cassio 0.1.1

A framework-agnostic Python library to seamlessly integrate Apache Cassandra(R) with ML/LLM/genAI workloads.

cassIO

A framework-agnostic Python library to seamlessly integrate Apache Cassandra with ML/LLM/genAI workloads.

Note: this is currently an alpha release.

Users

Installation is as simple as:

pip install cassio

For example usages and integration with higher-level LLM frameworks such as LangChain, please visit cassio.org.

CassIO developers

Setup

To develop cassio, use the requirements-dev.txt.

To use the dev version in an integration (e.g. your branch of LangChain), pip install -e . in this cassio repo from within the virtual environment you are using to develop your integration.

Git flow

Note: this is a rough guide, use your common sense and consider exceptions.

main is where versioned releases occur (the corresponding commits are git-tagged as v0.0.7 and similar, parallel to the PyPI releases).

Please do not push/PR more than trivial fixes directly to main.

Features should generally be done on specific branches and merged into dev for wider testing. Then, with a slower cadence (such as, when releasing), dev would be merged to main.

Versioning

We are still at 0.*. Occasional breaking changes are to be expected, but please think carefully. A later stronger model of versioning will be adopted.

Style

We are trying to land on a strictly enforced style. Currently, the following directories are kept in check this way:

• src/cassio/table
• src/cassio/vector
• src/cassio/utils
• tests
• src/cassio/keyvalue
• src/cassio/history

This means we try to get clean output from the following in each of these directories (up to your good will for the time being):

black .
ruff .
mypy .

Python version coverage

At the moment we try to run tests under Python3.8 and Python3.10 to try and catch versions-specific issues (such as the newer typing syntax such as typeA | typeB, illegal on 3.8).

Publishing

• Bump version in setup.py
• Add to CHANGES.txt
• Commit the very code that will be built:

rm dist/*
python setup.py sdist bdist_wheel
twine upload dist/*
# (login to PyPI ...)

Testing

Please run tests (and add some coverage for new features). This is not enforced other than to your conscience.

Unit testing

You need a virtualenv with the requirements-dev.txt installed.

pytest tests/unit

Integration with the DB

You need a virtualenv with the requirements-dev.txt installed.

Create the DB connection settings file, cp TEMPLATE.testing.env .testing.env and then edit the properties. You need at least one of either Astra DB or a Cassandra cluster to use, with vector-search support.

Source with . .testing.env.

Launch the tests with

pytest tests/integration

(you can specify TEST_DB_MODE in the env file or override it by prepending the above command with TEST_DB_MODE=LOCAL_CASSANDRA or ASTRA_DB for easy switching).