DEVELOPMENT.md

This is a guide for developers to contribute to the codebase

Configure the package for local development

New way (poetry)

Install needed packages and GPTSwarm into the current environment.

poetry install

Install needed and uninstall not listed packages:

poetry install --sync

If dev packages not installed for some reason:

poetry install --with=dev --sync

Old way (setuptools)

The following command installs the gptswarm package as a symbolic link to the current github repo clone. All edits to the repo will be immediately reflected in the "installed" package.

pip insall -e .

To install the package along with the developer's tools:

pip install -e .[dev]

How to run tests

Quick no-API test without logging output:

pytest -m mock_llm test/

Quick no-API test with logging output:

pytest -s -m mock_llm test/

Without logging output:

pytest test/

With logging output:

pytest -s test/

Test specific function:

pytest -s test/swarm/graph/test_swarm.py -k 'test_raises'

Running any of the above commands with poetry will auto activate the virtual environment:

poetry run pytest -m mock_llm

Run code coverage

coverage erase
coverage run --source=. -m pytest .
coverage html -i
open htmlcov/index.html

Working with git LFS

The instructions to work with git LFS (large file storage) can be found here.

Working with submodules

The instructions to work with git submodules can be found here.

Packaging instructions

https://packaging.python.org/en/latest/tutorials/packaging-projects/

Poetry

poetry config pypi-token.pypi "<your-token>"
poetry config repositories.test-pypi https://test.pypi.org/legacy/
poetry config pypi-token.test-pypi "<your-token>"

poetry version prerelease
poetry build
poetry publish -r test-pypi
poetry publish

pip install -i https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple gptswarm==0.1.3a1

More see here.