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CLPR - Command Line Process Runner

Lua Logo License Status Platforms


📄 Open Source Software

This is open source software released under the MIT License! This software is free to use, modify, and distribute. You can use it in both personal and commercial projects. See the license section below for full details. 🔓


Overview

CLPR (Command Line Process Runner) is an advanced Lua library designed for orchestrating and managing parallel processes. It provides a powerful framework for executing asynchronous operations, managing their lifecycle, and retrieving results in a controlled manner:

  1. Define reusable actions
  2. Execute actions in parallel
  3. Monitor process status
  4. Wait for completion with timeouts
  5. Retrieve and manage results

This library is designed for developers who need to:

  • Execute long-running tasks in parallel
  • Orchestrate complex multi-step workflows
  • Manage process lifecycles automatically
  • Handle asynchronous operations with ease
  • Build robust command-line tools and automation scripts

System Architecture

The CLPR library uses a process-based architecture where:

  • Orchestrator: Manages the overall workflow and process coordination
  • Actions: Reusable functions that can be executed asynchronously
  • Action Instances: Running processes that can be monitored and controlled
  • Communication: File-based inter-process communication for results

Key Features

  • Parallel Process Execution - Run multiple actions simultaneously
  • Action Management - Define reusable actions with callbacks
  • Process Monitoring - Check if processes are alive and healthy
  • Result Retrieval - Get return values from completed actions
  • Timeout Handling - Wait for completion with configurable timeouts
  • Automatic Cleanup - Built-in resource management and process cleanup
  • Flexible Dependencies - Pluggable functions for file operations and process management

Supported Operations

  • Action Definition - Create reusable action templates
  • Parallel Execution - Start multiple actions simultaneously
  • Process Control - Kill, monitor, and manage running processes
  • Result Management - Retrieve and handle action results
  • Error Handling - Robust error handling with timeouts
  • Resource Cleanup - Automatic cleanup of temporary resources

AI/LLM Integration

Want to learn how to use CLPR with AI assistance? Download the lib_usage.md file and paste its contents to your preferred AI assistant (ChatGPT, Claude, Copilot, etc.) for interactive learning and code examples.


Releases

File What is
lib.lua Main CLPR Library for Process Orchestration
embed.lua Embedded version with all dependencies

Installation Tutorials

Tutorial Description
Library Installation Standard Library Installation Guide
Build from Scratch Building CLPR from Source Code

Click here Public API to see the full list of public API functions.

Usage Tutorials

Tutorial Description
Getting Started Quick start guide for new users
Action Definition Creating reusable actions and callbacks
Process Management Managing parallel processes and lifecycles
Result Handling Retrieving and managing action results
Error Handling Robust error handling patterns
Best Practices Recommended patterns and performance tips

Quick Example

local dtw = require("luaDoTheWorld/luaDoTheWorld")
local clpr = require("clpr")

-- Create orchestrator
local orchestrator = clpr.newOrchestrator({
    args = arg,
    database_path = ".clpr",
    write_file = dtw.write_file,
    remove_dir = dtw.remove_any,
    load_file = dtw.load_file,
    dumper = dtw.serialize_var,
    loader = dtw.interpret_serialized_var,
    get_pid = dtw.get_pid,
    is_pid_alive = dtw.is_pid_alive,
    kill_process_by_pid = dtw.kill_process,
})

-- Define an action
orchestrator.add_action({
    name = "heavy_task",
    callback = function(args)
        os.execute("sleep " .. args.duration)
        return args.value * 2
    end
})

-- Main execution
orchestrator.add_main(function()
    -- Start parallel actions
    local task1 = orchestrator.start_action("heavy_task", {value = 10, duration = 2})
    local task2 = orchestrator.start_action("heavy_task", {value = 20, duration = 3})
    
    -- Wait for completion
    task1.wait(10, function() os.execute("sleep 1") end)
    task2.wait(10, function() os.execute("sleep 1") end)
    
    -- Get results
    print("Task 1 result: " .. task1.get_result()) -- 20
    print("Task 2 result: " .. task2.get_result()) -- 40
end)

📄 License

This project is licensed under the MIT License - see the license details below.


🔓 MIT License

MIT License

Copyright (c) 2024 OUI Solutions

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


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