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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
@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()) |