"""
Vector store configurations
"""
from agno.vectordb.qdrant import Qdrant
from agno.vectordb.search import SearchType
import os

# ❌ REMOVE THIS IMPORT
# from .embeddings import get_local_embedder 

def get_qdrant_store(collection_name=None, url=None, embedder=None):
    """Get configured Qdrant vector store"""

    # 1. ⚠️ CRITICAL CHECK FIRST
    # We MUST fail if no embedder is provided, rather than guessing a default
    if embedder is None:
        raise ValueError("You must provide an 'embedder' instance to get_qdrant_store!")

    # 2. Use env var if argument is missing, otherwise use default
    base_collection = collection_name or os.getenv("BASE_COLLECTION_NAME")
    collection = f"{base_collection}_{embedder.id}_hybrid"
    qdrant_host = os.getenv("QDRANT_HOST")
    qdrant_port = os.getenv("QDRANT_PORT")
    qdrant_api_key = os.getenv("QDRANT_API_KEY")
    qdrant_url = f"http://{qdrant_host}:{qdrant_port}"
    print(f"Collection: {collection}")
    return Qdrant(
        collection=collection,
        url=qdrant_url,
        embedder=embedder,
        timeout=10.0,
        api_key=qdrant_api_key,
        search_type=SearchType.hybrid
    )