[2024/12/12 08:35:43.348] =================================== FAILURES ===================================
[2024/12/12 08:35:43.348] ________________________________ test_documents ________________________________
[2024/12/12 08:35:43.348] documents = [Document(id_='413a76b9-56c7-445e-bd1b-0dbe64f40958', embedding=None, metadata={'text': ''}, excluded_embed_metadata_k...n', start_char_idx=None, end_char_idx=None, metadata_seperator='\n', text_template='{metadata_str}\n\n{content}'), ...]
[2024/12/12 08:35:43.348]     def test_documents(documents: List[Document]) -> None:
[2024/12/12 08:35:43.348]         """Sanity check essay was found and documents loaded."""
[2024/12/12 08:35:43.348] >       assert len(documents) == 23
[2024/12/12 08:35:43.348] E       AssertionError: assert 25 == 23
[2024/12/12 08:35:43.348] E        +  where 25 = len([Document(id_='413a76b9-56c7-445e-bd1b-0dbe64f40958', embedding=None, metadata={'text': ''}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={}, metadata_template='{key}: {value}', metadata_separator='\n', text='', mimetype='text/plain', start_char_idx=None, end_char_idx=None, metadata_seperator='\n', text_template='{metadata_str}\n\n{content}'), Document(id_='873295be-22fa-4a5a-bb21-d153637f81da', embedding=None, metadata={'text': 'Context'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={}, metadata_template='{key}: {value}', metadata_separator='\n', text='Context', mimetype='text/plain', start_char_idx=None, end_char_idx=None, metadata_seperator='\n', text_template='{metadata_str}\n\n{content}'), Document(id_='38407a9e-f821-40dd-979d-b6f8a8bf05b0', embedding=None, metadata={'text': 'LLMs are a phenomenal piece of technology for knowledge generation and reasoning.'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={}, metadata_template='{key}: {value}', metadata_separator='\n', text='LLMs are a phenomenal piece of technology for knowledge generation and reasoning.', mimetype='text/plain'...mounts of publicly available data.', mimetype='text/plain', start_char_idx=None, end_char_idx=None, metadata_seperator='\n', text_template='{metadata_str}\n\n{content}'), Document(id_='b9a482ac-5891-4faa-84fe-e8733ac67fc4', embedding=None, metadata={'text': 'How do we best augment LLMs with our own private data?'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={}, metadata_template='{key}: {value}', metadata_separator='\n', text='How do we best augment LLMs with our own private data?', mimetype='text/plain', start_char_idx=None, end_char_idx=None, metadata_seperator='\n', text_template='{metadata_str}\n\n{content}'), Document(id_='1395d2e0-0fc5-424e-8c00-b8dfcabd667c', embedding=None, metadata={'text': 'We need a comprehensive toolkit to help perform this data augmentation for LLMs.'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={}, metadata_template='{key}: {value}', metadata_separator='\n', text='We need a comprehensive toolkit to help perform this data augmentation for LLMs.', mimetype='text/plain', start_char_idx=None, end_char_idx=None, metadata_seperator='\n', text_template='{metadata_str}\n\n{content}'), ...])
[2024/12/12 08:35:43.348] tests/test_vectorstore.py:23: AssertionError