#!/usr/bin/env python
"""Hugging Face Spaces entrypoint for HyperView.

This script serves a pre-computed demo dataset stored in LanceDB.
The dataset is computed at Docker build time by scripts/precompute_hf_demo.py.

For HuggingFace Spaces deployment under Hyper3Labs/HyperView.
"""

import os

# Configuration from environment
HOST = os.environ.get("HOST", "0.0.0.0")
PORT = int(os.environ.get("PORT", 7860))
DATASET_NAME = os.environ.get("DEMO_DATASET", "cifar10_hf_demo")


def main() -> None:
    """Load pre-computed dataset and launch server."""
    import hyperview as hv

    dataset = hv.Dataset(DATASET_NAME)

    spaces = dataset.list_spaces()
    layouts = dataset.list_layouts()

    if not spaces or not layouts:
        print("Pre-computed embeddings not found in storage.")
        print("Falling back to computing on startup (this will be slow)...")

        from scripts.precompute_hf_demo import create_demo_dataset

        dataset = create_demo_dataset()
    else:
        print(f"Loaded dataset '{DATASET_NAME}' with pre-computed embeddings")

    print(f"\nStarting HyperView server on {HOST}:{PORT}")
    print("=" * 50)

    hv.launch(
        dataset,
        host=HOST,
        port=PORT,
        open_browser=False,
    )


if __name__ == "__main__":
    main()