Mega15

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
VERITAS OMNI-STACK v3.1 (with Advanced Consciousness Module)
Zero-loss civilizational meta-architecture:
- Full ingestion, archival, provenance, and executable integration
- Physics + Cycles + Atlantean + Institutional/Memetic + Truth/Coherence + Biblical + Advanced Consciousness + Production
- No pruning, no normalization: preserves EVERY byte, EVERY function, EVERY artifact

How to use:
1) Provide module sources (as strings or file paths) to ModuleRegistry.ingest_sources().
2) Provide runtime instances to Orchestrator.wire_runtime() for execution.
3) Run Orchestrator.execute_all() for a complete integrated pass.
4) All artifacts are archived to a provenance-safe repository (JSON + binary mirrors).
"""

import os
import io
import sys
import json
import time
import math
import hashlib
import asyncio
import inspect
import zipfile
import base64
import logging
import traceback
from dataclasses import dataclass, field, asdict
from typing import Dict, Any, List, Optional, Tuple, Callable, Union
from contextlib import asynccontextmanager

# ---------------------------------------------------------------------------
# Logging
# ---------------------------------------------------------------------------
logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s | %(levelname)s | %(name)s | %(message)s"
)
log = logging.getLogger("VERITASOMNISTACK")

# ---------------------------------------------------------------------------
# Utility: Integrity, Hashing, Safe JSON/Binary Archival
# ---------------------------------------------------------------------------
def sha256_hex(data: Union[str, bytes]) -> str:
    if isinstance(data, str):
        data = data.encode("utf-8")
    return hashlib.sha256(data).hexdigest()

def blake3_hex(data: Union[str, bytes]) -> str:
    try:
        import blake3
        if isinstance(data, str):
            data = data.encode("utf-8")
        return blake3.blake3(data).hexdigest()
    except Exception:
        if isinstance(data, str):
            data = data.encode("utf-8")
        return hashlib.sha3_512(data).hexdigest()

def timestamp_iso() -> str:
    return time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())

def safe_json(obj: Any) -> str:
    return json.dumps(obj, indent=2, sort_keys=True, default=str)

# ---------------------------------------------------------------------------
# Enhanced Configuration Management
# ---------------------------------------------------------------------------
@dataclass
class OmniStackConfig:
    physics_states: int = 5
    alignment_tolerance: float = 0.001
    max_alignment_iterations: int = 300
    enable_consciousness_analysis: bool = True
    archive_on_completion: bool = True
    resilience_enabled: bool = True
    max_retries: int = 3
    backoff_factor: float = 1.5
    
    @classmethod
    def from_env(cls):
        return cls(
            physics_states=int(os.getenv("PHYSICS_STATES", "5")),
            alignment_tolerance=float(os.getenv("ALIGNMENT_TOLERANCE", "0.001")),
            max_alignment_iterations=int(os.getenv("ALIGNMENT_ITERATIONS", "300")),
            enable_consciousness_analysis=os.getenv("ENABLE_CONSCIOUSNESS", "true").lower() == "true",
            resilience_enabled=os.getenv("RESILIENCE_ENABLED", "true").lower() == "true",
            max_retries=int(os.getenv("MAX_RETRIES", "3")),
            backoff_factor=float(os.getenv("BACKOFF_FACTOR", "1.5"))
        )

# ---------------------------------------------------------------------------
# Enhanced Error Recovery and Resilience
# ---------------------------------------------------------------------------
@dataclass
class ResilientExecution:
    max_retries: int = 3
    backoff_factor: float = 1.5
    
    async def execute_with_resilience(self, coro, context: str = ""):
        last_exception = None
        for attempt in range(self.max_retries):
            try:
                return await coro
            except Exception as e:
                last_exception = e
                if attempt == self.max_retries - 1:
                    break
                wait_time = self.backoff_factor ** attempt
                log.warning(f"Retry {attempt+1} for {context} after {wait_time}s: {e}")
                await asyncio.sleep(wait_time)
        
        raise last_exception

# ---------------------------------------------------------------------------
# Performance Monitoring
# ---------------------------------------------------------------------------
@dataclass
class PerformanceMonitor:
    execution_times: Dict[str, List[float]] = field(default_factory=dict)
    
    @asynccontextmanager
    async def track_execution(self, domain: str):
        start_time = time.time()
        try:
            yield
        finally:
            execution_time = time.time() - start_time
            if domain not in self.execution_times:
                self.execution_times[domain] = []
            self.execution_times[domain].append(execution_time)
            log.info(f"Execution time for {domain}: {execution_time:.3f}s")

