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ERROR Error executing verb "text_embed" in create_final_entities: 'NoneType' object is not iterable #7

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Ikaros-521 opened this issue Jul 22, 2024 · 1 comment
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ERROR Error executing verb "text_embed" in create_final_entities: 'NoneType' object is not iterable #7

Ikaros-521 opened this issue Jul 22, 2024 · 1 comment

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@Ikaros-521
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17:01:42,23 httpcore.connection DEBUG close.complete
17:01:42,23 openai._base_client DEBUG HTTP Request: POST http://127.0.0.1:11434/api/embeddings "200 OK"
17:01:42,25 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': ['"ALICE ARAUJO MARQUES DE S\xc1":"Alice Araujo Marques de S�� is the lead researcher of a study on biomimetics and design.")', '"BIOMIMETICS 2023":"Biomimetics 2023" refers to a journal or event that focuses on interdisciplinary knowledge and creativity, highlighting the promotion of interconnections between various fields.', '"CREATIVE ACTIVITIES":"Creative activities" are described as adopting diverse and integrated knowledge, showcasing how they utilize various spheres for their performance.', '"INTERDISCIPLINARY KNOWLEDGE":"Interdisciplinary knowledge" is the foundation upon which creative activities operate and interconnections between different fields are promoted.', '"STANISLAV N. GORB":"Stanislav N. Gorb" is not only an Academic Editor but also a renowned researcher in the field of biomechanics with significant contributions to the understanding of animal locomotion, making him a key figure in Biomimetics 2023.""Stanislav N. Gorb" acts as an Academic Editor for Biomimetics 2023, indicating his role in overseeing scholarly content within the interdisciplinary field of biomimetics."', '"ACADEMIC EDITOR":', '"BIOMIMETICS SOCIETY":"Biomimetics Society" is a global organization that aims to promote and advance the field of biomimetics through research, education, and collaboration."', '"SUPPORTING BODY":', '"CONTRIBUTOR":']}
17:01:42,25 datashaper.workflow.workflow ERROR Error executing verb "text_embed" in create_final_entities: 'NoneType' object is not iterable
Traceback (most recent call last):
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\datashaper\workflow\workflow.py", line 415, in _execute_verb
    result = await result
  File "F:\GraphRAG-Ollama-UI\graphrag\index\verbs\text\embed\text_embed.py", line 105, in text_embed
    return await _text_embed_in_memory(
  File "F:\GraphRAG-Ollama-UI\graphrag\index\verbs\text\embed\text_embed.py", line 130, in _text_embed_in_memory
    result = await strategy_exec(texts, callbacks, cache, strategy_args)
  File "F:\GraphRAG-Ollama-UI\graphrag\index\verbs\text\embed\strategies\openai.py", line 62, in run
    embeddings = await _execute(llm, text_batches, ticker, semaphore)
  File "F:\GraphRAG-Ollama-UI\graphrag\index\verbs\text\embed\strategies\openai.py", line 106, in _execute
    results = await asyncio.gather(*futures)
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\asyncio\tasks.py", line 304, in __wakeup
    future.result()
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\asyncio\tasks.py", line 232, in __step
    result = coro.send(None)
  File "F:\GraphRAG-Ollama-UI\graphrag\index\verbs\text\embed\strategies\openai.py", line 100, in embed
    chunk_embeddings = await llm(chunk)
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\base\caching_llm.py", line 104, in __call__
    result = await self._delegate(input, **kwargs)
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\base\rate_limiting_llm.py", line 177, in __call__
    result, start = await execute_with_retry()
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\base\rate_limiting_llm.py", line 159, in execute_with_retry
    async for attempt in retryer:
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\tenacity\asyncio\__init__.py", line 166, in __anext__
    do = await self.iter(retry_state=self._retry_state)
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\tenacity\asyncio\__init__.py", line 153, in iter
    result = await action(retry_state)
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\tenacity\_utils.py", line 99, in inner
    return call(*args, **kwargs)
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\tenacity\__init__.py", line 398, in <lambda>
    self._add_action_func(lambda rs: rs.outcome.result())
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\concurrent\futures\_base.py", line 451, in result
    return self.__get_result()
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\concurrent\futures\_base.py", line 403, in __get_result
    raise self._exception
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\base\rate_limiting_llm.py", line 165, in execute_with_retry
    return await do_attempt(), start
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\base\rate_limiting_llm.py", line 147, in do_attempt
    return await self._delegate(input, **kwargs)
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\base\base_llm.py", line 49, in __call__
    return await self._invoke(input, **kwargs)
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\base\base_llm.py", line 53, in _invoke
    output = await self._execute_llm(input, **kwargs)
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\openai\openai_embeddings_llm.py", line 36, in _execute_llm
    embedding = await self.client.embeddings.create(
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\openai\resources\embeddings.py", line 215, in create
    return await self._post(
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\openai\_base_client.py", line 1826, in post
    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\openai\_base_client.py", line 1519, in request
