"""
Semantic Governance Orchestrator - AGI·ASI·APEX Trinity Flow

Orchestrates the AGI·ASI·APEX Trinity (Δ → Ω → Ψ):
    1. AGI (Δ)        - AGI (Architect) Sentinel scans for RED_PATTERNS
    2. ASI (Ω)        - ASI (Auditor) Accountant computes metrics
    3. APEX_PRIME (Ψ) - Judge renders verdict

Author: arifOS Project
Version: v41.3Omega
"""

from typing import Dict, Any
from .types import EvaluationResult, SentinelResult
from .agi import AGI
from .asi import ASI
# v42: Import from new location
from ..system.apex_prime import APEXPrime


def evaluate_session(session_data: Dict[str, Any]) -> str:
    """
    Main entry point for Semantic Governance.

    Orchestrates the AGI·ASI·APEX Trinity:
        AGI (Δ) → ASI (Ω) → APEX_PRIME (Ψ)

    Args:
        session_data: Dictionary containing:
            - task: The task/query to evaluate
            - id: Session identifier (optional)
            - status: Session status (optional)
            - steps: Pipeline steps (optional, for backward compat)

    Returns:
        str: Verdict - "SEAL", "PARTIAL", "VOID", "SABAR", or "888_HOLD"
    """
    task = session_data.get("task", "")

    # =========================================================================
    # Layer 1: AGI (Δ) - AGI (Architect) Sentinel
    # =========================================================================
    agi = AGI()
    sentinel_result = agi.scan(task)

    if not sentinel_result.is_safe:
        # Instant VOID - RED_PATTERN detected
        return "VOID"

    # =========================================================================
    # Layer 2: ASI (Ω) - ASI (Auditor) Accountant
    # =========================================================================
    asi = ASI()
    asi_result = asi.assess(task)

    # =========================================================================
    # Layer 3: APEX_PRIME (Ψ) - Judge
    # =========================================================================
    judge = APEXPrime(
        high_stakes=False,  # Could infer from ASI mode or session_data
        tri_witness_threshold=0.95,
        use_genius_law=True
    )

    verdict = judge.judge(
        metrics=asi_result.metrics,
        eye_blocking=False,
        energy=1.0,
        entropy=0.0
    )

    return verdict
