|
| 1 | +from ThreadPoolExecutorPlus import ThreadPoolExecutor |
| 2 | +from collections import deque |
| 3 | +import time |
| 4 | +import random |
| 5 | +import datetime |
| 6 | +import asyncio |
| 7 | +import os |
| 8 | +import platform |
| 9 | +pltfm = platform.system() |
| 10 | + |
| 11 | +''' |
| 12 | +Significantly performace drop down found on linux , reason not clear. |
| 13 | +''' |
| 14 | + |
| 15 | +def func(arg): |
| 16 | + time.sleep(arg) |
| 17 | + return str(arg) |
| 18 | + |
| 19 | +async def one_task(loop , executor , arg , statistics , dataflow): |
| 20 | + r = await loop.run_in_executor(executor , func , arg) |
| 21 | + if r == str(arg): |
| 22 | + statistics[0] += 1 |
| 23 | + statistics[2] += arg |
| 24 | + else: |
| 25 | + statistics[1] += 1 |
| 26 | + dataflow[0] = dataflow[0] - arg |
| 27 | + |
| 28 | +async def report_thread(executor , statistics , dataflow , scale_factor): |
| 29 | + st = time.time() |
| 30 | + line = deque() |
| 31 | + while True: |
| 32 | + await asyncio.sleep(2) |
| 33 | + print(f"Report every 2 secs : [success] {statistics[0]} \t[fail] {statistics[1]} \t[dataflow] {'%.2f' % round(dataflow[0],2)} \t[currentthread] {len(executor._threads)} \t[qps] {round((statistics[0] / (time.time() - st)) , 2)}") |
| 34 | + |
| 35 | +async def main(): |
| 36 | + loop = asyncio.get_running_loop() |
| 37 | + statistics = [0 , 0 , 0] |
| 38 | + dataflow = [0] |
| 39 | + max_capability = 1024 * 10 * 0.8 |
| 40 | + scale_factor = 0.2 |
| 41 | + if pltfm == 'Windows': |
| 42 | + max_workers = min((os.cpu_count() or 1) << 7 , 1024) |
| 43 | + elif pltfm == 'Linux': |
| 44 | + max_workers = min((os.cpu_count() or 1) << 8 , 4096) |
| 45 | + else: |
| 46 | + raise RuntimeError('could only run on x86 platform') |
| 47 | + |
| 48 | + with ThreadPoolExecutor(max_workers = max_workers) as executor: |
| 49 | + loop.create_task(report_thread(executor , statistics , dataflow , scale_factor)) |
| 50 | + while True: |
| 51 | + rand_time = random.random() * scale_factor |
| 52 | + if dataflow[0] >= max_capability: |
| 53 | + await asyncio.sleep(0.1) |
| 54 | + continue |
| 55 | + # else: |
| 56 | + dataflow[0] = dataflow[0] + rand_time |
| 57 | + loop.create_task(one_task(loop , executor , rand_time , statistics , dataflow)) |
| 58 | + await asyncio.sleep(0.001) |
| 59 | + |
| 60 | +asyncio.run(main()) |
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