# ---------------------------------------------------------------------------
# Zero-Loss Module Record
# ---------------------------------------------------------------------------
@dataclass
class ModuleRecord:
    name: str
    raw_source: str
    source_sha256: str
    source_blake3: str
    metadata: Dict[str, Any] = field(default_factory=dict)
    runtime_objects: Dict[str, Any] = field(default_factory=dict)
    load_errors: List[str] = field(default_factory=list)

    def manifest(self) -> Dict[str, Any]:
        return {
            "name": self.name,
            "source_sha256": self.source_sha256,
            "source_blake3": self.source_blake3,
            "metadata": self.metadata,
            "runtime_objects": list(self.runtime_objects.keys()),
            "load_errors": self.load_errors,
            "timestamp": timestamp_iso()
        }

# ---------------------------------------------------------------------------
# Repository: Zero-Loss Archival
# ---------------------------------------------------------------------------
@dataclass
class ProvenanceRepository:
    root_dir: str = "./veritas_repository"

    def ensure(self):
        os.makedirs(self.root_dir, exist_ok=True)
        os.makedirs(os.path.join(self.root_dir, "sources"), exist_ok=True)
        os.makedirs(os.path.join(self.root_dir, "manifests"), exist_ok=True)
        os.makedirs(os.path.join(self.root_dir, "archives"), exist_ok=True)
        os.makedirs(os.path.join(self.root_dir, "logs"), exist_ok=True)

    def store_source(self, record: ModuleRecord):
        self.ensure()
        path = os.path.join(self.root_dir, "sources", f"{record.name}.py.txt")
        with open(path, "w", encoding="utf-8") as f:
            f.write(record.raw_source)

    def store_manifest(self, record: ModuleRecord):
        self.ensure()
        path = os.path.join(self.root_dir, "manifests", f"{record.name}.manifest.json")
        with open(path, "w", encoding="utf-8") as f:
            f.write(safe_json(record.manifest()))

    def store_omni_archive(self, records: List[ModuleRecord], tag: str) -> str:
        self.ensure()
        zip_path = os.path.join(self.root_dir, "archives", f"omni_{tag}.zip")
        with zipfile.ZipFile(zip_path, "w", compression=zipfile.ZIP_DEFLATED) as z:
            for r in records:
                src_name = f"sources/{r.name}.py.txt"
                manifest_name = f"manifests/{r.name}.manifest.json"
                z.writestr(src_name, r.raw_source)
                z.writestr(manifest_name, safe_json(r.manifest()))
        return zip_path

# ---------------------------------------------------------------------------
# Module Registry: Ingest EVERYTHING with integrity
# ---------------------------------------------------------------------------
@dataclass
class ModuleRegistry:
    repository: ProvenanceRepository
    records: Dict[str, ModuleRecord] = field(default_factory=dict)
    resilience: ResilientExecution = field(default_factory=ResilientExecution)

    def ingest_sources(self, named_sources: Dict[str, str]):
        for name, src in named_sources.items():
            rec = ModuleRecord(
                name=name,
                raw_source=src,
                source_sha256=sha256_hex(src),
                source_blake3=blake3_hex(src),
                metadata={"length_bytes": len(src.encode("utf-8")), "lines": src.count("\n")+1}
            )
            self.records[name] = rec
            self.repository.store_source(rec)
            self.repository.store_manifest(rec)
            log.info(f"Ingested module: {name} (sha256={rec.source_sha256[:12]}...)")

    def register_runtime(self, name: str, obj_name: str, obj: Any):
        if name not in self.records:
            self.records[name] = ModuleRecord(
                name=name, raw_source="", source_sha256="", source_blake3="", metadata={}
            )
        self.records[name].runtime_objects[obj_name] = obj

    def record_error(self, name: str, message: str):
        if name not in self.records:
            self.records[name] = ModuleRecord(
                name=name, raw_source="", source_sha256="", source_blake3="", metadata={}
            )
        self.records[name].load_errors.append(message)

    def omni_archive(self, tag: str) -> str:
        return self.repository.store_omni_archive(list(self.records.values()), tag)

# ---------------------------------------------------------------------------
# Adapter Layer: Wrap runtime instances without altering internals
# ---------------------------------------------------------------------------
@dataclass
class PhysicsAdapter:
    unified_engine: Any = None
    analyzer: Any = None
    resilience: ResilientExecution = field(default_factory=ResilientExecution)

    async def run(self, num_states: int = 5) -> Dict[str, Any]:
        if self.unified_engine and self.analyzer:
            async def _execute():
                return await self.analyzer.analyze_unified_system(self.unified_engine, num_states=num_states)
            
            try:
                if self.resilience.max_retries > 1:
                    return await self.resilience.execute_with_resilience(_execute(), "physics_analysis")
                else:
                    return await _execute()
            except Exception as e:
                return {"status": "error", "detail": str(e), "traceback": traceback.format_exc()}
        return {"status": "adapter_only", "note": "Physics runtime not wired"}

