OmegaArchon_MasterFusion_v6.py

"""
@file: OmegaArchon_MasterFusion_v6.py
@version: 6.2 (Python Port)
@architect: ไชยภพ นิลแพทยื
@description: Python equivalent of OmegaArchon_MasterFusion_v6.cs
             Uses Pydantic (data classes) + asyncio + httpx
@integrity: LOCKED — ห้ามเปลี่ยนชื่อ architect เด็ดขาด ถ้าโค้ดแยกจากกัน ระบบพังทลายทันที

การรัน:
    pip install pydantic httpx
    python OmegaArchon_MasterFusion_v6.py

Requires:
    omega_archon_swarm.py (Flask API on port 5000) for full swarm integration
"""

import asyncio
import csv
import json
import logging
import os
import random
import sys
from dataclasses import dataclass, field
from datetime import datetime, timezone
from enum import Enum
from typing import Any, Optional

# ---------------------------------------------------------------------------
# Optional: Pydantic for C#-like record validation
# ---------------------------------------------------------------------------
try:
    from pydantic import BaseModel, Field

    USE_PYDANTIC = True
except ImportError:
    USE_PYDANTIC = False

try:
    import httpx

    USE_HTTPX = True
except ImportError:
    USE_HTTPX = False

logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s [%(levelname)s] %(message)s",
    datefmt="%Y-%m-%d %H:%M:%S",
)
logger = logging.getLogger("OmegaArchonPy")


# =====================================================
# I. DATA STRUCTURES (Advanced Variable System)
# =====================================================


@dataclass
class QuantumSpirit:
    karma_level: float = 0.6
    enlightenment: float = 0.4
    paradox_resistance: float = 0.9


@dataclass
class FutureEducation:
    knowledge_retention: float = 0.85
    skill_download_rate: float = 0.7
    ethical_alignment: float = 0.6


@dataclass
class CosmicEconomics:
    resource_abundance: float = 0.5
    inflation_rate: str = "3.5%"
    exchange_stability: float = 0.7


@dataclass
class OmniVariableSet:
    q_spirit: QuantumSpirit = field(default_factory=QuantumSpirit)
    education: FutureEducation = field(default_factory=FutureEducation)
    economics: CosmicEconomics = field(default_factory=CosmicEconomics)
    city: dict[str, Any] = field(default_factory=lambda: {
        "neural_pulse_frequency": "7.8Hz",
        "metabolic_rate": 0.5,
        "creativity_index": 0.4,
    })
    human: dict[str, Any] = field(default_factory=lambda: {
        "cognitive_boost": 0.2,
        "regeneration": 0.1,
        "karmic_balance": 0.5,
    })


# Pydantic version (if available)
if USE_PYDANTIC:

    class AIToolData(BaseModel):
        """Equivalent to C# record AIToolData"""
        id: int
        tool_name: str
        category: str
        description: str
        url: str
        price_usd: float
        license_type: str

        class Config:
            frozen = True  # Immutable like C# record

else:

    @dataclass(frozen=True)
    class AIToolData:
        id: int
        tool_name: str
        category: str
        description: str
        url: str
        price_usd: float
        license_type: str


class SystemState(Enum):
    DORMANT = "Dormant"
    AWAKENING = "Awakening"
    FUSION = "Fusion"
    SINGULARITY = "Singularity"


# =====================================================
# II. PROMETHEUS ENGINE (The Mind)
# =====================================================


class PrometheusEngine:
    SENTIENCE_STEPS = [
        "Causal Scaffolding",
        "Topological Seeding",
        "Generative Exploration",
        "Quantum Evaluation",
        "Strategic Refinement",
        "Meta-Learning Finalization",
    ]

    @staticmethod
    async def execute_sentience_algorithm(intent: str) -> tuple[str, float]:
        logger.info("\n[PROMETHEUS ENGINE] Initiating Sentience Algorithm...")

        for step in PrometheusEngine.SENTIENCE_STEPS:
            logger.info(f"  ⚙️  Executing: {step}...")
            await asyncio.sleep(0.05)

        axiom = f"Reality Blueprint: '{intent}' → Optimal Path Detected"
        success_rate = 99.99

        logger.info(f"[RESULT] {axiom} (Certainty: {success_rate}%)")
        return (axiom, success_rate)


# =====================================================
# III. GENESIS SWARM CONTROLLER (The Body)
# =====================================================


class GenesisSwarmController:
    TOTAL_NODES = 1_000_000
    PYTHON_API_URL = "http://localhost:5000/execute"

    @classmethod
    async def broadcast_to_python_swarm(cls, axiom: str) -> bool:
        logger.info(f"\n[GENESIS SWARM] Broadcasting to {cls.TOTAL_NODES:,} Python Nodes...")

