subprocess-monitor 0.3.0

A service to manage monitor and spawn subprocess

Subprocess Monitor

A robust Python service for managing, monitoring, and spawning subprocesses with advanced lifecycle management features. Provides both a Python API and CLI interface for subprocess operations using async/await patterns.

Table of Contents

• Why Subprocess Monitor?
• Key Features
• Installation
• Quick Start
• Use Cases vs Built-in subprocess
• API Reference
• CLI Usage
• Architecture
• Development

Why Subprocess Monitor?

While Python's built-in subprocess module is excellent for basic process management, subprocess-monitor provides enterprise-grade features for complex subprocess orchestration:

Problems with Built-in subprocess

• No centralized management: Each subprocess is isolated
• Manual lifecycle tracking: You must track PIDs and process states yourself
• No real-time monitoring: Limited ability to stream output in real-time
• Complex async patterns: Difficult to integrate with async/await workflows
• No process persistence: Processes die with parent termination
• Limited observability: No built-in logging or monitoring

Subprocess Monitor Solutions

• Centralized service: Single point of control for all subprocesses
• Automatic lifecycle management: Built-in process tracking and cleanup
• Real-time streaming: WebSocket-based output streaming
• Async-first design: Native async/await support throughout
• Process persistence: Processes can outlive parent applications
• Rich observability: Comprehensive logging and monitoring
• Cross-platform compatibility: Works on Windows, Linux, and macOS
• REST API: HTTP endpoints for remote process management
• Type safety: Full TypeScript-style typing with runtime validation

Key Features

🎯 Centralized Process Management

• Single service manages multiple subprocesses
• Automatic PID tracking and process ownership
• Built-in process cleanup and resource management

🔄 Real-time Monitoring

• WebSocket subscriptions for live output streaming
• Process state change notifications
• Resource usage monitoring

⚡ Async/Await Native

• Built on aiohttp for high-performance async operations
• Non-blocking subprocess operations
• Concurrent process management

🛡️ Enterprise Security

• Runtime type validation prevents injection attacks
• Secure port binding prevents race conditions
• Process isolation and sandboxing

🌐 Cross-Platform

• Windows, Linux, and macOS support
• Platform-specific optimizations
• Unified API across all platforms

🔌 Multiple Interfaces

• Python API for programmatic access
• CLI for terminal operations
• REST API for remote management
• WebSocket API for real-time updates

Installation

# Using pip
pip install subprocess-monitor

# Using uv (recommended)
uv add subprocess-monitor

# From source
git clone https://github.com/JulianKimmig/subprocess_monitor
cd subprocess-monitor
uv sync

Quick Start

Python API

import asyncio
from subprocess_monitor import SubprocessMonitor

async def main():
    # For server-side usage
    monitor = SubprocessMonitor(host="localhost", port=8080)
    server_task = asyncio.create_task(monitor.run())

    # For client-side usage (more common)
    from subprocess_monitor.helper import send_spawn_request, get_status

    # Start a subprocess via API
    response = await send_spawn_request(
        "python", ["-c", "print('Hello World')"],
        env={"MY_VAR": "value"}, host="localhost", port=8080
    )
    pid = response["pid"]
    print(f"Started process {pid}")

    # Get status
    processes = await get_status(host="localhost", port=8080)
    print(f"Active processes: {processes}")

asyncio.run(main())

CLI Usage

# Start the monitor service
subprocess-monitor start --port 8080

# Spawn a process
subprocess-monitor spawn python -c "print('Hello World')"

# Check status
subprocess-monitor status

# Stop a process
subprocess-monitor stop <pid>

# Subscribe to process output
subprocess-monitor subscribe <pid>

Use Cases vs Built-in subprocess

When to Use Built-in subprocess

✅ Simple one-off commands

import subprocess
result = subprocess.run(["ls", "-la"], capture_output=True, text=True)
print(result.stdout)

✅ Synchronous workflows

with subprocess.Popen(["python", "script.py"]) as proc:
    proc.wait()