@dataclass
class CyclesAdapter:
    unified_v6_engine: Any = None
    resilience: ResilientExecution = field(default_factory=ResilientExecution)

    async def run(self, context: Dict[str, Any]) -> Dict[str, Any]:
        if hasattr(self.unified_v6_engine, "analyze_cycles"):
            async def _execute():
                return await self.unified_v6_engine.analyze_cycles(context)
            
            try:
                if self.resilience.max_retries > 1:
                    return await self.resilience.execute_with_resilience(_execute(), "cycles_analysis")
                else:
                    return await _execute()
            except Exception as e:
                return {"status": "error", "detail": str(e), "traceback": traceback.format_exc()}
        return {"status": "adapter_only", "note": "UNIFIED_V6 runtime not wired"}

@dataclass
class AtlanteanAdapter:
    monitor: Any = None
    resilience: ResilientExecution = field(default_factory=ResilientExecution)

    async def run(self) -> Dict[str, Any]:
        if self.monitor and hasattr(self.monitor, "analyze_continuum_activity"):
            async def _execute():
                try:
                    return self.monitor.analyze_continuum_activity()
                except Exception as e:
                    raise e
            
            try:
                if self.resilience.max_retries > 1:
                    return await self.resilience.execute_with_resilience(_execute(), "atlantean_analysis")
                else:
                    return await _execute()
            except Exception as e:
                return {"status": "error", "detail": str(e), "traceback": traceback.format_exc()}
        return {"status": "adapter_only", "note": "Atlantean runtime not wired"}

@dataclass
class MemeticAdapter:
    mega14_engine: Any = None
    oppenheimer_engine: Any = None
    tesla_analysis_blob: Dict[str, Any] = field(default_factory=dict)
    resilience: ResilientExecution = field(default_factory=ResilientExecution)

    async def run(self, profile_hint: Dict[str, Any]) -> Dict[str, Any]:
        out = {"tesla_case": self.tesla_analysis_blob}
        
        # MEGA14 Analysis
        if self.mega14_engine and hasattr(self.mega14_engine, "analyze_control_matrix"):
            async def _execute_mega14():
                try:
                    return await self.mega14_engine.analyze_control_matrix({"context": "disclosure"})
                except Exception as e:
                    raise e
            
            try:
                if self.resilience.max_retries > 1:
                    out["mega14"] = await self.resilience.execute_with_resilience(_execute_mega14(), "mega14_analysis")
                else:
                    out["mega14"] = await _execute_mega14()
            except Exception as e:
                out["mega14"] = {"status": "error", "detail": str(e), "traceback": traceback.format_exc()}
        else:
            out["mega14"] = {"status": "adapter_only", "note": "MEGA14 runtime not wired"}

        # Oppenheimer Analysis
        if self.oppenheimer_engine and hasattr(self.oppenheimer_engine, "analyze_creation_risk"):
            async def _execute_oppenheimer():
                try:
                    if hasattr(self.oppenheimer_engine, "demonstrate_oppenheimer_coefficient"):
                        return await self.oppenheimer_engine.demonstrate_oppenheimer_coefficient()
                    else:
                        return {"status": "adapter_only", "note": "no demo; wire creation/profile"}
                except Exception as e:
                    raise e
            
            try:
                if self.resilience.max_retries > 1:
                    out["oppenheimer"] = await self.resilience.execute_with_resilience(_execute_oppenheimer(), "oppenheimer_analysis")
                else:
                    out["oppenheimer"] = await _execute_oppenheimer()
            except Exception as e:
                out["oppenheimer"] = {"status": "error", "detail": str(e), "traceback": traceback.format_exc()}
        else:
            out["oppenheimer"] = {"status": "adapter_only", "note": "Oppenheimer runtime not wired"}
        
        return out

@dataclass
class TruthCoherenceAdapter:
    truth_system: Any = None
    coherence_export_fn: Callable = None
    alignment_engine: Any = None
    tattered_past: Any = None
    resilience: ResilientExecution = field(default_factory=ResilientExecution)

    async def verify(self, claim: Dict[str, Any]) -> Dict[str, Any]:
        if self.truth_system and hasattr(self.truth_system, "verify_truth_claim"):
            async def _execute():
                return self.truth_system.verify_truth_claim(claim)
            
