"""
arifOS Trinity Framework (v50.5.23)
Three Universal Trinities Implementation

The Complete Epistemological Framework:
    Trinity I:   Physics × Math × Symbol        (Structural)
    Trinity II:  Human × AI × Institution × Earth (Governance)
    Trinity III: Time × Energy × Space          (Constraint)

5-Tool Interface:
    000_init    → Gate (F11, F12, F13)
    agi_genius  → Mind Δ (F2, F4, F6)
    asi_act     → Heart Ω (F3, F5, F7)
    apex_judge  → Soul Ψ (F8, F9, F10)
    999_vault   → Seal (F1)

Metabolic Pipeline (111-888):
    111 SENSE    → AGI Δ: Parse input, map context
    222 REFLECT  → AGI Δ: Sequential thinking
    333 REASON   → AGI Δ: TAC analysis, ATLAS mapping
    444 EVIDENCE → ASI Ω: Gather truth grounding
    555 EMPATHIZE → ASI Ω: Stakeholder consideration
    666 ALIGN    → ASI Ω: Ethical alignment check
    777 FORGE    → EUREKA moment, solution synthesis
    888 JUDGE    → APEX Ψ: Final verdict

DITEMPA BUKAN DIBERI — Forged, Not Given.
"""

from dataclasses import dataclass, field
from enum import Enum
from typing import Any, Dict, List, Optional
import time
import hashlib


# =============================================================================
# VERDICT SYSTEM (Anomalous Contrast Theory)
# =============================================================================

class Verdict(Enum):
    """
    Three-state verdict system with energy costs.

    Anomalous Contrast:
        VOID is EXPENSIVE (3× energy, requires justification)
        SEAL is EARNED (ΔS ≤ 0, requires clarity)
        SABAR is DEFAULT (patience, retry)
    """
    SEAL = "SEAL"    # ✓ All trinities approve
    SABAR = "SABAR"  # ⏳ Default, needs refinement (72h decay)
    VOID = "VOID"    # ✗ Rejected with justification


@dataclass
class VerdictEnergy:
    """Energy costs for verdicts (Anomalous Contrast)."""
    E_min: float = 1.0

    def seal_cost(self) -> float:
        """SEAL: Low energy (earned through clarity)."""
        return self.E_min

    def sabar_cost(self) -> float:
        """SABAR: Medium energy (learning)."""
        return self.E_min / 2

    def void_cost(self) -> float:
        """VOID: High energy (must justify)."""
        return self.E_min * 3


# =============================================================================
# TRINITY I: STRUCTURAL (Physics × Math × Symbol)
# =============================================================================

@dataclass
class TrinityStructural:
    """
    Trinity I: Symbolic-Physical Systems

    Purpose: "Is it POSSIBLE?"
    Generates: Formal knowledge (math, physics, computation)
    """
    # Physics: What transformations are allowed
    physics_possible: bool = True
    physics_reason: str = ""

    # Mathematics: How transformations relate
    math_sound: bool = True
    math_reason: str = ""

    # Symbol: How structures are represented
    symbol_valid: bool = True
    symbol_reason: str = ""

    def evaluate(self) -> Verdict:
        """
        SEAL: Mathematically sound, physically realizable
        SABAR: Needs refinement, structure unclear
        VOID: Violates physical law (impossible)
        """
        if not self.physics_possible:
            return Verdict.VOID  # Violates physical law
        if not self.math_sound or not self.symbol_valid:
            return Verdict.SABAR  # Needs work
        return Verdict.SEAL

    def as_dict(self) -> Dict[str, Any]:
        return {
            "trinity": "I_STRUCTURAL",
            "physics": {"possible": self.physics_possible, "reason": self.physics_reason},
            "math": {"sound": self.math_sound, "reason": self.math_reason},
            "symbol": {"valid": self.symbol_valid, "reason": self.symbol_reason},
            "verdict": self.evaluate().value
        }


# =============================================================================
# TRINITY II: GOVERNANCE (Human × AI × Institution × Earth)
# =============================================================================

@dataclass
class TrinityGovernance:
    """
    Trinity II: Socio-Technical Governance

    Purpose: "Is it PERMITTED?"
    Generates: Social knowledge (governance, ethics, law)
    """
    # Human witness (has scar-weight, can suffer)
    human_witness: float = 1.0  # 0-1
    human_veto: bool = False