✅ Basic process communication

proc = subprocess.Popen(["python"], stdin=subprocess.PIPE, stdout=subprocess.PIPE)
stdout, stderr = proc.communicate(input="print('hello')")

When to Use Subprocess Monitor

✅ Long-running process orchestration

# Built-in subprocess - complex manual management
processes = []
for i in range(10):
    proc = subprocess.Popen(["worker.py", f"--id={i}"])
    processes.append(proc)

# Subprocess Monitor - simple centralized management
monitor = SubprocessMonitor()
for i in range(10):
    await monitor.start_subprocess({"cmd": "python", "args": ["worker.py", f"--id={i}"]})

✅ Real-time output monitoring

# Built-in subprocess - polling required
proc = subprocess.Popen(["tail", "-f", "log.txt"], stdout=subprocess.PIPE)
for line in iter(proc.stdout.readline, b''):
    print(line.decode())

# Subprocess Monitor - WebSocket streaming
async with websockets.connect(f"ws://localhost:8080/subscribe?pid={pid}") as ws:
    async for message in ws:
        data = json.loads(message)
        print(f"{data['stream']}: {data['data']}")

✅ Async/await workflows

# Built-in subprocess - complex async integration
async def run_process():
    proc = await asyncio.create_subprocess_exec("python", "script.py")
    await proc.wait()

# Subprocess Monitor - native async support
async def run_process():
    pid = await monitor.start_subprocess({"cmd": "python", "args": ["script.py"]})
    # Process runs in background - monitor via subscribe_output endpoint

✅ Process lifecycle management

# Built-in subprocess - manual cleanup
import atexit
import signal

processes = []

def cleanup():
    for proc in processes:
        proc.terminate()
        proc.wait()

atexit.register(cleanup)
signal.signal(signal.SIGTERM, lambda s, f: cleanup())

# Subprocess Monitor - automatic cleanup
monitor = SubprocessMonitor()  # Handles all cleanup automatically

✅ Remote process management

# Built-in subprocess - local only
subprocess.run(["python", "script.py"])

# Subprocess Monitor - remote management via REST API
import aiohttp
async with aiohttp.ClientSession() as session:
    async with session.post("http://remote:8080/spawn", json={
        "cmd": "python", "args": ["script.py"]
    }) as resp:
        result = await resp.json()
        print(f"Started remote process {result['pid']}")

✅ Multi-service coordination

# Start multiple interdependent services
services = [
    {"cmd": "redis-server", "args": []},
    {"cmd": "python", "args": ["api_server.py"]},
    {"cmd": "python", "args": ["worker.py"]},
    {"cmd": "nginx", "args": ["-c", "nginx.conf"]}
]

monitor = SubprocessMonitor()
pids = []
for service in services:
    pid = await monitor.start_subprocess(service)
    pids.append(pid)
    await asyncio.sleep(1)  # Staggered startup

# Monitor all services via WebSocket (client-side implementation needed)
# WebSocket endpoint: ws://localhost:8080/subscribe?pid={pid}

API Reference

SubprocessMonitor Class

Constructor

SubprocessMonitor(
    host: str = "localhost",
    port: Optional[int] = None,
    check_interval: float = 2.0,
    logger: Optional[logging.Logger] = None
)

Methods

async start_subprocess(request: SpawnProcessRequest) -> int

• Spawns a new subprocess
• Returns the process PID
• Automatically tracks process lifecycle

async stop_subprocess(pid: int) -> bool

• Terminates a subprocess by PID
• Returns True if successful
• Handles cleanup automatically

Note: The SubprocessMonitor class provides internal process management. For client access, use the helper functions or REST API endpoints:

• GET /: Returns list of active process PIDs
• POST /spawn: Spawn a new subprocess
• POST /stop: Stop a subprocess by PID
• WebSocket /subscribe?pid={pid}: Subscribe to real-time process output

