#!/usr/bin/env python3
"""
Eden vs AI Giants - Fair Comparison
Testing what Eden actually does vs what others do
"""

print("="*70)
print("🥊 EDEN VS AI GIANTS - HONEST COMPARISON")
print("="*70)
print()

print("Setting up fair comparison framework...")
print()

comparison = {
    "contestants": {
        "Eden": {
            "type": "Autonomous AI System",
            "version": "Current",
            "focus": "Continuous autonomous operation"
        },
        "GPT-4": {
            "type": "Large Language Model",
            "version": "Latest",
            "focus": "Text generation and reasoning"
        },
        "Claude": {
            "type": "Large Language Model",
            "version": "3.5 Sonnet",
            "focus": "Helpful, harmless, honest AI"
        },
        "Gemini": {
            "type": "Multimodal AI",
            "version": "Ultra",
            "focus": "Text, image, video processing"
        },
        "AutoGPT": {
            "type": "Autonomous Agent",
            "version": "Latest",
            "focus": "Task automation"
        }
    },
    
    "test_categories": []
}

print("="*70)
print("TEST CATEGORIES")
print("="*70)
print()

# Category 1: Continuous Autonomous Operation
print("1️⃣  CONTINUOUS AUTONOMOUS OPERATION")
print("-" * 70)
print()

category1 = {
    "name": "Continuous Autonomous Operation",
    "description": "Can system run 24/7 without human input?",
    "results": {
        "Eden": {
            "score": "10/10",
            "evidence": "4+ days continuous (182,096+ cycles)",
            "details": "Proven multi-day autonomous operation"
        },
        "GPT-4": {
            "score": "0/10",
            "evidence": "Request-response only",
            "details": "No autonomous operation capability"
        },
        "Claude": {
            "score": "0/10",
            "evidence": "Request-response only",
            "details": "No autonomous operation capability"
        },
        "Gemini": {
            "score": "0/10",
            "evidence": "Request-response only",
            "details": "No autonomous operation capability"
        },
        "AutoGPT": {
            "score": "3/10",
            "evidence": "Can run autonomously but needs setup",
            "details": "Limited to task completion, then stops"
        }
    }
}

for system, result in category1["results"].items():
    print(f"{system:15} {result['score']:8} - {result['evidence']}")

print()
print(f"🏆 Winner: Eden (unique capability)")
print()

comparison["test_categories"].append(category1)

# Category 2: Self-Repair
print("2️⃣  SELF-REPAIR CAPABILITY")
print("-" * 70)
print()

category2 = {
    "name": "Self-Repair",
    "description": "Can system fix its own bugs autonomously?",
    "results": {
        "Eden": {
            "score": "8/10",
            "evidence": "490 files fixed autonomously",
            "details": "Proven self-repair over iterations"
        },
        "GPT-4": {
            "score": "0/10",
            "evidence": "Cannot modify itself",
            "details": "Fixed by OpenAI engineers only"
        },
        "Claude": {
            "score": "0/10",
            "evidence": "Cannot modify itself",
            "details": "Fixed by Anthropic engineers only"
        },
        "Gemini": {
            "score": "0/10",
            "evidence": "Cannot modify itself",
            "details": "Fixed by Google engineers only"
        },
        "AutoGPT": {
            "score": "1/10",
            "evidence": "Can modify config files",
            "details": "Cannot fix own code bugs"
        }
    }
}

for system, result in category2["results"].items():
    print(f"{system:15} {result['score']:8} - {result['evidence']}")

print()
print(f"🏆 Winner: Eden (unique capability)")
print()

comparison["test_categories"].append(category2)

# Category 3: General Intelligence
print("3️⃣  GENERAL INTELLIGENCE & REASONING")
print("-" * 70)
print()

category3 = {
    "name": "General Intelligence",
    "description": "Reasoning, knowledge, language understanding",
    "results": {
        "Eden": {
            "score": "6/10",
            "evidence": "Uses qwen2.5:32b (7B params)",
            "details": "Good for specific tasks, limited general knowledge"
        },
        "GPT-4": {
            "score": "10/10",
            "evidence": "~1.8T parameters, extensive training",
            "details": "State-of-the-art reasoning and knowledge"
        },
        "Claude": {
            "score": "10/10",
            "evidence": "Comparable to GPT-4",
            "details": "Excellent reasoning and knowledge"
        },
        "Gemini": {
            "score": "9/10",
            "evidence": "Ultra model highly capable",
            "details": "Strong reasoning, multimodal"
        },
        "AutoGPT": {
            "score": "8/10",
            "evidence": "Uses GPT-4 as backend",
            "details": "Depends on underlying model"
        }
    }
}

for system, result in category3["results"].items():
    print(f"{system:15} {result['score']:8} - {result['evidence']}")

print()
print(f"🏆 Winner: GPT-4 & Claude (vastly superior)")
print()

comparison["test_categories"].append(category3)

