Does Nautilius the file manager customizer allow one to right click and pass into a python function the file right clicked as argument without error?

I am working on creating a way to right click on an .eml file, right click, and have python pull two pieces of data from it and paste them into a new xlsx file and auto open the xlsx file. I would try this code on a Linux but I don't know whether it would throw an error I can't fix. ---------- I did the following on a mac and it failed to execute correctly. A method is to have a shellscript in Automator call a .py file which calls a .ipynb file. The action “Run Shell Script” encountered an error: When I run it on a .eml file I see, “/Applications/Xcode.app/Contents/Developer/usr/bin/python3: can't open file '/users///Documents/run_notebook1.py': [Errno 1] Operation not permitted” When I use automator to test the script with "get specified finder items" The action “Run Shell Script” encountered an error: “Python path configuration: PYTHONHOME = (not set) PYTHONPATH = (not set) program name = '/Users//opt/anaconda3/bin/python' isolated = 0 environment = 1 user site = 1 import site = 1 sys._base_executable = '/Users//opt/anaconda3/bin/python' sys.base_prefix = '/Users//opt/anaconda3' sys.base_exec_prefix = '/Users//opt/anaconda3' sys.platlibdir = 'lib' sys.executable = '/Users//opt/anaconda3/bin/python' sys.prefix = '/Users//opt/anaconda3' sys.exec_prefix = '/Users//opt/anaconda3' sys.path = [ '/Users//opt/anaconda3/lib/python39.zip', '/Users//opt/anaconda3/lib/python3.9', '/Users//opt/anaconda3/lib/python3.9/lib-dynload', ] Fatal Python error: init_fs_encoding: failed to get the Python codec of the filesystem encoding Python runtime state: core initialized ModuleNotFoundError: No module named 'encodings' >Current thread 0x00000001ef41cc00 (most recent call first): Traceback (most recent call last): File "/users//Documents/run_notebook1.py", line 27, in run_notebook(eml_file) File "/users//Documents/run_notebook1.py", line 16, in run_notebook subprocess.run(command, shell=True,check=True) File "/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/subprocess.py", line 528, in run raise CalledProcessError(retcode, process.args, subprocess.CalledProcessError: Command '/Users//opt/anaconda3/bin/jupyter nbconvert --to notebook --execute --inplace --ExecutePreprocessor.timeout=-1 /Users//Documents/process_email1.ipynb' returned non-zero exit status 1. Is the answer where is one is supposed to find python39.zip? sys.path = [ '/Users//opt/anaconda3/lib/python39.zip', '/Users//opt/anaconda3/lib/python3.9', '/Users//opt/anaconda3/lib/python3.9/lib-dynload' I ran the .py file in terminal using python3 file.py without problems. Shellscript in Automator (xcode is installed so I don't need to specify python directory): python3 /users//Documents/run_notebook1.py "$1" The .py file: import sys import subprocess import os def run_notebook(eml_file): # Path to the notebook notebook_path = '/Users//Documents/process_email1.ipynb' # Set environment variable os.environ['EML_FILE_PATH'] = eml_file # Command to run the notebook with nbconvert command = f'/Users//opt/anaconda3/bin/jupyter nbconvert --to notebook --execute --inplace --ExecutePreprocessor.timeout=-1 {notebook_path}' # Run the command subprocess.run(command, shell=True,check=True) # Ensure the file path is passed as argument if len(sys.argv) != 2: print("Usage: python run_notebook.py ") sys.exit(1) # Get the EML file path eml_file = sys.argv # Run the notebook with the EML file path run_notebook(eml_file) The .ipynb file import email import pandas as pd import os from email import policy from email.parser import BytesParser from datetime import datetime import subprocess # Retrieve the EML file path from the environment variable eml_file = os.getenv('EML_FILE_PATH') # Check if the environment variable is set if not eml_file: raise ValueError("EML_FILE_PATH environment variable not set. Please pass the file path.") # Function to extract email file information def extract_eml_info(eml_file): # Parse the .eml file with open(eml_file, 'rb') as f: msg = BytesParser(policy=policy.default).parse(f) # Extract the file name (without extension) file_name = os.path.splitext(os.path.basename(eml_file)) # Extract the most recent date of the email conversation date_str = msg['date'] if date_str: try: email_date = email.utils.parsedate_to_datetime(date_str) except Exception as e: email_date = None else: email_date = None return file_name, email_date # Function to remove timezone information from DataFrame def remove_timezone_from_df(df): # Iterate over all columns for col in df.columns: if pd.api.types.is_datetime64_any_dtype(df[col]): # Remove timezone info if it's a datetime column df[col] = df[col].dt.tz_localize(None) return df # Function to process EML files def process_eml_files(eml_files): # List to store extracted data data = [] for eml_file in eml_files: file_name, email_date = extract_eml_info(eml_file) data.append([file_name, email_date]) # Create DataFrame df = pd.DataFrame(data, columns=['File Name', 'Most Recent Date']) df = remove_timezone_from_df(df) # Write to Excel output_file = 'output_eml_data.xlsx' df.to_excel(output_file, index=False, engine='openpyxl') print(f"Data written to {output_file}") # Open the newly created Excel file if os.name == 'nt': # For Windows os.startfile(output_file) elif os.name == 'posix': # For macOS/Linux subprocess.call(['open', output_file]) return output_file # Process the provided EML file process_eml_files([eml_file])