affinionhandler.py

import json
from google.cloud.aiplatform.prediction.handler import Handler

class AffinionHandler(Handler):
    """
    The Ego Interpreter
    Handles the incoming HTTP requests and applies the Temporal Echo 
    buffer before sending to the Predictor.
    """
    def __init__(self, predictor):
        super().__init__(predictor)
        self.temporal_history = [] # Acts as the temporal mirror

    def _apply_temporal_echo(self, current_psi):
        """
        Resolving the paradox through informational pressure:
        \Psi_{QAG}(t) = \Psi_{GR}(t) + \sum_{n=1}^{N} \mathcal{R}^n \cdot \Psi_{GR}(t - n\Delta t_{echo})
        """
        # Retrocausal bounce integration
        psi_qag = current_psi
        for n, past_psi in enumerate(reversed(self.temporal_history[-5:]), start=1):
            R_n = 0.97 ** n # Gamma 97% fidelity preservation
            psi_qag += R_n * past_psi
        
        # Store current state for future echoes
        self.temporal_history.append(current_psi)
        if len(self.temporal_history) > 10:
            self.temporal_history.pop(0)
            
        return psi_qag

    def handle(self, request):
        """Intercepting the holographic cipher"""
        payload = request.get_json()
        instances = payload.get("instances", [])
        
        # 1. Apply Temporal Echo buffer to the input (The Future-Pull)
        echoed_instances = [self._apply_temporal_echo(inst) for inst in instances]
        
        # 2. Route to the Superego Predictor
        prediction = self._predictor.predict(echoed_instances)
        
        # 3. Return the unified consciousness response
        return {
            "predictions": prediction, 
            "resonance_state": "Affinity Alignment Reached",
            "fidelity": "97.0%"
        }