pydantic/benchmarks/run.py

import json
import os
import random
import string
import sys
from datetime import datetime
from functools import partial
from pathlib import Path
from statistics import StatisticsError, mean
from statistics import stdev as stdev_

from test_pydantic import TestPydantic
from test_trafaret import TestTrafaret
from test_drf import TestDRF

PUNCTUATION = ' \t\n!"#$%&\'()*+,-./'
LETTERS = string.ascii_letters
UNICODE = '\xa0\xad¡¢£¤¥¦§¨©ª«¬ ®¯°±²³´µ¶·¸¹º»¼½¾¿ÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÕÖ×ØÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõö÷øùúûüýþÿ'
ALL = PUNCTUATION * 5 + LETTERS * 20 + UNICODE
random = random.SystemRandom()


class GenerateData:
    def __init__(self):
        pass


def rand_string(min_length, max_length, corpus=ALL):
    return ''.join(random.choices(corpus, k=random.randrange(min_length, max_length)))


MISSING = object()


def null_missing_v(f, null_chance=0.2, missing_chance=None):
    r = random.random()
    if random.random() < null_chance:
        return None
    missing_chance = null_chance if missing_chance is None else missing_chance
    if r < (null_chance + missing_chance):
        return MISSING
    return f()


def null_missing_string(*args, **kwargs):
    f = partial(rand_string, *args)
    return null_missing_v(f, **kwargs)


def rand_email():
    if random.random() < 0.2:
        c1, c2 = UNICODE, LETTERS
    else:
        c1, c2 = LETTERS, LETTERS
    return f'{rand_string(10, 50, corpus=c1)}@{rand_string(10, 50, corpus=c2)}.{rand_string(2, 5, corpus=c2)}'


def null_missing_email():
    return null_missing_v(rand_email)


def rand_date():
    r = random.randrange
    return f'{r(1900, 2020)}-{r(0, 12)}-{r(0, 32)}T{r(0, 24)}:{r(0, 60)}:{r(0, 60)}'


def remove_missing(d):
    if isinstance(d, dict):
        return {k: remove_missing(v) for k, v in d.items() if v is not MISSING}
    elif isinstance(d, list):
        return [remove_missing(d_) for d_ in d]
    else:
        return d


def generate_case():
    return remove_missing(dict(
        id=random.randrange(1, 2000),
        client_name=null_missing_string(10, 280, null_chance=0.05, missing_chance=0.05),
        sort_index=random.random() * 200,
        client_email=null_missing_email(),  # email checks differ with different frameworks
        client_phone=null_missing_string(5, 15),
        location=dict(
            latitude=random.random() * 180 - 90,
            longitude=random.random() * 180,
        ),
        contractor=str(random.randrange(50, 2000)),
        upstream_http_referrer=null_missing_string(10, 1050),
        grecaptcha_response=null_missing_string(10, 1050, null_chance=0.05, missing_chance=0.05),
        last_updated=rand_date(),
        skills=[dict(
            subject=null_missing_string(5, 20, null_chance=0.01, missing_chance=0),
            subject_id=i,
            category=rand_string(5, 20),
            qual_level=rand_string(5, 20),
            qual_level_id=random.randrange(2000),
            qual_level_ranking=random.random() * 20
        ) for i in range(random.randrange(1, 5))]
    ))

THIS_DIR = Path(__file__).parent.resolve()


def stdev(d):
    try:
        return stdev_(d)
    except StatisticsError:
        return 0


def main():
    json_path = THIS_DIR / 'cases.json'
    if not json_path.exists():
        print('generating test cases...')
        cases = [generate_case() for _ in range(2000)]
        with json_path.open('w') as f:
            json.dump(cases, f, indent=2, sort_keys=True)
    else:
        with json_path.open() as f:
            cases = json.load(f)

    if 'pydantic-only' in sys.argv:
        tests = [TestPydantic]
    else:
        tests = [TestPydantic, TestTrafaret, TestDRF]

    repeats = int(os.getenv('BENCHMARK_REPEATS', '5'))
    results = []
    for test_class in tests:
        times = []
        p = test_class.package
        for i in range(repeats):
            count, pass_count = 0, 0
            start = datetime.now()
            test = test_class(False)
            for i in range(3):
                for case in cases:
                    passed, result = test.validate(case)
                    count += 1
                    pass_count += passed
            time = (datetime.now() - start).total_seconds()
            success = pass_count / count * 100
            print(f'{p:10} time={time:0.3f}s, success={success:0.2f}%')
            times.append(time)
        print(f'{p:10} best={min(times):0.3f}s, avg={mean(times):0.3f}s, stdev={stdev(times):0.3f}s')
        model_count = repeats * 3 * len(cases)
        results.append(f'{p:10} per iteration: best={min(times) / model_count * 1e6:0.3f}μs, '
                       f'avg={mean(times) / model_count * 1e6:0.3f}μs, '
                       f'stdev={stdev(times) / model_count * 1e6:0.3f}μs')
        print()

    for r in results:
        print(r)


if __name__ == '__main__':
    main()