src/core/metacognitive_monitor.py

from dataclasses import dataclass
from typing import Dict, Any

@dataclass
class MonitoringState:
    cognitive_load: float
    attention_focus: Dict[str, float]
    processing_efficiency: float
    error_detection: Dict[str, Any]
    learning_progress: float

class MetaCognitiveMonitor:
    def __init__(self):
        self.current_state = MonitoringState(
            cognitive_load=0.0,
            attention_focus={},
            processing_efficiency=1.0,
            error_detection={},
            learning_progress=0.0
        )

    def analyze(self, current_state):
        self._assess_cognitive_load(current_state)
        self._track_attention_allocation(current_state)
        self._monitor_processing_efficiency(current_state)
        self._detect_errors(current_state)
        self._evaluate_learning(current_state)
        return self.current_state

    def _assess_cognitive_load(self, current_state):
        # Implementation for cognitive load assessment
        pass

    def _track_attention_allocation(self, current_state):
        # Implementation for attention allocation tracking
        pass

    def _monitor_processing_efficiency(self, current_state):
        # Implementation for processing efficiency monitoring
        pass

    def _detect_errors(self, current_state):
        # Implementation for error detection
        pass

    def _evaluate_learning(self, current_state):
        # Implementation for learning evaluation
        pass