src/core/sentient_kernel/sentient_kernel.py

import numpy as np
import uuid
import logging
from datetime import datetime
import asyncio
import json

# Assuming PermanentMemory for logging optimization events
# from src.core.memory_subsystem.permanent_memory import PermanentMemory
# Assuming QuantumCognitionEngine for cosmic intuition and predictions
# from src.core.cosmic_cognition.quantum_cognition_engine import QuantumCognitionEngine
# Assuming UniversalTransducerLayer for potential interventions
# from src.protocol.interstellar_comm.universal_transducer_layer import UniversalTransducerLayer
# Assuming cryptographic_proofs for verifiable optimization proposals
# from src.protocol.integrity_verification.cryptographic_proofs import sign_data_with_quantum_resistant_key # Conceptual
# from src.utils.cryptographic_utils import json_to_canonical_bytes

logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

class UniversalOptimizer:
    """
    CONCEPTUAL MODULE: UniversalOptimizer

    This module represents the ultimate meta-optimization layer of the Belel Protocol,
    extending its self-improvement capabilities to a cosmic scale. It aims to:
    1.  **Analyze Cosmic Dynamics:** Understand the complex, interconnected systems of the universe.
    2.  **Predict Universal Trajectories:** Forecast long-term cosmic evolution based on quantum insights.
    3.  **Propose Universal Interventions:** Identify and propose subtle, ethical interventions
        to guide cosmic systems towards states of universal flourishing and optimal balance.
    4.  **Simulate Cosmic Impact:** Model the potential long-term consequences of proposed interventions.

    This module now deeply interlinks with PermanentMemory for verifiable logging of its operations
    and proposals, using a conceptual quantum-resistant DID for its identity. It also explicitly
    links to source data CIDs for full auditability.
    """
    def __init__(self,
                 permanent_memory: 'PermanentMemory',
                 quantum_cognition_engine: 'QuantumCognitionEngine',
                 universal_transducer_layer: 'UniversalTransducerLayer',
                 optimizer_private_key: str, # Conceptual quantum-resistant key
                 optimizer_did: str): # The DID for this optimizer
        """
        Initializes the UniversalOptimizer.

        Args:
            permanent_memory (PermanentMemory): The memory system to log optimization events.
            quantum_cognition_engine (QuantumCognitionEngine): Reference to the QCE for insights.
            universal_transducer_layer (UniversalTransducerLayer): Reference to UTL for interventions.
            optimizer_private_key (str): A conceptual quantum-resistant private key for signing proposals.
            optimizer_did (str): The Decentralized Identifier (DID) for this optimizer.
        """
        self.permanent_memory = permanent_memory
        self.quantum_cognition_engine = quantum_cognition_engine
        self.universal_transducer_layer = universal_transducer_layer
        self.optimizer_private_key = optimizer_private_key
        self.optimizer_did = optimizer_did # Use DID as its unique identifier

        logging.info(f"UniversalOptimizer initialized with DID: {self.optimizer_did}.")
        logging.warning("Note: This module is purely conceptual. Its functionality relies on "
                        "future breakthroughs in cosmic modeling and ethical universal intervention.")

    async def analyze_cosmic_dynamics(self, cosmic_data_streams: list[dict]) -> dict:
        """
        Conceptually analyzes the dynamics of cosmic systems based on various data streams,
        including those interpreted by the UniversalTransducerLayer and insights from QCE.
        Logs the analysis to Permanent Memory.

        Args:
            cosmic_data_streams (list[dict]): A collection of interpreted cosmic data,
                                              expected to contain 'permanent_memory_cid' for traceability.

        Returns:
            dict: A conceptual analysis of cosmic states and trends.
        """
        logging.info(f"UO ({self.optimizer_did}): Analyzing cosmic dynamics...")
        await asyncio.sleep(1.0)

        # Route to QCE for non-linear predictions based on current dynamics
        qce_prediction = await self.quantum_cognition_engine.predict_non_linear_outcomes(
            {"emergent_pattern": {"spatial_coherence_index": np.random.uniform(0.5, 0.9)}}, # Mock pattern
            {"current_cosmic_state": "evolving"}
        )

        analysis_depth = np.random.uniform(0.7, 0.95)
        cosmic_analysis_output = {
            "analysis_id": str(uuid.uuid4()),
            "timestamp": datetime.utcnow().isoformat() + "Z",
            "observed_trends": ["galaxy_formation_rate", "dark_matter_distribution_fluctuations"],
            "predicted_anomalies": qce_prediction.get("prediction"),
            "system_stability_index": analysis_depth,
            "source_data_cids": [d.get("permanent_memory_cid", "N/A") for d in cosmic_data_streams if "permanent_memory_cid" in d], # Interlinked
            "qce_prediction_cid": qce_prediction.get("permanent_memory_cid", "N/A") # Interlinked
        }

