():
    # Works seamlessly with trio
    success = await run_process(
        ["echo", "Hello from Trio!"],
        capture_output=True,
        process_name="Trio Example"
    )
    print(f"Success: {success}")

trio.run(main)

📚 API Reference

run_process()

async def run_process(
    command: list[str],
    *,
    capture_output: bool = False,
    start_new_session: bool = False,
    process_name: str = "Unknown"
) -> bool

Parameters:

Parameter	Type	Default	Description
command	list[str]	required	Command and arguments to execute
capture_output	bool	False	Whether to capture and log stdout/stderr
start_new_session	bool	False	Whether to start process in a new session
process_name	str	"Unknown"	Name for logging identification

Returns:

• bool: True if process completed successfully (return code 0), False otherwise

Raises:

• Re-raises anyio.get_cancelled_exc_class() if the task is cancelled

configure_logger()

def configure_logger(logger: Logger) -> None

Configure a custom logger for all process output.

Parameters:

• logger: Object implementing the Logger protocol with info(), error(), and warning() methods

🛡️ Error Handling

Async Runner provides comprehensive error handling:

import anyio
from async_runner import run_process, configure_logger

class ErrorTracker:
    """Example error tracking logger"""
    def __init__(self):
        self.errors = []
    
    def info(self, msg: str): 
        print(f"ℹ️  {msg}")
    
    def error(self, msg: str): 
        print(f"❌ {msg}")
        self.errors.append(msg)
    
    def warning(self, msg: str): 
        print(f"⚠️  {msg}")

async def main():
    tracker = ErrorTracker()
    configure_logger(tracker)
    
    # Command not found
    await run_process(["nonexistent-command"], process_name="Missing Command")
    
    # Non-zero exit code
    await run_process(["python3", "-c", "exit(1)"], process_name="Exit Code 1")
    
    # Permission denied (example)
    await run_process(["cat", "/etc/shadow"], process_name="Permission Test")
    
    print(f"\nTotal errors encountered: {len(tracker.errors)}")

anyio.run(main())

Handled Error Types

1. Process Failures: Non-zero exit codes are logged with the return code
2. Command Not Found: Logged as process execution errors
3. Stream Reading Errors: Handled gracefully with error logging
4. Task Cancellation: Properly propagated with warning log
5. Resource Cleanup: Guaranteed even on exceptions

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

# Clone the repository
git clone https://github.com/divinescreener/divine-async-runner
cd divine-async-runner

# Install dependencies
uv sync

# Set up pre-commit hooks
./setup-pre-commit.sh

# Run tests
uv run pytest

# Run linting
uv run ruff check
uv run mypy src

📂 More Examples

Explore the examples/ directory for complete, runnable examples:

Example	Description
basic_usage.py	Simple subprocess execution patterns
advanced_usage.py	Concurrent execution, retries, and pipelines
logger_integration.py	Custom logger implementations

🔒 Security

• No shell injection vulnerabilities (command passed as list)
• Comprehensive error handling prevents resource leaks
• Regular security scanning with Bandit and Safety
• See SECURITY.md for reporting vulnerabilities

📄 License

MIT License - see LICENSE for details.

🙏 Acknowledgments

• Built on the excellent anyio library
• Inspired by the complexity of subprocess handling in async contexts
• Thanks to all contributors and users

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Made with ❤️ by DIVINE