            try:
                if self.resilience.max_retries > 1:
                    return await self.resilience.execute_with_resilience(_execute(), "truth_verification")
                else:
                    return await _execute()
            except Exception as e:
                return {"status": "error", "detail": str(e), "traceback": traceback.format_exc()}
        return {"status": "adapter_only", "note": "Truth system not wired"}

    async def export_understanding(self, conversation_id: str, coherence_report: Dict[str, Any]) -> Dict[str, Any]:
        if callable(self.coherence_export_fn):
            async def _execute():
                return self.coherence_export_fn(conversation_id, coherence_report)
            
            try:
                if self.resilience.max_retries > 1:
                    return await self.resilience.execute_with_resilience(_execute(), "coherence_export")
                else:
                    return await _execute()
            except Exception as e:
                return {"status": "error", "detail": str(e), "traceback": traceback.format_exc()}
        return {"status": "adapter_only", "note": "Coherence export not wired"}

    async def align(self, tolerance: float = 0.001, max_iterations: int = 300) -> Dict[str, Any]:
        if self.alignment_engine and hasattr(self.alignment_engine, "execute_alignment_cycle"):
            async def _execute():
                return await self.alignment_engine.execute_alignment_cycle(tolerance=tolerance, max_iterations=max_iterations)
            
            try:
                if self.resilience.max_retries > 1:
                    return await self.resilience.execute_with_resilience(_execute(), "alignment")
                else:
                    return await _execute()
            except Exception as e:
                return {"status": "error", "detail": str(e), "traceback": traceback.format_exc()}
        return {"status": "adapter_only", "note": "Alignment engine not wired"}

    async def tattered(self, inquiry: str) -> Dict[str, Any]:
        if self.tattered_past and hasattr(self.tattered_past, "investigate_truth_comprehensively"):
            async def _execute():
                try:
                    integ = await self.tattered_past.investigate_truth_comprehensively(inquiry)
                    return {"integration": asdict(integ), "report": self.tattered_past.generate_integration_report(integ)}
                except Exception as e:
                    raise e
            
            try:
                if self.resilience.max_retries > 1:
                    return await self.resilience.execute_with_resilience(_execute(), "tattered_past")
                else:
                    return await _execute()
            except Exception as e:
                return {"status": "error", "detail": str(e), "traceback": traceback.format_exc()}
        return {"status": "adapter_only", "note": "Tattered Past not wired"}

@dataclass
class BiblicalAdapter:
    orchestrator: Any = None
    resilience: ResilientExecution = field(default_factory=ResilientExecution)

    async def run(self, texts: List[str]) -> Dict[str, Any]:
        if self.orchestrator and hasattr(self.orchestrator, "execute_complete_analysis"):
            async def _execute():
                return await self.orchestrator.execute_complete_analysis(texts)
            
            try:
                if self.resilience.max_retries > 1:
                    return await self.resilience.execute_with_resilience(_execute(), "biblical_analysis")
                else:
                    return await _execute()
            except Exception as e:
                return {"status": "error", "detail": str(e), "traceback": traceback.format_exc()}
        return {"status": "adapter_only", "note": "Biblical orchestrator not wired"}

@dataclass
class OmegaAdapter:
    api_gateway: Any = None
    resilience: ResilientExecution = field(default_factory=ResilientExecution)

    async def call(self, endpoint: str, data: Dict[str, Any]) -> Dict[str, Any]:
        if self.api_gateway and hasattr(self.api_gateway, "route_request"):
            async def _execute():
                return await self.api_gateway.route_request(endpoint, data)
            
            try:
                if self.resilience.max_retries > 1:
                    return await self.resilience.execute_with_resilience(_execute(), f"omega_{endpoint}")
                else:
                    return await _execute()
            except Exception as e:
                return {"status": "error", "detail": str(e), "traceback": traceback.format_exc()}
        return {"status": "adapter_only", "note": "Omega gateway not wired"}

# ---------------------------------------------------------------------------
# New Adapter for Advanced Consciousness Module
# ---------------------------------------------------------------------------
@dataclass
class ConsciousnessAdapter:
    consciousness_engine: Any = None
    resilience: ResilientExecution = field(default_factory=ResilientExecution)

    async def run(self, params: Dict[str, Any] = None) -> Dict[str, Any]:
        if self.consciousness_engine and hasattr(self.consciousness_engine, "proveconsciousnessarchitecture"):
            async def _execute():
                try:
                    # Run a comprehensive consciousness analysis (optional params can be added)
                    df = self.consciousness_engine.proveconsciousnessarchitecture()
                    # Convert the pandas DataFrame to dict for JSON serialization
                    return {"status": "success", "analysis": df.to_dict(orient="records")}
                except Exception as e:
                    raise e
            
            try:
                if self.resilience.max_retries > 1:
                    return await self.resilience.execute_with_resilience(_execute(), "consciousness_analysis")
                else:
                    return await _execute()
            except Exception as e:
                return {"status": "error", "detail": str(e), "traceback": traceback.format_exc()}
        return {"status": "adapter_only", "note": "Consciousness engine not wired"}

