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#!/usr/bin/env python3
import json
import random
import string
import sys
import os
from datetime import datetime
def random_string(length):
"""Generate a random string of given length."""
return ''.join(random.choices(string.ascii_letters + string.digits + ' ', k=length))
def random_email():
"""Generate a random email address."""
username = ''.join(random.choices(string.ascii_lowercase, k=random.randint(5, 12)))
domain = ''.join(random.choices(string.ascii_lowercase, k=random.randint(4, 8)))
tld = random.choice(['com', 'org', 'net', 'edu', 'gov'])
return f"{username}@{domain}.{tld}"
def random_phone():
"""Generate a random phone number."""
return f"+1-{random.randint(100, 999)}-{random.randint(100, 999)}-{random.randint(1000, 9999)}"
def generate_user():
"""Generate a random user object."""
return {
"id": random.randint(1, 1000000),
"username": random_string(random.randint(6, 15)),
"email": random_email(),
"first_name": random_string(random.randint(4, 12)),
"last_name": random_string(random.randint(4, 15)),
"age": random.randint(18, 80),
"phone": random_phone(),
"is_active": random.choice([True, False]),
"balance": round(random.uniform(0, 10000), 2),
"tags": [random_string(random.randint(3, 8)) for _ in range(random.randint(1, 5))],
"metadata": {
"last_login": f"2024-{random.randint(1, 12):02d}-{random.randint(1, 28):02d}T{random.randint(0, 23):02d}:{random.randint(0, 59):02d}:{random.randint(0, 59):02d}Z",
"login_count": random.randint(0, 500),
"preferences": {
"theme": random.choice(["dark", "light", "auto"]),
"notifications": random.choice([True, False]),
"language": random.choice(["en", "es", "fr", "de", "ja"])
}
}
}
def generate_product():
"""Generate a random product object."""
return {
"id": f"prod_{random.randint(1000, 99999)}",
"name": random_string(random.randint(10, 30)),
"description": random_string(random.randint(50, 200)),
"price": round(random.uniform(1, 1000), 2),
"category": random.choice(["electronics", "clothing", "books", "home", "sports", "toys"]),
"in_stock": random.randint(0, 100),
"rating": round(random.uniform(1, 5), 1),
"reviews": random.randint(0, 1000),
"specifications": {
"weight": f"{random.uniform(0.1, 50):.2f}kg",
"dimensions": f"{random.randint(1, 100)}x{random.randint(1, 100)}x{random.randint(1, 100)}cm",
"color": random.choice(["red", "blue", "green", "black", "white", "yellow", "purple"])
}
}
def generate_order():
"""Generate a random order object."""
return {
"order_id": f"order_{random.randint(10000, 999999)}",
"user_id": random.randint(1, 1000000),
"items": [
{
"product_id": f"prod_{random.randint(1000, 99999)}",
"quantity": random.randint(1, 5),
"price": round(random.uniform(10, 500), 2)
} for _ in range(random.randint(1, 8))
],
"total": round(random.uniform(20, 2000), 2),
"status": random.choice(["pending", "processing", "shipped", "delivered", "cancelled"]),
"created_at": f"2024-{random.randint(1, 12):02d}-{random.randint(1, 28):02d}T{random.randint(0, 23):02d}:{random.randint(0, 59):02d}:{random.randint(0, 59):02d}Z",
"shipping_address": {
"street": f"{random.randint(1, 9999)} {random_string(random.randint(5, 15))} St",
"city": random_string(random.randint(6, 12)),
"state": random_string(2).upper(),
"zip_code": f"{random.randint(10000, 99999)}",
"country": "US"
}
}
def generate_large_json(target_size_mb=100, output_file="benchmark.json"):
"""Generate a large JSON file with mixed data types."""
target_size_bytes = target_size_mb * 1024 * 1024
data = {
"metadata": {
"generated_at": datetime.now().isoformat(),
"target_size_mb": target_size_mb,
"generator_version": "1.0"
},
"users": [],
"products": [],
"orders": [],
"analytics": {
"page_views": [],
"server_metrics": []
}
}
print(f"Generating JSON file targeting {target_size_mb}MB...")
# Keep track of approximate size
current_size = 0
batch_size = 100 # Generate in batches to avoid memory issues
while current_size < target_size_bytes:
# Add users
for _ in range(batch_size):
data["users"].append(generate_user())
# Add products
for _ in range(batch_size // 2):
data["products"].append(generate_product())
# Add orders
for _ in range(batch_size // 3):
data["orders"].append(generate_order())
# Add some analytics data
for _ in range(batch_size):
data["analytics"]["page_views"].append({
"timestamp": f"2024-{random.randint(1, 12):02d}-{random.randint(1, 28):02d}T{random.randint(0, 23):02d}:{random.randint(0, 59):02d}:{random.randint(0, 59):02d}Z",
"page": f"/{random_string(random.randint(5, 15))}",
"user_id": random.randint(1, 1000000),
"duration": random.randint(1, 300)
})
for _ in range(batch_size // 10):
data["analytics"]["server_metrics"].append({
"timestamp": f"2024-{random.randint(1, 12):02d}-{random.randint(1, 28):02d}T{random.randint(0, 23):02d}:{random.randint(0, 59):02d}:{random.randint(0, 59):02d}Z",
"cpu_usage": round(random.uniform(0, 100), 2),
"memory_usage": round(random.uniform(0, 100), 2),
"disk_io": random.randint(0, 1000),
"network_io": random.randint(0, 10000)
})
# Estimate current size (rough approximation)
current_size = (
len(data["users"]) * 400 + # Rough estimate per user
len(data["products"]) * 300 +
len(data["orders"]) * 500 +
len(data["analytics"]["page_views"]) * 150 +
len(data["analytics"]["server_metrics"]) * 200
)
if current_size % (10 * 1024 * 1024) < batch_size * 400: # Print progress every ~10MB
print(f"Generated approximately {current_size / (1024 * 1024):.1f}MB...")
print(f"Writing to {output_file}...")
with open(output_file, 'w') as f:
json.dump(data, f, separators=(',', ':')) # Compact format
# Get actual file size
actual_size = os.path.getsize(output_file)
actual_size_mb = actual_size / (1024 * 1024)
print(f"✓ Generated {output_file}")
print(f" Target size: {target_size_mb}MB")
print(f" Actual size: {actual_size_mb:.1f}MB ({actual_size:,} bytes)")
print(f" Users: {len(data['users']):,}")
print(f" Products: {len(data['products']):,}")
print(f" Orders: {len(data['orders']):,}")
print(f" Page views: {len(data['analytics']['page_views']):,}")
print(f" Server metrics: {len(data['analytics']['server_metrics']):,}")
def main():
if len(sys.argv) > 1:
try:
target_size = int(sys.argv[1])
except ValueError:
print("Usage: python3 generate_json.py [size_in_mb] [output_file]")
sys.exit(1)
else:
target_size = 100
if len(sys.argv) > 2:
output_file = sys.argv[2]
else:
output_file = f"benchmark_{target_size}mb.json"
try:
generate_large_json(target_size, output_file)
except KeyboardInterrupt:
print("\n\nInterrupted! Partial file may have been created.")
sys.exit(1)
except Exception as e:
print(f"Error: {e}")
sys.exit(1)
if __name__ == "__main__":
main()
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