History

Roma d15f481352 Add unit test to output parsers (#3911 ) This pull request adds unit tests for various output parsers (BooleanOutputParser, CommaSeparatedListOutputParser, and StructuredOutputParser) to ensure their correct functionality and to increase code reliability and maintainability. The tests cover both valid and invalid input cases. Changes: Added unit tests for BooleanOutputParser. Added unit tests for CommaSeparatedListOutputParser. Added unit tests for StructuredOutputParser. Testing: All new unit tests have been executed, and they pass successfully. The overall test suite has been run, and all tests pass. Notes: These tests cover both successful parsing scenarios and error handling for invalid inputs. If any new output parsers are added in the future, corresponding unit tests should also be created to maintain coverage.		2023-05-01 14:53:08 -07:00
..
integration_tests	Chroma fix mmr (#3897 )	2023-05-01 10:47:15 -07:00
mock_servers	Add a mock server (#2443 )	2023-04-05 10:35:46 -07:00
unit_tests	Add unit test to output parsers (#3911 )	2023-05-01 14:53:08 -07:00
__init__.py	initial commit	2022-10-24 14:51:15 -07:00
README.md	feat: improve pinecone tests (#2806 )	2023-04-13 21:49:31 -07:00

README.md

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