import sys
import requests
import pandas as pd
import json
import re

def get_excel_download_url(google_sheet_url):
    """
    Convert a Google Sheets URL to its Excel export URL.
    """
    match = re.search(r'/d/([a-zA-Z0-9-_]+)', google_sheet_url)
    if not match:
        raise ValueError('Invalid Google Sheets URL')
    sheet_id = match.group(1)
    # Export the first sheet as Excel
    return f'https://docs.google.com/spreadsheets/d/{sheet_id}/export?format=xlsx&id={sheet_id}'

def download_excel(url, output_path):
    """
    Download the Excel file from the given URL.
    """
    response = requests.get(url)
    if response.status_code != 200:
        raise Exception(f'Failed to download file: {response.status_code}')
    with open(output_path, 'wb') as f:
        f.write(response.content)

def convert_excel_to_json(excel_path, json_path):
    """
    Read the Excel file, extract columns from the 'Genesis Allocation' sheet, and save as JSON.
    """
    df = pd.read_excel(excel_path, sheet_name='Genesis Allocation')
    # Ensure columns exist
    required_columns = [
        'Placeholder',
        'Laconic Address',
        'Total LPS Allocation',
        'Lock (months)',
        'Vest (months)'
    ]
    for col in required_columns:
        if col not in df.columns:
            raise Exception(f'Missing required column: {col}')

    result = {}
    for _, row in df.iterrows():
        placeholder = str(row['Placeholder']) if not pd.isna(row['Placeholder']) else ''
        laconic_address = str(row['Laconic Address']) if not pd.isna(row['Laconic Address']) else ''
        # Use laconic_address as key if placeholder is missing or empty
        key = placeholder if placeholder and placeholder.lower() != 'nan' else laconic_address
        if not key or key.lower() == 'nan':
            continue
        entry = {
            'total_lps_allocation': row['Total LPS Allocation'] if not pd.isna(row['Total LPS Allocation']) else None,
            'lock_months': row['Lock (months)'] if not pd.isna(row['Lock (months)']) else None,
            'vest_months': row['Vest (months)'] if not pd.isna(row['Vest (months)']) else None,
            'laconic_address': row['Laconic Address'] if not pd.isna(row['Laconic Address']) else None
        }
        result[key] = entry

    with open(json_path, 'w') as f:
        json.dump(result, f, indent=2)

def main():
    if len(sys.argv) != 2:
        print('Usage: python generate-lps-distribution-json.py <google_sheet_url_or_excel_file_path>')
        sys.exit(1)
    input_arg = sys.argv[1]
    if input_arg.startswith('https://'):
        excel_url = get_excel_download_url(input_arg)
        excel_path = 'sheet.xlsx'
        print(f'Downloading Excel file from: {excel_url}')
        download_excel(excel_url, excel_path)
    else:
        excel_path = input_arg
        print(f'Using Excel file at path: {excel_path}')
    json_path = 'distribution.json'
    print('Converting Excel to JSON...')
    convert_excel_to_json(excel_path, json_path)
    print(f'JSON saved to {json_path}')

if __name__ == '__main__':
    main()