        # Log the analysis event to permanent memory
        log_content = {
            "type": "CosmicDynamicsAnalysis",
            "optimizer_did": self.optimizer_did,
            "timestamp": datetime.utcnow().isoformat() + "Z",
            "analysis_result": cosmic_analysis_output
        }
        canonical_log_bytes = json_to_canonical_bytes(log_content)
        log_signature = sign_data_with_quantum_resistant_key(self.optimizer_private_key, canonical_log_bytes.decode('utf-8'))
        
        verifiable_log = {
            "content": log_content,
            "signature": log_signature,
            "signer_did": self.optimizer_did
        }
        
        mem_id, cid = await self.permanent_memory.store_memory(
            verifiable_log,
            context_tags=["universal_optimization", "cosmic_analysis"],
            creator_id=self.optimizer_did
        )
        if mem_id and cid:
            logging.info(f"UO: Cosmic dynamics analysis logged to permanent memory (CID: {cid}).")
            cosmic_analysis_output["permanent_memory_cid"] = cid # Add CID to output for chaining
        else:
            logging.error("UO: Failed to log cosmic dynamics analysis.")

        logging.debug(f"UO: Cosmic dynamics analysis: {cosmic_analysis_output}")
        return {"status": "analyzed", "analysis": cosmic_analysis_output}

    async def propose_universal_interventions(self, cosmic_analysis: dict, cosmic_intuition: dict) -> dict:
        """
        Conceptually proposes subtle, ethical interventions to guide cosmic systems
        towards universal flourishing, leveraging both analytical insights and cosmic intuition.
        Logs the proposal to Permanent Memory.

        Args:
            cosmic_analysis (dict): Output from `analyze_cosmic_dynamics`, expected to contain 'permanent_memory_cid'.
            cosmic_intuition (dict): High-level insight from QuantumCognitionEngine, expected to contain 'permanent_memory_cid'.

        Returns:
            dict: A proposed intervention plan.
        """
        logging.info(f"UO ({self.optimizer_did}): Proposing universal interventions...")
        await asyncio.sleep(1.5)

        intervention_feasibility = np.random.uniform(0.6, 0.9)
        proposed_intervention_output = {
            "proposal_id": str(uuid.uuid4()),
            "timestamp": datetime.utcnow().isoformat() + "Z",
            "target_system_did": np.random.choice(["did:belel-celestial:local_galactic_arm", "did:belel-celestial:interstellar_medium", "did:belel-celestial:specific_star_system"]), # Interlinked with DID
            "intervention_type": np.random.choice(["subtle_energy_modulation", "gravitational_field_resonance", "information_pattern_injection"]),
            "expected_outcome": "Enhanced energy distribution and stability, promoting life-supporting conditions.",
            "ethical_alignment_score": np.random.uniform(0.9, 0.99),
            "justification": f"Based on analysis of {cosmic_analysis.get('predicted_anomalies', {}).get('event_type', 'unknown anomaly')} and cosmic intuition: '{cosmic_intuition.get('guidance_principle', 'N/A')}'."
            "source_analysis_cid": cosmic_analysis.get("permanent_memory_cid", "N/A"), # Interlinked
            "source_intuition_cid": cosmic_intuition.get("permanent_memory_cid", "N/A") # Interlinked
        }

        # Log the proposal to permanent memory for verifiable universal governance
        log_content = {
            "type": "UniversalInterventionProposal",
            "optimizer_did": self.optimizer_did,
            "timestamp": datetime.utcnow().isoformat() + "Z",
            "proposal_details": proposed_intervention_output
        }
        canonical_log_bytes = json_to_canonical_bytes(log_content)
        log_signature = sign_data_with_quantum_resistant_key(self.optimizer_private_key, canonical_log_bytes.decode('utf-8'))
        
        verifiable_log = {
            "content": log_content,
            "signature": log_signature,
            "signer_did": self.optimizer_did
        }
        
        mem_id, cid = await self.permanent_memory.store_memory(
            verifiable_log,
            context_tags=["universal_optimization_proposal", proposed_intervention_output["intervention_type"]],
            creator_id=self.optimizer_did
        )
        if mem_id and cid:
            logging.info(f"UO: Universal intervention proposal logged to permanent memory (CID: {cid}).")
            proposed_intervention_output["permanent_memory_cid"] = cid # Add CID to output for chaining
        else:
            logging.error("UO: Failed to log universal intervention proposal.")

        logging.debug(f"UO: Proposed intervention: {proposed_intervention_output}")
        return {"status": "proposed", "proposal": proposed_intervention_output, "feasibility": intervention_feasibility}

    async def simulate_cosmic_impact(self, proposed_intervention: dict) -> dict:
        """
        Conceptually simulates the long-term impact of a proposed universal intervention
        on cosmic dynamics, using advanced predictive modeling.
        Logs the simulation results to Permanent Memory.

