coolboywcm commented on issue #297:
URL:
https://github.com/apache/incubator-hugegraph-ai/issues/297#issuecomment-3157148264
I've set ENABLE_LOGIN=False in the .env file and confirmed it's working:
/home/work/hugegraph-llm/.env
GRAPH_URL=127.0.0.1:8080
GRAPH_NAME=hugegraph
GRAPH_USER=admin
GRAPH_PWD=xxx
GRAPH_SPACE=
LIMIT_PROPERTY=False
MAX_GRAPH_PATH=10
MAX_GRAPH_ITEMS=30
EDGE_LIMIT_PRE_LABEL=8
VECTOR_DIS_THRESHOLD=0.9
TOPK_PER_KEYWORD=1
TOPK_RETURN_RESULTS=20
**ENABLE_LOGIN=False**
USER_TOKEN=4321
ADMIN_TOKEN=xxxx
CHAT_LLM_TYPE=openai
EXTRACT_LLM_TYPE=openai
TEXT2GQL_LLM_TYPE=openai
EMBEDDING_TYPE=openai
log:
[root@luqmvbs2g8cf8g ~]# docker logs rag | grep "Authentication is"
INFO llm: (Status) Authentication is disabled
app.py:159
INFO llm: (Status) Authentication is disabled
app.py:159
/home/work/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py
def create_app():
app = FastAPI(lifespan=lifespan)
# we don't need to manually check the env now
# settings.check_env()
prompt.update_yaml_file()
auth_enabled = admin_settings.enable_login.lower() == "true"
**log.info("(Status) Authentication is %s now.", "enabled" if
auth_enabled else "disabled") # line 159**
api_auth = APIRouter(dependencies=[Depends(authenticate)] if
auth_enabled else [])
However, when I submit a query (e.g., "Who is Sarah?"), the system still
returns **401 Error**:
<img width="2176" height="400" alt="Image"
src="https://github.com/user-attachments/assets/fcb7692b-9fc7-4575-953b-b5926a79eb18";
/>
<img width="516" height="142" alt="Image"
src="https://github.com/user-attachments/assets/453d704e-2753-45c1-bd62-493a389b756f";
/>
log content:
`[08/06/25 01:01:22] INFO llm: Token usage:
openai.py:73
{"completion_tokens":205,"prompt_token
s":429,"total_tokens":634,"completion_
tokens_details":{"accepted_prediction_
tokens":null,"audio_tokens":null,"reas
oning_tokens":199,"rejected_prediction
_tokens":null},"prompt_tokens_details"
:{"audio_tokens":null,"cached_tokens":
0}}
DEBUG llm: Keyword extraction time:
keyword_extract.py:65
7.59 seconds
INFO llm: User Query: Who is Sarah
keyword_extract.py:72
?
Keywords: ['Sarah']
DEBUG llm: Operator KeywordExtract
decorators.py:74
finished in 7.67 seconds
DEBUG llm: Running operator:
decorators.py:68
SemanticIdQuery
CRITICAL llm: Error code: 401 - {'message':
rag_block.py:227
'请先登录', 'status': 10025,
'timestamp': 1754442082654}
Traceback (most recent call last):
File
"/home/work/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py", line
204, in rag_answer_streaming
context = rag.run(verbose=True, query=text, vector_search=vector_search,
graph_search=graph_search)
File "/home/work/hugegraph-llm/src/hugegraph_llm/utils/decorators.py",
line 50, in sync_wrapper
result = func(*args, **kwargs)
File "/home/work/hugegraph-llm/src/hugegraph_llm/utils/decorators.py",
line 96, in sync_wrapper
result = func(*args, **kwargs)
File
"/home/work/hugegraph-llm/src/hugegraph_llm/operators/graph_rag_task.py", line
254, in run
context = self._run_operator(operator, context)
File "/home/work/hugegraph-llm/src/hugegraph_llm/utils/decorators.py",
line 70, in wrapper
result = func(*args, **kwargs)
File
"/home/work/hugegraph-llm/src/hugegraph_llm/operators/graph_rag_task.py", line
259, in _run_operator
return operator.run(context)
File
"/home/work/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py",
line 101, in run
fuzzy_match_vids = self._fuzzy_match_vids(unmatched_vids)
File
"/home/work/hugegraph-llm/src/hugegraph_llm/operators/index_op/semantic_id_query.py",
line 78, in _fuzzy_match_vids
keyword_vector = self.embedding.get_texts_embeddings([keyword])[0]
File
"/home/work/hugegraph-llm/src/hugegraph_llm/models/embeddings/openai.py", line
62, in get_texts_embeddings
response = self.client.embeddings.create(input=texts,
model=self.embedding_model_name)
File
"/home/work/.venv/lib/python3.10/site-packages/openai/resources/embeddings.py",
line 125, in create
return self._post(
File
"/home/work/.venv/lib/python3.10/site-packages/openai/_base_client.py", line
1283, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream,
stream_cls=stream_cls))
File
"/home/work/.venv/lib/python3.10/site-packages/openai/_base_client.py", line
960, in request
return self._request(
File
"/home/work/.venv/lib/python3.10/site-packages/openai/_base_client.py", line
1064, in _request
raise self._make_status_error_from_response(err.response) from None
openai.AuthenticationError: Error code: 401 - {'message': '请先登录', 'status':
10025, 'timestamp': 1754442082654}
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/work/.venv/lib/python3.10/site-packages/gradio/queueing.py",
line 625, in process_events
response = await route_utils.call_process_api(
File
"/home/work/.venv/lib/python3.10/site-packages/gradio/route_utils.py", line
322, in call_process_api
output = await app.get_blocks().process_api(
File "/home/work/.venv/lib/python3.10/site-packages/gradio/blocks.py",
line 2103, in process_api
result = await self.call_function(
File "/home/work/.venv/lib/python3.10/site-packages/gradio/blocks.py",
line 1662, in call_function
prediction = await utils.async_iteration(iterator)
File "/home/work/.venv/lib/python3.10/site-packages/gradio/utils.py", line
735, in async_iteration
return await anext(iterator)
File "/home/work/.venv/lib/python3.10/site-packages/gradio/utils.py", line
840, in asyncgen_wrapper
response = await iterator.__anext__()
File
"/home/work/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/rag_block.py", line
228, in rag_answer_streaming
raise gr.Error(f"An unexpected error occurred: {str(e)}")
gradio.exceptions.Error: "An unexpected error occurred: Error code: 401 -
{'message': '请先登录', 'status': 10025, 'timestamp': 1754`
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