import os
import random
from glob import glob
import json
from huggingface_hub import hf_hub_download


from astropy.io import fits
import datasets
from datasets import DownloadManager
from fsspec.core import url_to_fs
from tqdm import tqdm


def make_split_jsonl_files(config_type="tiny", data_dir="./data", 
                           telescope_subdirectories=["INT", "JKT","LCO", "TJO", "WHT"],
                          outdir="./splits", seed=42):
    """
    Create jsonl files for the GBI-16-2D-Legacy dataset.

    config_type: str, default="tiny"
        The type of split to create. Options are "tiny" and "full".
    data_dir: str, default="./data"
        The directory where the FITS files are located.
    telescope_subdirectories: list, default=["INT", "JKT","LCO", "TJO", "WHT"]
        The subdirectories of the data_dir that contain the FITS files for each telescope.
    outdir: str, default="./splits"
        The directory where the jsonl files will be created.
    seed: int, default=42
        The seed for the random split.
    """
    random.seed(seed)
    os.makedirs(outdir, exist_ok=True)

    fits_files = []
    for subdir in telescope_subdirectories:
        fits_files.extend(glob(os.path.join(data_dir, subdir, "*.fits")))

    random.shuffle(fits_files)

    if config_type == "tiny":
        train_files = []
        test_files = []
        for subdir in telescope_subdirectories:
            subdir_files = [f for f in fits_files if subdir in f]
            train_files.extend(subdir_files[:2])
            test_files.extend(subdir_files[2:3])
    elif config_type == "full":
        train_files = []
        test_files = []
        for subdir in telescope_subdirectories:
            subdir_files = [f for f in fits_files if subdir in f]
            split_idx = int(0.8 * len(subdir_files))
            train_files.extend(subdir_files[:split_idx])
            test_files.extend(subdir_files[split_idx:])
    else:
        raise ValueError("Unsupported config_type. Use 'tiny' or 'full'.")

    def create_jsonl(files, split_name):
        output_file = os.path.join(outdir, f"{config_type}_{split_name}.jsonl")
        with open(output_file, "w") as out_f:
            for file in files:
                print(file, flush=True, end="...")
                with fits.open(file, memmap=False) as hdul:
                    image_id = os.path.basename(file).split(".fits")[0]
                
                    telescope = hdul[0].header.get('TELESCOP', 'UNKNOWN')
                    item = {"image_id": image_id, "image": file, "telescope": telescope}
                    out_f.write(json.dumps(item) + "\n")

    create_jsonl(train_files, "train")
    create_jsonl(test_files, "test")

    
if __name__ == "__main__":
    make_split_jsonl_files("tiny")
    make_split_jsonl_files("full")