FROM python:slim

RUN apt update && apt install -y sysbench fastfetch

RUN pip install tqdm pandas tabulate

RUN tee bench.py <<EOF
#!/usr/bin/env python

def ensure(*packages):
    for pkg in packages:
        try: __import__(pkg)
        except: import os; os.system(f'pip install -q {pkg}')
ensure('pandas', 'tabulate')

import subprocess, multiprocessing as mp, warnings, pandas as pd
from tqdm.auto import tqdm
from tabulate import tabulate
warnings.filterwarnings("ignore")
R, G, B, W = (f'\x1b[{x}m' for x in (31, 32, 34, 0))
subprocess.run('clear')
subprocess.run('fastfetch')

command = lambda core: f'sysbench cpu --cpu-max-prime=20000 --time=1 --threads={core} run | grep second'

print(f'{G}$ {command("$(nproc)")}{W}', flush=True)


def speed(core):
    output = subprocess.run(
        command(core), shell=True, capture_output=True, text=True
    ).stdout.split()[-1]
    return float(output)

df = []
prev = 0
for core in range(1, mp.cpu_count()+1):
    s = speed(core)
    row = {
        '#Threads': core,
        'Throughput(/s)': s,
        '(per-core)': s - prev
    }
    prev = s
    df.append(row)
df = pd.DataFrame(df)
df.to_csv('result.csv', index=False)

df.iloc[:, 0] = df.iloc[:, 0].apply(lambda s: f'{R}{s}{W}')
df.iloc[:, 1] = df.iloc[:, 1].apply(lambda s: f'{G}{int(s)}{W}')
df.iloc[:, 2] = df.iloc[:, 2].apply(lambda s: f'{B}{int(s)}{W}')
print(tabulate(df, headers='keys', tablefmt='rounded_outline', showindex=False))
EOF

ENTRYPOINT ["python", "bench.py"]