trustgraph/trustgraph-flow/trustgraph/storage/graph_embeddings/milvus/write.py

"""
Accepts entity/vector pairs and writes them to a Milvus store.
"""

import logging

from .... direct.milvus_graph_embeddings import EntityVectors
from .... base import GraphEmbeddingsStoreService, CollectionConfigHandler
from .... base import AsyncProcessor, Consumer, Producer
from .... base import ConsumerMetrics, ProducerMetrics
from .... schema import IRI, LITERAL

# Module logger
logger = logging.getLogger(__name__)


def get_term_value(term):
    """Extract the string value from a Term"""
    if term is None:
        return None
    if term.type == IRI:
        return term.iri
    elif term.type == LITERAL:
        return term.value
    else:
        # For blank nodes or other types, use id or value
        return term.id or term.value

default_ident = "graph-embeddings-write"
default_store_uri = 'http://localhost:19530'

class Processor(CollectionConfigHandler, GraphEmbeddingsStoreService):

    def __init__(self, **params):

        store_uri = params.get("store_uri", default_store_uri)

        super(Processor, self).__init__(
            **params | {
                "store_uri": store_uri,
            }
        )

        self.vecstore = EntityVectors(store_uri)

        # Register for config push notifications
        self.register_config_handler(self.on_collection_config)

    async def store_graph_embeddings(self, message):

        for entity in message.entities:
            entity_value = get_term_value(entity.entity)

            if entity_value != "" and entity_value is not None:
                for vec in entity.vectors:
                    self.vecstore.insert(
                        vec, entity_value,
                        message.metadata.user,
                        message.metadata.collection
                    )

    @staticmethod
    def add_args(parser):

        GraphEmbeddingsStoreService.add_args(parser)

        parser.add_argument(
            '-t', '--store-uri',
            default=default_store_uri,
            help=f'Milvus store URI (default: {default_store_uri})'
        )

    async def create_collection(self, user: str, collection: str, metadata: dict):
        """
        Create collection via config push - collections are created lazily on first write
        with the correct dimension determined from the actual embeddings.
        """
        try:
            logger.info(f"Collection create request for {user}/{collection} - will be created lazily on first write")
            self.vecstore.create_collection(user, collection)

        except Exception as e:
            logger.error(f"Failed to create collection {user}/{collection}: {e}", exc_info=True)
            raise

    async def delete_collection(self, user: str, collection: str):
        """Delete the collection for graph embeddings via config push"""
        try:
            self.vecstore.delete_collection(user, collection)
            logger.info(f"Successfully deleted collection {user}/{collection}")

        except Exception as e:
            logger.error(f"Failed to delete collection {user}/{collection}: {e}", exc_info=True)
            raise

def run():

    Processor.launch(default_ident, __doc__)