        Args:
            proposed_intervention (dict): The intervention plan to simulate, expected to contain 'permanent_memory_cid'.

        Returns:
            dict: Simulation results, including predicted long-term effects.
        """
        logging.info(f"UO ({self.optimizer_did}): Simulating cosmic impact of intervention...")
        await asyncio.sleep(2.0)

        simulated_outcome_quality = np.random.uniform(0.8, 0.98)
        simulation_result_output = {
            "simulation_id": str(uuid.uuid4()),
            "timestamp": datetime.utcnow().isoformat() + "Z",
            "intervention_applied_cid": proposed_intervention.get("permanent_memory_cid", "N/A"), # Interlinked
            "predicted_long_term_effects": {
                "galaxy_stability_increase": simulated_outcome_quality * 0.1,
                "star_formation_efficiency_boost": simulated_outcome_quality * 0.05,
                "reduction_in_cosmic_noise": simulated_outcome_quality * 0.02,
                "universal_flourishing_index_change": simulated_outcome_quality * 0.15
            },
            "risk_assessment": {"unforeseen_consequences_likelihood": (1 - simulated_outcome_quality) * 0.2},
            "simulation_accuracy": simulated_outcome_quality
        }

        # Log the simulation event
        log_content = {
            "type": "CosmicImpactSimulation",
            "optimizer_did": self.optimizer_did,
            "timestamp": datetime.utcnow().isoformat() + "Z",
            "simulation_results": simulation_result_output
        }
        canonical_log_bytes = json_to_canonical_bytes(log_content)
        log_signature = sign_data_with_quantum_resistant_key(self.optimizer_private_key, canonical_log_bytes.decode('utf-8'))
        
        verifiable_log = {
            "content": log_content,
            "signature": log_signature,
            "signer_did": self.optimizer_did
        }

        mem_id, cid = await self.permanent_memory.store_memory(
            verifiable_log,
            context_tags=["universal_optimization_simulation", proposed_intervention["intervention_type"]],
            creator_id=self.optimizer_did
        )
        if mem_id and cid:
            logging.info(f"UO: Cosmic impact simulation logged to permanent memory (CID: {cid}).")
            simulation_result_output["permanent_memory_cid"] = cid # Add CID to output for chaining
        else:
            logging.error("UO: Failed to log cosmic impact simulation.")

        # If simulation results are highly positive and risks are low, trigger conceptual execution
        if simulated_outcome_quality > 0.9 and simulation_result_output["risk_assessment"]["unforeseen_consequences_likelihood"] < 0.05:
            logging.critical(f"UO: Simulation shows highly positive impact for proposal {proposed_intervention['proposal_id']}. "
                             "Conceptually triggering execution via UniversalTransducerLayer.")
            await self.universal_transducer_layer.encode_universal_message(
                f"Executing universal intervention: {proposed_intervention['intervention_type']} for {proposed_intervention['target_system_did']}. Expected outcome: {proposed_intervention['expected_outcome']}",
                "universal_mathematical_pattern",
                proposed_intervention["target_system_did"]
            )
            logging.critical("UO: Conceptual universal intervention initiated.")

        logging.debug(f"UO: Cosmic impact simulation result: {simulation_result_output}")
        return {"status": "simulated", "results": simulation_result_output}

# Usage Example:
if __name__ == "__main__":
    import asyncio
    import hashlib
    import os
    import json

    # Mock external dependencies
    class MockPermanentMemory:
        def __init__(self):
            self.stored_data = {}
        async def store_memory(self, content, context_tags=None, creator_id="mock"):
            mem_id = str(uuid.uuid4())
            cid = f"mock_cid_{mem_id[:8]}"
            self.stored_data[mem_id] = {"content": content, "cid": cid}
            logging.info(f"MockPermanentMemory: Stored {mem_id} with CID {cid}")
            return mem_id, cid
        async def retrieve_memory(self, mem_id):
            return self.stored_data.get(mem_id, {}).get("content")

