from pathlib import Path
from src.process.io import prepare_dirs, unzip, 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: Unzip all ZIP files from drive/download into local/processed ===
unzip(local_processed_dir, drive_download_dir)

# === Step 3: Convert Excel file to CSV (auto-detect header row) ===
move_list = process_excel(
    local_processed_dir / "Biochar_Meta-analysis_ Database/Biochar_Meta-analysis_ Database.xls"
)

# === Step 4: Upload processed files to drive/processed and optionally clean up local ===
upload(local_processed_dir, drive_processed_dir, move_list)