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Backend.AI Console Server

Project description

backend.ai-console-server

A minimal webapp to convert web session requests to API requests

Installation

Prepare a Python virtualenv (Python 3.7 or higher) and a Redis server (5.0 or higher).

$ git clone https://github.com/lablup/backend.ai-console-server console-server
$ cd console-server
$ pip install -U -e .
$ cp console-server.sample.conf console-server.conf

Mode

If service.mode is set "webconsole" (the default), the console server handles PWA-style fallbacks (e.g., serving index.html when there are no matching files for the requested URL path). The PWA must exclude /server and /func URL prefixes from its own routing to work with the console server's web sessions and the API proxy.

If it is set "static", the console server serves the static files as-is, without any fallbacks or hooking, while preserving the /server and /func prefixed URLs and their functionalities.

If you want to serve console in console-server with "webconsole" mode, prepare static console source by choosing one of the followings.

Option 1: Build console from source

Build backend.ai-console and copy all files under build/bundle into the src/ai/backend/console/static directory.

Option 2: Use pre-built console

To download and deploy console from pre-built source, do the following:

git submodule init
git submodule update
cd src/ai/backend/console/static
git checkout master
git fetch
git pull

Setup configuration for console-server

You don't have to write config.toml for the console as this console server auto-generates it on-the-fly.

Edit console-server.conf to match with your environment.

Usage

$ python -m ai.backend.console.server

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