langchain/tests/integration_tests/vectorstores/conftest.py
Davit Buniatyan b3a5b51728
[minor] Deep Lake auth improvements in docs, kwargs pass, faster tests (#2927)
Minor cosmetic changes 
- Activeloop environment cred authentication in notebooks with
`getpass.getpass` (instead of CLI which not always works)
- much faster tests with Deep Lake pytest mode on 
- Deep Lake kwargs pass

Notes
- I put pytest environment creds inside `vectorstores/conftest.py`, but
feel free to suggest a better location. For context, if I put in
`test_deeplake.py`, `ruff` doesn't let me to set them before import
deeplake

---------

Co-authored-by: Davit Buniatyan <d@activeloop.ai>
2023-04-15 10:49:16 -07:00

82 lines
2.9 KiB
Python

import os
from typing import Generator, List, Union
import pytest
from vcr.request import Request
from langchain.document_loaders import TextLoader
from langchain.embeddings import OpenAIEmbeddings
from langchain.schema import Document
from langchain.text_splitter import CharacterTextSplitter
# Those environment variables turn on Deep Lake pytest mode.
# It significantly makes tests run much faster.
# Need to run before `import deeplake`
os.environ["BUGGER_OFF"] = "true"
os.environ["DEEPLAKE_DOWNLOAD_PATH"] = "./testing/local_storage"
os.environ["DEEPLAKE_PYTEST_ENABLED"] = "true"
# This fixture returns a dictionary containing filter_headers options
# for replacing certain headers with dummy values during cassette playback
# Specifically, it replaces the authorization header with a dummy value to
# prevent sensitive data from being recorded in the cassette.
# It also filters request to certain hosts (specified in the `ignored_hosts` list)
# to prevent data from being recorded in the cassette.
@pytest.fixture(scope="module")
def vcr_config() -> dict:
skipped_host = ["pinecone.io"]
def before_record_response(response: dict) -> Union[dict, None]:
return response
def before_record_request(request: Request) -> Union[Request, None]:
for host in skipped_host:
if request.host.startswith(host) or request.host.endswith(host):
return None
return request
return {
"before_record_request": before_record_request,
"before_record_response": before_record_response,
"filter_headers": [
("authorization", "authorization-DUMMY"),
("X-OpenAI-Client-User-Agent", "X-OpenAI-Client-User-Agent-DUMMY"),
("Api-Key", "Api-Key-DUMMY"),
("User-Agent", "User-Agent-DUMMY"),
],
"ignore_localhost": True,
}
# Define a fixture that yields a generator object returning a list of documents
@pytest.fixture(scope="function")
def documents() -> Generator[List[Document], None, None]:
"""Return a generator that yields a list of documents."""
# Create a CharacterTextSplitter object for splitting the documents into chunks
text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
# Load the documents from a file located in the fixtures directory
documents = TextLoader(
os.path.join(os.path.dirname(__file__), "fixtures", "sharks.txt")
).load()
# Yield the documents split into chunks
yield text_splitter.split_documents(documents)
@pytest.fixture(scope="function")
def texts() -> Generator[List[str], None, None]:
# Load the documents from a file located in the fixtures directory
documents = TextLoader(
os.path.join(os.path.dirname(__file__), "fixtures", "sharks.txt")
).load()
yield [doc.page_content for doc in documents]
@pytest.fixture(scope="module")
def embedding_openai() -> OpenAIEmbeddings:
return OpenAIEmbeddings()