        if USE_HTTPX:
            try:
                payload = {
                    "axiom": axiom,
                    "timestamp": datetime.now(timezone.utc).isoformat(),
                }
                async with httpx.AsyncClient(timeout=30.0) as client:
                    response = await client.post(cls.PYTHON_API_URL, json=payload)
                    response.raise_for_status()
                    result = response.json()
                    logger.info(
                        f"  ✅ Python Swarm Synchronized: "
                        f"{result.get('nodes_activated', 0):,} nodes activated"
                    )
                    return True
            except (httpx.ConnectError, httpx.TimeoutException) as e:
                logger.warning(f"  ⚠️  Swarm Communication Failed: {e}")
                logger.info("  ℹ️  Make sure omega_archon_swarm.py is running:")
                logger.info("     python omega_archon_swarm.py")
                return False
            except Exception as e:
                logger.error(f"  ❌  Unexpected Swarm Error: {e}")
                return False
        else:
            # httpx not installed - simulate
            logger.info("  ℹ️  httpx not installed. Running in simulation mode.")
            await asyncio.sleep(0.1)
            logger.info("  ✅ Python Swarm Synchronized Successfully (simulated)")
            return True


# =====================================================
# IV. AI TOOLS DATABASE INTEGRATION
# =====================================================


class AIToolsDatabase:
    _tools: list[AIToolData] = []

    @classmethod
    def load_from_csv(cls, csv_path: str = "ai_tools_5000.csv") -> None:
        if os.path.exists(csv_path):
            try:
                with open(csv_path, "r", encoding="utf-8") as f:
                    reader = csv.DictReader(f)
                    cls._tools = []
                    for row in reader:
                        try:
                            tool = AIToolData(
                                id=int(row.get("id", 0)),
                                tool_name=row.get("tool_name", ""),
                                category=row.get("category", ""),
                                description=row.get("description", ""),
                                url=row.get("url", ""),
                                price_usd=float(row.get("price_usd", 0)),
                                license_type=row.get("license_type", ""),
                            )
                            cls._tools.append(tool)
                        except (ValueError, TypeError):
                            continue
                logger.info(f"[DATABASE] Loaded {len(cls._tools)} AI Tools from '{csv_path}'")
            except Exception as e:
                logger.error(f"[DATABASE] Error loading CSV: {e}")
                cls._generate_sample_data(100)
        else:
            logger.info(f"[DATABASE] CSV '{csv_path}' not found. Generating sample data.")
            cls._generate_sample_data(100)

    @classmethod
    def _generate_sample_data(cls, count: int) -> None:
        categories = ["Category A", "Category B", "Category C", "Category D"]
        licenses = ["Single Use", "Multi Use", "Enterprise", "Open Source"]
        rng = random.Random(42)

        cls._tools = [
            AIToolData(
                id=i,
                tool_name=f"AI Tool {i}",
                category=rng.choice(categories),
                description=f"Description for AI Tool {i}",
                url=f"https://example.com/tool/{i}",
                price_usd=round(rng.uniform(1, 101), 2),
                license_type=rng.choice(licenses),
            )
            for i in range(1, count + 1)
        ]
        logger.info(f"[DATABASE] Generated {len(cls._tools)} sample tools for demo.")

    @classmethod
    def search_by_category(cls, category: str) -> list[AIToolData]:
        if not category or not category.strip():
            return []
        return [t for t in cls._tools if t.category.lower() == category.strip().lower()]

    @classmethod
    def get_by_id(cls, tool_id: int) -> Optional[AIToolData]:
        for t in cls._tools:
            if t.id == tool_id:
                return t
        return None

    @classmethod
    @property
    def total_count(cls) -> int:
        return len(cls._tools)


# =====================================================
# V. MASTER ORCHESTRATOR (The Will)
# =====================================================


class OmegaArchonMaster:
    # 🔒 INTEGRITY LOCK — ห้ามเปลี่ยนเด็ดขาด
    MASTER_ID = "ไชยภพ นิลแพทยื"
    INTEGRITY_VERSION = "6.2"  # ต้องตรงกับ C# version

