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| """ | |
| 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 | |
| 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()) |