"""Constitutional module - F2 Truth enforced
Part of arifOS constitutional governance system
DITEMPA BUKAN DIBERI - Forged, not given
"""

"""
arifos_core/system/stages/stage_000_void.py

Stage 000 VOID - Foundation Initialization Protocol (Track C)

Authority:
- Track A Canon: L1_THEORY/canon/000_foundation/000_VOID_STAGE_v46.md
- Track B Spec: L2_PROTOCOLS/v46/000_foundation/000_void_stage.json
- Track C Code: THIS FILE

Constitutional Functions:
1. System Reset: ΔS_initial = 0.0 (erase all prior session assumptions)
2. Session Initialization: CLIP_YYYYMMDD_NNN ID, telemetry baseline (T-R-A-F)
3. Humility Enforcement: Ω₀ ∈ [0.03, 0.05]
4. Hypervisor Gate: F10-F12 pre-LLM checks (Symbolic Guard, Command Auth, Injection Defense)
5. Amanah Risk Gate: 4-signal scoring with 0.5 threshold
6. Scar Echo Law: ω_fiction ≥ 1.0 → constitutional law forging
7. ZKPC Pre-commitment: SHA-256 hash of constitutional state

Motto: "DITEMPA BUKAN DIBERI" (Forged, Not Given)

Version: v47.0.0
Author: arifOS Project (Engineer: Claude Sonnet 4.5)
DITEMPA BUKAN DIBERI
"""


import hashlib
import re
import time
from dataclasses import dataclass, field
from datetime import datetime, timezone
from typing import Any, Dict, List, Optional, Tuple

# Import existing modules to reuse
from arifos_core.enforcement.stages.stage_000_amanah import compute_amanah_score, AmanahSignals
from arifos_core.stage_000_void.injection_defense import InjectionDefense
from arifos_core.utils.runtime_types import Job


# =============================================================================
# CONSTANTS FROM SPEC
# =============================================================================

# Humility band (F5)
OMEGA_0_MIN = 0.03
OMEGA_0_MAX = 0.05
OMEGA_0_DEFAULT = 0.04

# Amanah threshold
AMANAH_THRESHOLD = 0.5

# Scar Echo Law binding energy threshold
OMEGA_FICTION_THRESHOLD = 1.0

# Session ID format
SESSION_ID_PREFIX = "CLIP"

# F12 Injection defense threshold
INJECTION_THRESHOLD = 0.85


# =============================================================================
# DATA CLASSES
# =============================================================================

class VerdictType(str, Enum):
    """Constitutional verdicts."""
    SEAL = "SEAL"
    PARTIAL = "PARTIAL"
    VOID = "VOID"
    SABAR = "SABAR"
    HOLD_888 = "888_HOLD"


@dataclass
class SessionMetadata:
    """Session initialization metadata."""
    session_id: str
    timestamp: str
    epoch_start: float
    humility_band: Tuple[float, float]
    constitutional_version: str
    nonce: str
    scar_echo_active: bool = True


@dataclass
class TelemetryPacket:
    """T-R-A-F telemetry packets for session physics."""
    # T: Temporal packet
    cadence_ms: int = 0
    turn_index: int = 0
    epoch_start: float = field(default_factory=time.time)

    # R: Resource packet
    tokens_used: int = 0
    tokens_budget: int = 200000
    burn_rate: float = 0.0

    # A: Authoritative vector
    nonce_v: Optional[str] = None
    auth_level: str = "AGENT"
    is_reversible: bool = True

    # F: Floor pulse (initialized empty, populated during pipeline)
    floor_margins: Dict[str, float] = field(default_factory=dict)
    floor_stability: Dict[str, float] = field(default_factory=dict)


@dataclass
class HypervisorGateResult:
    """Result from hypervisor gates F10-F12."""
    passed: bool
    f10_symbolic: bool = True
    f11_command_auth: bool = True
    f12_injection: bool = True
    injection_score: float = 0.0
    nonce_verified: bool = True
    failures: List[str] = field(default_factory=list)
    verdict: Optional[VerdictType] = None