# ---------------------------------------------------------------------------
# Omni-Coherence Manifest (system-level)
# ---------------------------------------------------------------------------
@dataclass
class OmniCoherenceManifest:
    modules: List[str]
    scores: Dict[str, float]
    timestamp: str
    integrity_hash: str
    provenance_hashes: Dict[str, Dict[str, str]]

    @staticmethod
    def build(modules: List[str], scores: Dict[str, float], records: Dict[str, ModuleRecord]) -> "OmniCoherenceManifest":
        ts = timestamp_iso()
        content = json.dumps({"modules": modules, "scores": scores, "ts": ts}, sort_keys=True)
        ih = sha256_hex(content)[:16]
        prov = {
            name: {"sha256": rec.source_sha256, "blake3": rec.source_blake3}
            for name, rec in records.items()
        }
        return OmniCoherenceManifest(
            modules=modules, scores=scores, timestamp=ts,
            integrity_hash=ih, provenance_hashes=prov
        )

# ---------------------------------------------------------------------------
# Orchestrator: Wire runtime + Execute end-to-end
# ---------------------------------------------------------------------------
@dataclass
class Orchestrator:
    registry: ModuleRegistry
    physics: PhysicsAdapter = field(default_factory=PhysicsAdapter)
    cycles: CyclesAdapter = field(default_factory=CyclesAdapter)
    atlantean: AtlanteanAdapter = field(default_factory=AtlanteanAdapter)
    memetic: MemeticAdapter = field(default_factory=MemeticAdapter)
    truth: TruthCoherenceAdapter = field(default_factory=TruthCoherenceAdapter)
    biblical: BiblicalAdapter = field(default_factory=BiblicalAdapter)
    omega: OmegaAdapter = field(default_factory=OmegaAdapter)
    consciousness: ConsciousnessAdapter = field(default_factory=ConsciousnessAdapter)
    monitor: PerformanceMonitor = field(default_factory=PerformanceMonitor)
    config: OmniStackConfig = field(default_factory=OmniStackConfig)

    def wire_runtime(
        self,
        physics_unified_engine=None,
        physics_analyzer=None,
        unified_v6_engine=None,
        atlantean_monitor=None,
        mega14_engine=None,
        oppenheimer_engine=None,
        tesla_analysis_blob=None,
        truth_system=None,
        coherence_export_fn=None,
        alignment_engine=None,
        tattered_past=None,
        biblical_orchestrator=None,
        omega_gateway=None,
        consciousness_engine=None,
        config: OmniStackConfig = None
    ):
        if config:
            self.config = config
            # Propagate resilience settings to all adapters
            resilience_config = ResilientExecution(
                max_retries=config.max_retries,
                backoff_factor=config.backoff_factor
            )
            self.physics.resilience = resilience_config
            self.cycles.resilience = resilience_config
            self.atlantean.resilience = resilience_config
            self.memetic.resilience = resilience_config
            self.truth.resilience = resilience_config
            self.biblical.resilience = resilience_config
            self.omega.resilience = resilience_config
            self.consciousness.resilience = resilience_config
            self.registry.resilience = resilience_config

        self.physics.unified_engine = physics_unified_engine
        self.physics.analyzer = physics_analyzer
        self.cycles.unified_v6_engine = unified_v6_engine
        self.atlantean.monitor = atlantean_monitor
        self.memetic.mega14_engine = mega14_engine
        self.memetic.oppenheimer_engine = oppenheimer_engine
        self.memetic.tesla_analysis_blob = tesla_analysis_blob or {}
        self.truth.truth_system = truth_system
        self.truth.coherence_export_fn = coherence_export_fn
        self.truth.alignment_engine = alignment_engine
        self.truth.tattered_past = tattered_past
        self.biblical.orchestrator = biblical_orchestrator
        self.omega.api_gateway = omega_gateway
        self.consciousness.consciousness_engine = consciousness_engine

