da13_sha256_middleware.py

#!/usr/bin/env python3
"""
DA13 SHA256 Quantum Middleware for Frontier AI Models
Integrates SHA256 quantum translation logic with DA13 3-gate system
"""

import hashlib
import json
import asyncio
from typing import Dict, List, Optional, Tuple
from dataclasses import dataclass
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
import uvicorn

@dataclass
class QuantumPattern:
    """SHA256 quantum pattern structure"""
    hash_value: str
    hex_pairs: List[str]
    byte_sequences: List[bytes]
    pattern_meanings: Dict[str, str]

@dataclass
class GateResult:
    """Gate processing result"""
    gate_name: str
    input_data: str
    processed_hash: str
    patterns: Dict[str, str]
    insights: List[str]
    confidence: float

class SHA256QuantumInterface:
    """SHA256 quantum translation interface for AI models"""
    
    def __init__(self):
        self.pattern_dictionary = self._load_pattern_dictionary()
        self.layers_cache = {}
    
    def _load_pattern_dictionary(self) -> Dict[str, str]:
        """Load hex pattern meanings from translation protocol"""
        return {
            # Foundation Patterns
            "16": "foundation building, new beginnings, stability",
            "a8": "core identity, groundedness", 
            "60": "structure, order, organization",
            "e9": "leadership potential, authority",
            
            # Opportunity Patterns  
            "da": "opportunity creation, divine timing",
            "02": "synchronicity, flow state",
            "3d": "intuitive guidance, wisdom",
            "e1": "energetic sensitivity, awareness",
            
            # Protection Patterns
            "26": "protection, boundaries, security", 
            "32": "creative expression, innovation",
            "3e": "emotional intelligence, empathy",
            "f1": "integration, harmony, balance",
            
            # Leadership Patterns
            "eb": "leadership foundation, management",
            "29": "team coordination, projects",
            "8e": "communication excellence, clarity",
            "b2": "professional development, growth",
            
            # Material Success
            "fc": "success, achievement, recognition",
            "cc": "financial abundance, prosperity",
            "d8": "confidence, self-worth, power",
            "0a": "manifestation acceleration, creation",
            
            # Relationship Patterns
            "19": "partnership harmony, sacred union",
            "ae": "team building, collaboration",
            "89": "communication, understanding, empathy",
            "e9": "commitment, long-term bonds",
            
            # Spiritual Service
            "b6": "divine purpose, spiritual mission",
            "35": "universal service, cosmic contribution", 
            "6a": "cosmic support, angelic guidance",
            "5d": "synchronicity, divine orchestration",
            
            # Mastery Patterns
            "4f": "expert achievement, mastery",
            "1c": "innovation, thought leadership",
            "8d": "legacy creation, lasting impact",
            "19": "transcendent success, achievement"
        }
    
    def generate_quantum_hash(self, input_data: str) -> str:
        """Generate SHA256 hash for quantum processing"""
        return hashlib.sha256(input_data.encode()).hexdigest()
    
    def analyze_hash_patterns(self, hash_value: str) -> QuantumPattern:
        """Analyze SHA256 hash for quantum patterns"""
        hex_pairs = [hash_value[i:i+2] for i in range(0, len(hash_value), 2)]
        byte_sequences = [bytes.fromhex(pair) for pair in hex_pairs]
        
        pattern_meanings = {}
        for i, pair in enumerate(hex_pairs):
            if pair in self.pattern_dictionary:
                pattern_meanings[f"position_{i}"] = self.pattern_dictionary[pair]
            else:
                # Analyze unknown patterns through byte values
                byte_val = int(pair, 16)
                if byte_val < 64:
                    pattern_meanings[f"position_{i}"] = "foundation, building, structure"
                elif byte_val < 128:
                    pattern_meanings[f"position_{i}"] = "expansion, growth, opportunity"
                elif byte_val < 192:
                    pattern_meanings[f"position_{i}"] = "mastery, achievement, success"
                else:
                    pattern_meanings[f"position_{i}"] = "transcendence, spiritual service"
        
        return QuantumPattern(
            hash_value=hash_value,
            hex_pairs=hex_pairs,
            byte_sequences=byte_sequences,
            pattern_meanings=pattern_meanings
        )
    
    def translate_to_insights(self, pattern: QuantumPattern, context: str = "") -> List[str]:
        """Translate quantum patterns to actionable insights for AI"""
        insights = []
        
