Create system_orchestrator.py

system_orchestrator.py

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+import asyncio
+import logging
+import json
+import os
+import sys
+import uuid
+import signal
+import time
+import psutil
+import threading
+from abc import ABC, abstractmethod
+from datetime import datetime
+from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor
+from typing import Dict, Any, List, Optional, Union, Callable
+from dataclasses import dataclass, field
+
+# ==========================================
+# 1. ADVANCED CONFIGURATION & CONSTANTS
+# ==========================================
+@dataclass
+class SystemConfig:
+    version: str = "2.0.1-Stable"
+    max_workers: int = os.cpu_count() or 4
+    timeout: int = 60
+    memory_limit_mb: int = 512
+    db_path: str = "data/system_state.json"
+    log_file: str = "logs/aumcore_main.log"
+    enable_telemetry: bool = True
+
+# ==========================================
+# 2. ENHANCED LOGGING SYSTEM
+# ==========================================
+class AumLogger:
+    """Professional Logging System with Multiple Outputs"""
+    def __init__(self, name: str, log_file: str):
+        if not os.path.exists('logs'): os.makedirs('logs')
+        self.logger = logging.getLogger(name)
+        self.logger.setLevel(logging.DEBUG)
+        
+        formatter = logging.Formatter('%(asctime)s [%(levelname)s] %(name)s: %(message)s')
+        
+        # File Handler
+        fh = logging.FileHandler(log_file)
+        fh.setFormatter(formatter)
+        self.logger.addHandler(fh)
+        
+        # Console Handler
+        ch = logging.StreamHandler()
+        ch.setFormatter(formatter)
+        self.logger.addHandler(ch)
+
+    def info(self, msg): self.logger.info(msg)
+    def error(self, msg): self.logger.error(msg)
+    def warning(self, msg): self.logger.warning(msg)
+
+# ==========================================
+# 3. CUSTOM EXCEPTIONS & ERROR HANDLING
+# ==========================================
+class AumCoreError(Exception):
+    """Base exception for AumCore system"""
+    def __init__(self, message: str, error_code: int):
+        super().__init__(message)
+        self.error_code = error_code
+
+# ==========================================
+# 4. PERFORMANCE TRACKING DECORATORS
+# ==========================================
+def monitor_system_resources(func: Callable):
+    """Decorator to monitor CPU and Memory usage during execution"""
+    @functools.wraps(func)
+    async def wrapper(*args, **kwargs):
+        process = psutil.Process(os.getpid())
+        mem_before = process.memory_info().rss / (1024 * 1024)
+        start_time = time.perf_counter()
+        
+        result = await func(*args, **kwargs)
+        
+        end_time = time.perf_counter()
+        mem_after = process.memory_info().rss / (1024 * 1024)
+        
+        logging.info(f"Method {func.__name__} executed. Time: {end_time-start_time:.2f}s | Mem Delta: {mem_after-mem_before:.2f}MB")
+        return result
+    return wrapper
+
+import functools # Re-importing inside for safety if used as standalone
+
+# ==========================================
+# 5. CORE INTERFACES (CONTRACTS)
+# ==========================================
+class IEngine(ABC):
+    @abstractmethod
+    async def startup(self): pass
+    @abstractmethod
+    async def shutdown(self): pass
+    @abstractmethod
+    async def process_request(self, data: Any): pass
+
+# ==========================================
+# 6. DATA PERSISTENCE LAYER
+# ==========================================
+class StateManager:
+    """Handles Saving and Loading System State"""
+    def __init__(self, path: str):
+        self.path = path
+        self._lock = threading.Lock()
+        self._init_storage()
+
+    def _init_storage(self):
+        if not os.path.exists(os.path.dirname(self.path)):
+            os.makedirs(os.path.dirname(self.path))
+        if not os.path.exists(self.path):
+            self.save_state({"sessions": [], "metrics": {}})
+
+    def save_state(self, data: Dict):
+        with self._lock:
+            with open(self.path, 'w') as f:
+                json.dump(data, f, indent=4)
+
+    def load_state(self) -> Dict:
+        with self._lock:
+            with open(self.path, 'r') as f:
+                return json.load(f)
+
+# ==========================================
+# 7. ASYNC AI TASK PROCESSOR
+# ==========================================
+class TaskProcessor(IEngine):
+    def __init__(self, config: SystemConfig):
+        self.config = config
+        self.logger = AumLogger("TaskProcessor", config.log_file)
+        self.thread_pool = ThreadPoolExecutor(max_workers=config.max_workers)
+        self.process_pool = ProcessPoolExecutor(max_workers=2)
+        self.active_tasks = 0
+
+    async def startup(self):
+        self.logger.info(f"System Version {self.config.version} starting up...")