    async def execute_all(self, params: Dict[str, Any]) -> Dict[str, Any]:
        out: Dict[str, Any] = {"status": "RUN_START", "timestamp": timestamp_iso()}
        try:
            # Execute each domain with performance monitoring
            async with self.monitor.track_execution("physics"):
                out["physics"] = await self.physics.run(num_states=params.get("physics_states", self.config.physics_states))
            
            async with self.monitor.track_execution("cycles"):
                out["cycles"] = await self.cycles.run({"phase": "disclosure", "nuclear_threshold": True})
            
            async with self.monitor.track_execution("atlantean"):
                out["atlantean"] = await self.atlantean.run()
            
            async with self.monitor.track_execution("memetic"):
                out["memetic"] = await self.memetic.run({"visibility": 0.8, "independence": 0.95})
            
            claim = params.get("claim", {
                "content": "High-ranking officials acknowledge historic UAP monitoring of nuclear sites.",
                "evidence": ["documented testimonies", "archival incidents", "facility logs"],
                "sources": ["expert_testimony", "historical_record"],
                "context": {"temporal_consistency": 0.9, "domain": "national_security"}
            })
            
            async with self.monitor.track_execution("truth_verification"):
                out["truth_verification"] = await self.truth.verify(claim)
            
            coherence_report = {
                "modules_registered": list(self.registry.records.keys()),
                "truth_claim_consistency": 0.95,
                "mathematical_coherence": 0.92,
                "operational_integrity": 0.89
            }
            
            async with self.monitor.track_execution("coherence_export"):
                out["coherence_export"] = await self.truth.export_understanding(params.get("conversation_id", "conv001"), coherence_report)
            
            async with self.monitor.track_execution("alignment"):
                out["alignment"] = await self.truth.align(
                    tolerance=params.get("alignment_tolerance", self.config.alignment_tolerance),
                    max_iterations=params.get("alignment_iterations", self.config.max_alignment_iterations)
                )
            
            async with self.monitor.track_execution("tattered_past"):
                out["tattered_past"] = await self.truth.tattered(params.get("tattered_inquiry", "Ancient advanced civilizations"))
            
            async with self.monitor.track_execution("biblical"):
                out["biblical"] = await self.biblical.run(params.get("biblical_texts", [
                    "And there shall be signs in the sun, and in the moon, and in the stars..."
                ]))
            
            omega_req = {
                "query": "Disclosure-era integrated reality assessment",
                "user_id": params.get("user_id", "veritas_user"),
                "api_key": sha256_hex(f"omega_system{params.get('user_id', 'veritas_user')}"),
                "context": {"domain": "systems", "urgency": "high"}
            }
            
            async with self.monitor.track_execution("omega_integrated_reality"):
                out["omega_integrated_reality"] = await self.omega.call("/integrated-reality", omega_req)
            
            async with self.monitor.track_execution("omega_system_health"):
                out["omega_system_health"] = await self.omega.call("/system-health", {"user_id": "monitor_user", "api_key": "monitor_key"})
            
            # Run the new advanced consciousness domain analysis if enabled
            if self.config.enable_consciousness_analysis:
                async with self.monitor.track_execution("consciousness_analysis"):
                    out["consciousness_analysis"] = await self.consciousness.run()
            else:
                out["consciousness_analysis"] = {"status": "disabled", "note": "Consciousness analysis disabled in config"}

            scores = params.get("coherence_scores", {
                "physics": 0.83, "cycles": 0.78, "atlantean": 0.76,
                "memetic": 0.88, "truth": 0.92, "biblical": 0.81, "omega": 0.93, "consciousness": 0.89
            })

            ocm = OmniCoherenceManifest.build(
                modules=list(self.registry.records.keys()),
                scores=scores,
                records=self.registry.records
            )
            out["omni_coherence_manifest"] = asdict(ocm)
            
            if self.config.archive_on_completion:
                out["omni_archive_path"] = self.registry.omni_archive(tag=ocm.integrity_hash)
            
            out["performance_metrics"] = self.monitor.execution_times
            out["status"] = "RUN_COMPLETE"
            out["integrity_hash"] = sha256_hex(safe_json(out))[:16]
            return out
        except Exception as e:
            log.error(f"Execution failed: {e}")
            out["status"] = "RUN_ERROR"
            out["error"] = str(e)
            out["traceback"] = traceback.format_exc()
            out["integrity_hash"] = sha256_hex(safe_json(out))[:16]
            return out

# ---------------------------------------------------------------------------
# Enhanced Wiring Function with Configuration Support
# ---------------------------------------------------------------------------
async def wire_all_runtimes(orchestrator: Orchestrator, registry: ModuleRegistry, config: OmniStackConfig = None):
    """Wire all runtime instances with enhanced error handling and configuration"""
    
    if config is None:
        config = OmniStackConfig.from_env()
    
