langchain/libs/community/tests/integration_tests/document_loaders/test_pubmed.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

55 lines
1.4 KiB
Python

"""Integration test for PubMed API Wrapper."""
from typing import List
import pytest
from langchain_core.documents import Document
from langchain_community.document_loaders import PubMedLoader
xmltodict = pytest.importorskip("xmltodict")
def test_load_success() -> None:
"""Test that returns the correct answer"""
api_client = PubMedLoader(query="chatgpt")
docs = api_client.load()
print(docs)
assert len(docs) == api_client.load_max_docs == 3
assert_docs(docs)
def test_load_success_load_max_docs() -> None:
"""Test that returns the correct answer"""
api_client = PubMedLoader(query="chatgpt", load_max_docs=2)
docs = api_client.load()
print(docs)
assert len(docs) == api_client.load_max_docs == 2
assert_docs(docs)
def test_load_returns_no_result() -> None:
"""Test that gives no result."""
api_client = PubMedLoader(query="1605.08386WWW")
docs = api_client.load()
assert len(docs) == 0
def test_load_no_content() -> None:
"""Returns a Document without content."""
api_client = PubMedLoader(query="37548971")
docs = api_client.load()
print(docs)
assert len(docs) > 0
assert docs[0].page_content == ""
def assert_docs(docs: List[Document]) -> None:
for doc in docs:
assert doc.metadata
assert set(doc.metadata) == {
"Copyright Information",
"uid",
"Title",
"Published",
}