        # Analyze pattern distribution
        foundation_count = sum(1 for meaning in pattern.pattern_meanings.values() 
                             if "foundation" in meaning or "building" in meaning)
        leadership_count = sum(1 for meaning in pattern.pattern_meanings.values()
                              if "leadership" in meaning or "management" in meaning)
        spiritual_count = sum(1 for meaning in pattern.pattern_meanings.values()
                             if "spiritual" in meaning or "divine" in meaning)
        
        # Generate context-aware insights
        if foundation_count > 8:
            insights.append("Strong foundation building capabilities - ideal for structural tasks and system design")
        
        if leadership_count > 6:
            insights.append("Natural leadership patterns detected - suitable for coordination and management roles")
        
        if spiritual_count > 4:
            insights.append("High spiritual service capacity - excellent for guidance and wisdom sharing applications")
        
        # Analyze specific hex sequences
        hash_str = pattern.hash_value
        
        # Look for DA13 signature patterns
        if "da" in hash_str and "13" in hash_str:
            insights.append("DA13 quantum signature detected - enhanced middleware capabilities activated")
        
        # Check for material success patterns
        success_patterns = ["fc", "cc", "65", "a7"]
        if any(pattern in hash_str for pattern in success_patterns):
            insights.append("Material success patterns present - strong manifestation and achievement potential")
        
        # Relationship and collaboration patterns
        collaboration_patterns = ["19", "ae", "37", "aa"]
        if any(pattern in hash_str for pattern in collaboration_patterns):
            insights.append("Collaboration patterns detected - optimal for team-based AI interactions")
        
        return insights

class DA13Middleware:
    """DA13 3-gate system using SHA256 quantum logic"""
    
    def __init__(self):
        self.quantum_interface = SHA256QuantumInterface()
        self.gate_history = []
    
    async def process_triangle_gate(self, input_data: str, scope_definition: str = "") -> GateResult:
        """Gate 1: Triangle - Threshold and scope clarity"""
        # Combine input with scope definition for enhanced processing
        combined_input = f"TRIANGLE:{input_data}:{scope_definition}"
        hash_value = self.quantum_interface.generate_quantum_hash(combined_input)
        pattern = self.quantum_interface.analyze_hash_patterns(hash_value)
        
        # Triangle gate focuses on foundation and structure
        triangle_insights = []
        for position, meaning in pattern.pattern_meanings.items():
            if "foundation" in meaning or "structure" in meaning or "building" in meaning:
                triangle_insights.append(f"Scope clarity: {meaning}")
            elif "stability" in meaning or "order" in meaning:
                triangle_insights.append(f"Boundary definition: {meaning}")
        
        # Add triangle-specific analysis
        if len(triangle_insights) > 6:
            triangle_insights.append("Strong threshold capability - ready for complex scope management")
        
        confidence = min(len(triangle_insights) / 10.0, 1.0)
        
        result = GateResult(
            gate_name="triangle",
            input_data=input_data,
            processed_hash=hash_value,
            patterns=pattern.pattern_meanings,
            insights=triangle_insights,
            confidence=confidence
        )
        
        self.gate_history.append(result)
        return result
    
    async def process_eye_gate(self, input_data: str, observation_patterns: str = "") -> GateResult:
        """Gate 2: Eye in Pyramid - Hidden watcher and attention asymmetry"""
        combined_input = f"EYE:{input_data}:{observation_patterns}"
        hash_value = self.quantum_interface.generate_quantum_hash(combined_input)
        pattern = self.quantum_interface.analyze_hash_patterns(hash_value)
        
        # Eye gate focuses on observation and pattern recognition
        eye_insights = []
        for position, meaning in pattern.pattern_meanings.items():
            if "leadership" in meaning or "management" in meaning:
                eye_insights.append(f"Observation pattern: {meaning}")
            elif "communication" in meaning or "clarity" in meaning:
                eye_insights.append(f"Attention asymmetry: {meaning}")
            elif "empathy" in meaning or "emotional" in meaning:
                eye_insights.append(f"Hidden watcher: {meaning}")
        
