| import json | |
| import pandas as pd | |
| import sys | |
| from tqdm import tqdm | |
| import uuid | |
| def main(input_file, output_file): | |
| # Read JSON data from file | |
| with open(input_file, 'r') as f: | |
| data = json.load(f) | |
| # Process each entry and create a list of dictionaries for DataFrame | |
| records = [] | |
| for entry in tqdm(data): | |
| try: | |
| ip = entry['ip'] | |
| for port in entry['ports']: | |
| # Initialize service fields | |
| service_name = None | |
| service_banner = None | |
| # Extract service information if available | |
| if 'service' in port: | |
| service = port['service'] | |
| service_name = service.get('name') | |
| service_banner = service.get('banner') | |
| # Create record with consistent fields | |
| record = { | |
| 'ip': str(uuid.uuid4()), | |
| 'service_name': service_name, | |
| 'service_banner': service_banner | |
| } | |
| if service_banner is not None: | |
| records.append(record) | |
| except KeyError as e: | |
| print(f"Keyerror on following entry: `{entry}`... skipping!") | |
| pass | |
| # Create DataFrame | |
| df = pd.DataFrame(records) | |
| # Write to Parquet format | |
| df.to_parquet(output_file) | |
| print(f"Successfully saved Parquet file to {output_file}") | |
| if __name__ == "__main__": | |
| if len(sys.argv) != 3: | |
| print("Usage: python script.py <input.json> <output.parquet>") | |
| sys.exit(1) | |
| input_json = sys.argv[1] | |
| output_parquet = sys.argv[2] | |
| main(input_json, output_parquet) | |