active_code_runner.yaml

import subprocess
import json
import logging

class ActiveCodeRunner:
    """
    A modular execution runner for handling development workflows.
    """
    def __init__(self, environment_config=None):
        self.config = environment_config or {}
        logging.basicConfig(level=logging.INFO)

    def execute_snippet(self, code, language="python"):
        """
        Executes a code snippet within a isolated subprocess.
        """
        try:
            if language == "python":
                process = subprocess.Popen(
                    ['python3', '-c', code],
                    stdout=subprocess.PIPE,
                    stderr=subprocess.PIPE,
                    text=True
                )
                stdout, stderr = process.communicate()
                return {"status": "success", "output": stdout, "error": stderr}
            else:
                return {"status": "error", "message": "Language not supported"}
        except Exception as e:
            return {"status": "error", "message": str(e)}

# Implementation Example
if __name__ == "__main__":
    runner = ActiveCodeRunner()
    sample_code = "print('Execution active: System initialized.')"
    result = runner.execute_snippet(sample_code)
    
    if result["status"] == "success":
        print(f"Runner Output: {result['output']}")
    else:
        print(f"Runner Error: {result['error']}")




import asyncio
import uuid
import time
import json
import logging
from dataclasses import dataclass, field
from datetime import datetime

@dataclass
class ExecutionResult:
    task_id: str
    output: str
    error: str
    execution_time: float
    timestamp: str = field(default_factory=lambda: datetime.now().isoformat())

class AdvancedCodeRunner:
    """
    Asynchronous runner designed for high-performance automation 
    and integration with monitoring HUD systems.
    """
    def __init__(self):
        self.active_tasks = {}
        self.logger = logging.getLogger("ActiveCodeRunner")

    async def run_in_sandbox(self, code: str):
        task_id = str(uuid.uuid4())
        start_time = time.perf_counter()
        
        # In a production environment, implement a secure container 
        # (e.g., Docker or WASM sandbox) here.
        process = await asyncio.create_subprocess_exec(
            'python3', '-c', code,
            stdout=asyncio.subprocess.PIPE,
            stderr=asyncio.subprocess.PIPE
        )
        
        stdout, stderr = await process.communicate()
        end_time = time.perf_counter()
        
        result = ExecutionResult(
            task_id=task_id,
            output=stdout.decode().strip(),
            error=stderr.decode().strip(),
            execution_time=end_time - start_time
        )
        
        self.active_tasks[task_id] = result
        return result

# Example Usage
async def main():
    runner = AdvancedCodeRunner()
    
    # Advanced code to execute
    code_task = "import math; print(f'Calculated Complexity: {math.pi * 42}')"
    
    result = await runner.run_in_sandbox(code_task)
    
    # Formatted output for HUD integration
    hud_output = {
        "event": "EXECUTION_COMPLETE",
        "data": {
            "id": result.task_id,
            "latency_ms": round(result.execution_time * 1000, 2),
            "payload": result.output
        }
    }
    print(json.dumps(hud_output, indent=2))

if __name__ == "__main__":
    asyncio.run(main())



<svg width="100" height="100" viewBox="0 0 100 100" fill="none" xmlns="http://www.w3.org/2000/svg">
  <!-- Outer HUD Ring -->
  <circle cx="50" cy="50" r="45" stroke="#00F2FF" stroke-width="2" stroke-dasharray="10 5" opacity="0.6"/>
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</svg>




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.hud-icon {
    background: rgba(255, 255, 255, 0.05);
    backdrop-filter: blur(10px);
    border: 1px solid rgba(255, 255, 255, 0.1);
    border-radius: 12px;
}