scripts/cloud/pull_from_hub.py

"""Pull cloud-computed artifacts from HF Hub to local machine.

Run this locally after cloud jobs finish. Pulls only small files:
  - embeddings parquet (~30MB)
  - enriched parquet with full text (~200MB)

Usage:
    python scripts/cloud/pull_from_hub.py
"""

import os
from pathlib import Path
from huggingface_hub import hf_hub_download
from dotenv import load_dotenv

load_dotenv(".env")
token = os.environ.get("HF_TOKEN")
REPO = "midah/patent-wireframes"

ARTIFACTS = [
    ("embeddings_2022_vitl14.parquet", "data/embeddings/embeddings_2022_vitl14.parquet"),
    ("enriched_2022_full.parquet",     "data/enriched/enriched_2022_full.parquet"),
]

for remote_name, local_path in ARTIFACTS:
    dest = Path(local_path)
    dest.parent.mkdir(parents=True, exist_ok=True)
    try:
        path = hf_hub_download(
            repo_id=REPO, filename=remote_name,
            repo_type="dataset", token=token, local_dir=str(dest.parent),
        )
        size = Path(path).stat().st_size / 1e6
        print(f"✓ {remote_name} → {local_path}  ({size:.1f}MB)")
    except Exception as e:
        print(f"✗ {remote_name}: {e}")