import pandas as pd
import os
import xlrd  # Reads old .xls files
from openpyxl import Workbook
from openpyxl import load_workbook
from reportlab.pdfgen import canvas
from reportlab.lib.pagesizes import landscape, portrait, A0, A1, A2, A3, A4
from reportlab.lib.colors import Color, black


def convert_xls_to_xlsx(xls_path):
    """Convert .xls to .xlsx while keeping all sheets and data intact."""
    if not xls_path.endswith(".xls"):
        return xls_path 

    xlsx_path = xls_path.replace(".xls", ".xlsx")
    
    # Open .xls file using xlrd
    book = xlrd.open_workbook(xls_path)
    new_book = Workbook()
    new_book.remove(new_book.active)  

    for sheet_index in range(book.nsheets):
        sheet = book.sheet_by_index(sheet_index)
        new_sheet = new_book.create_sheet(title=sheet.name)

        for row_idx in range(sheet.nrows):
            for col_idx in range(sheet.ncols):
                cell_value = sheet.cell(row_idx, col_idx).value
                new_sheet.cell(row=row_idx + 1, column=col_idx + 1, value=cell_value)

    new_book.save(xlsx_path)
    print(f"Converted {xls_path} to {xlsx_path}")
    
    return xlsx_path

def excel_to_pdf(excel_file, pdf_file = "output.pdf"):
    excel_file = convert_xls_to_xlsx(excel_file)  # Convert if .xls
    workbook = load_workbook(excel_file, data_only=True)
    c = canvas.Canvas(pdf_file)

    for sheet_index, sheet in enumerate(workbook.worksheets):
        print("hello")
        num_columns = sheet.max_column
        num_rows = sheet.max_row

        page_size = A2  # page size, customize as needed
        c.setPageSize(page_size)
        
        if sheet_index > 0:
            c.showPage()

        page_width, page_height = page_size
        y = page_height - 20  # Start from top
        
        for row in sheet.iter_rows():
            x = 10  # Start from left
            for cell in row:
                c.drawString(x, y, str(cell.value or ""))
                x += 150  # Adjust column width
            y -= 20  # Adjust row height

    c.save()