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	Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
		
			
				
	
	
		
			44 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			44 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
import pandas as pd
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import pytest
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from langchain_core.documents import Document
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from langchain_community.document_loaders import DataFrameLoader
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@pytest.fixture
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def sample_data_frame() -> pd.DataFrame:
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    data = {
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        "text": ["Hello", "World"],
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        "author": ["Alice", "Bob"],
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        "date": ["2022-01-01", "2022-01-02"],
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    }
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    return pd.DataFrame(data)
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def test_load_returns_list_of_documents(sample_data_frame: pd.DataFrame) -> None:
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    loader = DataFrameLoader(sample_data_frame)
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    docs = loader.load()
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    assert isinstance(docs, list)
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    assert all(isinstance(doc, Document) for doc in docs)
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    assert len(docs) == 2
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def test_load_converts_dataframe_columns_to_document_metadata(
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    sample_data_frame: pd.DataFrame,
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) -> None:
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    loader = DataFrameLoader(sample_data_frame)
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    docs = loader.load()
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    for i, doc in enumerate(docs):
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        assert doc.metadata["author"] == sample_data_frame.loc[i, "author"]
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        assert doc.metadata["date"] == sample_data_frame.loc[i, "date"]
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def test_load_uses_page_content_column_to_create_document_text(
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    sample_data_frame: pd.DataFrame,
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) -> None:
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    sample_data_frame = sample_data_frame.rename(columns={"text": "dummy_test_column"})
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    loader = DataFrameLoader(sample_data_frame, page_content_column="dummy_test_column")
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    docs = loader.load()
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    assert docs[0].page_content == "Hello"
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    assert docs[1].page_content == "World"
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