import io
import sys
import time
import pycurl
import itertools
import multiprocessing
import threading
import queue
from datetime import datetime
from blist import blist
from dataclasses import dataclass


@dataclass(frozen=False, init=True)
class UploadRequest:
    id: int
    upload_started: float = None
    upload_finished: float = None
    upload_status_code: bool = False
    alert_arrived: float = None


@dataclass(frozen=False, init=True)
class ReturnedRequest:
    id: int
    arrived: float


def independent_worker(number_generator, result_queue, filename: str, timeout: float):
    prepared_curl = pycurl.Curl()
    prepared_curl.setopt(pycurl.URL, "https://birb.k8s.kmlabz.com/benchmark")
    prepared_curl.setopt(pycurl.SSL_VERIFYPEER, 0)
    prepared_curl.setopt(pycurl.SSL_VERIFYHOST, 0)
    # prepared_curl.setopt(pycurl.FORBID_REUSE, 0)
    prepared_curl.setopt(pycurl.HTTP_VERSION, pycurl.CURL_HTTP_VERSION_2_0)
    prepared_curl.setopt(pycurl.WRITEFUNCTION, lambda _: None)

    completed_jobs_list = blist()  # O(log n) insert instead of python's O(n)

    worker_stop_time = 0
    worker_completed_job_count = 0

    # Start working!!
    worker_start_time = time.time()
    while True:
        jobid = next(number_generator)
        prepared_curl.setopt(pycurl.HTTPPOST, [
            ('file', (
                pycurl.FORM_FILE, filename
            )),
            ('description', (
                pycurl.FORM_BUFFERPTR, f'{{"date": "{datetime.now().isoformat()}", "device_id" : "{jobid}"}}',
                pycurl.FORM_CONTENTTYPE, 'application/json',
            ))
        ])

        job_start_time = time.time()
        prepared_curl.perform()
        job_stop_time = time.time()
        status_code = prepared_curl.getinfo(pycurl.HTTP_CODE)

        worker_completed_job_count += 1

        completed_jobs_list.append(UploadRequest(
            id=jobid,
            upload_started=job_start_time,
            upload_finished=job_stop_time,
            upload_status_code=status_code
        ))

        if (job_stop_time - worker_start_time) >= timeout:
            worker_stop_time = job_stop_time
            break

    # end of loop
    runtime = worker_stop_time - worker_start_time
    prepared_curl.close()

    result_queue.put(
        (runtime, worker_completed_job_count, completed_jobs_list)
    )


def main():
    num_workers = 50
    timeout = 10.0
    filename = '/home/marcsello/XauddzikzfKhogEcCYmufFMUrjYTwhwf.wav'

    result_queue = multiprocessing.Queue()

    workers = []
    number_gen = itertools.count()
    for _ in range(num_workers):
        workers.append(multiprocessing.Process(
            target=independent_worker,
            args=(number_gen, result_queue, filename, timeout))
        )

    for w in workers:
        w.start()

    completed_workers = 0
    total_numer_of_completed_requests = 0
    while completed_workers < num_workers:
        result = result_queue.get()
        total_numer_of_completed_requests += result[1]
        completed_workers += 1

    for w in workers:
        w.join()

    print(total_numer_of_completed_requests / timeout)


if __name__ == '__main__':
    main()