"""
Rebuilds the embedded Qdrant vector store on each boot (free tier = no persistence).
Run as: python -m backend.ingest

Keep this idempotent and fast — it runs on every cold start. Point it at seed
documents baked into the image (e.g. backend/seed_docs/) rather than user uploads,
since uploads won't survive a restart anyway.
"""
import os


def main():
    qdrant_path = os.environ.get("QDRANT_PATH", "/home/user/qdrant_data")

    # Embedded Qdrant — no server process, just a local path.
    # from qdrant_client import QdrantClient
    # client = QdrantClient(path=qdrant_path)
    #
    # 1. read seed docs (Docling parse)
    # 2. chunk + embed (your HF embedding model)
    # 3. client.recreate_collection(...) then client.upsert(...)

    print(f"[ingest] Would rebuild collection at {qdrant_path}")


if __name__ == "__main__":
    main()