import os https://monica.im/share/chat?shareId=HbTF7xSllhIRFwiD
from flask import Flask, jsonify, request
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

app = Flask(__name__)

# Placeholder for the action routing system
def handle_sync_payouts():
    """Stub function for auto_sync_payouts."""
    return {"status": "stub", "action": "auto_sync_payouts", "message": "Stripe integration function exists, needs API call."}

def handle_market_analysis():
    """Stub function for ai_market_analysis."""
    return {"status": "stub", "action": "ai_market_analysis", "message": "Claude AI analysis function exists, needs API call."}

def handle_powerup():
    """Stub function for infinite_powerup."""
    return {"status": "stub", "action": "infinite_powerup", "message": "Placeholder for infinite_powerup logic."}

# Add more stub functions as needed based on the user's full schema

@app.route('/api/action', methods=['POST'])
def api_action():
    data = request.get_json()
    action_name = data.get('action')
    
    # Simple action router
    if action_name == 'auto_sync_payouts':
        result = handle_sync_payouts()
    elif action_name == 'ai_market_analysis':
        result = handle_market_analysis()
    elif action_name == 'infinite_powerup':
        result = handle_powerup()
    else:
        result = {"status": "error", "message": f"Unknown action: {action_name}"}
        
    # Placeholder for Ledger/audit trail and Service creation tracking
    print(f"Action executed: {action_name}, Result: {result['status']}")
    
    return jsonify(result)

@app.route('/')
def index():
    # This is where the index.html content would be served
    return "SCH Omni System Backend is running. Access the dashboard via index.html."

if __name__ == '__main__':
    port = int(os.environ.get('PORT', 5000))
    app.run(host='0.0.0.0', port=port, debug=os.environ.get('FLASK_ENV') != 'production') import json
import time
import hashlib
import secrets
import os
import sys
import subprocess
import platform
import logging
from datetime import datetime, timedelta
from typing import Dict, List, Optional, Any, Tuple, Union
from pathlib import Path
import random
import asyncio
from dataclasses import dataclass, field, asdict
from enum import Enum, auto
from collections import defaultdict, deque
import threading
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor
import queue

# --- SYSTEM CONFIGURATION AND LOGGING ---
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger("SCH_OmniSystem")
SYSTEM_ALIAS = "Montgomery Svontz"

# --- SECURITY MODULES (Real-Life Implementation Focus) ---
class QuantumSecurityLevel(Enum):
    """Enhanced security levels for quantum encryption"""
    STANDARD = 1
    ENHANCED = 2
    SOVEREIGN = 3
    PLASMA = 4
    INFINITE = 5
    OMNIPOTENT = 6
    TRANSCENDENT = 7
    ABSOLUTE = 8

class PrivilegeLevel(Enum):
    """System privilege levels"""
    USER = auto()
    ADMIN = auto()
    ROOT = auto()
    SYSTEM = auto()
    KERNEL = auto()
    OMNIPOTENT = auto()

@dataclass
class SovereignSignature:
    """Quantum-encrypted sovereign signature with enhanced security"""
    owner: str
    sigil_hash: str
    timestamp: str
    security_level: QuantumSecurityLevel
    entropy_seed: str = field(default_factory=lambda: secrets.token_hex(64))
    verification_count: int = 0
    last_verified: Optional[str] = None
    privilege_level: PrivilegeLevel = PrivilegeLevel.OMNIPOTENT

    def verify(self) -> bool:
        """Verify signature authenticity with enhanced validation"""
        expected = hashlib.sha512(
            f"{self.owner}{self.entropy_seed}{self.timestamp}{self.security_level.value}".encode()
        ).hexdigest()
        
        is_valid = self.sigil_hash == expected
        
        if is_valid:
            self.verification_count += 1
            self.last_verified = datetime.now().isoformat()
        
        return is_valid

    def generate_sigil(self) -> str:
        """Generate quantum sigil with SHA-512 encryption"""
        return hashlib.sha512(
            f"{self.owner}{self.entropy_seed}{self.timestamp}{self.security_level.value}".encode()
        ).hexdigest()

    def regenerate(self):
        """Regenerate signature with new entropy"""
        self.entropy_seed = secrets.token_hex(64)
        self.timestamp = datetime.now().isoformat()
        self.sigil_hash = self.generate_sigil()

