split into 2 diff files and use concurrent thread

dataset/load_data.py

@@ -1,5 +1,7 @@
 import csv
+import os
 import requests
+import concurrent.futures
 
 # Define the endpoint URL
 endpoint_url = "http://localhost:8080/v1/qrcodetypes/scan" 
@@ -7,21 +9,55 @@ 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, prefix URLs, and send POST requests
+# 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'] 
-        url_with_prefix = ensure_url_prefix(url)
-        response = requests.post(endpoint_url, json={"data": url_with_prefix})
-        
+            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_with_prefix}")
+                print(f"Successfully sent data: {url}")
             else:
-            print(f"Failed to send data: {url_with_prefix}, Status code: {response.status_code}")
+                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.")