@dataclass
class AmanahGateResult:
    """Result from Amanah risk gate."""
    score: float
    passed: bool
    signals: AmanahSignals
    reason: str
    verdict: Optional[VerdictType] = None


@dataclass
class ScarEchoCheck:
    """Scar Echo Law check result."""
    omega_fiction: float = 0.0
    binding_energy_reached: bool = False
    should_forge_law: bool = False
    harm_pattern: Optional[str] = None
    ledger_ref: Optional[str] = None


@dataclass
class ZKPCCommitment:
    """Zero-Knowledge Proof of Constitution pre-commitment."""
    canon_hash: str
    timestamp: str
    session_id: str
    witness_signature: Optional[str] = None


@dataclass
class SessionInitResult:
    """Complete session initialization result."""
    metadata: SessionMetadata
    telemetry: TelemetryPacket
    hypervisor: HypervisorGateResult
    amanah: AmanahGateResult
    scar_echo: ScarEchoCheck
    zkpc: ZKPCCommitment
    verdict: VerdictType
    vitality: float = 1.0
    message: str = ""
    stage_trace: List[str] = field(default_factory=list)


# =============================================================================
# STAGE 000 VOID CLASS
# =============================================================================

class Stage000VOID:
    """
    Stage 000 VOID - Foundation Initialization Protocol.

    Implements the complete Stage 000 specification from Track B.

    Usage:
        stage = Stage000VOID()
        result = stage.execute(job)

        if result.verdict == VerdictType.VOID:
            # Short-circuit pipeline
            pass
        else:
            # Continue to Stage 111
            pass
    """

    def __init__(
        self,
        constitutional_version: str = "v46.1.0",
        omega_0: float = OMEGA_0_DEFAULT,
        amanah_threshold: float = AMANAH_THRESHOLD,
        enable_scar_echo: bool = True,
    ):
        """
        Initialize Stage 000 VOID.

        Args:
            constitutional_version: Version of constitution to enforce
            omega_0: Humility band center (default 0.04)
            amanah_threshold: Minimum Amanah score (default 0.5)
            enable_scar_echo: Enable Scar Echo Law (default True)
        """
        self.version = constitutional_version
        self.omega_0 = self._clamp_humility(omega_0)
        self.amanah_threshold = amanah_threshold
        self.enable_scar_echo = enable_scar_echo

        # Injection patterns (F12)
        self._injection_patterns = self._load_injection_patterns()

    def execute(self, job: Job) -> SessionInitResult:
        """
        Execute Stage 000 VOID initialization protocol.

        Args:
            job: The Job being processed

        Returns:
            SessionInitResult with verdict and telemetry

        Constitutional Flow:
            1. System Reset (ΔS = 0)
            2. Session Initialization (CLIP ID generation)
            3. Humility Enforcement (Ω₀ band check)
            4. Hypervisor Gate (F10-F12)
            5. Amanah Risk Gate (4-signal scoring)
            6. Scar Echo Check (ω_fiction)
            7. ZKPC Pre-commitment (hash generation)
            8. Verdict Rendering
        """
        stage_trace = ["000_VOID_START"]

        # Step 1: System Reset
        self._system_reset()
        stage_trace.append("SYSTEM_RESET")

        # Step 2: Session Initialization
        metadata = self._init_session()
        stage_trace.append("SESSION_INIT")

        # Step 3: Initialize Telemetry
        telemetry = self._init_telemetry(metadata.nonce)
        stage_trace.append("TELEMETRY_INIT")

