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c010ec8b71
- `.get_relevant_documents(query)` -> `.invoke(query)`
- `.get_relevant_documents(query=query)` -> `.invoke(query)`
- `.get_relevant_documents(query, callbacks=callbacks)` ->
`.invoke(query, config={"callbacks": callbacks})`
- `.get_relevant_documents(query, **kwargs)` -> `.invoke(query,
**kwargs)`
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
51 lines
1.4 KiB
Python
51 lines
1.4 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.invoke("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.invoke("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.invoke("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.invoke("1605.08386WWW")
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assert not docs
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