+        self.logger.info(f"CPU Workers available: {self.config.max_workers}")
+        await asyncio.sleep(1) # Simulated hardware check
+
+    async def shutdown(self):
+        self.logger.info("Cleaning up resources...")
+        self.thread_pool.shutdown(wait=True)
+        self.process_pool.shutdown(wait=True)
+
+    @monitor_system_resources
+    async def process_request(self, payload: Dict):
+        self.active_tasks += 1
+        request_id = payload.get("id", str(uuid.uuid4()))
+        
+        try:
+            loop = asyncio.get_running_loop()
+            # Offloading heavy computation to process pool to avoid blocking Event Loop
+            result = await loop.run_in_executor(
+                self.process_pool, 
+                self._compute_heavy_logic, 
+                payload.get("data")
+            )
+            return {"id": request_id, "result": result, "timestamp": str(datetime.now())}
+        except Exception as e:
+            self.logger.error(f"Processing failed: {str(e)}")
+            return {"error": "Processing Error", "id": request_id}
+        finally:
+            self.active_tasks -= 1
+
+    @staticmethod
+    def _compute_heavy_logic(data: str) -> str:
+        """Isolated function for CPU intensive work"""
+        time.sleep(2) # Simulated Neural Network Inference
+        return f"PROCESSED_DATA_{data.upper()}"
+
+# ==========================================
+# 8. MASTER ORCHESTRATOR
+# ==========================================
+class AumCoreMaster:
+    def __init__(self):
+        self.config = SystemConfig()
+        self.logger = AumLogger("Master", self.config.log_file)
+        self.state = StateManager(self.config.db_path)
+        self.processor = TaskProcessor(self.config)
+        self.is_running = True
+
+        # Register OS Signals for Graceful Exit
+        signal.signal(signal.SIGINT, self._signal_handler)
+        signal.signal(signal.SIGTERM, self._signal_handler)
+
+    def _signal_handler(self, sig, frame):
+        self.logger.warning(f"Signal {sig} received. Shutting down...")
+        self.is_running = False
+
+    async def run_forever(self):
+        await self.processor.startup()
+        self.logger.info("Master loop started. Listening for tasks...")
+        
+        try:
+            while self.is_running:
+                # In a real app, this would be a web server or message queue listener
+                dummy_input = f"input_batch_{int(time.time())}"
+                response = await self.processor.process_request({"data": dummy_input})
+                
+                # Update State
+                current_state = self.state.load_state()
+                current_state["sessions"].append(response)
+                self.state.save_state(current_state)
+                
+                self.logger.info(f"Task Handled: {response['id']}")
+                await asyncio.sleep(5) # Throttling for demo
+        except Exception as e:
+            self.logger.error(f"Critical System Failure: {str(e)}")
+        finally:
+            await self.processor.shutdown()
+
+# ==========================================
+# 9. EXECUTION ENTRY POINT
+# ==========================================
+async def bootstrap():
+    """Main Entry point with proper lifecycle management"""
+    master = AumCoreMaster()
+    await master.run_forever()
+
+if __name__ == "__main__":
+    try:
+        if sys.platform == 'win32':
+            asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
+        asyncio.run(bootstrap())
+    except KeyboardInterrupt:
+        pass
+    except Exception as e:
+        print(f"FATAL ERROR: {e}")