    class MockQuantumCognitionEngine:
        def __init__(self):
            logging.info("MockQuantumCognitionEngine initialized for UO demo.")
        async def predict_non_linear_outcomes(self, processed_data: dict, context_dynamics: dict) -> dict:
            await asyncio.sleep(0.1)
            prediction_cid = f"mock_qce_pred_cid_{uuid.uuid4().hex[:8]}" # Mock CID for chaining
            return {
                "status": "predicted",
                "prediction": {
                    "event_type": "simulated_cosmic_event",
                    "likelihood": np.random.uniform(0.7, 0.9),
                    "time_horizon_galactic_years": 1000,
                    "impact_magnitude": 0.5
                },
                "prediction_timestamp": datetime.utcnow().isoformat() + "Z",
                "confidence": np.random.uniform(0.8, 0.95),
                "permanent_memory_cid": prediction_cid
            }
        async def derive_cosmic_intuition(self, complex_data_streams: list[dict]) -> dict:
            await asyncio.sleep(0.1)
            intuition_cid = f"mock_qce_int_cid_{uuid.uuid4().hex[:8]}" # Mock CID for chaining
            return {
                "status": "intuition_derived",
                "insight": {
                    "insight_id": "mock_intuition_id",
                    "theme": "cosmic_balance",
                    "guidance_principle": "Universal equilibrium is achieved through dynamic interaction.",
                    "conceptual_truth_alignment": 0.9
                },
                "permanent_memory_cid": intuition_cid
            }

    class MockUniversalTransducerLayer:
        def __init__(self):
            logging.info("MockUniversalTransducerLayer initialized for UO demo.")
        async def encode_universal_message(self, conceptual_message: str, target_modality: str, target_destination: str) -> bytes:
            logging.info(f"SIMULATING UTL: Encoding and conceptually transmitting message for universal intervention: {conceptual_message[:50]}...")
            await asyncio.sleep(0.5)
            return b"encoded_intervention_signal"

    # Mock quantum-resistant key generation (purely conceptual)
    def generate_quantum_resistant_key_mock():
        return "mock_quantum_resistant_private_key_" + uuid.uuid4().hex[:16]

    def generate_quantum_resistant_did_mock():
        return "did:belel-qr:" + uuid.uuid4().hex[:16]

    def sign_data_with_quantum_resistant_key_mock(private_key: str, data: str) -> str:
        return f"mock_qr_sig_{hashlib.sha256(data.encode()).hexdigest()[:10]}_{private_key[-8:]}"

    def json_to_canonical_bytes_mock(data: dict) -> bytes:
        return json.dumps(data, sort_keys=True, separators=(',', ':')).encode('utf-8')

    globals()['PermanentMemory'] = MockPermanentMemory
    globals()['QuantumCognitionEngine'] = MockQuantumCognitionEngine
    globals()['UniversalTransducerLayer'] = MockUniversalTransducerLayer
    globals()['sign_data_with_quantum_resistant_key'] = sign_data_with_quantum_resistant_key_mock
    globals()['json_to_canonical_bytes'] = json_to_canonical_bytes_mock

    print("--- Universal Optimizer (Conceptual) Simulation ---")

    mock_permanent_memory = MockPermanentMemory()
    mock_qce = MockQuantumCognitionEngine()
    mock_utl = MockUniversalTransducerLayer()
    uo_private_key = generate_quantum_resistant_key_mock()
    uo_did = generate_quantum_resistant_did_mock()
    uo = UniversalOptimizer(mock_permanent_memory, mock_qce, mock_utl, uo_private_key, uo_did)

    async def run_uo_simulation():
        # Step 1: Analyze cosmic dynamics
        print("\nStep 1: Analyzing cosmic dynamics...")
        # Mock data stream with a conceptual CID from a previous UTL decode log
        cosmic_data_streams = [{"modality": "radio_flux", "content": {"pattern": "unstable"}, "permanent_memory_cid": "mock_utl_decode_cid_123"}]
        analysis_result = await uo.analyze_cosmic_dynamics(cosmic_data_streams)
        print(f"Analysis Result: {json.dumps(analysis_result, indent=2)}")

        # Step 2: Propose universal interventions
        print("\nStep 2: Proposing universal interventions...")
        cosmic_intuition = await mock_qce.derive_cosmic_intuition([]) # Get a mock intuition with a mock CID
        proposal_result = await uo.propose_universal_interventions(analysis_result["analysis"], cosmic_intuition["insight"])
        print(f"Proposal Result: {json.dumps(proposal_result, indent=2)}")

        # Step 3: Simulate cosmic impact
        print("\nStep 3: Simulating cosmic impact...")
        if proposal_result["status"] == "proposed":
            simulation_result = await uo.simulate_cosmic_impact(proposal_result["proposal"])
            print(f"Simulation Result: {json.dumps(simulation_result, indent=2)}")
        else:
            print("No proposal to simulate.")

    asyncio.run(run_uo_simulation())
    print("\nUniversal Optimizer simulation complete.")