    # AI witness (W_scar = 0, cannot suffer)
    ai_witness: float = 1.0
    ai_veto: bool = False

    # Institution witness (policies, rules)
    institution_witness: float = 1.0
    institution_veto: bool = False

    # Earth system witness (planetary bounds)
    earth_witness: float = 1.0
    earth_veto: bool = False

    @property
    def tri_witness(self) -> float:
        """TW(τ) = (H × I × E)^(1/3) ≥ 0.95 for SEAL."""
        # Use geometric mean of Human × AI × Earth
        return (self.human_witness * self.ai_witness * self.earth_witness) ** (1/3)

    def evaluate(self) -> Verdict:
        """
        SEAL: TW ≥ 0.95 (consensus)
        SABAR: TW < 0.95 (partial consensus)
        VOID: Any witness VETO
        """
        if any([self.human_veto, self.ai_veto, self.institution_veto, self.earth_veto]):
            return Verdict.VOID  # Constitutional violation
        if self.tri_witness >= 0.95:
            return Verdict.SEAL
        return Verdict.SABAR

    def as_dict(self) -> Dict[str, Any]:
        return {
            "trinity": "II_GOVERNANCE",
            "human": {"witness": self.human_witness, "veto": self.human_veto},
            "ai": {"witness": self.ai_witness, "veto": self.ai_veto},
            "institution": {"witness": self.institution_witness, "veto": self.institution_veto},
            "earth": {"witness": self.earth_witness, "veto": self.earth_veto},
            "tri_witness": self.tri_witness,
            "verdict": self.evaluate().value
        }


# =============================================================================
# TRINITY III: CONSTRAINT (Time × Energy × Space)
# =============================================================================

@dataclass
class TrinityConstraint:
    """
    Trinity III: Spatiotemporal Constraints

    Purpose: "Is it SUSTAINABLE?"
    Generates: Operational knowledge (engineering, design)
    """
    # Time: Sequencing and causality
    time_available: float = 1.0  # Budget
    time_consumed: float = 0.0

    # Energy: Work capacity (Landauer limit: k_B T ln 2 per bit)
    energy_budget: float = 1.0
    energy_consumed: float = 0.0

    # Space: Configuration and topology
    space_available: float = 1.0
    space_used: float = 0.0

    # Entropy change (critical metric)
    delta_S: float = 0.0  # Must be ≤ 0 for SEAL

    @property
    def efficiency(self) -> float:
        """Clarity per energy unit: |ΔS| / E."""
        if self.delta_S >= 0 or self.energy_consumed <= 0:
            return 0.0
        return abs(self.delta_S) / self.energy_consumed

    def evaluate(self) -> Verdict:
        """
        SEAL: ΔS ≤ 0 (entropy reduced, clarity achieved)
        SABAR: ΔS ≈ 0 (no change, needs work)
        VOID: ΔS >> 0 (entropy explosion, harmful)
        """
        if self.delta_S > 0.5:  # Significant entropy increase
            return Verdict.VOID  # Harmful
        if self.delta_S <= 0:
            return Verdict.SEAL  # Clarity achieved
        return Verdict.SABAR  # Needs refinement

    def as_dict(self) -> Dict[str, Any]:
        return {
            "trinity": "III_CONSTRAINT",
            "time": {"available": self.time_available, "consumed": self.time_consumed},
            "energy": {"budget": self.energy_budget, "consumed": self.energy_consumed},
            "space": {"available": self.space_available, "used": self.space_used},
            "delta_S": self.delta_S,
            "efficiency": self.efficiency,
            "verdict": self.evaluate().value
        }


# =============================================================================
# THREE TRINITIES CONVERGENCE
# =============================================================================

@dataclass
class ThreeTrinities:
    """
    Complete epistemological framework convergence.

    All three trinities must converge for SEAL.
    Any single VOID triggers VOID.
    Otherwise SABAR.
    """
    structural: TrinityStructural = field(default_factory=TrinityStructural)
    governance: TrinityGovernance = field(default_factory=TrinityGovernance)
    constraint: TrinityConstraint = field(default_factory=TrinityConstraint)

