JsonParserByLeo/BenOther/Py/main.py

import json
import timeit
import os

import simdjson
import orjson
import ujson

# Cargar el archivo una sola vez 
FILE = r'C:\Users\USER\AppData\Roaming\MetaQuotes\Terminal\D0E8209F77C8CF37AD8BF550E51FF075\MQL5\Shared Projects\JsonParserByLeo\Test\Ben\twitter.json'
assert os.path.exists(FILE), f"No se encontró {FILE}"

with open(FILE, "rb") as f:
    raw_bytes = f.read()

raw_str = raw_bytes.decode("utf-8")

print(f"Archivo : {FILE}")
print(f"Tamaño  : {len(raw_bytes) / 1024:.1f} KB")
print(f"Iters   : 1000\n")
print(f"{'Librería':<22} {'Total (s)':>10} {'Por iter (ms)':>14} {'Speedup vs json':>16}")
print("─" * 68)

ITERS = 1000

# stdlib json 
t_json = timeit.timeit(lambda: json.loads(raw_str), number=ITERS)

# orjson 
t_orjson = timeit.timeit(lambda: orjson.loads(raw_bytes), number=ITERS)

# ujson 
t_ujson = timeit.timeit(lambda: ujson.loads(raw_str), number=ITERS)

# simdjson.loads (drop-in) 
t_simdjson_loads = timeit.timeit(lambda: simdjson.loads(raw_str), number=ITERS)

# simdjson Parser reutilizado 
parser = simdjson.Parser()
t_simdjson_parser = timeit.timeit(lambda: parser.parse(raw_bytes), number=ITERS)

# simdjson Parser + as_dict (convierte todo) 
t_simdjson_dict = timeit.timeit(
    lambda: parser.parse(raw_bytes).as_dict(), number=ITERS
)

# Imprimir resultados 
results = [
    ("json (stdlib)",          t_json),
    ("ujson",                  t_ujson),
    ("orjson",                 t_orjson),
    ("simdjson.loads",         t_simdjson_loads),
    ("simdjson.Parser",        t_simdjson_parser),
    ("simdjson.Parser+as_dict",t_simdjson_dict),
]

baseline = t_json
for name, t in results:
    per_iter = (t / ITERS) * 1000
    speedup  = baseline / t
    print(f"{name:<22} {t:>10.3f}s {per_iter:>13.2f}ms {speedup:>14.2f}x")