#!/usr/bin/env python3
"""
AGI Progress Tracker
Tracks Eden's progress from 65.5 → 90+ AGI score
"""
import json
import os
from datetime import datetime

class AGIProgressTracker:
    """Track AGI score improvements over time"""
    def __init__(self):
        self.progress_file = '/Eden/METRICS/agi_progress.json'
        os.makedirs('/Eden/METRICS', exist_ok=True)
        
        self.baseline_score = 65.5
        self.target_score = 90.0
        self.current_score = 65.5
        
        self.criteria_scores = {
            'Autonomous Operation': 95,
            'General Intelligence': 55,
            'Learning & Adaptation': 75,
            'Reasoning & Problem Solving': 60,
            'Creativity & Innovation': 70,
            'Real-World Interaction': 65,
            'Self-Awareness': 55,
            'Social & Emotional Intelligence': 45,
            'Goal-Directed Behavior': 80,
            'Knowledge & Understanding': 50
        }
    
    def update_score(self, criterion, new_score):
        """Update a specific criterion score"""
        old_score = self.criteria_scores[criterion]
        self.criteria_scores[criterion] = new_score
        
        # Recalculate overall
        self.current_score = sum(self.criteria_scores.values()) / len(self.criteria_scores)
        
        print(f"\n✅ Updated {criterion}: {old_score} → {new_score}")
        print(f"   Overall AGI Score: {self.current_score:.1f}/100")
    
    def project_timeline(self):
        """Project timeline to reach 90+ based on current progress"""
        gap = self.target_score - self.current_score
        
        # Estimate based on today's improvements
        improvements_today = self.current_score - self.baseline_score
        
        if improvements_today > 0:
            days_needed = gap / improvements_today
            print(f"\n📊 Timeline Projection:")
            print(f"   Current Score: {self.current_score:.1f}/100")
            print(f"   Target Score: {self.target_score}/100")
            print(f"   Gap Remaining: {gap:.1f} points")
            print(f"   Today's Progress: +{improvements_today:.1f} points")
            print(f"   Projected Days to 90+: {days_needed:.0f} days")
            print(f"   Projected Months: {days_needed/30:.1f} months")
    
    def save_progress(self):
        """Save progress to file"""
        data = {
            'baseline_score': self.baseline_score,
            'current_score': self.current_score,
            'target_score': self.target_score,
            'criteria_scores': self.criteria_scores,
            'last_updated': datetime.now().isoformat()
        }
        
        with open(self.progress_file, 'w') as f:
            json.dump(data, f, indent=2)
        
        print(f"\n✅ Progress saved to {self.progress_file}")

def main():
    print("\n" + "="*70)
    print("📊 AGI PROGRESS TRACKER")
    print("="*70)
    print("Tracking journey from 65.5 → 90+ AGI score")
    print("="*70 + "\n")
    
    tracker = AGIProgressTracker()
    
    # Apply tonight's improvements
    print("Applying tonight's implementations...")
    tracker.update_score('General Intelligence', 60)  # +5 from Knowledge Graph
    tracker.update_score('Knowledge & Understanding', 55)  # +5 from Learning Monitor
    tracker.update_score('Self-Awareness', 60)  # +5 from Introspection
    
    tracker.project_timeline()
    tracker.save_progress()
    
    print("\n✅ AGI Progress Tracker operational!")

if __name__ == "__main__":
    main()