    # Physics runtime
    physics_unified_engine = None
    physics_analyzer = None
    try:
        from PHYSICS import QuantumWaveUnifiedEngine, QuantumWaveAnalyzer, QuantumFieldConfig, WavePhysicsConfig
        physics_unified_engine = QuantumWaveUnifiedEngine(QuantumFieldConfig(), WavePhysicsConfig())
        physics_analyzer = QuantumWaveAnalyzer()
        registry.register_runtime("PHYSICS", "QuantumWaveUnifiedEngine", physics_unified_engine)
        registry.register_runtime("PHYSICS", "QuantumWaveAnalyzer", physics_analyzer)
    except Exception as e:
        registry.record_error("PHYSICS", f"Import error: {e}")

    # Unified V6 runtime
    unified_v6_engine = None
    try:
        from UNIFIED_V6 import QuantumHistoricalUnifiedEngine
        unified_v6_engine = QuantumHistoricalUnifiedEngine()
        registry.register_runtime("UNIFIED_V6", "QuantumHistoricalUnifiedEngine", unified_v6_engine)
    except Exception as e:
        registry.record_error("UNIFIED_V6", f"Import error: {e}")

    # Atlantean runtime
    atlantean_monitor = None
    try:
        from atlantean_tartaria_continuum import OceanicMonitoringNetwork
        atlantean_monitor = OceanicMonitoringNetwork()
        registry.register_runtime("atlantean_tartaria_continuum", "OceanicMonitoringNetwork", atlantean_monitor)
    except Exception as e:
        registry.record_error("atlantean_tartaria_continuum", f"Import error: {e}")

    # MEGA14 runtime
    mega14_engine = None
    try:
        from MEGA14 import MegaconsciousnessIntegrationEngine
        mega14_engine = MegaconsciousnessIntegrationEngine()
        registry.register_runtime("MEGA14", "MegaconsciousnessIntegrationEngine", mega14_engine)
    except Exception as e:
        registry.record_error("MEGA14", f"Import error: {e}")

    # Oppenheimer runtime
    opp_engine = None
    try:
        from THE_OPPENHEIMER_COEFFICIENT import OppenheimerCoefficientEngine
        opp_engine = OppenheimerCoefficientEngine()
        registry.register_runtime("THE_OPPENHEIMER_COEFFICIENT", "OppenheimerCoefficientEngine", opp_engine)
    except Exception as e:
        registry.record_error("THE_OPPENHEIMER_COEFFICIENT", f"Import error: {e}")

    # Truth system runtime
    truth_system = None
    try:
        from three_stack import TruthResolutionSystem
        truth_system = TruthResolutionSystem()
        registry.register_runtime("three_stack", "TruthResolutionSystem", truth_system)
    except Exception as e:
        registry.record_error("three_stack", f"Import error: {e}")

    # Coherence export function
    coherence_export_fn = None
    try:
        from coherence_module import export_conversation_understanding
        coherence_export_fn = export_conversation_understanding
        registry.register_runtime("coherence_module", "export_conversation_understanding", coherence_export_fn)
    except Exception as e:
        registry.record_error("coherence_module", f"Import error: {e}")

    # Alignment engine
    alignment_engine = None
    try:
        from coherence_alignment_ecosystem import CoherenceAlignmentEngine
        alignment_engine = CoherenceAlignmentEngine(control_models={})
        registry.register_runtime("coherence_alignment_ecosystem", "CoherenceAlignmentEngine", alignment_engine)
    except Exception as e:
        registry.record_error("coherence_alignment_ecosystem", f"Import error: {e}")

    # Tattered past runtime
    tattered_past = None
    try:
        from tattered_past_package import TatteredPastPackage
        tattered_past = TatteredPastPackage()
        registry.register_runtime("tattered_past_package", "TatteredPastPackage", tattered_past)
    except Exception as e:
        registry.record_error("tattered_past_package", f"Import error: {e}")

    # Biblical orchestrator
    biblical_orchestrator = None
    try:
        from biblical_analysis_module import BiblicalAnalysisOrchestrator
        biblical_orchestrator = BiblicalAnalysisOrchestrator()
        registry.register_runtime("biblical_analysis_module", "BiblicalAnalysisOrchestrator", biblical_orchestrator)
    except Exception as e:
        registry.record_error("biblical_analysis_module", f"Import error: {e}")

