64 lines
2.5 KiB
Python
64 lines
2.5 KiB
Python
import csv
|
|
import os
|
|
import requests
|
|
import concurrent.futures
|
|
|
|
# Define the endpoint URL
|
|
endpoint_url = "http://localhost:8080/v1/qrcodetypes/scan"
|
|
|
|
# Path to the CSV file
|
|
csv_file_path = "malicious_phish.csv"
|
|
|
|
# Directory to store the split CSV files
|
|
split_files_dir = "split_csv_files"
|
|
os.makedirs(split_files_dir, exist_ok=True)
|
|
|
|
# Function to ensure URL starts with http:// or https://
|
|
def ensure_url_prefix(url):
|
|
if not (url.startswith("http://") or url.startswith("https://")):
|
|
return "https://" + url
|
|
return url
|
|
|
|
# Read the CSV file and split into 20 files
|
|
def split_csv_file(csv_file_path, split_files_dir, num_splits=20):
|
|
with open(csv_file_path, newline='') as csvfile:
|
|
reader = list(csv.DictReader(csvfile))
|
|
total_rows = len(reader)
|
|
rows_per_file = total_rows // num_splits
|
|
|
|
for i in range(num_splits):
|
|
split_file_path = os.path.join(split_files_dir, f"split_file_{i+1}.csv")
|
|
with open(split_file_path, 'w', newline='') as split_file:
|
|
writer = csv.DictWriter(split_file, fieldnames=['url', 'type'])
|
|
writer.writeheader()
|
|
start_index = i * rows_per_file
|
|
end_index = (i + 1) * rows_per_file if i != num_splits - 1 else total_rows
|
|
for row in reader[start_index:end_index]:
|
|
row['url'] = ensure_url_prefix(row['url'])
|
|
writer.writerow(row)
|
|
|
|
# Function to process a CSV file and send POST requests
|
|
def process_csv_file(csv_file_path):
|
|
with open(csv_file_path, newline='') as csvfile:
|
|
reader = csv.DictReader(csvfile)
|
|
for row in reader:
|
|
url = row['url'] # Column header for URL is 'url'
|
|
response = requests.post(endpoint_url, json={"data": url})
|
|
if response.status_code == 200:
|
|
print(f"Successfully sent data: {url}")
|
|
else:
|
|
print(f"Failed to send data: {url}, Status code: {response.status_code}")
|
|
|
|
# Split the original CSV file into 20 parts
|
|
split_csv_file(csv_file_path, split_files_dir)
|
|
|
|
# Get the list of split CSV files
|
|
split_files = [os.path.join(split_files_dir, file) for file in os.listdir(split_files_dir) if file.endswith('.csv')]
|
|
|
|
# Execute the requests concurrently
|
|
with concurrent.futures.ThreadPoolExecutor(max_workers=20) as executor:
|
|
futures = [executor.submit(process_csv_file, split_file) for split_file in split_files]
|
|
concurrent.futures.wait(futures)
|
|
|
|
print("Processing completed.")
|