langchain/libs/community/tests/integration_tests/document_loaders/test_dataframe.py
Bagatur ed58eeb9c5
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)
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
2023-12-11 13:53:30 -08:00

44 lines
1.4 KiB
Python

import pandas as pd
import pytest
from langchain_core.documents import Document
from langchain_community.document_loaders import DataFrameLoader
@pytest.fixture
def sample_data_frame() -> pd.DataFrame:
data = {
"text": ["Hello", "World"],
"author": ["Alice", "Bob"],
"date": ["2022-01-01", "2022-01-02"],
}
return pd.DataFrame(data)
def test_load_returns_list_of_documents(sample_data_frame: pd.DataFrame) -> None:
loader = DataFrameLoader(sample_data_frame)
docs = loader.load()
assert isinstance(docs, list)
assert all(isinstance(doc, Document) for doc in docs)
assert len(docs) == 2
def test_load_converts_dataframe_columns_to_document_metadata(
sample_data_frame: pd.DataFrame,
) -> None:
loader = DataFrameLoader(sample_data_frame)
docs = loader.load()
for i, doc in enumerate(docs):
assert doc.metadata["author"] == sample_data_frame.loc[i, "author"]
assert doc.metadata["date"] == sample_data_frame.loc[i, "date"]
def test_load_uses_page_content_column_to_create_document_text(
sample_data_frame: pd.DataFrame,
) -> None:
sample_data_frame = sample_data_frame.rename(columns={"text": "dummy_test_column"})
loader = DataFrameLoader(sample_data_frame, page_content_column="dummy_test_column")
docs = loader.load()
assert docs[0].page_content == "Hello"
assert docs[1].page_content == "World"