mirror of
https://github.com/hwchase17/langchain
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51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
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"""Integration test for PubMed API Wrapper."""
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from typing import List
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import pytest
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from langchain.retrievers import PubMedRetriever
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from langchain.schema import Document
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@pytest.fixture
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def retriever() -> PubMedRetriever:
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return PubMedRetriever()
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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: PubMedRetriever) -> 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: PubMedRetriever) -> 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 = PubMedRetriever(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: PubMedRetriever) -> None:
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docs = retriever.get_relevant_documents("1605.08386WWW")
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assert not docs
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