Dependencies

Malevich provides a package manager service just like pip or npm. Each app that can be run with Malevich can be installed into the current environment and got manifested in the project.

Once a package is installed, Malevich creates a stub module in the malevich module. The stub contains Python objects that can be imported and used within Flows.

Installers

A Malevich depedency can be installed in different ways. Currently, two ways are provided:

Install from Image

An app can be installed directly from Docker image. The image should be pushed to any of image repositories including private ones. Image-based apps can be only used when deployed directly on Core.

To install with image use the following command:

malevich use image <PACKAGE_NAME> <IMAGE_REF> [IMAGE_AUTH_USER] [IMAGE_AUTH_PASSWORD]

Image installer does not require any authorization besides credentials required to access Docker image (in case the image is pushed to a private repository).

Install from Space

Important

Installation using Space requires the project to be connected to a Space account. To connect use the following command:

malevich space login

Apps installed with Space can be deployed both on Core directly or via Space

To install with Space, use the following command:

malevich use space [OPTIONS] PACKAGE_NAME REVERSE_ID [BRANCH] [VERSION]

Automatic Installation

Malevich provides an extensive library of public components that can be installed in your environment. The easiest way to install a public component is to use malevich install <APP_NAMES...> command:

malevich install utility openai

By default, Space installer is utilized. To use the image installer, use:

malevich install utility openai --using image

Python Environment

Malevich is not managing Python environment. It installs apps into the activated Python environment. Once the environment is changed, you may restore dependencies stated in manifest with malevich restore. To show a list of installed apps, you may use malevich list.