#!/usr/bin/env python3
import subprocess
import time
import struct
import math
import statistics
import tempfile
import itertools
from os import path

import tqdm


SIMS = [ 'dec_proto_am_ber_top.py',
        'dec_proto_am_dc_ber_top.py',
        'dec_proto_fm_ber_top.py',
        ]
E12_SERIES = [1.0, 1.2, 1.5, 1.8, 2.2, 2.7, 3.3, 3.9, 4.7, 5.6, 6.8, 8.2]
AMPLITUDES_MILLIHERTZ = [ x*y for y in [1, 10, 100] for x in E12_SERIES ]

SIMULATION_DURATION = 30.0 # seconds realtime
MAX_CONCURRENT_PROCESSES = 8


with tempfile.TemporaryDirectory() as tmpdir:

    jobs = list(enumerate(itertools.product(SIMS, AMPLITUDES_MILLIHERTZ)))
    print(f'Will launch {len(jobs)} simulation jobs in {math.ceil(len(jobs)/MAX_CONCURRENT_PROCESSES):.0f} batches of {MAX_CONCURRENT_PROCESSES}')

    def start_processes(jobs):
        for i, (sim, ampl_mhz) in jobs:
                berfile = path.join(tmpdir, f'berfile_{i}')
                proc = subprocess.Popen(['/usr/bin/python2', sim,
                        '--signal-strength', str(ampl_mhz),
                        '--ber-file', berfile],
                    stdin=subprocess.PIPE, stdout=subprocess.DEVNULL)
                yield proc, sim, ampl_mhz, berfile

    results = { sim: ([], [], []) for sim in SIMS }
    for n, i in enumerate(range(0, len(jobs), MAX_CONCURRENT_PROCESSES)):
        batch = jobs[i:][:MAX_CONCURRENT_PROCESSES]
        print(f'Starting batch {n}... ', end='')
        processes = list(start_processes(batch))
        print('done.')

        print('Waiting for simulation:')
        for _ in tqdm.trange(1000):
            time.sleep(SIMULATION_DURATION/1000)

        print('Terminating processes...', end='')
        for proc, *_ in processes:
            proc.communicate(b'\n', timeout=10)

        for proc, *_ in processes:
            proc.wait(5)
        print('done.')

        print('Processing simulation results')
        for _proc, sim, ampl_mhz, berfile in processes:

            with open(berfile, 'rb') as f:
                data = f.read()

            floats = struct.unpack(f'{len(data)//4}f', data)
            ber = statistics.mean(floats[-256:])
            stdev = statistics.stdev(floats[-256:])

            amplitudes, bers, stdevs = results[sim]
            amplitudes.append(ampl_mhz)
            bers.append(ber)
            stdevs.append(stdev)

print(results)