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langchain/tests/integration_tests/retrievers/test_arxiv.py

51 lines
1.5 KiB
Python

"""Integration test for Arxiv API Wrapper."""
from typing import List
import pytest
from langchain.retrievers import ArxivRetriever
from langchain.schema import Document
@pytest.fixture
def retriever() -> ArxivRetriever:
return ArxivRetriever()
def assert_docs(docs: List[Document], all_meta: bool = False) -> None:
for doc in docs:
assert doc.page_content
assert doc.metadata
main_meta = {"Published", "Title", "Authors", "Summary"}
assert set(doc.metadata).issuperset(main_meta)
if all_meta:
assert len(set(doc.metadata)) > len(main_meta)
else:
assert len(set(doc.metadata)) == len(main_meta)
def test_load_success(retriever: ArxivRetriever) -> None:
docs = retriever.get_relevant_documents(query="1605.08386")
assert len(docs) == 1
assert_docs(docs, all_meta=False)
def test_load_success_all_meta(retriever: ArxivRetriever) -> None:
retriever.load_all_available_meta = True
retriever.load_max_docs = 2
docs = retriever.get_relevant_documents(query="ChatGPT")
assert len(docs) > 1
assert_docs(docs, all_meta=True)
def test_load_success_init_args() -> None:
retriever = ArxivRetriever(load_max_docs=1, load_all_available_meta=True)
docs = retriever.get_relevant_documents(query="ChatGPT")
assert len(docs) == 1
assert_docs(docs, all_meta=True)
def test_load_no_result(retriever: ArxivRetriever) -> None:
docs = retriever.get_relevant_documents("1605.08386WWW")
assert not docs