Query Bug

[Dormiveglia-elf]

^CTraceback (most recent call last):
  File "/fast-graphrag/examples/custom_llm.py", line 50, in <module>
    print(grag.query("How does Java work?").response)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/fast-graphrag/fast_graphrag/_graphrag.py", line 157, in query
    return get_event_loop().run_until_complete(_query())
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/miniconda3/lib/python3.12/asyncio/base_events.py", line 674, in run_until_complete
    self.run_forever()
  File "/miniconda3/lib/python3.12/asyncio/base_events.py", line 641, in run_forever
    self._run_once()
  File "/miniconda3/lib/python3.12/asyncio/base_events.py", line 1949, in _run_once
    event_list = self._selector.select(timeout)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/miniconda3/lib/python3.12/selectors.py", line 468, in select
    fd_event_list = self._selector.poll(timeout, max_ev)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

I am confused why I got this error since it execute well in other working directory. Below is my code:

"""Example usage of GraphRAG with custom LLM and Embedding services compatible with the OpenAI API."""

from typing import List

import instructor
from dotenv import load_dotenv

from fast_graphrag import GraphRAG
from fast_graphrag._llm import OpenAIEmbeddingService, OpenAILLMService

load_dotenv()

DOMAIN = ""
QUERIES: List[str] = [
    "How does Java work?",
]
ENTITY_TYPES: List[str] = ["organization","person","geo","event"]

working_dir = "./project/cs"
grag = GraphRAG(
    working_dir=working_dir,
    domain=DOMAIN,
    example_queries="\n".join(QUERIES),
    entity_types=ENTITY_TYPES,
    config=GraphRAG.Config(
        llm_service=OpenAILLMService(
            model="deepseek-chat",
            base_url="https://api.deepseek.com",
            api_key="",
            mode=instructor.Mode.JSON,
            # api_version="your-llm-api_version",
            client="openai"
        ),
        embedding_service=OpenAIEmbeddingService(
            model="text-embedding-3-small",
            base_url="https://api.openai.com/v1",
            api_key="",
            embedding_dim=1536,  # the output embedding dim of the chosen model
            # api_version="your-llm-api_version",
            client="openai"
        ),
    ),
)

# with open("guide_to_java.txt") as f:
#     grag.insert(f.read())

print(grag.query("How does Java work?").response)

[liukidar]

Hello, is that the full error traceback? It looks like some python environment error. Are you perhaps running it from a Jupyter notebook or similar?