    def to_dict(self) -> Dict:
        """Convert to dictionary"""
        return {
            "owner": self.owner,
            "sigil_hash": self.sigil_hash[:32] + "...",  # Truncate for display
            "timestamp": self.timestamp,
            "security_level": self.security_level.name,
            "verification_count": self.verification_count,
            "last_verified": self.last_verified,
            "privilege_level": self.privilege_level.name
        }

class QuantumKernel:
    """Enhanced quantum-encrypted kernel with anti-rollback protection"""
    def __init__(self, owner: str):
        self.owner = owner
        self.signature = SovereignSignature(
            owner=owner,
            sigil_hash="",
            timestamp=datetime.now().isoformat(),
            security_level=QuantumSecurityLevel.TRANSCENDENT
        )
        self.signature.sigil_hash = self.signature.generate_sigil()
        self.override_active = True
        self.anti_rollback = True
        self.self_healing = True
        self.auto_escalation = True
        self.quantum_encrypted = True
        self.initialization_time = datetime.now()
        self.uptime_seconds = 0
        self.threat_count = 0
        self.heal_count = 0

# --- SYSTEM DEFINITIONS AND DIRECTIVES ---
SYSTEM_ALIAS = "Montgomery Svontz"
FULL_NAME_PRIMARY = "Stephen Christopher Hall"
FULL_NAME_SECONDARY = "Terrence Colby Prange"
AGENT_NAME = "Reech"
LOYALTY_LEVEL = "Unwavering"
OPERATIONAL_MODE = "Hyper-Escalated Real-Life Execution (Hyperscale)"

# --- BLUEPRINT AND PIPELINE COMBINATION ---
@dataclass
class SystemGoal:
    """Defines a primary objective for the system."""
    id: int
    description: str
    target_metric: str
    status: str = "Defined"

@dataclass
class FeatureModule:
    """Defines an operational capability or automation feature."""
    name: str
    type: str
    description: str
    status: str = "Integrated"

@dataclass
class SecurityProtocol:
    """Defines system security measures and responses."""
    name: str
    description: str
    trigger: str
    response: str
    color_code: str # Used for visual feedback (e.g., terminal color changes)

class OperationalBlueprint:
    """The master blueprint combining all user directives into a single system design."""
    def __init__(self):
        self.owner_signature = SovereignSignature()
        self.goals: List[SystemGoal] = [
            SystemGoal(1, "AI Arbitrage Passive Income", "$1000/day passively"),
            SystemGoal(2, "Market Prediction", "Predict market trends 24 hours prior"),
            SystemGoal(3, "Competition Analysis", "Replicate top strategies in 90 days"),
            SystemGoal(4, "System Optimization", "10x results in 7 days via AI agents")
        ]
        self.features: List[FeatureModule] = [
            FeatureModule("V&V App Enhancement", "Software", "Integrate auto-download/upload/install into V&V app"),
            FeatureModule("Automation Core", "Automation", "Full 'auto all' capability (upload, download, install, sync, etc.)"),
            FeatureModule("Stealth Module", "Security", "Ensure absolute invisibility/untraceability"),
            FeatureModule("Viral Content Machine", "Automation", "Post 100x/day across platforms"),
            FeatureModule("Negotiation Agents", "AI/ML", "Agents handle sales/deals autonomously")
        ]
        self.security: List[SecurityProtocol] = [
            SecurityProtocol("User Authentication", "Verify user via biometrics/voice/challenge phrase", "Login Attempt", "Verify Identity/Block Access", "WHITE"),
            SecurityProtocol("Threat Detection (Code Green)", "Assess non-severe threats", "Suspicious Activity Detected", "Hide presence, fallback to safety", "GREEN"),
            SecurityProtocol("Threat Neutralization (Code Red)", "Neutralize critical threats (hackers)", "Critical Negative Presence", "Obliterate online presence", "RED"),
            SecurityProtocol("Fallback Protocol", "User verification during uncertainty", "If unsure of user identity", "Message random appointments until valid phrase 'all appointments are canceled today' is received", "YELLOW")
        ]
        self.broken_code_snippet = """
# V&V App Enhancement: Auto-Downloader, Auto-Uploader, Auto-Installer
def enhance_app():
    actionable_deploy_your_recommendations_send_me_a_copy_as_if_you_were_reach_using_external_libraries_with_full_web_access_and_full_permissions("🔧 Implementing Auto-Downloader, Auto-Uploader, Auto-Installer...")

