""" Quantum Randomness Oracle for Blockchain Generates quantum randomness and feeds it to blockchain networks """ import asyncio import hashlib import time from typing import Dict, Any, Optional from dataclasses import dataclass from web3 import Web3 import eth_account from app.quantum.qrng import get_quantum_rng from app.quantum.hardware_interface import get_quantum_hardware_manager from app.quantum.commitment import compute_commitment @dataclass class RandomnessRequest: """Represents a randomness request from blockchain""" request_id: int requester: str fee_paid: int block_number: int deadline: int timestamp: float class QuantumRandomnessOracle: """Quantum-powered randomness oracle for blockchain networks""" def __init__(self, blockchain_rpc_url: str, contract_address: str, private_key: str): self.web3 = Web3(Web3.HTTPProvider(blockchain_rpc_url)) self.contract_address = contract_address self.account = eth_account.Account.from_key(private_key) # Quantum RNG instance self.qrng = get_quantum_rng() self.hw_manager = get_quantum_hardware_manager() # Active requests tracking self.pending_requests: Dict[int, RandomnessRequest] = {} # Oracle configuration self.fulfillment_gas_limit = 200000 self.commit_reveal_delay = 2 # blocks delay for commit-reveal scheme async def start_oracle_service(self): """Start the oracle service to listen for requests and provide randomness""" print("Starting Quantum Randomness Oracle Service...") while True: try: # Check for new requests await self.process_new_requests() # Fulfill eligible requests await self.fulfill_requests() # Wait before next cycle await asyncio.sleep(15) # Ethereum block time except Exception as e: print(f"Oracle service error: {e}") await asyncio.sleep(30) # Wait longer on error async def process_new_requests(self): """Monitor blockchain for new randomness requests""" # In a real implementation, this would use event filters # For demo purposes, we'll simulate request detection # Simulate detecting a new request if len(self.pending_requests) < 5: # Limit pending requests # Create a mock request (in reality, this comes from blockchain events) mock_request = RandomnessRequest( request_id=len(self.pending_requests), requester=self.account.address, fee_paid=100000000000000000, # 0.1 ETH block_number=self.web3.eth.block_number, deadline=self.web3.eth.block_number + 100, timestamp=time.time() ) self.pending_requests[mock_request.request_id] = mock_request print(f"Detected new randomness request: {mock_request.request_id}") async def fulfill_requests(self): """Generate and submit quantum randomness for pending requests""" for req_id, request in list(self.pending_requests.items()): if self.web3.eth.block_number >= request.deadline: print(f"Request {req_id} expired, removing from queue") del self.pending_requests[req_id] continue # Generate quantum randomness quantum_result = await self.qrng.generate_bytes(32, 16, "raw") randomness_bytes = quantum_result.data # Create commitment: keccak256(abi.encodePacked(uint256(randomness))) commitment = compute_commitment(randomness_bytes) # Submit to blockchain (in real implementation, this would be a transaction) success = await self.submit_randomness( req_id, randomness_bytes, commitment ) if success: print(f"Successfully fulfilled request {req_id}") del self.pending_requests[req_id] else: print(f"Failed to fulfill request {req_id}, will retry") async def submit_randomness(self, request_id: int, randomness: bytes, commitment: bytes) -> bool: """Submit randomness to the blockchain contract""" try: # In a real implementation, this would create and send a transaction # For demo, we'll just simulate the submission print(f"Submitting randomness for request {request_id}") print(f"Randomness: 0x{randomness.hex()}") print(f"Commitment: 0x{commitment.hex()}") # Simulate transaction success return True except Exception as e: print(f"Error submitting randomness: {e}") return False async def get_quantum_randomness(self, num_bytes: int = 32) -> bytes: """Generate quantum randomness using quantum hardware""" quantum_result = await self.qrng.generate_bytes(num_bytes, 16, "raw") return quantum_result.data async def benchmark_performance(self) -> Dict[str, Any]: """Benchmark quantum randomness generation performance""" start_time = time.time() # Generate 100 samples of 32-byte randomness tasks = [self.qrng.generate_bytes(32, 16, "raw") for _ in range(100)] results = await asyncio.gather(*tasks) end_time = time.time() total_time = end_time - start_time # Calculate entropy quality total_entropy_bits = sum(r.entropy_bits for r in results) avg_entropy_bits = total_entropy_bits / len(results) return { "samples_generated": len(results), "total_time_seconds": round(total_time, 3), "throughput_samples_per_second": round(len(results) / total_time, 2), "average_entropy_bits_per_sample": avg_entropy_bits, "total_entropy_bits_generated": total_entropy_bits, "generation_time_per_sample_ms": round((total_time / len(results)) * 1000, 2) } # Example usage async def main(): """Example usage of the Quantum Randomness Oracle""" print("Quantum Randomness Oracle Demo") print("=" * 40) # Initialize oracle (using mock values) oracle = QuantumRandomnessOracle( blockchain_rpc_url="https://sepolia.infura.io/v3/YOUR_PROJECT_ID", contract_address="0x...", private_key="YOUR_PRIVATE_KEY" ) # Benchmark performance print("\nBenchmarking Quantum Randomness Generation...") benchmark = await oracle.benchmark_performance() print(f"Samples generated: {benchmark['samples_generated']}") print(f"Total time: {benchmark['total_time_seconds']}s") print(f"Throughput: {benchmark['throughput_samples_per_second']} samples/sec") print(f"Avg entropy: {benchmark['average_entropy_bits_per_sample']} bits/sample") print(f"Generation time: {benchmark['generation_time_per_sample_ms']} ms/sample") # Generate sample randomness print("\nGenerating sample quantum randomness...") randomness = await oracle.get_quantum_randomness(32) print(f"Quantum randomness (32 bytes): 0x{randomness.hex()}") # Verify uniqueness by generating multiple samples print("\nVerifying randomness uniqueness...") samples = [] for i in range(5): sample = await oracle.get_quantum_randomness(16) # 16 bytes samples.append(sample.hex()) unique_samples = len(set(samples)) print(f"Generated {len(samples)} samples, {unique_samples} unique (all should be unique)") for i, sample in enumerate(samples): print(f" Sample {i+1}: {sample}") if __name__ == "__main__": asyncio.run(main())