15427c96c0
- Change file mode from 644 to 755 for all project files - Add chain_id parameter to get_balance RPC endpoint with default "ait-devnet" - Rename Miner.extra_meta_data to extra_metadata for consistency
226 lines
7.6 KiB
Python
Executable File
226 lines
7.6 KiB
Python
Executable File
import pytest
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import os
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import subprocess
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import json
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from pathlib import Path
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from typing import Dict, List
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class ZKCircuitTester:
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"""Testing framework for ZK circuits"""
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def __init__(self, circuits_dir: Path):
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self.circuits_dir = circuits_dir
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self.build_dir = circuits_dir / "build"
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self.snarkjs_path = self._find_snarkjs()
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def _find_snarkjs(self) -> str:
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"""Find snarkjs executable"""
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try:
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result = subprocess.run(["which", "snarkjs"],
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capture_output=True, text=True, check=True)
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return result.stdout.strip()
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except subprocess.CalledProcessError:
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raise FileNotFoundError("snarkjs not found. Install with: npm install -g snarkjs")
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def compile_circuit(self, circuit_file: str) -> Dict:
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"""Compile a Circom circuit"""
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circuit_path = self.circuits_dir / circuit_file
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circuit_name = Path(circuit_file).stem
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# Create build directory
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build_path = self.build_dir / circuit_name
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build_path.mkdir(parents=True, exist_ok=True)
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# Compile circuit
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cmd = [
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"circom",
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str(circuit_path),
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"--r1cs", "--wasm", "--sym", "--c",
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"-o", str(build_path)
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]
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result = subprocess.run(cmd, capture_output=True, text=True, check=True)
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return {
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"circuit_name": circuit_name,
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"build_path": str(build_path),
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"r1cs_file": str(build_path / f"{circuit_name}.r1cs"),
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"wasm_file": str(build_path / f"{circuit_name}_js" / f"{circuit_name}.wasm"),
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"sym_file": str(build_path / f"{circuit_name}.sym"),
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"c_file": str(build_path / f"{circuit_name}.c")
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}
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def setup_trusted_setup(self, circuit_info: Dict, power_of_tau: str = "12") -> Dict:
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"""Setup trusted setup for Groth16"""
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circuit_name = circuit_info["circuit_name"]
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build_path = Path(circuit_info["build_path"])
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# Start with powers of tau ceremony
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pot_file = build_path / f"pot{power_of_tau}.ptau"
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if not pot_file.exists():
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cmd = ["snarkjs", "powersOfTau", "new", "bn128", power_of_tau, str(pot_file)]
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subprocess.run(cmd, check=True)
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# Contribute to ceremony
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cmd = ["snarkjs", "powersOfTau", "contribute", str(pot_file)]
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subprocess.run(cmd, input="random entropy\n", text=True, check=True)
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# Generate zkey
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zkey_file = build_path / f"{circuit_name}.zkey"
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if not zkey_file.exists():
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cmd = [
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"snarkjs", "groth16", "setup",
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circuit_info["r1cs_file"],
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str(pot_file),
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str(zkey_file)
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]
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subprocess.run(cmd, check=True)
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# Skip zkey contribution for basic testing - just use the zkey from setup
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# zkey_file is already created by groth16 setup above
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# Export verification key
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vk_file = build_path / f"{circuit_name}_vk.json"
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cmd = ["snarkjs", "zkey", "export", "verificationkey", str(zkey_file), str(vk_file)]
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subprocess.run(cmd, check=True)
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return {
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"ptau_file": str(pot_file),
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"zkey_file": str(zkey_file),
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"vk_file": str(vk_file)
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}
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def generate_witness(self, circuit_info: Dict, inputs: Dict) -> Dict:
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"""Generate witness for circuit"""
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circuit_name = circuit_info["circuit_name"]
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wasm_dir = Path(circuit_info["wasm_file"]).parent
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# Write inputs to file
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input_file = wasm_dir / "input.json"
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with open(input_file, 'w') as f:
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json.dump(inputs, f)
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# Generate witness
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cmd = [
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"node",
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"generate_witness.js", # Correct filename generated by circom
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f"{circuit_name}.wasm",
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"input.json",
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"witness.wtns"
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]
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result = subprocess.run(cmd, capture_output=True, text=True,
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cwd=wasm_dir, check=True)
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return {
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"witness_file": str(wasm_dir / "witness.wtns"),
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"input_file": str(input_file)
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}
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def generate_proof(self, circuit_info: Dict, setup_info: Dict, witness_info: Dict) -> Dict:
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"""Generate Groth16 proof"""
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circuit_name = circuit_info["circuit_name"]
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wasm_dir = Path(circuit_info["wasm_file"]).parent
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# Generate proof
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cmd = [
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"snarkjs", "groth16", "prove",
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setup_info["zkey_file"],
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witness_info["witness_file"],
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"proof.json",
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"public.json"
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]
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subprocess.run(cmd, cwd=wasm_dir, check=True)
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# Read proof and public signals
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proof_file = wasm_dir / "proof.json"
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public_file = wasm_dir / "public.json"
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with open(proof_file) as f:
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proof = json.load(f)
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with open(public_file) as f:
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public_signals = json.load(f)
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return {
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"proof": proof,
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"public_signals": public_signals,
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"proof_file": str(proof_file),
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"public_file": str(public_file)
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}
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def verify_proof(self, circuit_info: Dict, setup_info: Dict, proof_info: Dict) -> bool:
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"""Verify Groth16 proof"""
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cmd = [
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"snarkjs", "groth16", "verify",
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setup_info["vk_file"],
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proof_info["public_file"],
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proof_info["proof_file"]
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]
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result = subprocess.run(cmd, capture_output=True, text=True, check=True)
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return "OK" in result.stdout
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class MLInferenceTester:
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"""Specific tester for ML inference circuits"""
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def __init__(self):
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self.tester = ZKCircuitTester(Path("apps/zk-circuits"))
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def test_simple_neural_network(self):
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"""Test simple neural network inference verification - basic compilation and witness test"""
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# Compile circuit
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circuit_info = self.tester.compile_circuit("ml_inference_verification.circom")
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# Test inputs (simple computation: output = x * w + b, verified == expected)
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inputs = {
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"x": 2, # input
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"w": 3, # weight
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"b": 1, # bias
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"expected": 7 # expected output (2*3+1 = 7)
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}
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# Generate witness
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witness_info = self.tester.generate_witness(circuit_info, inputs)
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# For basic testing, just verify the witness was generated successfully
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assert Path(witness_info["witness_file"]).exists(), "Witness file not generated"
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assert Path(witness_info["input_file"]).exists(), "Input file not created"
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return {
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"circuit_info": circuit_info,
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"witness_info": witness_info,
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"verification": True # Basic test passed
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}
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# Pytest tests
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@pytest.fixture
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def ml_tester():
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return MLInferenceTester()
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def test_ml_inference_circuit(ml_tester):
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"""Test ML inference circuit compilation and verification"""
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result = ml_tester.test_simple_neural_network()
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assert result["verification"], "ML inference circuit verification failed"
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def test_circuit_performance(ml_tester):
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"""Test circuit performance benchmarks"""
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import time
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start_time = time.time()
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result = ml_tester.test_simple_neural_network()
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end_time = time.time()
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compilation_time = end_time - start_time
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# Performance assertions
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assert compilation_time < 60, f"Circuit compilation too slow: {compilation_time}s"
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assert result["verification"], "Performance test failed verification"
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if __name__ == "__main__":
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# Run tests
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tester = MLInferenceTester()
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result = tester.test_simple_neural_network()
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print(f"Test completed: {result['verification']}")
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