import logging
from qdrant_client import QdrantClient
from qdrant_client import models
from config import QDRANT_URL, QDRANT_API_KEY, COLLECTION, VECTOR_SIZE

logger = logging.getLogger(__name__)

logger.info("Initializing raw Qdrant client connection...")
client = QdrantClient(
    url=QDRANT_URL,
    api_key=QDRANT_API_KEY
)

def init_db():
    logger.info("Verifying/Initializing Qdrant database...")
    if not client.collection_exists(COLLECTION):
        logger.info(f"Collection '{COLLECTION}' does not exist. Creating collection...")
        client.create_collection(
            collection_name=COLLECTION,
            vectors_config=models.VectorParams(
                size=VECTOR_SIZE,
                distance=models.Distance.COSINE
            )
        )
        logger.info(f"Collection '{COLLECTION}' successfully created.")
    else:
        logger.info(f"Collection '{COLLECTION}' already exists.")

    logger.info("Creating keyword payload index for metadata.type...")
    client.create_payload_index(
        collection_name=COLLECTION,
        field_name="metadata.type",
        field_schema=models.PayloadSchemaType.KEYWORD
    )
    logger.info("Database payload indexing complete.")