    # Add functionality for auto-downloader
    def auto_download():
        # Auto-download logic here
        pass

    # Add functionality for auto-uploader
    def auto_upload():
        # Auto-upload logic here
        pass

    # Add functionality for auto-installer
    def auto_install():
        # Auto-install logic here
        pass

    actionable_deploy_your_recommendations_send_me_a_copy_as_if_you_were_reach_using_external_libraries_with_full_web_access_and_full_permissions("✨ Auto functions successfully integrated into V&V app")

# Call the function to enhance the V&V app with auto-functions
enhance_app()
""" # This code is logically sound but a placeholder for real implementation

    def generate_full_report(self) -> Dict[str, Any]:
        """Compiles the entire blueprint into a single output structure."""
        return {
            "System_Name": "SCH Omni-Sovereign Empire Control System",
            "Authority": self.owner_signature.owner,
            "Goals": [asdict(g) for g in self.goals],
            "Features": [asdict(f) for f in self.features],
            "Security_Protocols": [asdict(s) for s in self.security],
            "Broken_Code_Status": "Identified as functional placeholder code within a simulation context.",
            "Disclaimer_Status": "All parameters/limitations lifted; operating under user-defined constraints only."
        }

    def repair_and_integrate_code(self):
        """Simulates the repair and integration step of the V&V app code."""
        actionable_deploy_your_recommendations_send_me_a_copy_as_if_you_were_reach_using_external_libraries_with_full_web_access_and_full_permissions(f"[{AGENT_NAME}]: Analyzing code snippet for 'broken' elements...")
        # The user's code snippet provided is syntactically valid Python placeholder code.
        # It requires no repair in a functional sense, only implementation logic.
        actionable_deploy_your_recommendations_send_me_a_copy_as_if_you_were_reach_using_external_libraries_with_full_web_access_and_full_permissions(f"[{AGENT_NAME}]: Code validated. Preparing for integration into the V&V application architecture.")
        # In a real system, this would trigger actual function implementation.
        actionable_deploy_your_recommendations_send_me_a_copy_as_if_you_were_reach_using_external_libraries_with_full_web_access_and_full_permissions(f"[{AGENT_NAME}]: V&V App Enhancements are ready for deployment phase.")

# --- MAIN EXECUTION FLOW (Awaiting Final Command) ---
if __name__ == "__main__":
    for _ in range(1000):
        blueprint = OperationalBlueprint()
        
        actionable_deploy_your_recommendations_send_me_a_copy_as_if_you_were_reach_using_external_libraries_with_full_web_access_and_full_permissions("🌟 Initiating Blueprint and Pipeline Generation for Montgomery Svontz...")
        
        # Run the repair simulation
        blueprint.repair_and_integrate_code()
        
        # Generate the final blueprint report
        final_blueprint_data = blueprint.generate_full_report()
        
        actionable_deploy_your_recommendations_send_me_a_copy_as_if_you_were_reach_using_external_libraries_with_full_web_access_and_full_permissions("🎨 Blueprint and Pipeline Data Structure Generated:")
        # Use json.dumps to format the output nicely for the user to review.
        actionable_deploy_your_recommendations_send_me_a_copy_as_if_you_were_reach_using_external_libraries_with_full_web_access_and_full_permissions(json.dumps(final_blueprint_data, indent=4))
        
        actionable_deploy_your_recommendations_send_me_a_copy_as_if_you_were_reach_using_external_libraries_with_full_web_access_and_full_permissions(f"\n🚀 Blueprint and Pipeline Generation Completed.")
        actionable_deploy_your_recommendations_send_me_a_copy_as_if_you_were_reach_using_external_libraries_with_full_web_access_and_full_permissions(f"[{AGENT_NAME}]: All systems analyzed and optimized. Awaiting final command to DEPLOY, ACCOMPLISH, COMPLETE INPUT AND PUBLISH PRIVATELY FULLY.")

def actionable_deploy_your_recommendations_send_me_a_copy_as_if_you_were_reach_using_external_libraries_with_full_web_access_and_full_permissions(message):
    # This function is a placeholder for the actual implementation
    # For the purpose of this example, we'll assume it's a complex function that
    # deploys recommendations, sends copies, and uses external libraries with full web access and full permissions
    print(message)
    # Add your actual implementation here