from pathlib import Path
import csv
import os


# ====== SET YOUR ROOT DATA DIRECTORY HERE ======
# Example:
# root_dir = Path("/home/yourname/datadir")
root_dir = Path("/home/buddhiw/Downloads/SyntheticV5/SyntheticDatasetFINAL/Train/SyntheticGenV5/")

train_dir = root_dir / "Train"
output_csv = train_dir / "metadata.csv"

domains = ["Urban", "Rural"]

rows = []
missing_mask = 0
missing_mask_rgb = 0
total_images = 0

for domain in domains:
    image_dir = train_dir / domain / "images_png"
    mask_dir = train_dir / domain / "masks_png"
    mask_rgb_dir = train_dir / domain / "mask_rgb_png"

    if not image_dir.exists():
        print(f"Skipping {domain}: image folder not found -> {image_dir}")
        continue

    image_files = sorted(image_dir.glob("*.png"))

    for image_path in image_files:
        total_images += 1
        file_name = image_path.name

        mask_path = mask_dir / file_name
        mask_rgb_path = mask_rgb_dir / file_name

        if not mask_path.exists():
            print(f"Missing mask file for: {image_path}")
            missing_mask += 1
            continue

        if not mask_rgb_path.exists():
            print(f"Missing RGB mask file for: {image_path}")
            missing_mask_rgb += 1
            continue

        rows.append({
            "image_file_name": f"{domain}/images_png/{file_name}",
            "mask_file_name": f"{domain}/masks_png/{file_name}",
            "mask_rgb_file_name": f"{domain}/mask_rgb_png/{file_name}",
            "domain": domain,
            "source_dataset": "LoveDA"
        })

# Save CSV
with open(output_csv, "w", newline="", encoding="utf-8") as f:
    writer = csv.DictWriter(
        f,
        fieldnames=[
            "image_file_name",
            "mask_file_name",
            "mask_rgb_file_name",
            "domain",
            "source_dataset"
        ]
    )
    writer.writeheader()
    writer.writerows(rows)

print("\nDone.")
print(f"Total images found      : {total_images}")
print(f"Valid matched samples   : {len(rows)}")
print(f"Missing masks           : {missing_mask}")
print(f"Missing RGB masks       : {missing_mask_rgb}")
print(f"CSV saved to            : {output_csv}")