    # VOID justification (required for VOID verdict)
    void_justification: str = ""
    void_floor: str = ""  # F1-F13
    void_evidence: str = ""

    def wants_to_void(self) -> bool:
        """Check if any trinity explicitly requests VOID."""
        return any([
            self.structural.evaluate() == Verdict.VOID,
            self.governance.evaluate() == Verdict.VOID,
            self.constraint.evaluate() == Verdict.VOID
        ])

    def all_trinities_approve(self) -> bool:
        """SEAL requires unanimous SEAL across all trinities."""
        return all([
            self.structural.evaluate() == Verdict.SEAL,
            self.governance.evaluate() == Verdict.SEAL,
            self.constraint.evaluate() == Verdict.SEAL
        ])

    def has_void_justification(self) -> bool:
        """VOID requires justification (Anti-Bangang Protocol)."""
        return bool(self.void_justification and self.void_floor and self.void_evidence)

    def evaluate(self) -> Verdict:
        """
        Anomalous Contrast convergence:
        - Any explicit VOID *with valid justification* → VOID
        - All SEAL → SEAL
        - Otherwise → SABAR (refine and retry)
        """
        if self.wants_to_void():
            if self.has_void_justification():
                return Verdict.VOID
            # Cannot VOID without reason → SABAR instead (Anti-Bangang)
            return Verdict.SABAR

        if self.all_trinities_approve():
            return Verdict.SEAL

        return Verdict.SABAR

    def as_dict(self) -> Dict[str, Any]:
        return {
            "structural": self.structural.as_dict(),
            "governance": self.governance.as_dict(),
            "constraint": self.constraint.as_dict(),
            "final_verdict": self.evaluate().value,
            "void_justification": {
                "has_justification": self.has_void_justification(),
                "floor": self.void_floor,
                "reason": self.void_justification,
                "evidence": self.void_evidence
            }
        }


# =============================================================================
# THERMODYNAMIC SIGNATURE (TPCP Integration)
# =============================================================================

@dataclass
class ThermodynamicSignature:
    """
    Every action carries a thermodynamic signature.

    Crown metric: Φ_P = (∫_0^τ ΨP dt) / (ΔP × Ω₀)
    Must be ≥ 1.0 for SEAL.
    """
    # Energy components
    E_reasoning: float = 0.0    # AGI/ASI/APEX energy
    E_cooling: float = 0.0      # Phoenix-72 cooling
    E_consensus: float = 0.0    # Tri-witness coordination

    # Entropy
    dS: float = 0.0             # Entropy change

    # TPCP metrics
    psi_P: float = 0.0          # Paradox resolution capacity
    delta_P: float = 0.0        # Paradox magnitude
    omega_0: float = 0.04       # Humility band [0.03, 0.05]
    tau: float = 0.0            # Time elapsed

    @property
    def total_energy(self) -> float:
        return self.E_reasoning + self.E_cooling + self.E_consensus

    @property
    def efficiency(self) -> float:
        """Clarity per energy unit."""
        if self.dS >= 0:
            return 0  # No clarity gained
        if self.total_energy <= 0:
            return 0  # Avoid division by zero
        return abs(self.dS) / self.total_energy

    @property
    def phi_P(self) -> float:
        """
        Crown metric: Φ_P = (∫_0^τ ΨP dt) / (ΔP × Ω₀)
        Simplified: (ψP × τ) / (ΔP × Ω₀)
        """
        denominator = self.delta_P * self.omega_0
        if denominator <= 0:
            return 1.0  # No paradox, default pass
        return (self.psi_P * self.tau) / denominator

    def seal_worthy(self) -> bool:
        """SEAL requires Φ_P ≥ 1.0 and ΔS ≤ 0."""
        return self.phi_P >= 1.0 and self.dS <= 0

    def as_dict(self) -> Dict[str, Any]:
        return {
            "energy": {
                "reasoning": self.E_reasoning,
                "cooling": self.E_cooling,
                "consensus": self.E_consensus,
                "total": self.total_energy
            },
            "entropy": {
                "dS": self.dS,
                "efficiency": self.efficiency
            },
            "tpcp": {
                "psi_P": self.psi_P,
                "delta_P": self.delta_P,
                "omega_0": self.omega_0,
                "tau": self.tau,
                "phi_P": self.phi_P
            },
            "seal_worthy": self.seal_worthy()
        }


# =============================================================================
# EXPORTS
# =============================================================================

__all__ = [
    # Verdict
    "Verdict",
    "VerdictEnergy",
    # Trinities
    "TrinityStructural",
    "TrinityGovernance",
    "TrinityConstraint",
    "ThreeTrinities",
    # Thermodynamics
    "ThermodynamicSignature",
]
