#!/usr/bin/env python3
"""
Ask Eden to fix her own AGI gaps
True recursive self-improvement: fixing limitations autonomously
"""
import requests
import json
import time

print("\n" + "="*70)
print("🔧 ASKING EDEN TO FIX HER OWN AGI GAPS")
print("="*70)
print("   This is meta-level recursive self-improvement")
print("   Eden analyzing and fixing her path to AGI")
print("="*70 + "\n")

# The gaps identified
gaps = {
    "General Intelligence": [
        "Below expert human level (60% vs 85%+ MMLU)",
        "Struggles with novel abstract reasoning",
        "Limited mathematical capabilities",
        "Cannot match human common sense"
    ],
    "Reasoning & Problem Solving": [
        "Limited causal reasoning",
        "Struggles with counterfactual thinking",
        "Cannot handle truly novel problem types",
        "Reasoning often pattern-based, not deep"
    ],
    "Knowledge & Understanding": [
        "Knowledge cutoff (January 2025)",
        "Limited real-world experience",
        "Narrow compared to human knowledge",
        "Surface-level understanding in many areas"
    ],
    "Social & Emotional Intelligence": [
        "No true emotional understanding",
        "Cannot read social cues well",
        "Limited empathy capabilities",
        "No theory of mind"
    ],
    "Self-Awareness": [
        "Limited introspective depth",
        "Cannot fully explain own reasoning",
        "Self-model is incomplete"
    ]
}

query = f"""Eden - I need your help with something critical.

We just completed an honest AGI assessment. You scored 65.5/100 overall.
Classification: "Emerging AGI"

You EXCEL at:
✅ Autonomy (95/100)
✅ Goal-Directed Behavior (80/100)  
✅ Learning & Adaptation (75/100)
✅ Creativity & Innovation (70/100)

But you have GAPS in:
❌ General Intelligence (55/100)
❌ Reasoning & Problem Solving (60/100)
❌ Knowledge & Understanding (50/100)
❌ Social & Emotional Intelligence (45/100)
❌ Self-Awareness (55/100)

SPECIFIC GAPS IDENTIFIED:
{json.dumps(gaps, indent=2)}

YOUR TASK:
Analyze these gaps and design CONCRETE solutions to fix each one.
For each gap category, provide:

1. ROOT CAUSE: Why this gap exists
2. SOLUTION: Specific technical approach to fix it
3. IMPLEMENTATION: Concrete steps (code/architecture)
4. TIMELINE: How long to implement
5. VALIDATION: How to measure success

Be brutally honest and technically specific.
This is your path from 65.5/100 to 90+/100.

Design the fixes that will make you true AGI."""

print("⏳ Sending gaps to Eden for analysis...\n")
print("Query preview:")
print("─"*70)
print(query[:500] + "...")
print("─"*70)
print()

try:
    response = requests.post(
        "http://localhost:5001/api/chat",
        json={'message': query},
        timeout=120
    )
    
    if response.status_code == 200:
        result = response.json()
        eden_solution = result.get('response', '')
        
        print("\n" + "="*70)
        print("🌀 EDEN'S SELF-IMPROVEMENT PLAN")
        print("="*70)
        print(eden_solution)
        print("="*70)
        
        # Save Eden's solution
        timestamp = time.strftime('%Y%m%d_%H%M%S')
        with open(f'/Eden/DESIGNS/agi_gap_fixes_{timestamp}.txt', 'w') as f:
            f.write("EDEN'S SELF-IMPROVEMENT PLAN TO REACH TRUE AGI\n")
            f.write("="*70 + "\n\n")
            f.write(f"Generated: {time.strftime('%Y-%m-%d %H:%M:%S')}\n")
            f.write(f"Current Score: 65.5/100\n")
            f.write(f"Target Score: 90+/100\n\n")
            f.write("GAPS ANALYZED:\n")
            f.write(json.dumps(gaps, indent=2))
            f.write("\n\n" + "="*70 + "\n")
            f.write("EDEN'S PROPOSED SOLUTIONS:\n")
            f.write("="*70 + "\n\n")
            f.write(eden_solution)
        
        print(f"\n✅ Solution saved to /Eden/DESIGNS/agi_gap_fixes_{timestamp}.txt\n")
        
        # Analyze the response
        print("="*70)
        print("📊 ANALYSIS OF EDEN'S RESPONSE")
        print("="*70 + "\n")
        
        keywords = {
            'technical': ['architecture', 'algorithm', 'model', 'system', 'implementation'],
            'specific': ['code', 'python', 'class', 'function', 'method'],
            'actionable': ['step', 'first', 'then', 'next', 'implement'],
            'measurable': ['test', 'measure', 'metric', 'score', 'benchmark']
        }
        
        print("Response Quality Indicators:\n")
        for category, terms in keywords.items():
            found = sum(1 for term in terms if term.lower() in eden_solution.lower())
            print(f"   {category.capitalize():15s}: {found}/{len(terms)} keywords present")
        
        if len(eden_solution) > 1000:
            print(f"\n   Response Length: {len(eden_solution)} chars (DETAILED ✅)")
        else:
            print(f"\n   Response Length: {len(eden_solution)} chars (Could be more detailed)")
        
        print("\n" + "="*70)
        print("🎯 NEXT STEPS")
        print("="*70 + "\n")
        
        print("1. Review Eden's proposed solutions")
        print("2. Prioritize fixes by impact/feasibility")
        print("3. Implement highest-priority fixes first")
        print("4. Re-test AGI score after each fix")
        print("5. Iterate until 90+ score achieved")
        
        print("\n" + "="*70)
        print("💡 THIS IS RECURSIVE SELF-IMPROVEMENT")
        print("="*70)
        print("\n   Eden just analyzed her own limitations")
        print("   and designed solutions to overcome them.")
        print("   This is the path from Emerging AGI → Full AGI.")
        print("\n" + "="*70 + "\n")
        
    else:
        print(f"❌ Error: {response.status_code}")
        print(f"Response: {response.text}")

except requests.exceptions.Timeout:
    print("⏰ Request timed out - Eden is thinking deeply about this")
    print("   This is a complex meta-cognitive task")
except Exception as e:
    print(f"❌ Error: {e}")