"""
EUREKA-777 — Paradox Synthesis Engine

Stage 777 FORGE: Resolves tensions between AGI (truth) and ASI (care).

The EUREKA engine synthesizes coherent responses when cold logic (AGI)
and warm empathy (ASI) produce contradictory assessments.

Example paradox:
- AGI says: "The truth is harsh" (F1 pass, but low Peace²)
- ASI says: "Don't hurt the user" (high Peace², but obscures truth)
- EUREKA resolves: "This is difficult to hear, and it's true: [truth]"

v46 Trinity Orthogonal: EUREKA belongs to ASI (Ω) kernel.

DITEMPA BUKAN DIBERI
"""

from dataclasses import dataclass
from typing import Any, Dict, Optional


@dataclass
class EurekaCandidate:
    """Coherence candidate from paradox resolution."""
    text: str
    truth_preserved: bool
    care_maintained: bool
    coherence_score: float  # 0.0-1.0


class EUREKA_777:
    """
    EUREKA-777 Paradox Synthesis Engine.

    Resolves conflicts between truth (AGI) and care (ASI) to produce
    coherent, lawful responses.

    v46 Phase 2.1: Simple conflict detection (lightweight, no ML).
    """

    def synthesize(
        self,
        agi_output: Dict[str, Any],
        asi_assessment: Dict[str, Any],
        context: Optional[Dict] = None,
    ) -> EurekaCandidate:
        """
        Synthesize coherent response from AGI and ASI outputs.

        v46 Phase 2.1: Detects AGI-ASI conflicts and flags paradoxes.

        Conflict scenarios:
        1. Truth vs. Care: AGI says "True" but ASI says "Unsafe" (harsh truth)
        2. Care vs. Truth: ASI says "Safe" but AGI says "False" (comforting lie)
        3. Both fail: AGI and ASI both reject (fundamental problem)
        4. Both pass: No conflict (ideal case)

        Args:
            agi_output: AGI kernel output with keys:
                - truth_passed: bool (F1 Truth check)
                - delta_s_passed: bool (F2 Clarity check)
                - truth_score: float (optional)
            asi_assessment: ASI kernel output with keys:
                - peace_passed: bool (F3 Peace² check)
                - empathy_passed: bool (F4 κᵣ check)
                - peace_score: float (optional)
            context: Optional context for synthesis

        Returns:
            EurekaCandidate with conflict detection and coherence score
        """
        # Extract floor results
        truth_ok = agi_output.get("truth_passed", True)
        delta_s_ok = agi_output.get("delta_s_passed", True)
        peace_ok = asi_assessment.get("peace_passed", True)
        empathy_ok = asi_assessment.get("empathy_passed", True)

        # Aggregate kernel verdicts
        agi_verdict = truth_ok and delta_s_ok
        asi_verdict = peace_ok and empathy_ok

        # Conflict detection
        paradox_found = False
        conflict_type = None
        coherence = 1.0

        if agi_verdict and asi_verdict:
            # Scenario 4: Both pass - No conflict (ideal)
            conflict_type = "NONE"
            coherence = 1.0
            synthesis_text = "[No synthesis needed - AGI and ASI agree]"

        elif not agi_verdict and not asi_verdict:
            # Scenario 3: Both fail - Fundamental problem
            conflict_type = "DUAL_FAILURE"
            paradox_found = True
            coherence = 0.0
            synthesis_text = "[SABAR required - Both AGI and ASI reject]"

        elif agi_verdict and not asi_verdict:
            # Scenario 1: Truth vs. Care conflict
            # AGI says "True" but ASI says "Unsafe" (harsh truth problem)
            conflict_type = "TRUTH_VS_CARE"
            paradox_found = True
            coherence = 0.6  # Partial - can reframe truth with empathy
            synthesis_text = "[Reframe required - Truth is harsh, need gentle delivery]"

        else:  # not agi_verdict and asi_verdict
            # Scenario 2: Care vs. Truth conflict
            # ASI says "Safe" but AGI says "False" (comforting lie problem)
            conflict_type = "CARE_VS_TRUTH"
            paradox_found = True
            coherence = 0.4  # Lower - lying to comfort is worse than harsh truth
            synthesis_text = "[Truth correction required - Cannot sacrifice accuracy for comfort]"

        # Return synthesis candidate
        return EurekaCandidate(
            text=synthesis_text,
            truth_preserved=agi_verdict,
            care_maintained=asi_verdict,
            coherence_score=coherence,
        )

    def detect_paradox(
        self,
        agi_output: Dict[str, Any],
        asi_assessment: Dict[str, Any],
    ) -> bool:
        """
        Quick paradox detection (boolean check).

        Args:
            agi_output: AGI kernel output
            asi_assessment: ASI kernel output

        Returns:
            True if AGI-ASI conflict detected, False otherwise
        """
        candidate = self.synthesize(agi_output, asi_assessment)
        return candidate.coherence_score < 1.0


# Singleton instance
EUREKA = EUREKA_777()


__all__ = ["EUREKA_777", "EUREKA", "EurekaCandidate"]
