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 main # or target branch
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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