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

def categorize_laposte_transaction(description):
    """Categorize La Poste transactions"""
    description = description.lower()
    
    if 'virement' in description:
        return 'Transfer'
    if 'retrait' in description:
        return 'Cash Withdrawal'
    if 'carte' in description or 'paiement' in description:
        return 'Card Payment'
    if 'frais' in description or 'cotisation' in description:
        return 'Bank Fees'
    if 'cotis' in description:
        return 'Deductions'
    if 'impot' in description:
        return 'Tax'
    if 'edf' in description or 'bouygues' in description or 'orange' in description:
        return 'Utilities'
        
    return 'Other'

def process_laposte_pdf_files(directory, output_csv=False, output_dir='../../output/csv'):
    """Process La Poste account PDF files with improved transaction extraction"""
    # 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 transactions from the PDF
            lines = content.split('\n')
            in_transaction_section = False
            
            for line in lines:
                # Look for the transaction table section
                if 'Opérations' in line:
                    in_transaction_section = True
                    continue
                
                # Skip headers and footers
                if not in_transaction_section or 'Date' in line or 'Total' in line or 'Page' in line:
                    continue
                    
                # Match transaction lines - they have date and amount
                if re.match(r'\s*\d{2}/\d{2}/\d{4}', line):
                    parts = re.split(r'\s{2,}', line)
                    if len(parts) >= 3:
                        try:
                            date = parts[0].strip()
                            description = parts[1].strip() if len(parts) > 2 else ''
                            
                            # Extract amount (look for numeric values with ¤ or €)
                            amount = 0
                            for part in parts[2:]:
                                part = part.strip().replace('¤', '').replace('€', '')
                                if re.match(r'[\d.,]+', part):
                                    amount_str = part.replace(' ', '').replace(',', '.')
                                    try:
                                        amount = float(amount_str)
                                        break
                                    except ValueError:
                                        continue
                            
                            category = categorize_laposte_transaction(description)
                            
                            # Only add if amount is valid
                            if amount > 0:
                                all_transactions.append({
                                    'Date': date,
                                    'Description': description,
                                    'Category': category,
                                    'Amount': amount,
                                    'Source': os.path.basename(pdf_file)
                                })
                        except (ValueError, IndexError):
                            continue
            
        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(output_dir, 'laposte_all_transactions.csv')
        os.makedirs(output_dir, exist_ok=True)
        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"--- La Poste Account Statements ---")
    print(f"Found {len(pdf_files)} account statement files")
    print(f"Processed {len(all_transactions)} transactions")
    
    return all_transactions

if __name__ == "__main__":
    import argparse
    
    parser = argparse.ArgumentParser(description='Process La Poste (CCP) account statements')
    parser.add_argument('--pdf-dir', default='../data/pdf/la_poste', 
                       help='Directory containing La Poste PDF files')
    parser.add_argument('--output-dir', default='../../output/csv', 
                       help='Directory to save CSV output 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_laposte_pdf_files(args.pdf_dir, args.csv, args.output_dir)