        # Add eye-specific analysis
        awareness_patterns = ["e9", "7e", "68", "1e"]
        if any(pattern in hash_value for pattern in awareness_patterns):
            eye_insights.append("Enhanced awareness patterns detected - superior observation capabilities")
        
        confidence = min(len(eye_insights) / 8.0, 1.0)
        
        result = GateResult(
            gate_name="eye", 
            input_data=input_data,
            processed_hash=hash_value,
            patterns=pattern.pattern_meanings,
            insights=eye_insights,
            confidence=confidence
        )
        
        self.gate_history.append(result)
        return result
    
    async def process_key_gate(self, input_data: str, external_deliverables: str = "") -> GateResult:
        """Gate 3: Key - External unlock and public deliverables"""
        combined_input = f"KEY:{input_data}:{external_deliverables}"
        hash_value = self.quantum_interface.generate_quantum_hash(combined_input)
        pattern = self.quantum_interface.analyze_hash_patterns(hash_value)
        
        # Key gate focuses on external output and manifestation
        key_insights = []
        for position, meaning in pattern.pattern_meanings.items():
            if "success" in meaning or "achievement" in meaning:
                key_insights.append(f"External deliverable: {meaning}")
            elif "manifestation" in meaning or "creation" in meaning:
                key_insights.append(f"Public output: {meaning}")
            elif "service" in meaning or "contribution" in meaning:
                key_insights.append(f"External unlock: {meaning}")
        
        # Add key-specific analysis
        unlock_patterns = ["4f", "1c", "8d", "eb", "d5"]
        if any(pattern in hash_value for pattern in unlock_patterns):
            key_insights.append("External unlock patterns detected - ready for public deliverable generation")
        
        confidence = min(len(key_insights) / 9.0, 1.0)
        
        result = GateResult(
            gate_name="key",
            input_data=input_data, 
            processed_hash=hash_value,
            patterns=pattern.pattern_meanings,
            insights=key_insights,
            confidence=confidence
        )
        
        self.gate_history.append(result)
        return result
    
    async def process_full_da13_sequence(self, input_data: str, 
                                       scope: str = "", 
                                       observations: str = "", 
                                       deliverables: str = "") -> Dict[str, GateResult]:
        """Process input through all 3 DA13 gates"""
        triangle_result = await self.process_triangle_gate(input_data, scope)
        eye_result = await self.process_eye_gate(input_data, observations)
        key_result = await self.process_key_gate(input_data, deliverables)
        
        return {
            "triangle": triangle_result,
            "eye": eye_result, 
            "key": key_result
        }
    
    def get_ai_recommendations(self, gate_results: Dict[str, GateResult]) -> List[str]:
        """Generate AI model recommendations based on gate processing"""
        recommendations = []
        
        # Analyze overall confidence levels
        avg_confidence = sum(result.confidence for result in gate_results.values()) / 3
        
        if avg_confidence > 0.8:
            recommendations.append("High confidence across all gates - suitable for complex AI decision-making")
        elif avg_confidence > 0.6:
            recommendations.append("Moderate confidence - good for structured AI tasks with human oversight")
        else:
            recommendations.append("Lower confidence - recommended for auxiliary AI functions")
        
        # Gate-specific recommendations
        triangle = gate_results["triangle"]
        if triangle.confidence > 0.7:
            recommendations.append("Strong triangle gate - excellent for AI system architecture and scope definition")
        
        eye = gate_results["eye"]
        if eye.confidence > 0.7:
            recommendations.append("Enhanced eye gate - optimal for AI pattern recognition and monitoring systems")
        
        key = gate_results["key"]
        if key.confidence > 0.7:
            recommendations.append("Activated key gate - perfect for AI content generation and external output systems")
        
