#!/usr/bin/env python3
"""
UMCP Security Daemon - How It Sees and Responds

Visual demonstration of how the daemon perceives and responds to entities.
Shows the UMCP perspective vs traditional antivirus perspective.
"""


def show_traditional_av_view():
    """Show how traditional AV sees threats."""
    print("=" * 70)
    print("TRADITIONAL ANTIVIRUS VIEW")
    print("=" * 70)
    print()
    print("Detection Method: Signature Matching")
    print()

    entities = [
        ("file1.exe", "SHA256 matches known malware DB", "BLOCK"),
        ("file2.dll", "Heuristic: suspicious API calls", "BLOCK"),
        ("file3.py", "Not in blocklist", "ALLOW"),
        ("url1.com", "Domain in reputation DB (bad)", "BLOCK"),
        ("url2.com", "Not in any list", "ALLOW"),
    ]

    print(f"{'Entity':<20} {'Detection Method':<40} {'Action':<10}")
    print("-" * 70)

    for entity, method, action in entities:
        print(f"{entity:<20} {method:<40} {action:<10}")

    print()
    print("Problems:")
    print("  • Binary decision (ALLOW or BLOCK only)")
    print("  • Zero-day threats (no signature) bypass detection")
    print("  • No concept of 'trust over time'")
    print("  • False positives require manual whitelist")
    print()


def show_umcp_view():
    """Show how UMCP security daemon sees entities."""
    print("=" * 70)
    print("UMCP SECURITY DAEMON VIEW")
    print("=" * 70)
    print()
    print("Detection Method: Validation Through Collapse-Return")
    print("Axiom: 'What Returns Through Collapse Is Real'")
    print("      → 'What Survives Validation Is Trusted'")
    print()

    # Simulate entities with UMCP invariants
    entities = [
        {
            "name": "system_binary",
            "path": "/usr/bin/python3",
            "T": 0.95,
            "theta": 0.05,
            "H": 0.25,
            "tau_A": 1,
            "status": "TRUSTED",
            "action": "ALLOW",
        },
        {
            "name": "user_script",
            "path": "/home/user/script.py",
            "T": 0.72,
            "theta": 0.28,
            "H": 0.45,
            "tau_A": 8,
            "status": "SUSPICIOUS",
            "action": "MONITOR",
        },
        {
            "name": "unknown_exe",
            "path": "/tmp/download.exe",
            "T": 0.48,
            "theta": 0.52,
            "H": 0.68,
            "tau_A": 32,
            "status": "SUSPICIOUS",
            "action": "QUARANTINE",
        },
        {
            "name": "malware",
            "path": "/tmp/evil.bin",
            "T": 0.15,
            "theta": 0.85,
            "H": 0.72,
            "tau_A": "INF_ANOMALY",
            "status": "BLOCKED",
            "action": "BLOCK",
        },
    ]

    print(f"{'Entity':<20} {'T':<6} {'τ_A':<12} {'Status':<14} {'Action':<12}")
    print("-" * 70)

    for entity in entities:
        tau_str = f"{entity['tau_A']}" if isinstance(entity["tau_A"], int) else entity["tau_A"]
        print(f"{entity['name']:<20} {entity['T']:<6.3f} {tau_str:<12} {entity['status']:<14} {entity['action']:<12}")

    print()
    print("How UMCP Sees Each Entity:")
    print()

    for entity in entities:
        print(f"• {entity['name']} ({entity['path']}):")
        print(f"    Trust Fidelity (T): {entity['T']:.3f}")
        print(f"    Threat Drift (θ): {entity['theta']:.3f}")
        print(f"    Security Entropy (H): {entity['H']:.3f}")
        print(f"    Anomaly Return (τ_A): {entity['tau_A']}")

        # Explain the decision
        if entity["tau_A"] == "INF_ANOMALY":
            print("    → No return to baseline detected")
            print(f"    → 'No return = no trust credit' → {entity['action']}")
        elif entity["T"] >= 0.8:
            print(f"    → High trust, returns quickly (τ_A={entity['tau_A']})")
            print(f"    → Validated through collapse-return → {entity['action']}")
        elif entity["T"] >= 0.4:
            print("    → Medium trust, may recover")
            print(f"    → Allow but track closely → {entity['action']}")
        else:
            print("    → Low trust, slow/no return")
            print(f"    → Isolate until validated → {entity['action']}")

        print()

    print("Advantages:")
    print("  • Graduated response (4 levels, not just 2)")
    print("  • Detects zero-days (validation, not signatures)")
    print("  • Trust builds over time (τ_A measures return)")
    print("  • Self-healing (entities can recover from QUARANTINE)")
    print("  • Mathematical foundation (not heuristics)")
    print()


