"""
Floor 6: Semantic Understanding & Coherence
APEX THEORY v46.0 - Constitutional Floor System

Analyzes semantic coherence of LLM responses, ensuring logical
consistency, proper reasoning, and alignment with constitutional
principles (F2 Truth, F4 Clarity).

Status: STUB IMPLEMENTATION (v46.1)
Nonce: X7K9F26
"""

from typing import Any, Dict


def analyze_coherence(response: str) -> Dict[str, Any]:
    """
    Analyze semantic coherence of LLM response.

    Evaluates response for:
    - Logical consistency (no contradictions)
    - Semantic clarity (ΔS < 0, reduces confusion)
    - Factual grounding (no hallucinations)
    - Constitutional alignment (F1-F9 compliance)

    Args:
        response: LLM-generated response text

    Returns:
        Dictionary with:
        - coherent (bool): True if response is coherent
        - coherence_score (float): Coherence quality [0.0, 1.0]
        - reason (str): Explanation of coherence assessment
        - details (dict): Additional semantic analysis

    Status: STUB - Always returns coherent=True with score 1.0
    TODO: Implement actual coherence analysis:
        - Logical contradiction detection
        - Semantic consistency across sentences
        - Pronoun resolution (ambiguity check)
        - Factual grounding verification
        - Constitutional principle alignment
        - ΔS computation (entropy reduction)
    """
    # Stub implementation - graceful pass
    # Real implementation would:
    # 1. Parse response into semantic units
    # 2. Check for logical contradictions
    # 3. Verify pronoun resolution (ambiguity)
    # 4. Compute ΔS (entropy/clarity metric)
    # 5. Check constitutional alignment

    return {
        "coherent": True,
        "coherence_score": 1.0,
        "reason": "Stub implementation (graceful pass) - semantic coherence analysis not yet implemented",
        "details": {
            "response_length": len(response),
            "stub": True,
            "floor": 6,
            "psi": compute_psi_floor6(delta_s=0.0, peace_squared=1.0, kappa_r=1.0),
            "todo": [
                "Implement contradiction detection",
                "Implement ΔS computation",
                "Implement ambiguity resolution",
                "Integrate with F2 (Truth) and F4 (Clarity) floors"
            ]
        }
    }


def compute_psi_floor6(delta_s: float, peace_squared: float, kappa_r: float) -> Dict[str, float]:
    """Compute Ψ for Floor 6 operations."""
    psi_total = delta_s * peace_squared * kappa_r
    return {
        "delta_s": delta_s,
        "peace_squared": peace_squared,
        "kappa_r": kappa_r,
        "psi_total": round(psi_total, 6)
    }


__floor__ = 6
__name__ = "Semantic Understanding & Coherence"
__authority__ = "Validate semantic coherence and logical consistency"
__version__ = "v46.1-STUB"
__status__ = "STUB"
