from pathlib import Path

from src.process.io import prepare_dirs, copy_to_local, upload
from src.process.processor import process_excel

# === Step 1: Prepare directory paths for local and drive folders ===
local_processed_dir, drive_download_dir, drive_processed_dir = (
    prepare_dirs("esdac", Path(__file__).parent.stem)
)

# === Step 2: Copy specific file(s) from drive/download to local/processed ===
name = "LUCAS_2015_Topsoil_data_of_Switzerland-with-coordinates.xlsx_.xlsx"
copy_to_local(local_processed_dir, drive_download_dir, files=[name])

# === Step 3: Process the Excel file into CSV ===
move_list = process_excel(local_processed_dir / name, skip_rows=1)

# === Step 4: Upload processed files to drive/processed ===
upload(local_processed_dir, drive_processed_dir, move_list)