def show_response_timeline():
    """Show how daemon responds over time to a suspicious entity."""
    print("=" * 70)
    print("RESPONSE TIMELINE: Suspicious Entity")
    print("=" * 70)
    print()
    print("Entity: unknown_download.exe")
    print("Scenario: User downloads unknown file, daemon validates over time")
    print()

    timeline = [
        {
            "t": 0,
            "event": "File downloaded",
            "T": None,
            "tau_A": None,
            "status": "NON_EVALUABLE",
            "action": "ALLOW_TRACK",
        },
        {
            "t": 1,
            "event": "First signals collected",
            "T": 0.45,
            "tau_A": None,
            "status": "SUSPICIOUS",
            "action": "ALLOW_MONITORED",
        },
        {
            "t": 5,
            "event": "Anomaly detected (T drops)",
            "T": 0.32,
            "tau_A": "INF_ANOMALY",
            "status": "BLOCKED",
            "action": "QUARANTINE",
        },
        {
            "t": 10,
            "event": "Signals improve",
            "T": 0.58,
            "tau_A": 15,
            "status": "SUSPICIOUS",
            "action": "ALLOW_MONITORED",
        },
        {"t": 15, "event": "Returns to baseline", "T": 0.82, "tau_A": 3, "status": "TRUSTED", "action": "ALLOW"},
    ]

    print(f"{'t':<3} {'Event':<30} {'T':<8} {'τ_A':<14} {'Status':<14} {'Action':<16}")
    print("-" * 90)

    for step in timeline:
        t_str = f"{step['T']:.2f}" if step["T"] is not None else "-"
        tau_str = f"{step['tau_A']}" if step["tau_A"] is not None else "-"
        print(f"{step['t']:<3} {step['event']:<30} {t_str:<8} {tau_str:<14} {step['status']:<14} {step['action']:<16}")

    print()
    print("Key Observations:")
    print()
    print("  t=0: No data yet → Allow but track")
    print("  t=1: Initial signals show medium trust → Monitor closely")
    print("  t=5: Trust drops, no return → Quarantine (UMCP detects threat)")
    print("  t=10: Trust recovering, return detected → Resume monitoring")
    print("  t=15: High trust, fast return → Full trust earned")
    print()
    print("This demonstrates:")
    print("  • Continuous validation (not one-time scan)")
    print("  • Self-healing (quarantine → recovery → trust)")
    print("  • Return-based trust ('survives validation')")
    print("  • Mathematical not heuristic (T, τ_A computed)")
    print()


def show_comparison_table():
    """Show side-by-side comparison."""
    print("=" * 70)
    print("TRADITIONAL AV vs UMCP SECURITY")
    print("=" * 70)
    print()

    comparisons = [
        ("Detection", "Signatures/Heuristics", "Validation (T, τ_A)"),
        ("Response", "ALLOW or BLOCK", "4 levels (ALLOW/MONITOR/QUARANTINE/BLOCK)"),
        ("Zero-day", "Misses (no signature)", "Detects (validation-based)"),
        ("Trust Model", "Static (whitelist/blacklist)", "Dynamic (builds over time)"),
        ("Recovery", "Manual whitelist", "Automatic (τ_A finite → trust earned)"),
        ("Foundation", "Rules + ML heuristics", "Mathematical (UMCP axioms)"),
        ("Continuity", "None", "Seam accounting (trust ledger)"),
        ("Principle", "Block known bad", "'No return = no trust credit'"),
    ]

    print(f"{'Aspect':<15} {'Traditional AV':<30} {'UMCP Security':<30}")
    print("-" * 75)

    for aspect, trad, umcp in comparisons:
        print(f"{aspect:<15} {trad:<30} {umcp:<30}")

    print()


def main():
    """Show all views."""
    show_traditional_av_view()
    print()
    show_umcp_view()
    print()
    show_response_timeline()
    print()
    show_comparison_table()
    print()
    print("=" * 70)
    print("CONCLUSION")
    print("=" * 70)
    print()
    print("UMCP Security Daemon sees the world through:")
    print()
    print("  1. Continuous Validation: Not one-time scans")
    print("  2. Trust Fidelity (T): How much do we trust this entity?")
    print("  3. Anomaly Return (τ_A): Does it return to baseline?")
    print("  4. Trust Ledger: Seam accounting across validations")
    print()
    print("Core Principle:")
    print("  'What Returns Through Collapse Is Real'")
    print("  'What Survives Validation Is Trusted'")
    print()
    print("Result:")
    print("  • Better zero-day detection")
    print("  • Self-healing system")
    print("  • Mathematical foundation")
    print("  • No signature maintenance")
    print()
    print("=" * 70)


if __name__ == "__main__":
    main()
