Added filepath check

netbox_push.py

@@ -1,9 +1,13 @@
 import csv
-import pynetbox
-from netbox_connection import connect_to_netbox
+import os
 from concurrent.futures import ThreadPoolExecutor
 import configparser
+import pynetbox
 from tqdm import tqdm
+from netbox_connection import connect_to_netbox
+
+# Get the directory of the current script
+script_dir = os.path.dirname(os.path.abspath(__file__))
 
 def process_row(row, pbar):
     """
@@ -67,7 +71,8 @@ def write_data_to_netbox(url, token, csv_file):
     global netbox
     netbox = connect_to_netbox(url, token)
 
-    with open(csv_file, 'r') as file:
+    csv_file_path = os.path.join(script_dir, csv_file)
+    with open(csv_file_path, 'r') as file:
         reader = csv.DictReader(file)
         rows = list(reader)
 
@@ -81,7 +86,7 @@ def write_data_to_netbox(url, token, csv_file):
 
 # Read URL and token from var.ini
 config = configparser.ConfigParser()
-config.read('var.ini')
+config.read(os.path.join(script_dir, 'var.ini'))
 url = config['credentials']['url']
 token = config['credentials']['token']
 

nmap_compare.py

@@ -2,6 +2,9 @@
 from datetime import datetime
 import os
 
+# Get the directory of the current script
+script_dir = os.path.dirname(os.path.abspath(__file__))
+
 def get_file_path(directory, date_time):
     """
     Generate a file path based on the directory and date.
@@ -13,7 +16,7 @@ def get_file_path(directory, date_time):
     Returns:
     - file_path (str): The full file path based on the directory and date.
     """
-    return os.path.join(directory, f'nmap_results_{date_time.strftime("%Y-%m-%d_%H-%M-%S")}.csv')
+    return os.path.join(script_dir, directory, f'nmap_results_{date_time.strftime("%Y-%m-%d_%H-%M-%S")}.csv')
 
 def get_latest_files(directory, num_files=2):
     """
@@ -26,19 +29,20 @@ def get_latest_files(directory, num_files=2):
     Returns:
     - files (list): The list of latest CSV file names.
     """
-    files = [f for f in os.listdir(directory) if f.endswith('.csv')]
-    files.sort(key=lambda x: os.path.getmtime(os.path.join(directory, x)), reverse=True)
+    full_directory = os.path.join(script_dir, directory)
+    files = [f for f in os.listdir(full_directory) if f.endswith('.csv')]
+    files.sort(key=lambda x: os.path.getmtime(os.path.join(full_directory, x)), reverse=True)
     return files[:num_files]
 
 # Directory for result files
-directory = 'results/'
+directory = 'results'
 
 # Get the two latest file paths
 latest_files = get_latest_files(directory)
 file_paths = [get_file_path(directory, datetime.strptime(file_name[13:32], "%Y-%m-%d_%H-%M-%S")) for file_name in latest_files]
 
 # Output file path
-output_file_path = 'ipam_addresses.csv'
+output_file_path = os.path.join(script_dir, 'ipam_addresses.csv')
 
 def read_csv(file_path):
     """
@@ -67,7 +71,7 @@ def write_csv(data, file_path):
     - file_path (str): The path to the output CSV file.
     """
     with open(file_path, 'w', newline='') as file:
-        fieldnames = ['address', 'dns_name', 'status', 'scantime', 'tags', 'tenant', 'VRF']  # Added 'VRF' to fieldnames
+        fieldnames = ['address', 'dns_name', 'status', 'scantime', 'tags', 'tenant', 'VRF']
         writer = csv.DictWriter(file, fieldnames=fieldnames)
 
         # Write header

nmap_scan_multi_dns.py

@@ -14,6 +14,8 @@
 # Lock for writing to CSV file
 csv_lock = threading.Lock()
 
+# Get the directory of the current script
+script_dir = os.path.dirname(os.path.abspath(__file__))
 
 def read_from_csv(filename):
     """
@@ -25,7 +27,8 @@ def read_from_csv(filename):
     Returns:
     - data (list): A list of dictionaries representing rows from the CSV file.
     """
-    with open(filename, 'r') as file:
+    filepath = os.path.join(script_dir, filename)
+    with open(filepath, 'r') as file:
         reader = csv.DictReader(file)
         data = [row for row in reader]
     return data
@@ -42,8 +45,9 @@ def remove_scanned_prefixes(data, scanned_prefixes):
     updated_data = [row for row in data if row['Prefix'] not in scanned_prefixes]
 
     # Rewrite the updated data to the CSV file
-    with open('ipam_prefixes.csv', 'w', newline='') as file:
-        fieldnames = ['Prefix', 'VRF', 'Status', 'Tags', 'Tenant']  # Added 'VRF' to fieldnames
+    filepath = os.path.join(script_dir, 'ipam_prefixes.csv')
+    with open(filepath, 'w', newline='') as file:
+        fieldnames = ['Prefix', 'VRF', 'Status', 'Tags', 'Tenant']
         writer = csv.DictWriter(file, fieldnames=fieldnames)
         writer.writeheader()
         writer.writerows(updated_data)
@@ -110,12 +114,15 @@ def run_nmap_on_prefixes(data, output_folder):
     results = []
     scanned_prefixes = []
 
+    # Create the full path for the output folder
+    output_folder_path = os.path.join(script_dir, output_folder)
+
     # Filter rows to scan only those with status 'active' and without the tag 'Disable Automatic Scanning'
     rows_to_scan = [row for row in data if row['Status'] == 'active' and 'Disable Automatic Scanning' not in row['Tags']]
 
     script_start_time = datetime.now()  # Get the script start time
 
-    with ThreadPoolExecutor(max_workers=5) as executor:  # Adjust the max_workers parameter based on your system's capabilities
+    with ThreadPoolExecutor(max_workers=5) as executor:
         # Use executor.map to asynchronously run the scans and get results
         futures = {executor.submit(run_nmap_on_prefix, row['Prefix'], row['Tenant'], row['VRF']): row for row in rows_to_scan}
 
@@ -125,8 +132,7 @@ def run_nmap_on_prefixes(data, output_folder):
                 with csv_lock:
                     results.extend(prefix_results)
                     scanned_prefixes.append(futures[future]['Prefix'])
-                    write_results_to_csv(prefix_results, output_folder, script_start_time)  # Pass script start time
-
+                    write_results_to_csv(prefix_results, output_folder_path, script_start_time)
 
     remove_scanned_prefixes(data, scanned_prefixes)
     return results
@@ -151,8 +157,8 @@ def write_results_to_csv(results, output_folder, script_start_time):
     # Check if the file is empty
     is_empty = not os.path.exists(output_filename) or os.stat(output_filename).st_size == 0
 
-    with open(output_filename, 'a', newline='') as file:  # Use 'a' (append) mode to add results to the file
-        fieldnames = ['address', 'dns_name', 'status', 'tags', 'tenant', 'VRF', 'scantime']  # Added 'VRF' to fieldnames
+    with open(output_filename, 'a', newline='') as file:
+        fieldnames = ['address', 'dns_name', 'status', 'tags', 'tenant', 'VRF', 'scantime']
         writer = csv.DictWriter(file, fieldnames=fieldnames)
 
         # Add headers if the file is empty
@@ -165,4 +171,4 @@ def write_results_to_csv(results, output_folder, script_start_time):
 if __name__ == "__main__":
     data = read_from_csv('ipam_prefixes.csv')
     output_folder = 'results'
-    run_nmap_on_prefixes(data, output_folder)
+    run_nmap_on_prefixes(data, output_folder)