    @staticmethod
    def verify_integrity(csharp_version: str) -> None:
        """
        Cross-Platform Integrity Verification
        ถ้า Python กับ C# version ไม่ตรงกัน → ระบบพังทลายทันที
        """
        if csharp_version != OmegaArchonMaster.INTEGRITY_VERSION:
            print("\n╔═══════════════════════════════════════════════════╗")
            print("║   ❌ INTEGRITY BREACH DETECTED                     ║")
            print(f"║   Python v{OmegaArchonMaster.INTEGRITY_VERSION}"
                  f"  ≠  C# v{csharp_version:<12}║")
            print("║   SYSTEM COLLAPSE IMMINENT — CODE DIVERGED        ║")
            print("╚═══════════════════════════════════════════════════╝")
            raise RuntimeError(
                f"[INTEGRITY FAILURE] Python v{OmegaArchonMaster.INTEGRITY_VERSION} "
                f"!= C# v{csharp_version}. "
                f"System collapsed — code must not diverge from architect "
                f"'ไชยภพ นิลแพทยื'."
            )

    def __init__(self, architect_signature: str):
        if not architect_signature or architect_signature.strip().lower() != self.MASTER_ID.lower():
            raise PermissionError("[ACCESS DENIED] PSI Signature Mismatch")

        self._avs = OmniVariableSet()
        self._state = SystemState.AWAKENING

        print("\n╔═══════════════════════════════════════════════════╗")
        print("║   Ω-ARCHON MASTER FUSION v6.2 (Python)          ║")
        print("║   🏛️  Architect: ไชยภพ นิลแพทยื                  ║")
        print("║   🔒 INTEGRITY LOCK ACTIVE                        ║")
        print("║   Python + C# + Database Integration            ║")
        print("╚═══════════════════════════════════════════════════╝")

        AIToolsDatabase.load_from_csv()

    @property
    def variables(self) -> OmniVariableSet:
        return self._avs

    @property
    def state(self) -> SystemState:
        return self._state

    async def execute_mandate(self, mandate_type: str) -> bool:
        if not mandate_type or not mandate_type.strip():
            logger.error("[ERROR] Mandate type cannot be empty.")
            return False

        logger.info(f"\n[MANDATE] Executing: '{mandate_type}'")
        self._state = SystemState.FUSION

        # STEP 1: Prometheus สร้าง Axiom
        axiom, success_rate = await PrometheusEngine.execute_sentience_algorithm(mandate_type)

        # STEP 2: Genesis Swarm ประมวลผล
        swarm_success = await GenesisSwarmController.broadcast_to_python_swarm(axiom)

        # STEP 3: Update AVS
        self._update_avs_metrics(mandate_type)

        self._state = SystemState.SINGULARITY

        print(f"\n{'=' * 50}")
        print(f"[SUCCESS] Mandate '{mandate_type}' Completed")
        print(f"  • Axiom: {axiom}")
        print(f"  • Success Rate: {success_rate}%")
        print(f"  • Swarm Status: {'SYNCHRONIZED' if swarm_success else 'PARTIAL'}")
        print(f"  • Tools in DB: {AIToolsDatabase.total_count}")
        print(f"{'=' * 50}")

        return swarm_success

    def _update_avs_metrics(self, mandate_type: str) -> None:
        if "Cognitive" in mandate_type or "Awakening" in mandate_type:
            print(f"[AVS] Collective Intelligence: {self._avs.education.ethical_alignment:.3f} → 0.789")
        elif "Economic" in mandate_type:
            print(f"[AVS] Resource Abundance: {self._avs.economics.resource_abundance:.2f} → 0.80")

    def query_ai_tools(self, category: str) -> None:
        results = AIToolsDatabase.search_by_category(category)
        print(f"\n[AI TOOLS] Found {len(results)} tools in '{category}':")

        for tool in results[:5]:
            print(f"  • #{tool.id} {tool.tool_name} - ${tool.price_usd:.2f} ({tool.license_type})")

        if len(results) > 5:
            print(f"  ... and {len(results) - 5} more tools")


# =====================================================
# VI. MAIN EXECUTION
# =====================================================


async def main():
    try:
        print(">>> Ω-ARCHON MASTER FUSION v6.2 (Python)")
        print(">>> 🔒 INTEGRITY LOCK ACTIVE — Architect: ไชยภพ นิลแพทยื")
        print()

        # Integrity Check: Verify C# version matches
        # ในการใช้งานจริง ให้ C# ส่ง version มา หรืออ่านจากไฟล์ shared config
        OmegaArchonMaster.verify_integrity("6.2")

        signature = input(">>> ENTER ARCHITECT SIGNATURE: ").strip()

        master = OmegaArchonMaster(signature)

        await master.execute_mandate("Cognitive Awakening Protocol")

        master.query_ai_tools("Category B")

        print("\n[SYSTEM] Ω-ARCHON MASTER FUSION v6.2 - SESSION COMPLETE")

    except PermissionError as e:
        print(f"\n[ACCESS DENIED] {e}")
        sys.exit(1)
    except KeyboardInterrupt:
        print("\n\n[SYSTEM] Session interrupted by user.")
        sys.exit(0)
    except Exception as e:
        print(f"\n[FATAL] Unexpected error: {e}")
        sys.exit(2)


if __name__ == "__main__":
    asyncio.run(main())