import json
from datasets import load_dataset, Dataset

def check_no_overlap_and_min_duration(utterances, min_duration=1.2):
    """
    Check that:
    1. No overlap between consecutive utterances
    2. Every utterance is at least min_duration seconds long
    """
    # Empty utterance list should not be considered valid.
    if not utterances:
        return False

    prev_end = -float("inf")
    for utt in utterances:
        words = utt["words"]
        if not words:
            return False
        utt_start = words[0]["start_time"]
        utt_end = words[-1]["end_time"]

        # Check no overlap with previous utterance
        if utt_start < prev_end:
            return False

        # Check minimum duration
        if utt_end - utt_start < min_duration:
            return False

        prev_end = utt_end
    return True


def main():
    ds1 = load_dataset("humanify/si", name="naturalistic", split="test", streaming=True)
    ds2 = load_dataset("humanify/si", name="improvised", split="test", streaming=True)
    # merge
    from itertools import chain
    ds = chain(ds1, ds2)

    selected = []
    for sample in ds:
        utterances = json.loads(sample["utterances_json"])
        if check_no_overlap_and_min_duration(utterances):
            selected.append(sample)
            print(f"[{len(selected)}/100] Selected: {sample['conversation_id']}")
            if len(selected) >= 50:
                break

    print(f"\nTotal selected: {len(selected)}")
    if len(selected) < 50:
        print("WARNING: Not enough samples meeting criteria!")

    rows = {k: [] for k in selected[0].keys()}
    for s in selected:
        for k, v in s.items():
            rows[k].append(v)

    eval_ds = Dataset.from_dict(rows)
    print(len(eval_ds))

    if len(eval_ds) == 50:
        print(f"\nDataset info: {eval_ds}")
        print("Pushing to hub: humanify/si-eval-50 ...")
        eval_ds.push_to_hub("humanify/si-eval-50", split="test")
        print("Done!")
    else:
        print(len(eval_ds))


if __name__ == "__main__":
    main()