    return await self._request(
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\openai\_base_client.py", line 1622, in _request
    return await self._process_response(
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\openai\_base_client.py", line 1714, in _process_response
    return await api_response.parse()
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\openai\_response.py", line 419, in parse
    parsed = self._options.post_parser(parsed)
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\openai\resources\embeddings.py", line 203, in parser
    for embedding in obj.data:
TypeError: 'NoneType' object is not iterable
17:01:42,28 graphrag.index.reporting.file_workflow_callbacks INFO Error executing verb "text_embed" in create_final_entities: 'NoneType' object is not iterable details=None
17:01:42,28 graphrag.index.run ERROR error running workflow create_final_entities
Traceback (most recent call last):
  File "F:\GraphRAG-Ollama-UI\graphrag\index\run.py", line 323, in run_pipeline
    result = await workflow.run(context, callbacks)
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\datashaper\workflow\workflow.py", line 369, in run
    timing = await self._execute_verb(node, context, callbacks)
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\datashaper\workflow\workflow.py", line 415, in _execute_verb
    result = await result
  File "F:\GraphRAG-Ollama-UI\graphrag\index\verbs\text\embed\text_embed.py", line 105, in text_embed
    return await _text_embed_in_memory(
  File "F:\GraphRAG-Ollama-UI\graphrag\index\verbs\text\embed\text_embed.py", line 130, in _text_embed_in_memory
    result = await strategy_exec(texts, callbacks, cache, strategy_args)
  File "F:\GraphRAG-Ollama-UI\graphrag\index\verbs\text\embed\strategies\openai.py", line 62, in run
    embeddings = await _execute(llm, text_batches, ticker, semaphore)
  File "F:\GraphRAG-Ollama-UI\graphrag\index\verbs\text\embed\strategies\openai.py", line 106, in _execute
    results = await asyncio.gather(*futures)
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\asyncio\tasks.py", line 304, in __wakeup
    future.result()
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\asyncio\tasks.py", line 232, in __step
    result = coro.send(None)
  File "F:\GraphRAG-Ollama-UI\graphrag\index\verbs\text\embed\strategies\openai.py", line 100, in embed
    chunk_embeddings = await llm(chunk)
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\base\caching_llm.py", line 104, in __call__
    result = await self._delegate(input, **kwargs)
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\base\rate_limiting_llm.py", line 177, in __call__
    result, start = await execute_with_retry()
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\base\rate_limiting_llm.py", line 159, in execute_with_retry
    async for attempt in retryer:
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\tenacity\asyncio\__init__.py", line 166, in __anext__
    do = await self.iter(retry_state=self._retry_state)
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\tenacity\asyncio\__init__.py", line 153, in iter
    result = await action(retry_state)
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\tenacity\_utils.py", line 99, in inner
    return call(*args, **kwargs)
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\tenacity\__init__.py", line 398, in <lambda>
    self._add_action_func(lambda rs: rs.outcome.result())
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\concurrent\futures\_base.py", line 451, in result
    return self.__get_result()
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\concurrent\futures\_base.py", line 403, in __get_result
    raise self._exception
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\base\rate_limiting_llm.py", line 165, in execute_with_retry
    return await do_attempt(), start
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\base\rate_limiting_llm.py", line 147, in do_attempt
    return await self._delegate(input, **kwargs)
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\base\base_llm.py", line 49, in __call__
    return await self._invoke(input, **kwargs)
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\base\base_llm.py", line 53, in _invoke
    output = await self._execute_llm(input, **kwargs)
  File "F:\GraphRAG-Ollama-UI\graphrag\llm\openai\openai_embeddings_llm.py", line 36, in _execute_llm
    embedding = await self.client.embeddings.create(
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\openai\resources\embeddings.py", line 215, in create
    return await self._post(
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\openai\_base_client.py", line 1826, in post
    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\openai\_base_client.py", line 1519, in request
    return await self._request(
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\openai\_base_client.py", line 1622, in _request
    return await self._process_response(
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\openai\_base_client.py", line 1714, in _process_response
    return await api_response.parse()
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\openai\_response.py", line 419, in parse
    parsed = self._options.post_parser(parsed)
  File "f:\GraphRAG-Ollama-UI\Miniconda3\lib\site-packages\openai\resources\embeddings.py", line 203, in parser
    for embedding in obj.data:
TypeError: 'NoneType' object is not iterable
17:01:42,29 graphrag.index.reporting.file_workflow_callbacks INFO Error running pipeline! details=None
@Ikaros-521
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Ikaros-521 commented Jul 22, 2024 •
edited
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参考 microsoft/graphrag#339
主要还是和llm embedding模型配置有关（本地ollama兼容性问题还是很多）

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