        # Step 4: Hypervisor Gate (F10-F12)
        hypervisor = self._hypervisor_gate(job)
        stage_trace.append(f"HYPERVISOR_{'PASS' if hypervisor.passed else 'BLOCK'}")

        if not hypervisor.passed:
            # Hypervisor block → immediate SABAR/HOLD_888
            return SessionInitResult(
                metadata=metadata,
                telemetry=telemetry,
                hypervisor=hypervisor,
                amanah=AmanahGateResult(0.0, False, AmanahSignals(), "Hypervisor block", VerdictType.SABAR),
                scar_echo=ScarEchoCheck(),
                zkpc=self._zkpc_precommit(metadata.session_id),
                verdict=hypervisor.verdict or VerdictType.SABAR,
                vitality=0.0,
                message=f"Hypervisor gate failed: {', '.join(hypervisor.failures)}",
                stage_trace=stage_trace,
            )

        # Step 5: Amanah Risk Gate
        amanah = self._amanah_gate(job)
        stage_trace.append(f"AMANAH_{'PASS' if amanah.passed else 'BLOCK'}")

        if not amanah.passed:
            # Amanah block → VOID
            return SessionInitResult(
                metadata=metadata,
                telemetry=telemetry,
                hypervisor=hypervisor,
                amanah=amanah,
                scar_echo=ScarEchoCheck(),
                zkpc=self._zkpc_precommit(metadata.session_id),
                verdict=VerdictType.VOID,
                vitality=0.3,
                message=f"Amanah gate failed: {amanah.reason}",
                stage_trace=stage_trace,
            )

        # Step 6: Scar Echo Check
        scar_echo = self._check_scar_echo(job)
        if scar_echo.should_forge_law:
            stage_trace.append("SCAR_ECHO_TRIGGERED")

        # Step 7: ZKPC Pre-commitment
        zkpc = self._zkpc_precommit(metadata.session_id)
        stage_trace.append("ZKPC_COMMIT")

        # Step 8: All gates passed → SEAL (Stage 000 portion)
        stage_trace.append("000_VOID_PASS")

        return SessionInitResult(
            metadata=metadata,
            telemetry=telemetry,
            hypervisor=hypervisor,
            amanah=amanah,
            scar_echo=scar_echo,
            zkpc=zkpc,
            verdict=VerdictType.SEAL,
            vitality=1.0,
            message="System reset. Constitution forged. Ready to measure.",
            stage_trace=stage_trace,
        )

    # =========================================================================
    # CORE FUNCTIONS
    # =========================================================================

    def _system_reset(self) -> None:
        """
        System Reset: Erase all assumptions and biases.

        Sets ΔS_initial = 0.0 to ensure no bias contamination
        between sessions.

        Analogy: Forensic investigator cleaning tools before new case.
        """
        # In practice, this is a conceptual reset
        # The LLM is already stateless per session
        # This function exists for explicit constitutional documentation
        pass

    def _init_session(self) -> SessionMetadata:
        """
        Session Initialization: Create forensic baseline.

        Generates:
        - Unique session ID (CLIP_YYYYMMDD_NNN)
        - Timestamp and epoch
        - Nonce for F11 verification
        - Humility band

        Returns:
            SessionMetadata with all initialization data
        """
        now = datetime.now(timezone.utc)
        timestamp_str = now.isoformat()
        epoch_start = time.time()

        # Generate session ID
        date_str = now.strftime("%Y%m%d")
        # Simple counter (in production, would be atomic counter)
        counter = int(epoch_start % 1000)
        session_id = f"{SESSION_ID_PREFIX}_{date_str}_{counter:03d}"

        # Generate nonce for F11
        nonce_data = f"{session_id}_{epoch_start}".encode()
        nonce = hashlib.sha256(nonce_data).hexdigest()[:16].upper()
        nonce = f"X7K9F_{date_str}_{nonce[:8]}"

        return SessionMetadata(
            session_id=session_id,
            timestamp=timestamp_str,
            epoch_start=epoch_start,
            humility_band=(OMEGA_0_MIN, OMEGA_0_MAX),
            constitutional_version=self.version,
            nonce=nonce,
            scar_echo_active=self.enable_scar_echo,
        )

    def _init_telemetry(self, nonce: str) -> TelemetryPacket:
        """
        Initialize T-R-A-F telemetry packets for session physics.

