langchain/libs/community/tests/integration_tests/retrievers/test_arxiv.py
Bagatur ed58eeb9c5
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)
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
2023-12-11 13:53:30 -08:00

51 lines
1.5 KiB
Python

"""Integration test for Arxiv API Wrapper."""
from typing import List
import pytest
from langchain_core.documents import Document
from langchain_community.retrievers import ArxivRetriever
@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