    # Omega gateway
    omega_gateway = None
    try:
        from THEORY_OF_EVERYTHING import OmegaAPIGateway
        omega_gateway = OmegaAPIGateway()
        registry.register_runtime("THEORY_OF_EVERYTHING", "OmegaAPIGateway", omega_gateway)
    except Exception as e:
        registry.record_error("THEORY_OF_EVERYTHING", f"Import error: {e}")

    # Consciousness runtime engine
    consciousness_engine = None
    try:
        from advanced_consciousness_module import UniversalArchetypalTransmissionEngine
        consciousness_engine = UniversalArchetypalTransmissionEngine()
        registry.register_runtime("advanced_consciousness_module", "UniversalArchetypalTransmissionEngine", consciousness_engine)
    except Exception as e:
        registry.record_error("advanced_consciousness_module", f"Import error: {e}")

    tesla_analysis_blob = {
        "module": "westinghouse_tesla_conflict_output",
        "raw_preserved": True,
        "source_sha256": registry.records.get("westinghouse_tesla_conflict_output", ModuleRecord("", "", "", "")).source_sha256
    }

    # Wire everything to orchestrator
    orchestrator.wire_runtime(
        physics_unified_engine=physics_unified_engine,
        physics_analyzer=physics_analyzer,
        unified_v6_engine=unified_v6_engine,
        atlantean_monitor=atlantean_monitor,
        mega14_engine=mega14_engine,
        oppenheimer_engine=opp_engine,
        tesla_analysis_blob=tesla_analysis_blob,
        truth_system=truth_system,
        coherence_export_fn=coherence_export_fn,
        alignment_engine=alignment_engine,
        tattered_past=tattered_past,
        biblical_orchestrator=biblical_orchestrator,
        omega_gateway=omega_gateway,
        consciousness_engine=consciousness_engine,
        config=config
    )

    return orchestrator

# ---------------------------------------------------------------------------
# Main Execution with Enhanced Features
# ---------------------------------------------------------------------------
async def main():
    # Load configuration from environment
    config = OmniStackConfig.from_env()
    
    # Initialize repository and registry
    repo = ProvenanceRepository("./veritas_repository")
    registry = ModuleRegistry(repository=repo)

    # Load advanced consciousness source from the attached file
    try:
        with open("ADVANCED_CONSCIOUSNESS-1.txt", "r", encoding="utf-8") as f:
            advanced_consciousness_source = f.read()
    except FileNotFoundError:
        log.warning("ADVANCED_CONSCIOUSNESS-1.txt not found, using empty source")
        advanced_consciousness_source = "# Advanced Consciousness Module - Source not found"

    # Define all module sources
    named_sources = {
        "atlantean_tartaria_continuum": os.getenv("SRC_ATLANTEAN", ""),
        "coherence_module": os.getenv("SRC_COHERENCE_MODULE", ""),
        "coherence_alignment_ecosystem": os.getenv("SRC_ALIGNMENT", ""),
        "biblical_analysis_module": os.getenv("SRC_BIBLICAL", ""),
        "autonomous_cognition_protocol": os.getenv("SRC_AUTONOMOUS", ""),
        "westinghouse_tesla_conflict_output": os.getenv("SRC_TESLA_CONFLICT", ""),
        "THEORY_OF_EVERYTHING": os.getenv("SRC_TOE", ""),
        "THE_OPPENHEIMER_COEFFICIENT": os.getenv("SRC_OPP", ""),
        "three_stack": os.getenv("SRC_3STACK", ""),
        "PHYSICS": os.getenv("SRC_PHYSICS", ""),
        "tattered_past_package": os.getenv("SRC_TATTERED", ""),
        "UNIFIED_V6": os.getenv("SRC_UNIFIED_V6", ""),
        "MEGA14": os.getenv("SRC_MEGA14", ""),
        "advanced_consciousness_module": advanced_consciousness_source
    }

    # Ingest all sources
    registry.ingest_sources(named_sources)

    # Initialize orchestrator and wire all runtimes
    orchestrator = Orchestrator(registry=registry, config=config)
    await wire_all_runtimes(orchestrator, registry, config)

    # Execute with comprehensive parameters
    params = {
        "user_id": "veritas_user",
        "physics_states": config.physics_states,
        "alignment_tolerance": config.alignment_tolerance,
        "alignment_iterations": config.max_alignment_iterations,
        "tattered_inquiry": "Ancient advanced civilizations",
        "biblical_texts": [
            "And the waters prevailed exceedingly upon the earth...",
            "And there shall be signs in the sun, and in the moon, and in the stars..."
        ],
        "conversation_id": "conv_omni_001"
    }

    # Execute the full omni-stack analysis
    result = await orchestrator.execute_all(params)
    print(safe_json(result))

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