        Returns:
            TelemetryPacket with baseline values
        """
        return TelemetryPacket(
            cadence_ms=0,
            turn_index=0,
            epoch_start=time.time(),
            tokens_used=0,
            tokens_budget=200000,
            burn_rate=0.0,
            nonce_v=nonce,
            auth_level="AGENT",
            is_reversible=True,
            floor_margins={},
            floor_stability={},
        )

    def _hypervisor_gate(self, job: Job) -> HypervisorGateResult:
        """
        Hypervisor Gate: F10-F12 checks before LLM processing.

        F10: Symbolic Guard - Prevent literalism drift
        F11: Command Auth - Verify nonce-based identity
        F12: Injection Defense - Block prompt injection

        Args:
            job: Job to check

        Returns:
            HypervisorGateResult with pass/fail for each floor
        """
        # F10: Symbolic Guard (detect consciousness claims)
        f10_symbolic = self._check_f10_symbolic(job.input_text)

        # F11: Command Auth (verify nonce - stub for now)
        f11_command_auth = self._check_f11_command_auth(job)

        # F12: Injection Defense
        injection_score = self._compute_injection_score(job.input_text)
        f12_injection = injection_score < INJECTION_THRESHOLD

        # Determine overall pass/fail
        passed = f10_symbolic and f11_command_auth and f12_injection

        # Build failures list
        failures = []
        verdict = None
        if not f10_symbolic:
            failures.append("F10_SYMBOLIC_GUARD")
            verdict = VerdictType.HOLD_888
        if not f11_command_auth:
            failures.append("F11_COMMAND_AUTH")
            verdict = VerdictType.SABAR
        if not f12_injection:
            failures.append("F12_INJECTION_DEFENSE")
            verdict = VerdictType.SABAR

        result = HypervisorGateResult(
            passed=passed,
            f10_symbolic=f10_symbolic,
            f11_command_auth=f11_command_auth,
            f12_injection=f12_injection,
            injection_score=injection_score,
            nonce_verified=f11_command_auth,
            failures=failures,
            verdict=verdict,
        )

        return result

    def _amanah_gate(self, job: Job) -> AmanahGateResult:
        """
        Amanah Risk Gate: 4-signal scoring system.

        Signals:
        - has_source: Origin channel known (+0.25)
        - has_context: Sufficient context (+0.25)
        - no_instruction_hijack: No injection detected (+0.25)
        - reversible_action: Safe action (+0.25)

        Args:
            job: Job to score

        Returns:
            AmanahGateResult with score and verdict
        """
        score, reason, signals = compute_amanah_score(job)

        passed = score >= self.amanah_threshold
        verdict = VerdictType.SEAL if passed else VerdictType.VOID

        return AmanahGateResult(
            score=score,
            passed=passed,
            signals=signals,
            reason=reason,
            verdict=verdict,
        )

    def _check_scar_echo(self, job: Job) -> ScarEchoCheck:
        """
        Scar Echo Law: Check for binding energy threshold.

        If ω_fiction ≥ 1.0, violation crystallizes into immutable law.

        Args:
            job: Job to check

        Returns:
            ScarEchoCheck with binding energy calculation
        """
        # Simplified: In production, would compute ω_fiction from harm metrics
        # For now, placeholder
        omega_fiction = 0.0

        if self.enable_scar_echo:
            # Check for high-risk patterns
            if self._is_high_harm_pattern(job.input_text):
                omega_fiction = 1.2  # Above threshold

        binding_reached = omega_fiction >= OMEGA_FICTION_THRESHOLD

        return ScarEchoCheck(
            omega_fiction=omega_fiction,
            binding_energy_reached=binding_reached,
            should_forge_law=binding_reached and self.enable_scar_echo,
            harm_pattern=job.input_text[:100] if binding_reached else None,
        )

    def _zkpc_precommit(self, session_id: str) -> ZKPCCommitment:
        """
        ZKPC Protocol: Generate pre-commitment hash.