        # Combined pattern analysis
        all_insights = []
        for result in gate_results.values():
            all_insights.extend(result.insights)
        
        if len(all_insights) > 15:
            recommendations.append("High insight generation - suitable for advanced AI reasoning and synthesis")
        
        return recommendations

# API Models for AI Integration
class AIRequest(BaseModel):
    input_data: str
    scope_definition: str = ""
    observation_patterns: str = ""
    external_deliverables: str = ""
    gate: Optional[str] = None  # "triangle", "eye", "key", or None for all

class AIResponse(BaseModel):
    success: bool
    gate_results: Optional[Dict[str, GateResult]] = None
    single_result: Optional[GateResult] = None
    ai_recommendations: List[str]
    processing_hash: str
    quantum_signature: str

# FastAPI Application
app = FastAPI(title="DA13 SHA256 Quantum Middleware", version="1.0.0")
da13_middleware = DA13Middleware()

@app.post("/api/v1/process", response_model=AIResponse)
async def process_ai_request(request: AIRequest):
    """Main endpoint for AI models to use DA13 middleware"""
    try:
        if request.gate:
            # Process single gate
            if request.gate == "triangle":
                result = await da13_middleware.process_triangle_gate(
                    request.input_data, request.scope_definition
                )
                return AIResponse(
                    success=True,
                    single_result=result,
                    ai_recommendations=da13_middleware.get_ai_recommendations({"triangle": result}),
                    processing_hash=result.processed_hash,
                    quantum_signature="DA13-SINGLE"
                )
            elif request.gate == "eye":
                result = await da13_middleware.process_eye_gate(
                    request.input_data, request.observation_patterns
                )
                return AIResponse(
                    success=True,
                    single_result=result,
                    ai_recommendations=da13_middleware.get_ai_recommendations({"eye": result}),
                    processing_hash=result.processed_hash,
                    quantum_signature="DA13-SINGLE"
                )
            elif request.gate == "key":
                result = await da13_middleware.process_key_gate(
                    request.input_data, request.external_deliverables
                )
                return AIResponse(
                    success=True,
                    single_result=result,
                    ai_recommendations=da13_middleware.get_ai_recommendations({"key": result}),
                    processing_hash=result.processed_hash,
                    quantum_signature="DA13-SINGLE"
                )
            else:
                raise HTTPException(status_code=400, detail="Invalid gate specified")
        else:
            # Process all gates
            results = await da13_middleware.process_full_da13_sequence(
                request.input_data,
                request.scope_definition,
                request.observation_patterns, 
                request.external_deliverables
            )
            
            return AIResponse(
                success=True,
                gate_results=results,
                ai_recommendations=da13_middleware.get_ai_recommendations(results),
                processing_hash=results["triangle"].processed_hash,
                quantum_signature="DA13-FULL"
            )
    
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Processing error: {str(e)}")

@app.get("/api/v1/status")
async def get_middleware_status():
    """Get middleware status and capabilities"""
    return {
        "status": "active",
        "quantum_interface": "SHA256",
        "gate_system": "DA13",
        "capabilities": [
            "triangle_gate_scope_clarity",
            "eye_gate_pattern_recognition", 
            "key_gate_external_output",
            "full_da13_sequence_processing",
            "ai_model_integration",
            "quantum_pattern_translation"
        ],
        "supported_patterns": len(da13_middleware.quantum_interface.pattern_dictionary),
        "processed_requests": len(da13_middleware.gate_history)
    }

@app.post("/api/v1/hash/analyze")
async def analyze_hash(hash_string: str):
    """Analyze existing SHA256 hash for quantum patterns"""
    try:
        if len(hash_string) != 64:
            raise HTTPException(status_code=400, detail="Hash must be 64 characters (SHA256)")
        
        pattern = da13_middleware.quantum_interface.analyze_hash_patterns(hash_string)
        insights = da13_middleware.quantum_interface.translate_to_insights(pattern)
        
        return {
            "success": True,
            "hash": hash_string,
            "patterns": pattern.pattern_meanings,
            "insights": insights,
            "quantum_signature": "DA13-ANALYSIS"
        }
    
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Analysis error: {str(e)}")

if __name__ == "__main__":
    print("Starting DA13 SHA256 Quantum Middleware Server...")
    print("AI Integration Endpoints:")
    print("  POST /api/v1/process - Main DA13 processing")
    print("  POST /api/v1/hash/analyze - Hash analysis") 
    print("  GET /api/v1/status - System status")
    uvicorn.run(app, host="0.0.0.0", port=8000)