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"""Integration test for Arxiv API Wrapper.""" | |
from typing import List | |
import pytest | |
from langchain.retrievers import ArxivRetriever | |
from langchain.schema import Document | |
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 | |