langchain/tests
Kacper Łukawski f93d256190
Feat: Add batching to Qdrant (#5443)
# Add batching to Qdrant

Several people requested a batching mechanism while uploading data to
Qdrant. It is important, as there are some limits for the maximum size
of the request payload, and without batching implemented in Langchain,
users need to implement it on their own. This PR exposes a new optional
`batch_size` parameter, so all the documents/texts are loaded in batches
of the expected size (64, by default).

The integration tests of Qdrant are extended to cover two cases:
1. Documents are sent in separate batches.
2. All the documents are sent in a single request.
2023-05-30 15:33:54 -07:00
..
integration_tests Feat: Add batching to Qdrant (#5443) 2023-05-30 15:33:54 -07:00
mock_servers Add a mock server (#2443) 2023-04-05 10:35:46 -07:00
unit_tests MRKL output parser no longer breaks well formed queries (#5432) 2023-05-30 15:58:47 -04:00
__init__.py initial commit 2022-10-24 14:51:15 -07:00
data.py Add workflow for testing with all deps (#4410) 2023-05-10 09:35:07 -04:00
README.md feat: improve pinecone tests (#2806) 2023-04-13 21:49:31 -07:00

Readme tests(draft)

Integrations Tests

Prepare

This repository contains functional tests for several search engines and databases. The tests aim to verify the correct behavior of the engines and databases according to their specifications and requirements.

To run some integration tests, such as tests located in tests/integration_tests/vectorstores/, you will need to install the following software:

  • Docker
  • Python 3.8.1 or later

We have optional group test_integration in the pyproject.toml file. This group should contain dependencies for the integration tests and can be installed using the command:

poetry install --with test_integration

Any new dependencies should be added by running:

# add package and install it after adding:
poetry add tiktoken@latest --group "test_integration" && poetry install --with test_integration

Before running any tests, you should start a specific Docker container that has all the necessary dependencies installed. For instance, we use the elasticsearch.yml container for test_elasticsearch.py:

cd tests/integration_tests/vectorstores/docker-compose
docker-compose -f elasticsearch.yml up

Prepare environment variables for local testing:

  • copy tests/.env.example to tests/.env
  • set variables in tests/.env file, e.g OPENAI_API_KEY

Additionally, it's important to note that some integration tests may require certain environment variables to be set, such as OPENAI_API_KEY. Be sure to set any required environment variables before running the tests to ensure they run correctly.

Recording HTTP interactions with pytest-vcr

Some of the integration tests in this repository involve making HTTP requests to external services. To prevent these requests from being made every time the tests are run, we use pytest-vcr to record and replay HTTP interactions.

When running tests in a CI/CD pipeline, you may not want to modify the existing cassettes. You can use the --vcr-record=none command-line option to disable recording new cassettes. Here's an example:

pytest --log-cli-level=10 tests/integration_tests/vectorstores/test_pinecone.py --vcr-record=none
pytest tests/integration_tests/vectorstores/test_elasticsearch.py --vcr-record=none

Run some tests with coverage:

pytest tests/integration_tests/vectorstores/test_elasticsearch.py --cov=langchain --cov-report=html
start "" htmlcov/index.html || open htmlcov/index.html