ipaacar-python 0.2.1

Incremental Processing Architecture for Artificial Conversational Agents, implemented in Rust

ipaacar - Incremental Processing Architecture for Artificial Conversational Agents, implemented in Rust

Implementation of IPAACA in Rust. For a theoretical background, see ipaaca wiki entry. IPAACA is developed by the Social Cognitive Systems Group at Bielefeld University. Many thanks to David Schwab for his contribution to the initial rust implementation.

IPAACA is a framework for incremental processing via "incremental units" (IUs) processed by buffers (in and out). It uses a MQTT broker for message passing. Therefore, a MQTT broker must be installed and running to use ipaaca(r) (mosquitto, nanomq). Simple messaging is possible via "messages". IUs can be updated, linked, committed, and retracted, allowing incremental processing, e.g. for conversational agents.

Installation

Python

Installing from PyPI

You can grab a precompiled versions from PyPI and install it via pip:

pip install ipaacar-python

Currtently, the precompiled versions support manylinux_x_y (e.g., Ubuntu >= 21.04, etc.), Windows 64bit x86 and ARM, aswell as MacOS 64bit x86 and ARM with Python versions from 3.8 to 3.13.

Building from source

If the precompiled versions do not suit your needs, build ipaacar-python from source.

• Install Rust and Cargo using rustup: curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

• Install Python (3.13 recommended), create and use a virtual environment

• Install Maturin: pip install maturin

• Build the wheel package inside the ipaacar-python folder: maturin build --release

• Install the wheel: pip install ../target/wheels/FILENAME.whl

Rust

Usage over ssh (recommended)

You can use the library by linking it over git ssh. You will always use the newest version like this.

[dependencies]
ipaacar-core = { git = "ssh://[e-mail]:scs/ipaacar.git"}

If the project is still hosted on the uni gitlab, setup ssh authentication and create .cargo/config.toml with this content:

[net]
git-fetch-with-cli = true

Downloading source files

Download the ipaaca-core folder and place it into your project directory. You can use the library by linking it in your Cargo.toml like this:

[dependencies]
ipaacar-core = { path = "/ipaacar-core" }

Depending on your folder structure you might need to adjust the path.

Documentation

Documentation is available for:

Python

Documentation of the Python API. Build with pdoc.

Rust

Documentation of the Rust library. Build with standard rust docs.