from pathlib import Path

from src.process.io import prepare_dirs, unzip, upload
from src.process.processor import process_dbf

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

# === Step 2: Extract all ZIP files from drive/download to local/processed ===
unzip(local_processed_dir, drive_download_dir)

# === Step 3: Process all .dbf files ===
move_list = []
for dbf in local_processed_dir.rglob("*.dbf"):
    move_list = process_dbf(dbf, move_list=move_list)

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