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import pandas as pd
import random
import string
import numpy as np

# Function to generate a random URL
def generate_random_url():
    letters = string.ascii_lowercase
    domain = ''.join(random.choice(letters) for i in range(random.randint(5, 10)))
    extension = random.choice(['com', 'net', 'org', 'biz', 'info', 'co'])
    return f"http://www.{domain}.{extension}"

# Function to generate random data for additional columns
def generate_random_data(size):
    return np.random.rand(size)

# Number of URLs to generate
num_urls = 4000000

# Generate random URLs
urls = [generate_random_url() for _ in range(num_urls)]

# Create a DataFrame with 'URL' column
df = pd.DataFrame(urls, columns=['URL'])

# Adding 10 more random columns
for i in range(10):
    col_name = f'Random_{i+1}'
    df[col_name] = generate_random_data(num_urls)

# Adding some duplicates
num_duplicates = 3000
duplicate_indices = random.sample(range(num_urls), num_duplicates)

for index in duplicate_indices:
    df.at[index, 'URL'] = df.at[index // 2, 'URL']

# Shuffle the DataFrame to randomize the order
df = df.sample(frac=1).reset_index(drop=True)

# Print the DataFrame info
print(df.info())

# Print the first few rows of the DataFrame
print(df.head())

df.to_csv('waybackmachines-www.amazon.com.csv')