mirror of
https://github.com/hwchase17/langchain
synced 2024-11-18 09:25:54 +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
51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
"""Integration test for Arxiv API Wrapper."""
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from typing import List
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import pytest
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from langchain_core.documents import Document
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from langchain_community.retrievers import ArxivRetriever
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@pytest.fixture
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def retriever() -> ArxivRetriever:
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return ArxivRetriever()
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def assert_docs(docs: List[Document], all_meta: bool = False) -> None:
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for doc in docs:
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assert doc.page_content
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assert doc.metadata
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main_meta = {"Published", "Title", "Authors", "Summary"}
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assert set(doc.metadata).issuperset(main_meta)
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if all_meta:
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assert len(set(doc.metadata)) > len(main_meta)
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else:
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assert len(set(doc.metadata)) == len(main_meta)
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def test_load_success(retriever: ArxivRetriever) -> None:
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docs = retriever.get_relevant_documents(query="1605.08386")
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assert len(docs) == 1
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assert_docs(docs, all_meta=False)
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def test_load_success_all_meta(retriever: ArxivRetriever) -> None:
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retriever.load_all_available_meta = True
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retriever.load_max_docs = 2
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docs = retriever.get_relevant_documents(query="ChatGPT")
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assert len(docs) > 1
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assert_docs(docs, all_meta=True)
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def test_load_success_init_args() -> None:
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retriever = ArxivRetriever(load_max_docs=1, load_all_available_meta=True)
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docs = retriever.get_relevant_documents(query="ChatGPT")
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assert len(docs) == 1
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assert_docs(docs, all_meta=True)
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def test_load_no_result(retriever: ArxivRetriever) -> None:
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docs = retriever.get_relevant_documents("1605.08386WWW")
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assert not docs
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