mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
ed58eeb9c5
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
46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
from __future__ import annotations
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from typing import TYPE_CHECKING
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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 GeoDataFrameLoader
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if TYPE_CHECKING:
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from geopandas import GeoDataFrame
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else:
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GeoDataFrame = "geopandas.GeoDataFrame"
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@pytest.mark.requires("geopandas")
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def sample_gdf() -> GeoDataFrame:
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import geopandas
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# TODO: geopandas.datasets will be deprecated in 1.0
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path_to_data = geopandas.datasets.get_path("nybb")
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gdf = geopandas.read_file(path_to_data)
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gdf["area"] = gdf.area
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gdf["crs"] = gdf.crs.to_string()
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return gdf.head(2)
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@pytest.mark.requires("geopandas")
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def test_load_returns_list_of_documents(sample_gdf: GeoDataFrame) -> None:
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loader = GeoDataFrameLoader(sample_gdf)
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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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@pytest.mark.requires("geopandas")
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def test_load_converts_dataframe_columns_to_document_metadata(
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sample_gdf: GeoDataFrame,
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) -> None:
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loader = GeoDataFrameLoader(sample_gdf)
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docs = loader.load()
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for i, doc in enumerate(docs):
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assert doc.metadata["area"] == sample_gdf.loc[i, "area"]
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assert doc.metadata["crs"] == sample_gdf.loc[i, "crs"]
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