gllm-pipeline-binary 0.2.17

A library containing components related to Gen AI applications pipeline orchestration.

GLLM Pipeline

Description

A library containing components related to Gen AI applications pipeline orchestration.

Installation

1. Python v3.11 or above:

You can install Python using Miniconda.

2. Make sure you're in the base conda environment:

conda activate

3. Poetry v1.8.1 or above:

You can install Poetry using cURL (you need Python to install Poetry):

curl -sSL https://install.python-poetry.org | python3 -

4. Install the library using Poetry:

# Latest
poetry add "git+ssh://[e-mail]/GDP-ADMIN/gen-ai-internal.git#subdirectory=libs/gllm-pipeline"

# Specific version
poetry add "git+ssh://[e-mail]/GDP-ADMIN/gen-ai-internal.git@gllm_pipeline-v0.0.1-beta.1#subdirectory=libs/gllm-pipeline"

# Specific Branch Name
poetry add "git+ssh://[e-mail]/GDP-ADMIN/gen-ai-internal.git@<BRANCH NAME>#subdirectory=libs/gllm-pipeline"

5. At this step, you can deactivate Miniconda environment as Poetry will create and manage its own virtual environment for you.

conda deactivate

Managing Dependencies

1. Go to root folder of gllm-pipeline module, e.g. cd libs/gllm-pipeline.
2. Run poetry shell to create a virtual environment.
3. Run poetry lock to create a lock file if you haven't done it yet.
4. Run poetry install to install the gllm-pipeline requirements for the first time.
5. Run poetry update if you update any dependency module version at pyproject.toml.

Contributing

Please refer to this Python Style Guide to get information about code style, documentation standard, and SCA that you need to use when contributing to this project

1. Activate pre-commit hooks using pre-commit install
2. Run poetry shell to create a virtual environment.
3. Run poetry lock to create a lock file if you haven't done it yet.
4. Run poetry install to install the gllm-pipeline requirements for the first time.
5. Run which python to get the path to be referenced at Visual Studio Code interpreter path (Ctrl+Shift+P or Cmd+Shift+P)
6. Try running the unit test to see if it's working:

poetry run pytest -s tests/unit_tests/