from subprocess import call
import time

def run_real(samples):
    with open("model/results_real", 'w') as f:
        for _ in range(samples):
            start = time.time()
            call(["pypy", "-m", "pytest", "integration/test_powerwindow.py", "-k", "fast", "-x"])
            print("Time to execute: " + str(time.time() - start))
            f.write(str(time.time() - start))
            f.write("\n")
            f.flush()

def run_simulation(latency):
    import sys
    sys.path.append("model")
    from model import simulate
    print("SIMULATE for " + str(latency))
    result = simulate(latency)
    print(result)
    return result

def benchmark(parallel, to_run):
    if parallel:
        from multiprocessing import Pool
        pool = Pool(processes=4)
        results = pool.map(run_simulation, to_run)
    else:
        results = map(run_simulation, to_run)
    return results

def benchmark_mvs(parallel, latency_range):
    to_run = [{"mvk2mvs_latency": i} for i in latency_range]
    results = benchmark(parallel, to_run)

    print(results)
    with open("model/results_mvs_latency", 'w') as f:
        for latency, result in zip(to_run, results):
            sim, exe = result
            f.write("%s %s %s\n" % (latency, sim, exe))
            f.flush()

def benchmark_mvi(parallel, latency_range):
    to_run = [{"mvi2mvk_latency": i} for i in latency_range]
    results = benchmark(parallel, to_run)

    print(results)
    with open("model/results_mvi_latency", 'w') as f:
        for latency, result in zip(to_run, results):
            sim, exe = result
            f.write("%s %s %s\n" % (latency, sim, exe))
            f.flush()

if __name__ == "__main__":
    benchmark_mvs(parallel = False, latency_range=[0.0, 0.5])
    benchmark_mvi(parallel = False, latency_range=[0.0, 0.5])
    run_real(samples = 2)
    #benchmark_mvs(parallel = False, latency_range=[0.0, 0.0017, 0.012, 0.02, 0.1, 0.5])
    #benchmark_mvi(parallel = False, latency_range=[0.0, 0.0017, 0.012, 0.02, 0.1, 0.5])
    #run_real(samples = 10)