File size: 793 Bytes
9bc98d9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | 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)
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