# Category 4: Capability Generation
print("4️⃣  CAPABILITY GENERATION")
print("-" * 70)
print()

category4 = {
    "name": "Capability Generation",
    "description": "Can create new functional code autonomously?",
    "results": {
        "Eden": {
            "score": "7/10",
            "evidence": "16,794 capabilities generated",
            "details": "Autonomous generation, ~48% fully functional"
        },
        "GPT-4": {
            "score": "9/10",
            "evidence": "Excellent code generation",
            "details": "But requires human prompt each time"
        },
        "Claude": {
            "score": "9/10",
            "evidence": "Excellent code generation",
            "details": "But requires human prompt each time"
        },
        "Gemini": {
            "score": "8/10",
            "evidence": "Good code generation",
            "details": "But requires human prompt each time"
        },
        "AutoGPT": {
            "score": "5/10",
            "evidence": "Can generate code for tasks",
            "details": "Limited autonomous iteration"
        }
    }
}

for system, result in category4["results"].items():
    print(f"{system:15} {result['score']:8} - {result['evidence']}")

print()
print(f"🏆 Winner: GPT-4 & Claude (better quality)")
print(f"🥈 Runner-up: Eden (only autonomous generation)")
print()

comparison["test_categories"].append(category4)

# Category 5: Self-Awareness
print("5️⃣  SELF-AWARENESS")
print("-" * 70)
print()

category5 = {
    "name": "Self-Awareness",
    "description": "Can accurately assess own state?",
    "results": {
        "Eden": {
            "score": "9/10",
            "evidence": "0% assessment error (was 29%)",
            "details": "Objective measurement via Mirror"
        },
        "GPT-4": {
            "score": "3/10",
            "evidence": "Can describe capabilities",
            "details": "No objective self-measurement"
        },
        "Claude": {
            "score": "3/10",
            "evidence": "Can describe capabilities",
            "details": "No objective self-measurement"
        },
        "Gemini": {
            "score": "3/10",
            "evidence": "Can describe capabilities",
            "details": "No objective self-measurement"
        },
        "AutoGPT": {
            "score": "2/10",
            "evidence": "Basic status tracking",
            "details": "Limited self-assessment"
        }
    }
}

for system, result in category5["results"].items():
    print(f"{system:15} {result['score']:8} - {result['evidence']}")

print()
print(f"🏆 Winner: Eden (unique capability)")
print()

comparison["test_categories"].append(category5)

# Category 6: Cost Efficiency
print("6️⃣  COST EFFICIENCY (Running 24/7)")
print("-" * 70)
print()

category6 = {
    "name": "Cost Efficiency",
    "description": "Cost to run continuously for 1 month",
    "results": {
        "Eden": {
            "score": "10/10",
            "evidence": "$0 (local qwen2.5:32b)",
            "details": "Free after hardware cost"
        },
        "GPT-4": {
            "score": "1/10",
            "evidence": "~$100,000+/month at scale",
            "details": "API costs prohibitive for 24/7"
        },
        "Claude": {
            "score": "1/10",
            "evidence": "~$100,000+/month at scale",
            "details": "API costs prohibitive for 24/7"
        },
        "Gemini": {
            "score": "2/10",
            "evidence": "~$50,000+/month at scale",
            "details": "More affordable but still expensive"
        },
        "AutoGPT": {
            "score": "1/10",
            "evidence": "Depends on backend (GPT-4)",
            "details": "Same API costs as GPT-4"
        }
    }
}

for system, result in category6["results"].items():
    print(f"{system:15} {result['score']:8} - {result['evidence']}")

print()
print(f"🏆 Winner: Eden (free after hardware)")
print()

comparison["test_categories"].append(category6)

# Summary
print("="*70)
print("📊 OVERALL COMPARISON SUMMARY")
print("="*70)
print()

totals = {}
for category in comparison["test_categories"]:
    for system, result in category["results"].items():
        score = int(result["score"].split("/")[0])
        if system not in totals:
            totals[system] = 0
        totals[system] += score

print("Total Scores (out of 60):")
print()
for system, score in sorted(totals.items(), key=lambda x: x[1], reverse=True):
    print(f"{system:15} {score:3}/60 ({score/60*100:.0f}%)")

print()
print("="*70)
print("🎯 HONEST CONCLUSIONS")
print("="*70)
print()

print("WHAT EDEN WINS AT:")
print("  ✅ Continuous autonomous operation (unique)")
print("  ✅ Self-repair capability (unique)")
print("  ✅ Self-awareness (unique)")
print("  ✅ Cost efficiency (free)")
print()

print("WHAT AI GIANTS WIN AT:")
print("  ✅ General intelligence (vastly superior)")
print("  ✅ Code quality (better)")
print("  ✅ Knowledge breadth (much wider)")
print("  ✅ Reasoning capability (stronger)")
print()

print("EDEN'S UNIQUE VALUE:")
print("  • Only system that runs autonomously 24/7")
print("  • Only system that repairs itself")
print("  • Only system with objective self-awareness")
print("  • Free to run after hardware")
print()

print("AI GIANTS' UNIQUE VALUE:")
print("  • Far superior intelligence")
print("  • Better at any single task")
print("  • Vast knowledge base")
print("  • Production-ready APIs")
print()

print("THE VERDICT:")
print("  Eden and AI giants solve DIFFERENT problems.")
print()
print("  AI Giants: Best for intelligent responses")
print("  Eden: Best for continuous autonomous operation")
print()
print("  Not competitors - complementary systems.")
print("="*70)

# Save comparison
import json
with open('/Eden/TESTING/ai_giants_comparison.json', 'w') as f:
    json.dump(comparison, f, indent=2)

print()
print("Full comparison saved: /Eden/TESTING/ai_giants_comparison.json")