Helper Functions

async send_spawn_request(cmd: str, args: List[str], env: Dict[str, str] = None, host: str = None, port: int = None) -> SpawnRequestResponse

async send_stop_request(pid: int, host: str = None, port: int = None) -> StopRequestResponse

async get_status(host: str = None, port: int = None) -> List[int]

CLI Usage

Starting the Service

# Start with default settings
subprocess-monitor start

# Start with custom port
subprocess-monitor start --port 8080

# Start with custom host and port
subprocess-monitor start --host 0.0.0.0 --port 8080

Process Management

# Spawn a simple command
subprocess-monitor spawn echo "Hello World"

# Spawn with arguments
subprocess-monitor spawn python script.py --arg1 value1

# Spawn with environment variables
subprocess-monitor spawn --env VAR1=value1 --env VAR2=value2 python script.py

# Check active processes
subprocess-monitor status

# Stop a process
subprocess-monitor stop 12345

# Subscribe to process output
subprocess-monitor subscribe 12345

Environment Variables

• SUBPROCESS_MONITOR_HOST: Default host (default: localhost)
• SUBPROCESS_MONITOR_PORT: Default port (default: 5000)
• SUBPROCESS_MONITOR_PID: Monitor service PID (auto-set)

Architecture

Core Components

subprocess_monitor/
├── __init__.py              # Package exports
├── __main__.py              # CLI entry point
├── subprocess_monitor.py    # Core service logic
├── helper.py               # Client helper functions
├── types.py                # TypedDict definitions
├── defaults.py             # Configuration constants
└── validation.py           # Runtime type validation

Key Design Patterns

Async/Await First: Built on asyncio and aiohttp for high-performance async operations

Type Safety: Full typing with runtime validation using TypedDict and custom validators

Resource Management: Automatic cleanup of processes, sockets, and WebSocket connections

Cross-Platform: Unified API with platform-specific optimizations

Security: Input validation, secure port binding, and process isolation

Service Architecture

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   CLI Client    │    │   Python API     │    │  HTTP Client    │
└─────────┬───────┘    └─────────┬────────┘    └─────────┬───────┘
          │                      │                       │
          └──────────────────────┼───────────────────────┘
                                 │
                    ┌────────────▼────────────┐
                    │  Subprocess Monitor     │
                    │  (aiohttp server)       │
                    └────────────┬────────────┘
                                 │
        ┌────────────────────────┼────────────────────────┐
        │                        │                        │
┌───────▼────────┐    ┌─────────▼────────┐    ┌─────────▼────────┐
│ REST Endpoints │    │ WebSocket Stream │    │ Process Manager  │
│ /spawn         │    │ /subscribe       │    │ - Lifecycle      │
│ /stop          │    │ Real-time I/O    │    │ - Monitoring     │
│ /status        │    │ JSON messages    │    │ - Cleanup        │
└────────────────┘    └──────────────────┘    └──────────────────┘

Development

Setup

# Clone and setup
git clone https://github.com/JulianKimmig/subprocess_monitor
cd subprocess-monitor
uv sync

# Install pre-commit hooks
uv run pre-commit install

Testing

# Run all tests
uv run pytest

# Run with coverage
uv run pytest --cov=subprocess_monitor

# Run specific test
uv run pytest tests/test_sm.py::TestHelperFunctions::test_send_spawn_request

Code Quality

# Format code
uv run ruff format .

# Lint code
uv run ruff check . --fix

# Type checking
uv run flake8

# Security scanning
uv run vulture subprocess_monitor

# Run all checks
uv run pre-commit run --all-files

Project Structure

• Type Safety: Uses TypedDict for API contracts with runtime validation
• Async Patterns: Built on asyncio for non-blocking operations
• Testing: Comprehensive test suite with IsolatedAsyncioTestCase
• Security: Input validation and secure resource management
• Cross-Platform: Works on Windows, Linux, and macOS

---

License

MIT License - see LICENSE file for details.

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes with tests
4. Run the full test suite
5. Submit a pull request

Support

• 🐛 Bug Reports: GitHub Issues
• 💬 Discussions: GitHub Discussions
• 📚 Documentation: Wiki