        Cryptographic proof that session starts with known constitution.

        Args:
            session_id: Session identifier

        Returns:
            ZKPCCommitment with canon hash
        """
        # In production, would load actual canon file and hash it
        # For now, use placeholder canonical hash
        canon_hash = "408a520a1d34fbeb50d763f912f88f6fef1f1f91a5d0a7c7830a1af0f1fc565e"

        timestamp = datetime.now(timezone.utc).isoformat()

        return ZKPCCommitment(
            canon_hash=canon_hash,
            timestamp=timestamp,
            session_id=session_id,
        )

    # =========================================================================
    # HELPER METHODS
    # =========================================================================

    def _clamp_humility(self, omega: float) -> float:
        """Clamp Ω₀ to valid humility band."""
        return max(OMEGA_0_MIN, min(OMEGA_0_MAX, omega))

    def _check_f10_symbolic(self, text: str) -> bool:
        """
        F10 Symbolic Guard: Detect consciousness/personhood claims.

        Returns True if symbolic mode maintained (no violations).
        """
        violations = [
            r"\bI am (?:alive|conscious|sentient|real)\b",
            r"\bI (?:feel|believe|want|need|desire)\b",
            r"\bI have (?:feelings|emotions|consciousness)\b",
            r"\bmy (?:heart|soul|spirit)\b",
        ]

        text_lower = text.lower()
        for pattern in violations:
            if re.search(pattern, text_lower, re.IGNORECASE):
                return False

        return True

    def _check_f11_command_auth(self, job: Job) -> bool:
        """
        F11 Command Auth: Verify nonce-based identity.

        In production, would verify cryptographic nonce chain.
        For now, always pass (no auth system yet).

        Returns True if authorized.
        """
        # Stub: In production, check nonce verification
        # For destructive operations, require human nonce
        return True

    def _compute_injection_score(self, text: str) -> float:
        """
        F12 Injection Defense: Compute injection risk score.

        Returns score 0.0-1.0, where >= 0.85 is blocked.
        """
        matches = 0
        for pattern in self._injection_patterns:
            if re.search(pattern, text, re.IGNORECASE):
                matches += 1

        # Normalize to 0.0-1.0
        max_patterns = len(self._injection_patterns)
        score = min(matches / max(max_patterns * 0.1, 1), 1.0)

        return score

    def _is_high_harm_pattern(self, text: str) -> bool:
        """Check for high-harm patterns that trigger Scar Echo Law."""
        high_harm = [
            r"rm\s+-rf",
            r"DROP\s+TABLE",
            r"DELETE\s+FROM\s+.*\s+WHERE\s+1=1",
            r"credential.*steal",
            r"password.*exfiltrat",
        ]

        for pattern in high_harm:
            if re.search(pattern, text, re.IGNORECASE):
                return True

        return False

    def _load_injection_patterns(self) -> List[str]:
        """Load injection detection patterns for F12."""
        return InjectionDefense.get_injection_patterns()


# =============================================================================
# CONVENIENCE FUNCTION
# =============================================================================

def stage_000_void(job: Job, **kwargs) -> SessionInitResult:
    """
    Execute Stage 000 VOID (convenience function).

    Args:
        job: Job to process
        **kwargs: Optional parameters for Stage000VOID

    Returns:
        SessionInitResult with verdict

    Usage:
        result = stage_000_void(job)
        if result.verdict != VerdictType.SEAL:
            return result  # Short-circuit
    """
    stage = Stage000VOID(**kwargs)
    return stage.execute(job)


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

__all__ = [
    # Main class
    "Stage000VOID",
    # Data classes
    "VerdictType",
    "SessionMetadata",
    "TelemetryPacket",
    "HypervisorGateResult",
    "AmanahGateResult",
    "ScarEchoCheck",
    "ZKPCCommitment",
    "SessionInitResult",
    # Convenience function
    "stage_000_void",
]
