import subprocess
import re
import csv
import os
import glob
from collections import defaultdict

def categorize_sncf_transaction(description):
    description = description.lower()
    
    # For salary statements, we'll categorize based on the different components
    if 'salaire' in description:
        return 'Salary'
    if 'prime' in description:
        return 'Bonus/Prime'
    if 'cotisation' in description or 'retenue' in description:
        return 'Deductions'
    if 'impot' in description:
        return 'Tax'
    if 'avantage' in description:
        return 'Benefits'
        
    return 'Other'

def process_sncf_pdf_files(directory, output_csv=False):
    # Get all PDF files in the directory
    pdf_files = glob.glob(os.path.join(directory, "*.pdf"))
    all_transactions = []
    
    for pdf_file in pdf_files:
        try:
            # Convert PDF to text
            result = subprocess.run(['pdftotext', '-layout', pdf_file, '-'], 
                                  capture_output=True, text=True, check=True)
            content = result.stdout
            
            # Extract basic information from the PDF
            lines = content.split('\n')
            month = "Unknown"
            for line in lines:
                if 'salaire de' in line.lower():
                    # Extract month from filename or content
                    month = os.path.basename(pdf_file).split(' ')[2] if len(os.path.basename(pdf_file).split(' ')) > 2 else "Unknown"
                    break
            
            # Add basic transaction record
            all_transactions.append({
                'Date': f"01/{month}/2025",  # Simplified date extraction
                'Description': f"Salaire {month} 2025",
                'Category': 'Salary',
                'Amount': 0,  # Would need more specific parsing
                'Source': os.path.basename(pdf_file)
            })
            
        except (subprocess.CalledProcessError, FileNotFoundError) as e:
            print(f"Error processing {pdf_file}: {e}")
            continue
    
    # Output CSV if requested
    if output_csv and all_transactions:
        csv_file = os.path.join(directory, 'sncf_all_transactions.csv')
        with open(csv_file, 'w', newline='', encoding='utf-8') as csvfile:
            fieldnames = ['Date', 'Description', 'Category', 'Amount', 'Source']
            writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
            writer.writeheader()
            writer.writerows(all_transactions)
        print(f"\nTransaction data saved to {csv_file}")
    
    print(f"--- SNCF Salary Statements ---")
    print(f"Found {len(pdf_files)} salary statement files")
    
    return all_transactions

if __name__ == "__main__":
    import argparse
    
    parser = argparse.ArgumentParser(description='Process SNCF salary statements')
    parser.add_argument('--pdf-dir', default='1-sncf', 
                       help='Directory containing SNCF PDF files')
    parser.add_argument('--csv', action='store_true', 
                       help='Output transaction data to CSV files')
    args = parser.parse_args()
    
    # Process all PDF files in the directory
    process_sncf_pdf_files(args.pdf_dir, args.csv)