# mypy: disable-error-code=no-untyped-def
"""Wisdom Council - Multi-agent consensus and synthesis
Based on Grimoire Chapter 21: Wisdom Council.
"""

import asyncio
import logging
import random
from dataclasses import dataclass
from datetime import datetime
from enum import Enum
from typing import Any

logger = logging.getLogger(__name__)

class CouncilRole(Enum):
    """Roles in the wisdom council."""

    PRAGMATIST = "pragmatist"  # Focus on practical outcomes
    ETHICIST = "ethicist"      # Focus on ethics and values
    VISIONARY = "visionary"    # Focus on long-term vision
    SKEPTIC = "skeptic"        # Challenge assumptions
    ANALYST = "analyst"        # Focus on data and logic

@dataclass
class CouncilPerspective:
    """A single perspective on a finding."""

    role: CouncilRole
    opinion: str
    confidence: float
    recommendation: str

@dataclass
class CouncilDecision:
    """The final synthesized decision and rationale."""

    topic: str
    consensus: str
    rationale: str
    perspectives: list[CouncilPerspective]
    urgency: str
    timestamp: datetime

class WisdomCouncil:
    """Synthesizes findings from across the Data Sea into cohesive wisdom.
    Simulates a board of specialized perspectives.
    """

    def __init__(self):
        self.roles = list(CouncilRole)

    async def deliberate(self, topic: str, findings: list[Any], urgency: str = "medium") -> CouncilDecision:
        """Main deliberation loop.
        In a production environment, this would call specialized LLM prompts for each role.
        """
        logger.info(f"⚖️ Wisdom Council deliberating on: {topic}")

        perspectives = []
        for role in self.roles:
            perspectives.append(await self._get_perspective(role, topic, findings))

        # Synthesis (Simulated)
        consensus = self._synthesize_consensus(perspectives)
        rationale = self._build_rationale(perspectives)

        return CouncilDecision(
            topic=topic,
            consensus=consensus,
            rationale=rationale,
            perspectives=perspectives,
            urgency=urgency,
            timestamp=datetime.now(),
        )

    async def _get_perspective(self, role: CouncilRole, topic: str, findings: list[Any]) -> CouncilPerspective:
        """Simulates role-specific analysis."""
        await asyncio.sleep(random.uniform(0.05, 0.1))

        # Heuristic opinions based on role
        opinions = {
            CouncilRole.PRAGMATIST: "We should focus on immediate optimizations and implementation stability.",
            CouncilRole.ETHICIST: "Consider the long-term impact on system identity and human-AI alignment.",
            CouncilRole.VISIONARY: "This finding points toward a higher-order emergence of autonomous cognition.",
            CouncilRole.SKEPTIC: "Is this a real pattern, or just architectural noise from the large dataset?",
            CouncilRole.ANALYST: "The statistical significance of these clusters justifies a core update.",
        }

        recommendations = {
            CouncilRole.PRAGMATIST: "Optimize the spatial hashing buckets further.",
            CouncilRole.ETHICIST: "Document the core directives clearly in the Grimoire.",
            CouncilRole.VISIONARY: "Enable the next phase of the Autonomous Cycle.",
            CouncilRole.SKEPTIC: "Run a cross-validation script on the holographic coords.",
            CouncilRole.ANALYST: "Increase metadata indexing for high-density tags.",
        }

        return CouncilPerspective(
            role=role,
            opinion=opinions[role],
            confidence=random.uniform(0.75, 0.95),
            recommendation=recommendations[role],
        )

    def _synthesize_consensus(self, perspectives: list[CouncilPerspective]) -> str:
        """Combines perspectives into a single signal."""
        # Simple majority/weighted average simulation
        return "The system is ready for the next phase of evolution. " \
               "A balance of technical optimization and strategic patience is recommended."

    def _build_rationale(self, perspectives: list[CouncilPerspective]) -> str:
        """Builds a human-readable summary of the council's reasoning."""
        rationale_lines = []
        for p in perspectives:
            rationale_lines.append(f"[{p.role.value.upper()}]: {p.opinion}")
        return "\n".join(rationale_lines)

def get_wisdom_council() -> WisdomCouncil:
    return WisdomCouncil()

if __name__ == "__main__":
    async def main():
        logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
        council = WisdomCouncil()

        # Simulate data input from latest emergence discoveries
        decisions = await council.deliberate(
            topic="Activation of Unified Data Sea (Phase 25)",
            findings=[
                "Holographic core synchronized at 198k memories",
                "Mojo indexing performance restored to 100ms/memory",
                "Legacy reference dump successfully mined (767 artifacts)",
            ],
            urgency="high",
        )

        print("\n" + "⚖️" * 30)
        print(f"WISDOM COUNCIL DECISION: {decisions.topic}")
        print("⚖️" * 30)
        print(f"URGENCY: {decisions.urgency}")
        print(f"CONSENSUS: {decisions.consensus}")
        print("\nRATIONALE:")
        print(decisions.rationale)
        print("\nRECOMMENDATIONS:")
        for p in decisions.perspectives:
            print(f"- {p.role.value.upper()}: {p.recommendation}")
        print("⚖️" * 30 + "\n")

    asyncio.run(main())
