utils/logs_generator.py

import json
from datetime import datetime, timedelta
import random
from faker import Faker

# Initialize Faker instance
fake = Faker()

# Sample data
actions = ["LOGIN", "LOGOUT", "SELECT", "UPDATE", "DELETE"]
objects_accessed = [
    "System Configurations",
    "Employee Records",
    "Order Details",
    "User Profiles",
    "Transaction Logs",
    "Server Logs",
    "Product Catalog",
    "Payment Information",
    "Customer Feedback",
    "Internal Reports",
    "Audit Trails",
    "Access Logs",
    "Security Policies",
    "Employee Attendance",
    "Network Configurations",
    "HR Records",
    "Financial Statements",
    "Inventory Data",
]
status_options = ["Success", "Failure"]

# Function to generate a random IP address
def generate_ip():
    return f"{random.randint(1, 255)}.{random.randint(0, 255)}.{random.randint(0, 255)}.{random.randint(0, 255)}"

# Function to generate a random timestamp within a specific day
def generate_random_timestamp(date):
    random_time = timedelta(seconds=random.randint(0, 86400))  # Random seconds in a day
    return (date + random_time).isoformat()

# Function to generate log entry
def generate_log_entry(date):
    timestamp = generate_random_timestamp(date)
    user = fake.name()
    action = random.choice(actions)
    object_accessed = random.choice(objects_accessed)
    ip_address = generate_ip()
    status = random.choice(status_options)
    
    return {
        "timestamp": timestamp,
        "user": user,
        "action": action,
        "objectAccessed": object_accessed,
        "ipAddress": ip_address,
        "status": status,
    }

# Define your start and end date
start_date = datetime(2025, 1, 1)
end_date = datetime(2025, 8, 2)

# Generate logs per day
log_entries = []
current_date = start_date
while current_date <= end_date:
    logs_per_day = random.randint(15, 20)  # Generate 15 to 20 logs per day
    for _ in range(logs_per_day):
        log_entries.append(generate_log_entry(current_date))
    current_date += timedelta(days=1)  # Move to the next day

# Define the path to the JSON file
file_path = "audit_logs.json"

# Write the generated logs to the file
with open(file_path, "w") as json_file:
    json.dump(log_entries, json_file, indent=4)

print(f"Logs have been written to {file_path}")