import os
import asyncio
from lightrag.kg.postgres_impl import PGGraphStorage
from lightrag.utils import EmbeddingFunc

from Config.Config import EMBED_DIM, EMBED_MAX_TOKEN_SIZE
from Util.LightRagUtil import embedding_func

#########
# Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert()
# import nest_asyncio
# nest_asyncio.apply()
#########

WORKING_DIR = "./local_neo4jWorkDir"

if not os.path.exists(WORKING_DIR):
    os.mkdir(WORKING_DIR)

# AGE
os.environ["AGE_GRAPH_NAME"] = "dickens"

os.environ["POSTGRES_HOST"] = "10.10.14.208"
os.environ["POSTGRES_PORT"] = "5432"
os.environ["POSTGRES_USER"] = "postgres"
os.environ["POSTGRES_PASSWORD"] = "postgres"
os.environ["POSTGRES_DATABASE"] = "rag"


async def main():
    graph_db = PGGraphStorage(
        namespace="dickens",
        embedding_func=EmbeddingFunc(
            embedding_dim=EMBED_DIM,
            max_token_size=EMBED_MAX_TOKEN_SIZE,
            func=embedding_func
        ),
        global_config={},
    )
    await graph_db.initialize()
    labels = await graph_db.get_all_labels()
    print("all labels", labels)

    res = await graph_db.get_knowledge_graph("FEZZIWIG")
    print("knowledge graphs", res)

    await graph_db.finalize()


if __name__ == "__main__":
    asyncio.run(main())